Abstract
Purpose Endometriosis is a chronic condition characterized by high fibrotic content and affecting about 10% of women
during their reproductive years. Yet, no clinically approved agents are available for non-invasive endometriosis detection.
The purpose of this study was to investigate the utility of a gadolinium-based collagen type I targeting probe (EP-3533) to
non-invasively detect endometriotic lesions using magnetic resonance imaging (MRI). Previously, this probe has been used
for detection and staging of fibrotic lesions in the liver, lung, heart, and cancer. In this study we evaluate the potential of
EP-3533 for detecting endometriosis in two murine models and compare it with a non-binding isomer (EP-3612).
Procedures For imaging, we utilized two GFP-expressing murine models of endometriosis (suture model and injection
model) injected intravenously with EP3533 or EP-33612. Mice were imaged before and after bolus injection of the probes.
The dynamic signal enhancement of MR T1 FLASH images was analyzed, normalized, and quantified, and the relative loca-
tion of lesions was validated through ex vivo fluorescence imaging. Subsequently, the harvested lesions were stained for col-
lagen, and their gadolinium content was quantified by inductively coupled plasma optical emission spectrometry (ICP-OES).
Results
We showed that EP-3533 probe increased the signal intensity in T1-weighted images of endometriotic lesions in
both models of endometriosis. Such enhancement was not detected in the muscles of the same groups or in endometriotic
lesions of mice injected with EP-3612 probe. Consequentially, control tissues had significantly lower gadolinium content,
compared to the lesions in experimental groups. Probe accumulation was similar in endometriotic lesions of either model.
Conclusions
This study provides evidence for feasibility of targeting collagen type I in the endometriotic lesions using
EP3533 probe. Our future work includes investigation of the utility of this probe for therapeutic delivery in endometriosis
to inhibit signaling pathways that cause the disease.
Keywords
Endometriosis · Lesions · Fibrosis · Collagen type I · Gadolinium · Contrast agent · Magnetic resonance imaging
* Anna Moore
[email protected]
1 Precision Health Program, Michigan State University, 766
Service Road, East Lansing, MI 48824, USA
2 Department of Chemistry, College of Natural Sciences,
Michigan State University, 578 S Shaw Lane, East Lansing,
MI 48824, USA
3 Department of Obstetrics, Gynecology & Reproductive
Biology, Michigan State University, 400 Monroe Avenue
NW, Grand Rapids, MI 49503, USA
4 Department of Animal Science, Michigan State University,
474 S Shaw Ln, East Lansing, MI 48824, USA
5 Department of Radiology, College of Human Medicine,
Michigan State University, East Lansing, MI 48824, USA
6 Institute for Quantitative Health Science and Engineering,
Michigan State University, 775 Woodlot Drive, East Lansing,
MI 48824, USA
834 Molecular Imaging and Biology (2023) 25:833–843
1 3
Introduction
Endometriosis is a common chronic, inflammatory, and
hormone-dependent gynecological condition which is gen-
erally characterized by the presence and growth of ectopic,
endometrial-like tissue outside of the uterine cavity. This
disease mainly affects about 10% of women during their
reproductive years [1, 2]. Endometriosis is associated with
a variety of symptoms such as pelvic pain, dysmenorrhea,
dyspareunia, pain during exercise, urinary dysfunctions,
and related fertility problems. Patients with endometriosis
can experience one or more symptoms or they can be com-
pletely asymptomatic [3 –5]. Distinguishing endometriosis
from other conditions such as pelvic inflammatory disease,
and irritable bowel syndrome is challenging and represents
an unmet clinical need. Inability to make this distinction
is one of the reasons behind the diagnostic delay among
women suffering from endometriosis which can negatively
impact their physical, social, and mental well-being in the
long run [6 –9].
Endometriotic lesions include endometriomas (endo-
metriotic fluid-filled cysts in the ovaries), all forms of
peritoneal lesions (red, black, white, scars, and adhe-
sions), and deep infiltrating lesions (DIE) that include
nodules that invade peritoneal organs to a depth of 5 mm
or more. Red lesions have higher levels of vascularization,
while white lesions are red lesions which have undergone
through inflammation and fibrosis processes over time
[10, 11]. These lesions can be found mainly in the pelvic
area, including ovaries, ligaments, bladder, and peritoneal
surfaces which are normally categorized into four stages
(minimal to severe) based on the extent of the disease.
However, the severity of symptoms does not necessarily
correlate with this staging system [ 1, 12, 13]. Multiple
endometriosis classification systems exist which are nor -
mally governed by complex factors such as color, depth,
anatomical location, and size of the lesions [14, 15].
Diagnostic laparoscopy is the gold standard in endo-
metriosis diagnosis which is normally followed by his -
tological verification. However, since this procedure is
invasive, and if there is no intention to remove lesions
surgically, other non-invasive diagnostic methods in con-
junction with physical examination and assessment of
patient’s medical history are preferable [16, 17]. Although
developing non-invasive and low-invasive methods to
diagnose endometriosis represents a challenge, the diag-
nostic potential of various genetic tests, biomarkers, and
imaging techniques have also been evaluated [12, 18–22].
Imaging techniques that are currently used to diagnose
endometriosis include sonography and magnetic resonance
imaging (MRI). Ultrasound sonography is the first-line
imaging modality in assessment of endometriosis [23, 24].
Transabdominal and transvaginal ultrasounds (TVUS) can
give a more detailed image of the anatomy, compared to
the initial ultrasonography of pelvis area. While TVUS
is a readily available and inexpensive tool, it has limita-
tion in detection of lesions, especially the ones located
above the rectosigmoid junction and on the peritoneum.
Also, its performance is heavily operator dependent, which
presents a significant limitation for precise diagnosis [25,
26]. Despite being more expensive, MRI can be used when
ultrasound results are unclear and high spatial resolution
is needed [27]. Despite dedicated MRI protocols which
include both T1 and T2-weighted sequences, this modality
can easily overlook solid masses of endometriotic tissue
due to their small and atypical signal character [27– 31].
Due to limitations presented by ultrasound and MRI,
patients with negative imaging results must still be sub-
jected to laparoscopy to obtain a definite diagnosis [ 16].
Developing targeted contrast agents for MRI can increase
the signal difference between the lesions and surrounding
tissues, especially for detection of non-pigmented lesions
without intrinsic T1 hyperintense signal [32, 33]. Despite
several published studies describing the development of
targeted contrast agents for imaging of endometriosis, as
of today, no clinically approved agents are available [30,
34, 35]. Availability of such agents would significantly aid
in precise diagnosis of this disease including the location
of the lesions.
Ectopic endometriotic lesions are wounds undergoing
repeated cycles of tissue injury and repair (ReTIAR) stimu-
lating microenvironment-mediated epithelial-mesenchymal
transition (EMT), fibroblast-to-myofibroblast transdiffer -
entiation (FMT), smooth muscle metaplasia (SMM), and
fibrosis [36–38]. The consistent presence of fibrosis in all
lesion forms points to endometriosis as a fibrotic condition
characterized by excess deposition of collagens, primarily
type I collagen [9 , 37–40]. Importantly, it was previously
shown that immunoreactivity toward collagen type I in the
ectopic lesion sections collected from a mouse model of
endometriosis was elevated as the disease progressed [41].
Therefore, the presence of fibrosis in endometriotic lesions
makes it an attractive biomarker for targeting by affinity
ligands incorporated in contrast agents. Previous studies
aimed at imaging fibrosis in other pathologies have identi-
fied a peptide directed against human collagen type I using
phage display [42]. This collagen type I binding peptide con-
sists of 16 amino acids with 10 of them producing the cyclic
part between two cysteines. Biphenylalanine (Bip) at the
amidated C terminus of the peptide is believed to increase
the collagen type I binding ability, with a Kd = 1.8 μM. The
peptide was synthesized using conventional solid-phase
techniques and functionalized with three Gd (DTPA) moie-
ties through thiourea linkages to improve the sensitivity of
the contrast agent (termed EP-3533). Relaxivity of EP-3533
835Molecular Imaging and Biology (2023) 25:833–843
1 3
was reported as 16.2 mM−1 s−1 at 4.7 T MR [42–44]. Also,
near the common imaging field of 1.5 T, the relaxivity of
EP-3533 was five times higher than Magnevist per Gd atom
and 15 times higher per molecule [42]. This probe was previ-
ously tested with various field strengths and demonstrated
successful targeting of fibrotic content in tissues of various
pathological conditions at 4.7 T [42], 3 T [45], and 1.4 T
[46, 47]. In previous studies, EP-3533 has been used for
detection and staging of fibrotic lesions in animal models
of liver fibrosis [ 47–50], pulmonary fibrosis [ 51], cardiac
fibrosis [43], and pancreatic cancer [40].
In this study, we utilized, for the first time, EP-3533 for
detection of fibrotic endometriotic lesions using MRI in two
murine models of endometriosis. As a result of our stud-
ies, we demonstrated that the accumulation of EP-3533 in
fibrotic endometriotic lesions in both suture and injection
models was significantly higher, compared to its accumula-
tion in control tissue. Also, the specificity of EP-3533 for
endometriotic fibrosis was validated by comparison with а
control non-binding isomer (EP-3612).
This study serves as the first demonstration of the utility
of EP-3533 for magnetic resonance imaging of endometri-
otic lesions. We believe that this agent can be further inves-
tigated as a potential vehicle for delivery of therapeutics tar-
geting various signaling cascades that initiate endometriosis
development [52–55].
Materials and methods
Animal Models of Endometriosis
In this study, we used two murine models of endometriosis
that differ in the way the disease was initiated.
For the injection model, 8-week-old female Pgrcre/+
Rosa26mTmG/mTmG mice ([56]; n = 5) were treated for 3 days
with 17β estradiol (E2, Sigma-Aldrich; 1 mg/mL in oil,
0.1 μg/mouse/day) in order to synchronize the estrus cycle
and improve lesion development. After the last E2 injec-
tion, endometriosis was induced, as previously described
by us [57]. Briefly, the lesions were established by inoc-
ulating endometrial tissue into the peritoneal cavity. To
access the peritoneal cavity, mice underwent a laparotomy
under anesthesia and a midventral incision (1 cm) was per -
formed to expose the uterus and intestine. The left uterine
horn was removed, placed in a petri dish with sterile PBS,
opened longitudinally, and cut into small fragments. The
fragments suspended in 0.5 mL sterile PBS were injected
into the peritoneal cavity of the same mouse from which
the uterus was taken for an autologous implantation, and
the abdominal cavity was gently massaged to disperse the
tissue. This unique Pgrcre/+ Rosa26mTmG/mTmG mouse model
of induced endometriosis is characterized by the presence
of the progesterone receptor (Pgr)-positive cells expressing
green fluorescent protein (mGFP), allowing for accurate
localization and visualization of the endometriotic lesions
using fluorescence imaging [56].
In the suture method, endometriosis was induced in
7-week-old female Pgrcre/+ Rosa26mTmG/+ mice (n = 6).
The induction of a suture endometriosis model consisted
of two steps. During the first step, mice were ovariec-
tomized. Briefly, the ovaries were isolated and ligated
with sterile absorbable suture. A loop suture was placed
between the ovary and the tip of the uterus, and the ovaries
were then excised. Wound clips were removed 7–10 days
post-surgery, and the mice were allowed to recover for 14
days. Following recovery, the ovariectomized mice were
treated for 3 days with 17β Estradiol (E2, 0.1 μg/mouse/
day) in order to synchronize the estrus cycle prior to sec-
ond surgery during which one uterine horn was removed.
In order to remove a uterine horn, a midline abdominal
incision was made, and the caudal end of the uterine horn
near the uterotubal junction was cut and ligated with
sterile absorbable suture. The removed uterine horn was
opened longitudinally, and tissue samples were obtained
using a 2-mm dermal biopsy punch. Three biopsies were
sutured to the peritoneal wall (3 in each side, total of 6)
using a 7-0 braided silk suture. The muscle layer was
closed as one layer, then the skin as a second layer. After
this procedure, the abdominal incision was closed. A small
subcutaneous incision was made at the nape of the neck to
create a pocket for an E2 pellet with an expected release
concentration of approximately 0.13 mg/day to provide a
controlled source of hormone that promotes lesion growth
in the absence of the ovaries. Once the pellet was inserted,
a wound clip was placed to close the skin. Wound clips
were removed 7-10 days post-surgery.
All animal studies were approved by the Institutional Ani-
mal Care and Use Committee at Michigan State University
and are in compliance with the National Institutes of Health
Guide for the Care and Use of Laboratory Animals.
Contrast Agent for MR Imaging
EP-3533 and EP-3612 contrast agents were purchased from
Collagen Medical (Belmont, MA). EP-3612 has an identical
structure to EP-3533, except that one of the cysteine moieties is
changed from L-Cys in EP-3533 to D-Cys in EP-3612 (struc-
ture diagram is shown in Suppl. Fig. 1, see ESM). Systematic
replacement of amino acids with their D-amino acid counter-
parts led to a significant decrease in the activity of the peptide,
particularly when cysteine amino acid was substituted. This
change in chirality results in > 100-fold loss in collagen affinity
and design of the non-binding isomer (EP-3612); however, its
relaxivity remains equivalent to EP-3533 [40, 42–44].
836 Molecular Imaging and Biology (2023) 25:833–843
1 3
Magnetic Resonance Imaging
In vivo MRI was performed on both models of endome-
triosis on average 2 months post-endometriosis induction.
Previously, it was shown that endometriotic lesions exhibit
a gradual increase in fibrotic content and reach a highly
fibrotic state in 6 weeks [41]. Mice were anesthetized using
1.5 to 3% isoflurane in oxygen, and tail veins were catheter-
ized. Temperature (~35 °C) and breathing were monitored
and maintained throughout the experiment (SAII Small
Animal Instruments, Inc., Stony Brook, NY). For imaging,
mice from both groups were injected intravenously with
bolus injections of the targeted EP-3533 probe (10 μmol/
kg). Control mice in each group were injected with a non-
binding EP-3612 probe (10 μmol/kg). This dosage selection
was based on prior studies that effectively utilized EP-3533
to specifically target and evaluate fibrotic conditions [40,
46, 51]. Injections were followed by a 100 μL of saline flush
over 30 s. Imaging continued for 55 min post-injection with
1- or 2-min temporal resolution. Images were acquired on a
7 Tesla Biospec 70/30 USR (Bruker, Billerica, MA) using an
86-mm-diameter volume transmit coil and 4 channel surface
array receive coil (4 × 4 cm). Fat-suppressed T1-weighted
FLASH images were acquired for a total acquisition time of
1 h, with TR = 76.2 ms, TE = 2.6 ms, FOV = 30 × 30 mm,
9 slices, 0.5-mm slice thickness, flip angle 30°, and resolu-
tion of 200 × 200 × 500 μm. Images were analyzed using
Paravision 360 v3.1 software (Bruker). Regions of interest
(ROI) were randomly distributed throughout the lesion lin-
ings covering most of the lining area. The ROIs of the mus-
cle tissue (mouse leg skeletal muscle) were used as controls
within each group of mice. The percent increase of the signal
enhancement was calculated for each time point based on a
region of interest and normalized to the baseline.
Ex vivo Fluorescence Optical Imaging
After acquiring MR images, mice were euthanized and ex
vivo fluorescence optical imaging was performed to confirm
the location of GPF-expressing lesions in the peritoneal cav-
ity (IVIS Spectrum, Perkin Elmer, Hopkinton, MA). Image
analysis was performed using the Living Image 4.2 software
(Perkin Elmer).
Histology
After ex vivo imaging, lesions and control tissues (muscle)
were collected and either embedded into optimal cutting
temperature compound (OCT, Sakura Finetek, Torrance,
CA) and immediately frozen in liquid nitrogen or fixed in
10% formalin (Fisherbrand, Pittsburg, PA) and embedded in
paraffin. OCT-embedded tissues were cut into 10-μm sec-
tions, fixed, and stained with Masson’s Trichrome Stain Kit
(Polysciences, Warrington, PA) in accordance with the man-
ufacturer’s instructions. Masson’s trichrome stain is used to
assess the collagen content of tissues by staining collagen
fibers in blue, cell nuclei in black, and both muscle and cyto-
plasm in red. Slides stained for collagen were analyzed with
a digital pathology scanner (Aperio Versa automated slide
scanning imaging system, Leica Biosystems Imaging, Deer
Park, IL). Paraffin-embedded sections were stained with
hematoxylin and eosin (H&E; VWR). H&E-stained slides
were imaged with light microscopy and analyzed with SPOT
4.0 Advance version software (Diagnostic Instruments, Ster-
ling Heights, MI) for the presence of stroma and glands to
validate endometriosis lesions.
ICP‑OES Analysis
To quantitate gadolinium content in the collected lesions and
muscle tissues, samples were dried, weighed, and digested
with 69% nitric acid (TraceSELECT™, Fluka, USA). Sam -
ples were then diluted further to 4% nitric acid and filtered
to obtain a solution with no visible debris. Gadolinium con-
tent was determined for each sample by inductively coupled
plasma optical emission spectrometry (ICP-OES) using a
710-ES spectrometer (Varian, Palo Alto, CA). For all ICP-
OES measurements, blank nitric acid, and samples with
known Gd concentration as calibration were prepared and
tested concurrently with test tissue samples. All measure-
ments were carried out in triplicates, and the data were nor-
malized to the dry tissue weight and reported as mean ± SD.
Statistical Analysis
All data were represented as mean ± SD. Statistical analysis
was performed using a two-tailed Student’s t-test. P < 0.05
was considered statistically significant.
Results
Dynamic EP‑3533 Enhanced Magnetic Resonance
Imaging
To determine whether EP-3533 probe could be used for prob-
ing endometriotic lesions based on collagen targeting, we
performed dynamic contrast enhanced magnetic resonance
imaging (DCE-MRI). We expected that in fibrotic lesions
overexpressing collagen, the binding of the contrast agent
would lead to a longer signal enhancement and a slower lesion
signal washout. As evident from Fig. 1a and c, the endome-
triotic lesions in both suture and injection models appear
relatively homogeneous in the pre-injection T1-weighted
MR images. Fifty-five minutes post-EP-3533 injection, there
was a relatively rapid signal enhancement in the lesion lining
837Molecular Imaging and Biology (2023) 25:833–843
1 3
(Fig. 1b and d) during the first 6 min in both suture and injec-
tion models which overall led to an average of 21 ± 4.6 and
16.8 ± 6.2% signal enhancement, respectively (Fig. 2a and b).
The data from the control muscle tissue from both endome-
triosis models showed a rapid increase (approximately 5–7%
signal enhancement) after the injection followed by the wash-
out that did not show an overall significant enhancement 55
min post-injection (3.9 ± 1.5 and 3.3 ± 0.66% for suture and
injection models, respectively; Fig. 2a and b).
Comparison of DCE-MR images of control mice pre-
(Fig. 1e and g) and post- EP-3612 injection (Fig. 1f and h)
showed significantly lower signal enhancement 54 min post-
probe injection in both models (0.2 ± 0.5 and 1.9 ± 2.4% sig-
nal enhancement for suture and injection models respectively,
Suppl. Fig. 2a and b, see ESM), compared to the experimental
group injected with EP-3533 in both endometriosis models.
Lesion Location Validation
In order to confirm the presence of the lesions detected
with MR imaging, ex vivo fluorescence imaging was per -
formed. After the last MR image acquisition, mice were
euthanized and the exposed peritoneum was photographed
in both suture and injection models (Fig. 3a and d; enlarged
images are shown in Fig. 3b and e). To detect and confirm
the presence and location of all GPF-expressing lesions,
including smaller lesions that might not be easily visible
with the naked eye, we performed fluorescence imaging
that detected progesterone-positive tissues including uterine
horn and endometriotic lesions (Fig. 3c and f). The relative
anatomical location of endometriotic lesions observed on
MR images aligned with the location of lesions identified
using fluorescence imaging. Specific anatomical landmarks
in the images are depicted in Suppl. Fig. 3a–h, see ESM.
Imaging of excised lesions confirmed GFP expression in
both suture and injection models (Suppl. Fig. 4a and b, see
ESM). These findings confirmed the presence and location
of the lesions that were identified by MRI. To confirm the
presence of endometriotic lesions microscopically, collected
lesions induced with both suture and injection methods were
stained with H&E showing the typical presence of endo-
metrial glands and stroma (Suppl. Fig. 5a and b, see ESM).
Histological Assessment of Fibrosis
Masson’s trichrome stain is used to assess and visualize the extent
of fibrosis in both human biopsies and animal models of human
fibrotic disease. Here, we used Masson’s trichrome staining to
evaluate the extent of fibrosis in endometriosis mouse models.
The results showed a relatively large blue area of the collagen-
rich fibrotic regions throughout sections from models induced
with either suture (Fig. 4a and b) or injection (Fig. 4c and d)
Fig. 1 Representative
T1-weighted magnetic
resonance images of suture
and injection mouse models
of endometriosis injected with
collagen type I targeting probe
(EP-3533) or control non-bind-
ing probe (EP-3612). Images
(a), (b), (e), and (f) represent
the suture mouse model and
images (c), (d), (g), and (h)
represent the injection mouse
model of endometriosis. (a) and
(c) Baseline, before EP-3533
injection and (b), (d) 55 min
post EP-3533 injection. (e) and
(g) Baseline, before EP-3612
and (f) and (h) 55 min post
EP-3612 injection. Red dotted
ovals: endometriotic lesions.
Red arrows point to endome-
triotic lesion lining. Note the
enhancement of lesion lining 55
min post injection (red arrows)
in the group injected with
EP-3533. Scale bar for (a), (b),
(c), (d), (e), and (f) = 5 mm;
scale bar for (g) and (h) = 3 mm
838 Molecular Imaging and Biology (2023) 25:833–843
1 3
methods, demonstrating overexpression of collagen as a suitable
target for EP-3533 probe. It is noteworthy that most of the lesions
especially those induced by the suture method were cystic and
filled with liquid and showed collagen expression in their lining.
Quantification of Tissue Gadolinium Content
To confirm that the enhancement observed on MR images
after the injection of EP-3533 was caused by Gd, we col-
lected tissue samples from both experimental and control
groups and analyzed them for Gd content by ICP-OES. The
Results
showed that the Gd concentration in endometriotic
lesions of experimental group was 26.7 ± 10.0 and 20.6 ±
7.7μg Gd/g dry tissue in suture and injection models, respec-
tively which was significantly higher than that in skeletal
muscle of the same groups (2.2 ± 3.0 and 4.2 ± 1.7 μg Gd/g
dry tissue for suture and injection models respectively, p <
0.05, Fig. 5a and b). Similarly, injection of a non-binding
EP-3612 probe resulted in a low accumulation in the lesions
and muscles of both animal models (2 ± 1.6 and 3.2 ± 1.8
μg Gd/g dry lesion tissue and 1.44 ± 0.28 and 1.15 ± 0.27
μg Gd/g dry muscle tissue in suture and injection models
respectively, Fig. 5a and b). Our data demonstrate that the
only tissues that accumulated a significant amount of Gd
were endometriotic lesions from both animal models.
Discussion
A better understanding of endometriosis is needed to suc-
cessfully develop new non-invasive diagnostic methods [15]
and effective drugs. While imaging is currently used as a
non-invasive method to detect endometriotic lesions [23],
it does not allow for specific and reliable diagnosis. The
main reason is heterogeneity of endometriotic lesions and
the paucity of suitable molecular biomarkers. In our search
for a consistent biomarker, we focused on a fibrotic aspect of
endometriosis and investigated whether imaging probes tar-
geting collagen type I in ectopic endometriotic lesions could
be used for its detection. Fibrosis is defined by the overex-
pression of collagen and is considered as one of the hall-
marks of the disease [58, 59]. In this study, a Gd-containing
collagen type I binding probe (EP-3533) previously used
for imaging fibrosis in multiple animal models [40, 42, 43,
47–51] was evaluated for imaging endometriosis. EP-3612,
a non-binding isomer, which only differs from EP-3533 by
the chirality of one cysteine residue, thereby significantly
reducing its affinity for collagen [42] was used as control.
Recent studies demonstrated that fibrotic component of
the lesions, especially collagen type I, tends to increase over
time as the disease progresses in both humans and baboon
models of endometriosis [36, 39, 41, 60]. Therefore, the
Fig. 2 DCE MRI analysis of
signal enhancement of endo-
metriotic lesions (blue) and
muscle tissue (orange) from
mice injected with EP-3533 in a
suture and b injection mod-
els. Percentage of MR signal
enhancement on y-axis was
normalized to the average of
baseline signal. The probe was
injected at 5 min, and mice were
imaged for 55 min. Error bars
are standard deviations of signal
enhancements averaged within
the group of mice for each
experimental model
839Molecular Imaging and Biology (2023) 25:833–843
1 3
rationale behind using the older stage lesion in this proof-
of-principle study was based on the fact that higher levels
of fibrotic content develop in the later stages of the disease
[14]. Since one of the main symptoms of endometriosis is
pain, which is often mistaken for menstrual cramps, many
patients seek medical advice years after the disease initia-
tion, suggesting a need for a probe which can identify estab-
lished lesions with significant fibrotic content.
To accomplish this, we used two well-established endome-
triosis induction methods, namely the suture method and the
injection method commonly employed in pre-clinical studies
[61]. The primary justification for using both models was
based on their application to our studies. While the suture
model is not meant to mimic distinct pathologies, it provides
for the exact location of the lesions so they can be identifiable
in our proof-of-concept imaging studies. Equipped with this
knowledge, we next moved to the injection model where the
locations of the lesions are random and closely represent a
clinical scenario situation. Our studies demonstrated that it
was feasible to detect lesions in both models using EP 3533.
The question may be raised whether exogenous estrogen
used for the lesion induction could impact collagen type I
expression/detection by EP3533. It is noteworthy that mice
in both models received estrogen injections for 3 days prior to
lesion induction to synchronize the uterus. Following the inoc-
ulation, the animals had normal ovarian hormone levels associ-
ated with the different stages of the estrous cycle. This mimics
the natural hormonal fluctuations experienced by women who
are not undergoing any form of suppressive hormone therapy.
Both mouse models of endometriosis were dynamically
imaged with MRI T1 FLASH sequence pre- and post-injec-
tion of the probes. This was achieved by the acquisition of
a series of baseline images without contrast enhancement,
followed by a series of images acquired over time during and
after the administration of the contrast agent.
In both endometriosis models, MR images showed an
increase in signal intensity of lesion lining which appeared
brighter compared to the signal before injection in group
injected with EP-3533. The results from DCE-MRI showed
a relatively fast enhancement of normalized signal intensity
from the lesion linings after EP-3533 injection in both suture
and injection model lesions. This initial signal enhancement
can be due to the build-up of the excess probe in the circula-
tion followed by washout. In the suture model, as the unbound
probe clears out gradually and decreases the signal intensity,
the specific binding of the probe to its target simultaneously
Fig. 3 Representative ex vivo images of endometriotic lesions. Pho-
tographs (a) and (d) and magnified images of the lesions (b) and
(e) taken after opening the peritoneal wall in suture and injection
endometriosis models, respectively. Ex vivo fluorescence imaging
shows progesterone positive lesions expressing GFP in suture (c)
and injection (f) endometriosis models. Green dotted oval: endome-
triotic lesions. Black dotted line: border of the lesions. Note that in
the injection model (c) bladder was covered with black paper to better
visualize the signal from the lesions. Scale bar = 5 mm
840 Molecular Imaging and Biology (2023) 25:833–843
1 3
increases the signal. Here, we did not observe a significant
difference in the signal intensity from 5-min post-injection to
55 min which might be because of the same rate of unbound
probe washout and specific binding. This can ultimately create
an equilibrium which can be seen as a relatively flat line in
the MR signal enhancement plot after the completion of both
washout and targeted accumulation. As a result, the signal
experiences no further significant change and reaches a pla-
teau. In the injection model as the unbound probe clears out
gradually and decreases the signal intensity, the specific bind-
ing of the probe to its target simultaneously increases. Here,
the unbound probe washout was higher, compared to spe-
cific binding which leads to lower final signal enhancement,
compared to the suture model. This can be due to the fact
that there was a higher fibrotic content in the suture model,
compared to the injection model (Fig. 4c and d) and an over-
all lower number of lesions for MR analysis in the injection
model. The large standard deviation of signal enhancement in
both models, especially post-probe injection can be attributed
to the heterogeneous nature of the lesions in terms of collagen
type I content. For example, cystic lesions have more fluid and
thin fibrotic wall which can be harder to analyze using MR
image analysis software and have a potential to increase error
in measurements. While younger lesions can minimize cystic
characteristics they are likely to have less fibrotic content. The
baboon model of endometriosis with deep nodular lesions, on
the other hand, is associated with the highest fibrotic content
[62] and could help solve this problem. In our future studies,
we plan to utilize this model as it mimics human deep nodular
lesions characterized by less cystic features and a higher pro-
portion of fibrotic content [62]. Regardless, quantitative ICP-
OES analysis demonstrated significantly higher Gd content in
endometriotic lesions in both models after EP-3533 injection,
compared to accumulation in muscle tissues or in both lesion
and muscle tissues after the injection of EP-3612 non-bind-
ing isomer. Histological analysis of harvested endometriotic
lesions from these mice showed the presence of a relatively
high collagen content, especially in the suture model. This
agrees with previous studies showing that collagen content
tends to increase in endometriosis over time [41].
The majority of animal models of endometriosis involve the
induction of lesions using endometrial fragments that are not
properly separated from the surrounding myometrium. Conse-
quently, in some cases, the myometrium constitutes a signifi-
cant portion of the resulting lesions, which does not accurately
reflect the composition of human endometriotic lesions [63].
In both endometriosis models used in this study, the myome-
trium was included in the endometrial tissue biopsies used for
the induction of lesions. However, it was chopped into very
fine pieces to produce the lesions. Also, based on Masson’s
Fig. 4 Representative images of Masson trichrome staining of endo-
metriotic lesion tissue sections demonstrating the relative extent of
fibrosis. a, b Lesions from suture model. c, d Lesion from injection
model. Blue — collagen fibers; red — cytoplasm, muscle; black —
cell nuclei. Magnification bar = 400 μm (a, c); 100 μm (b, d). Lesion
in (c) is represented by the yellow dotted circle. Note that the colla-
gen content in the suture model is more pronounced than in the injec-
tion model
841Molecular Imaging and Biology (2023) 25:833–843
1 3
trichrome-stained images of lesions (Fig. 4), despite the sig-
nificant presence of collagen in endometriotic lesions, we do
not see evidence of distinct myometrial tissue around lesions
or collagen within the myometrial tissue and the lack of sepa-
ration between myometrium and endometrium is unlikely to
affect the accumulation of EP-3533 in the lesions.
We need to acknowledge that besides endometriotic lesions,
EP-3533 could insignificantly while non-specifically accumulate
in other organs, as observed in previous studies [42, 64]. To
reduce this effect, other collagen type I binding probes such as
CM-101 with much more stable macrocycle gadoterate meg-
lumine (Gd-DOTA) chelate and better pharmacokinetics are
being developed and studied [65]. Furthermore, 68Ga-labeled
version of EP-3533 is currently being evaluated in clinical trials
for type 1 collagen deposition in idiopathic pulmonary fibrosis
(NCT05 621252), so that clinical translation to the patients with
endometriosis could be significantly simplified.
It is also important to note that certain surgeries and lap-
aroscopic procedures may cause adhesions and the devel-
opment of fibrotic scars [66, 67]. Specific endometriotic
lesions, such as cesarean scar endometriosis, may arise due
to the presence of scar tissue resulting from prior abdominal
surgeries [68, 69] and interfere with EP3533 imaging. For
that reason, a patient’s clinical history should be taken into
account while differentiating surgically-induced scars from
endometriotic lesions, particularly based on the documented
anatomical location of previous surgeries [70, 71].
Overall, our data demonstrated for the first time that fibro-
sis, which is considered a pathological feature of endometri-
osis, can be further investigated as an appropriate target for
EP-3533. After performing initial studies in murine models,
we plan to embark on imaging endometriosis in large models
such as baboons, with which we have extensive experience and
which better recapitulates human disease [36, 55]. Concur-
rently, we are developing image-guided therapies (theranos-
tics) for endometriosis based on EP-3533 targeting aiming to
inhibit signaling pathways that cause the disease [52, 54, 55].
Conclusion
Considering the consistent presence of fibrosis in all endo-
metriosis disease forms, we consider it an excellent bio-
marker, which could be used for diagnostic and/or thera-
peutic delivery purposes. Here, we evaluated a Gd-based
collagen type I targeting probe (EP-3533) as an MR imaging
probe and showed its utility for detection of endometriotic
lesions in mouse models of endometriosis.
Supplementary Information The online version contains supplemen-
tary material available at https:// doi. org/ 10. 1007/ s11307- 023- 01833-6.
Acknowledgments We would like to thank Tom Wood and other mem-
bers of MSU Veterinary Diagnostics Laboratory for technical assis-
tance in tissue procurement and preparation.
Author Contribution N. T. contributed to the concept, data acquisition,
analysis, and wrote the draft of the manuscript; M. O. contributed to
the design of animal models, conducted all of the surgical procedures
for the induction of endometriosis, contributed to data acquisition, and
revising the manuscript; E. K. contributed to the data acquisition; C.
M. contributed to in vivo imaging, data acquisition, and analysis; A.
F. contributed to the concept, design of animal models, revision of
manuscript, and financial support of the study; A. M. contributed to
the concept, revision of the manuscript, data analysis, and financial
support of the study.
Funding This work was supported in part by the NIH R01HD099090
to A. F. This work was supported in part by the NIH HD 099090 to
A.F. and by the Eunice Kennedy Shriver National Institute of Child
Health & Human Development of the National Institutes of Health
under Award Number T32HD087166, and Michigan State University
to M.A.O.B. The content is solely the responsibility of the authors
and does not necessarily represent the official views of the National
Institutes of Health.
Declarations
Ethics Approval Animal studies were approved by the Institutional
Animal Care and Use Committee at Michigan State University and
Fig. 5 ICP-OES analysis of average gadolinium content in lesion and
muscle tissues after injection of EP-3533 and EP-3612 probes in a
suture and b injection models. Gd tissue content was normalized to
the dry weight of the tissue. Results are presented as means ± SD.
Note that Gd content was significantly higher in endometriotic lesions
of mice of both suture and injection models injected with EP-3533,
compared to that in the lesions from the animals injected with
EP-3612 or in the muscle tissues (p < 0.05)
842 Molecular Imaging and Biology (2023) 25:833–843
1 3
are in compliance with the National Institutes of Health Guide for the
Care and Use of Laboratory Animals. All applicable institutional and/
or national guidelines for the care and use of animals were followed.
Conflict of Interest The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attri-
bution 4.0 International License, which permits use, sharing, adapta-
tion, distribution and reproduction in any medium or format, as long
as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons licence, and indicate if changes
were made. The images or other third party material in this article are
included in the article's Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not included in
the article's Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.
References
1. Zondervan KT, Becker CM, Koga K, Missmer SA, Taylor RN,
Viganò P (2018) Endometriosis. Nat Rev Dis Primers 4:9
2. Malvezzi H, Marengo EB, Podgaec S, Piccinato CA (2020) Endo-
metriosis: current challenges in modeling a multifactorial disease
of unknown etiology. J Translat Med 18:1–21
3. Prentice A (2001) Regular review-endometriosis. British Med J
323:93–95
4. Harada T (2013) Dysmenorrhea and endometriosis in young
women. Yonago Acta Med 56:81
5. Gruber TM, Mechsner S (2021) Pathogenesis of endometriosis:
the origin of pain and subfertility. Cells 10:1381
6. Surrey E, Soliman AM, Trenz H, Blauer-Peterson C, Sluis A
(2020) Impact of endometriosis diagnostic delays on healthcare
resource utilization and costs. Adv Ther 37:1087–1099
7. Marinho MC, Magalhaes TF, Fernandes LFC, Augusto KL, Brilhante
AV, Bezerra LR (2018) Quality of life in women with endometriosis:
an integrative review. J Womens Health 27:399–408
8. Missmer SA, Tu FF, Agarwal SK et al (2021) Impact of endometrio-
sis on life-course potential: a narrative review. Int J Gen Med 14:9
9. Hosper NA, van den Berg PP, de Rond S et al (2013) Epithelial-to-
mesenchymal transition in fibrosis: collagen type I expression is
highly upregulated after EMT, but does not contribute to collagen
deposition. Exp Cell Res 319:3000–3009
10. Rolla E (2019) Endometriosis: advances and controversies in classifi-
cation, pathogenesis, diagnosis, and treatment. F1000Research 8:529
11. Alimi Y, Iwanaga J, Loukas M, Tubbs RS (2018) The clinical
anatomy of endometriosis: a review. Cureus 10:e3361
12. Parasar P, Ozcan P, Terry KL (2017) Endometriosis: epidemiology,
diagnosis and clinical management. Curr Obstet Gynecol Rep 6:34–41
13. Canis M, Donnez JG, Guzick DS et al (1997) Revised American
Society for Reproductive Medicine Classification of Endometrio-
sis: 1996. Fertil Steril 67:817–821
14. Lee S-Y, Koo Y-J, Lee D-H (2021) Classification of endometrio-
sis. Yeungnam Univ J Med 38:10–18
15. Khazali S (2016) Endometriosis classification-the quest for the
Holy Grail? J Reprod Infertil 17:67–68
16. Becker CM, Bokor A, Heikinheimo O et al (2022) ESHRE guide-
line: endometriosis. Hum Reprod Open 2022:hoac009
17. Pascoal E, Wessels J, Aas-Eng M et al (2022) Strengths and
Limitations
of diagnostic tools for endometriosis and relevance
in diagnostic test accuracy research. Ultrasound Obstet Gynecol
60:309–327
18. Wykes CB, Clark TJ, Khan KS (2004) Accuracy of laparos-
copy in the diagnosis of endometriosis: a systematic quantitative
review. BJOG 111:1204–1212
19. Nilufer R, Karina B, Paraskevi C et al (2018) Large-scale
genome-wide association meta-analysis of endometriosis
reveals 13 novel loci and genetically-associated comorbidity
with other pain conditions. BioRxiv:406967
20. May K, Conduit-Hulbert S, Villar J, Kirtley S, Kennedy S,
Becker C (2010) Peripheral biomarkers of endometriosis: a
systematic review. Hum Reprod Update 16:651–674
21. Kiesel L, Sourouni M (2019) Diagnosis of endometriosis in the
21st century. Climacteric 22:296–302
22. Nisenblat V, Bossuyt PM, Farquhar C, Johnson N, Hull ML
(2016) Imaging modalities for the non-invasive diagnosis of
endometriosis. Cochrane Database Syst Rev 2:CD009591
23. Kinkel K, Frei KA, Balleyguier C, Chapron C (2006) Diag-
nosis of endometriosis with imaging: a review. Eur Radiol
16:285–298
24. Chapron C, Marcellin L, Borghese B, Santulli P (2019) Rethink-
ing mechanisms, diagnosis and management of endometriosis.
Nat Rev Endocrinol 15:666–682
25. Savelli L (2009) Transvaginal sonography for the assessment of
ovarian and pelvic endometriosis: how deep is our understanding?
Ultrasound Obstet Gynecol 33:497–501
26. Exacoustos C, Manganaro L, Zupi E (2014) Imaging for the eval-
uation of endometriosis and adenomyosis. Best Pract Res Clin
Obstet Gynaecol 28:655–681
27. Bourgioti C, Preza O, Panourgias E et al (2017) MR imaging of endo-
metriosis: spectrum of disease. Diagn Interv Imaging 98:751–767
28. Samreen N, Bookwalter CA, Burnett TL et al (2019) MRI of endo-
metriosis: a comprehensive review. Appl Radiol 48:6–12
29. Siegelman ES, Oliver ER (2012) MR imaging of endometriosis:
ten imaging pearls. Radiographics 32:1675–1691
30. Zhang H, Li J, Sun W et al (2014) Hyaluronic acid-modified
magnetic iron oxide nanoparticles for MR imaging of surgically
induced endometriosis model in rats. PLoS One 9:e94718
31. Bianek-Bodzak A, Szurowska E, Sawicki S, Liro M (2013) The
importance and perspective of magnetic resonance imaging in the
evaluation of endometriosis. BioMed Res Int 2013:436589
32. Morawski AM, Lanza GA, Wickline SA (2005) Targeted contrast
agents for magnetic resonance imaging and ultrasound. Curr Opin
Biotechnol 16:89–92
33. Foti PV, Farina R, Palmucci S et al (2018) Endometriosis: clinical
features, MR imaging findings and pathologic correlation. Insights
imaging 9:149–172
34. Moses AS, Demessie AA, Taratula O, Korzun T, Slayden OD,
Taratula O (2021) Nanomedicines for endometriosis: lessons
learned from cancer research. Small 17:2004975
35. Guo S-W (2014) An overview of the current status of clinical trials on
endometriosis: issues and concerns. Fertil Steril 101:183–190 e184
36. Zhang Q, Duan J, Olson M, Fazleabas A, Guo S-W (2016) Cel-
lular changes consistent with epithelial–mesenchymal transition
and fibroblast-to-myofibroblast transdifferentiation in the pro-
gression of experimental endometriosis in baboons. Reprod Sci
23:1409–1421
37. Guo S-W (2018) Fibrogenesis resulting from cyclic bleeding: the
Holy Grail of the natural history of ectopic endometrium. Hum
Reprod 33:353–356
38. Guo S-W, Groothuis PG (2018) Is it time for a paradigm shift in
drug research and development in endometriosis/adenomyosis?
Hum Reprod Update 24:577–598
39. Vigano P, Candiani M, Monno A, Giacomini E, Vercellini P,
Somigliana E (2018) Time to redefine endometriosis including
its pro-fibrotic nature. Hum Reprod 33:347–352
40. Polasek M, Yang Y, Schühle DT et al (2017) Molecular MR imaging
of fibrosis in a mouse model of pancreatic cancer. Sci Rep 7:1–10
843Molecular Imaging and Biology (2023) 25:833–843
1 3
41. Zhang Q, Liu X, Guo S-W (2017) Progressive development of
endometriosis and its hindrance by anti-platelet treatment in mice
with induced endometriosis. Reprod Biomed Online 34:124–136
42. Caravan P, Das B, Dumas S et al (2007) Collagen-targeted MRI
contrast agent for molecular imaging of fibrosis. Angew Chem Int
Ed 46:8171–8173
43. Helm PA, Caravan P, French BA et al (2008) Postinfarction myo-
cardial scarring in mice: molecular MR imaging with use of a
collagen-targeting contrast agent. Radiology 247:788
44. Caravan P, Das B, Deng Q et al (2009) A lysine walk to high
relaxivity collagen-targeted MRI contrast agents. Chem Commun
(4):430–432
45. Li Z, Lu B, Lin J et al (2021) A Type I collagen-targeted mr imag-
ing probe for staging fibrosis in Crohn’s disease. Front Mol Biosci
8:762355
46. Atanasova I, Sojoodi M, Leitão HS et al (2020) Molecular MR
imaging of fibrin deposition in the liver as an indicator of tissue
injury and inflammation. Investig Radiol 55:209
47. Zhu B, Wei L, Rotile N et al (2017) Combined magnetic reso-
nance elastography and collagen molecular magnetic resonance
imaging accurately stage liver fibrosis in a rat model. Hepatology
65:1015–1025
48. Zhou IY, Catalano OA, Caravan P (2020) Advances in functional
and molecular MRI technologies in chronic liver diseases. J Hepa-
tol 73:1241–1254
49. Zhou IY, Clavijo Jordan V, Rotile NJ et al (2020) Advanced MRI
of liver fibrosis and treatment response in a rat model of nonalco-
holic steatohepatitis. Radiology 296:67–75
50. Polasek M, Fuchs BC, Uppal R et al (2012) Molecular MR imag-
ing of liver fibrosis: a feasibility study using rat and mouse mod-
els. J Hepatol 57:549–555
51. Caravan P, Yang Y, Zachariah R et al (2013) Molecular magnetic
resonance imaging of pulmonary fibrosis in mice. Am J Respir
Cell Mol Biol 49:1120–1126
52. Moldovan GE, Song Y, Kim TH et al (2022) Notch effector
recombination signal binding protein for immunoglobulin kappa
J signaling is required for the initiation of endometrial stromal cell
decidualizationdagger. Biol Reprod 107:977–983
53. Moldovan GE, Miele L, Fazleabas AT (2021) Notch signaling in
reproduction. Trends Endocrinol Metab 32:1044–1057
54. Su RW, Strug MR, Joshi NR et al (2015) Decreased Notch path-
way signaling in the endometrium of women with endometriosis
impairs decidualization. J Clin Endocrinol Metab 100:E433–E442
55. Afshar Y, Miele L, Fazleabas AT (2012) Notch1 is regulated by chori-
onic gonadotropin and progesterone in endometrial stromal cells and
modulates decidualization in primates. Endocrinology 153:2884–2896
56. Yoo JY, Kim TH, Shin JH et al (2022) Loss of MIG-6 results in endo-
metrial progesterone resistance via ERBB2. Nat Commun 13:1101
57. Song Y, Su RW, Joshi NR et al (2020) Interleukin-6 (IL-6) acti-
vates the NOTCH1 signaling pathway through E-proteins in endo-
metriotic lesions. J Clin Endocrinol Metab 105:1316–1326
58. Krieg T, Abraham D, Lafyatis R (2007) Fibrosis in connective tis-
sue disease: the role of the myofibroblast and fibroblast-epithelial
cell interactions. Arthritis Res Ther 9:1–7
59. Giannandrea M, Parks WC (2014) Diverse functions of matrix
metalloproteinases during fibrosis. Dis Model Mech 7:193–203
60. Viganò P, Ottolina J, Bartiromo L et al (2020) Cellular compo-
nents contributing to fibrosis in endometriosis: a literature review.
J Minim Invasive Gynecol 27:287–295
61. Tirado-González I, Barrientos G, Tariverdian N et al (2010) Endo-
metriosis research: animal models for the study of a complex dis-
ease. J Reprod Immunol 86:141–147
62. Donnez O, Van Langendonckt A, Defrere S et al (2013) Induction
of endometriotic nodules in an experimental baboon model mim-
icking human deep nodular lesions. Fertil Steril 99(783-789):e783
63. Grümmer R (2006) Animal models in endometriosis research.
Hum Reprod Update 12:641–649
64. Fuchs BC, Wang H, Yang Y et al (2013) Molecular MRI of col-
lagen to diagnose and stage liver fibrosis. J Hepatol 59:992–998
65. Farrar CT, Gale EM, Kennan R et al (2018) CM-101: type I col-
lagen–targeted MR imaging probe for detection of liver fibrosis.
Radiology 287:581–589
66. Maciver AH, McCall M, Shapiro AJ (2011) Intra-abdominal adhe-
sions: cellular mechanisms and strategies for prevention. Int J Surg
9:589–594
67. Herrick SE, Wilm B (2021) Post-surgical peritoneal scarring and
key molecular mechanisms. Biomolecules 11:692
68. Zhang P, Sun Y, Zhang C et al (2019) Cesarean scar endometrio-
sis: presentation of 198 cases and literature review. BMC Womens
Health 19:1–6
69. Xue M, Jackson CJ (2015) Extracellular matrix reorganization
during wound healing and its impact on abnormal scarring. Adv
Wound Care 4:119–136
70. Ten Broek RP, Issa Y, van Santbrink EJ et al (2013) Burden of
adhesions in abdominal and pelvic surgery: systematic review and
met-analysis. BMJ 347:f5588
71. Parker MC, Ellis H, Moran BJ et al (2001) Postoperative adhe-
sions: ten-year follow-up of 12,584 patients undergoing lower
abdominal surgery. Dis Colon Rectum 44:822–829
Publisher’s Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations.
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.