Abstract
Background: Endometriosis impacts 6–10% of all reproductive- age women. Studies have shown the more effectively
endometriosis is removed, the better the patient outcomes for pain reduction and fertility (2, 3). Hemosiderin, glands,
and stroma are the histologic markers of endometriosis; optical coherence tomography (OCT) can identify glands and
hemosiderin has a known endogenous fluorescence than can be detected by two-photon microscopy (TPM). The
hypothesis was that the identification of optical properties of endometriosis using OCT and TPM combined would
improve a surgeon ’s ability to diagnose and treat by improving endometriosis detection compared to current
standards of visual diagnosis.
Methods
Forty-one women with clinically suspected endometriosis undergoing laparoscopy were consented. Women
were enrolled at two clinical sites: University of Texas He alth Science Center, San Antonio and Methodist Healthcare
System, San Antonio. The surgeon made a clinical diagnos is of suspected endometriosis as 1) yes present 2) maybe
present, and 3) not present (controls) from the peritoneum without suspected disease. One-hundred-twenty biopsies
were collected from 27 women with visual ly suspected endometriosis. All three patient biopsy classes were excised and
underwent histologic examination as the gold-standard diagnosis for endometriosis. The samples were imaged ex-vivo
for optical markers of endometriosis; OCT for endometrial glands and TPM for hemosiderin. Histologic markers were co-
registered with optical properties. Biopsies were embedded in agar to maint ain orientation du ring imaging and
histological processing. TPM used the endogenous fluorescence of hemosiderin as a marker. OCT used glands as a
marker. Sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) were calculated.
Results
The main-outcome-measure was the statistical comparison of clinical impression, imaging results, and histologic
truth. Glands, stroma and hemosiderin were present in 49, 72 and 86% of endometriosis samples confirmed by histology.
Clinical suspicion of endometriosis had 98% sensitivity, 53% specificity, 68% PPV, and 96% NPV. In 31 samples of
endometriosis maybe being present, 39% were histologically confirmed. Eighty-eight samples were analyzed using OCT-
TPM. OCT-TPM had 93% sensitivity, 100% specificity, 100% PPV, and 93% NPV.
Conclusions:OCT-TPM is useful in identifying endometriosis’ presence or absence. Evaluation of suspected endometriosis
by OCT-TPM improves surgeons’ abilities to diagnose and treat endometriosis.
Keywords
Endometriosis, Optical coherencetomography, Auto-fluorescence
© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
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* Correspondence:
[email protected]
1Departments of Cardiology, University of Texas Health Science Center at San
Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
6Department of Medicine, University of Texas Health Science Center, 7703
Floyd Curl Drive, San Antonio, TX 78229, USA
Full list of author information is available at the end of the article
Translational Medicine
Communications
Cabe et al. Translational Medicine Communications (2019) 4:9
https://doi.org/10.1186/s41231-019-0038-3
Background
Endometriosis impacts 6 –10% of all reproductive- age
women [1]. The gold standard for diagnosis and treatment
of endometriosis is laparoscopic inspection and excision or
ablation with histologic confirmation. Studies have shown
the more effectively endometriosis is removed, the better
the patient outcomes for pain reduction and fertility [ 2, 3].
However, of the tissue removed during laparoscopy, less
than 70% is confirmed as endometriosis on histologic diag-
nosis [4]. With a 30 –40% recurrence rate for symptomatic
endometriosis after laparoscopic surgery, due to incomplete
surgical excision [5], there are clearly short-comings in the
current surgical diagnosis and management of endometri-
osis. During laparoscopic surgery, the surgeon’sg o a li si d e n -
tification of each endometriosis lesion and sequential
excision of each implant. Complicating the time consuming
process of identification and removal is the potential wide-
spread distribution of endometriosis lesions throughout the
abdominal and pelvic cavities. The distribution of these le-
sions presents a challenge to all surgeons whose diagnostic
imaging tools are normally limited to an unaided eye and
laparoscope with some endometriosis not being immedi-
ately discernible from surrounding tissue. The nature of the
iceberg geometry of endometriosis lesions complicates the
surgery since frequently only a fraction of the lesion is vis-
ible with the remaining endometriosis lesion located below
the surface. Because the surgeon is faced with the divergent
challenges of removing all endometrial lesions without dam-
aging delicate underlying tissues and structures, prolonged
surgeries are common and only partially successful. Patient
outcomes suffer because no effective imaging tools are cur-
rently available in the operating room to allow endometri-
osis lesions to be discerned from surrounding tissues [6].
The current study presents novel solutions for the de-
tection of endometriosis, using optical coherence tomog-
raphy and two photon microscopy (OCT-TPM) imaging.
Hemosiderin is known to have specific excitation/emis-
sion wavelengths [ 7, 8]. We hypothesized that we could
identify hemosiderin as a marker in endometriosis with
TPM imaging of the same excitation/emission pair. He-
mosiderin is particularly relevant because is present in
early-onset endometriosis [ 9]. Further, it is known that
columnar epithelial cells, found in endometriosis glands,
form fluid filled glandular structures and OCT is an op-
tical technique capable of easily identifying fluid filled
spaces in tissues [ 10]. Therefore, we hypothesized that
OCT could be a second optical tool in the detection of
endometriosis. We tested these hypotheses on ex vivo
tissue samples collected by gynecologic surgeons from
women suspected of having endometriosis. Samples
were classified by the surgeon as yes or maybe for the
presence of endometriosis, with suspected negative con-
trols also excised, and these samples were then evaluated
with both optical techniques and compared to the gold
standard, histologic diagnosis. The histologic diagnosis
was made by a gynecologic pathologist (PTV) blinded to
the results of the OCT-TPM imaging.
Methods
The tissue samples were collected at two clinical sites,
University of Texas Health Science Center at San Anto-
nio, and Methodist Healthcare System in San Antonio.
Participants were enrolled between December 18, 2014
and June 6, 2017 in a prospective manner. Two experi-
enced gynecologic surgeons (RDR, BC), each with
greater than 25 years ’ experience diagnosing and treating
endometriosis performed all of the surgical procedures.
Ethical approval
IRB approval for this study was obtained at both clinical
sites. Background information was collected on patients ’
age and race, medical history, and list of medications.
Subjects were approached for consent if they were
undergoing surgery for suspected endometriosis for clin-
ical indications. Informed consent was obtained for all
participants. Subjects were withdrawn if no suspected
endometriosis was identified at the time of surgery. The
mean participant age was 37 (range 22 –46).
Sample collection
Peritoneal biopsy samples were collected at the time of
laparoscopic surgery and the surgeons were asked to make
a clinical diagnosis of each sample removed as “yes”, “no”,
or “maybe” for endometriosis. The location of origin of
these samples was also recorded. Clinically defined endo-
metriosis was described as red, black, or white lesions.
The samples designated in the “no” category were control
samples of normal appearing peritoneal tissue biopsied by
the surgeon. These three categories allowed us to develop
optical signatures of endometriosis. The “maybe” category
allowed us to determine if these optical properties could
improve the sensitivity and specificity of the surgeon ’s
clinical diagnosis. The “maybe” samples represent sus-
pected disease that some surgeons might remove and
others might not depending on location and appearance.
Once the samples were received, imaging was per-
formed to categorize optical properties. Samples were
embedded in agar using a 4x4x2 mm mold and imaged
in the mold. The mold allowed for co-registration with
histology. Specifically ,p r e - e m b e d d i n gi nam o l d
allowed the preservation of tissue orientation and lo-
cation throughout imaging an d histological processing.
Knowledge of tissue orientation allows exact 3D
co-registration between the OCT-TPM images and
stained histologic slides.
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 2 of 11
Imaging procedures
Optical imaging was performed with three imaging sys-
tems, Optical Coherence Tomography (OCT), Two-Pho-
ton Microscopy (TPM), and Wide-Field/Single-Photon
Fluorescence. Imaging was performed within 24 h of sam-
ple excision. OCT imaging was performed on a benchtop
OCT system built in our lab, using Alazar (Pointe-Claire,
QC, Canada) and Santec (Hackensack, NJ, USA) sources,
which operate between 1250 and 1376 nm. These systems
recorded b-scans for the entire sample volume (up to
6.25 × 6.25 × 2 mm). Lateral resolution was 6.1 –12.21 μm/
pixel. Axial resolution was 3.75 –8 μm/pixel. The targets
for OCT imaging were glands. The presence of endomet-
riosis detected by OCT was a void in the image which cor-
responded to a fluid-filled gland in the histology. OCT
penetration depth and wide-field also provided a full vol-
ume view of the samples, ranging in size from 12 to 27
mm3, useful for later co-registration with histology. The
second optical target for endometriosis was the intrinsic
fluorescence of hemosiderin. Hemosiderin has an excita-
tion peak of 450 nm, and an emission peak near 680-690
nm. TPM imaging and Single Photon fluorescence im-
aging were performed on a Prairie View microscope sys-
tem (Middleton, WI, USA). TPM was performed using an
excitation wavelength of 900 nm (twice the one-photon
excitation peak). Fluorescence images using emission
channels, 500 nm, 560 nm, 620 nm, and 690 nm, were re-
corded. Hemosiderin was identified by increased pixel in-
tensity in the 690 nm emission channel. TPM images were
taken with a field of view of 735 μm. Z-series with 10 μm
step-size were taken and stitched together to image the
entire sample. Z-series (stacks of images) were taken in
depth until the image was no longer interpretable (ap-
proximately 200 μm). TPM had a resolution of 1.44 μm/
pixel. Additionally, single-photon wide-field fluorescence
images were recorded using an excitation source emitting
at 420 + − 20 nm and an emission filter of 690 + − 20 nm
to demonstrate hemosiderin detection with standard
fluorescence imaging as seen in increased pixel intensity.
This method is less expensive than TPM and therefore
more translatable to a clinical device.
Histologic processing
The slides underwent histologic processing. Slides were
taken every 40 μm for the first 400 μma n de v e r y1 0 0μm
subsequently. Paraffin slides were stained with Hematoxylin
and Eosin. For the histologic evaluation, each sample was
categorized for the presence of the three histologic markers
for endometriosis: glands (columnar endothelial cells),
stroma, and hemosiderin. The histologic diagnosis was used
as the gold standard aga inst which the surgeons ’ and im-
aging systems’ findings were compared. Due to the exact-
ness of the match from the use of agar, the optical
properties of specific markers were obtained. Unique
features in the images were identified as matching the
histologic markers.
Statistical analyses
Sensitivity, specificity and negative and positive predict-
ive values for the accuracy of both the imaging systems
and the surgeons ’ impressions were calculated. Sensitiv-
ity was calculated by taking the number of true positives
(histologically confirmed endometriosis) and dividing by
the sum of the number of true positives and false nega-
tives (histologically confirmed endometriosis that was
not detected by the surgeon or imaging systems). Speci-
ficity was calculated by taking the number of true nega-
tives (histology confirmed to lack endometriosis) and
dividing by the sum of the number of true negatives and
false positives (histology confirmed to lack endometriosis
but identified as disease positive by the surgeon or im-
aging system). Positive predictive value was calculated by
taking the number of true positives and dividing by the
sum of true positives and false positives. Negative pre-
dictive value was calculated by taking the number of true
negatives and dividing by the sum of true negatives and
false negatives.
Results
OCT was used to identify fluid filled glands and two-pho-
ton microscopy (TPM) to detect the endogenous fluores-
cence of tissue without exogenous labels, specifically
hemosiderin. Results show that glands are visible via OCT
imaging (Fig. 1a) and hemosiderin has endogenous fluor-
escence that is present both in multi-photon (Fig. 1b) and
single-photon fluorescence imaging (Fig. 1c).
Clinical impression
This study enrolled 41 women. Based on the clinical
diagnosis of the physician, 27 women had endometriosis
and 14 did not. These 14 women were determined to
have no endometriosis lesions by the surgeon and no bi-
opsies were obtained for ethical reasons. The results out-
lined below focus on the remaining 27 subjects. Of these
27 subjects, 18 had advanced optical imaging performed
with OCT and TPM.
Histology
For the set of 27 subjects the surgeon ’s diagnosis of
120 biopsies was compared to the histologic gold
standard. The surgeon diagnosed 65 of these as defin-
ite endometriosis, 31 as maybe for endometriosis, and
24 as negative for endometriosis. Fifty-seven biopsies
were interpreted blindly by the gynecologic patholo-
gist to have endometriosis; 44 of the definite biopsies,
12 of the maybe biopsies and one of the negative bi-
opsies. The accuracy of the surgeons ’ clinical impres-
sion is summarized in Table 1.
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 3 of 11
Hemosiderin was a prevalent marker seen in 49 of 57
(86%) endometriosis samples proven positive by histology.
Glands were found in pathology in 28 of the 57 (49%) of
endometriosis positive samples. The final marker, stroma,
was found in 41 of the 57 samples (72%), although not an
optical target for advanced imaging.
Advanced optical imaging
It was possible to obtain full optical imaging sets for 18 of
the 27 patients outlined above. This resulted in 113 optical
imaging sets of co-registered OCT, TPM and histology from
86 biopsy samples. Results are shown in Tables1, 2,a n d3.
TPM confirmed the presence of hemosiderin with a
visible endogenous fluorescence signal in all 36 of those
samples where it was confirmed by histology and did
not have a single false positive in the other 50 samples
(Fig. 2). Glands were visible in OCT for 17 of the 21
samples for which they were seen in histology. OCT for
glands lacks a PPV and specificity due to lack of a true
false positive. This is due to OCT ’s optical marker for
glands being able to be co-registered with its histologic
counterpart, but it is difficult to examine the OCT image
and read a false positive that corresponds to histology.
Single photon results
To allow for clinical translation of hemosiderin as an op-
tical target, 4 subjects were further examined by an add-
itional imaging technique, single-photon fluorescence.
Fig. 1 Imaging Results. 1 a Sample 29-1a, the top image is the OCT en face image, the bottom image is the histology, the identified gland is
boxed in red, scale bar is 1 mm 1 b Sample 20–6, TPM image on top, histology on bottom, hemosiderin is circled in red and appears as brown in
the histology due to H&E stain, the TPM image is colored based on emission channel, the red represents 690 nm (hemosideran), blue is 500 nm
(collagen), scale bar is 1 mm 1 c: Sample 34 –1 The image on the top left is the single photon microscopy/ wide field fluorescence, very bright
spots match with TPM and histology as hemosiderin, the image on the top right is the corresponding TPM image location colored as stated in
1b these are scale to 470 um × 470 um, the bottom right is the full TPM image and bottom left is the corresponding histology, the red box
represents the area of the top images, scale bar is 1 mm
Table 1 Statistical results of surgical impression/ advance optical imaging vs histologic gold standard
PPV NPV SENS. SPEC.
Surgical Impression (27 subjects) 68 96 98 53
OCT-TPM Combined (18 subjects with advanced imaging) 100 93 93 100
TPM for Hemosiderin (113 optical imaging sets) 100 100 100 100
OCT for Glands (113 optical imaging sets) 96 82
PPV is positive predictive value, NPV is negative predictive value, SENS is sensitivity, SPEC is specificity
Surgical Impression is based on the surgical diagnosis of all samples taken from 27 subjects against histological diagnosis. OCT-TPM combined is the optical
markers from both imaging type predication of endometriosis against histological diagnosis. OCT-TPM was only available in 18 of 27 patients with endometriosis.
One hundred thirteen optical imaging sets were available from these 18 patients for OCT-TPM. OCT for glands lacks a PPV and specificity due to lack of a true
false positive. TPM for hemosiderin and OCT for glands is specifically the identification of the marker in the imaging data against histologic confirmation of
the marker
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 4 of 11
This evaluation examined 6 biopsies from these 4 pa-
tients identified by TPM to be hemosiderin positive, and
2 controls shown by TPM to be hemosiderin negative.
Single-photon was able to detect hemosiderin similar to
TPM, in the exact areas and identical pattern as TPM,
and was confirmed by histology (Fig. 1c).
Discussion
Our results demonstrate the benefit of adding advanced
optical imaging in the diagnosis of endometriosis. The
clinician made a correct clinical diagnosis in 67% of
histologic positive samples. Endometrial glands are help-
ful if present but were only found in histology in 28 of
the 57 endometriosis positive samples or 49% of the
time. Glands were visible in OCT for 19 of the 23 im-
aging sets for which they were seen in histology. The sig-
nificant finding was the frequency that hemosiderin was
present. Hemosiderin was found in 86% percent of all
histologic samples, and correctly identified with TPM
100% of the time; as well as, in single photon fluores-
cence imaging, which will allow clinical translation of
hemosiderin identification to the operating room.
Specifically, these data demonstrate the need for a bet-
ter detection method than a surgeon ’s clinical diagnosis.
Of the 65 samples of endometriosis removed where the
gynecologic surgeon was certain that endometriosis was
present, the surgeon was incorrect 21 times, confirming
prior reports of the relatively poor visual diagnosis of
endometriosis lesions during laparoscopic surgery for
endometriosis. We had two experienced gynecologic sur-
geons at two institutions and generated 120 total tissue
samples for evaluation. Our data is comparable with
Results
from studies with larger cohorts, Mettler re-
ported a 53.8% positive rate in biopsies of suspected
endometriosis [ 11] and Stratton a 61% rate [ 12]. Steg-
mann reported in her 133 patient, 611 sample study, a
true positive rate of 65.0% rate which is very similar to
our 67% rate but she found a much higher false negative
rate of 12% compared to our 4% [ 4].
There are several implications of our results regarding
surgeons removing too much tissue in 1/3 of cases and
missing lesions that should be removed. If any endometri-
osis is being missed and left in the patient, the chances for
improving patient outcomes of pain reduction and pos-
sibly increased fertility, and preventing the high persist-
ence rates common in endometriosis, are diminished. The
low specificity and PPV reveals how much non-endomet-
riosis tissue the surgeons are removing during the proced-
ure and how much unproductive surgical time is added to
the procedure. The one false negative result reveals that
there is diseased tissue that is being left behind because
the physician could not determine that a negative biopsy
was actually endometriosis. This study also examined
“maybe” samples, where the surgical diagnosis was un-
clear. These samples proved to be positive for endometri-
osis 39% of the time. Our combined TPM-OCT imaging
accurately classified every “maybe” case. This shows the
additive value of an advanced optical imaging approach,
which would assist the surgeon in accurately identifying
endometriosis where it is unclear whether endometriosis
is present or not.
TPM-OCT detection overcomes many of the limita-
tions of other methods developed to improve detection.
Studies have shown that specific endometriosis lesions
Table 2 Clinical Impression vs. Histology Gold Standard
Physician
clinical
impression
at time of
surgery
Subjects
7 8 9 1 01 11 21 31 5 1 6 2 02 22 3 2 4 2 52 72 82 93 03 23 43 63 83 94 24 54 64 7
Yes No No No Yes Yes No No Yes Yes No No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
No No Yes Yes Yes No No Yes Yes No Yes Yes Yes Yes No Yes Yes No Yes Yes
Yes Yes No Yes Yes No Yes No No Yes
Yes Yes No Yes No No
Yes Yes
Yes Yes
Maybe No Yes No Yes No Yes No No No No No No Yes Yes Yes Yes No Yes Yes Yes
No No Yes Yes No No No No No
No
No
No No No No Yes No No No No No No No No No No No No No No No No No No No No
Histological diagnosis
Blank = no sample obtained; each yes or no entry represents each individual sample of tissue biopsied; columns represent the histological diagnosis per the
reading of an expert Ob/Gyn pathologist; rows represent Ob/Gyn physician/surgeon clinical impression of the sample at the time of surgery
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 5 of 11
Table 3 Full Imaging Results
Subject Sample Subsec. CI Type Path. TPM-hemo OCT-glands
20 1 Yes Red H Yes
2 Yes Red H Yes
3 b Yes Red H,S Yes
4 b Yes Dark chocolate cyst H Yes
c Yes S No
5 a Yes Cyst H Yes
c Yes H,S Yes
d Yes H Yes
6 Yes Endometroma H Yes
22 1 a Yes Red+black – No
b Yes G,S No No
2 No Control – No
23 1 No Control – No
2 a Yes Red – No
3 a Yes red – No
b Yes – No
4 b Yes Black+white – No
24 1 a Yes Red – No
b Yes – No
2 Yes Black + white – No
3 No Control – No
25 1 a Yes Red S No
b Yes G,S No No
2 a Yes Black H,S Yes
b Yes H,S Yes
3 No Control – No
27 1 a Yes Red + black G,S No Yes
b Yes – No
2 Maybe White – No
3 No Control – No
4 a Yes Endometroma H Yes
b Yes H,S Yes
c Yes H Yes
5 Yes Black H Yes
6 Yes Red – No
28 1 Maybe White – No
2 a Yes Red H Yes
b Yes – No
c Yes H Yes
3 a Yes Red – No
b Yes – No
c Yes – No
4 No Control – No
29 1 a Yes Red G,H,S Yes Yes
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 6 of 11
Table 3 Full Imaging Results (Continued)
Subject Sample Subsec. CI Type Path. TPM-hemo OCT-glands
b Yes G,H,S Yes Yes
2 No Control – No
3 a Yes Red + black – No
b Yes G,H,S Yes Yes
4 Maybe Black – No
30 1 Yes Black H Yes
2 maybe White – No
3 a Yes Black H Yes
b Yes H Yes
4 Yes E, H Yes
5 a Yes H Yes
b Yes E,H Yes
7 No Control – No
32 1 Yes Red G,H,S Yes Yes
2 Yes Red G,H,S Yes Yes
3 Maybe Black E,H,S Yes
4 Maybe White G,H,S Yes Yes
5 No Control – No
34 1 Yes Black G,H,S Yes Yes
2 a Yes Red G,H,S Yes Yes
b Yes G,S No Yes
3 Maybe White H, S Yes
4 No Control – No
36 1 No Control – No
2 a Maybe Black H,S Yes
b Maybe – No
3 a Yes Red G,S No No
b Yes E,H,S Yes
4 Maybe Black + white H,S Yes
38 1 Yes Red G,S No Yes
2 Yes Red – No
3 Yes Black – No
4 Maybe White H Yes
5 No Control – No
6 Maybe White – No
39 1 Yes S No
2 Maybe – No
3 No Control – No
4 Maybe – No
5 a Yes H,S Yes
b Yes H Yes
c Yes – No
d Yes – No
42 1 No – No
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 7 of 11
are not easily identified laparoscopically or by CT, MRI
or ultrasound, unless there are large masses [ 13, 14].
This limits the surgical relevance of these technologies.
Limited success in detecting endometriosis has been
seen in comparing blue light adsorption of surrounding
tissue with endometriosis, which does not absorb blue
light. However blue light techniques do not provide a
mechanistic link with a histological gold standard, such
as stroma, glands, or hemosiderin and thus its value to
clinicians has been questioned and not adopted [ 15].
Other imaging methods use exogenous materials such as
the photo-sensitizer 5-ALA, Firefly ™ fluorescence im-
aging (ICG), and blue dye [ 15, 16]. All have had limited
success in identifying markers associated with endomet-
riosis, including angiogenesis and enhanced vascularity,
changes in the peritoneal tissue surrounding endometri-
osis, and continued epithelial bleeding. However, the in-
direct nature of these approaches has also limited
widespread adoption. Thus, newer techniques are
needed that are both diagnostic based on the true histo-
logic pathology of endometriosis, and marker free as will
be shown in a more detailed discussion of these compet-
ing optical techniques below.
Demco and co-workers published [ 17] an endometri-
osis blue light reflectance/absorption imaging method.
The authors hypothesized that lesions not visible under
white light were visible under blue light reflectance be-
cause porphyrin molecules in endometriosis absorb blue
light. This is not an auto fluorescence technique as it
looks at absorption of blue light and not emission from
excitation. Our TPM detection of hemosiderin looks at
the emission signal from excited hemosiderin. Demco ’s
Method
has not been rigorously tested since there are
no sensitivity and specificity results published [ 17]. Fur-
thermore, the spectral analysis of Demco ’s technique will
not reveal endometriosis below the surface such as
Table 3 Full Imaging Results (Continued)
Subject Sample Subsec. CI Type Path. TPM-hemo OCT-glands
2 Maybe – No
3 Yes – No
4 a Maybe G, H, S Yes Yes
b Maybe – No
5 Yes G, S No Yes
6 Yes G, H, S Yes Yes
7 Yes G, S No Yes
45 1 Maybe – No
2 Maybe H, S Yes
3 Yes G, S No Yes
4 Yes – No
5 Yes – No
6N o – No
46 1 Yes H Yes
2 a Yes – No
b Yes – No
3 a Yes G, H, S Yes Yes
4N o – No
47 1 Maybe G, S No Yes
2 Yes G, H, S Yes No
3 Yes G, H, S Yes Yes
5 Yes – No
6 Maybe – No
7 Yes H, S Yes
8N o – No
Columns: Subject: Subject number, Sample: sample number from that subject, Subsec.: is the subsection if the sample had to be divided to be fully imaged due
to sample size, CI (Clinical Impression): yes is positive for endo, maybe is possible endometriosis normally at the surgeon ’s discretion for removal, no is control
tissue, Type: the surgeon reading of type of endometriosis, Path: Pathology reading - G is gland, fluid filled sac, E is endothelial cells with no fluid filled sac, H is
hemosiderin, and S is stroma. TPM-hemo: yes is a present optical marker for hemosiderin, no is no optical marker as determined from the TPM image, OCT-glands:
yes if the glands is seen and co-registered between the OCT image and histology, no if no such co-registration was possible
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 8 of 11
unrecognized intra-ovarian endometriosis, since it relies
on surface reflection. Our technique depends on en-
dogenous fluorescence emission and will identify lesions
below the surface since we are detecting emitted pho-
tons which can pass through layers of tissue.
Buchweitz et al. developed an auto-fluorescence tech-
nique to detect differences between normal tissue and
endometriosis [ 18]. They hypothesized that well known
auto-fluorescence of NADH, and ATP has a different
fluorescence pattern in endometriosis tissue compared to
normal tissue. The reasoning behind their approach is that
endometriosis has a different metabolic activity than sur-
rounding tissues, and different metabolic rates can be re-
vealed in auto-fluorescence imaging due to the different
endogenous fluorescence ’s of NAD+ and NADH, and
ATP and ADP. With Buchweitz ’s method endometriosis
was identified by decreased fluorescence compared to sur-
rounding tissue, looking for a reduction in auto- fluores-
cence as the marker for endometriosis. The emission
wavelengths of those molecules are shorter than the
emission wavelength of the porphyrin in hemosiderin,
which might explain why they did not see the enhanced
fluorescence from hemosiderin as we did [ 7, 8]. Looking
for a reduction in fluorescence is flawed in that this ap-
proach detects a negative image or the absence of a signal.
Another approach utilizes exogenous fluorescence
with application of δ-Aminolevulinic acid (5-ALA)
which was originally developed for photodynamic ther-
apy in cancer. It has been applied for the detection and
treatment of endometriosis. 5-ALA follows the heme
pathway and goes into proto-porphyrin IX. They thus
are using a similar marker with a similar excitation/
emission as our TPM detection of hemosiderin. How-
ever, 5-ALA has several drawbacks. First as an exogen-
ous material it requires a 24-h hospital stay due to its
nature as a photo-sensitizer [ 19]. 5-ALA is a precursor
of protoporphyrin IX (PPIX) in the heme pathway. How-
ever, PPIX is not in hemosiderin [ 20], thus 5-ALA tar-
gets the increased degree of angiogenesis and vascular
endothelial growth factor expression consistent with
Fig. 2 Endogenous Fluorescence of Hemosiderin to Improve Clinical Detection of Endometriosis. Two-Photon Microscopy (TPM), Histology
positive/negative for endometriosis based on pathologist ’s determination of glands, stroma, and/or hemosiderin
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 9 of 11
endometriosis. Our techniques present better diagnostic
options because they are label free and target physical
components of endometriosis rather than metabolic
pathways expressed by endometriosis.
Another competing technology is Firefly ™ fluorescence
imaging which uses indocyanine green (ICG) as an ex-
ogenous marker which identifies blood vessels. It has
been used in endometriosis detection as it can identify
neovascularization associated with endometriosis [ 21].
Beyond being an exogenous marker, it has several other
shortcomings in detection. Specifically, as not all endo-
metriosis presents as ‘red’ vascularized endometriosis, its
ability to accurately detect black and white endometri-
osis is poor and other methods that do not rely on
angiogenesis are needed [ 22].
A criticism of using TPM to identify hemosiderin is
the high cost of the two photon instrument to be used
in the operating room. As a result, we evaluated whether
the low cost option of single photon fluorescence could
be implemented to also identify hemosiderin in endo-
metriosis and found similar accuracy. Clinical translation
of these results to a cost-effective device has been built,
programed, and its camera and electronic components
have been tested. We are currently repeating our studies
using this single photon device which can easily be
inserted into a laparoscope for clinical translation at low
cost. The clinical application of a laparoscope using the
specific fluoroscopy detailed in this paper could provide
surgeons with the ability to more accurately detect and
removed endometriosis.
There are some limitations to our study. Glands and
hemosiderin are not present in every endometriosis le-
sion. Even a TPM imaging system would miss some le-
sions due to their lack of hemosiderin. However it does
present an improved option compared to white light, as
TPM has better statistical accuracy. Only 18 of 27 pa-
tients identified by the surgeon as having endometriosis
had OCT and TPM imaging performed. The clinical
study was started before we fully solved the difficult
technical issue of co-registration of histology and the re-
gion of tissue optically imaged. Embedding the tissue in
a cube of agar allowed us to maintain tissue orientation
and thus co-registration. Finally, our studies only en-
rolled a limited number of subjects. Our findings will be
expanded on a larger number of patients focusing on
single photon in the future. A prospective randomized
trial in vivo will have to be completed to ultimately
prove the relevance of our findings.
Conclusions
In summary, focusing on hemosiderin with single pho-
ton fluorescence should yield a surgical device capable
of improving the detection of endometriosis and allow-
ing clinical translation in a cost effective approach. Both
glands seen by OCT and hemosiderin seen by TPM im-
prove a surgeon ’s ability to correctly diagnose endomet-
riosis. This is demonstrated in improved negative and
positive predictive values as compared to the clinical im-
pression of the surgeon. The improved diagnosis by
OCT-TPM may result in fewer false positive results and
increased disease tissue removed, although this will have
to be tested in a prospective clinical trial.
Abbreviations
5-ALA: δ-Aminolevulinic acid; ICG: Indocyanine green; NPV: Negative
predictive values; OCT: Optical coherence tomography; PPIX: Protoporphyrin
IX; PPV: and positive; TPM: Two photon microscopy
Acknowledgements
Not applicable.
Funding
Clayton Foundation for Biomedical Research, Houston, Texas, USA.
The funders had no role in the initiation or design of the study, collection of
samples, analysis, interpretation of data, writing of the paper, or the
submission for publication.
Availability of data and materials
The datasets used and/or analysed during the current study not included in
this published article are available from the corresponding author on
reasonable request.
Authors’ contributions
AGC planned the study, performed all experiments, collected the data,
analyzed the results, and wrote the manuscript. ADE helped conduct
imaging, devised image processing methods, and contributed to study
design. RDR, BC, and JEM preformed surgeries and provided all biopsies. TH
and XY processed imaging data and assisted in image co-registration. SJ
contributed to designing image processes and data acquisition. PTV was the
expert pathologist and analyzed all histology slides. TEM, RDR, and MDF con-
tributed to study design. ADE, JEM, RDR, TH, TE M, and MDF all assisted in re-
vising the manuscript. All authors read and approved the final version.
Ethics approval and consent to participate
IRB approval was received and maintained at both sites. Informed consent
was received from every patient.
Consent for publication
Not applicable.
Competing interests
The following authors have potential conflicts of interest and have
completed International Committee of Medical Journal Editors (ICMJE) forms
per their guidelines.
AGC reports personal fees from Clayton Foundation for Research, during the
conduct of the study; In addition, AGC has a patent International Patent
Application No. PCT/US2018/032877 based on U.S. Serial No. 62/506,910;
Entitled “Systems and Methods for Endometrial Tissue Identification ” pending
to Clayton Foundation for Research.
ADE reports personal fees from Clayton Foundation for Research, during the
conduct of the study; In addition, ADE has a patent International Patent
Application No. PCT/US2018/032877 based on U.S. Serial No. 62/506,910;
Entitled “Systems and Methods for Endometrial Tissue Identification ” pending
to Clayton Foundation for Research.
TH reports personal fees from Clayton Foundation for Medical Research,
during the conduct of the study.
BC reports personal fees from Clayton Foundation for Research, during the
conduct of the study.
RDR reports grants from AbbVie, outside the submitted work.
TEM reports personal fees from Clayton Foundation for Research, during the
conduct of the study; In addition, TEM has a patent International Patent
Application No. PCT/US2018/032877 based on U.S. Serial No. 62/506,910;
Cabe et al. Translational Medicine Communications (2019) 4:9 Page 10 of 11
Entitled “Systems and Methods for Endometrial Tissue Identification ” pending
to Clayton Foundation for Research.
MDF reports personal fees from Clayton Foundation for Research, during the
conduct of the study; In addition, MDF has a patent International Patent
Application No. PCT/US2018/032877 based on U.S. Serial No. 62/506,910;
Entitled “Systems and Methods for Endometrial Tissue Identification ” pending
to Clayton Foundation for Research.
All other authors declare that they have no competing interests.
Publisher’sN o t e
Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
Author details
1Departments of Cardiology, University of Texas Health Science Center at San
Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA. 2Departments
of Obstetrics and Gynecology, University of Texas Health Science Center at
San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA. 3School of
Biomedical Engineering, Cockrell School of Engineering, The University of
Texas at Austin, 107 W. Dean Keeton, BME Building, 1 University Station,
C0800, Austin, TX 78712, USA. 4Departments of Pathology, University of Texas
Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio,
TX 78229, USA. 5Seven Oaks Women ’s Center, San Antonio, Seven Oaks
Women’s Center, 7711 Louis Pasteur, Suite 200, San Antonio, TX 78229, USA.
6Department of Medicine, University of Texas Health Science Center, 7703
Floyd Curl Drive, San Antonio, TX 78229, USA.
Received: 14 February 2019 Accepted: 30 April 2019
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