Abstract
Background: Endometriosis is a common gynecologic disorder characterized by the implantation of the
endometrial tissue ectopically outside the endometrial cavity. It affects about 10% of females at the childbearing
period and is estimated to be present up to 20 –50% in women complaining of infertility. While laparoscopy is
considered the mainstay for diagnosis, magnetic resonance imaging (MRI) is recognized as a useful tool for
definitive diagnosis, pre-surgical planning, and determining whether the patient will require multi-specialty
involvement. The aim of this study is to evaluate the performance of MRI with the addition of diffusion-weighted
imaging (DWI) and T2 star (T2*) to conventional MRI, for the accurate assessment of ectopic endometrium.
Results
Endometriotic lesions that showed diffusion restriction on DWI were 80.7%, and 96.1% of the
endometriotic lesions had signal voids on the T2*W sequence, whereas only 65.4% of the lesions had typical signal
intensities on T1WI and T2WI. Diagnostic performance of the MRI examination was improved by the use of the
diffusion sequence and better improved by the T2* sequence, compared to the conventional MR protocol
sensitivity (SE) = 96.12% and specificity (SP) = 85.7% in T2*-weighted images, SE = 80.7% and SP = 71.4% in DWI,
and SE = 65.4% and SP = 71.4% in conventional MRI. P value for conventional MRI was 0.1, which is of no statistical
significance ( p < 0.05). P value for DWI was 0.016, which is statistically significant ( p < 0.05). P value for T2*WI was
0.001, which is more statistically significant ( p < 0.05) and could be adequately correlated with laparoscopy.
Conclusion
DWI and T2* significantly increase MRI diagnostic accuracy by allowing the detection of the
hemorrhagic character of the endometriotic lesions. Studies with a large sample size are needed to confirm that
they can replace invasive laparoscopy for the diagnosis of endometriosis.
Keywords
Endometriosis, MRI, DWI, T2*WI
Background
Endometriosis is a common gynecologic disorder
characterized by the implantation of endometrial tissue
ectopically outside the endometrial cavity. The prevalence
is approximately 10% of females at the childbearing period
and is estimated to be present up to 20 –50% in women
complaining of infertility [ 1]. It is known to cause various
symptoms, including chronic pelvic pain, dysmenorrhea,
dyspareunia, and infertility [ 2]. Ultrasound (US) is usually
the first modality used in the diagnosis of endometriotic
lesions; however, MRI has many advantages to US with
more reproducible image acquisition over a larger field of
view allowing the detection of disease outside the pelvis.
Information collected from multiple sequences leads to
better characterization of ovarian lesions [3].
While laparoscopy is considered the mainstay for diag-
nosis, MRI is recognized as a useful tool for definitive
diagnosis, pre-surgical planning, and determining whether
the patient will require multi-specialty involvement [4].
© The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License,
which permits use, sharing, adaptation, 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://creativecommons.org/licenses/by/4.0/.
* Correspondence:
[email protected]
1Diagnostic and Intervention Radiology Department, Cairo University
Hospitals, Kasr Al-Ainy, El-Manial, Cairo 11956, Egypt
2Diagnostic and Interventional Radiology Department (Women ’s Imaging
Unit), Kasr ElAiny Hospital, Cairo University, Giza, Egypt
Egyptian Journal of Radiology
and Nuclear Medicine
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137
https://doi.org/10.1186/s43055-021-00513-1
Though there is a wide range of imaging appearances
of endometriosis, yet their hemorrhagic elements are
its main characterizing imaging feature aiding in its
diagnosis [ 5].
Endometriomas contain various stages of hemorrhage,
thus produces a wide range of signal behaviors; the
shading sign can vary from faint shading to complete
signal voiding. Therefore, it is assumed that the degree
or volume of shading would differ between endometrio-
mas and hemorrhagic cysts [ 6].
Diffusion-weighted imaging (DWI) contributes struc-
tural and functional information about the biological
tissues, without using ionizing radiation or intravenous
contrast. Endometriotic implants may show diffusion
restriction [ 7]. A role for DWI is distinguished in the
differentiation between endometriomas and hemorrhagic
cysts with significantly lower apparent diffusion coeffi-
cient (ADC) values in endometriomas when compared
to hemorrhagic ovarian cysts at all b values [ 8].
A characteristic feature of endometriosis is cyclic
hemorrhage caused by ectopic endometrium resulting in
deposition of concentrated hemosiderin-laden within the
cyst. Identification of this hemosiderin deposit by MRI
helps in the diagnosis of endometriomas [ 9].
T2*-weighted images show magnetic susceptibility effects
as signal voids. It is sensitive t o hemosiderin; consequently,
it aids in the detection of old hemorrhagic content in endo-
metriotic implants and endometriomas [2].
The purpose of this study is to evaluate the perform-
ance of MRI with the addition of diffusion-weighted im-
aging and T2* to conventional MRI, for the accurate
assessment of endometriosis.
Methods
Patients
This cross-sectional prospective study was done during
the diagnostic step or the pre-operative assessment of
endometriosis, between August 2019 and August 2020.
Though MRI was performed on 120 patients, yet our
quantitative studies included only the surgically/laparo-
scopically confirmed lesions which were 60 patients with
66 lesions. Their ages ranged from 17 to 44 years. The
mean patient age was 31.4 ± 8.13 years.
Inclusion criteria
The following are the inclusion criteria:
– Cystic adnexal/pelvic masses with typical
endometriosis signal in ultrasound
– Infertile females seeking fertility, who were referred
from the obstetrics and gynecology department with
ultrasound showing suspicion of endometriosis
– Women complaining of chronic pelvic pain,
especially if it was cyclic
Exclusion criteria
The following are the exclusion criteria:
– Patients with complex ovarian masses, those
containing solid lesions.
– We also excluded patients who have a
contraindication to MRI examination, such as those
having aneurysmal clips and pacemakers.
Magnetic resonance imaging
The MRI was conducted with a 1.5-T magnet device
(Gyroscan INTERA and ACHIEVA, Philips Medical
Systems, the Netherland), using a pelvic phased-array
coil with eight channels.
MRI device: the protocol included T1W, with and
without fat saturation sequences; T2W; DWI; and T2*-
weighted imaging. MRI results were correlated with
histopathological findings in patients who underwent
laparoscopy, laparotomy, or open surgical treatment.
Imaging was performed regardless of the stage of the
menstrual cycle.
Patient preparation
The following are the patient preparations:
/C15Fasting (4 –6 h) before the examination.
/C15Bowel enema administered approximately 2 –3h
before the examination, with 2 doses of an oral
laxative (5 mg bisacodyl per dose) the day before
imaging.
/C15Follow a low-residue diet on the day before and the
day of the examination.
/C15Anti-peristaltic agent is administered intravenously
before the examination.
/C15Ten milligrams of butylescopolamine (Buscopan;
Boehringer Ingelheim, Ingelheim, Germany).
/C15Moderate bladder filling, by not urinating 1 h before
the study.
/C15An overfilled bladder may produce movement
artifacts and alter the anatomy of the pelvis.
Patient position
Patient was imaged in the supine position.
The protocol used in our study is summarized in
Table 1.
Image analysis
MR image interpretation was performed by 2 expert ra-
diologists with more than 10 years of experience in MRI
who were blinded about each other ’s imaging findings,
and they were not aware about the pathology.
In our MRI interpretation, following Foti et al. [ 2], the
criteria considered for the prediction of endometriosis
were as follows:
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 2 of 9
(1) High signal on T1-weighted images with and with-
out fat suppression
(2) Intermediate to low T2WI signal with shading
(3) Restriction at diffusion
(4) Punctate or curvilinear signal voids at T2*WI.
Our data analysis focused upon DWI SI and measured
ADC values, as well as T2* signal for the cystic adnexal
masses.
Diffusion-weighted images
DW images were observed for the presence of a persist-
ent high signal (restricted diffusion) with an increasing b
value in correlation with the hemorrhagic components
of the included lesions. Matched ADC maps were done
using a Phillips Advantage windows workstation with
functional tool software. We measured the ADC values
by manually applying region of interest (ROI) on the
restricted portions of the lesions.
ROI was specifically placed at areas of bright SI on
DW images. For lesions with a hemorrhagic component,
a large ROI was applied to cover as much as possible of
the pathology, in case of lesions with multiple small
scattered hemorrhages; multiple ROIs were applied to
the areas of concern, and an average was obtained.
Surgical findings
Surgical findings were considered as the gold standard.
The possible pathology of the endometriosis was sug-
gested by conventional MR imaging, diffusion-weighted
imaging, and T2*-weighted imaging and had been corre-
lated with surgical pathology specimen in patients who
have undergone laparoscopy, laparotomy, or open surgi-
cal treatment.
Statistical analysis
We used software (SPSS for Windows, version 10.0.1,
1999; SPSS, Chicago, Ill) for statistical analysis.
Qualitative variables are described as frequencies and
percentages. To assess the diagnostic performance, the
sensitivity, specificity, positive predictive value, and negative
predictive values were estimated from the associated con-
tingency table. Diagnostic performance values of MRI were
only evaluated for the patients who underwent laparoscopy,
laparotomy, or open surgery.
MRI signal of endometriosis lesions in T1-weighted
images with and without fat suppression, T2-weighted
images, diffusion-weighted images, and in T2* sequence
were compared using percentages, by analyzing the
endometriotic lesions found in operated patients.
A P value less than 0.05 was considered statistically
significant in all analyses.
Results
Though the study included about one hundred and
twenty cases, yet histopathologic examination was the
only confirmatory method for the lesions; thus, our
quantitative studies included only the surgically/laparo-
scopically confirmed lesions. MR image interpretation
was performed by 2 expert radiologists with more than
10 years of experience. The inter-observer reliability
between the two radiologists was calculated through the
Cohn Kappa test which was 0.97, indicating perfect
agreement.
Sixty-six pathologically proven lesions in sixty patients
were identified as follows:
– Thirty-four ovarian endometriomas
– Eight abdominal wall cesarean scar endometriosis
– Two bladder endometriosis
– Eight adenomyosis
– Fourteen non-endometriotic/hemorrhagic cysts
Surgical/laparoscopic exploration and resection were
performed in 60 patients (30 did laparoscopy, 28 had
open surgeries, and 2 had undergone cystoscopy) with
66 lesions, diagnosed as follows: 34 endometriomas in
28 patients (6 bilateral (Fig. 1) and 22 unilateral), 8
adenomyosis, 8 abdominal scar endometriosis, 2 bladder
endometriosis, and 14 hemorrhagic cysts.
MRI findings of the surgically proven endometrial
lesions are shown in Table 2.
Table 1 MRI protocol performed in the current study
Sequence TR (ms) TE (ms) FOV (mm) Matrix Slice thickness (mm) Flip angle
T2 sagittal 3000 90 290 × 290 208 × 205 4 90
T2 axial 3700 100 288 × 350 292 × 180 5 90
T1 axial 500 10 260 × 216 263 × 171 5 90
T1 FS axial 530 8 240 × 240 240 × 190 5 90
T2 coronal 3000 90 300 × 300 272 × 200 4.5 90
DWI (b0, 500, 1000) 2000 77 240 × 240 124 × 100 5 90
T2* 500 4.6 240 × 240 256 × 256 4 20
Slice gap is one mm and flip angle 90° in all sequences, except T2*, 20°
Abbreviations: FOV field of view, FS fat suppression, DWI diffusion-weighted imaging
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 3 of 9
Thus, we noted that among the surgically confirmed
cases of endometriosis, 32 out 52 cases showed typical
appearance on conventional MRI, 42 out of 52 cases
showed diffusion restriction, and 50 out 52 cases showed
signal voids at T2 star-weighted MRI images. MRI ana-
lysis with the aid of diffusion sequence showed excellent
outcomes with the complete pathology specimen in 42
lesions (26 endometriomas, 6 adenomyosis, 8 abdominal
scar endometriosis, and 2 bladder wall endometriomas):
SE = 80.7% ( n = 42/52) true positives and 10 false
negatives.
The mean apparent diffusion coefficient (ADC) value
of the endometriotic lesions and adenomyosis was 1.03
with a minimum of 0.25, a maximum of 2.3, and 0.51
standard deviation. On the other hand, the mean ADC
values of functional hemorrhagic cysts were significantly
lower (0.71 ± 0.29 × 10 − 3m m2/s).
With the addition of T2*-weighted sequence, the results
improved where 50 out of 52 lesions were true positive
(showing signal voids) (32 ovarian endometrioma (Fig. 2),
8 adenomyosis (Fig. 3), 8 CS scar endometriosis (Fig. 4),
and 2 bladder wall endometriosis (Fig. 5)): SE = 96.1%
(n = 50/52) true positives and 2 false negatives.
We carried out a comparative study for the diagnostic
performance of the conventional MRI pelvic examin-
ation in addition to each of DWI and T2* in the assess-
ment of the pathologically diagnosed cases (Table 3).
P value is calculated by the Fisher exact test. P value
for conventional MRI was 0.1, which is of no statistical
significance ( p < 0.05). P value of DWI was 0.016, which
is statistically significant ( p < 0.05). P value for T2*WI
was 0.001, which is more statistically significant and
could be adequately correlated with laparoscopy ( p <0 . 0 5 )
(Fig. 6).
Discussion
Endometriosis is a benign and chronic gynecologic
disorder, where there is ectopic implantation of endo-
metrial glands and stroma outside the uterine cavity.
It has been shown to cause various symptoms, includ-
ing chronic pelvic pain, dysmenorrhea, dyspareunia,
and/or infertility [ 2].
Fig. 1 (a) TV-US showing bilateral ovarian cysts; the right is suggestive of endometrioma (ground glass), and the left is suggestive of hemorrhagic
cyst (fishnet appearance). ( b) Axial MRI T1WI, showing bilateral ovarian cysts eliciting bright T1. Not suppressed with fat suppression ( c). Showing
subtle T2 shading ( d). With diffusion restriction ( e, f). Right curvilinear and left punctate signal voids in T2* ( g). Histopathological diagnosis:
bilateral ovarian endometriosis
Table 2 MRI findings of surgically proven cases
Site High intensity on T1 weighted
and low/shading on T2
Restricted diffusion Signal void on T2* Surgical findings
Present Absent Present Absent Present Absent No.
Endometriomas 16 (47.05%) 18 (52.95%) 26 (76.47%) 8 (23.53%) 32 (94.11%) 2 (5.89%) 34
Abdominal scar 8 (100%) 0 (0%) 8 (100%) 0 (0%) 8 (100%) 0 (0%) 8
Bladder 2 (100%) 0 (0%) 2 (100%) 0 (0%) 2 (100%) 0 (0%) 2
Adenomyosis 6 (75%) 2 (25%) 6 (75%) 2 (25%) 8 (100%) 0 (0%) 8
Non-endometriomas 4 (28.57%) 10 (71.43%) 4 (28.57%) 10 (71.43%) 2 (14.28%) 12 (85.72%) 14
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 4 of 9
Endometriomas can occur unilaterally or bilaterally,
and approximately 28% of endometrioma patients have
bilateral endometriomas [ 10].
In our study, bilaterality was observed in 35% of endo-
metriomas. However, as mentioned by Lee et al. [ 6],
bilaterality cannot be used to reliably differentiate endo-
metriomas from other cystic lesions.
There is a range of imaging features in endometriosis,
but the hemorrhagic character of lesions markedly aids
in their characterization [ 5].
Shading sign in T2-weighted MRI images is typical of
endometriomas that helps differentiate it from other
hemorrhagic ovarian lesions. Menstrual bleeding over
time and long term produce high iron concentration,
protein, and methemoglobin with consequent T2 short-
ening [ 11]. Lee et al. [ 6] reported that the shading sign
had a sensitivity and specificity of 90 –98% for the diag-
nosis of endometriomas; however, his study included
more than 80% of the lesion endometriomas . Outwater
and Dunton [ 12] conducted a study, where the sensitiv-
ity and specificity of T2 shading were only 68% and 83%,
respectively. In our study, conventional MRI with high
T1-weighted images and shading sign in T2-weighted
images exhibited a sensitivity of 65.4% and a specificity
of 71.4%. We believe that the shading is not a reliable
MRI sign for differentiating endometriomas from
hemorrhagic cysts.
Blood or hemosiderin within endometriomas shortens
T1, causing a consequent reduction in ADC values; there-
fore, DWI may distinguish endometriomas from other
cystic lesions [ 13]. In our study, 42 out of 52 pathologic-
ally proven endometriotic lesions and 4 non-endometrial
hemorrhagic cysts showed restricted diffusion, with SE,
SP, PPV, and NPP of 80.7%, 71.4%, 91.3%, and 50%,
respectively. Thus, DWI has shown an increase in sensitiv-
ity, PPV, and NPV yet similar specificity, when compared
to conventional MRI. This is comparable to Abd El-
Dayem et al. ’s[ 14] study where 11 out of 14 cases were
restricted in DWI representing 78.57% sensitivity.
However, due to the presence of overlap between the
ADC values of endometriomas and hemorrhagic cysts,
the diagnosis should be based upon the combination of
clinical history and conventional MRI together with
DWI findings and should not be based on DWI alone.
In 2002, it was suggested by Moteki et al. [ 15] that
endometriomas had lower ADC values (0.91 ± 0.47 ×
10−3 mm2/s) than other pelvic cysts (2.82 ± 0.80 × 10 −3
mm2/s). Busard et al [ 16]. reported that ADC values of
endometriomas are 1.10 ± 0.38 × 10 −3 mm2/s), and Lee
et al. [6]. calculated ADC values for endometriomas to
Fig. 2 (a) TV-US showing left ovarian chocolate cyst. It elicits heterogenous signal with peripheral high signal on T1 ( b), that is not suppressed on
T1 fat suppression ( c), and no significant shading (not shown) nor significant diffusion restriction ( d, e) however punctate peripheral T2* signal
void (f). Histopathological diagnosis: left ovarian endometriosis
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 5 of 9
be 1.06 ± 0.38 × 10 −3 mm2. These studies ’ results are
comparable to our study, which had mean ADC values
for endometriomas of 1.03 ± 0.51 × 10 −3 mm2/s.
Methemoglobin and hemosiderin are especially well
visualized on T2*-weighted image that is a MR sequence
that is sensitive to blood by-products. The visualization of
signal voids is caused by the local heterogenicity of the
magnetic field, resulting from hemorrhagic products [5].
Takeuchi et al. [ 17]r e p o r t e dt h a tT 2 *i m p r o v e d
the characterization of endometrioma by detecting
Fig. 4 (a) US of the anterior abdominal wall showing a well-defined infiltrative lesion implicating the right rectus muscle, infiltrating both the
anterior and posterior rectus sheaths, and eliciting intermediate T1 SI ( b), with high T1FS ( c), intermediate T2 SI ( d). It shows focal areas of
diffusion restriction on DWIs ( e, f), and punctuate signal voids on T2*WI ( g)
Fig. 3 (a) Sagittal T2 MRI showing diffuse thickening and irregularity of the posterior junctional zone. The posterior fundal myometrium is heterogeneous
showing cystic changes bright in T1 and T2 (b, c). With diffusion restriction(d, e); T2* revealed signal void punctate foci (f), suggesting adenomyosis. N.B:
left adnexal cystic lesion showing facilitateddiffusion. Histopathological diagnosis: focal adenomyosis and left peritoneal inclusion cyst
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 6 of 9
signal void along the cyst wall as hemosiderin depos-
ition. Later in 2015, Takeuchi et al. [ 18]p r o v e dt h a t
signal voids as hemorrhagic components on T2*
were also observed in extra- ovarian endometriosis.
Moreover, Pin et al. [ 5] suggested that T2* might be
useful and added as a sequence for treatment planning of
endometriosis. Pin et al .[ 5] in their study stated that the
overall diagnostic performances of MRI with T2* were im-
proved regarding the evaluation of adnexal and deep infil-
trating endometriosis with an increase of the sensitivity
from 88.2 to 94.1% and specificity from 68.8 to 73.3%.
In our study, with the addition of T2*WI, 50 out of 52
endometriomas/adenomyosis showed signal voids. Thus,
the sensitivity improved from 65.4% by conventional im-
aging to 96.15% with the addition of T2*. Also, the spe-
cificity improved from 71.4% by conventional imaging to
85.7% with the addition of T2*.
So, in cases with doubtful ultrasound and conventional
MRI findings in confirming the diagnosis of endometri-
osis, DWI and T2* can represent an additional diagnos-
tic tool in order to differentiate endometriomas from
other cystic lesions.
Our study had few limitations. Although the study was
originally done on 120 cases, yet only 66 lesions were in-
cluded in the study as we considered the pathology is
our gold standard; so, a larger sample size is needed.
Susceptibility artifacts caused by intestinal gas may cam-
ouflage the detection of signal voids resulting from the
presence of blood by-products within especially in cases
of ultra-small and deep endometriotic foci. One of our
patients was excluded from the study due to susceptibil-
ity artifacts caused by colonic overdistension, which lim-
ited the visibility of the pelvis. Two lesions were re-
evaluated by two radiologists to sort out the discrepan-
cies resulting from susceptibility artifacts.
Conclusion
Endometriosis is the most common cause of chronic
pelvic pain in reproductive-age women. It affects ap-
proximately 10% of women at the childbearing period.
It is found in 20 –50% of women with infertility and
nearly 90% of women with chronic pelvic pain. It has a
significant impact on the quality of life of women. In
addition to the characteristic symptoms of dysmenorrhea,
Fig. 5 (a) Transabdominal US showing focal thickening of the dome of the urinary bladder, eliciting intermediate to high T1 ( b, c) and
intermediate T2 SI ( d). It shows diffusion restriction on DWIs ( e, f) and signal void on T2* WI ( g)
Table 3 Sensitivity, specificity, positive predictive value, negative predictive values of conventional MRI; DWI and signal void in T2*
images
Conventional MRI DWI with ADC maps Signal voids
Sensitivity (%) 65.4 80.7 96.15
Specificity (%) 71.4 71.4 85.7
PPV (%) 89.47 91.3 96.2
NPV (%) 35.7 50 85.7
P value 0.106 0.016 0.001
Accuracy (%) 66.7 78.8 93.9
PPV positive predictive value, NPV negative predictive value
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 7 of 9
non-cyclic pelvic pain, infertility, and others, it causes psy-
chological, marital, and social distress.
Our study was performed during the diagnostic step
or the pre-operative assessment of endometriosis. The
MRI was conducted with a 1.5-T MRI device; the
protocol included T2W and T1W, with and without fat
saturation sequences complemented with a DWI, ADC
map, and a T2*WI, and the diagnostic performance
values were evaluated. MRI results were correlated with
surgical findings in patients who underwent laparoscopy.
Endometriotic lesions had restricted diffusion on DWI
in 80.7%, and 96.1% of the endometriotic lesions had sig-
nal losses on the T2*W sequence, whereas only 65.4% of
the lesions had typical signal intensities on T1WI and
T2WI. Thus, the diagnostic performance of the MRI
examination was improved by the use of the diffusion
sequence and better improved by the T2* sequence,
compared to the conventional.
P value for conventional MRI was 0.1 which is not
considered statistically significant when associated with
laparoscopy (p < 0.05). P value for DWI was 0.016,
which is considered statistically significant when associ-
ated with laparoscopy (p < 0.05). P value for T2*WI was
0.001, which is considered statistically significant when
associated with laparoscopy (p < 0.05).
Diffusion-weighted imagining and T2* significantly in-
creases MRI diagnostic accuracy by allowing the detec-
tion of the hemorrhagic character of endometriotic
lesions. Studies with a large sample size are needed to
confirm that they can replace invasive laparoscopy for
the diagnosis of endometriosis.
We recommend the addition of diffusion-weighted im-
aging and T2*-weighted imaging to all cases of suspected
endometriosis.
Abbreviations
MRI: Magnetic resonance imaging; T2*: T2 star; US: Ultrasound;
DWI: Diffusion-weighted imaging; SE: Sensitivity; SP: Specificity; FOV: Field of
view; FS: Fat suppression; ADC: Apparent diffusion coefficient; PPV: Positive
predictive value; NPV: Negative predictive value; ROI: Region of interest
Acknowledgements
No acknowledgments
Authors’ contributions
MR contributed to the study conception and design, collection of patients ’
data, and writing and editing of the manuscript. STH contributed to the
referral and follow-up of the cases. SMA helped in the collection and inter-
pretation of the data. EAA helped in the study deign and statistical analysis.
All authors read and approved the final manuscript.
Funding
No funding sources
Availability of data and materials
Available with the corresponding author upon request
Declarations
Ethics approval and consent to participate
Written informed consent was signed by all patients before the examination.
The study was approved by the ethics committee of the Faculty of Medicine,
Cairo University. Reference number is not applicable.
Fig. 6 (a) Transabdominal US showing bulky uterus with sunray appearance. Diffuse adenomyosis, evident by the markedly enlarged uterus, with
diffuse marked thickening of the heterogeneously hypointense junctional zone showing scattered tiny cystic changes within ( b, c). There is no
restricted diffusion on DWI ( d, e). However, the is peripheral curvilinear signal voids on T2*WI ( f)
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 8 of 9
Consent for publication
All patients included in this research are above 16 years and all gave written
informed consent to publish the data contained within this study.
Competing interests
The authors declare that they have no competing interests.
Received: 9 March 2021 Accepted: 13 May 2021
References
1. Priyanka J, Michelle S, Luciana PC, Myra F, Nicole H, Chenchan H, Aoife K,
Sherelle LN, Refky N, Liina P, Anuradha SB, Angela T, Wendy V, Myles TT
(2020) Endometriosis MRI lexicon: consensus statement from the Society of
Abdominal Radiology Endometriosis Disease-Focused Panel. Abdominal
Radiol 45(6):1552–1568
2. Foti PV, Farina R, Palmucci S, Vizzini IAA, Libertini N, Coronella M, Spadola S,
Caltabiano R, Iraci M, Basile A, Milone P (2018) Endometriosis: clinical
features, MR imaging findings and pathologic correlation. Insights into
Imaging 9(2):149–172. https://doi.org/10.1007/s13244-017-0591-0
3. Corwin MT, Gerscovich EO, Lamba R, Wilson M, JP MG (2104) Differentiation
of ovarian endometriomas from hemorrhagic cysts at MR imaging: utility of
the T2 dark spot sign. Radiology 271(1):126 –132
4. Thalluri AL, Knox S, Nguyen T (2017) MRI findings in deep infiltrating
endometriosis: a pictorial essay. J Med Imaging Radiat Oncol 61(6):767 –773.
https://doi.org/10.1111/1754-9485.12680
5. Pin L, Monseau-Thiburce AC, Ziade-Coularis C, Benjamin A, Menut F, Brun
JL, Merlot B, Chateil JF (2019) Exploratory study of the interest of MR
susceptibility-weighted imaging for the pre-operative assessment of pelvic
endometriosis extent. Eur J Radiol 118:245 –250. https://doi.org/10.1016/j.ejra
d.2019.06.018
6. Lee NK, Kim S, Kim KH, Suh DS, Kim TU, Han GJ, Lee JW, Kim JY (2016)
Diffusion-weighted magnetic resonance imaging in the differentiation of
endometriomas from hemorrhagic cysts in the ovary. Acta Radiol 57(8):998 –
1005. https://doi.org/10.1177/0284185115609805
7. Fernández RM, Ortega JB (2017) Magnetic resonance imaging of pelvic
endometriosis. Radiología (English Edition) 59(4):286 –296. https://doi.org/1
0.1016/j.rxeng.2017.06.002
8. Bazot M, Bharwani N, Huchon C, Kinkel K, Cunha TM, Guerra A, Manganaro
L, Bunesch L, Kido A, Togashi K, Thomassin-NaggaraI (2017) European
Society of Urogenital Radiology (ESUR) guidelines: MR imaging of pelvic
endometriosis. Eur Radiol 27(7):2765 –2775. https://doi.org/10.1007/s00330-
016-4673-z
9. Nozomi T, Osamu Y, Eriko M, Shotaro N, Miyuki H, Kaori K, Osamu H,
Masanobu N, Akashi T, Masaaki H, Shigeru S, Tomoyuki F, Yutaka O (2016)
Usefulness of T2 star-weighted imaging in ovarian cysts and tumors. J
Obstet Gynaecol Res 42(10):1336 –1342
10. Carnahan M, Fedor J, Agarwal A, Gupta S (2013) Ovarian endometrioma:
guidelines for selection of cases for surgical treatment or expectant
management. Expert Rev Obstet Gynecol 8(1):29 –55. https://doi.org/10.1
586/eog.12.75
11. Woodward PJ, Sohaey R, Mezzetti TP Jr (2001) Endometriosis: radiologic-
pathologic correlation. Radiographics 21(1):193 –216. https://doi.org/10.1148/
radiographics.21.1.g01ja14193
12. Outwater EK, Dunton CJ (1995) Imaging of the ovary and adnexa: clinical
issues and applications of MR imaging. Radiology 194(1):1 –18. https://doi.
org/10.1148/radiology.194.1.7997533
13. Namimoto T, Yamashita Y, Awai K, Nakaura T, Yanaga Y, Hirai T, Saito T,
Katabuchi H (2009) Combined use of T2-weighted and diffusion-weighted
3-T MR imaging for differentiating uterine sarcomas from benign
leiomyomas. Eur Radiol 19(11):2756
14. Abd El-Dayem TM, Zaky YH, Al-Gizawy AM, Hassan HHM (2017) New
magnetic resonance imaging sequences for the female pelvis in diagnosing
ovarian endometrioma an imaging-laparoscopic correlation. J Gen Med
Prim Care 1(1):1 –8
15. Moteki T, Horikoshi H, Endo K (2002) Relationship between apparent
diffusion coefficient and signal intensity in endometrial and other pelvic
cysts. Magn Reson Imaging 20(6):463 –470. https://doi.org/10.1016/S0730-72
5X(02)00524-6
16. Busard MPH, Mijatovic V, Van Kuijk C, Pieters-van den Bos IC, Hompes PGA,
Van Waesberghe JHTM (2010) Magnetic resonance imaging in the
evaluation of (deep infiltrating) endometriosis: the value of diffusion-
weighted imaging. J Magn Reson Imaging 31(5):1117 –1123. https://doi.
org/10.1002/jmri.22139
17. Takeuchi M, Matsuzaki K, Nishitani H (2008) Susceptibility-weighted MRI of
endometrioma: preliminary results. Am J Roentgenol 191(5):1366 –1370.
https://doi.org/10.2214/AJR.07.3974
18. Takeuchi M, Matsuzaki K, Harada M (2015) Susceptibility-weighted MRI of
extra-ovarian endometriosis: preliminary results. Abdom Imaging 40(7):
2512–2516. https://doi.org/10.1007/s00261-015-0378-z
Publisher’sN o t e
Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
Raafat et al. Egyptian Journal of Radiology and Nuclear Medicine (2021) 52:137 Page 9 of 9
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.