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Cited by 39Endometriosis Research and TreatmentGynecological conditions and treatmentsMRI in cancer diagnosis

Nodular endometriosis: dynamic MR imaging

Onbas, Omer, Kantarci, Mecit, Alper, Fatih, Kumtepe, Yakup, Durur, Irmak, Ingec, Metin, Gursan, Nesrin, Okur, Adnan·2007·Abdominal Imaging
DOI 10.1007/s00261-006-9038-7
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Abstract

Purpose In this study we aimed to investigate the value of contrast enhanced dynamic MR imaging (DMI) in the diagnosis of nodular abdominal endometriosis.Subjects and methods Fourteen patients with surgically and pathologically proven endometriosis were examined with DMI. The patients were 22-54 years old (mean age 30.8 years). The dynamic MR studies of these patients were retrospectively reviewed by two radiologists who were aware of the clinical data. Nodular masses showing enhancement were evaluated for size, margins, and signal intensity on T1- and T2-weighted MR sequences. The protocol was tailored to selectively determine the diagnostic utility of signal intensity time course analysis for the behavior of nodular endometriosis and endometrial tissue, in DMI. Contrast-enhanced DMI was performed and the time-intensity curves of the lesions and the uterine endometrial tissue of each patient were compared. Mean enhancement values were calculated. Each DMI was evaluated for signal intensity value.Results In 8 (57%) of 14 patients, we found endometriosis in the abdominal wall. All patients with abdominal wall endometriosis had pelvic surgical operation history. Diameter of nodular endometriosis determined in the abdominus muscle ranged between 3 and 40 mm. Of eight cases, five had only one lesion and three had multiple lesions. Remaining 6 (43%) cases had deep pelvic endometriosis located in the uterosacral ligaments (n = 3), rectosigmoid (n = 2), and rectovaginal septum (n = 1). Diameter of pelvic endometriosis ranged between 9 and 53 mm. Noncontrast mean signal intensity of endometriosis and endometrial tissue were 280 +/- 73 and 216 +/- 20, respectively. The mean values of both endometriosis and normal endometrial tissue were calculated for each patient examined with five-slice DMI. All of the curves showed significant correlation. The lesion showed significant enhancement in the course of time similar to the endometrial tissue in all patients.Conclusion Our study was inspired from the fact that endometriosis is the ectopic endometrial tissue and we thought that endometrial tissue and endometriomas should have similar vascularity. In this way imaging with MR, getting the time-intensity curves and experiencing the correlation between the endometriosis and endometrial tissue may support the diagnosis in the cases with suspected endometriosis. This first study shows that the ectopic nodular endometriosis can easily be identified with dynamic MRI. It may be used to differentiate nodular endometriosis from the other pathologic conditions of abdominal wall and pelvis.

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Crossref · 10.1007/s00261-006-9038-7

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  • Several case reports and a few cohorts, up to eight patients, using MR imaging in AWE have been described.

    “At this moment, to our knowledge, several case reports and a few cohorts, up to eight patients using MR imaging in AWE, have been described in the literature [1, 7, 14–17].”

    From Appearance of abdominal wall endometriosis on MR imaging (2010) · cites this paper as [14]

  • In these studies, endometriosis appeared homogeneously hypointense or isointense, or heterogeneous with focal areas of high and low signal intensity, suggesting old haemorrhage or fibrosis on T2-weighted and T1-weighted fat-suppressed imaging.

    “In these studies, endometriosis appeared homogeneously hypointense or isointense, or heterogeneous with focal areas of high and low signal intensity, suggesting old haemorrhage or fibrosis on T2-weighted and T1-weighted fat-suppressed imaging.”

    From Appearance of abdominal wall endometriosis on MR imaging (2010) · cites this paper as [14]

  • No other pathological conditions were present in Onbas et al.'s patient population.

    “However, no other pathological conditions were present in their patient population.”

    From Appearance of abdominal wall endometriosis on MR imaging (2010) · cites this paper as [14]

  • Onbas et al. demonstrated that contrast-enhanced dynamic MR imaging (DMI) in a small number of patients (n = 8) with suspected AWE may support its diagnosis, based on the similar vascularity of endometriomas and endometrial tissue.

    “Onbas et al. [14] demonstrated that contrast-enhanced dynamic MR imaging (DMI) in a small number of patients (n = 8) with suspected AWE may support its diagnosis, based on the similar vascularity of endometriomas and endometrial tissue.”

    From Appearance of abdominal wall endometriosis on MR imaging (2010) · cites this paper as [14]

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Authors
Onbas, O., Kantarci, M., Alper, F., Kumtepe, Y., Durur, I., Ingec, M., Gursan, N., & Okur, A.
Affiliations
Atatürk University (TR)
ORCID
Venue
Abdominal Imaging
Publisher
Springer Science and Business Media LLC
Published
2007-04-10
Volume
32
Issue
4
Pages
451-456
ISSN
  • 0942-8925 (ISSN-L)
  • 1432-0509
DOI
10.1007/s00261-006-9038-7
OpenAlex
W1994409306
Cited by
39
References
14
Citations by year
2025: 1 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 1 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 3 · 2013: 4 · 2012: 1
FWCI
1.83
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Abdominal Imaging (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gynecological conditions and treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
Keywords
abdominal wall endometriosis, pelvic endometriosis, dynamic contrast-enhanced MRI, time-intensity curve, endometrium, uterosacral ligament, rectosigmoid endometriosis, signal intensity
MeSH terms
Adult, Contrast Media, Endometriosis, Female, Humans, Magnetic Resonance Imaging, Middle Aged, Retrospective Studies, Statistics, Nonparametric, Gadolinium DTPA

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