MRI of endometriosis in correlation with the #Enzian classification: applicability and structured report

Clinical Management of Infertility Associated with Endometriosis

OBJECTIVE

This study aimed to review recent data that affected the clinical management of infertility associated with endometriosis.

DATA SOURCES

We completed a PubMed review of all articles that included the following keywords: endometriosis, infertility, IVF, and ART.

STUDY SELECTION

A study was selected based on the pertinence of the topic addressed in relation to the study's set objectives.

DATA EXTRACTION AND SYNTHESIS

All identified articles were first assessed based on a review of the abstract. Pertinent articles were reviewed in depth.

CONCLUSION

Endometriosis interferes with natural conception primarily by altering the quality of gametes-oocytes and sperm-and early-stage embryos. On the contrary, recent data indicate that gametes and early-stage embryos are not altered in the case of ART. Surgery-a classical approach in yesteryears-does appear to improve ART outcomes and may affect ovarian reserve and the number of oocytes retrieved in ART. Surgery is thus more rarely opted for today and only when necessary; proceeding to fertility preservation prior to surgery is recommended. When ART is performed in women with endometriosis, it is recommended to use an antagonist or progesterone-primed ovarian stimulation approach followed by deferred embryo transfer. In this case, GnRH (gonadotropin releasing hormone) agonist is preferred for triggering ovulation, as it limits the risk of cyst formation as well as ovarian hyperstimulation syndrome. Frozen embryo transfers are best performed in E2 (estradiol) and progesterone replacement cycle.

Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography

Endometriosis affects 1 in 9 women, taking 6.4 years to diagnose using conventional laparoscopy. Non-invasive imaging enables timelier diagnosis, reducing diagnostic delay, risk and expense of surgery. This review updates literature exploring the diagnostic value of specialist endometriosis magnetic resonance imaging (eMRI), nuclear medicine (NM) and computed tomography (CT). Searching after the 2016 IDEA consensus, 6192 publications were identified, with 27 studies focused on imaging for endometriosis. eMRI was the subject of 14 papers, NM and CT, 11, and artificial intelligence (AI) utilizing eMRI, 2. eMRI papers describe diagnostic accuracy for endometriosis, methodologies, and innovations. Advantages of eMRI include its: ability to diagnose endometriosis in those unable to tolerate transvaginal endometriosis ultrasound (eTVUS); a panoramic pelvic view, easy translation to surgical fields; identification of hyperintense iron in endometriotic lesions; and ability to identify super-pelvic lesions. Sequence standardization means eMRI is less operator-dependent than eTVUS, but higher costs limit its role to a secondary diagnostic modality. eMRI for deep and ovarian endometriosis has sensitivities of 91-93.5% and specificities of 86-87.5% making it reliable for surgical mapping and diagnosis. Superficial lesions too small for detection in larger capture sequences, means a negative eMRI doesn't exclude endometriosis. Combined with thin sequence capture and improved reader expertise, eMRI is poised for rapid adoption into clinical practice. NM labeling is diagnostically limited in absence of suitable unique marker for endometrial-like tissue. CT studies expose the reproductively aged to radiation. AI diagnostic tools, combining independent eMRI and eTVUS endometriosis markers, may result in powerful capability. Broader eMRI use, will optimize standards and protocols. Reporting systems correlating to surgical anatomy will facilitate interdisciplinary preoperative dialogues. eMRI endometriosis diagnosis should reduce repeat surgeries with mental and physical health benefits for patients. There is potential for early eMRI diagnoses to prevent chronic pain syndromes and protect fertility outcomes.

Application of the #Enzian classification for endometriosis on MRI: prospective evaluation of inter- and intraobserver agreement

Objectives

The purpose of this investigation was to evaluate the inter- and intraobserver variability of the updated #Enzian classification of endometriosis on MRI and to evaluate the influence of reader experience on interobserver concordance.

Methods

This was a prospective single-center study. All patients were included who received an MRI of the pelvis for evaluation of endometriosis between March and July 2023 and who have provided written informed consent. Images were reviewed independently for endometriosis by three radiologists, utilizing the MRI-applicable categories of the #Enzian classification. Two radiologists had experience in pelvic MRI and endometriosis imaging. One radiologist had no specific experience in pelvic MRI and received a one-hour briefing beforehand.

Results

Fifty consecutive patients (mean age, 34.9 years ±8.6 [standard deviation]) were prospectively evaluated. Interobserver agreement was excellent for diagnosis of deep infiltrating endometriosis (Fleiss' kappa: 0.89; 95% CI 0.73-1.00; p < 0.001) and endometriomas (Fleiss' kappa: 0.93; 95% CI 0.77-1.00; p < 0.001). For the experienced readers, interobserver agreement in the assessment of compartments A, B and C was excellent (κw ranging from 0.84; 95% CI 0.71-0.97; p < 0.001 to 0.89; 95% CI 0.82-0.97; p < 0.001). For the pairings of the experienced readers to the reader without specific experience in pelvic MRI, agreement was substantial to excellent (κw ranging from 0.64; 95% CI 0.44-0.85; p < 0.001 to 0.91; 95% CI 0.84-0.98; p < 0.001). Intraobserver variability was excellent for compartments A, B and C (κw ranging from 0.85; 95% CI 0.73-0.96; p < 0.001 to 0.95; 95% CI 0.89-1.00; p < 0.001).

Conclusion

With sufficient experience, the #Enzian classification enables the achievement of excellent inter- and intraobserver agreement in MRI-based diagnosis of deep infiltrating endometriosis and endometriomas.