Modern use of radiological diagnostic methods in patients with deep infiltrating endometriosis

Elizaveta M. Tcybuk, Elizaveta V. Shelaeva, Anna A. Tsypurdeeva, Maria I. Yarmolinskaya
In: Journal of obstetrics and women's diseases · 2025 · vol. 74(3) , pp. 103–113 · doi:10.17816/jowd642740 · W4412602689
article OA: closed CC0
View on OpenAlex View at publisher
⚙ AI-generated summary by claude@2026-06, 2026-06-06 ⓘ

This review examines the advantages, disadvantages, and accuracy of modern radiological methods like ultrasound, MRI, and CT for diagnosing deep infiltrating endometriosis and planning surgical interventions.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by claude@2026-06, 2026-06-06 ⓘ

This 2025 review examines modern radiological diagnostic methods for deep infiltrating endometriosis, surveying the use of ultrasound (including advanced modes), magnetic resonance imaging, and computed tomography, and synthesizing Russian and international evidence on their advantages, disadvantages, and diagnostic accuracy across deep lesion types. It also describes how preoperative imaging can support staging and assessment of disease severity and prevalence using existing classification systems, with the stated benefit of simplifying multidisciplinary planning and surgical volume estimation, including complication prediction at the examination stage. The paper’s main limitation, consistent with a narrative review format, is that it does not present new original diagnostic accuracy data. This paper is centrally about endometriosis — specifically, deep infiltrating endometriosis and the comparative value of imaging modalities for diagnosis, staging, and preoperative assessment.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Endometriosis is one of the most heterogeneous diseases in both its clinical manifestations and forms, and its course. Deep infiltrating endometriosis is a severe form of endometriosis, which currently occurs in every fifth patient with this disease. In clinical practice, timely diagnosis is extremely important, which contributes to the early start of treatment of these patients. However, delays in diagnosis can reach many years for a number of reasons. Those range from underestimation of symptoms by women, to difficulties in differential diagnosis with many other diseases that have a similar clinical picture. Among other reasons, there could be the experience and qualifications of specialists involved in the management of patients with suspected endometriosis. This article presents a modern review of radiation methods for diagnosing deep infiltrating endometriosis such as various modes of ultrasound, magnetic resonance imaging, and computed tomography. The article provides current Russian and foreign literature on their advantages and disadvantages, the accuracy of diagnosing various forms of deep infiltrating endometriosis, as well as the possibility of staging and assessing the severity and prevalence of the disease using various visualization methods according to the existing classification systems. The effectiveness of preoperative diagnostics of deep infiltrating endometriosis simplifies the interaction between related specialists that treat these patients. It also allows for competent planning of the proposed surgical volume, predicting possible complications at the preoperative examination stage, and providing for preventive measures.

My notes (saved in your browser only)

Condition tags

endometriosisdie_deep_infiltrating

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (57)

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK