Evidence map›Paper›PMID 40540053›Full record

ReviewAbdominal radiology (New York)2026

Head to toe: expand your diagnosis on routine imaging to include endometriosis.

Anuradha S Shenoy-Bhangle, Carlos Carnelli, Angela Tong, Liina Poder, Myles T Taffel, Kristine S Burk, Soumyadeep Ghosh, Luciana P Chamie, Scott W Young, Myra K Feldman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Patient-Centred Perspectives on Diagnostic Strategies for Endometriosis: A Qualitative Study.BJOG : an international journal of obstetrics and gynaecology · 2026
    Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anuradha S Shenoy-BhangleMassachusetts General Hospital, Boston, USA. ashenoy-bhangle@mgh.harvard.edu.
Carlos CarnelliUniversity of the Republic, Montevideo, Uruguay.
Angela TongNew York University Langone Medical Center, New York, USA.
Liina PoderUniversity of California, San Francisco, San Francisco, USA.
Myles T TaffelNew York University Langone Medical Center, New York, USA.
Kristine S BurkBrigham and Women's Hospital, Boston, USA.
Soumyadeep GhoshMassachusetts General Hospital, Boston, USA.
Luciana P ChamieBrigham and Women's Hospital, Boston, USA.
Scott W YoungMayo Clinic, Rochester, USA.
Myra K FeldmanCleveland Clinic, Cleveland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a common condition primarily impacting women of childbearing age. Despite increasing awareness that endometriosis can be diagnosed non-invasively with the correct imaging techniques, there exists a significant delay in diagnosis, to the tune of 5-10 years. This gap can be narrowed by understanding that this is a disease that lends itself to pattern recognition, and learning to recognize the characteristic patterns on any imaging study will allow earlier diagnosis and prevent long-term complications that can occur with progressive, untreated endometriosis. The disease is often multifocal and thus can present with a wide array of nonspecific symptoms. When clinical findings do not suggest endometriosis, patients often undergo non-targeted imaging, such as chest, abdominal, or pelvic computed tomography (CT); Magnetic Resonance imaging (MRI) studies optimized for neurologic or musculoskeletal indications; or ultrasound (US) exams performed for palpable masses or nonspecific abdominal pain. Familiarity with endometriosis's characteristic patterns across organ systems and how it can masquerade as other diseases helps radiologists broaden their differential to include endometriosis, even on studies not originally aimed at its detection. This review article will describe those imaging findings of endometriosis affecting various organ systems that mimic other pathologies and will enable the reader to pause and question whether endometriosis should be included in the differential.

Indexed as

Diagnostic ImagingEndometriosisDiagnosis, DifferentialFemaleHumansEndometriomaEndometriosisGastrointestinal tract endometriosisThoracic Endometriosis SyndromeUrinary tract endometriosis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.