Analysis of positron emission tomography/computed tomography in patients to differentiate between malignant transformation of endometrioma and endometrioma
This study determined that an SUVmax cut-off of 4.0 on FDG-PET/CT can differentiate malignant transformation of endometrioma from benign endometrioma with 75% sensitivity and 100% specificity.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This retrospective study evaluated 18F-FDG PET/CT diagnostic performance to differentiate malignant transformation of endometrioma (MTOE) from benign endometrioma. Researchers compared demographic variables, serum CA125, and contrast-enhanced MRI features in 1599 consecutive laparoscopically diagnosed endometrioma patients with 31 patients undergoing open surgery for suspected MTOE, and they derived an optimal SUVmax cutoff using receiver operating characteristic analysis. They found that age, tumor size, MRI shading, and PET/CT SUVmax differed between groups, and that an SUVmax cutoff >4.0 excluded endometrioma with 75% sensitivity and 100% specificity (AUC 0.90). The paper’s main limitation is that it relies on retrospective cohorts defined by surgical suspicion and contains few confirmed malignancies, which constrains generalizability. This paper is centrally about endometriosis—using FDG PET/CT to distinguish malignant transformation of ovarian endometriomas from benign endometriomas.
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
Abstract
Full text
4,306 characters
· extracted from
oa-doi-fallback
· 4 sections
· click to expand
Abstract
Results
Conclusion
References
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.
My notes (saved in your browser only)
Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works
Condition tags
MeSH descriptors
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 (12)
- Clinical Characteristics of Patients in Japan with Ovarian Cancer Presumably Arising from Ovarian Endometrioma via openalex
- Clinicopathologic features of ovarian cancer in patients with ovarian endometrioma via openalex
- Malignant changes in endometriosis. via openalex
- Ovarian Carcinoma in Patients with Endometriosis via openalex
- Ovarian endometrioma—Risks factors of ovarian cancer development via openalex
- Risk of developing ovarian cancer among women with ovarian endometrioma: a cohort study in Shizuoka, Japan via openalex
- Role of cytokines in endometriosis via openalex
- W2125009780 via openalex
- W2137789329 via openalex
- W2119602980 via openalex
- W2072084008 via openalex
- W2060922489 via openalex
Cited by (5)
- Cholesterol granuloma forming the solid components within an endometrioma showing intense FDG uptake, mimicking malignancy: A case report 2026
- Positron emission tomography in the evaluation of endometriosis: A systematic review 2024
- PET/CT imaging in invasive endometriosis: a way to minimize missed diagnosis and reduce invasive interventions 2023
- Extrauterine Endometrial Stromal Sarcoma Mimicking Colorectal Cancer With Metastases 2022
- Interference of Known or Suspected Endometriosis in Reporting FDG PET/CT Performed in Another Indication 2022
Source provenance
- europepmc
- last seen: 2026-08-16T09:21:09.727480+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-05-13T22:21:00.404924+00:00
- unpaywall
- last seen: 2026-08-18T06:27:49.008893+00:00