R2* and ADC values in differentiating endometriosis-associated ovarian cancer from ovarian cancer

Ye Li, Ailian Liu, Jiazheng Wang
In: ISMRM Annual Meeting · 2024 · doi:10.58530/2023/1673 · W4401575836
article OA: closed CC0
Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by qwen3.7-flash, 2026-09-06 ⓘ

This study compared R2* and ADC values in endometriosis-associated ovarian cancer versus other ovarian cancers, finding that ADC values effectively discriminated between the groups while R2* values showed no significant difference.

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

⚙ AI-generated deep summary by qwen3.7-flash, 2026-09-06 · read from full text ⓘ

This study investigated the utility of R2* and apparent diffusion coefficient (ADC) values in distinguishing endometriosis-associated ovarian cancer from non-endometriosis-associated ovarian cancer. The researchers analyzed imaging data from 9 lesions in patients with endometriosis-associated ovarian cancer and 21 lesions in patients with standard ovarian cancer to compare these quantitative MRI parameters. The analysis revealed that ADC values were effective in discriminating between the two cancer subtypes, whereas no significant difference was observed in the R2* values. This paper is centrally about endometriosis — specifically regarding its association with ovarian cancer and the use of MRI biomarkers for differentiation.

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

Abstract

A total of 9 lesions from 7 EAOC patients and 21 lesions from 19 OC patients were collected to compare the differences in R2* and ADC values between the EAOC and OC groups. The results showed that the ADC values were able to discriminate between the two and there was no difference in R2* values.
Full text 1,197 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

#1673 DOI: https://doi.org/10.58530/2023/1673 Ye Li1, Ailian Liu1, and Jiazheng Wang2 1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China

Keywords

Cancer, fMRIA total of 9 lesions from 7 EAOC patients and 21 lesions from 19 OC patients were collected to compare the differences in R2* and ADC values between the EAOC and OC groups. The results showed that the ADC values were able to discriminate between the two and there was no difference in R2* values. How to access this content: For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library. After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library. After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers. Keywords

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)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

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

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-06-04T00:00:01.174412+00:00
unpaywall
last seen: 2026-10-08T06:33:43.470499+00:00
License: CC0 · commercial use OK