Evidence map›Paper›PMID 42560492›Full record

ArticleAbdominal radiology (New York)2026

Time-dependent diffusion MRI for differentiating cervical cancer subtypes: impact of ROI delineation strategies on diagnostic performance.

Xuelin Ma, Yanwan Li, Siqi Yi, Xiaoyu Chen, Xingguo Pang, Ping Zheng, Meining Chen, Yuemin Wang, Xingyu Chen, Peng Zhou and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Xuelin Ma *Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Yanwan Li *Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Siqi YiDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoyu ChenDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Xingguo PangDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Ping ZhengDepartment of Pathology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Meining ChenMR Research Collaboration Team, Siemens Healthineers Ltd, Chengdu, China.
Yuemin WangInstitute of Biomedical Engineering， College of Medicine, Southwest Jiaotong University, Chengdu, China.
Xingyu ChenInstitute of Biomedical Engineering， College of Medicine, Southwest Jiaotong University, Chengdu, China.
Peng ZhouDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoli ChenDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. 20shenbaise@163.com.
Xiaolei DongDepartment of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. dongxiaolei1228@163.com.ORCID https://orcid.org/0009-0009-1208-5789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the impact of different ROI delineation strategies on the utility of Time-dependent diffusion MRI (TDD-MRI)-derived microstructural parameters for distinguishing adenocarcinoma (AC) from squamous cell carcinoma (SCC).

methodsIn this prospective study, patients with pathologically confirmed cervical cancer who underwent TDD-MRI between August 2024 and June 2025 were enrolled. Three region-of-interest (ROI) delineation strategies were used: small solid ROI (ROI

resultsA total of 92 women (79 with SCC and 13 with AC) with cervical cancer (mean age, 55.5 ± 10.4 years) were included. For TDD-MRI-derived microstructural parameters and ADCs, intra- and inter-reader ICCs were 0.910-0.971 and 0.904-0.981, respectively. The ROI

conclusionTDD-MRI-based microstructural parameters derived from the ROI

Indexed as

Cervical cancerHistological typesMagnetic resonance imagingRegion-of-InterestTime-dependent diffusion MRI

Identifiers

PMID42560492

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.