Evidence map›Paper›PMID 42570089›Full record

ArticleAbdominal radiology (New York)2026

Time-dependent diffusion MRI for assessing tumor microstructure and prognostic risk factors in cervical cancer.

Tianhui Zhang, Weixiong Fan, Kuiyuan Liu, Haoan Xu, Wenbiao Zhu, Yingsi Yang, Wenhui Xie, Dan Wu, Zhihan Yan, Jiaqi Wang and 3 more

Erratum issuedAbstract read
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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. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

5 · Who and what money

Authors and funding

13 authors.

Tianhui ZhangMeizhou People's Hospital, Meizhou, China.
Weixiong FanMeizhou People's Hospital, Meizhou, China.
Kuiyuan LiuZhejiang University, Hangzhou, China.
Haoan XuZhejiang University, Hangzhou, China.
Wenbiao ZhuMeizhou People's Hospital, Meizhou, China.
Yingsi YangMeizhou People's Hospital, Meizhou, China.
Wenhui XieMeizhou People's Hospital, Meizhou, China.
Dan WuZhejiang University, Hangzhou, China.
Zhihan YanYuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Jiaqi WangUnited Imaging Healthcare, Shanghai, China.
Jing YangUnited Imaging Healthcare, Shanghai, China.
Meihao WangYuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. wzwmh@wmu.edu.cn.
Xue WangYuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. 874714853@qq.com.ORCID https://orcid.org/0000-0001-6178-6316

Funding

Cultivation Project of Meizhou People's Hospital PY-C2025016Key Laboratory of Intelligent Medical Imaging of Wenzhou 2021HZSY0057Lingyan Project of Zhejiang Province 2025C02142Medical Scientific Foundation of Guangdong Province A2026248National Natural Science Foundation of China 82471955Wenzhou Science and Technology Bureau Project GY20250233Zhejiang Provincial Health and Medicine Youth Talent Project 2023RC212
6 · The paper itself

Abstract

purposeTo evaluate the utility of td-dMRI for noninvasively characterizing tumor microstructure and its potential value in prediction of prognostic risk factors for cervical cancer. MATERIALS AND

methodsIn this prospective study, 117 women with suspected cervical cancer underwent td-dMRI on a 3T scanner between January 2024 and February 2025. Microstructural parameters including intracellular volume fraction (f

resultsAfter FDR correction, ADC

conclusionTd-dMRI-derived parameters may provide noninvasive imaging biomarkers reflecting cervical cancer microstructure and show preliminary value for assessing selected prognostic risk factors, particularly histological grade and LVSI. These findings require further validation in larger, multicenter cohorts.

Indexed as

Cervical cancerLymphovascular space invasionTime-dependent diffusion MRITumor microstructure

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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.