Evidence map›Paper›PMID 39932551›Full record

ArticleAbdominal radiology (New York)2025

Advanced diffusion-weighted imaging biomarkers for non-invasive assessment of tumor microenvironment in rectal cancer: restricted spectrum imaging.

Jie Yuan, Yiqun Sun, Kun Liu, Gang Han, Ziyuan Wang, Mengxiao Liu, Yongming Dai, Cui Tang, Dongmei Wu

Abstract read
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Article in Abdominal radiology (New York), 2025. 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

9 authors.

Jie YuanDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yiqun SunDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Kun LiuDepartment of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine Shanghai, Pudong, China.
Gang HanDepartment of Gastrointestinal Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ziyuan WangDepartment of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine Shanghai, Pudong, China.
Mengxiao LiuMR scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd, Shanghai, China.
Yongming DaiSchool of Biomedical, Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Cui TangDepartment of Radiology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China. tangcui82@163.com.
Dongmei WuShanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China. dmwu@phy.ecnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the heterogeneity of the rectal cancer microenvironment (TME) using restricted spectrum imaging (RSI) and investigate its association with tumor stroma and Ki67 as key histopathologic indicators. MATERIALS AND

methodsIn this prospective study, 66 patients with rectal cancer underwent pretreatment MRI with RSI. The optimal model format was determined by Bayesian Information Criterion (BIC). RSI3-derived parameters (RSI

resultsThe three-compartment RSI model (RSI

conclusionRSI

Indexed as

Diffusion Magnetic Resonance ImagingRectal NeoplasmsTumor MicroenvironmentAdultAgedBiomarkers, TumorFemaleHumansKi-67 AntigenMaleMiddle AgedProspective StudiesSensitivity and SpecificityBiomarkers, TumorKi-67 AntigenDiffusionMagnetic resonance imagingRectal neoplasmsTumor microenvironment

Identifiers

PMID39932551

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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.