Evidence map›Paper›PMID 42240643›Full record

ArticleAbdominal radiology (New York)2026

Evaluating the efficacy of virtual magnetic resonance elastography and continuous-time random walk models in predicting clinically significant prostate cancer.

Meng Zhang, Endian Zhao, Xuekun Li, Zhong Li, Jinhui Duan, Ruijing Qin, Ruifang Yan

Abstract 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. Not yet cited in PubMed.

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

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

7 authors.

Meng ZhangDepartment of MRI, the First Affiliated Hospital of Henan Medical University, Weihui, China.
Endian ZhaoDepartment of Orthopedic Surgery, the First Affiliated Hospital of Henan Medical University, Weihui, China.
Xuekun LiDepartment of MRI, the First Affiliated Hospital of Henan Medical University, Weihui, China.
Zhong LiDepartment of MRI, the First Affiliated Hospital of Henan Medical University, Weihui, China.
Jinhui DuanDepartment of MRI, the First Affiliated Hospital of Henan Medical University, Weihui, China.
Ruijing QinDepartment of MRI, the First Affiliated Hospital of Henan Medical University, Weihui, China.
Ruifang YanDepartment of MRI, the First Affiliated Hospital of Henan Medical University, Weihui, China. yrf718@163.com.

Funding

the 2022 Category B Grant Projects of the Youth Cultivation Fund Program at the First Affiliated Hospital of Xinxiang Medical University QN-2022-B11The Key Project of Henan Province Medical Science and Technology Project LHGJ20250465
6 · The paper itself

Abstract

objectiveTo evaluate the predictive performance of virtual magnetic resonance elastography (vMRE) and continuous-time random walk (CTRW) models for clinically significant prostate cancer (csPCa, Gleason score ≥ 3 + 4).

methodsA total of 107 patients with suspected prostate lesions were retrospectively enrolled. Quantitative parameters from vMRE (µ), CTRW (α, β, D

resultsThe csPCa group had higher µ, PSAD, PI-RADS, and TPSA, and lower α, β, D

conclusionBoth vMRE and CTRW are superior to conventional DWI in differentiating csPCa. The combined µ + α + D

Indexed as

Continuous-time random walkMagnetic resonance imagingProstate cancerVirtual magnetic resonance elastography

Identifiers

PMID42240643

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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.