Evidence map›Paper›PMID 40338303›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

The predictive value of multiparametric MRI combined with [

Jian Xu, Haisong Chen, Lixuan Chen, Tiancheng Li, Heng Lin, Shuying Bian, Qi Lin, Yuandi Zhuang, Yingnan Xue, Yunjun Yang and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The value of [Quantitative imaging in medicine and surgery · 2026
    Article
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.

Jian XuThe Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Haisong ChenThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Lixuan ChenThe Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Tiancheng LiThe Departments of Nuclear Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, China.
Heng LinThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Shuying BianThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Qi LinThe Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Yuandi ZhuangThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Yingnan XueThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Yunjun YangThe Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Xinhui Su *The Departments of Nuclear Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, China. suxinhui@zju.edu.cn.
Fei Yao *The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China. yaofei@wmu.edu.cn.ORCID 0000-0002-4577-3264

Funding

Natural Science Research Project of Guizhou Province LQ18H280007Science and Technology Plan Project of Wenzhou Municipality Grant No. 2024Y0284State Key Laboratory of Microwave and Digital Communication Grant No. 2023HZSY0012Wenzhou Major Program of Science and Technology Innovation ZY2020012
6 · The paper itself

Abstract

purposeThis study aimed to develop a predictive model that integrates parameters derived from preoperative multiparametric magnetic resonance imaging (mpMRI) and [

methodsWe ultimately retrospectively analyzed 163 patients with biopsy-confirmed localized prostate cancer (PCa) who underwent preoperative mpMRI and [

resultsA total of 55 (33.7%) cases experienced pathological upgrading. Multivariate analysis revealed that ADCmean - ADCmin (P = 0.035); SUVmax (P = 0.003); highest tumor grade at SB, ISUP grade group (ISUP GG) 1 vs. 2 (P = 0.001), ISUP GG 1 vs. 3 (P < 0.001), ISUP GG 1 vs. 4 (P < 0.001); and multifocality on [

conclusionOur predictive model, integrating mpMRI and [

Indexed as

Multiparametric Magnetic Resonance ImagingNiacinamideOligopeptidesPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedFluorine RadioisotopesHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesFluorine RadioisotopesNiacinamideOligopeptidesPSMA-1007[18F]PSMA-1007 PET/CTMpMRIPathological upgradingProstate cancerSystematic biopsy

Identifiers

PMID40338303

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.