Evidence map›Paper›PMID 41553526›Full record

ArticleAbdominal radiology (New York)2026

Added value of synthetic MRI in refining biparametric MRI VI-RADS for predicting muscle-invasive bladder cancer.

Zihui Zhao, Zhen Zhao, Xuefeng Bu, Min Wang, Tonglei Zhao, Lin Fu, Ying Cui, Yang Jiang, Wenjun Yang, Jiajia Xu and 1 more

Abstract readMulticenter Study
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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zihui Zhao *Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Zhen Zhao *Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Xuefeng BuNanjing Lishui People's Hospital, Southeast University, Nanjing, China.
Min WangDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Tonglei ZhaoSoutheast University School of Medicine, Nanjing, China.
Lin FuDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Ying CuiDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Yang JiangDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Wenjun YangDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Jiajia XuDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Xin-Gui PengDepartment of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China. 101011887@seu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the diagnostic value of synthetic MRI (SyMRI)-derived T1 and T2 values in predicting muscle-invasive bladder cancer (MIBC), and assess the feasibility of integrating them into the biparametric MRI Vesical Imaging-Reporting and Data System (bpVI-RADS).

methodsThis prospective dual-center study included 42 patients (mean age: 71.90 ± 9.70 years, 90.5% male, 23.8% MIBC) with histologically confirmed urothelial carcinoma who underwent bladder MRI. Two radiologists independently assigned bpVI-RADS scores based on T2-weighted and diffusion-weighted images, blinded to pathological, with consensus reached through consultation with a senior radiologist. Tumor volumes were manually delineated on SyMRI-derived maps to extract T1 and T2 values. Two modified models (bpVI-RADS + T1 and bpVI-RADS + T2) were created by adjusting bpVI-RADS scores according to optimal T1 or T2 cutoff values determined via receiver operating characteristic (ROC) curve analysis. Diagnostic performance was assessed with ROC analysis, and AUCs were compared using the DeLong test.

resultsMIBC lesions showed significantly lower T1 and T2 values than non-muscle-invasive bladder cancer (NMIBC). Optimal cutoff values for T1 and T2 to differentiate MIBC from NMIBC were 1370 msec and 115 msec, respectively. The bpVI-RADS + T2 achieved significantly higher AUC (0.994 vs. 0.881, P = 0.021) than bpVI-RADS at a cutoff score of ≥ 4. The bpVI-RADS + T1 showed slightly improved diagnostic performance than bpVI-RADS (0.913 vs. 0.881, P = 0.605).

conclusionSyMRI-derived T1 and T2 values could help distinguish muscle invasion in bladder cancer. Incorporating T2 values into the bpVI-RADS framework significantly enhances diagnostic performance for predicting MIBC.

Indexed as

Magnetic Resonance ImagingUrinary Bladder NeoplasmsAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNon-Muscle Invasive Bladder NeoplasmsPredictive Value of TestsProspective StudiesRadiology Information SystemsMultiparametric magnetic resonance imagingNeoplasm stagingUrinary bladder neoplasmsVesical imaging reporting and data system

Identifiers

PMID41553526

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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.