Evidence map›Paper›PMID 40137950›Full record

ArticleAbdominal radiology (New York)2025

Exploring the value of multiparametric quantitative magnetic resonance imaging in avoiding unnecessary biopsy in patients with PI-RADS 3-4.

Zijian Gong, Fei Jiang, Zhixuan Liu, Zefei Chen, Yun Peng, Jia Qiu, Hongxing Ying, Lianggeng Gong, Jiankun Dai, Yinquan Ye

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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. 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

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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

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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. Prognostic features of biochemical recurrence of prostate cancer following radical prostatectomy based on diffusion kurtosis imaging.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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4 · The record

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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

10 authors.

Zijian GongDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Fei JiangDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Zhixuan LiuDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Zefei ChenDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yun PengDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jia QiuDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Hongxing YingDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Lianggeng GongDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jiankun DaiMRI Research, GE Healthcare, Beijing, China.
Yinquan YeDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China. 40365784@qq.com.

Funding

General Science and Technology Fund of Jiangxi Provincial Health Commission 20212B A B206053Jiangxi Province Graduate Innovation Fund Project YC2024-S154
6 · The paper itself

Abstract

purposeTo validate the performance of three multiparametric quantitative sequences, including amide proton transfer-weighted (APTw) MRI, diffusion kurtosis imaging (DKI) and apparent diffusion coefficient (ADC), in the enhancement of biopsy decision-making in patients with Prostate Imaging-Reporting and Data System (PI-RADS) core of 3-4. MATERIALS AND

methodsA total of 96 participants who scored as PI-RADS 3-4 according to PI-RADS v2.1 and pathologically confirmed were enrolled. The mean of APT, ADC, mean diffusivity (MD) and mean kurtosis (MK) values were acquired by two radiologists and a senior radiologist. The univariate and multivariate logistic regression analyses were performed for parameters selection. Receiver operating characteristic (ROC) analysis was employed to assess the performance of models. The Delong test was applied to compare the area under the ROC curves (AUCs) between models. The proportion of unnecessary biopsies avoided (specificity) and csPCa missed (1-sensitivity) were calculated for each model.

resultsIn this PI-RADS 3-4 cohort, the AUCs for the diagnosis of csPCa were 0.730 (95%CI: 0.626, 0.834), 0.682(95%CI: 0.562, 0.802), 0.610(95%CI: 0.482, 0.739) and 0.706(95%CI: 0.593, 0.819) for APT, MD, MK and ADC values, respectively. The combined model yielded the significantly higher AUC of 0.851 (95%CI: 0.767, 0.934) (P < 0.05), and achieved a best trade-off between missing csPCa and avoiding unnecessary biopsy than other models (Youden = 0.615).

conclusionA novel diagnostic model incorporating APTw-MRI, DKI and ADC has been shown to provide incremental diagnostic value in stratifying biopsy necessity for patients with PI-RADS 3-4 lesions.

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsUnnecessary ProceduresAgedBiopsyHumansMaleMiddle AgedRadiology Information SystemsRetrospective StudiesSensitivity and SpecificityAmide proton transfer-weighted (APTw)Clinically significant prostate cancer (csPCa)Diffusion kurtosis imaging (DKI)Magnetic resonance imaging (MRI)Prostate imaging reporting and data system V.rsion 2.1 (PI-RADS V. 2.1)

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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.