Evidence map›Paper›PMID 42742683›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Tri-modal PSMA PET/CT-MRI-US fusion biopsy for clinically significant prostate cancer: a prospective paired diagnostic study.

Chen Huang, Lichen Jin, Yizhang Sun, Menglin Wu, Xuefeng Zhang, Xiaofeng Xu, Xuefeng He, Feng Qiu, Ximing Wang, Lingchuan Guo and 7 more

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Article in European journal of nuclear medicine and molecular imaging, 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

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

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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

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Chen Huang *Department of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Lichen Jin *Department of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Yizhang Sun *Department of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Menglin WuSchool of Computer Science and Technology, Nanjing Tech University, Nanjing, 211816, China.
Xuefeng ZhangDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Xiaofeng XuDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Xuefeng HeDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Feng QiuDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Ximing WangDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Lingchuan GuoDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Renpeng HuangDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Jihui LiDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Shengming DengDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Yuxin LinDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China.
Xuedong WeiDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China. sdfyywxd@163.com.
Bin ZhangDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China. zbnuclmd@126.com.
Yuhua HuangDepartment of Urology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, 215006, China. sdfyymnwkyhh@163.com.ORCID http://orcid.org/0000-0002-4161-1866

Funding

The First Affiliated Hospital of Soochow University Clinical Diagnosis and Treatment Technology Innovation Project CXZL-A-240702
6 · The paper itself

Abstract

purposeMultiparametric MRI (mpMRI)-ultrasound (US) fusion biopsy misses 8%-20% of clinically significant prostate cancer (csPCa), leaving a detection gap that prostate-specific membrane antigen (PSMA) PET/CT may help close. Whether incorporating PSMA into an MRI-US fusion platform improves csPCa detection has not been evaluated in a prospective paired design. We compared tri-modal PSMA PET/CT-MRI-US fusion biopsy with MRI-US fusion biopsy and systematic biopsy.

methodsIn this prospective, single-center, and paired diagnostic accuracy study (STARD 2015; ChiCTR2400089436), 308 biopsy-naive men underwent tri-modal fusion biopsy, MRI-US fusion biopsy, and systematic biopsy in a single session. The primary endpoint was the absolute difference in patient-level csPCa detection (International Society of Urological Pathology grade group ≥ 2) between tri-modal and MRI-US fusion biopsies.

resultsTri-modal fusion detected 4.9% more csPCa than MRI-US fusion biopsy (95% confidence interval 2.4%-7.3%; P < 0.001; number needed to biopsy 20.5). The most significant gains were observed for PSMA-positive lesions < 10 mm (8.3%) and Prostate Imaging Reporting and Data System (PI-RADS) 4 lesions (5.8%), and this benefit persisted in multivariate generalized estimating equation models. The PSMA imaging-based risk score (area under the curve, 0.933) showed higher discrimination than the PRIMARY and molecular imaging PSMA scores. In a retrospective simulation using the test set, a risk-guided approach would have avoided approximately 42% of biopsies while missing 2.3% of csPCa. Limitations include the single-center design and the small test set.

conclusionTri-modal fusion was superior to MRI-US fusion biopsy in detecting csPCa, particularly in small PSMA-positive and PI-RADS 4 lesions. A PSMA-derived risk score enabled effective stratification, and in the test set, a simulated risk-guided approach showed potential for biopsy reduction. These findings require multicenter validation before clinical adoption.

trial registrationChiCTR2400089436 (Chinese Clinical Trial Registry, http://www.chictr.org.cn/ , registered 2024-09-09).

Indexed as

Clinically significant prostate cancerFusion biopsyMultimodal imagingProstate biopsyPSMA PET/CTRisk score

Identifiers

PMID42742683

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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.