ArticleRadiology2024
Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI.
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21citing papers in PubMed
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Who cites it
21 citing papers in PubMed.
- Navigating Uncertainty in MRI Diagnosis: A Human-AI Collaborative Strategy for Stratifying Clinically Significant Prostate Cancer.Journal of magnetic resonance imaging : JMRI · 2026Article
- Autonomous AI in prostate cancer: the road ahead towards clinical implementation.Abdominal radiology (New York) · 2026Review
- MSTM-Net: a two-stage prostate cancer segmentation network based on swin-transformer-mamba architecture.BMC medical imaging · 2026Article
- Combined radiomics, PI-RADS, and clinical model improve significant prostate cancer prediction and guide biopsy decision.Insights into imaging · 2026Article
- Deep-learning computer-aided detection and classification of prostate lesions on biparametric MRI: comparison with expert readers.Insights into imaging · 2026Article
- Assessing inter-observer variability in prostate and GTV segmentation on mpMRI: A comparison between radiation oncologists and AI-based method.Journal of applied clinical medical physics · 2026Article
- Artificial Intelligence in Prostate MRI: Addressing Current Limitations Through Emerging Technologies.Journal of magnetic resonance imaging : JMRI · 2026Review
- External evaluation of an open-source deep learning model for prostate cancer detection on bi-parametric MRI.European radiology · 2026Article
- Research-based clinical deployment of artificial intelligence algorithm for prostate MRI.Abdominal radiology (New York) · 2025Article
- Redefining Prostate Cancer Precision: Radiogenomics, Theragnostics, and AI-Driven Biomarkers.Cancers · 2025Review
- Improving Early Prostate Cancer Detection Through Artificial Intelligence: Evidence from a Systematic Review.Cancers · 2025Review
- Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI.Journal of magnetic resonance imaging : JMRI · 2025Article
- Toward a Refined PI-RADS: The Feasibility and Limitations of More Informative Metrics in Reviewing MRI Scans.Journal of magnetic resonance imaging : JMRI · 2025Review
- Exploring the role of multimodal [European journal of nuclear medicine and molecular imaging · 2025Article
- An overview of utilizing artificial intelligence in localized prostate cancer imaging.Expert review of medical devices · 2025Review
- External validation of AI for detecting clinically significant prostate cancer using biparametric MRI.Abdominal radiology (New York) · 2025Article
- Advances in imaging and artificial intelligence for precision diagnosis and biopsy guidance in prostate cancer.Frontiers in oncology · 2025Review
- Multimodal approach to optimize biopsy decision-making for PI-RADS 3 lesions on multiparametric MRI.Clinical imaging · 2025Article
- Review
- Diagnostic accuracy of transcranial sonography-magnetic resonance fusion imaging for Parkinson's disease versus multiple system atrophy-Parkinsonian type.Frontiers in neurologyArticle
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Authors and funding
21 authors.
Yue LinFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0003-4143-174X
Enis C YilmazFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0001-5301-3137
Mason J BelueFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-1298-9958
Stephanie A HarmonFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-2507-2399
Jesse TetreaultFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0009-0001-3057-8626
Tim E PhelpsFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0003-1842-7283
Katie M MerrimanFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0003-3330-6885
Lindsey HazenFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0003-4013-8226
Charisse GarciaFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).
Dong YangFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-5031-4337
Ziyue XuFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-5728-6869
Nathan S LayFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-3548-9251
Antoun ToubajiFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0009-0000-3841-2359
Maria J MerinoFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).
Daguang XuFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).
Yan Mee LawFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-6499-4281
Sandeep GurramFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).
Bradford J WoodFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-4297-0051
Peter L ChoykeFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0003-1086-8826
Peter A PintoFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0002-0190-5931
Baris TurkbeyFrom the Molecular Imaging Branch (Y.L., E.C.Y., M.J.B., S.A.H., T.E.P., K.M.M., N.S.L., P.L.C., B.T.), Center for Interventional Oncology (L.H., C.G., B.J.W.), Laboratory of Pathology (A.T., M.J.M.), and Urologic Oncology Branch (S.G., P.A.P.), National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892; NVIDIA, Santa Clara, Calif (J.T., D.Y., Z.X., D.X.); Department of Radiology, Clinical Center, National Institutes of Health, Bethesda, Md (L.H., C.G., B.J.W.); and Department of Radiology, Singapore General Hospital, Singapore (Y.M.L.).ORCID 0000-0003-0853-6494
Funding
Prostate Cancer ImagingZIABC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2025
$49.2MCenter for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7MProstate SectionZIABC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2009 to 2025
$15.2MTranslational Surgical PathologyZIESC000853 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI MERINO, MARIA · 2009 to 2025
$4.3MImaging, image guided biopsy and treatment of prostate cancerZIABC012062 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TÜRKBEY, BARIS · 2021 to 2025
$1.3MDevelopment of COVID-19 Imaging Tools with Artificial IntelligenceZIABC011936 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2020 to 2025
$1.2MInterventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0kArtificial Intelligence with Chest Imaging in COVID-19 and Isolation and Ventilator Devices for COVID-19ZIACL090072 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2020 to 2025
$0kAbstract
Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader variation, which results in performance inconsistency. Artificial intelligence (AI) models can assist in mpMRI interpretation, but large training data sets and extensive model testing are required. Purpose To evaluate a biparametric MRI AI algorithm for intraprostatic lesion detection and segmentation and to compare its performance with radiologist readings and biopsy results. Materials and Methods This secondary analysis of a prospective registry included consecutive patients with suspected or known PCa who underwent mpMRI, US-guided systematic biopsy, or combined systematic and MRI/US fusion-guided biopsy between April 2019 and September 2022. All lesions were prospectively evaluated using Prostate Imaging Reporting and Data System version 2.1. The lesion- and participant-level performance of a previously developed cascaded deep learning algorithm was compared with histopathologic outcomes and radiologist readings using sensitivity, positive predictive value (PPV), and Dice similarity coefficient (DSC). Results A total of 658 male participants (median age, 67 years [IQR, 61-71 years]) with 1029 MRI-visible lesions were included. At histopathologic analysis, 45% (294 of 658) of participants had lesions of International Society of Urological Pathology (ISUP) grade group (GG) 2 or higher. The algorithm identified 96% (282 of 294; 95% CI: 94%, 98%) of all participants with clinically significant PCa, whereas the radiologist identified 98% (287 of 294; 95% CI: 96%, 99%;
Indexed as
Deep LearningMultiparametric Magnetic Resonance ImagingProstatic NeoplasmsAgedAlgorithmsHumansImage-Guided BiopsyImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesProstate
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