ArticleAJR. American journal of roentgenology2020
Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.
Abstract readMulticenter Study
In one paragraph
Article in AJR. American journal of roentgenology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.
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.
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- AI-aided diagnostic performance for prostate MRI: systematic review and meta-analysis.Prostate cancer and prostatic diseases · 2026Pooled it
- Machine learning-based MRI imaging for prostate cancer diagnosis: systematic review and meta-analysis.Prostate cancer and prostatic diseases · 2026Pooled it
- Unassisted Clinicians Versus Deep Learning-Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis.Journal of medical Internet research · 2023Pooled it
- Improving Early Prostate Cancer Detection Through Artificial Intelligence: Evidence from a Systematic Review.Cancers · 2025Review
- A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates.Clinical imaging · 2025Article
- Impact of AI-Generated ADC Maps on Computer-Aided Diagnosis of Prostate Cancer: A Feasibility Study.Academic radiology · 2025Article
- Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review.EClinicalMedicine · 2025Article
- Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic review.BJR artificial intelligence · 2025Article
- Artificial Intelligence in Cancer Diagnosis: A Game-changer in Healthcare.Current pharmaceutical biotechnology · 2025Review
- Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification.Academic radiology · 2024Article
- Evaluating a deep learning AI algorithm for detecting residual prostate cancer on MRI after focal therapy.BJUI compass · 2024Article
- Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI.Radiology · 2024Article
- The Lancet Commission on prostate cancer: planning for the surge in cases.Lancet (London, England) · 2024Review
- Artificial intelligence as diagnostic aiding tool in cases of Prostate Imaging Reporting and Data System category 3: the results of retrospective multi-center cohort study.Abdominal radiology (New York) · 2023Article
- A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer.Life (Basel, Switzerland) · 2023Review
- Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying experience (MULTI study).Insights into imaging · 2023Article
- Research progress on deep learning in magnetic resonance imaging-based diagnosis and treatment of prostate cancer: a review on the current status and perspectives.Frontiers in oncology · 2023Review
- Comparative effectiveness of standard vs. AI-assisted PET/CT reading workflow for pre-treatment lymphoma staging: a multi-institutional reader study evaluation.Frontiers in nuclear medicine · 2023Article
- Developments in proton MR spectroscopic imaging of prostate cancer.Magma (New York, N.Y.) · 2022Review
- Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
38 authors.
Sherif MehralivandDepartment of Urology and Pediatric Urology, University Medical Center, Mainz, Germany.
Stephanie A HarmonClinical Research Directorate, Leidos Biomedical Research, Inc., Frederick, MD.
Joanna H ShihDivision of Cancer Treatment and Diagnosis: Biometric Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD.
Clayton P SmithMolecular Imaging Program, National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892-1088.
Nathan LayMolecular Imaging Program, National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892-1088.
Burak ArgunDepartment of Urology, Acibadem University, Istanbul, Turkey.
Sandra BednarovaDepartment of Radiology, University of Udine, Udine, Italy.
Ronaldo Hueb BaroniDiagnostic Imaging Department, Albert Einstein Hospital, Sao Paolo, Brazil.
Abdullah Erdem CandaDepartment of Urology, Koç University, School of Medicine, Istanbul, Turkey.
Karabekir ErcanDepartment of Radiology, Ankara City Hospital, Ankara, Turkey.
Rossano GiromettiDepartment of Radiology, University of Udine, Udine, Italy.
Ercan KaraarslanDepartment of Radiology, Acibadem University, Istanbul, Turkey.
Ali Riza KuralDepartment of Urology, Acibadem University, Istanbul, Turkey.
Andrei S PuryskoDepartment of Radiology, Cleveland Clinic, Cleveland, OH.
Soroush Rais-BahramiDepartment of Urology, University of Alabama at Birmingham, Birmingham, AL.
Victor Martins TonsoDiagnostic Imaging Department, Albert Einstein Hospital, Sao Paolo, Brazil.
Cristina Magi-GalluzziDepartment of Pathology, Cleveland Clinic, Cleveland, OH.
Jennifer B GordetskyDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL.
Ricardo Silvestre E Silva MacarencoPathology Department, Albert Einstein Hospital, Sao Paolo, Brazil.
Maria J MerinoLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Berrak GumuskayaDepartment of Pathology, Ankara Yildirim Beyazit University, School of Medicine, Ankara, Turkey.
Yesim SaglicanDepartment of Pathology, Acibadem University, Istanbul, Turkey.
Stefano SioleticDepartment of Pathology, University of Udine, Udine, Italy.
Anne Y WarrenDepartment of Pathology, University of Cambridge, Cambridge, UK.
Tristan BarrettDepartment of Radiology, University of Cambridge, Cambridge, UK.
Leonardo BittencourtDepartment of Radiology, Federal Fluminense University, Rio de Janeiro, Brazil.
Mehmet CoskunDepartment of Radiology, University of Health Sciences Dr. Behçet Uz Child Disease and Pediatric Surgery Training and Research Hospital, İzmir, Turkey.
Chris KnaussDepartment of Radiology, Walter Reed Medical Center, Bethesda, MD.
Yan Mee LawDepartment of Radiology, Singapore General Hospital, Singapore.
Ashkan A MalayeriDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.
Daniel J MargolisWeill Cornell Imaging, Cornell University, New York, NY.
Jamie MarkoDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.
Derya YakarDepartment of Radiology, Medical Imaging Centre, Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Bradford J WoodCenter for Interventional Oncology, National Cancer Institute and Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.
Peter A PintoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter L ChoykeMolecular Imaging Program, National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892-1088.
Ronald M SummersNational Institutes of Health Clinical Center, Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Bethesda, MD.
Baris TurkbeyMolecular Imaging Program, National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm B3B85, Bethesda, MD 20892-1088.
Funding
Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7MProstate Cancer ImagingZ01BC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$2.1MSURGICAL PATHOLOGYZ01SC000853 · SC · DIVISION OF CLINICAL SCIENCES - NCI · PI MERINO NEUMANN, MARIA · 1996 to 2008
$823kProstate SectionZ01BC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2008 to 2008
$99kComputer Aided Detection for Radiologic ImagesZIACL040004 · CLC · CLINICAL CENTER · PI SUMMERS, RONALD M. · 2009 to 2025
$0kNavigation Tools for Image Guided Minimally invasive TherapiesZIACL040011 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0kInterventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0kCCR NIH HHS HHSN261200800001CIntramural NIH HHS Z01 BC010655Intramural NIH HHS Z01 BC011081Intramural NIH HHS Z01 SC000853Intramural NIH HHS ZID BC011242NCI NIH HHS HHSN261200800001E
Abstract
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Indexed as
Artificial IntelligenceDiagnosis, Computer-AssistedMultiparametric Magnetic Resonance ImagingAdenocarcinomaAgedAlgorithmsHumansMaleMiddle AgedObserver VariationProstatic NeoplasmsRandom AllocationRetrospective StudiesSensitivity and Specificityartificial intelligencelaparoscopicMRImultiparametricprostate cancerradical prostatectomyrobot-assisted
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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.