Evidence map›Paper›PMID 42415410›Full record

ArticleMedical physics2026

A computer-aided diagnosis tool in prostate cancer patients with biochemical recurrence using 18F-PSMA PET/CT imaging.

Ioanna Stamouli, Ilias Gatos, Theodoros Kalathas, Stavros Tsantis, Lydia-Aggeliki Zoglopitou, Paraskevi F Katsakiori, Nikolaos Papathanasiou, Anna Makridou, Vassiliki Chatzipavlidou, John D Hazle and 1 more

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Article in Medical physics, 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ioanna Stamouli3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
Ilias Gatos3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
Theodoros KalathasNuclear Medicine Department, Cancer Hospital of Thessaloniki Theagenio, Thessaloniki, Greece.
Stavros Tsantis3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
Lydia-Aggeliki ZoglopitouNuclear Medicine Department, Cancer Hospital of Thessaloniki Theagenio, Thessaloniki, Greece.
Paraskevi F Katsakiori3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
Nikolaos PapathanasiouDepartment of Nuclear Medicine, School of Medicine, University of Patras, Rion, Greece.
Anna MakridouNuclear Medicine Department, Cancer Hospital of Thessaloniki Theagenio, Thessaloniki, Greece.
Vassiliki ChatzipavlidouNuclear Medicine Department, Cancer Hospital of Thessaloniki Theagenio, Thessaloniki, Greece.
John D HazleDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
George C Kagadis3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.

Funding

European Regional Development Fund, Greek General Secretariat for Research and Innovation, Operational Programme "Competitiveness, Entrepreneurship and Innovation" under the frame of ERA PerMed POPEYET11EPA4-00055European Union's Horizon 2020 research and innovation programme 872735Hellenic Foundation for Research and Innovation under the 2nd call for HFRI research projects to support faculty members & researchers 2692
6 · The paper itself

Abstract

backgroundProstate cancer (PCa) patients frequently experience biochemical recurrence (BCR) following definitive primary treatment. Although fluorine-18-labeled prostate-specific membrane antigen positron emission tomography/computed tomography ( PURPOSE: The purpose of this study was to develop a computer-aided diagnosis (CAD) system for classifying benign and malignant findings on

methodsA dataset of 69 patients with PCa and BCR who underwent

resultsFor task 1, the stacking ensemble model achieved an accuracy of 92.5% (SD, 3.5%), sensitivity of 92.3% (SD, 4.6%), specificity of 93.0% (SD, 9.2%), and an area under the receiver operating characteristic curve (AUROC) of 0.97. For task 2, performance was similar: accuracy, 91.7% (SD, 5.2%); sensitivity, 93.8% (SD, 4.5%); specificity, 85.8% (SD, 8.6%); and AUROC, 0.97. Feature-importance analysis revealed that raw intensity magnitude and spatial gradients along the x-axis were the most discriminative features for classification.

conclusionsThe proposed CAD system achieved highly accurate classification of

Indexed as

Diagnosis, Computer-AssistedEdetic AcidPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedHumansImage Processing, Computer-AssistedMaleRecurrenceEdetic AcidCADprostate cancerPSMA

Identifiers

PMID42415410
PMCPMC13342488

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