Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on 18F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort.
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| Title: | Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on 18F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort. |
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| Authors: | Islam MZ; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Perk TG; AIQ Solutions, Madison, WI 53717, USA., Weisman A; AIQ Solutions, Madison, WI 53717, USA., Markowski MC; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA., Pienta KJ; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA., Whang YE; Division of Oncology, Department of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA., Milowsky MI; Division of Oncology, Department of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA., Pomper MG; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Wisniewski N; Department of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA., Bundschuh RA; Department of Nuclear Medicine, Universitätsklinikum Carl Gustav Carus at the TU Dresden, 01307 Dresden, Germany.; German Cancer Consortium (DKTK), Partner Site Dresden, 01307 Dresden, Germany., Werner RA; Department of Nuclear Medicine, LMU University Hospital, LMU Munich, 80539 Munich, Germany., Gorin MA; Milton and Carroll Petrie Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA., Rowe SP; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. |
| Source: | Tomography (Ann Arbor, Mich.) [Tomography] 2026 Mar 11; Vol. 12 (3). Date of Electronic Publication: 2026 Mar 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101671170 Publication Model: Electronic Cited Medium: Internet ISSN: 2379-139X (Electronic) Linking ISSN: 23791381 NLM ISO Abbreviation: Tomography Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2379-139X |
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| DOI: | 10.3390/tomography12030038 |
