Beyond the Tumor: Recurrence-Prone Radiomics for Prognostication in Negative PSMA PET/CT scans of Prostate Cancer
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| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866908901825314816 |
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| author | Yousefirizi, Fereshteh Harsini, Sara Mohebi, Mobin Alberts, Ian Yusufaly, Tahir Luo, Monica Abdollahi, Hamid Yazdani, Elmira Mirabedin, Soheila Sabouri, Maziar Geramifar, Parham Sheikhzadeh, Peyman Martineau, Patrick Wilson, Don Benard, Francois Uribe, Carlos Rahmim, Arman |
| author_facet | Yousefirizi, Fereshteh Harsini, Sara Mohebi, Mobin Alberts, Ian Yusufaly, Tahir Luo, Monica Abdollahi, Hamid Yazdani, Elmira Mirabedin, Soheila Sabouri, Maziar Geramifar, Parham Sheikhzadeh, Peyman Martineau, Patrick Wilson, Don Benard, Francois Uribe, Carlos Rahmim, Arman |
| contents | In patients with biochemical recurrence of prostate cancer and negative PSMA PET/CT, radiomics features extracted from recurrence-prone organs can predict clinical progression and progression-free survival. In a cohort of 132 patients, combining PET/CT radiomics with clinical variables significantly improved prognostic performance (C-index 0.74 vs. 0.65). Model performance was influenced by reader diagnostic certainty and remained robust on external validation. These findings suggest that radiomics from visually negative scans capture subclinical disease and provide added value for risk stratification. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_19368 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Beyond the Tumor: Recurrence-Prone Radiomics for Prognostication in Negative PSMA PET/CT scans of Prostate Cancer Yousefirizi, Fereshteh Harsini, Sara Mohebi, Mobin Alberts, Ian Yusufaly, Tahir Luo, Monica Abdollahi, Hamid Yazdani, Elmira Mirabedin, Soheila Sabouri, Maziar Geramifar, Parham Sheikhzadeh, Peyman Martineau, Patrick Wilson, Don Benard, Francois Uribe, Carlos Rahmim, Arman Medical Physics In patients with biochemical recurrence of prostate cancer and negative PSMA PET/CT, radiomics features extracted from recurrence-prone organs can predict clinical progression and progression-free survival. In a cohort of 132 patients, combining PET/CT radiomics with clinical variables significantly improved prognostic performance (C-index 0.74 vs. 0.65). Model performance was influenced by reader diagnostic certainty and remained robust on external validation. These findings suggest that radiomics from visually negative scans capture subclinical disease and provide added value for risk stratification. |
| title | Beyond the Tumor: Recurrence-Prone Radiomics for Prognostication in Negative PSMA PET/CT scans of Prostate Cancer |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2603.19368 |