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Grant: Project Grant

Queen's University (Kingston, Ontario)

$1,151,326.00

PROPEL-AS: Prostate personalized surveillance using pathology-aligned multi-modal imaging

EF 2025-26

Résumé
Prostate cancer is one of the most commonly diagnosed cancers in Canadian men. Many men with low-risk disease are managed with active surveillance (AS) to avoid overtreatment, but AS relies on repeated prostate biopsies to catch progression. Biopsies are invasive, can cause infection and bleeding, and the burden of repeat procedures can reduce adherence over time. We need a safer, patient-specific way to monitor men on AS that can reduce unnecessary biopsies while still detecting clinically significant progression early. Multiparametric MRI and micro-ultrasound (a high-resolution ultrasound used in real time) can highlight suspicious areas, but neither is accurate enough to replace biopsy. They are also usually interpreted separately, which can leave uncertainty when results disagree or when benign conditions mimic cancer. We propose PROPEL-AS (Prostate Personalized Active Surveillance using Pathology-aligned Multimodal Imaging), an artificial intelligence (AI) decision-support system that integrates MRI and micro-ultrasound information over time, together with PSA density and prior biopsy findings. A key innovation is pathology alignment, where the AI will be trained so its imaging outputs match patterns seen by pathologists in prostate tissue. Our objective is to identify a low-risk subgroup in whom biopsy intervals can be safely extended, while maintaining high sensitivity for detecting progression to clinically significant cancer. Using multi-centre datasets, we will develop and validate PROPEL-AS, integrate it into the micro-ultrasound workflow, and evaluate it prospectively in a two-centre silent mode study where usual care is unchanged while the system's predictions are tested. PROPEL-AS will be used as a second reader to support clinician decision making. This work is expected to reduce unnecessary biopsies and improve adherence to AS, therefore increase survival with higher quality of life.
Programme
Project Grant
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
565015
Name
Mousavi Parvin
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Medical Physics & Imaging
Projecttitle
PROPEL-AS: Prostate personalized surveillance using pathology-aligned multi-modal imaging
Programtype2
Operating Grants
Orgnameinp2
Queen's University (Kingston, Ontario)
Cihramount2
$1,151,326
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Cancer Imaging; Explainability; Interpretability; Machine Learning; Micro-Ultrasound; Multi-Modal Data; Prostate Cancer Diagnosis And Surveillance; Ultrasound Imaging
Abstract
Prostate cancer is one of the most commonly diagnosed cancers in Canadian men. Many men with low-risk disease are managed with active surveillance (AS) to avoid overtreatment, but AS relies on repeated prostate biopsies to catch progression. Biopsies are invasive, can cause infection and bleeding, and the burden of repeat procedures can reduce adherence over time. We need a safer, patient-specific way to monitor men on AS that can reduce unnecessary biopsies while still detecting clinically significant progression early. Multiparametric MRI and micro-ultrasound (a high-resolution ultrasound used in real time) can highlight suspicious areas, but neither is accurate enough to replace biopsy. They are also usually interpreted separately, which can leave uncertainty when results disagree or when benign conditions mimic cancer. We propose PROPEL-AS (Prostate Personalized Active Surveillance using Pathology-aligned Multimodal Imaging), an artificial intelligence (AI) decision-support system that integrates MRI and micro-ultrasound information over time, together with PSA density and prior biopsy findings. A key innovation is pathology alignment, where the AI will be trained so its imaging outputs match patterns seen by pathologists in prostate tissue. Our objective is to identify a low-risk subgroup in whom biopsy intervals can be safely extended, while maintaining high sensitivity for detecting progression to clinically significant cancer. Using multi-centre datasets, we will develop and validate PROPEL-AS, integrate it into the micro-ultrasound workflow, and evaluate it prospectively in a two-centre silent mode study where usual care is unchanged while the system's predictions are tested. PROPEL-AS will be used as a second reader to support clinician decision making. This work is expected to reduce unnecessary biopsies and improve adherence to AS, therefore increase survival with higher quality of life.
Competitiondate
202603
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Mousavi, Parvin; Abolmaesumi, Purang; Mannas, Miles P
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,151,326~ $0~