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AI decision support for increasing prostate biopsy efficiency: a retrospective multicentre, multiscanner study
0
Zitationen
25
Autoren
2026
Jahr
Abstract
Question Current prostate cancer diagnostic pathways result in fewer unnecessary biopsies. Can an AI decision support system (AI-DSS) further improve biopsy efficiency for detecting significant cancer? Findings An AI-DSS avoided 28 biopsies in a 252-patient cohort, increasing grade selectivity, biopsy efficiency, and selective biopsy avoidance by 70%, 79%, and 143%, respectively. Clinical relevance Integrating an AI-DSS into clinical workflows may further reduce unnecessary prostate biopsies and overdiagnosis of indolent disease, thus potentially improving the efficiency of the prostate cancer diagnostic pathway.
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Autoren
- Nikita Sushentsev
- Zobair Arya
- Jobie Budd
- Amy Frary
- Nádia Moreira da Silva
- Juan Peng
- Paul Burn
- R.G. Hindley
- N Vasdev
- Mohamed Ibrahim
- Alison Bradley
- Adrian Andreou
- Sidath H. Liyanage
- Raj Persad
- Jonathan Aning
- Alexander B. C. D. Ng
- Aqua Asif
- Derek J. Lomas
- Tristan Barrett
- Mark Hinton
- Anwar Roshanali Padhani
- Aarti Abhishek Shah
- Lucy Davies
- Antony W. Rix
- Evis Sala
Institutionen
- Addenbrooke's Hospital(GB)
- Taunton & Somerset NHS Foundation Trust(GB)
- Somerset NHS Foundation Trust
- University of Winchester(GB)
- Hampshire Hospitals NHS Foundation Trust(GB)
- University of Hertfordshire(GB)
- Lister Hospital(GB)
- East and North Hertfordshire NHS Trust(GB)
- Royal Cornwall Hospital Trust(GB)
- Royal Cornwall Hospital(GB)
- Royal United Hospital Bath NHS Trust(GB)
- Torbay and South Devon NHS Foundation Trust(GB)
- North Bristol NHS Trust(GB)
- Prostate Cancer Research(GB)
- University College London(GB)
- University College London Hospitals NHS Foundation Trust(GB)
- University of Cambridge(GB)
- Mount Vernon Hospital(GB)
- Università Cattolica del Sacro Cuore(IT)
- Agostino Gemelli University Polyclinic(IT)
- Istituti di Ricovero e Cura a Carattere Scientifico(IT)