A review of artificial intelligence in prostate cancer detection on imaging.

IF 4.7 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-10-10 eCollection Date: 2022-01-01 DOI:10.1177/17562872221128791

Indrani Bhattacharya, Yash S Khandwala, Sulaiman Vesal, Wei Shao, Qianye Yang, Simon J C Soerensen, Richard E Fan, Pejman Ghanouni, Christian A Kunder, James D Brooks, Yipeng Hu, Mirabela Rusu, Geoffrey A Sonn

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Abstract

A multitude of studies have explored the role of artificial intelligence (AI) in providing diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection, risk-stratification, and management. This review provides a comprehensive overview of relevant literature regarding the use of AI models in (1) detecting prostate cancer on radiology images (magnetic resonance and ultrasound imaging), (2) detecting prostate cancer on histopathology images of prostate biopsy tissue, and (3) assisting in supporting tasks for prostate cancer detection (prostate gland segmentation, MRI-histopathology registration, MRI-ultrasound registration). We discuss both the potential of these AI models to assist in the clinical workflow of prostate cancer diagnosis, as well as the current limitations including variability in training data sets, algorithms, and evaluation criteria. We also discuss ongoing challenges and what is needed to bridge the gap between academic research on AI for prostate cancer and commercial solutions that improve routine clinical care.

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人工智能在前列腺癌成像检测中的应用综述。

大量研究探讨了人工智能（AI）在为放射科医生、病理科医生和泌尿科医生提供前列腺癌检测、风险分级和管理方面的诊断支持中的作用。本综述全面概述了人工智能模型在以下方面应用的相关文献：(1) 在放射学图像（磁共振和超声成像）上检测前列腺癌；(2) 在前列腺活检组织的组织病理学图像上检测前列腺癌；(3) 协助支持前列腺癌检测任务（前列腺腺体分割、磁共振成像-组织病理学配准、磁共振成像-超声配准）。我们既讨论了这些人工智能模型在协助前列腺癌诊断临床工作流程方面的潜力，也讨论了目前存在的局限性，包括训练数据集、算法和评估标准方面的差异。我们还讨论了当前面临的挑战，以及如何缩小前列腺癌人工智能学术研究与改善常规临床护理的商业解决方案之间的差距。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.