Independent real-world application of a clinical-grade automated prostate cancer detection system.
Independent real-world application of a clinical-grade automated prostate cancer detection system.
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临床级自动前列腺癌检测系统的独立现实应用。
DOI：
10.1002/path.5662
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发表时间：
2021-06
期刊：
影响因子：
--
通讯作者：
Reis-Filho JS
中科院分区：
文献类型：
--
作者：
da Silva LM;Pereira EM;Salles PG;Godrich R;Ceballos R;Kunz JD;Casson A;Viret J;Chandarlapaty S;Ferreira CG;Ferrari B;Rothrock B;Raciti P;Reuter V;Dogdas B;DeMuth G;Sue J;Kanan C;Grady L;Fuchs TJ;Reis-Filho JS
用于组织病理学的基于人工智能（AI）的系统可以通过减轻诊断可变性，组织病理学案件和病理学家的短缺来改善患者护理。自动前列腺癌检测系统，Paige前列腺，将算法应用于独立的现实世界中。需要进一步审查）或可疑（需要的其他组织学和/或免疫组织化学分析）。和Paige前列腺诊断为600个经直肠超声引导的前列腺核心活检区域（“零件分泌”），并确定Paige诊断准确性和效率患者水平，Paige前列腺表现出最佳灵敏度（1.0; CI 0.93-1.0）和NPV（1.0; CI 0.91-1.0）的特异性为0.78（CI） 0.64–0.89）。 （n = 9），腺病（n = 2）和养生后的增生（n = 1）。此外，这种基于AI的测试估计鉴于其最佳敏感性和NPV，估计减少了65.5％的诊断时间。除了提供诊断准确性和效率的增量外，该AI基于AI的系统还确定了前列腺癌不是最初由三位经验丰富的组织病理学家诊断。©2021作者。
Artificial intelligence (AI)‐based systems applied to histopathology whole‐slide images have the potential to improve patient care through mitigation of challenges posed by diagnostic variability, histopathology caseload, and shortage of pathologists. We sought to define the performance of an AI‐based automated prostate cancer detection system, Paige Prostate, when applied to independent real‐world data. The algorithm was employed to classify slides into two categories: benign (no further review needed) or suspicious (additional histologic and/or immunohistochemical analysis required). We assessed the sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs) of a local pathologist, two central pathologists, and Paige Prostate in the diagnosis of 600 transrectal ultrasound‐guided prostate needle core biopsy regions (‘part‐specimens’) from 100 consecutive patients, and to ascertain the impact of Paige Prostate on diagnostic accuracy and efficiency. Paige Prostate displayed high sensitivity (0.99; CI 0.96–1.0), NPV (1.0; CI 0.98–1.0), and specificity (0.93; CI 0.90–0.96) at the part‐specimen level. At the patient level, Paige Prostate displayed optimal sensitivity (1.0; CI 0.93–1.0) and NPV (1.0; CI 0.91–1.0) at a specificity of 0.78 (CI 0.64–0.89). The 27 part‐specimens considered by Paige Prostate as suspicious, whose final diagnosis was benign, were found to comprise atrophy (n = 14), atrophy and apical prostate tissue (n = 1), apical/benign prostate tissue (n = 9), adenosis (n = 2), and post‐atrophic hyperplasia (n = 1). Paige Prostate resulted in the identification of four additional patients whose diagnoses were upgraded from benign/suspicious to malignant. Additionally, this AI‐based test provided an estimated 65.5% reduction of the diagnostic time for the material analyzed. Given its optimal sensitivity and NPV, Paige Prostate has the potential to be employed for the automated identification of patients whose histologic slides could forgo full histopathologic review. In addition to providing incremental improvements in diagnostic accuracy and efficiency, this AI‐based system identified patients whose prostate cancers were not initially diagnosed by three experienced histopathologists. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
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影响因子：
3.4
作者：
Cree IA;Deans Z;Ligtenberg MJ;Normanno N;Edsjö A;Rouleau E;Solé F;Thunnissen E;Timens W;Schuuring E;Dequeker E;Murray S;Dietel M;Groenen P;Van Krieken JH;European Society of Pathology Task Force on Quality Assurance in Molecular Pathology;Royal College of Pathologists
通讯作者：
Royal College of Pathologists
影响因子：
4.6
作者：
Yang, Chen;Humphrey, Peter A.
通讯作者：
Humphrey, Peter A.
影响因子：
7.5
作者：
Raciti, Patricia;Sue, Jillian;Ceballos, Rodrigo;Godrich, Ran;Kunz, Jeremy D.;Kapur, Supriya;Reuter, Victor;Grady, Leo;Kanan, Christopher;Klimstra, David S.;Fuchs, Thomas J.
通讯作者：
Fuchs, Thomas J.
影响因子：
3.8
作者：
Howlader, Nupur Rani;Rahman, Md. Mostafizur;Rahman, Md. Mustafizur
通讯作者：
Rahman, Md. Mustafizur
影响因子：
4.6
作者：
Hitchcock, Charles L.
通讯作者：
Hitchcock, Charles L.