Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments

被引:7
作者
Farris, Alton B. [1 ]
Alexander, Mariam P. [2 ]
Balis, Ulysses G. J. [3 ]
Barisoni, Laura [4 ]
Boor, Peter [5 ,6 ]
Buelow, Roman D. [5 ]
Cornell, Lynn D. [2 ]
Demetris, Anthony J. [7 ]
Farkash, Evan [3 ]
Hermsen, Meyke [8 ]
Hogan, Julien [1 ,9 ]
Kain, Renate [10 ]
Kers, Jesper [11 ,12 ]
Kong, Jun [13 ,14 ]
Levenson, Richard M. [15 ]
Loupy, Alexandre [16 ,17 ]
Naesens, Maarten [18 ]
Sarder, Pinaki [19 ]
Tomaszewski, John E. [20 ]
van der Laak, Jeroen [8 ,21 ]
van Midden, Dominique [8 ]
Yagi, Yukako [22 ]
Solez, Kim [23 ]
机构
[1] Emory Univ, Dept Pathol & Lab Med, Atlanta, GA 30322 USA
[2] Mayo Clin, Dept Lab Med & Pathol, Rochester, MN USA
[3] Univ Michigan, Dept Pathol, Ann Arbor, MI USA
[4] Duke Univ, Dept Pathol & Med, Durham, NC USA
[5] Rhein Westfal TH RWTH Aachen Univ Clin, Inst Pathol, Aachen, Germany
[6] RWTH Aachen Univ Clin, Dept Nephrol & Immunol, Aachen, Germany
[7] Univ Pittsburgh, Dept Pathol, Pittsburgh, PA USA
[8] Radboud Univ Nijmegen, Dept Pathol, Med Ctr, Nijmegen, Netherlands
[9] Univ Paris, Robert Debre Hosp, Nephrol Serv, Paris, France
[10] Med Univ Vienna, Dept Pathol, Vienna, Austria
[11] Univ Amsterdam, Dept Pathol, Med Ctr, Amsterdam, Netherlands
[12] Leiden Univ, Dept Pathol, Med Ctr, Leiden, Netherlands
[13] Georgia State Univ, Atlanta, GA USA
[14] Emory Univ, Atlanta, GA USA
[15] Univ Calif Davis Hlth Syst, Dept Pathol, Sacramento, CA USA
[16] Univ Paris, Hop Necker, Assistance Publ Hop Paris, Inst Natl Sante & Rech Med,UMR 970,Paris Translat, Paris, France
[17] Univ Paris, Hop Necker, Assistance Publ Hop Paris, Kidney Transplant Dept, Paris, France
[18] Katholieke Univ Leuven, Dept Microbiol Immunol & Transplantat, Leuven, Belgium
[19] Univ Florida Gainesville, Coll Med, Intelligent Crit Care Ctr, Dept Med,Div Nephrol Hypertens & Renal Transplant, Gainesville, FL USA
[20] SUNY Buffalo, Dept Pathol, Buffalo, NY USA
[21] Linkoping Univ, Ctr Med Image Sci & Visualizat, Linkoping, Sweden
[22] Mem Sloan Kettering Canc Ctr, New York, NY USA
[23] Univ Alberta, Dept Pathol, Edmonton, AB, Canada
基金
欧洲研究理事会; 美国国家卫生研究院;
关键词
Banff; digital pathology; artificial intelligence; machine learning; image analysis; COMPUTATIONAL PATHOLOGY; DEEP; DEPLOYMENT;
D O I
10.3389/ti.2023.11783
中图分类号
R61 [外科手术学];
学科分类号
摘要
The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists' visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community.
引用
收藏
页数:9
相关论文
共 44 条
[1]   Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association [J].
Abels, Esther ;
Pantanowitz, Liron ;
Aeffner, Famke ;
Zarella, Mark D. ;
van der Laak, Jeroen ;
Bui, Marilyn M. ;
Vemuri, Venkata N. P. ;
Parwani, Anil V. ;
Gibbs, Jeff ;
Agosto-Arroyo, Emmanuel ;
Beck, Andrew H. ;
Kozlowski, Cleopatra .
JOURNAL OF PATHOLOGY, 2019, 249 (03) :286-294
[2]   Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review [J].
Ahmad, Zubair ;
Rahim, Shabina ;
Zubair, Maha ;
Abdul-Ghafar, Jamshid .
DIAGNOSTIC PATHOLOGY, 2021, 16 (01)
[3]  
Allan C, 2012, NAT METHODS, V9, P245, DOI [10.1038/nmeth.1896, 10.1038/NMETH.1896]
[4]   From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge [J].
Bandi, Peter ;
Geessink, Oscar ;
Manson, Quirine ;
van Dijk, Marcory ;
Balkenhol, Maschenka ;
Hermsen, Meyke ;
Bejnordi, Babak Ehteshami ;
Lee, Byungjae ;
Paeng, Kyunghyun ;
Zhong, Aoxiao ;
Li, Quanzheng ;
Zanjani, Farhad Ghazvinian ;
Zinger, Svitlana ;
Fukuta, Keisuke ;
Komura, Daisuke ;
Ovtcharov, Vlado ;
Cheng, Shenghua ;
Zeng, Shaoqun ;
Thagaard, Jeppe ;
Dahl, Anders B. ;
Lin, Huangjing ;
Chen, Hao ;
Jacobsson, Ludwig ;
Hedlund, Martin ;
Cetin, Melih ;
Halici, Eren ;
Jackson, Hunter ;
Chen, Richard ;
Both, Fabian ;
Franke, Joerg ;
Kusters-Vandevelde, Heidi ;
Vreuls, Willem ;
Bult, Peter ;
van Ginneken, Bram ;
van der Laak, Jeroen ;
Litjens, Geert .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 38 (02) :550-560
[5]   Digital pathology and computational image analysis in nephropathology [J].
Barisoni, Laura ;
Lafata, Kyle J. ;
Hewitt, Stephen M. ;
Madabhushi, Anant ;
Balis, Ulysses G. J. .
NATURE REVIEWS NEPHROLOGY, 2020, 16 (11) :669-685
[6]   Artificial intelligence and machine learning in nephropathology [J].
Becker, Jan U. ;
Mayerich, David ;
Padmanabhan, Meghana ;
Barratt, Jonathan ;
Ernst, Angela ;
Boor, Peter ;
Cicalese, Pietro A. ;
Mohan, Chandra ;
Nguyen, Hien V. ;
Roysam, Badrinath .
KIDNEY INTERNATIONAL, 2020, 98 (01) :65-75
[7]   Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer [J].
Bejnordi, Babak Ehteshami ;
Veta, Mitko ;
van Diest, Paul Johannes ;
van Ginneken, Bram ;
Karssemeijer, Nico ;
Litjens, Geert ;
van der Laak, Jeroen A. W. M. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (22) :2199-2210
[8]   Artificial intelligence in nephropathology [J].
Boor, Peter .
NATURE REVIEWS NEPHROLOGY, 2020, 16 (01) :4-6
[9]   Stain-Independent Deep Learning-Based Analysis of Digital Kidney Histopathology [J].
Bouteldja, Nassim ;
Hoelscher, David Laurin ;
Klinkhammer, Barbara Mara ;
Buelow, Roman David ;
Lotz, Johannes ;
Weiss, Nick ;
Daniel, Christoph ;
Amann, Kerstin ;
Boor, Peter .
AMERICAN JOURNAL OF PATHOLOGY, 2023, 193 (01) :73-83
[10]   The potential of artificial intelligence-based applications in kidney pathology [J].
Buellow, Roman D. ;
Marsh, Jon N. ;
Swamidass, S. Joshua ;
Gaut, Joseph P. ;
Boor, Peter .
CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION, 2022, 31 (03) :251-257