Midori Filiz Nishimura, Tomoka Haratake, Yoshito Nishimura, Asami Nishikori, Remi Sumiyoshi, Hideki Ujiie, Yuri Kawahara, Tomohiro Koga, Masao Ueki, Dorottya Laczko, Eric Oksenhendler, David C. Fajgenbaum, Frits van Rhee, Atsushi Kawakami, Yasuharu Sato
{"title":"International Consensus Histopathological Criteria for Subtyping Idiopathic Multicentric Castleman Disease Based on Machine Learning Analysis","authors":"Midori Filiz Nishimura, Tomoka Haratake, Yoshito Nishimura, Asami Nishikori, Remi Sumiyoshi, Hideki Ujiie, Yuri Kawahara, Tomohiro Koga, Masao Ueki, Dorottya Laczko, Eric Oksenhendler, David C. Fajgenbaum, Frits van Rhee, Atsushi Kawakami, Yasuharu Sato","doi":"10.1002/ajh.27743","DOIUrl":null,"url":null,"abstract":"Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder classified into three recognized clinical subtypes—idiopathic plasmacytic lymphadenopathy (IPL), TAFRO, and NOS. Although clinical criteria are available for subtyping, diagnostically challenging cases with overlapping histopathological features highlight the need for an improved classification system integrating clinical and histopathological findings. We aimed to develop an objective histopathological subtyping system for iMCD that closely correlates with the clinical subtypes. Excisional lymph node specimens from 94 Japanese iMCD patients (54 IPL, 28 TAFRO, 12 NOS) were analyzed for five key histopathological parameters: germinal center (GC) status, plasmacytosis, vascularity, hemosiderin deposition, and “whirlpool” vessel formation in GC. Using hierarchical clustering, we visualized subgroups and developed a machine learning‐based decision tree to differentiate the clinical subtypes and validated it in an external cohort of 12 patients with iMCD. Hierarchical cluster analysis separated the IPL and TAFRO cases into mutually exclusive clusters, whereas the NOS cases were interspersed between them. Decision tree modeling identified plasmacytosis, vascularity, and whirlpool vessel formation as key features distinguishing IPL from TAFRO, achieving 91% and 92% accuracy in the training and test sets, respectively. External validation correctly classified all IPL and TAFRO cases, confirming the reproducibility of the system. Our histopathological classification system closely aligns with the clinical subtypes, offering a more precise approach to iMCD subtyping. It may enhance diagnostic accuracy, guide clinical decision‐making for predicting treatment response in challenging cases, and improve patient selection for future research. Further validation of its versatility and clinical utility is required.","PeriodicalId":7724,"journal":{"name":"American Journal of Hematology","volume":"45 1","pages":""},"PeriodicalIF":10.1000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Hematology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ajh.27743","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder classified into three recognized clinical subtypes—idiopathic plasmacytic lymphadenopathy (IPL), TAFRO, and NOS. Although clinical criteria are available for subtyping, diagnostically challenging cases with overlapping histopathological features highlight the need for an improved classification system integrating clinical and histopathological findings. We aimed to develop an objective histopathological subtyping system for iMCD that closely correlates with the clinical subtypes. Excisional lymph node specimens from 94 Japanese iMCD patients (54 IPL, 28 TAFRO, 12 NOS) were analyzed for five key histopathological parameters: germinal center (GC) status, plasmacytosis, vascularity, hemosiderin deposition, and “whirlpool” vessel formation in GC. Using hierarchical clustering, we visualized subgroups and developed a machine learning‐based decision tree to differentiate the clinical subtypes and validated it in an external cohort of 12 patients with iMCD. Hierarchical cluster analysis separated the IPL and TAFRO cases into mutually exclusive clusters, whereas the NOS cases were interspersed between them. Decision tree modeling identified plasmacytosis, vascularity, and whirlpool vessel formation as key features distinguishing IPL from TAFRO, achieving 91% and 92% accuracy in the training and test sets, respectively. External validation correctly classified all IPL and TAFRO cases, confirming the reproducibility of the system. Our histopathological classification system closely aligns with the clinical subtypes, offering a more precise approach to iMCD subtyping. It may enhance diagnostic accuracy, guide clinical decision‐making for predicting treatment response in challenging cases, and improve patient selection for future research. Further validation of its versatility and clinical utility is required.
期刊介绍:
The American Journal of Hematology offers extensive coverage of experimental and clinical aspects of blood diseases in humans and animal models. The journal publishes original contributions in both non-malignant and malignant hematological diseases, encompassing clinical and basic studies in areas such as hemostasis, thrombosis, immunology, blood banking, and stem cell biology. Clinical translational reports highlighting innovative therapeutic approaches for the diagnosis and treatment of hematological diseases are actively encouraged.The American Journal of Hematology features regular original laboratory and clinical research articles, brief research reports, critical reviews, images in hematology, as well as letters and correspondence.