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国际共识基于机器学习分析的异常多中心卡斯特曼病亚型化组织病理学标准

Midori Filiz Nishimura1,2, Tomoka Haratake1, Yoshito Nishimura3,4

  • 1Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences, Okayama, Japan.

American journal of hematology
|June 20, 2025
PubMed
概括

一个新的组织病理学分类系统准确地分类异常多中心卡斯特曼病 (iMCD) 的亚型,区分IPL和TAFRO亚型. 这有助于对这种罕见的淋巴增殖性疾病的诊断和治疗预测.

关键词:
临床亚型 临床亚型组织病理学标准 组织病理学标准异常多中心的卡斯特曼病异常多中心的卡斯特曼病.淋巴增殖性疾病是一种淋巴增殖性疾病.机器学习就是机器学习.

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