The Clinical, Histological, and Immunohistochemical Features of Bone Metastases - A Review

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Abstract

Malignant tumors can spread differently, and bone metastasis is a complex process starting years before detection. Cancerous cells adhere in bone marrow spaces, growing undetected. Immunohistochemistry helps diagnose, but up to 30% have unidentified bone metastases despite tests and imaging. This review study introduces a deep learning model (DL-BM) to trace bone metastasis genesis, aiding pathologists when biopsy alone is insufficient. Clinicopathological analysis identifies the main carcinoma site in metastases with unclear origins. Thorough histological examinations of bone biopsies are crucial for suspecting the primary cancer. This review emphasizes using bone degradation indicators to identify bone metastases, tracking disease development, and monitoring treatment response.
骨转移瘤的临床、组织学和免疫组化特征 - 综述
恶性肿瘤的扩散方式各不相同,骨转移是一个复杂的过程,在发现前数年就已开始。癌细胞附着在骨髓间隙中,在未被发现的情况下生长。免疫组化有助于诊断,但多达30%的骨转移患者尽管进行了检测和成像,却仍无法发现。本综述研究引入了一种深度学习模型(DL-BM)来追踪骨转移瘤的成因,在仅靠活组织检查不足以确诊时为病理学家提供帮助。临床病理分析可确定来源不明的转移瘤的主要癌变部位。对骨活检进行彻底的组织学检查是怀疑原发癌的关键。本综述强调使用骨降解指标来识别骨转移灶、跟踪疾病发展和监测治疗反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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