从形态学到基因表达在真菌菌菌病中的描述:它仍然是一个诊断挑战吗?
Alessandra Filosa1, Gerardo Cazzato2, Elisa Bartoli3
1Biomedical Science a Public Health Department, Section of Pathological Anatomy, Polytechnic University of Marche Region, 60121 Ancona, Italy.
Diagnostics (Basel, Switzerland)
|May 14, 2025
概括
菌根性菌病 (MF) 的诊断仍然具有挑战性,因为其呈现方式可变. 整合临床病理学数据和探索AI可能会改善早期检测和了解这种皮肤淋巴瘤.
科学领域:
- 皮肤病理学 皮肤病理学
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
背景情况:
- 菌根性菌 (MF) 呈现出复杂的临床病理特征.
- 对于MF来说,正在出现创新的治疗策略.
- 皮肤淋巴瘤是人工智能 (AI) 应用的一个新领域.
研究的目的:
- 审查真菌菌菌病的关键临床病理学方面.
- 讨论MF的创新治疗方案.
- 突出AI在诊断和管理皮肤淋巴瘤方面的潜力.
主要方法:
- 对MF的诊断和预后数据的文献综述.
- 分析与深度学习相关的组织学特征.
- 临床数据与组织学发现的整合用于AI应用.
主要成果:
- 在皮肤病理学中,MF诊断仍然是一个重大挑战.
- 在MF中,遗传变化主要在晚期阶段被观察到.
- 全基因组基因表达分析和人工智能可能有助于MF病变研究和早期诊断.
结论:
- 在临床上和本病理上,Mycosis fungoides 是一个"伟大的模仿者".
- 准确的诊断,特别是在早期,需要全面的临床病理相关性.
- 对辅助研究的常见陈述,特征和上下文解释的认识对于MF诊断至关重要.
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