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马吉方程在乳腺癌预后评估中的临床意义。

The Clinical Significance of the Magee Equations in Breast Cancer Prognostication.

作者信息

Bal Shubhneet, Kumari Roopa

机构信息

Pathology, Danbury Hospital, Danbury, USA.

Pathology, Mount Sinai Morningside, New York, USA.

出版信息

Cureus. 2025 Mar 31;17(3):e81528. doi: 10.7759/cureus.81528. eCollection 2025 Mar.

Abstract

The landscape of breast cancer management has been revolutionized by advancements in molecular diagnostics, yet accessibility and cost remain significant barriers for many patients. Limited-resource settings often face significant challenges in accessing expensive molecular tests, which can impact timely diagnosis and treatment decisions. The Magee equations present a practical, cost-effective solution that can bridge this gap, ensuring that patients, regardless of their financial or geographic limitations, receive appropriate and timely treatment. Originally developed at the University of Pittsburgh Medical Center, these equations offer a reliable alternative for estimating recurrence scores without the prohibitive costs associated with genomic assays.

摘要

分子诊断学的进步彻底改变了乳腺癌的治疗格局,但可及性和成本对许多患者来说仍然是重大障碍。资源有限的地区在获取昂贵的分子检测方面往往面临巨大挑战,这可能会影响及时诊断和治疗决策。马吉方程提供了一种实用、具有成本效益的解决方案,可以弥合这一差距,确保患者无论其经济或地理限制如何,都能得到适当和及时的治疗。这些方程最初由匹兹堡大学医学中心开发,为估计复发分数提供了一种可靠的替代方法,而无需承担与基因组检测相关的高昂成本。

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