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Nature communications · 2025

Multi-institutional atlas of brain metastases informs spatial modeling for precision imaging and personalized therapy.

СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Barrios Jorge, Porter Evan, Capaldi Dante P I, Upadhaya Taman, Chen William C, Perks Julian R, Apte Aditya, Aristophanous Michalis, LoCastro Eve, Hsu Dylan, Stone Payton H, Villanueva-Meyer Javier E, Valdes Gilmer, Jiang Fei, Maddalena Michael, Ballangrud Ase, Prezelski Kayla, Lin Hui, Sun Jinger Y, Aldin Muhtada A K, Chau Oi Wai, Ziemer Benjamin, Seaberg Maasa, Sneed Penny K, Nakamura Jean L, Boreta Lauren C, Fogh Shannon E, Raleigh David R, Chew Jessica, Vasudevan Harish, Cha Soonmee, Hess Christopher, Fragoso Ruben, Shultz David B, Pike Luke, Hervey-Jumper Shawn L, Tsang Derek S, Theodosopoulos Philip, Cooke Daniel, Benedict Stanley H, Sheng Ke, Seuntjens Jan, Coolens Catherine, Deasy Joseph O, Braunstein Steve, Morin Olivier

Аннотация

Brain metastases are a frequent and debilitating manifestation of advanced cancer. Here, we collect and analyze neuroimaging of 3,065 cancer patients with 13,067 brain metastases, representing an extensive collection for research. We find that metastases predominantly localize to high perfusion areas near the grey-white matter junction, but also identify notable differences depending on the primary cancer histology as well as brain regions which do not conform to this relationship. Lung and breast cancers, in contrast to melanoma, frequently metastasize to the cerebellum, hinting at biological pathways of spread. Additionally, the deep brain structures are relatively spared from metastasis, regardless of primary cancer type. Leveraging this data, we propose a probabilistic brain metastasis risk model to enhance the therapeutic ratio of whole-brain radiotherapy by targeting high risk areas while preserving cortical and subcortical brain regions of functional significance and low metastasis risk, potentially reducing the cognitive side effects of therapy.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты