Harnessing Imaging Across Medical Specialties: Present Value and Future Radiomic Horizons

Q2 Medicine
P Frisina
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引用次数: 0

Abstract

Abstract: Diagnostic imaging plays a pivotal role across all medical disciplines, serving as the cornerstone for decision-making in both acute and chronic care. This article explores emerging evidence from diverse specialties-ranging from ophthalmology and hepatology to neurology and respiratory medicine-highlighting the indispensable role of imaging in guiding pharmacological, surgical, and rehabilitative strategies. More importantly, it emphasizes the transformative potential of radiomics, a data-driven approach that extracts high-dimensional quantitative features from routine CT, MRI, PET, and ultrasound scans. Unlike traditional qualitative interpretation, radiomics enables the development of predictive models that integrate imaging biomarkers with clinical, molecular, and genomic data. Case examples illustrate how radiomic analysis can improve disease stratification, guide perso-nalized therapies, and accelerate clinical trials. By leveraging existing picture-archiving systems without requiring additional procedures or contrast agents, radiomics offers a non-invasive "virtual biopsy" that expands the informational yield of every scan. This paradigm shift toward image-based precision medicine will require interdisciplinary collaboration between radiologists, clinicians, and data scientists but holds the promise of more accurate, efficient, and individualized care. The convergence of radiomic analytics and multidisciplinary practice heralds a new era in which imaging becomes not just a diagnostic tool, but a rich and reusable data asset that shapes therapeutic decisions and health outcomes.

子宫张力和产后出血:易感遗传因素和死后诊断。
摘要:诊断成像在所有医学学科中发挥着关键作用,是急慢性护理决策的基石。这篇文章探讨了来自不同专业的新证据——从眼科、肝病学到神经病学和呼吸医学——强调了成像在指导药理学、外科和康复策略中不可或缺的作用。更重要的是,它强调了放射组学的变革潜力,放射组学是一种数据驱动的方法,可以从常规CT、MRI、PET和超声波扫描中提取高维定量特征。与传统的定性解释不同,放射组学能够开发预测模型,将成像生物标志物与临床、分子和基因组数据相结合。案例说明放射组学分析如何改善疾病分层,指导个性化治疗,并加速临床试验。通过利用现有的图像存档系统,无需额外的程序或造影剂,放射组学提供了一种非侵入性的“虚拟活检”,扩大了每次扫描的信息产量。这种向基于图像的精准医学的范式转变将需要放射科医生、临床医生和数据科学家之间的跨学科合作,但也有望实现更准确、更高效和更个性化的护理。放射学分析和多学科实践的融合预示着一个新时代的到来,在这个时代,成像不仅是一种诊断工具,而且是一种丰富的、可重复使用的数据资产,可以形成治疗决策和健康结果。
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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来源期刊
Clinica Terapeutica
Clinica Terapeutica PHARMACOLOGY & PHARMACY-
CiteScore
2.50
自引率
0.00%
发文量
124
审稿时长
6-12 weeks
期刊介绍: La Clinica Terapeutica è una rivista di Clinica e Terapia in Medicina e Chirurgia, fondata nel 1951 dal Prof. Mariano Messini (1901-1980), Direttore dell''Istituto di Idrologia Medica dell''Università di Roma “La Sapienza”. La rivista è pubblicata come “periodico bimestrale” dalla Società Editrice Universo, casa editrice fondata nel 1945 dal Comm. Luigi Pellino. La Clinica Terapeutica è indicizzata su MEDLINE, INDEX MEDICUS, EMBASE/Excerpta Medica.
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