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The Emerging Role and Clinical Applications of Morphomics in Diagnostic Imaging.
O'Regan, Patrick W; O'Regan, James A; Maher, Michael M; Ryan, David J.
Afiliação
  • O'Regan PW; Department of Radiology, Cork University Hospital, Cork, Ireland.
  • O'Regan JA; Department of Radiology, School of Medicine, University College Cork, Cork, Ireland.
  • Maher MM; Department of Medicine, Cork University Hospital, Cork, Ireland.
  • Ryan DJ; Department of Radiology, Cork University Hospital, Cork, Ireland.
Can Assoc Radiol J ; : 8465371241242763, 2024 Apr 16.
Article em En | MEDLINE | ID: mdl-38624049
ABSTRACT
Analytic morphomics refers to the accurate measurement of specific biological markers of human body composition in diagnostic medical imaging. The increasing prevalence of disease processes that alter body composition including obesity, cachexia, and sarcopenia has generated interest in specific targeted measurement of these metrics to possibly prevent or reduce negative health outcomes. Typical morphomic measurements include the area and density of muscle, bone, vascular calcification, visceral fat, and subcutaneous fat on a specific validated axial level in the patient's cross-sectional diagnostic imaging. A distinct advantage of these measurements is that they can be made retrospectively and opportunistically with pre-existing datasets. We provide a narrative review of the current state of art in morphomics, but also consider some potential future directions for this exciting field. Imaging based quantitative assessment of body composition has enormous potential across the breadth and scope of modern clinical practice. From risk stratification to treatment planning, and outcome assessment, all can be enhanced with the use of analytic morphomics. Moreover, it is likely that many new opportunities for personalized medicine will emerge as the field evolves. As radiologists, embracing analytic morphomics will enable us to contribute added value in the care of every patient.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article