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Gender Medicine in Clinical Radiology Practice.
Giacobbe, Giuliana; Granata, Vincenza; Trovato, Piero; Fusco, Roberta; Simonetti, Igino; De Muzio, Federica; Cutolo, Carmen; Palumbo, Pierpaolo; Borgheresi, Alessandra; Flammia, Federica; Cozzi, Diletta; Gabelloni, Michela; Grassi, Francesca; Miele, Vittorio; Barile, Antonio; Giovagnoni, Andrea; Gandolfo, Nicoletta.
Afiliación
  • Giacobbe G; General and Emergency Radiology Department, "Antonio Cardarelli" Hospital, 80131 Naples, Italy.
  • Granata V; Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
  • Trovato P; Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
  • Fusco R; Medical Oncology Division, Igea SpA, 80013 Naples, Italy.
  • Simonetti I; Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
  • De Muzio F; Department of Medicine and Health Sciences "V. Tiberio", University of Molise, 86100 Campobasso, Italy.
  • Cutolo C; Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Salerno, Italy.
  • Palumbo P; Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, 67100 L'Aquila, Italy.
  • Borgheresi A; Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy.
  • Flammia F; Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy.
  • Cozzi D; Department of Radiology, University Hospital "Azienda Ospedaliera Universitaria delle Marche", Via Conca 71, 60126 Ancona, Italy.
  • Gabelloni M; Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.
  • Grassi F; Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.
  • Miele V; Department of Translational Research, Diagnostic and Interventional Radiology, University of Pisa, 56126 Pisa, Italy.
  • Barile A; Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", 80138 Naples, Italy.
  • Giovagnoni A; Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy.
  • Gandolfo N; Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.
J Pers Med ; 13(2)2023 Jan 27.
Article en En | MEDLINE | ID: mdl-36836457
ABSTRACT
Gender Medicine is rapidly emerging as a branch of medicine that studies how many diseases common to men and women differ in terms of prevention, clinical manifestations, diagnostic-therapeutic approach, prognosis, and psychological and social impact. Nowadays, the presentation and identification of many pathological conditions pose unique diagnostic challenges. However, women have always been paradoxically underestimated in epidemiological studies, drug trials, as well as clinical trials, so many clinical conditions affecting the female population are often underestimated and/or delayed and may result in inadequate clinical management. Knowing and valuing these differences in healthcare, thus taking into account individual variability, will make it possible to ensure that each individual receives the best care through the personalization of therapies, the guarantee of diagnostic-therapeutic pathways declined according to gender, as well as through the promotion of gender-specific prevention initiatives. This article aims to assess potential gender differences in clinical-radiological practice extracted from the literature and their impact on health and healthcare. Indeed, in this context, radiomics and radiogenomics are rapidly emerging as new frontiers of imaging in precision medicine. The development of clinical practice support tools supported by artificial intelligence allows through quantitative analysis to characterize tissues noninvasively with the ultimate goal of extracting directly from images indications of disease aggressiveness, prognosis, and therapeutic response. The integration of quantitative data with gene expression and patient clinical data, with the help of structured reporting as well, will in the near future give rise to decision support models for clinical practice that will hopefully improve diagnostic accuracy and prognostic power as well as ensure a more advanced level of precision medicine.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pers Med Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pers Med Año: 2023 Tipo del documento: Article