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
General and Emergency Radiology Department, "Antonio Cardarelli" Hospital, 80131 Naples, Italy.
Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.
J Pers Med. 2023 Jan 27;13(2):223. doi: 10.3390/jpm13020223.
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.
性别医学正在迅速崛起,成为医学的一个分支,研究男性和女性共有的许多疾病在预防、临床表现、诊断治疗方法、预后以及心理和社会影响方面的差异。如今,许多病理状况的呈现和识别带来了独特的诊断挑战。然而,在流行病学研究、药物试验以及临床试验中,女性一直被反常地低估,因此许多影响女性群体的临床状况常常被低估和/或延误,可能导致临床管理不足。了解并重视医疗保健中的这些差异,从而考虑个体差异,将有可能通过治疗的个性化、根据性别调整诊断治疗途径以及推广针对性别的预防举措,确保每个人都能获得最佳护理。本文旨在评估从文献中提取的临床放射学实践中潜在的性别差异及其对健康和医疗保健的影响。事实上,在这种背景下,放射组学和放射基因组学正在迅速成为精准医学中成像的新前沿。由人工智能支持的临床实践支持工具的开发,通过定量分析能够无创地表征组织,最终目标是直接从图像中提取疾病侵袭性、预后和治疗反应的指标。借助结构化报告,将定量数据与基因表达和患者临床数据相结合,在不久的将来将产生临床实践决策支持模型,有望提高诊断准确性和预后能力,并确保达到更高级别的精准医学水平。