Salvatore Lavalle, Rosa Scapaticci, Edoardo Masiello, Carmelo Messina, Alberto Aliprandi, Valerio Mario Salerno, Arcangelo Russo, Francesco Pegreffi
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Dual-energy x-ray Absorptiometry and Computed Tomography, while widely utilized, entail radiation exposure concerns. Ultrasound imaging offers portability, real-time imaging, and absence of ionizing radiation, making it a promising tool Magnetic Resonance Imaging, particularly T1-weighted and Dixon sequences, provides cross- sectional and high-resolution images and fat-water separation capabilities, facilitating precise sarcopenia quantification. Bioelectrical Impedance Analysis (BIA), a non-invasive technique, estimates body composition, including muscle mass, albeit influenced by hydration status. Standardized protocols, such as those proposed by the Sarcopenia through Ultrasound (SARCUS) Working Group, are imperative for ensuring consistency across assessments. Future research should focus on refining these techniques and harnessing the potential of radiomics and artificial intelligence to enhance diagnostic accuracy and prognostic capabilities in sarcopenia.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1467155"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11496100/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advancements in sarcopenia diagnosis: from imaging techniques to non-radiation assessments.\",\"authors\":\"Salvatore Lavalle, Rosa Scapaticci, Edoardo Masiello, Carmelo Messina, Alberto Aliprandi, Valerio Mario Salerno, Arcangelo Russo, Francesco Pegreffi\",\"doi\":\"10.3389/fmedt.2024.1467155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Sarcopenia is a prevalent condition with significant clinical implications, and it is expected to escalate globally, demanding for effective diagnostic strategies, possibly at an early stage of the disease. 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引用次数: 0
摘要
肌肉疏松症是一种普遍存在的疾病,对临床有重大影响,而且预计会在全球范围内蔓延,因此需要有效的诊断策略,可能是在疾病的早期阶段。成像技术在全面评估肌肉疏松症方面发挥着举足轻重的作用,它能让人们深入了解肌肉的数量和质量。在目前用于诊断和随访肌肉疏松症的所有成像技术中,可分为两类:一类是以电离辐射为基础的放射技术,另一类是以安全、低风险诊断程序为基础的非侵入性技术。双能 X 射线吸收测量法和计算机断层扫描法虽然应用广泛,但存在辐射问题。超声波成像具有便携性、实时成像和无电离辐射的特点,是一种很有前途的工具。磁共振成像,尤其是 T1 加权和 Dixon 序列,可提供横截面和高分辨率图像,并具有脂肪-水分离功能,有助于对肌肉疏松症进行精确量化。生物电阻抗分析(BIA)是一种非侵入性技术,可估算身体成分,包括肌肉质量,尽管会受到水合状态的影响。标准化方案,如 "通过超声评估肌肉疏松症(SARCUS)工作组 "提出的方案,对于确保各项评估的一致性至关重要。未来的研究应侧重于完善这些技术,并利用放射组学和人工智能的潜力来提高肌肉疏松症的诊断准确性和预后能力。
Advancements in sarcopenia diagnosis: from imaging techniques to non-radiation assessments.
Sarcopenia is a prevalent condition with significant clinical implications, and it is expected to escalate globally, demanding for effective diagnostic strategies, possibly at an early stage of the disease. Imaging techniques play a pivotal role in comprehensively evaluating sarcopenia, offering insights into both muscle quantity and quality. Among all the imaging techniques currently used for the diagnosis and follow up of sarcopenia, it is possible to distinguish two classes: Rx based techniques, using ionizing radiations, and non-invasive techniques, which are based on the use of safe and low risk diagnostic procedures. Dual-energy x-ray Absorptiometry and Computed Tomography, while widely utilized, entail radiation exposure concerns. Ultrasound imaging offers portability, real-time imaging, and absence of ionizing radiation, making it a promising tool Magnetic Resonance Imaging, particularly T1-weighted and Dixon sequences, provides cross- sectional and high-resolution images and fat-water separation capabilities, facilitating precise sarcopenia quantification. Bioelectrical Impedance Analysis (BIA), a non-invasive technique, estimates body composition, including muscle mass, albeit influenced by hydration status. Standardized protocols, such as those proposed by the Sarcopenia through Ultrasound (SARCUS) Working Group, are imperative for ensuring consistency across assessments. Future research should focus on refining these techniques and harnessing the potential of radiomics and artificial intelligence to enhance diagnostic accuracy and prognostic capabilities in sarcopenia.