关节软骨的定量和成分 MRI:叙述性综述。

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Tomography Pub Date : 2024-06-24 DOI:10.3390/tomography10070072
Domenico Albano, Umberto Viglino, Francesco Esposito, Aldo Rizzo, Carmelo Messina, Salvatore Gitto, Stefano Fusco, Francesca Serpi, Benedikt Kamp, Anja Müller-Lutz, Riccardo D'Ambrosi, Luca Maria Sconfienza, Philipp Sewerin
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引用次数: 0

摘要

这篇综述探讨了软骨磁共振成像技术在成分和定量方面的最新进展,探讨了其潜力和挑战。这些先进技术的整合有望改善疾病检测、治疗监控和整体患者护理。我们希望强调将这些技术转化为广泛临床应用的关键任务,即软骨磁共振成像从技术验证到临床应用的过渡,强调其在识别退行性和炎症性关节疾病早期征兆方面的关键作用。及早识别这些变化可以做出明智的治疗决定,从而促进个性化医疗方法的发展。软骨磁共振成像技术的不断发展突显了其在临床实践中日益重要的地位,为患者管理和治疗干预提供了宝贵的见解。本综述旨在讨论通过核磁共振成像评估关节软骨的旧证据和新见解,并更新最新发表的关于新型定量序列的文献。
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Quantitative and Compositional MRI of the Articular Cartilage: A Narrative Review.

This review examines the latest advancements in compositional and quantitative cartilage MRI techniques, addressing both their potential and challenges. The integration of these advancements promises to improve disease detection, treatment monitoring, and overall patient care. We want to highlight the pivotal task of translating these techniques into widespread clinical use, the transition of cartilage MRI from technical validation to clinical application, emphasizing its critical role in identifying early signs of degenerative and inflammatory joint diseases. Recognizing these changes early may enable informed treatment decisions, thereby facilitating personalized medicine approaches. The evolving landscape of cartilage MRI underscores its increasing importance in clinical practice, offering valuable insights for patient management and therapeutic interventions. This review aims to discuss the old evidence and new insights about the evaluation of articular cartilage through MRI, with an update on the most recent literature published on novel quantitative sequences.

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来源期刊
Tomography
Tomography Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.70
自引率
10.50%
发文量
222
期刊介绍: TomographyTM publishes basic (technical and pre-clinical) and clinical scientific articles which involve the advancement of imaging technologies. Tomography encompasses studies that use single or multiple imaging modalities including for example CT, US, PET, SPECT, MR and hyperpolarization technologies, as well as optical modalities (i.e. bioluminescence, photoacoustic, endomicroscopy, fiber optic imaging and optical computed tomography) in basic sciences, engineering, preclinical and clinical medicine. Tomography also welcomes studies involving exploration and refinement of contrast mechanisms and image-derived metrics within and across modalities toward the development of novel imaging probes for image-based feedback and intervention. The use of imaging in biology and medicine provides unparalleled opportunities to noninvasively interrogate tissues to obtain real-time dynamic and quantitative information required for diagnosis and response to interventions and to follow evolving pathological conditions. As multi-modal studies and the complexities of imaging technologies themselves are ever increasing to provide advanced information to scientists and clinicians. Tomography provides a unique publication venue allowing investigators the opportunity to more precisely communicate integrated findings related to the diverse and heterogeneous features associated with underlying anatomical, physiological, functional, metabolic and molecular genetic activities of normal and diseased tissue. Thus Tomography publishes peer-reviewed articles which involve the broad use of imaging of any tissue and disease type including both preclinical and clinical investigations. In addition, hardware/software along with chemical and molecular probe advances are welcome as they are deemed to significantly contribute towards the long-term goal of improving the overall impact of imaging on scientific and clinical discovery.
期刊最新文献
Reading Times of Common Musculoskeletal MRI Examinations: A Survey Study. Skeletal Muscle Segmentation at the Level of the Third Lumbar Vertebra (L3) in Low-Dose Computed Tomography: A Lightweight Algorithm. Radiomic Analysis of Treatment Effect for Patients with Radiation Necrosis Treated with Pentoxifylline and Vitamin E. A Joint Classification Method for COVID-19 Lesions Based on Deep Learning and Radiomics. A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease.
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