{"title":"精准肿瘤学时代的淋巴水肿成像与管理。","authors":"Pranjal Rai, Abhishek Mahajan, Shreya Shukla, Niyati Pokar","doi":"10.1093/bjr/tqaf029","DOIUrl":null,"url":null,"abstract":"<p><p>Lymphedema is a common complication of cancer treatment, leading to significant morbidity. Early and accurate diagnosis through the combined expertise of radiology and nuclear medicine is crucial for preventing lymphedema progression and improving patient outcomes. Imaging techniques such as lymphoscintigraphy, duplex ultrasound, MRI, and CT as well as newer modalities including near-infrared lymphangiography can diagnose and assess lymphedema severity. Bioimpedance spectroscopy (BIS) provides a non-invasive tool for early detection by measuring extracellular fluid changes, aiding in identifying lymphedema at its earliest stages. Pretreatment baseline measurements and prospective surveillance models (PSMs) are essential for tracking limb volume changes and mobility, enhancing early intervention outcomes. Recognizing the strengths and limitations of each imaging modality allows radiologists and nuclear medicine physicians to synergistically optimize lymphedema diagnosis and management. Effective management relies on multidisciplinary collaboration and includes conservative and surgical options tailored to disease severity. Advanced imaging modalities are pivotal for planning and monitoring interventional strategies. This review explores the development and management of secondary lymphedema in oncological patients, focusing chiefly on imaging and treatment strategies. It also briefly highlights the evolving role of artificial intelligence and machine learning in enhancing imaging precision and treatment outcomes.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Imaging and Management of Lymphedema in the Era of Precision Oncology.\",\"authors\":\"Pranjal Rai, Abhishek Mahajan, Shreya Shukla, Niyati Pokar\",\"doi\":\"10.1093/bjr/tqaf029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Lymphedema is a common complication of cancer treatment, leading to significant morbidity. Early and accurate diagnosis through the combined expertise of radiology and nuclear medicine is crucial for preventing lymphedema progression and improving patient outcomes. Imaging techniques such as lymphoscintigraphy, duplex ultrasound, MRI, and CT as well as newer modalities including near-infrared lymphangiography can diagnose and assess lymphedema severity. Bioimpedance spectroscopy (BIS) provides a non-invasive tool for early detection by measuring extracellular fluid changes, aiding in identifying lymphedema at its earliest stages. Pretreatment baseline measurements and prospective surveillance models (PSMs) are essential for tracking limb volume changes and mobility, enhancing early intervention outcomes. Recognizing the strengths and limitations of each imaging modality allows radiologists and nuclear medicine physicians to synergistically optimize lymphedema diagnosis and management. Effective management relies on multidisciplinary collaboration and includes conservative and surgical options tailored to disease severity. Advanced imaging modalities are pivotal for planning and monitoring interventional strategies. This review explores the development and management of secondary lymphedema in oncological patients, focusing chiefly on imaging and treatment strategies. It also briefly highlights the evolving role of artificial intelligence and machine learning in enhancing imaging precision and treatment outcomes.</p>\",\"PeriodicalId\":9306,\"journal\":{\"name\":\"British Journal of Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/bjr/tqaf029\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/bjr/tqaf029","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Imaging and Management of Lymphedema in the Era of Precision Oncology.
Lymphedema is a common complication of cancer treatment, leading to significant morbidity. Early and accurate diagnosis through the combined expertise of radiology and nuclear medicine is crucial for preventing lymphedema progression and improving patient outcomes. Imaging techniques such as lymphoscintigraphy, duplex ultrasound, MRI, and CT as well as newer modalities including near-infrared lymphangiography can diagnose and assess lymphedema severity. Bioimpedance spectroscopy (BIS) provides a non-invasive tool for early detection by measuring extracellular fluid changes, aiding in identifying lymphedema at its earliest stages. Pretreatment baseline measurements and prospective surveillance models (PSMs) are essential for tracking limb volume changes and mobility, enhancing early intervention outcomes. Recognizing the strengths and limitations of each imaging modality allows radiologists and nuclear medicine physicians to synergistically optimize lymphedema diagnosis and management. Effective management relies on multidisciplinary collaboration and includes conservative and surgical options tailored to disease severity. Advanced imaging modalities are pivotal for planning and monitoring interventional strategies. This review explores the development and management of secondary lymphedema in oncological patients, focusing chiefly on imaging and treatment strategies. It also briefly highlights the evolving role of artificial intelligence and machine learning in enhancing imaging precision and treatment outcomes.
期刊介绍:
BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences.
Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896.
Quick Facts:
- 2015 Impact Factor – 1.840
- Receipt to first decision – average of 6 weeks
- Acceptance to online publication – average of 3 weeks
- ISSN: 0007-1285
- eISSN: 1748-880X
Open Access option