{"title":"肺结节病的表型分析。","authors":"Hiba Abbas, Maria Kokosi, Nishanth Sivarasan","doi":"10.1093/bjr/tqaf118","DOIUrl":null,"url":null,"abstract":"<p><p>Pulmonary sarcoidosis, although generally associated with a good prognosis, remains challenging to manage in view of its unpredictable disease behaviour and outcome. Being able to phenotype patients with sarcoidosis could potentially facilitate treatment decisions and promote research anchored to disease behaviour and outcome. Efforts to phenotype sarcoidosis using imaging date back to the early 1900s when chest x-rays were the main modality for lung parenchymal evaluation. However, despite significant advances in technology, there is currently no consensus on how we should classify this disease utilising more modern imaging techniques. In this review we provide an overview of imaging phenotypes in sarcoidosis, discuss the challenges of disease classification, evaluate associations between imaging appearance and outcome, and explore new developments in this field.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phenotyping Pulmonary Sarcoidosis.\",\"authors\":\"Hiba Abbas, Maria Kokosi, Nishanth Sivarasan\",\"doi\":\"10.1093/bjr/tqaf118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Pulmonary sarcoidosis, although generally associated with a good prognosis, remains challenging to manage in view of its unpredictable disease behaviour and outcome. Being able to phenotype patients with sarcoidosis could potentially facilitate treatment decisions and promote research anchored to disease behaviour and outcome. Efforts to phenotype sarcoidosis using imaging date back to the early 1900s when chest x-rays were the main modality for lung parenchymal evaluation. However, despite significant advances in technology, there is currently no consensus on how we should classify this disease utilising more modern imaging techniques. In this review we provide an overview of imaging phenotypes in sarcoidosis, discuss the challenges of disease classification, evaluate associations between imaging appearance and outcome, and explore new developments in this field.</p>\",\"PeriodicalId\":9306,\"journal\":{\"name\":\"British Journal of Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-05-28\",\"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/tqaf118\",\"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/tqaf118","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}
Pulmonary sarcoidosis, although generally associated with a good prognosis, remains challenging to manage in view of its unpredictable disease behaviour and outcome. Being able to phenotype patients with sarcoidosis could potentially facilitate treatment decisions and promote research anchored to disease behaviour and outcome. Efforts to phenotype sarcoidosis using imaging date back to the early 1900s when chest x-rays were the main modality for lung parenchymal evaluation. However, despite significant advances in technology, there is currently no consensus on how we should classify this disease utilising more modern imaging techniques. In this review we provide an overview of imaging phenotypes in sarcoidosis, discuss the challenges of disease classification, evaluate associations between imaging appearance and outcome, and explore new developments in this field.
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