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Three Cases of Extranodal Rosai-Dorfman Disease and Literature Review.三例结外Rosai-Dorfman病及文献复习
Open Life Sci. 2018 Aug 21;13:263-268. doi: 10.1515/biol-2018-0032. eCollection 2018 Jan.
2
Rosai-Dorfman Disease-Utility of 18F-FDG PET/CT for Initial Evaluation and Follow-up.罗萨达-多夫曼病 - 18F-FDG PET/CT 用于初始评估和随访的效用。
Clin Nucl Med. 2020 Jun;45(6):e260-e266. doi: 10.1097/RLU.0000000000003014.
3
FDG PET/CT Image for a Rosai-Dorfman Disease With Pituitary and Bone Involvement in a Pediatric Patient.FDG PET/CT 图像在儿童患者垂体和骨累及的 Rosai-Dorfman 病中的应用。
Clin Nucl Med. 2019 Nov;44(11):873-875. doi: 10.1097/RLU.0000000000002776.
4
F-fluoro-2-deoxyglucose positron emission-computed tomography in a rare cutaneous form of Rosai-Dorfman disease: A case report.氟代脱氧葡萄糖正电子发射计算机断层扫描在罕见皮肤型罗萨伊-多夫曼病中的应用:一例报告
Mol Clin Oncol. 2018 Feb;8(2):236-241. doi: 10.3892/mco.2017.1507. Epub 2017 Nov 21.
5
Sinus Histiocytosis With Massive Lymphadenopathy (Rosai Dorfman Disease): Diagnostic and Treatment Modalities for this Rare Entity Revisited.伴巨大淋巴结病的窦性组织细胞增生症(罗萨伊-多夫曼病):对这一罕见疾病的诊断和治疗方式的再探讨
J Pediatr Hematol Oncol. 2018 May;40(4):e198-e202. doi: 10.1097/MPH.0000000000001044.
6
Bone Involvement in Rosai-Dorfman Disease (RDD): a Case Report and Systematic Literature Review.Rosai-Dorfman病(RDD)中的骨受累:一例报告及系统文献综述
Curr Rheumatol Rep. 2017 May;19(5):29. doi: 10.1007/s11926-017-0656-6.
7
Extranodal Rosai-Dorfman Disease: Clinicopathologic Series of 10 Patients With Radiologic Correlation and Review of the Literature.结外Rosai-Dorfman病:10例患者的临床病理系列研究及影像学相关性分析并文献复习
Am J Clin Pathol. 2016 Feb;145(2):211-21. doi: 10.1093/ajcp/aqv029. Epub 2016 Jan 23.
8
18F-FDG PET/CT Imaging of Extranodal Rosai-Dorfman Disease with Hepatopancreatic Involvement - A Pictorial and Literature Review.伴有肝胰受累的结外Rosai-Dorfman病的18F-FDG PET/CT成像——图文及文献综述
Cureus. 2015 Dec 3;7(12):e392. doi: 10.7759/cureus.392.
9
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Semin Nucl Med. 2015 Nov;45(6):481-99. doi: 10.1053/j.semnuclmed.2015.02.006.
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18F-FDG PET/CT of Widespread Rosai-Dorfman Disease.全身弥漫性 Rosai-Dorfman 病的 18F-FDG PET/CT 显像
Clin Nucl Med. 2016 Jan;41(1):57-9. doi: 10.1097/RLU.0000000000001002.

F-FDG PET/CT在一例进行性Rosai-Dorfman病中的潜在作用。

Potential role of F-FDG PET/CT in a case of progressive Rosai Dorfman disease.

作者信息

Fard-Esfahani Argmaghan, Saidi Bahare, Seyedinia Sara, Emami-Ardekani Alireza, Eftekhari Mohammad

机构信息

Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Asia Ocean J Nucl Med Biol. 2021 Winter;9(1):62-66. doi: 10.22038/AOJNMB.2020.51742.1356.

DOI:10.22038/AOJNMB.2020.51742.1356
PMID:33392352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7701221/
Abstract

Rosai Dorfman disease is a rare form of nonlangerhans cell histiocytosis, presenting with extensive lymphadenopathies. Treatment in most cases of nodal disease, involves close observation; however, extranodal involvement requires a more definitive treatment strategy. Herein, we report a case of extensive Rosai Dorfman disease in a 43-year-old woman presenting for evaluation of treatment response by F-FDG PET/CT after frequent relapses and disease progression. In addition to extensive lymphadenothapies in cervical, supraclavicular, superior mediastinum, axillary, abdominopelvic and inguinofemoral regions, the patient had metabolically active bone and subcutaneous lesions which were not previously recognized. Following this F-FDG PET/CT study, the patient management was changed to sirolimus and prednisolone. To choose the best treatment option for Rosai Dorfman patients, knowledge of the full extent of disease is important. Compared with conventional imaging, F-FDG PET/CT has the advantage of being a whole-body imaging modality and can recognize disease involvement prior to any anatomical changes.

摘要

罗萨伊-多夫曼病是一种罕见的非朗格汉斯细胞组织细胞增多症,表现为广泛的淋巴结病。大多数淋巴结疾病病例的治疗包括密切观察;然而,结外受累需要更明确的治疗策略。在此,我们报告一例43岁女性的广泛罗萨伊-多夫曼病病例,该患者在频繁复发和疾病进展后,通过F-FDG PET/CT评估治疗反应。除了颈部、锁骨上、上纵隔、腋窝、腹盆腔和腹股沟股区域的广泛淋巴结病外,患者还有代谢活跃的骨骼和皮下病变,这些病变以前未被识别。在这项F-FDG PET/CT研究之后,患者的治疗方案改为西罗莫司和泼尼松龙。为罗萨伊-多夫曼病患者选择最佳治疗方案时,了解疾病的全部范围很重要。与传统成像相比,F-FDG PET/CT的优势在于它是一种全身成像方式,并且可以在任何解剖学变化之前识别疾病受累情况。