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ナカジマ レイコ
Nakajima Reiko
中島 怜子 所属 医学部 医学科（東京女子医科大学病院） 職種 助教 |
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| 論文種別 | 原著 |
| 言語種別 | 英語 |
| 査読の有無 | 査読あり |
| 表題 | Rosai-Dorfman Disease-Utility of 18F-FDG PET/CT for Initial Evaluation and Follow-up. |
| 掲載誌名 | 正式名：Clinical nuclear medicine 略 称：Clin Nucl Med ISSNコード：15360229/03639762 |
| 掲載区分 | 国外 |
| 巻・号・頁 | 45(6),pp.e260-e266 |
| 著者・共著者 | Mahajan Sonia, Nakajima Reiko, Yabe Mariko, Dogan Ahmet, Ulaner Gary A, Yahalom Joachim, Noy Ariela, Diamond Eli L, Schöder Heiko |
| 担当区分 | 2nd著者 |
| 発行年月 | 2020/06 |
| 概要 | BACKGROUND:The role of imaging in the management of Rosai-Dorfman disease (RDD), a rare non-Langerhans cell histiocytosis, is not clearly defined. We present an analysis of FDG PET/CT findings obtained for initial disease characterization, follow-up evaluation, and treatment planning for this disease.METHODS:From an institutional pathology database (2001-2018), we identified RDD patients who underwent FDG PET/CT scans either as part of clinical care or when done as part of clinical trials. For all scans, sites of abnormal FDG uptake were assessed, and SUVmax was measured. Comparison of PET/CT findings was made with anatomic (CT/MRI-based) imaging, where available. Instances of changing treatment based on PET/CT were recorded.RESULTS:We reviewed 109 FDG PET/CT scans in 27 patients with RDD. Five of 27 patients had only nodal/cutaneous disease, whereas 22 patients had extranodal disease, most commonly in bone (n = 9) and central nervous system (n = 7). PET/CT identified sites of active disease in 24 of 27 patients. All identified bone and extraskeletal lesions, except for a brain lesion in 1 patient, were FDG-avid. In 6 of 20 patients (30%) with available prior CT or MRI, PET/CT demonstrated additional RDD lesions (bones: n = 5, pleura: n = 1) that were not apparent on anatomic imaging; 3 of these lesions were outside the CT field of view, and 3 were not recognized on CT. Overall, 13 of 109 PET/CT scans led to a change in management, affecting 41% (11/27) of patients.CONCLUSION:FDG PET/CT was valuable in defining disease extent and optimizing treatment strategy in patients with RDD. |
| DOI | 10.1097/RLU.0000000000003014 |
| PMID | 32349088 |