A comparison of clinical staging using the Lugano versus Ann Arbor classifications in Japanese patients with Hodgkin lymphoma.
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ID: 105225
2019
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Abstract
The Lugano classification is a novel staging system for lymphomas established in 2014. In this staging system, F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) was formally incorporated into standard staging for FDG-avid lymphomas, including Hodgkin lymphoma (HL). We retrospectively analyzed patients with HL who were newly diagnosed and treated at our institution to evaluate the utility of the Lugano classification compared to the Ann Arbor classification in Japanese patients with this type of lymphoma.Patients newly diagnosed with HL between 2005 and 2011 were identified through our departmental database. Data from neck-chest-abdomen-pelvis CT scans, BM examinations, and FDG-PET/CT that were routinely performed for staging at our clinical practice were retrieved and analyzed.Fifty-four patients with a median age of 35.5 years (range: 15-78 years) were investigated in this retrospective study. The Lugano stage matched the Ann Arbor stage in 46 patients (85%). Six patients (11%) were upstaged while two (4%) were downstaged per the Lugano classification. Four patients (7%) were converted from early stage to advanced stage, but none was converted in the reverse. Among 11 patients (20%) with PET-positive bone/bone marrow lesions, only one (2%) exhibited biopsy-proven bone marrow involvement of HL cells.Our data revealed a high concordance rate between the Lugano and Ann Arbor staging system in Japanese patients with HL. Because of its low diagnostic value, routine bone marrow examination might be unnecessary for staging when FDG-PET/CT is used as a substitute.
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makita2019aasiapacific
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| Authors | Makita, Shinichi;Maruyama, Dai;Maeshima, Akiko Miyagi;Taniguchi, Hirokazu;Yuda, Sayako;Toyoda, Kosuke;Yamauchi, Nobuhiko;Fukuhara, Suguru;Munakata, Wataru;Kobayashi, Yukio;Kurihara, Hiroaki;Izutsu, Koji;Tobinai, Kensei; |
| Journal | asia-pacific journal of clinical oncology |
| Year | 2019 |
| DOI |
10.1111/ajco.13248
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