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Pulmonary mucosa‐associated lymphoid tissue lymphoma: CT findings and pathological basis
Author(s) -
Bi Wanli,
Zhao Shuo,
Wu Chongchong,
Gao Jie,
Zhao Shaohong,
Yang Shifeng,
Deng Yan,
Nie Pei,
Yu Xinxin,
Deng Hui,
Zang Xuelei,
Ma Xidong,
Han Jun,
Asuquo Idorenyin,
Wang Ximing,
Xue Xinying
Publication year - 2021
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.26403
Subject(s) - medicine , halo sign , lymphoma , pathological , lung , radiology , mucosa associated lymphoid tissue , pathology , pneumonia , lymphatic system , malt lymphoma , computed tomography
Background Pulmonary mucosa‐associated lymphoid tissue lymphoma (MALToma) is the most frequent subset of primary pulmonary lymphoma. This study aimed to identify radiologic characteristics of pulmonary MALToma based on computed tomography (CT) observations and pathologic features, and further investigate its prognosis. Methods Sixty‐six patients (55.4 ± 10.9 years; 51.5% male) diagnosed as pulmonary MALToma by pathology were retrospectively enrolled. According to distributions and features of lesions shown on CT, patients were divided into three patterns, including single nodular/mass, multiple nodular/mass, and pneumonia‐like consolidative. Results Variety of the location and extent of the lymphomatous infiltration accounted for different characteristics demonstrated at CT. The pneumonia‐like consolidative pattern was the most frequent pattern observed in 42 patients (63.6%), followed by single nodular/mass (21.2%) and multiple nodular/mass (15.2%). CT features included air bronchogram (72.7%), well‐marginated halo sign (53.0%), coarse spiculate with different lengths (72.7%), angiogram sign (77.1% of 35 patients), peribronchovascular thickening (48.5%), irregular cavitation (16.7%) and pulmonary cyst (7.6%). The estimated 5‐year cumulative overall survival rate of pulmonary MALToma was 100.0%. Conclusions Pulmonary MALToma demonstrates several characteristics at CT. Identification of the significant pulmonary abnormalities of this indolent disease entity might be helpful for early diagnosis and optimal treatment.