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Analysis of Clinical Features, Pathological Features and Misdiagnosis of Pulmonary Lymphoma

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Primary pulmonary lymphoma is a relatively rare extranodal lymphoma, and the incidence rate has increased in recent years. In the past, the disease mainly relied on surgery to obtain the pathological basis, so the clinical misdiagnosis rate was high. How to improve its early diagnosis and treatment has attracted much attention. By exploring the imaging manifestations of primary pulmonary lymphoma, we can further understand and improve the imaging diagnosis level of primary pulmonary lymphoma. This paper discusses the classification, imaging manifestations, diagnosis and identification of pulmonary lymphoma. The clinical data and imaging findings of primary pulmonary lymphoma diagnosed in a hospital were retrospectively summarized, and their imaging features were analyzed. We observe the clinicopathological characteristics and immunohistochemical phenotypes of multiple masses with cavitation type primary lung lymphoma, and analyze the virus and imaging characteristics of hybridization. The results of the study show that the CT (Computed Tomography) manifestations of primary lung lymphoma are diverse. The characteristics of cross-leaf distribution are more characteristic, and enhanced scanning lesions are usually mild to moderate. In the case of simultaneous masses and pneumonialike consolidation in the lungs, this disease needs to be considered.

Keywords: Clinical Manifestations; Diagnosis; Imaging; Primary Pulmonary Lymphoma

Document Type: Research Article

Affiliations: 1: Department of Radiology, Shanghai Sixth People's Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, 201306, China 2: Department of Respiration, Shanghai Sixth People's Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, 201306, China 3: Department of Pathology, Shanghai Sixth People's Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, 201306, China

Publication date: 01 July 2021

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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