RESUMEN
This paper presents a local intensity structure analysis based on an intensity targeted radial structure tensor (ITRST) and the blob-like structure enhancement filter based on it (ITRST filter) for the mediastinal lymph node detection algorithm from chest computed tomography (CT) volumes. Although the filter based on radial structure tensor analysis (RST filter) based on conventional RST analysis can be utilized to detect lymph nodes, some lymph nodes adjacent to regions with extremely high or low intensities cannot be detected. Therefore, we propose the ITRST filter, which integrates the prior knowledge on detection target intensity range into the RST filter. Our lymph node detection algorithm consists of two steps: (1) obtaining candidate regions using the ITRST filter and (2) removing false positives (FPs) using the support vector machine classifier. We evaluated lymph node detection performance of the ITRST filter on 47 contrast-enhanced chest CT volumes and compared it with the RST and Hessian filters. The detection rate of the ITRST filter was 84.2% with 9.1 FPs/volume for lymph nodes whose short axis was at least 10 mm, which outperformed the RST and Hessian filters.
RESUMEN
A 57-year-old woman was referred to our hospital for further examination of a tracheal stenosis shown on computed tomography findings. Bronchoscopy revealed multiple protruding tumors in the lumen of the trachea. Cytological findings of the cell block material from pleural effusion indicated that the T-cell lymphoma was composed of pleomorphic lymphoid cells. Serum human T-cell leukemia virus type 1 antibody was positive and supported the clinical diagnosis of ATLL. Systemic chemotherapy induced the remarkable improvement of the lesions, the infiltrative lung shadow and the soft tissue neoplasm. We report a rare case of adult T cell leukemia/lymphoma (ATLL) with endobronchial involvement.