Intrapulmonary lymph nodes: Thin-section CT findings, pathological findings, and CT differential diagnosis from pulmonary metastatic nodules

Tsuyoshi Hyodo, Susumu Kanazawa, Shuichi Dendo, Keita Kobayashi, Hirohide Hayashi, Yoshihiro Kouno, Mamoru Fujishima, Yoshio Hiraki

Research output: Contribution to journalReview articlepeer-review

33 Citations (Scopus)

Abstract

We compared the thin-section CT findings of 11 intrapulmonary lymph nodes with pathological findings and evaluated the possibility of CT scan differential diagnosis from pulmonary metastatic nodules. First, we retrospectively reviewed CT scan and pathological findings of intrapulmonary lymph nodes. The median size of these nodules was 6.2 mm. The nodules appeared round (n = 3) or angular (n = 8) in shape with a sharp border, and they were found below the level of the carina. The median distance from the nearest pleural surface was 4.6 mm, and 3 of the 11 nodules were attached to the pleura. On thin-section CT scan, linear densities extending from the intrapulmonary lymph nodes were frequently visualized, and were pathologically proven to be ectatic lymphoid channels. We then compared the thin-section CT findings of 8 metastatic nodules less than 1 cm in diameter with those of the 11 intrapulmonary lymph nodes. The median size of these nodules was 6.8 mm, and the median distance from the nearest pleural surface was 16 mm. All nodules appeared round in shape. None of the nodules had linear densities extending from the nodules. The linear densities on thin-section CT scan may be the most useful characteristic of intrapulmonary lymph nodes, when differential diagnosis from metastatic nodules is necessary.

Original languageEnglish
Pages (from-to)235-240
Number of pages6
JournalActa medica Okayama
Volume58
Issue number5
Publication statusPublished - Oct 1 2004

Keywords

  • Intrapulmonary lymph nodes
  • Pathological findings
  • Pulmonary metastatic nodules
  • Thin-section CT scan

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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