Intrapulmonary lymph nodes: Thin-section CT features of 19 nodules

Yasuji Oshiro, Masahiko Kusumoto, Noriyuki Moriyama, Masahiro Kaneko, Kenji Suzuki, Hisao Asamura, Haruhiko Kondo, Ryousuke Tsuchiya, Sadayuki Murayama

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43 Citations (Scopus)

Abstract

Purpose: The purpose of this study was to describe the thin-section CT features of intrapulmonary lymph nodes that accompanied primary or metastatic lung tumors. Method: A retrospective analysis of thin-section CT features was performed on 19 nodules in 16 patients with pathologically confirmed intrapulmonary lymph nodes that accompanied primary or metastatic lung tumors. Results: Of the 16 patients, 13 had a solitary nodule and 3 had two nodules. All nodules were distributed in the middle lobe, lingula, or lower lobe. On thin-section CT images, the nodule was located abutting the visceral pleura (n = 10) or within 8 mm of the visceral pleura (n = 9). The thin-section CT findings showed that most of the nodules were well circumscribed (n = 18), homogeneous (n = 19), ovoid (n = 10), or round (n = 9) and smaller than 12 mm in maximal diameter. The surrounding lung field was normal (n = 16). Conclusion: Intrapulmonary lymph nodes are subpleural in the lower lung field. On thin-section CT, they are well circumscribed, homogeneous, round or ovoid, and smaller than 12 mm in maximal diameter. In the differential diagnosis of subpleural nodules located in the lower lung field, it should be kept in mind that they may be intrapulmonary lymph nodes even though the patient has malignancy.

Original languageEnglish
Pages (from-to)553-557
Number of pages5
JournalJournal of Computer Assisted Tomography
Volume26
Issue number4
DOIs
Publication statusPublished - 2002 Jul 1

Keywords

  • Intrapulmonary lymph nodes
  • Lungs, cancer-Computed tomography
  • Pulmonary nodules

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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    Oshiro, Y., Kusumoto, M., Moriyama, N., Kaneko, M., Suzuki, K., Asamura, H., Kondo, H., Tsuchiya, R., & Murayama, S. (2002). Intrapulmonary lymph nodes: Thin-section CT features of 19 nodules. Journal of Computer Assisted Tomography, 26(4), 553-557. https://doi.org/10.1097/00004728-200207000-00014