Correlation of radio-and histomorphological pattern of pulmonary adenocarcinoma

  • Mathieu Lederlin
  • , Michael Puderbach
  • , Thomas Muley
  • , Philipp A. Schnabel
  • , Albrecht Stenzinger
  • , Hans Ulrich Kauczor
  • , Claus Peter Heussel
  • , Felix J.F. Herth
  • , Hans Hoffmann
  • , Hendrik Dienemann
  • , Wilko Weichert
  • , Arne Warth

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

Recently, a novel classification system based on tumour architecture and with high prognostic impact has been proposed for pulmonary adenocarcinomas (ADCs). For imagingbased prediction of histological ADC subtypes and, thus, prognosis, it is of paramount importance to investigate the correlations of radio-and histomorphological parameters. Associations between histomorphological ADC growth patterns (lepidic, acinar, papillary, micropapillary and solid) and data from pre-operative assessment by computed tomography (CT) imaging of 174 resected pulmonary ADCs were analysed. Margin configuration as well as solidity/ground glass opacity of an ADC was associated with distinct histomorphological ADC growth patterns. Solid-predominant ADCs usually had smooth margins and were also solid in CT scans, while lepidic-predominant ADCs had no predominant margin pattern, were located in the periphery, showed a positive bronchogram and were frequently associated with solidity/ground glass opacity. In addition, nonspherical tumour growth was a negative predictor of overall and disease-specific patient survival. We defined CT morphological parameters that were associated with histomorphological growth patterns of pulmonary ADCs. These data may form the basis for the development of future prognostic algorithms in the palliative setting, which include an integrated evaluation of biopsy histomorphology and CT scan morphology of nonresectable pulmonary ADC.

Original languageEnglish
Pages (from-to)943-951
Number of pages9
JournalEuropean Respiratory Journal
Volume41
Issue number4
DOIs
StatePublished - 1 Apr 2013
Externally publishedYes

Keywords

  • Histology
  • Prediction
  • Prognosis
  • Pulmonary adenocarcinoma
  • Radiology
  • Subtyping

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