Factors distinguishing invasive from pre-invasive adenocarcinoma presenting as pure ground glass pulmonary nodules

Radiat Oncol. 2020 Jul 31;15(1):186. doi: 10.1186/s13014-020-01628-x.

Abstract

Background: To investigate predictors of pathological invasiveness and prognosis of lung adenocarcinoma in patients with pure ground-glass nodules (pGGNs).

Methods: Clinical and computed tomography (CT) features of invasive adenocarcinomas (IACs) and pre-IACs were retrospectively compared in 641 consecutive patients with pGGNs and confirmed lung adenocarcinomas who had undergone postoperative CT follow-up. Potential predictors of prognosis were investigated in these patients.

Results: Of 659 pGGNs in 641 patients, 258 (39.1%) were adenocarcinomas in situ, 265 (40.2%) were minimally invasive adenocarcinomas, and 136 (20.6%) were IACs. Respective optimal cutoffs for age, serum carcinoembryonic antigen concentration, maximal diameter, mean diameter, and CT density for distinguishing pre-IACs from IACs were 53 years, 2.19 ng/mL, 10.78 mm, 10.09 mm, and - 582.28 Hounsfield units (HU). Univariable analysis indicated that sex, age, maximal diameter, mean diameter, CT density, and spiculation were significant predictors of lung IAC. In multivariable analysis age, maximal diameter, and CT density were significant predictors of lung IAC. During a median follow-up of 41 months no pGGN IACs recurred.

Conclusions: pGGNs may be lung IACs, especially in patients aged > 55 years with lesions that are > 1 cm in diameter and exhibit CT density > - 600 HU. pGGN IACs of < 3 cm in diameter have good post-resection prognoses.

Keywords: Adenocarcinoma; Computed tomography; Ground-glass nodule.

MeSH terms

  • Adenocarcinoma of Lung / diagnostic imaging
  • Adenocarcinoma of Lung / pathology*
  • Adult
  • Aged
  • Female
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Lung Neoplasms / diagnostic imaging
  • Lung Neoplasms / pathology*
  • Male
  • Middle Aged
  • Neoplasm Invasiveness
  • Prognosis
  • Retrospective Studies
  • Solitary Pulmonary Nodule / diagnostic imaging
  • Solitary Pulmonary Nodule / pathology*
  • Tomography, X-Ray Computed / methods*