Significance of marginal vessels in differentiating peripheral small-cell lung cancer and benign lung tumor

Acta Radiol. 2023 Sep;64(9):2526-2534. doi: 10.1177/02841851231188060. Epub 2023 Jul 18.

Abstract

Background: Some peripheral small cell lung cancers (pSCLCs) and benign lung tumors (pBLTs) have similar morphological features but different treatment and prognosis.

Purpose: To determine the significance of marginal vessels in differentiating pSCLCs and pBLTs.

Material and methods: A total of 57 and 95 patients with pathological confirmed nodular (≤3 cm) pSCLC and pBLT with similar morphological features were enrolled in this study retrospectively. The patients' clinical characteristics and computed tomography (CT) features of tumors and marginal vessels (vessels connecting with tumors) were analyzed and compared.

Results: Compared with pBLTs, pSCLCs had a larger diameter (P = 0.001) but lower enhancement (P = 0.015) and fewer had calcification (P = 0.013). Compared with pBLTs, more lesions had proximal (70.2% vs. 22.1%) and distal (59.6% vs. 4.2%) marginal vessels in pSCLCs (each P < 0.0001). In addition, in pSCLCs, the numbers of proximal (1.3 ± 1.4 vs. 0.3 ± 0.6), distal (2.4 ± 3.1 vs. 0.1 ± 0.5), and total (3.6 ± 3.5 vs. 0.4 ± 1.0) marginal vessels were all more than those in pBLTs (each P < 0.001). Receiver operating characteristic curve analysis revealed the positive distal marginal vessel sign had the highest specificity (95.8%), and the number of total marginal vessels had the best performance in discriminating pSCLC from pBLT (cutoff value = 1.5, AUC = 0.80, 95% CI = 0.72-0.89, sensitivity = 70.2%, and specificity = 91.6%).

Conclusion: For peripheral solid nodules similar to pBLTs but without any calcification, the possibility of pSCLC should be considered if they have multiple marginal vessels (≥2), especially the distal ones.

Keywords: Small cell lung carcinoma; X-ray computed tomography; differential diagnosis; lung neoplasms.

MeSH terms

  • Humans
  • Lung Neoplasms* / diagnostic imaging
  • Lung Neoplasms* / pathology
  • ROC Curve
  • Retrospective Studies
  • Small Cell Lung Carcinoma* / diagnostic imaging
  • Tomography, X-Ray Computed / methods