Published May 2018 | Version v1
Journal article

Pulmonary subsolid nodules. Value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement

  • 1. Seoul National University Medical Research Center, Institute of Radiation Medicine, Seoul (Korea, Republic of)
  • 2. Seoul National University College of Medicine, Department of Radiology, Seoul (Korea, Republic of)
  • 3. Seoul National University Cancer Research Institute, Seoul (Korea, Republic of)

Description

We hypothesized that semi-automatic diameter measurements would improve the accuracy and reproducibility in discriminating preinvasive lesions and minimally invasive adenocarcinomas from invasive pulmonary adenocarcinomas appearing as subsolid nodules (SSNs) and increase the reproducibility in classifying SSNs. Two readers independently performed semi-automatic and manual measurements of the diameters of 102 SSNs and their solid portions. Diagnostic performance in predicting invasive adenocarcinoma based on diameters was tested using logistic regression analysis with subsequent receiver operating characteristic curves. Inter- and intrareader reproducibilities of diagnosis and SSN classification according to Fleischner's guidelines were investigated for each measurement method using Cohen's κ statistics. Semi-automatic effective diameter measurements were superior to manual average diameters for the diagnosis of invasive adenocarcinoma (AUC, 0.905-0.923 for semi-automatic measurement and 0.833-0.864 for manual measurement; p<0.05). Reproducibility of diagnosis between the readers also improved with semi-automatic measurement (κ=0.924 for semi-automatic measurement and 0.690 for manual measurement, p=0.012). Inter-reader SSN classification reproducibility was significantly higher with semi-automatic measurement (κ=0.861 for semi-automatic measurement and 0.683 for manual measurement, p=0.022). Semi-automatic effective diameter measurement offers an opportunity to improve diagnostic accuracy and reproducibility as well as the classification reproducibility of SSNs. (orig.)

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00330-017-5171-7

Additional details

Identifiers

Publishing Information

Journal Title
European Radiology
Journal Volume
28
Journal Issue
5
Journal Page Range
p. 2124-2133
ISSN
0938-7994
CODEN
EURAE3