Implementation and Performance of Automated Software for Computing Right-to-Left Ventricular Diameter Ratio From Computed Tomography Pulmonary Angiography Images

J Comput Assist Tomogr. 2016 May-Jun;40(3):387-92. doi: 10.1097/RCT.0000000000000375.

Abstract

Objective: The aim of this study was to prospectively test the performance and potential for clinical integration of software that automatically calculates the right-to-left ventricular (RV/LV) diameter ratio from computed tomography pulmonary angiography images.

Methods: Using 115 computed tomography pulmonary angiography images that were positive for acute pulmonary embolism, we prospectively evaluated RV/LV ratio measurements that were obtained as follows: (1) completely manual measurement (reference standard), (2) completely automated measurement using the software, and (3 and 4) using a customized software interface that allowed 2 independent radiologists to manually adjust the automatically positioned calipers.

Results: Automated measurements underestimated (P < 0.001) the reference standard (1.09 [0.25] vs1.03 [0.35]). With manual correction of the automatically positioned calipers, the mean ratio became closer to the reference standard (1.06 [0.29] by read 1 and 1.07 [0.30] by read 2), and the correlation improved (r = 0.675 to 0.872 and 0.887). The mean time required for manual adjustment (37 [20] seconds) was significantly less than the time required to perform measurements entirely manually (100 [23] seconds).

Conclusions: Automated CT RV/LV diameter ratio software shows promise for integration into the clinical workflow for patients with acute pulmonary embolism.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms
  • Computed Tomography Angiography*
  • Heart Ventricles / anatomy & histology
  • Heart Ventricles / diagnostic imaging*
  • Humans
  • Machine Learning
  • Middle Aged
  • Observer Variation
  • Organ Size
  • Pattern Recognition, Automated / methods*
  • Pulmonary Artery / diagnostic imaging*
  • Pulmonary Embolism / diagnostic imaging*
  • Pulmonary Embolism / pathology
  • Radiographic Image Enhancement
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Software*