Perfusion CT can predict tumoral grading of pancreatic adenocarcinoma

Eur J Radiol. 2013 Feb;82(2):227-33. doi: 10.1016/j.ejrad.2012.09.023. Epub 2012 Nov 3.

Abstract

Objectives: To describe perfusion CT features of locally advanced pancreatic ductal adenocarcinoma and to evaluate correlation with tumor grading.

Methods: Thirty-two patients with locally advanced pancreatic adenocarcinoma were included in this study. Lesions were evaluated by P-CT and biopsy after patient's informed consent. P-CT parameters have been assessed on a large single and on 6 small intratumoral ROIs. Values obtained have been compared and related to the tumor grading using Mann-Whitney U test. Sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy in predicting tumor grading have been calculated for cut-off values chosen by using ROC curves.

Results: Out of 32 lesions, 12 were classified as low grade and 20 as high grade. A statistically significant difference between high and low grade neoplasms were demonstrated for PEI and BV parameters. PEI and BV cut-off values were respectively 17.8 HU and 14.8 ml/100g. PEI identified high grade neoplasms with a 65% sensitivity, 92% specificity, 93% PPV, 61% NPV and 75% accuracy. BV identified high grade neoplasms with a 80% sensitivity, 75% specificity, 84% PPV, 69% NPV, 78% accuracy. Considering both PEI and BV, P-CT identified high grade lesions with a 60% sensitivity, 100% specificity, 100% PPV, 60% NPV and 75% accuracy.

Conclusions: PEI and BV perfusion CT parameters proved their efficiency in identifying high grade pancreatic adenocarcinoma.

MeSH terms

  • Adenocarcinoma / diagnostic imaging
  • Adenocarcinoma / pathology*
  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neoplasm Grading
  • Pancreatic Neoplasms / diagnostic imaging
  • Pancreatic Neoplasms / pathology*
  • Perfusion Imaging / methods*
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*