Value of Dual-Energy Computed Tomography for Detecting Small Pancreatic Ductal Adenocarcinoma

Pancreas. 2022 Nov-Dec;51(10):1352-1358. doi: 10.1097/MPA.0000000000002207.

Abstract

Objective: The aim of the study is to evaluate the usefulness of virtual monoenergetic imaging (VMI) generated from dual-energy computed tomography (DECT) in detecting small pancreatic ductal adenocarcinomas (PDACs).

Methods: This study included 82 patients pathologically diagnosed with small PDAC (≤30 mm) and 20 without pancreatic tumors who underwent triple-phase contrast-enhanced DECT. To assess diagnostic performance for small PDAC detection via a receiver operating characteristic analysis, 3 observers reviewed 2 image sets (conventional computed tomography [CT] set and combined image set [conventional CT + 40-keV VMI from DECT]). The tumor-to-pancreas contrast-to-noise ratio was compared between conventional CT and 40-keV VMI from DECT.

Results: The area under the receiver operating characteristic curve of the 3 observers were 0.97, 0.96, and 0.97 in conventional CT set and 0.99, 0.99, and 0.99 in combined image set (P = 0.017-0.028), respectively. The combined image set yielded a better sensitivity than the conventional CT set (P = 0.001-0.023), without a loss of specificity (all P > 0.999). The tumor-to-pancreas contrast-to-noise ratios of 40-keV VMI from DECT were approximately threefold higher than those of conventional CT at all phases.

Conclusions: The addition of 40-keV VMI from DECT to conventional CT had better sensitivity for detecting small PDACs without compromising specificity.

MeSH terms

  • Algorithms
  • Carcinoma, Pancreatic Ductal* / diagnostic imaging
  • Humans
  • Pancreatic Neoplasms* / diagnostic imaging
  • Radiography, Dual-Energy Scanned Projection* / methods
  • Retrospective Studies
  • Signal-To-Noise Ratio
  • Tomography, X-Ray Computed / methods

Supplementary concepts

  • Anophthalmia with pulmonary hypoplasia