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

Author:

Fujisaki Yosuke1,Fukukura Yoshihiko1,Kumagae Yuichi1,Ejima Fumitaka1,Yamagishi Ryoji1,Nakamura Shinya1,Kamizono Junki1,Kurahara Hiroshi2,Hashimoto Shinichi3,Yoshiura Takashi1

Affiliation:

1. Departments of Radiology

2. Digestive Surgery, Breast and Thyroid Surgery

3. Digestive and Lifestyle Diseases, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Endocrinology,Hepatology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference29 articles.

1. Cancer statistics, 2021;CA Cancer J Clin,2021

2. Trends in the treatment and outcome of pancreatic cancer in the United States;Ann Surg Oncol,2007

3. Cancer of the pancreas: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up;Ann Oncol,2015

4. Pancreatic adenocarcinoma;N Engl J Med,2014

5. Locally advanced pancreatic cancer;J Clin Oncol,2005

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