Analysis of Pancreatobiliary and Intestinal Type Periampullary Carcinomas Using Volumetric Apparent Diffusion Coefficient Histograms.

Apparent diffusion coefficient Intestinal-type periampullary adenocarcinoma Magnetic resonance imaging Pancreatobiliary-type periampullary adenocarcinoma Volumetric histogram analysis

Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
09 2023
Historique:
received: 02 04 2023
revised: 21 04 2023
accepted: 22 04 2023
medline: 15 9 2023
pubmed: 22 5 2023
entrez: 21 5 2023
Statut: ppublish

Résumé

Magnetic resonance imaging plays an important role in the evaluation of patients with known or suspected periampullary masses. The utilization of volumetric apparent diffusion coefficient (ADC) histogram evaluation for the entire lesion eradicates the potential for subjectivity in the region of interest placement, thus guaranteeing the accuracy of computation and repeatability. To investigate the value of volumetric ADC histogram analysis in the differentiation of intestinal-type (IPAC) and pancreatobiliary-type periampullary adenocarcinomas (PPAC). This retrospective study included 69 patients with histopathologically confirmed periampullary adenocarcinoma (54 PPAC and 15 IPAC). Diffusion-weighted imaging was obtained at b values of 1000 mm²/s. The histogram parameters of ADC values, comprising the mean, minimum, maximum, 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles, as well as skewness, kurtosis, and variance, were calculated independently by two radiologists. Using the interclass correlation coefficient, the interobserver agreement was evaluated. The ADC parameters for the PPAC group were all lower than those of the IPAC group. The PPAC group had higher variance, skewness, and kurtosis than the IPAC group. However, the difference between the kurtosis (P = .003), the 5th (P = .032), 10th (P = .043), and 25th (P = .037) percentiles of ADC values was statistically significant. The area under the curve (AUC) of the kurtosis was the highest (AUC=0.752; cut-off value=-0.235; sensitivity=61.1%; specificity=80.0%). Volumetric ADC histogram analysis with b values of 1000 mm²/s can discriminate subtypes noninvasively before surgery.

Identifiants

pubmed: 37211479
pii: S1076-6332(23)00228-3
doi: 10.1016/j.acra.2023.04.031
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

S238-S245

Informations de copyright

Copyright © 2023 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mustafa Orhan Nalbant (MO)

University of Health Sciences, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Radiology Department, Tevfik Saglam Cad. No: 11, Zuhuratbaba, 34147 Bakırkoy, Istanbul, Turkey. Electronic address: m.nalbant@saglik.gov.tr.

Ozkan Oner (O)

University of Health Sciences, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Radiology Department, Tevfik Saglam Cad. No: 11, Zuhuratbaba, 34147 Bakırkoy, Istanbul, Turkey.

Ozlem Akinci (O)

University of Health Sciences, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Radiology Department, Tevfik Saglam Cad. No: 11, Zuhuratbaba, 34147 Bakırkoy, Istanbul, Turkey.

Elif Hocaoglu (E)

University of Health Sciences, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Radiology Department, Tevfik Saglam Cad. No: 11, Zuhuratbaba, 34147 Bakırkoy, Istanbul, Turkey.

Ercan Inci (E)

University of Health Sciences, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Radiology Department, Tevfik Saglam Cad. No: 11, Zuhuratbaba, 34147 Bakırkoy, Istanbul, Turkey.

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