Efficacy of perfusion CT in differentiating of pancreatic ductal adenocarcinoma from mass-forming chronic pancreatitis and characterization of isoattenuating pancreatic lesions.


Journal

Abdominal radiology (New York)
ISSN: 2366-0058
Titre abrégé: Abdom Radiol (NY)
Pays: United States
ID NLM: 101674571

Informations de publication

Date de publication:
02 2019
Historique:
pubmed: 19 9 2018
medline: 31 3 2020
entrez: 19 9 2018
Statut: ppublish

Résumé

Multidetector computed tomography (MDCT) is routinely used in the diagnosis of pancreatic ductal adenocarcinoma (PDAC), but it may be inadequate in some cases, especially mass-forming chronic pancreatitis (MFCP) and isoattenuating pancreatic lesions. Perfusion CT (pCT) may help resolve this problem. The aim of this study was to evaluate whether pCT could help differentiating PDAC from MFCP and in characterization of isoattenuating pancreatic lesions. This prospective study included 89 cases of pancreatic lesions detected by MDCT and further analyzed with pCT. Sixty-one cases with final pathological diagnosis PDAC and 12 cases with MFCP were included from the study. Blood volume (BV), blood flow (BF), mean transit time (MTT), and permeability surface area product (PS) maps were obtained. Perfusion values obtained from the lesions and normal parenchyma were compared. Compared with normal parenchyma, BV, BF, PS were lower and MTT was longer in PDAC and MFCP (p < 0.05). Compared with MFCP, BV, BF, PS were lower and MTT was longer in PDAC (p < 0.001). Compared with normal parenchyma, BV, BF, PS were lower and MTT was longer in isoattenuating lesions, (p < 0.001). Cutoff values of 7.60 mL/100 mL, 64.43 mL/100 mL/min, 28.08 mL/100 mL/min for BV, BF, PS, respectively, provided 100% sensitivity and specificity and 7.47 s for MTT provided 98.3% sensitivity, 80% specificity for distinguishing PDAC from MFCP. pCT is a useful technology that can be helpful in overcoming the limitations of routine MDCT in diagnosing PDAC and characterization of isoattenuating lesions.

Identifiants

pubmed: 30225610
doi: 10.1007/s00261-018-1776-9
pii: 10.1007/s00261-018-1776-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

593-603

Auteurs

Serdar Aslan (S)

Radiology Clinic, Turhal State Hospital, Turhal, 60300, Tokat, Turkey. serdaraslan28@hotmail.com.

Mehmet Selim Nural (MS)

Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.

Ilkay Camlidag (I)

Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.

Murat Danaci (M)

Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.

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Classifications MeSH