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

Aslan, Serdar; Nural, Mehmet Selim; Çamlıdağ, İlkay; Danacı, Murat

doi:10.1007/s00261-018-1776-9

Cited by 34 publications

(33 citation statements)

References 25 publications

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“…These results were quite different as compared with the elsewhere published results reporting BF and BV values in the tumorous tissue of 29.5 (mL min −1 100 g −1 ) and 59.72 (mL 100 g −1 ), respectively, both measured with the deconvolution model [ 24 ]. Meanwhile, our results are similar to those published by Aslan et al [ 28 ], who reported the mean values of BF and BV as 31.55 (11.54) and 2.8 (1.14), respectively.…”

Section: Discussionsupporting

confidence: 92%

Dynamic perfusion CT – A promising tool to diagnose pancreatic ductal adenocarcinoma

et al. 2021

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Background and objective This study deals with an important issue of setting the role and value of the dynamic computed tomography (CT) perfusion analysis in diagnosing pancreatic ductal adenocarcinoma (PDAC). The study aimed to assess the efficacy of perfusion CT in identifying PDAC, even isodense or hardly depicted in conventional multidetector computed tomography. Methods A total of 56 patients with PDAC and 56 control group patients were evaluated in this study. A local perfusion assessment, involving the main perfusion parameters, was evaluated for all the patients. Sensitivity, specificity, positive, and negative predictive values for each perfusion CT parameter were defined using cutoff values calculated using receiver operating characteristic curve analysis. We accomplished logistic regression to identify the probability of PDAC. Results Blood flow (BF) and blood volume (BV) values were significant independent diagnostic criteria for the presence of PDAC. If both values exceed the determined cutoff point, the estimated probability for the presence of PDAC was 97.69%. Conclusions Basic CT perfusion parameters are valuable in providing the radiological diagnosis of PDAC. The estimated BF and BV parameters may serve as independent diagnostic criteria predicting the probability of PDAC.

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Section: Discussionsupporting

confidence: 92%

Dynamic perfusion CT – A promising tool to diagnose pancreatic ductal adenocarcinoma

et al. 2021

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“…Regarding CT imaging protocol, we performed contrast-enhanced CT and perfusion CT during examinations with 15 min break to “clean” the tumor from the contrast agent. We applied a similar protocol as recently reported by Aslan et al [15] and Klauβ et al [16]. The relatively short period of time to clean-up the tumor from intravenous contrast media may serve as a source of bias.…”

Section: Discussionmentioning

confidence: 99%

Dynamic Perfusion Computed Tomography and Apparent Diffusion Coefficient as Potential Markers for Poorly Differentiated Pancreatic Adenocarcinoma

et al. 2021

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Introduction: Tumor grade, one of the most important risk factors for survival, is routinely determined after examining the biopsy material or a surgically removed specimen. The aim of the study was to analyze computed tomography (CT) perfusion parameters and diffusion-weighted imaging apparent diffusion coefficient (ADC) values in pancreatic ductal adenocarcinoma (PDAC) and to establish the diagnostic value of these modalities determining the tumor grade. Materials and Methods: A prospective clinical study included 56 subjects with PDAC. All the patients had a local perfusion assessment and ADC measurement of the tumor. For the prediction of poor tumor differentiation sensitivity, specificity, positive, and negative predictive values for each perfusion CT and ADC parameters based on cutoff values from ROC analysis were calculated. Results: Mean transit time (MTT) and ADC values were found to be independent prognosticators for the presence of G3 PDAC. MTT and ADC at the cutoff of 17.37 s and 1.15 × 10−3 mm2/s, respectively, appeared to be significant parameters discriminating against the differentiation grade of PDAC. If both values exceeded the defined cutoff point, the estimated probability for the presence of G3 PDAC was 89.29%. Conclusion: The MTT parameter, calculated with the deconvolution method, and the ADC value may serve as effective independent prognosticators identifying poorly differentiated PDAC.

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“…The data in the present study show that the CT value of MFPs at the venous phase was higher than non-hypervascular PNETs. We speculate it may be because MFPs have relatively higher blood volume, blood flow, and permeability surface area product (25).…”

Section: Discussionmentioning

confidence: 99%

Differentiation between non-hypervascular pancreatic neuroendocrine tumors and mass-forming pancreatitis using contrast-enhanced computed tomography

et al. 2020

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Background Non-hypervascular pancreatic neuroendocrine tumors (PNETs) showed slight or iso-enhancement in contrast-enhanced computed tomography (CE-CT), which shared similar imaging findings with mass-forming pancreatitis (MFPs). Purpose To explore the value of CT imaging features in differentiating the two diseases. Material and Methods Fifty-one patients with histologically proved MFPs (n = 27) or non-hypervascular PNETs (n = 24) were included. Two radiologists reviewed CT imaging findings and clinical features. Logistic regression analysis was performed to identify relevant features in differentiating non-hypervascular PNETs and MFPs. Receiver operating characteristic (ROC) curve analysis was used to show the performance of the optimal parameters in differentiating non-hypervascular PNETs and MFPs. Results A well-defined margin was more common in non-hypervascular PNETs ( P < 0.05) than that in MFPs. MFPs often occurred in older people ( P < 0.01) and the head–neck of the pancreas compared with non-hypervascular PNETs ( P < 0.05). Metastases only presented in non-hypervascular PNETs ( P < 0.05). CT values at venous phase and delay phase of MFPs were higher ( P = 0.010 and P = 0.029) than those in non-hypervascular PNETs. Logistic analysis showed gender, tumor margin, CT values at venous phase, and tumor components were independent predictors in differentiating the two lesions. The area under the curve (AUC) was 0.938 with a sensitivity of 87.5% and specificity of 92.6% for combined predicators. Conclusion Gender, tumor margin, CT values at venous phase, and tumor components were useful predicators in differentiating non-hypervascular PNETs and MFPs.

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

Abstract: pCT is a useful technology that can be helpful in overcoming the limitations of routine MDCT in diagnosing PDAC and characterization of isoattenuating lesions.

Cited by 34 publications

References 25 publications

Dynamic perfusion CT – A promising tool to diagnose pancreatic ductal adenocarcinoma

Dynamic perfusion CT – A promising tool to diagnose pancreatic ductal adenocarcinoma

Dynamic Perfusion Computed Tomography and Apparent Diffusion Coefficient as Potential Markers for Poorly Differentiated Pancreatic Adenocarcinoma

Differentiation between non-hypervascular pancreatic neuroendocrine tumors and mass-forming pancreatitis using contrast-enhanced computed tomography

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