Comparison between the deconvolution and maximum slope 64-MDCT perfusion analysis of the esophageal cancer: Is conversion possible?

Djurić-Stefanović, Aleksandra; Šaranović, Djordjije; Mašulović, Dragan; Ivanović, Aleksandar; Peško, P

doi:10.1016/j.ejrad.2013.05.038

Cited by 17 publications

(18 citation statements)

References 28 publications

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“…The use of perfusion-CT in other tumour tissues as reported by several previous studies has already demonstrated significant differences between the different mathematical models [11–13, 25]. A study from Djuric-Stojanovic et al, examining the perfusion parameters of oesophageal carcinoma, yielded a similar tendency with blood flow values showing significantly higher values for the compartmental analysis [13].…”

Section: Resultsmentioning

confidence: 65%

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CT-perfusion measurements in pancreatic carcinoma with different kinetic models: Is there a chance for tumour grading based on functional parameters?

et al. 2016

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BackgroundTo evaluate the interchangeability of perfusion parameters obtained with help of models used for post-processing of perfusion-CT images in pancreatic adenocarcinoma and to determine the mean values and ranges of perfusion in different tumour gradings.MethodsPerfusion-CT imaging was performed prospectively in 48 consecutive patients with pancreatic adenocarcinoma. In 42 patients biopsy-proven tumor grading was available (4 × G1/24 × G2/14 × G3/6× unknown). Images were post-processed using a model based on the maximum-slope (MS) approach (blood flow-BFMS) + Patlak analysis (P) (blood volume [BVP] and permeability [k-transP]), as well as a model with deconvolution-based (D) analysis (BFD, BVD and k-transD). 50 mL contrast agent were applied with a delay time of 7 s. Perfusion parameters were compared using intraclass correlation coefficient (ICC), the Wilcoxon matched-pairs test and Bland-Altman plots.ResultsForty eight VOIs of tumours were outlined and analysed. Moderate to good ICC values were found for the perfusion parameters (ICC = 0.62–0.75). Wilcoxon matched-pairs revealed significantly lower values (P < .001 and 0.008), for the BF and BV values obtained using the maximum-slope approach + Patlak analysis compared to deconvolution based analysis. For k-trans measurement, deconvolution revealed significantly lower values (P < 0.001). Different histologic subgroups (G1-G3) did not show significantly different functional parameters.ConclusionThere were significant differences in the perfusion parameters obtained using the different calculation methods, and therefore these parameters are not directly interchangeable. However, the magnitude of pairs of parametric values is in constant relation to each other enabling the use of any of these methods. VPCT parameters did not allow for histologic classification.

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Section: Resultsmentioning

confidence: 65%

“…In other tumour tissues, several studies have already demonstrated significant differences in the calculated perfusion values between the different mathematical models [11–13]. …”

Section: Introductionmentioning

confidence: 99%

CT-perfusion measurements in pancreatic carcinoma with different kinetic models: Is there a chance for tumour grading based on functional parameters?

et al. 2016

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“…This is partly in concordance with our results: we found weaker correlation of the SPV with the BF, which could be the consequence of different CT perfusion algorithm that we used for the analysis. It was proved that using different CT perfusion algorithms resulted in significantly different and non-interchangeable CT perfusion parameter values of the same tumor [14][15][16]. This may be the main reason to introduce the SPV.…”

Section: Discussionmentioning

confidence: 99%

“…The difficulty is that different perfusion parameter values were reported in various studies if different methods of CT perfusion data analysis were performed, probably due to distinct kinetic models implemented in the commercial CT perfusion software platforms provided by the manufacturers [1][2][3][4][5][6][7][8][9][10][11][12][13]. Moreover, a few studies proved that values of the corresponding perfusion parameters of the same tumor, obtained using different CT perfusion algorithms were not interchangeable [14][15][16]. For this reason, among others, the standardized perfusion value (SPV) has been proposed as a universal indicator of tissue perfusion, in order to simplify, unify and allow the interchangeability among the perfusion measurements and comparison between perfusion and metabolism of tumor [17].…”

Section: Introductionmentioning

confidence: 99%

“…To our knowledge, until now there has been no literature data of the SPV for the esophageal carcinoma. All CT perfusion measurements that were reported in several available studies for the esophageal and gastric cancer were performed using the deconvolution or maximum slope-based commercial CT perfusion software [8,9,13,16,[18][19][20][21]. Thus, the first aim of this study was to estimate the SPV of the esophageal carcinoma, to compare it with the SPV of healthy tissue (skeletal muscle), and assess its relationship with the clinicopathological characteristics: tumor volume, TNM stage and histological type.…”

Section: Introductionmentioning

confidence: 99%

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Standardized perfusion value of the esophageal carcinoma and its correlation with quantitative CT perfusion parameter values

Djurić-Stefanović

Šaranović

Šobić-Šaranović

et al. 2015

European Journal of Radiology

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Comparative analysis of two mathematical algorithms for the calculation of computed tomography perfusion parameters in the healthy and diseased pancreas

Pan

Wang

Chen

et al. 2021

J Applied Clin Med Phys

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Background: The maximum slope (MS) and deconvolution (DC) algorithms are commonly used to post-process computed tomography perfusion (CTP) data. This study aims to analyze the differences between MS and DC algorithms for the calculation of pancreatic CTP parameters. Methods: The pancreatic CTP data of 57 patients were analyzed using MS and DC algorithms. Two blinded radiologists calculated pancreatic blood volume (BV) and blood flow (BF). Interobserver correlation coefficients were used to evaluate the consistency between two radiologists. Paired t-tests, Pearson linear correlation analysis, and Bland-Altman analysis were performed to evaluate the correlation and consistency of the CTP parameters between the two algorithms. Results: Among the 30 subjects with normal pancreas, the BV values in the three pancreatic regions were higher in the case of the MS algorithm than in the case of the DC algorithm (t = 39.35, p < 0.001), and the BF values in the three pancreatic regions were slightly higher for the MS algorithm than for the DC algorithm (t = 2.19, p = 0.031). Similarly, among the 27 patients with acute pancreatitis, the BV values obtained using the MS methods were higher than those obtained using the DC methods (t = 54.14, p < 0.001). Furthermore, the BF values were higher with the MS methods than the DC methods (t = 8.45, p < 0.001). Besides, Pearson linear correlation and Bland-Altman analysis showed that the BF and BV values showed a good correlation and a bad consistency between the two algorithms. Conclusions: The BF and BV values measured using MS and DC algorithms had a good correlation but were not consistent. K E Y W O R D S algorithm, pancreatic perfusion, tomography, X-ray computed BACKGROUNDWith the continuous expansion of the clinical applications of multi-slice spiral computed tomography (CT), CT perfusion (CTP) imaging has become increasingly important in the diagnosis, therapeutic monitoring, andThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Comparison between the deconvolution and maximum slope 64-MDCT perfusion analysis of the esophageal cancer: Is conversion possible?

Cited by 17 publications

References 28 publications

CT-perfusion measurements in pancreatic carcinoma with different kinetic models: Is there a chance for tumour grading based on functional parameters?

CT-perfusion measurements in pancreatic carcinoma with different kinetic models: Is there a chance for tumour grading based on functional parameters?

Standardized perfusion value of the esophageal carcinoma and its correlation with quantitative CT perfusion parameter values

Comparative analysis of two mathematical algorithms for the calculation of computed tomography perfusion parameters in the healthy and diseased pancreas

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