Characterization of hepatocellular carcinoma (HCC) lesions using a novel CT-based volume perfusion (VPCT) technique

Kaufmann, Sascha; Horger, Thomas; Oelker, Aenne; Kloth, Christopher; Nikolaou, Konstantin; Schulze, Maximilian; Horger, Marius

doi:10.1016/j.ejrad.2015.02.020

Cited by 41 publications

(26 citation statements)

References 40 publications

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“…However, a number of studies using other tumours have examined agreements between more than one mathematical model for deriving BV and/or BF. [7][8][9][10][11]13,14,20,21 Altogether, the agreements between the values were quite dissimilar even when the same mathematical model was used. As each mathematical model is built on certain assumptions, it follows that different types of tumours could give differing agreements if the one type of tumour conforms to the model's assumptions while another type of tumour violates these assumptions.…”

Section: Discussionmentioning

confidence: 97%

“…For various other tumours, BF always has good or excellent interobserver correlations, 10,28,32-39 while BV has mostly good or excellent correlations, 10,32,33,[35][36][37][38][39][40] but also some moderate interobserver correlations. 28,34 For permeability and PS, there were also mostly good and excellent interobserver correlations, 28,33,37,39 but also moderate correlations.…”

Section: Discussionmentioning

confidence: 99%

“…6 Only few clinical studies of solid tumours have compared DCE-CT parameters using two or more mathematical models to analyse the same patient scans. [7][8][9][10][11][12][13][14][15] Of these, two have attempted to correlate differently derived DCE-CT parameters to patient survival. 11,13 The aim of this explorative study was to identify which DCE-CT functional parameters, including time point(s), statistical parameter(s) and mathematical model(s) used in the calculation of the DCE-CT parameters, had the best correlations to patient outcome endpoints in metastatic renal cell carcinoma.…”

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confidence: 99%

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Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients

Mains

Donskov

Pedersen

et al. 2017

The British Journal of Radiology

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Patient outcome was used to identify the best functional imaging parameters in patients with metastatic renal cell carcinoma. Taking patient outcome and reproducibility into account, BV, BV and BF provide the most clinically meaningful information, whereas PS seems to be treatment dependent. Standardization of acquisition protocols and post-processing software is necessary for future clinical utilization. Advances in knowledge: Taking patient outcome and reproducibility into account, BV, BV and BF provide the most clinically meaningful information. PS seems to be treatment dependent.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients

Mains

Donskov

Pedersen

et al. 2017

The British Journal of Radiology

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“…For the input functions, a region of interest (ROI) was placed inside the abdominal aorta, portal vein, and spleen for HCC and for lymphoma patients within the section of the aorta closest to the tumour mass of interest. A ROI was drawn manually to encompass the maximal hypervascular tumour outline as previously described [17,18]. The area (cm 2 ) of each ROI was recorded.…”

Section: Vpct Analysismentioning

confidence: 99%

Iodine concentration as a perfusion surrogate marker in oncology: Further elucidation of the underlying mechanisms using Volume Perfusion CT with 80 kVp

et al. 2015

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• Iodine concentration derived from low kVp CT is regarded as perfusion surrogate • Correlation with Perfusion CT was performed to elucidate timing and histology dependencies • Highest correlation was present 7 sec after aortic peak enhancement in hepatocellular carcinoma • In lymphoma, highest correlation was calculated 3.5 sec after aortic peak enhancement • With these results, further optimization of Dual energy CT protocols is possible.

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“…One of the important features of HCC is an increase in arterial vascularization (13). CT and MRI may be inadequate for detecting such changes in tumor vascularity (14), and CT has limitations due to beam hardening artifacts.…”

Section: Discussionmentioning

confidence: 99%

Detection of Recurrent/Residual Hepatocellular Carcinoma: Single-Center Retrospective Comparative Study Between Parenchymal Blood Volume Mapping Using Cone Beam CT and Multiphase Dynamic CT

Kim

Kim²,

Han

et al. 2018

J Korean Soc Radiol

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Purpose:To evaluate the usefulness of cone beam computed tomography (CT)-based parenchymal blood volume (PBV) mapping for the detection of marginal recurrence or residual hepatocellular carcinoma, after transcatheter arterial chemoembolization (TACE), and to compare it with multiphase dynamic CT (MDCT). Materials and Methods: From March 2015 to October 2016, 26 patients with 49 iodized nodules who underwent TACE and a pre-interventional MDCT scan were enrolled in our study. We evaluated the diagnostic efficacies of PBV mapping using cone beam CT and MDCT in the detection of marginal recurrences or viable tumors. Results: The sensitivity, specificity, positive predictive value, and negative predictive value (NPV) of PBV mapping and MDCT were 100%, 96.7%, 94.7%, and 100%, and 77.9%, 93.5%, 87.5%, and 87.8%, respectively. The overall sensitivity for identifying local marginal recurrence was higher for PBV mapping than for MDCT (p < 0.005). The performances of PBV mapping and MDCT in the diagnosis of local marginal recurrence were significantly different (p = 0.037, McNemar test). Conclusion: Compared with MDCT, PBV mapping can significantly increase the detection of marginal recurrence or residual tumor after TACE because it is free of beam-hardening artifact. PBV mapping should be considered as a feasible modalityrelated tool for patients who have undergone chemoembolization. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Index terms

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Characterization of hepatocellular carcinoma (HCC) lesions using a novel CT-based volume perfusion (VPCT) technique

Cited by 41 publications

References 40 publications

Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients

Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients

Iodine concentration as a perfusion surrogate marker in oncology: Further elucidation of the underlying mechanisms using Volume Perfusion CT with 80 kVp

Detection of Recurrent/Residual Hepatocellular Carcinoma: Single-Center Retrospective Comparative Study Between Parenchymal Blood Volume Mapping Using Cone Beam CT and Multiphase Dynamic CT

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