Quantitative Assessment of Effects of Motion Compensation for Liver and Lung Tumors in CT Perfusion

Bevilacqua, Alessandro; Barone, Domenico; Malavasi, Silvia; Gavelli, Giampaolo

doi:10.1016/j.acra.2014.06.005

Cited by 18 publications

(8 citation statements)

References 22 publications

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“…and G.G., 25-year experience each) on a reference slice, where the tumour showed the widest area, similar to what was done in [ 20 , 27 , 28 ]. Then, for each lesion, the radiologists performed a 3D alignment according to the procedure described in [ 29 ]. In order to obtain the TCCs relative to each voxel, the values of the temporal sequence were fitted using the sigmoid-shape model, arising from the Hill Equation [ 30 ], and the random sampling method described in [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow

Bevilacqua

Gavelli

Baiocco

et al. 2018

BioMed Research International

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Objectives To characterize tumour baseline blood flow (BF) in two lung cancer subtypes, adenocarcinoma (AC) and squamous cell carcinoma (SCC), also investigating those “borderline” cases whose perfusion value is closer to the group mean of the other histotype. Materials and Methods 26 patients (age range 36-81 years) with primary Non-Small Cell Lung Cancer (NSCLC), subdivided into 19 AC and 7 SCC, were enrolled in this study and underwent a CT perfusion, at diagnosis. BF values were computed according to the maximum-slope method and unreliable values (e.g., arising from artefacts or vessels) were automatically removed. The one-tail Welch's t-test (p-value <0.05) was employed for statistical assessment. Results At diagnosis, mean BF values (in [mL/min/100g]) of AC group [(83.5 ± 29.4)] are significantly greater than those of SCC subtype [(57.0 ± 27.2)] (p-value = 0.02). However, two central SCCs undergoing artefacts from vena cava and pulmonary artery have an artificially increased mean BF. Conclusions The different hemodynamic behaviour of AC and SCC should be considered as a biomarker supporting treatment planning to select the patients, mainly with AC, that would most benefit from antiangiogenic therapies. The significance of results was achieved by automatically detecting and excluding artefactual BF values.

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Section: Methodsmentioning

confidence: 99%

CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow

Bevilacqua

Gavelli

Baiocco

et al. 2018

BioMed Research International

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“…where M is the number of samples of the TCC considered [23]. For each patient, the voxel-based baseline values and single and dual input perfusion parameters were computed for E 0 and each E τ exploiting the maximum slope method.…”

Section: Assessment Of Results and Statistical Analysesmentioning

confidence: 99%

“…A second set of approaches works in post-processing, relying on manual or automatic alignments methods [18,19], although in the literature there is a lack of standard or widely acknowledged registration algorithms [20,21]. Finally, a third group of recent approaches acts at the methodological level focusing on reliability issues in general, for instance, improving acquisition sampling to prevent the effects of motion [22], quantifying and removing residual artefacts [23,24], and providing measurements of perfusion reliability [25]. Nonetheless, all these problems are indissolubly related to the data quality issue and, ultimately, to the dose administered to patients.…”

Section: Introductionmentioning

confidence: 99%

The effects of baseline length in Computed Tomography perfusion of liver

Malavasi

Bevilacqua

Gavelli

et al. 2020

Biomedical Signal Processing and Control

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“…Voxel-based BF values, expressed in mL/min/100 g, were computed for each slice, using an in-house algorithm developed in Matlab (MathWorks, Natick, MA), implementing the maximum slope method [35] and represented through the use of colorimetric maps. Misleading perfusion values computed on poorly representative TCCs (due to a bad fit) were excluded from the analysis according to what is reported in [16, 36], in order to obtain more reliable results. The corresponding voxels are displayed in the colour maps with the “pink” colour.…”

Section: Methodsmentioning

confidence: 99%

Multislice Analysis of Blood Flow Values in CT Perfusion Studies of Lung Cancer

Malavasi

Barone

Gavelli

et al. 2017

BioMed Research International

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Objectives. Tumour heterogeneity represents a key issue in CT perfusion (CTp), where all studies are usually based on global mean or median values of perfusion maps, often computed on whole tumour. We sought to determine whether, and to what extent, such global values can be representative of tumour heterogeneity, with respect to single slices, and could be used for therapy assessment. Materials and Methods. Twelve patients with one primary non-small cell lung cancer lesion were enrolled in this study, for a total amount of 26 CTp examinations and 118 slices. Mean and median blood flow (BF) values, calculated voxel-based, were computed on each slice and the whole tumour. To measure functional heterogeneity, entropy was calculated on BF values as well. Results. Most of the slices were not represented by the global BF values computed on the whole tumour. In addition, there are a number of lesions having equivalent global BF values, but they are composed of slices having very different heterogeneity distributions, that is, entropy values. Conclusions. Global mean/median BF values of the single slices separately should be considered for clinical assessment, only if interpreted through entropy computed on BF values. The numerical equivalence between global BF values of different lesions may correspond to different clinical status, thus inducing possible errors in choice of therapy when considering global values only.

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Quantitative Assessment of Effects of Motion Compensation for Liver and Lung Tumors in CT Perfusion

Cited by 18 publications

References 22 publications

CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow

CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow

The effects of baseline length in Computed Tomography perfusion of liver

Multislice Analysis of Blood Flow Values in CT Perfusion Studies of Lung Cancer

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