Dynamic contrast-enhanced perfusion area detector CT for non-small cell lung cancer patients: Influence of mathematical models on early prediction capabilities for treatment response and recurrence after chemoradiotherapy

Ohno, Yoshiharu; Koyama, Hisanobu; Fujisawa, Yasuko; Yoshikawa, Takeshi; Seki, Shu; Sugihara, Naoki; Sugimura, Kazuro

doi:10.1016/j.ejrad.2015.11.009

Cited by 31 publications

(64 citation statements)

References 27 publications

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“…and Ohno et al . also demonstrated that DCTP analysis is useful in the prediction or early assessment of the treatment effect of chemoradiotherapy for non‐small cell lung cancer (NSCLC) …”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have proposed that DCTP analysis is valuable in clinical use to estimate the hemodynamics of lung cancer . Some of these studies involved inter‐observer agreement analysis to measure advanced NSCLC or intra‐observer and inter‐observer agreement analysis to measure lung nodules .…”

Section: Introductionmentioning

confidence: 99%

“…13,14 Li et al and Ohno et al also demonstrated that DCTP analysis is useful in the prediction or early assessment of the treatment effect of chemoradiotherapy for non-small cell lung cancer (NSCLC). 15,16 Previous studies have proposed that DCTP analysis is valuable in clinical use to estimate the hemodynamics of lung cancer. 9,[12][13][14][15][16][17] Some of these studies involved interobserver agreement analysis to measure advanced NSCLC or intra-observer and inter-observer agreement analysis to measure lung nodules.…”

Section: Introductionmentioning

confidence: 99%

“…15,16 Previous studies have proposed that DCTP analysis is valuable in clinical use to estimate the hemodynamics of lung cancer. 9,[12][13][14][15][16][17] Some of these studies involved interobserver agreement analysis to measure advanced NSCLC or intra-observer and inter-observer agreement analysis to measure lung nodules. [13][14][15] However, to our knowledge, tumor size-based observer agreement for measuring DCTP in lung cancer has not been reported in a major academic journal.…”

Section: Introductionmentioning

confidence: 99%

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Intra‐observer and inter‐observer agreements for the measurement of dual‐input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner‐air density of tumors

et al. 2017

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BackgroundThis study was conducted to assess intra‐observer and inter‐observer agreements for the measurement of dual‐input whole tumor computed tomography perfusion (DCTP) in patients with lung cancer.MethodsA total of 88 patients who had undergone DCTP, which had proved a diagnosis of primary lung cancer, were divided into two groups: (i) nodules (diameter ≤3 cm) and masses (diameter >3 cm) by size, and (ii) tumors with and without air density. Pulmonary flow, bronchial flow, and pulmonary index were measured in each group. Intra‐observer and inter‐observer agreements for measurement were assessed using intraclass correlation coefficient, within‐subject coefficient of variation, and Bland–Altman analysis.ResultsIn all lung cancers, the reproducibility coefficient for intra‐observer agreement (range 26.1–38.3%) was superior to inter‐observer agreement (range 38.1–81.2%). Further analysis revealed lower agreements for nodules compared to masses. Additionally, inner‐air density reduced both agreements for lung cancer.ConclusionThe intra‐observer agreement for measuring lung cancer DCTP was satisfied, while the inter‐observer agreement was limited. The effects of tumoral size and inner‐air density to agreements, especially between two observers, should be emphasized. In future, an automatic computer‐aided segment of perfusion value of the tumor should be developed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Intra‐observer and inter‐observer agreements for the measurement of dual‐input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner‐air density of tumors

et al. 2017

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“…This noninvasive and widely available methodology allows obtaining time concentration curves (TCCs) pertaining to a specific region of interest (ROI) by repeatedly acquiring the same portion of tissue during, and after, the intravenous injection of an iodinated contrast agent [2]. Through the analysis of TCCs, it is possible to achieve colorimetric maps representing values of perfusion parameters that can be used for multiple purposes such as monitoring vascular changes after the administration of antiangiogenic drugs [3], predicting tumour response [4, 5], or differentiating tumour subtypes [6]. …”

Section: Introductionmentioning

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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Simulation analysis for tumor radiotherapy based on three‐component mathematical models

Hong

Zhang

2019

J Applied Clin Med Phys

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Objective To setup a three‐component tumor growth mathematical model and discuss its basic application in tumor fractional radiotherapy with computer simulation. Method First, our three‐component tumor growth model extended from the classical Gompertz tumor model was formulated and applied to a fractional radiotherapy with a series of proper parameters. With the computer simulation of our model, the impact of some parameters such as fractional dose, amount of quiescent tumor cells, and α/β value to the effect of radiotherapy was also analyzed, respectively. Results With several optimal technologies, the model could run stably and output a series of convergent results. The simulation results showed that the fractional radiotherapy dose could impact the effect of radiotherapy significantly, while the amount of quiescent tumor cells and α/β value did that to a certain extent. Conclusions Supported with some proper parameters, our model can simulate and analyze the tumor radiotherapy program as well as give some theoretical instruction to radiotherapy personalized optimization.

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Dynamic contrast-enhanced perfusion area detector CT for non-small cell lung cancer patients: Influence of mathematical models on early prediction capabilities for treatment response and recurrence after chemoradiotherapy

Abstract: Mathematical models have significant influence on assessment for early prediction of treatment response, disease progression and overall survival using dynamic CE-perfusion ADCT for NSCLC patients treated with chemoradiotherapy.

Cited by 31 publications

References 27 publications

Intra‐observer and inter‐observer agreements for the measurement of dual‐input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner‐air density of tumors

Intra‐observer and inter‐observer agreements for the measurement of dual‐input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner‐air density of tumors

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

Simulation analysis for tumor radiotherapy based on three‐component mathematical models

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