Semi-quantitation of pulmonary perfusion heterogeneity on respiratory-gated inspiratory and expiratory perfusion SPECT in patients with pulmonary emphysema

Kawakami, Yoshiyuki; Suga, Kazuyoshi; Zaki, Mohammed; Iwanaga, Hideyuki; Yamashita, Tomio; Hayashi, Noriko; Matsunaga, Naofumi

doi:10.1007/s12149-007-0071-6

Cited by 5 publications

(1 citation statement)

References 24 publications

(54 reference statements)

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“…In our dataset, the threshold of 0.3 only was adopted in dividing the lung into high and low functional lung regions. Previous studies report that the threshold can be different, ranging from 20% to the value of the maximum functional lung image pixel ( Seppenwoolde et al, 2000 ; Kawakami et al, 2007 ; Lavrenkov et al, 2007 ; Ohno et al, 2011 ; Ding et al, 2018 ). Following their method, we have investigated the model performance using three omics features from the FWL regions using a list threshold from 0.2 to 0.8 with a step of 0.1, as shown in Supplementary Figure S4 .…”

Section: Discussionmentioning

confidence: 99%

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Ren

Guo

et al. 2022

Front. Pharmacol.

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Purpose: This study investigates the impact of lung function on radiation pneumonitis prediction using a dual-omics analysis method.Methods: We retrospectively collected data of 126 stage III lung cancer patients treated with chemo-radiotherapy using intensity-modulated radiotherapy, including pre-treatment planning CT images, radiotherapy dose distribution, and contours of organs and structures. Lung perfusion functional images were generated using a previously developed deep learning method. The whole lung (WL) volume was divided into function-wise lung (FWL) regions based on the lung perfusion functional images. A total of 5,474 radiomics features and 213 dose features (including dosiomics features and dose-volume histogram factors) were extracted from the FWL and WL regions, respectively. The radiomics features (R), dose features (D), and combined dual-omics features (RD) were used for the analysis in each lung region of WL and FWL, labeled as WL-R, WL-D, WL-RD, FWL-R, FWL-D, and FWL-RD. The feature selection was carried out using ANOVA, followed by a statistical F-test and Pearson correlation test. Thirty times train-test splits were used to evaluate the predictability of each group. The overall average area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, and f1-score were calculated to assess the performance of each group.Results: The FWL-RD achieved a significantly higher average AUC than the WL-RD group in the training (FWL-RD: 0.927 ± 0.031, WL-RD: 0.849 ± 0.064) and testing cohorts (FWL-RD: 0.885 ± 0.028, WL-RD: 0.762 ± 0.053, p < 0.001). When using radiomics features only, the FWL-R group yielded a better classification result than the model trained with WL-R features in the training (FWL-R: 0.919 ± 0.036, WL-R: 0.820 ± 0.052) and testing cohorts (FWL-R: 0.862 ± 0.028, WL-R: 0.750 ± 0.057, p < 0.001). The FWL-D group obtained an average AUC of 0.782 ± 0.032, obtaining a better classification performance than the WL-D feature-based model of 0.740 ± 0.028 in the training cohort, while no significant difference was observed in the testing cohort (FWL-D: 0.725 ± 0.064, WL-D: 0.710 ± 0.068, p = 0.54).Conclusion: The dual-omics features from different lung functional regions can improve the prediction of radiation pneumonitis for lung cancer patients under IMRT treatment. This function-wise dual-omics analysis method holds great promise to improve the prediction of radiation pneumonitis for lung cancer patients.

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Section: Discussionmentioning

confidence: 99%

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Ren

Guo

et al. 2022

Front. Pharmacol.

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Pulmonary function–morphologic relationships assessed by SPECT–CT fusion images

Suga¹

2012

Ann Nucl Med

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Pulmonary single photon emission computed tomography-computed tomography (SPECT-CT) fusion images provide objective and comprehensive assessment of pulmonary function and morphology relationships at cross-sectional lungs. This article reviewed the noteworthy findings of lung pathophysiology in wide-spectral lung disorders, which have been revealed on SPECT-CT fusion images in 8 years of experience. The fusion images confirmed the fundamental pathophysiologic appearance of lung low CT attenuation caused by airway obstruction-induced hypoxic vasoconstriction and that caused by direct pulmonary arterial obstruction as in acute pulmonary thromboembolism (PTE). The fusion images showed better correlation of lung perfusion distribution with lung CT attenuation changes at lung mosaic CT attenuation (MCA) compared with regional ventilation in the wide-spectral lung disorders, indicating that lung heterogeneous perfusion distribution may be a dominant mechanism of MCA on CT. SPECT-CT angiography fusion images revealed occasional dissociation between lung perfusion defects and intravascular clots in acute PTE, indicating the importance of assessment of actual effect of intravascular colts on peripheral lung perfusion. Perfusion SPECT-CT fusion images revealed the characteristic and preferential location of pulmonary infarction in acute PTE. The fusion images showed occasional unexpected perfusion defects in normal lung areas on CT in chronic obstructive pulmonary diseases and interstitial lung diseases, indicating the ability of perfusion SPECT superior to CT for detection of mild lesions in these disorders. The fusion images showed frequent "steal phenomenon"-induced perfusion defects extending to the surrounding normal lung of arteriovenous fistulas and those at normal lungs on CT in hepatopulmonary syndrome. Comprehensive assessment of lung function-CT morphology on fusion images will lead to more profound understanding of lung pathophysiology in wide-spectral lung disorders.

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Xenon-enhanced CT using subtraction CT: Basic and preliminary clinical studies for comparison of its efficacy with that of dual-energy CT and ventilation SPECT/CT to assess regional ventilation and pulmonary functional loss in smokers

Ohno

Yoshikawa

Takenaka

et al. 2017

European Journal of Radiology

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Semi-quantitation of pulmonary perfusion heterogeneity on respiratory-gated inspiratory and expiratory perfusion SPECT in patients with pulmonary emphysema

Abstract: FLVR curve analysis on gated SPECT appears useful for semi-quantitation of respiratory change of PPH in PE. Expiratory D index may better reflect the lung pathophysiology of PE than morphologic CT.

Cited by 5 publications

References 24 publications

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Pulmonary function–morphologic relationships assessed by SPECT–CT fusion images

Xenon-enhanced CT using subtraction CT: Basic and preliminary clinical studies for comparison of its efficacy with that of dual-energy CT and ventilation SPECT/CT to assess regional ventilation and pulmonary functional loss in smokers

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