Consolidated lung on contrast-enhanced chest CT: the use of spectral-detector computed tomography parameters in differentiating atelectasis and pneumonia

Konietzke, Philip; Steentoft, Hauke H.; Wagner, Willi L.; Albers, Jonas; Dullin, Christian; Skornitzke, Stephan; Stiller, Wolfram; Weber, Tim Frederik; Kauczor, Hans‐Ulrich; Wielpütz, Mark O.

doi:10.1016/j.heliyon.2021.e07066

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…This is similar to what has been described in human radiology for discriminating atelectatic lung from pneumonia. 24 Comparison between necropsy and PMCTA…”

Section: Pathology On Pmctamentioning

confidence: 99%

Veterinary forensic radiology–Development of a cost-effective and easily performed post mortem computed tomographic angiography protocol

Bryce¹,

Dandrieux²,

Lenard³

et al. 2022

Forensic Imaging

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“…This is similar to what has been described in human radiology for discriminating atelectatic lung from pneumonia. 24 Comparison between necropsy and PMCTA…”

Section: Pathology On Pmctamentioning

confidence: 99%

Veterinary forensic radiology–Development of a cost-effective and easily performed post mortem computed tomographic angiography protocol

Bryce¹,

Dandrieux²,

Lenard³

et al. 2022

Forensic Imaging

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“…High X-ray attenuation in CT scans is observed in lungs of the most severe patients with COVID [23] or pneumonia [24]. X-ray attenuation is measured in Hounsfield Units (HU).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach

Booker,

Paak,

Negahdar

2023

2023 45th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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We present the use of mean Hounsfield units within lungs as a metric of disease severity for the comparison of image analysis models in patients with COPD and COVID. We used this metric to assess the performance of a novel 3D global context attention network for image segmentation that produces lung masks from thoracic HRCT scans. Results showed that the mean Hounsfield units enable a detailed comparison of our 3D implementation of the GC-Net model to the V-Net segmentation algorithm. We implemented a biomimetic data augmentation strategy and used a quantitative severity metric to assess its performance. Framing our investigation around lung segmentation for patients with respiratory diseases allows analysis of the strengths and weaknesses of the implemented models in this context.Clinical Relevance -Mean Hounsfield units within the lung volume can be used as an objective measure of respiratory disease severity for the comparison of CT scan analysis algorithms.

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“…Numerous studies [17,[19][20][21] have demonstrated that chest CT is also of high value in the prognosis of PQ poisoning, while the optimal indicator remains unclear. Computed tomography (CT) number, also known as the Hounsfeld Unit, is a relative quantitative measurement of x-ray density [22]. It is the most frequently used quantitative CT parameter and widely used in radiological diagnosis, attenuation correction, and radiotherapy treatment planning [23].…”

Section: Introductionmentioning

confidence: 99%

Prognostic Value of the Average Lung CT Number in Patients with Acute Paraquat Poisoning

Jiang,

Liu,

et al. 2023

Emergency Medicine International

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Objective. The chest computed tomography (CT) examination is an important clinical examination in the diagnosis and monitoring of paraquat- (PQ-) induced lung injury. The aim of this study was to explore the prognostic value of the average lung CT number acquired by quantitative CT techniques in patients with acute paraquat poisoning in the early stages of the disease. Methods. 46 patients who suffered from acute PQ poisoning in the emergency department of the Nanjing Drum Tower Hospital from January 2015 to June 2020 were enrolled in the present study. The patients were divided into survival group (n = 21) and nonsurvival group (n = 25). Clinical data were collected from subjects who met the inclusion criteria, including general information, personal disease history, and laboratory test indicators. The average lung CT numbers of each patient were obtained by quantitative CT techniques. Receiver operating characteristic (ROC) analysis was conducted to assess the prognostic value of average lung CT number in patients with acute paraquat poisoning. Results. The average CT numbers of the middle-lung, lower-lung, and whole lung fields in the nonsurvival group were significantly higher than those of the survival group ( p < 0.0001 ). However, the upper-lung field was not significantly different between the two groups ( p = 0.7765 ). The AUCs of different levels ranged from 0.554 to 0.977, among which the lower-lung field presented the largest AUC of 0.977 (95% CI: 0.943∼1; cut-off value: −702Hu; sensitivity 96%; specificity, 90.5%; YI: 0.865), followed by the whole lung field 0.914 (95% CI: 0.830∼0.999; cut-off value: −727Hu; sensitivity 76%; specificity, 95.2%; YI: 0.712) and the middle-lung field 0.87 (95% CI: 0.768∼0.971; cut-off value: −779Hu; sensitivity 80%; specificity, 85.7%; YI: 0.657). Conclusion. The present study indicated that the average lung CT number could be used to evaluate the relationship between the severity of PQ-induced lung injury and prognosis, especially in the lower-lung field. However, further research is needed to draw a clear conclusion.

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Consolidated lung on contrast-enhanced chest CT: the use of spectral-detector computed tomography parameters in differentiating atelectasis and pneumonia

Cited by 7 publications

References 26 publications

Veterinary forensic radiology–Development of a cost-effective and easily performed post mortem computed tomographic angiography protocol

Veterinary forensic radiology–Development of a cost-effective and easily performed post mortem computed tomographic angiography protocol

Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach

Prognostic Value of the Average Lung CT Number in Patients with Acute Paraquat Poisoning

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