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1.
Br J Radiol ; 90(1076): 20160898, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28613927

ABSTRACT

OBJECTIVE: Testing the hypothesis that CT airway measurements could be influenced by total lung capacity (TLC), gender and height in normal individuals. METHODS: In this ethics committee-approved prospective trial, 87 healthy never-smoking volunteers who provided written informed consent were included. From a helical CT scan of the chest, the wall thickness (WT) and the lumen area were twice measured in the third- and fourth-generation airways by three readers using a dedicated software. In addition, the TLC was also measured using CT (TLCCT). The percentage of airway area occupied by the wall (WA%) and the square root of wall area at an internal perimeter of 10 mm (√WAPi10) were calculated. CT airway measurements were compared between genders by using a mixed linear model. The correlations between height, TLCCT and CT airway measurements were tested by using a Pearson correlation analysis. These correlations were arbitrarily considered as significant if there was a significant correlation observed for each of the six measurement sessions. RESULTS: √WAPi10, WT3rd and WT4th were significantly different between genders. For both genders, there was no significant correlation between any airway measurements and TLCCT. In females only, WT3rd and WT4th were significantly and negatively correlated with height. CONCLUSION: √WAPi10, WT3rd and WT4th are different in males and females. WT3rd and WT4th are correlated with height in females only but not with TLC or in males. Advances in knowledge: CT airway measurements are influenced by gender and by height in females only but not by TLC. They should be adjusted according to gender and height in females.


Subject(s)
Body Height/physiology , Lung/diagnostic imaging , Tomography, Spiral Computed/methods , Adolescent , Adult , Female , Humans , Male , Prospective Studies , Sex Factors , Total Lung Capacity/physiology , Young Adult
2.
J Thorac Imaging ; 31(1): 23-8, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26447870

ABSTRACT

PURPOSE: The aim of the study was to compare radiation dose and image quality between the "average" and the "very strong" automatic exposure control (AEC) strength curves. MATERIALS AND METHODS: Images reconstructed with filtered back-projection techniques and radiation dose data of unenhanced helical chest computed tomography (CT) examinations obtained at 2 hospitals (hospital A, hospital B) using the same scanner devices and acquisition protocols but different AEC strength curves were evaluated over a 3-month period. The selected AEC strength curve applied to "slim" patients (diameter <32 cm estimated from the attenuation automatically measured on the topogram) was "average" and "very strong" in hospital A and hospital B, respectively. Two radiologists with 13 and 24 years of experience scored the image quality of the lung parenchyma and the mediastinum on a 5-point scale. The patients' effective diameter, the delivered CT dose index volume, and dose-length products were recorded. RESULTS: A total of 410 patients were included. The average body mass index was 24.0 kg/m in hospital A and 24.8 kg/m in hospital B. There was no significant difference between hospitals with respect to age, sex ratio, weight, height, body mass index, effective diameters, and image quality scores for each radiologist (P ranging from 0.050 to 1.000). The mean CT dose index volume for the entire population was 2.0 mGy and was significantly lower in hospital B with the "very strong" AEC curve as compared with hospital A (-11%, P=0.001). The mean dose-length product delivered in this 70 kg-weight population was 68 mGy cm, corresponding to an effective dose of 0.95 mSv. CONCLUSION: Changing the AEC strength curve from "average" to "very strong" for slim patients maintains image quality and reduces the radiation dose to <1 mSv in routine chest CT examinations reconstructed with filtered back-projection techniques.


Subject(s)
Image Processing, Computer-Assisted/methods , Radiation Dosage , Radiographic Image Interpretation, Computer-Assisted/methods , Radiography, Thoracic/methods , Tomography, X-Ray Computed/methods , Female , Humans , Male , Middle Aged , Radiographic Image Enhancement
3.
J Occup Health ; 51(3): 210-22, 2009.
Article in English | MEDLINE | ID: mdl-19372629

ABSTRACT

PURPOSE: We have developed a classification of high-resolution computed tomography (HRCT) images for screening, surveillance and epidemiological studies of respiratory diseases caused by occupational and environmental factors. The proposed classification consists of three parts: a guideline explaining the elements of the classification scheme, a reading sheet, and reference films to aid in assessing thin-section CT films. We assessed the reliability of the proposed classification system by blinded, independent trial reading. MATERIALS AND METHODS: Seven independent radiologists and pulmonologists performed a trial reading to measure the reliability of the classification system using HRCT films from 27 pneumoconiosis patients and 7 normal controls. RESULTS: The agreement was moderate to good for rounded opacities (weighted kappa=0.68 and 0.64), irregular opacities (0.59, 0.48), honeycombing (0.65, 0.47), emphysema (0.76, 0.62) and large opacities (0.48, 0.52). Ground glass opacities (0.16, 0.20) showed poor to fair agreement. Intra-reader agreement of each of the seven readers was moderate to good (mean: weighted kappa=0.52-0.80) for parenchymal findings, but the agreement was relatively low (mean weighted kappa=0.52) for ground glass opacities. CONCLUSION: The proposed classification is able to describe early dust-related fibrotic changes and provide a semi-quantitative description of the HRCT features of major fibrotic changes in the parenchyma and pleura. Reliability, as measured by inter-reader agreement, was satisfactory.


Subject(s)
Lung Diseases/diagnostic imaging , Occupational Diseases , Tomography, X-Ray Computed/classification , Humans , Internationality , Reproducibility of Results , Retrospective Studies
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