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Your search keyword '"Mets, Onno M."' showing total 7 results
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7 results on '"Mets, Onno M."'

2. Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?

Author

Researchgr. Systems Radiology, MS Radiologie, Cancer, Circulatory Health, Infection & Immunity, Mets, Onno M., Chung, Kaman, Scholten, Ernst Th, Veldhuis, Wouter B., Prokop, M., van Ginneken, Bram, Schaefer-Prokop, Cornelia M., de Jong, Pim A., Researchgr. Systems Radiology, MS Radiologie, Cancer, Circulatory Health, Infection & Immunity, Mets, Onno M., Chung, Kaman, Scholten, Ernst Th, Veldhuis, Wouter B., Prokop, M., van Ginneken, Bram, Schaefer-Prokop, Cornelia M., and de Jong, Pim A.

Published
2018

4. Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population

Author

Researchgr. Systems Radiology, Circulatory Health, Beeldverwerking ISI, Cancer, Mets, Onno M., de Jong, Pim A., Scholten, Ernst Th, Chung, Kaman, van Ginneken, Bram, Schaefer-Prokop, Cornelia M., Researchgr. Systems Radiology, Circulatory Health, Beeldverwerking ISI, Cancer, Mets, Onno M., de Jong, Pim A., Scholten, Ernst Th, Chung, Kaman, van Ginneken, Bram, and Schaefer-Prokop, Cornelia M.

Published
2017

6. Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance - a survey study

Author

Researchgr. Systems Radiology, Circulatory Health, Infection & Immunity, Mets, Onno M, de Jong, Pim A, Chung, Kaman, Lammers, Jan-Willem J, van Ginneken, Bram, Schaefer-Prokop, Cornelia M, Researchgr. Systems Radiology, Circulatory Health, Infection & Immunity, Mets, Onno M, de Jong, Pim A, Chung, Kaman, Lammers, Jan-Willem J, van Ginneken, Bram, and Schaefer-Prokop, Cornelia M

Published
2016

7. Early identification of small airways disease on lung cancer screening CT: comparison of current air trapping measures.

Author

Mets OM, Zanen P, Lammers JW, Isgum I, Gietema HA, van Ginneken B, Prokop M, and de Jong PA

Subjects
Aged, Humans, Male, Middle Aged, Pulmonary Emphysema diagnosis, Pulmonary Emphysema diagnostic imaging, Pulmonary Emphysema etiology, Respiratory Function Tests, Smoking adverse effects, Early Detection of Cancer, Lung diagnostic imaging, Lung Neoplasms diagnosis, Tomography, X-Ray Computed
Abstract

Background: Lung cancer screening CT scans might provide valuable information about air trapping as an early indicator of smoking-related lung disease. We studied which of the currently suggested measures is most suitable for detecting functionally relevant air trapping on low-dose computed tomography (CT) in a population of subjects with early-stage disease., Methods: This study was ethically approved and informed consent was obtained. Three quantitative CT air trapping measures were compared against a functional reference standard in 427 male lung cancer screening participants. This reference standard for air trapping was derived from the residual volume over total lung capacity ratio (RV/TLC) beyond the 95th percentile of predicted. The following CT air trapping measures were compared: expiratory to inspiratory relative volume change of voxels with attenuation values between -860 and -950 Hounsfield Units (RVC(-860 to -950)), expiratory to inspiratory ratio of mean lung density (E/I-ratio(MLD)) and percentage of voxels below -856 HU in expiration (EXP(-856)). Receiver operating characteristic (ROC) analysis was performed and area under the ROC curve compared., Results: Functionally relevant air trapping was present in 38 (8.9 %) participants. E/I-ratio(MLD) showed the largest area under the curve (0.85, 95 % CI 0.813-0.883), which was significantly larger than RVC(-860 to -950) (0.703, 0.657-0.746; p < 0.001) and EXP(-856) (0.798, 0.757-0.835; p = 0.002). At the optimum for sensitivity and specificity, E/I-ratio(MLD) yielded an accuracy of 81.5 %., Conclusions: The expiratory to inspiratory ratio of mean lung density (E/I-ratio(MLD)) is most suitable for detecting air trapping on low-dose screening CT and performs significantly better than other suggested quantitative measures.

Published
2012
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