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Influence of slice thickness on result of CT histogram analysis in indeterminate adrenal masses
Z. Tüdös, P. Kučera, P. Szász, I. Hartmann, K. Langová, J. Škarda, F. Čtvrtlík,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
17-31847A
Ministerstvo Zdravotnictví Ceské Republiky - International
NV17-31847A
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
NLK
ProQuest Central
od 2016 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2016-01-01 do Před 1 rokem
Nursing & Allied Health Database (ProQuest)
od 2000-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 2000-01-01 do Před 1 rokem
- MeSH
- adenom kůry nadledvin diagnostické zobrazování MeSH
- diferenciální diagnóza MeSH
- dospělí MeSH
- feochromocytom diagnostické zobrazování MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- nádory nadledvin diagnostické zobrazování MeSH
- počítačová rentgenová tomografie metody MeSH
- prediktivní hodnota testů MeSH
- retrospektivní studie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- senzitivita a specificita MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
PURPOSE: The aim was to determine the optimal slice thickness of CT images and the optimal threshold of negative voxels for CT histogram analysis to distinguish adrenal adenomas from non-adenomas with a mean attenuation more than 10 Hounsfield units (HU). METHODS: Volume CT histogram analysis of 83 lipid-poor adenomas and 80 non-adenomas was performed retrospectively. The volume of interest was extracted from each adrenal lesion, and the mean attenuation, standard deviation (SD), and percentage of voxels with a negative CT value were recorded using reconstructions with different slice thicknesses (5 mm, 2.5 mm, 1.25 mm). The percentage of negative voxels was correlated with SD as a measure of image noise and with the reference splenic tissue values. The sensitivity, specificity, and positive predictive value (PPV) for the identification of adenomas were calculated using reconstructions with different slice thicknesses and three different thresholds of negative voxels (1%, 5%, 10%). RESULTS: The percentage of negative voxels increased with a thinner slice thickness and correlated with increasing CT image noise in adenomas, non-adenomas, and spleen. Using a threshold of 10% negative voxels and a slice thickness of 5 mm, we reached a sensitivity of 53.0%, specificity of 98.8% and the highest PPV, and thus we propose this combination for clinical use. Other combinations achieved a clearly lower specificity and PPV as a result of the increasing noise in CT images. CONCLUSION: The CT slice thickness significantly affects the result and diagnostic value of histogram analysis. Thin CT slice reconstructions are inappropriate for histogram analysis.
Citace poskytuje Crossref.org
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- $a Tüdös, Zbyněk $u Department of Radiology, University Hospital and Faculty of Medicine and Dentistry, Palacky University, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
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- $a PURPOSE: The aim was to determine the optimal slice thickness of CT images and the optimal threshold of negative voxels for CT histogram analysis to distinguish adrenal adenomas from non-adenomas with a mean attenuation more than 10 Hounsfield units (HU). METHODS: Volume CT histogram analysis of 83 lipid-poor adenomas and 80 non-adenomas was performed retrospectively. The volume of interest was extracted from each adrenal lesion, and the mean attenuation, standard deviation (SD), and percentage of voxels with a negative CT value were recorded using reconstructions with different slice thicknesses (5 mm, 2.5 mm, 1.25 mm). The percentage of negative voxels was correlated with SD as a measure of image noise and with the reference splenic tissue values. The sensitivity, specificity, and positive predictive value (PPV) for the identification of adenomas were calculated using reconstructions with different slice thicknesses and three different thresholds of negative voxels (1%, 5%, 10%). RESULTS: The percentage of negative voxels increased with a thinner slice thickness and correlated with increasing CT image noise in adenomas, non-adenomas, and spleen. Using a threshold of 10% negative voxels and a slice thickness of 5 mm, we reached a sensitivity of 53.0%, specificity of 98.8% and the highest PPV, and thus we propose this combination for clinical use. Other combinations achieved a clearly lower specificity and PPV as a result of the increasing noise in CT images. CONCLUSION: The CT slice thickness significantly affects the result and diagnostic value of histogram analysis. Thin CT slice reconstructions are inappropriate for histogram analysis.
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