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1.
Acad Radiol ; 28(7): 988-994, 2021 07.
Article in English | MEDLINE | ID: mdl-32037256

ABSTRACT

RATIONALE AND OBJECTIVES: To assess if vessel suppression (VS) improves nodule detection rate, interreader agreement, and reduces reading time in oncologic chest computed tomography (CT). MATERIAL AND METHODS: One-hundred consecutive oncologic patients (65 male; median age 60y) who underwent contrast-enhanced chest CT were retrospectively included. For all exams, additional VS series (ClearRead CT, Riverrain Technologies, Miamisburg) were reconstructed. Two groups of three radiologists each with matched experience were defined. Each group evaluated the SD-CT as well as VS-CT. Each reader marked the presence, size, and position of pulmonary nodules and documented reading time. In addition, for the VS-CT the presence of false positive nodules had to be stated. Cohen's Kappa (k) was used to calculate the interreader-agreement between groups. Reading time was compared using paired t test. RESULTS: Nodule detection rate was significantly higher in VS-CT compared to the SD-CT (+21%; p <0.001). Interreader-agreement was higher in the VS-CT (k = 0.431, moderate agreement) compared to SD-CT (k = 0.209, fair agreement). Almost all VS-CT series had false positive findings (97-99 out of 100). Average reading time was significantly shorter in the VS-CT compared to the SD-CT (154 ± 134vs. 194 ± 126; 21%, p<0.001). CONCLUSIONS: Vessel suppression increases nodule detection rate, improves interreader agreement, and reduces reading time in chest CT of oncologic patients. Due to false positive results a consensus reading with the SD-CT is essential.


Subject(s)
Lung Neoplasms , Multiple Pulmonary Nodules , Solitary Pulmonary Nodule , Humans , Lung Neoplasms/diagnostic imaging , Male , Middle Aged , Retrospective Studies , Sensitivity and Specificity , Solitary Pulmonary Nodule/diagnostic imaging , Tomography, X-Ray Computed
2.
J Cardiovasc Comput Tomogr ; 15(2): 161-166, 2021.
Article in English | MEDLINE | ID: mdl-32798185

ABSTRACT

PURPOSE: To determine the reliability of subjective and objective quantification of mitral annular calcification (MAC) in elderly patients with severe aortic stenosis, to define quantitative sex- and age-related reference values of MAC, and to correlate quantitative MAC with mitral valve disease. METHODS: In this retrospective, IRB-approved study, we included 559 patients (268 females, median age 81 years, inter-quartile range 77-85 years) with severe aortic stenosis undergoing CT. Four independent readers performed subjective MAC categorization as follows: no, mild, moderate, and severe MAC. Two independent readers performed quantitative evaluation of MAC using the Agatston score method (AgatstonMAC). Mitral valve disease was determined by echocardiography. RESULTS: Subjective MAC categorization showed high inter-reader agreement for no (k â€‹= â€‹0.88) and severe MAC (k â€‹= â€‹0.75), whereas agreement for moderate (k â€‹= â€‹0.59) and mild (k â€‹= â€‹0.45) MAC was moderate. Intra-reader agreement for subjective MAC categorization was substantial (k â€‹= â€‹0.69 and 0.62). Inter- and intra-reader agreement for AgatstonMAC were excellent (ICC â€‹= â€‹0.998 and 0.999, respectively), with minor inconsistencies in MAC involving the left ventricular outflow tract/aortic valve. There were significantly more women than men with MAC (n â€‹= â€‹227, 85% versus n â€‹= â€‹209, 72%; p â€‹< â€‹0.001), with a significantly higher AgatstonMAC (median 597, range 81-2055 versus median 244; range 0-1565; p â€‹< â€‹0.001), particularly in patients ≥85 years of age. AgatstonMAC showed an area-under-the-curve of 0.84 to diagnose mitral stenosis, whereas there was no association of AgatstonMAC with mitral regurgitation (p â€‹> â€‹0.05). CONCLUSIONS: Our study in elderly patients with severe aortic stenosis shows that quantitative MAC scoring is more reliable than subjective MAC assessment. Women show higher AgatstonMAC scores than men, particularly in the elderly population. AgatstonMAC shows high accuracy to diagnose mitral stenosis.


Subject(s)
Aortic Valve Stenosis/diagnostic imaging , Aortic Valve/pathology , Calcinosis/diagnostic imaging , Mitral Valve Stenosis/diagnostic imaging , Mitral Valve/diagnostic imaging , Tomography, X-Ray Computed , Age Factors , Aged , Aged, 80 and over , Aortic Valve/diagnostic imaging , Female , Humans , Male , Observer Variation , Predictive Value of Tests , Registries , Reproducibility of Results , Retrospective Studies , Severity of Illness Index , Sex Factors
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