Frontiers in Oncology · 2020 · 11 citations · 25 references
MedicineClinical SciencesRadiologyDiagnostic ImagingUltrasonographyUltrasoundContrast-enhanced UltrasonographyContrast-enhanced UltrasoundDiagnostic UltrasonographyPulmonary ImagingUltrasound ImagingDiagnostic Accuracy StudiesDiagnostic Performance MetricsDiagnostic Testing AccuracyNoninvasive DiagnosticsPositive Predictive ValueTime-intensity Curve AnalysisTime-intensity CurvesUltrasound Lesion Assessment
INTRODUCTION: Worldwide, the incidence and mortality of lung cancer are at the highest levels, and the most lesions are located in the lung periphery. Despite extensive screening and diagnosis, the pathologic types of peripheral pulmonary lesions (PPLs) are difficult to diagnose by noninvasive examination. This study aimed to identify a novel index-time difference of arrival (TDOA)-to discriminate between benign inflammation and malignant PPLs. METHODS: Using contrast-enhanced ultrasound (CEUS), we retrospectively analyzed 96 patients with PPLs who had undergone biopsy to confirm the pathologic types. All data were collected from Dazhou Central Hospital between December 2012 and July 2019. The parameters of CEUS were analyzed by two assistant chief physicians of ultrasound diagnosis. Area under the receiver operating characteristic curve analysis, sensitivity, specificity, positive predictive value, and negative predictive value were calculated to assess the diagnostic ability of different indices. RESULTS: < 0.001). Compared with conventional time-intensity curve (TIC) indices, TDOA showed high diagnostic accuracy (area under the curve = 0.894). Moreover, conventional diagnostic indices did not affect the diagnostic performance of TDOA by adjusting the receiver operating characteristic curve. CONCLUSION: TDOA is feasible for the diagnosis of benign inflammation and malignant PPLs.
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Peter Goldstraw, Kari Chansky, John Crowley et al. · Journal of Thoracic Oncology · 2016 · 4.6K citations · Full text
Revisions in the International System for Staging Lung Cancer
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