کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3989575 1258684 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Noninvasive Risk Stratification of Lung Adenocarcinoma using Quantitative Computed Tomography
ترجمه فارسی عنوان
تسریع خطر غیر شکنی آدنوکارسینوم ریه با استفاده از تجمع کامپیوتری کم
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
چکیده انگلیسی

IntroductionLung cancer remains the leading cause of cancer-related deaths in the United States and worldwide. Adenocarcinoma is the most common type of lung cancer and encompasses lesions with widely variable clinical outcomes. In the absence of noninvasive risk stratification, individualized patient management remains challenging. Consequently a subgroup of pulmonary nodules of the lung adenocarcinoma spectrum is likely treated more aggressively than necessary.MethodsConsecutive patients with surgically resected pulmonary nodules of the lung adenocarcinoma spectrum (lesion size ⩽3 cm, 2006–2009) and available presurgical high-resolution computed tomography (HRCT) imaging were identified at Mayo Clinic Rochester. All cases were classified using an unbiased Computer-Aided Nodule Assessment and Risk Yield (CANARY) approach based on the quantification of presurgical HRCT characteristics. CANARY-based classification was independently correlated to postsurgical progression-free survival.ResultsCANARY analysis of 264 consecutive patients identified three distinct subgroups. Independent comparisons of 5-year disease-free survival (DFS) between these subgroups demonstrated statistically significant differences in 5-year DFS, 100%, 72.7%, and 51.4%, respectively (p = 0.0005).ConclusionsNoninvasive CANARY-based risk stratification identifies subgroups of patients with pulmonary nodules of the adenocarcinoma spectrum characterized by distinct clinical outcomes. This technique may ultimately improve the current expert opinion-based approach to the management of these lesions by facilitating individualized patient management.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Thoracic Oncology - Volume 9, Issue 11, November 2014, Pages 1698–1703
نویسندگان
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