کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5529611 1401703 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dynamic CT imaging of volumetric changes in pulmonary nodules correlates with physical measurements of stiffness
ترجمه فارسی عنوان
تصویربرداری دینامیک سی تی از تغییرات حجمی در گره های ریه مرتبط با اندازه گیری های فیزیکی سختی است
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
چکیده انگلیسی

Background and purposeA major challenge in CT screening for lung cancer is limited specificity when distinguishing between malignant and non-malignant pulmonary nodules (PN). Malignant nodules have different mechanical properties and tissue characteristics (‘stiffness’) from non-malignant nodules. This study seeks to improve CT specificity by demonstrating in rats that measurements of volumetric ratios in PNs with varying composition can be determined by respiratory-gated dynamic CT imaging and that these ratios correlate with direct physical measurements of PN stiffness.Methods and materialsRespiratory-gated MicroCT images acquired at extreme tidal volumes of 9 rats with PNs from talc, matrigel and A549 human lung carcinoma were analyzed and their volumetric ratios (δ) derived. PN stiffness was determined by measuring the Young’s modulus using atomic force microscopy (AFM) for each nodule excised immediately after MicroCT imaging.ResultsThere was significant correlation (p = 0.0002) between PN volumetric ratios determined by respiratory-gated CT imaging and the physical stiffness of the PNs determined from AFM measurements.ConclusionWe demonstrated proof of concept that PN volume changes measured non-invasively correlate with direct physical measurements of stiffness. These results may translate clinically into a means of improving the specificity of CT screening for lung cancer and/or improving individual prognostic assessments based on lung tumor stiffness.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Radiotherapy and Oncology - Volume 122, Issue 2, February 2017, Pages 313–318