کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1760641 | 1019619 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Features of In Vitro Ultrasound Biomicroscopic Imaging and Colonoscopy for Detection of Colon Tumor in Mice
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
آکوستیک و فرا صوت
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Features of In Vitro Ultrasound Biomicroscopic Imaging and Colonoscopy for Detection of Colon Tumor in Mice Features of In Vitro Ultrasound Biomicroscopic Imaging and Colonoscopy for Detection of Colon Tumor in Mice](/preview/png/1760641.png)
چکیده انگلیسی
The present work tested the capability of ultrasound biomicroscopy (UBM), at 45 MHz, to provide cross-sectional images with appropriate resolution and contrast to detect tumors and determine their penetration depths on the colon of mice, Mus musculus (Linnaeus 1758), treated with carcinogen for colon tumor induction. B-mode images were obtained, in vitro, from each animal (13 treated and 4 untreated) colon opened longitudinally and immersed in saline solution at room temperature. Prior to UBM inspection, all animals were also examined by colonoscopy. The layers of normal colon identified by UBM are: mucosa (hyperechoic), muscularis mucosae (hypoechoic), submucosa (hyperechoic) and muscularis externa (hypoechoic). UBM images of colon lesions presented structures corresponding to tumors (hyperechoic), lymphoid hyperplasia (hypoechoic) and polypoid tumors (hyperechoic). Additionally, tumoral lesion invasion through the colon was also identified. When compared with histopathologic analysis, all colon lesions detected by UBM were confirmed, while colonoscopic findings had two false negatives.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 37, Issue 12, December 2011, Pages 2086-2095
Journal: Ultrasound in Medicine & Biology - Volume 37, Issue 12, December 2011, Pages 2086-2095
نویسندگان
Kelly Z. Alves, Helena L. Borges, Rossana C. Soletti, Anália L.P. Viana, Lorena I. Petrella, Mônica Soldan, Vera L. Chagas, Alberto Schanaider, João C. Machado,