کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8248331 | 1533328 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prognostic factors associated with the accuracy of deformable image registration in lung cancer patients treated with stereotactic body radiotherapy
ترجمه فارسی عنوان
عوامل پیش آگهی مرتبط با صحت ثبت نام تصویر قابل تنظیم در بیماران مبتلا به سرطان ریه تحت درمان با رادیوتراپی بدن استریوتاکتیک
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
ثبت نام تصویر قابل تنظیم، اعتبار سنجی، توموگرافی کامپیوتری 4 بعدی، ضریب تشابه تاس،
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
تشعشع
چکیده انگلیسی
We evaluated the accuracy of an in-house program in lung stereotactic body radiation therapy (SBRT) cancer patients, and explored the prognostic factors associated with the accuracy of deformable image registrations (DIRs). The accuracy of the 3 programs which implement the free-form deformation and the B-spline algorithm was compared regarding the structures on 4-dimensional computed tomography (4DCT) image datasets between the peak-inhale and peak-exhale phases. The dice similarity coefficient (DSC) and normalized DSC (NDSC) were measured for the gross tumor volumes from 19 lung SBRT patients. We evaluated the accuracy of DIR using gross tumor volume, magnitude of displacement from 0% phase to 50% phase, whole lung volume in the 50% phase image, and status of tumor pleural attachment. The median NDSC values using the NiftyReg, MIM Maestro and Velocity AI programs were 1.027, 1.005, and 0.946, respectively, indicating that NiftyReg and MIM Maestro programs had similar accuracy with an uncertainty ofâ<â1âmm. Larger uncertainty of 1 to 2âmm was observed using the Velocity AI program. The NiftyReg and the MIM programs provided higher NDSC values than the median values when the gross tumor volume was attached to the pleura (pâ<0.05). However, it showed a different trend in using the Velocity AI program. All software programs provided unexpected results, and there is a possibility that such results would reduce the accuracy of 4D treatment planning and adaptive radiotherapy. The unexpected results may be because the tumors are surrounded by other tissues, and there are differences regarding the region of interest for rigid and nonrigid registration. Furthermore, our results indicated that the pleural attachment status might be an important predictor of DIR accuracy for thoracic images, indicating that there is a potentially large dose distribution discrepancy concerning 4D treatment planning and adaptive radiotherapy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Dosimetry - Volume 42, Issue 4, Winter 2017, Pages 326-333
Journal: Medical Dosimetry - Volume 42, Issue 4, Winter 2017, Pages 326-333
نویسندگان
Yasuharu M.Sc., Hidenobu Ph.D., Noriyuki Ph.D., Nozomi M.Sc., Amit Ph.D., Keiichi M.D., Ph.D.,