کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8240511 | 1533147 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Nomogram to Predict Radiation Pneumonitis, Derived From a Combined Analysis of RTOG 9311 and Institutional Data
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
تشعشع
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Statistical models derived from a large pool of candidate models resulted in well-tuned models for each subset (WU or RTOG 9311), which did not perform well when applied to the other dataset. However, when the data were combined, a model was generated that performed well on each data subset. The final model incorporates two effects: greater risk due to inferior lung irradiation, and greater risk for increasing normal lung mean dose. This formula and nomogram may aid clinicians during radiation treatment planning for lung cancer.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Radiation Oncology*Biology*Physics - Volume 69, Issue 4, 15 November 2007, Pages 985-992
Journal: International Journal of Radiation Oncology*Biology*Physics - Volume 69, Issue 4, 15 November 2007, Pages 985-992
نویسندگان
Jeffrey D. M.D., Andrew M.D., Issam Ph.D., Aditya M.S., Patricia E. Ph.D., Walter D.Sc., John D.Sc., William M.D., Mary V. M.D., Joseph O. Ph.D.,