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Radiation Oncology: An Evidence-Based Approach Relié – 8 septembre 2008
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Radiation Oncology: An Evidence-Based Approach (ROEBA) is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions on the basis of the best available scientific evidence. Ease of use is ensured by a structured, reader-friendly format that offers rapid access to evidence-based recommendations. ROEBA's orientation is entirely practical, in that the focus is solely on diagnostic/staging and treatment issues. Detailed diagnostic and therapeutic guidelines are provided for multidisciplinary cancer management as well as radiation therapy techniques. The evidence underlying each recommendation is clearly and concisely explained, and the strength of the recommendations and evidence is systemically graded. Furthermore, diagnostic and treatment algorithms are provided for the commonly diagnosed cancers. This ground-breaking text on radiation oncology is an essential tool for physicians in their daily clinical practice.
- Nombre de pages de l'édition imprimée679 pages
- LangueAnglais
- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date de publication8 septembre 2008
- Dimensions19.81 x 3.3 x 27.43 cm
- ISBN-103540773843
- ISBN-13978-3540773849
Détails sur le produit
- Éditeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K; 2008e édition (8 septembre 2008)
- Langue : Anglais
- Relié : 679 pages
- ISBN-10 : 3540773843
- ISBN-13 : 978-3540773849
- Poids de l'article : 2,06 Kilograms
- Dimensions : 19.81 x 3.3 x 27.43 cm
- Commentaires client :
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This is the daily email sent out counting the days for a month:
Time = Day 30 of 30 (Feb 23, 2012), for an active global challenge to be #1.
Hi, how are you?
Do you have a faster or know of a more accurate program to solve the problem of large deformations in registering multi-modal images. This is until now an intractable computational problem. Our solution is being integrated into prostate cancer radiation treatment to spare potency. Our solution will benefit the fields of medicine, computing and engineering, so I'm opening this challenge to the colleagues in computer science, applied mathematics and engineering.
My claim = # 1 in solving large deformations in image registration.
I am gathering the answers to this global challenge from more than a few dozen universities in Asia, Europe, North and South Americas, Australia, Middle East, and the Nordic region. I'll start to write it up for publication in the end of Feb, 2012.
I welcome anyone to meet this challenge. This rigorous established the singularity of our algorithm (1). It is anticipated that our work will survive this world-wide challenge.
To demonstrate the big gap between what is commercially available and what is needed in the clinic. Using reference 2 as an example, the MRI information was transferred to the CT scan using fusion. Fair to say, the study was performed using the state of the art fusion algorithms available. Rightly so, the IGRT was done with or with image registration. However, without image registration or simply use fusion (that implies rigid body translations and rotations) are simply subpar and should be wiped out. Your algorithm is by-passable, more computers in parallel will likely bring you down. Please challenge my assertion here. I love to be wrong on this. Anyhow, yours (3) is by-passable, right? Since we have solved deformable solid registration (1) with error estimation. The accuracy of the fusion is judged by eye-balling only. There is no quantification of the additional planning margin required to account for the errors in registration. Our algorithms have extensions in the arena of engineering and applied mathematics. Our implemented algorithms are a part of our Interactive Specialized Prostate Image Registration Ensemble (InSPIRE) available at request, and it is ready for clinical implementation, although it is patent pending. I am wiping clean the treatment planning and multimodal deformable registration. It would get 5 star assuming I were wrong. Publisher, Drs. Cox and Ang, and ASTRO, please do correct me, I would love to hear I were wrong !
Rex Cheung, MD, Ph.D. P&S
Associate Professor of Radiology,
Texas A and M.
Bryn Mawr, Philadelphia, PA.
Reference:
1. Using manual prostate contours to enhance deformable registration
of endorectal MRI. R. Cheung, K. Krishnan, Computer Methods and Programs in Biomedicine. In press.
2. Variation in external beam treatment plan quality: An inter-institutional study of planners and planning systems. Benjamin E. Nelms, Greg Robinson, Jay Markham, et al., PRO. In press.
3. Critical Appraisal of Acuros XB and Anisotropic Analytic Algorithm Dose Calculation in Advanced Non-Small-Cell Lung Cancer Treatments. Antonella Fogliata, Giorgia Nicolini, Alessandro Clivio, et al. International Journal of Radiation, Oncology, Physics. In press.
