Results 141 to 150 of about 395,349 (427)

Multicriteria VMAT optimization

, 2011
Purpose: To make the planning of volumetric modulated arc therapy (VMAT) faster and to explore the tradeoffs between planning objectives and delivery efficiency. Methods: A convex multicriteria dose optimization problem is solved for an angular grid of
Bedford, Bortfeld, Bzdusek, Carol, Chen, Craft, Craft, Craft, Craft, David Craft, Deasy, Dualta McQuaid, Ehsan Salari, Herman, Hong, Jelen, Jeremiah Wala, Luan, Men, Monz, Oliver, Otto, Rao, Rennen, Romeijn, Salter, Scherrer, Spirou, Stein, Svensson, Thieke, Thomas Bortfeld, Wang, Wei Chen, Woudstra, Yu, Yu, Zhang   +37 more
core   +1 more source

Observations on Injuries and Diseases of the Rectum

Edinburgh medical and surgical journal
njuries and diseases of the rectum are peculiar in several circumstances. It is so difficult to recognize their presence that they are often altogether overlooked.
H. Mayo
semanticscholar   +1 more source

A Python package for fast GPU‐based proton pencil beam dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya, Calin Reamy, Heng Li, Junghoon Lee, William T. Hrinivich   +4 more
wiley   +1 more source

Recurrent hemorrhoidal disease after stapled prolassectomy: hypothesis on predictive factors and surgical management [PDF]

, 2013
INTRODUCTION The surgical procedure of stapled haemorrhoidopexy is now considered safe and its safety is improving with experience and technical upgrading.
Panarese, Alessandra
core  

Cancer of the rectum [PDF]

Transactions of the Royal Academy of Medicine in Ireland, 1893
n ...
openaire   +3 more sources

Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang, Eric Aliotta, Neelam Tyagi, Paola Godoy Scripes, Nicolas Côté, Ergys Subashi, Qijie Huang, Lian Sun, Ching‐Yun Chan, Angela Ng, Theresa Wunner, Victoria Brennan, Kaveh Zakeri, James Mechalakos   +13 more
wiley   +1 more source

PHYSIOLOGY OF THE COLON, SIGMOID AND RECTUM. [PDF]

, 1898
J. G. CARPENTER
openalex   +1 more source

Prolapse of the Rectum [PDF]

Postgraduate Medical Journal, 1964
PROLAPSE of the rectum is a rare, somewhat misunderstood and neglected condition, which is generally held to occur at the extremes of life. XVe are almost totally ignorant of its cause. Misconceptions regarding its clinical presentation are common.
openaire   +3 more sources

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

Machine learning for prediction of dose-volume histograms of organs-at-risk in prostate cancer from simple structure volume parameters [PDF]

arXiv
Dose prediction is an area of ongoing research that facilitates radiotherapy planning. Most commercial models utilise imaging data and intense computing resources. This study aimed to predict the dose-volume of rectum and bladder from volumes of target, at-risk structure organs and their overlap regions using machine learning.
arxiv