Monitoring anatomical changes of individual patients using statistical process control during head-and-neck radiotherapy  Nicholas J. Lowther, David A.

Slides:



Advertisements
Similar presentations
In the past few years the usage of conformal and IMRT treatments has been increasing rapidly. These treatments employ the use of tighter margins around.
Advertisements

H Ariyaratne1,2, H Chesham2, J Pettingell2, K Sikora2, R Alonzi1,2
A Comparison of Soft-Tissue Implanted Markers and Bony Anatomy Alignments for Image-Guided Treatments of Head-and-Neck Cancers  Omar A. Zeidan, Ph.D.,
Impact of moving target on measurement accuracy in 3D and 4D PET imaging—a phantom study  Yunfeng Cui, PhD, James Bowsher, PhD, Jing Cai, PhD, Fang-Fang.
Physics and Imaging in Radiation Oncology
Assessment of leakage dose in vivo in patients undergoing radiotherapy for breast cancer  Peta Lonski, Tomas Kron, Michael Taylor, Alicia Phipps, Rick.
Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18F-fluorodeoxyglucose.
European Urology Oncology
Evaluation of localized region-based segmentation algorithms for CT-based delineation of organs at risk in radiotherapy  Mehdi Astaraki, Mara Severgnini,
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology
Relationship between dosimetric leaf gap and dose calculation errors for high definition multi-leaf collimators in radiotherapy  Jinkoo Kim, James S.
Patient-induced susceptibility effects simulation in magnetic resonance imaging  Josef Axel Lundman, Mikael Bylund, Anders Garpebring, Camilla Thellenberg.
Michiel van den Bosch, Michel Öllers, Bart Reymen, Wouter van Elmpt 
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology
Emma Hedin, Anna Bäck, Roumiana Chakarova 
National audit of a system for rectal contact brachytherapy
Physics and Imaging in Radiation Oncology
Improving CT quality with optimized image parameters for radiation treatment planning and delivery guidance  Guang-Pei Chen, George Noid, An Tai, Feng.
Action Levels on Dose and Anatomic Variation for Adaptive Radiation Therapy Using Daily Offline Plan Evaluation: Preliminary Results  Baoshe Zhang, PhD,
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology
Prospective analysis of in vivo landmark point-based MRI geometric distortion in head and neck cancer patients scanned in immobilized radiation treatment.
Comparison of complexity metrics for multi-institutional evaluations of treatment plans in radiotherapy  Victor Hernandez, Jordi Saez, Marlies Pasler,
Influence of patient position and other inherent factors on image quality in two different cone beam computed tomography (CBCT) devices  Ninita Lindfors,
Technical Innovations and Patient Support in Radiation Oncology
Physics and Imaging in Radiation Oncology
Axillary radiotherapy for nodal lymphoma: What CTV expansion is required to account for absence of pre-chemotherapy treatment position FDG PET-CT?  Robin.
Changes in apparent diffusion coefficient radiomics features during dose-painted radiotherapy and high dose rate brachytherapy for prostate cancer  Sangjune.
Physics and Imaging in Radiation Oncology
Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy  Sara Leibfarth, René M. Winter, Heidi Lyng, Daniel Zips, Daniela.
Advantages of intensity modulated proton therapy during hippocampal avoidance whole brain radiation therapy  Joshua Stoker, Sujay Vora, Ameet Patel, David.
Cone beam computed tomography-based monitoring and management of target and organ motion during external beam radiotherapy in cervical cancer  Nina Boje.
Kiran Devisetty, MD, Joseph K. Salama, MD  Journal of Thoracic Oncology 
A multi-centre analysis of radiotherapy beam output measurement
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology
Characterizing geometrical accuracy in clinically optimised 7T and 3T magnetic resonance images for high-precision radiation treatment of brain tumours 
Physics and Imaging in Radiation Oncology
Combined morphologic and metabolic pipeline for Positron emission tomography/computed tomography based radiotherapy response evaluation in locally advanced.
On the conversion of dose to bone to dose to water in radiotherapy treatment planning systems  Nick Reynaert, Frederik Crop, Edmond Sterpin, Iwan Kawrakow,
Angjelina Protik, Marcel van Herk, Marnix Witte, Jan-Jakob Sonke 
Cone-Beam CT-based position verification for oesophageal cancer: Evaluation of registration methods and anatomical changes during radiotherapy  A. van.
Fast 4D cone-beam CT from 60 s acquisitions
Skin dose calculation during radiotherapy of head and neck cancer using deformable image registration of planning and mega-voltage computed tomography.
Physics and Imaging in Radiation Oncology
Clinical and radiobiological evaluation of a method for planning target volume generation dependent on organ-at-risk exclusions in magnetic resonance.
Khaled Adil, MD, Marija Popovic, PhD, Fabio L. Cury, MD, Sergio L
Analysis of intra-fraction prostate motion and derivation of duration-dependent margins for radiotherapy using real-time 4D ultrasound  Eric Pei Ping.
Krzysztof Chełmiński, Wojciech Bulski 
Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool  Oscar Casares-Magaz,
Physics and Imaging in Radiation Oncology
Design, fabrication, and validation of patient-specific electron tissue compensators for postmastectomy radiation therapy  Daniel F. Craft, Peter Balter,
Rectal volume variations and estimated rectal dose during 8 weeks of image-guided radical 3D conformal external beam radiotherapy for prostate cancer 
Cone beam CT based dose calculation in the thorax region
Physics and Imaging in Radiation Oncology
Aisling Krishnan, Yat Man Tsang, Adéle Stewart-Lord 
Rune Slot Thing, Uffe Bernchou, Olfred Hansen, Carsten Brink 
Clinical implementation of magnetic resonance imaging guided adaptive radiotherapy for localized prostate cancer  Shyama U. Tetar, Anna M.E. Bruynzeel,
Technical Innovations and Patient Support in Radiation Oncology
Target definition in radiotherapy of prostate cancer using magnetic resonance imaging only workflow  Adalsteinn Gunnlaugsson, Emilia Persson, Christian.
The rationale for MR-only treatment planning for external radiotherapy
R. Botman, S. U. Tetar, M. A. Palacios, B. J. Slotman, F. J
Probabilistic optimization of dose coverage in radiotherapy
Evaluation of plan adaptation strategies for stereotactic radiotherapy of lymph node oligometastases using online magnetic resonance image guidance  Dennis.
Physics and Imaging in Radiation Oncology
MRI basics for radiation oncologists
Prospective quantitative quality assurance and deformation estimation of MRI-CT image registration in simulation of head and neck radiotherapy patients 
Presentation transcript:

Monitoring anatomical changes of individual patients using statistical process control during head-and-neck radiotherapy  Nicholas J. Lowther, David A. Hamilton, Han Kim, Jamie M. Evans, Steven H. Marsh, Robert J.W. Louwe  Physics and Imaging in Radiation Oncology  Volume 9, Pages 21-27 (January 2019) DOI: 10.1016/j.phro.2018.12.004 Copyright © 2018 The Authors Terms and Conditions

Fig. 1 Definition of bony anatomy (BA) structures and neck volume Vneck in the central sagittal plane. The superior end of the occipital bone contour was defined as to just include the external occipital protuberance. Physics and Imaging in Radiation Oncology 2019 9, 21-27DOI: (10.1016/j.phro.2018.12.004) Copyright © 2018 The Authors Terms and Conditions

Fig. 2 Workflow detailing the exponentially weighted moving average (EWMA) statistics monitoring procedure based on DIR. (a) The planning CT (pCT) is deformed to match the anatomical configurations of each cone beam CT (CBCT) of treatment week 1; (b) Deformed pCT contours propagated to the CBCTs are used to calculate metrics of interest Xf for fractions 1–5. The average metric of interest is defined as E0 and used to calculate the EWMA statistics E1… E5 as per Eq. (3); (c-d) At the beginning of treatment week two, propagation of deformed contours and EWMA calculations are conducted on a fraction-by-fraction basis. Physics and Imaging in Radiation Oncology 2019 9, 21-27DOI: (10.1016/j.phro.2018.12.004) Copyright © 2018 The Authors Terms and Conditions

Fig. 3 Example of the exponentially weighted moving average (EWMA) charts used in this study of the mandible deviation for patient three. EWMA trends derived from deformable image registration (DIR) or the manual method of registration (MMR), are shown in orange and blue, respectively. Trends are plotted either as deviations relative to the SPC reference period (panels a and b) or absolute deviations including E0 (panel c). (a) DIR derived EWMA chart including uncertainty analysis and corrected for initial deformation E0; (b) comparison of DIR and MMR derived EWMA charts; (c) DIR and MMR derived EWMA charts including observed E0 for the purpose of comparing the trends with a 2 mm clinical limit. Physics and Imaging in Radiation Oncology 2019 9, 21-27DOI: (10.1016/j.phro.2018.12.004) Copyright © 2018 The Authors Terms and Conditions