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Auto planning

B M Haverkos, Y Huang, P Elder, L O'Donnell, D Scholl, B Whittaker, S Vasu, S Penza, L A Andritsos, S M Devine, S M Jaglowski
In an otherwise eligible patient with relapsed lymphoma, inadequate mobilization of hematopoietic stem cells (HSCs) is a limiting factor to proceeding with an autologous hematopoietic cell transplantation (auto-HCT). Multiple strategies have been used to mobilize an adequate number of HSCs with no obvious front-line strategy. We report a single institutional experience mobilizing HSCs using four different approaches in lymphoma patients. We prospectively collected mobilization outcomes on patients planned to undergo auto-HCT at Ohio State University...
January 9, 2017: Bone Marrow Transplantation
Z Tian, Y Li, M Folkerts, S Jiang, X Jia
PURPOSE: We have previously developed a GPU-OpenCL-based MC dose engine named goMC with built-in analytical linac beam model. To move goMC towards routine clinical use, we have developed an automatic beam-commissioning method, and an efficient source sampling strategy to facilitate dose calculations for real treatment plans. METHODS: Our commissioning method is to automatically adjust the relative weights among the sub-sources, through an optimization process minimizing the discrepancies between calculated dose and measurements...
June 2016: Medical Physics
T Li, Y Sheng, V Lockamy, P Anne, N Simone, Q J Wu, Y Yu
PURPOSE: Recently an ultrafast automatic planning system for breast irradiation using tangential beams was developed by modeling relationships between patient anatomy and achieved dose distribution. This study evaluates the performance of this system when applied to a different patient population and dose calculation algorithm. METHODS: The system and its anatomy-to-dose models was developed at institution A based on 20 cases, which were planned using manual fluence painting technique and calculated WITH heterogeneity correction...
June 2016: Medical Physics
J Zhang, O Ates, X Li
PURPOSE: To develop a tool that can quickly and automatically assess contour quality generated from auto segmentation during online adaptive replanning. METHODS: Due to the strict time requirement of online replanning and lack of 'ground truth' contours in daily images, our method starts with assessing image registration accuracy focusing on the surface of the organ in question. Several metrics tightly related to registration accuracy including Jacobian maps, contours shell deformation, and voxel-based root mean square (RMS) analysis were computed...
June 2016: Medical Physics
E Kremmel, L Doyle, Y Yu, A Harrison
PURPOSE: A Varian PerfectPitch six degrees of freedom robotic table necessitates daily quality assurance (QA). Therapists were credentialed for this QA procedure which was easily incorporated into the existing daily warmup process. This procedure adds depth to TG-142 requirements without additional morning time costs. METHODS: This PerfectPitch table QA introduces a consistent rotation of the QUASARâ„¢ Penta-Guide phantom and requires automatic table corrections through image fusions...
June 2016: Medical Physics
P Atkinson, Q Chen
PURPOSE: To assess the clinical efficacy of auto beam hold during prostate RapidArc delivery, triggered by fiducial localization on kV imaging with a Varian True Beam. METHODS: Prostate patients with four gold fiducials were candidates in this study. Daily setup was accomplished by aligning to fiducials using orthogonal kV imaging. During RapidArc delivery, a kV image was automatically acquired with a momentary beam hold every 60 degrees of gantry rotation. The position of each fiducial was identified by a search algorithm and compared to a predetermined 1...
June 2016: Medical Physics
D Polan, S Brady, R Kaufman
PURPOSE: Develop an automated Random Forest algorithm for tissue segmentation of CT examinations. METHODS: Seven materials were classified for segmentation: background, lung/internal gas, fat, muscle, solid organ parenchyma, blood/contrast, and bone using Matlab and the Trainable Weka Segmentation (TWS) plugin of FIJI. The following classifier feature filters of TWS were investigated: minimum, maximum, mean, and variance each evaluated over a pixel radius of 2n, (n = 0-4)...
June 2016: Medical Physics
M Mardani Korani, P Dong, L Xing
PURPOSE: Inverse planning starts with prescribed dose or DVHs. The time/effort spent on obtaining a clinically acceptable plan and, more importantly, the quality of the resultant treatment plan depends critically on the prescription. The present work aims to facilitate the treatment planning workflow by predicting the achievable dose distribution based on a dataset of quality plans designed for past patients. METHODS: A novel learning-empowered approach is developed that predicts achievable 3D dose volume for a new patient based on the geometrical features of the contoured anatomical-scan...
June 2016: Medical Physics
P Xia
Treatment planning is a central part of radiation therapy, including delineation in tumor volumes and critical organs, setting treatment goals of prescription doses to the tumor targets and tolerance doses to the critical organs, and finally generation of treatment plans to meet the treatment goals. National groups like RTOG have led the effort to standardize treatment goals of the prescription doses to the tumor targets and tolerance doses to the critical organs based on accumulated knowledge from decades of abundant clinical trial experience...
June 2016: Medical Physics
J Kim, J Han, S Ailawadi, J Baker, A Hsia, Z Xu, S Ryu
PURPOSE: Normal organ segmentation is one time-consuming and labor-intensive step for lung radiotherapy treatment planning. The aim of this study is to evaluate the performance of a multi-atlas based segmentation approach for automatic organs at risk (OAR) delineation. METHODS: Fifteen Lung stereotactic body radiation therapy patients were randomly selected. Planning CT images and OAR contours of the heart - HT, aorta - AO, vena cava - VC, pulmonary trunk - PT, and esophagus - ES were exported and used as reference and atlas sets...
June 2016: Medical Physics
C Wu
PURPOSE: To implement an automatic electronic PDF plan reporting tool for Philips Pinnacle treatment planning system (TPS) METHODS: An electronic treatment plan reporting software is developed by us to enable fully automatic PDF report from Pinnacle TPS to external EMR programs such as MOSAIQ. The tool is named "plan2pdf". plan2pdf is implemented using Pinnacle scripts, Java and UNIX shell scripts, without any external program needed. plan2pdf supports full auto-mode and manual mode reporting...
June 2016: Medical Physics
Y Luo, Z Liao, W Jiang, D Gomez, R Williamson, L Court, J Yang
PURPOSE: To evaluate the feasibility of using an automatic segmentation tool to delineate cardiac substructures from computed tomography (CT) images for cardiac toxicity analysis for non-small cell lung cancer (NSCLC) patients after radiotherapy. METHODS: A multi-atlas segmentation tool developed in-house was used to delineate eleven cardiac substructures including the whole heart, four heart chambers, and six greater vessels automatically from the averaged 4DCT planning images for 49 NSCLC patients...
June 2016: Medical Physics
X Han, W Hu, X Chen
PURPOSE: To evaluate the individual and combined performance of Auto-Planning and RapidPlan for IMRT plans applied to locally advanced cervical cancer. METHODS: A cohort of 10 patients previously treated with IMRT technique were selected for this study. 10 plans (AP) were generated with Pinnacle version 9.10 based on on single template, and only one optimization cycle was allowed for each plan. 10 sets of patient specific DVH prediction were generated with RapidPlan (Eclipse 13...
June 2016: Medical Physics
X Chang, K Li, W Hu
PURPOSE: The purpose of this study is to compare dosimetric differences of Auto-planning and manual IMRT plan and investigate the feasibility and efficiency of the Auto-planning in the nasopharyngeal carcinoma (NPC). METHODS: Ten patients with NPC treated were enrolled in this study. Two IMRT plans were generated for each patient: manually optimized clinical plan and the automatically optimized plan using the Pinnacle Auto-planning (Auto plan). All the plan parameters such as gantry angle, the maximum number of iterations, the maximum number of control points, minimum segment MU and area are same, except the optimization method...
June 2016: Medical Physics
V Huang, J Kamarn, R D'Arcy, K Kohli
PURPOSE: When a patient's anatomy spans beyond the scan field of view (sFOV) in a CT scanner, extrapolation techniques are applied to reconstruct data in the extended field of view (eFOV). However, it's challenging to delineate the external body contour accurately due to image distortions within eFOV. Our proposed solution is to apply TargetTape, a disposable radio-opaque adhesive strip, to patients. Our study investigates the accuracy of geometric reconstruction and the dosimetric impact when using TargetTape in eFOV...
June 2016: Medical Physics
T Long, M Chen, S Jiang, W Lu
PURPOSE: To study the procedure of reference-based auto-planning for treatment plan optimization and develop a threshold-driven optimization methodology for automatically generating a treatment plan that is motivated by a reference DVH and/or dose distribution. We study threshold-driven optimization for reference-based auto-planning (TORA). METHODS: Commonly used voxel-based quadratic penalties have three components: an overdose weight, and underdose weight, and some target dose threshold...
June 2016: Medical Physics
S Berry, K Jedruszczuk, H Veeraraghavan, A Apte, Z Saleh, M Hunt
PURPOSE: To investigate whether a commercial atlas based auto-segmentation (ABAS) package can be used for automated review and quality control (QC) of physician segmentations, and if so, to determine action levels for future clinical implementation. METHODS: 42 head and neck cancer (HNC) patient plan CT scans with manually defined expert physician organ at risk (OAR) segmentations were retrospectively identified. Five representative patients were selected as ABAS models and were subsequently applied to each of the remaining 37 studies, resulting in 5 auto-segmentations (AS) per patient...
June 2016: Medical Physics
D Peressutti, B Schipaanboord, J van Soest, T Lustberg, W van Elmpt, T Kadir, A Dekker, M Gooding
PURPOSE: To investigate the effectiveness of atlas selection methods for improving atlas-based auto-contouring in radiotherapy planning. METHODS: 275 H&N clinically delineated cases were employed as an atlas database from which atlases would be selected. A further 40 previously contoured cases were used as test patients against which atlas selection could be performed and evaluated. 26 variations of selection methods proposed in the literature and used in commercial systems were investigated...
June 2016: Medical Physics
T Giaddui, N Li, K Curry, K Moore, L Mell, C Leath, C Kunos, Y Xiao
PURPOSE: To establish a workflow for NRG-GY006 IMRT pre-treatment reviews, incorporating advanced radiotherapy technologies being evaluated as part of the clinical trial. METHODS: Pre-Treatment reviews are required for every IMRT case as part of NRG-GY006 (a randomized phase II trial of radiation therapy and cisplatin alone or in combination with intravenous triapine in women with newly diagnosed bulky stage I B2, stage II, IIIB, or IVA cancer of the uterine cervix or stage II-IVA vaginal cancer...
June 2016: Medical Physics
H Nourzadeh, W Watkins, J Siebers, M Ahmad
PURPOSE: To determine if auto-contour and manual-contour-based plans differ when evaluated with respect to probabilistic coverage metrics and biological model endpoints for prostate IMRT. METHODS: Manual and auto-contours were created for 149 CT image sets acquired from 16 unique prostate patients. A single physician manually contoured all images. Auto-contouring was completed utilizing Pinnacle's Smart Probabilistic Image Contouring Engine (SPICE). For each CT, three different 78 Gy/39 fraction 7-beam IMRT plans are created; PD with drawn ROIs, PAS with auto-contoured ROIs, and PM with auto-contoured OARs with the manually drawn target...
June 2016: Medical Physics
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