Microwave ablation of lung tumors: a probabilistic approach for simulation‐based treatment planning

2021 ◽  
Author(s):  
Jan Sebek ◽  
Pinyo Taeprasartsit ◽  
Henky Wibowo ◽  
Warren L. Beard ◽  
Radoslav Bortel ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Microwave Ablation ◽  
Probabilistic Approach ◽  
Lung Tumors ◽  
Simulation Based

A PERSONALIZED MICROWAVE ABLATION TREATMENT PLANNING USING RADIOMICS AND SIMULATION-BASED MODELING

CHEST Journal ◽  
2021 ◽  
Vol 160 (4) ◽  
pp. A1627-A1628
Author(s):  
Fabien Maldonado ◽  
Henky Wibowo ◽  
Punit Prakash ◽  
Jan Sebek ◽  
Faraz Chamani ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Microwave Ablation ◽  
Simulation Based

Sensitivity of microwave ablation models to tissue biophysical properties: A first step toward probabilistic modeling and treatment planning

2016 ◽  
Vol 43 (5) ◽  
pp. 2649-2661 ◽  
Author(s):  
Jan Sebek ◽  
Nathan Albin ◽  
Radoslav Bortel ◽  
Bala Natarajan ◽  
Punit Prakash
Keyword(s):  
Treatment Planning ◽  
Microwave Ablation ◽  
Probabilistic Modeling ◽  
Biophysical Properties

Target volume dose considerations in proton beam treatment planning for lung tumors

2005 ◽  
Vol 32 (12) ◽  
pp. 3549-3557 ◽  
Author(s):  
Martijn Engelsman ◽  
Hanne M. Kooy
Keyword(s):  
Treatment Planning ◽  
Proton Beam ◽  
Target Volume ◽  
Lung Tumors

Report of four cases of pulmonary malignant tumors treated with SBRT using BODYFIX plus 4D-CBCT image guidance technique.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20050-e20050
Author(s):  
Lei Wu ◽  
Tao Li ◽  
Qifeng Wang
Keyword(s):  
Lung Cancer ◽  
Range Of Motion ◽  
Treatment Planning ◽  
Radiation Treatment ◽  
Lung Tumors ◽  
Planning System ◽  
Target Area ◽  
Radiation Treatment Planning ◽  
Short Term ◽  
Cbct Image

e20050 Background: To monitor the range of motion in SBRT treatment of lung tumors by using BODYFIX combined with four-dimensional cone beam CT (4D-CBCT), and provide evidence for delineating the reasonable internal target area (ITV) of lung cancer, and observe the short-term outcom of treatment and treatment of complications. Methods: 4D-CT was used to locate CT scan, delineate the GTV of the tumor, make a simple radiation treatment planning, determine the treatment center point, and then use line accelerator 4D-CBCT to perform pre-SBRT treatment on 4 patients with lung malignant tumor. The system automatically reconstructs the image and matches the CT image of the treatment plan to obtain the placement error of the patient in the head and foot (SI), left and right (LR), and front and rear (AP) directions. The double registration technique is used to correct the correction first. Positioning error, the 4D-CBCT dynamic image is again registered with the target area, the range of motion within the tumor is observed, and the time-weighted 4D-CBCT image is transmitted back to the Monaco planning system to delineate the target area to accurately determine the range of the ITV. According to this target area, a radiation treatment planning was developed, GTV 20Gy/f, 1 to 3 fractions, and then 4D-CBCT scan was performed in each SBRT treatment to observe the range of tumor motion in real time. Results: 3 of the 4 patients the lung tumors were CR at 3 months after treatment, and 1 patient was SD. No serious complications occurred during the treatment or within 3 months after radiotherapy. Conclusions: The BODYFIX plus 4D-CBCT image can more accurately outline the ITV range of lung cancer. The patient is well tolerated and the short-term outcom is good.

EP-1555 TREATMENT PLANNING OF LUNG TUMORS USING TWO DESIGNS OF PLANNING TARGET VOLUME

2012 ◽  
Vol 103 ◽  
pp. S597
Author(s):  
A. Cámara Turbí ◽  
M. Melchor ◽  
F. Candela ◽  
D. Martínez ◽  
M. Asensio ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Planning Target Volume ◽  
Target Volume ◽  
Lung Tumors

Rapid palliative radiotherapy: comparing IG-IMRT with more conventional approaches

2010 ◽  
Vol 9 (3) ◽  
pp. 143-148 ◽  
Author(s):  
Rajiv Samant ◽  
Lee Gerig ◽  
Lynn Montgomery ◽  
Miller MacPherson ◽  
Greg Fox ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Intensity Modulated Radiotherapy ◽  
Palliative Radiotherapy ◽  
Single Session ◽  
Treatment Delivery ◽  
Target Delineation ◽  
Simulation Based ◽  
Ct Simulation ◽  
Megavoltage Computed Tomography ◽  
Time Required

AbstractPurpose: To assess the efficiency of an integrated imaging, planning, and treatment delivery system to provide image-guided intensity-modulated radiotherapy (IG-IMRT) for patients requiring palliative radiotherapy (PRT).Methods: Between December 2006 and May 2008, 28 patients requiring urgent PRT were selected to undergo single-session megavoltage computed tomography (MV-CT) simulation, IMRT treatment planning, position verification and delivery of the first faction of radiotherapy on a helical Tomotherapy® unit. The time required to complete each step was recorded and compared to our standard approach of using either fluoroscopic or CT-based simulation, simplified treatment planning and delivery on a megavoltage unit.Results: Twenty-eight patients were treated with our integrated IG-IMRT protocol. The median age was 72 years, with 61% men and 39% women. The indications for PRT were: painful bone and soft tissue metastasis (75%); bleeding lesions (14%); and other reasons (11%). The areas treated included the following: hip and/or pelvis (42%); spine (36%); and other areas (21%). The most commonly used dose prescription was 20 Gy in five fractions. Average times for the integrated IG-IMRT processes were as follows: image acquisition, 15 minutes; target delineation, 16 minutes; IMRT treatment planning, 9 minutes; treatment position verification, 10 minutes; and treatment delivery, 12 minutes. The average total time was 62 minutes compared to 66 minutes and 81 minutes for fluoroscopic and CT-simulation-based approaches, respectively. The IMRT dose distributions were also superior to simpler plans.Conclusions: PRT with an integrated IG-IMRT approach is efficient and convenient for patients, and has potential for future applications such as single-fraction radiotherapy.

scholarly journals EP-1681: A treatment planning strategy for SBRT of multiple T1-2 lung tumors

2016 ◽  
Vol 119 ◽  
pp. S785
Author(s):  
A. Tijhuis ◽  
E. Van der Bijl ◽  
J. Knegjens ◽  
C. Van VlietVroegindeweij ◽  
E. Damen
Keyword(s):  
Treatment Planning ◽  
Lung Tumors ◽  
Planning Strategy

Dose distributions in SBRT of lung tumors: Comparison between two different treatment planning algorithms and Monte-Carlo simulation including breathing motions

2006 ◽  
Vol 45 (7) ◽  
pp. 978-988 ◽  
Author(s):  
Ingmar Lax ◽  
Vanessa Panettieri ◽  
Berit Wennberg ◽  
Maria Amor Duch ◽  
Ingemar Näslund ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Treatment Planning ◽  
Lung Tumors ◽  
Dose Distributions ◽  
Planning Algorithms
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