Literature DB >> 10925000

An off-line strategy for constructing a patient-specific planning target volume in adaptive treatment process for prostate cancer.

D Yan1, D Lockman, D Brabbins, L Tyburski, A Martinez.   

Abstract

PURPOSE: To improve the efficacy of dose delivery and dose escalation for external beam radiotherapy of prostate cancer, an off-line strategy for constructing a patient-specific planning target volume is developed in the adaptive radiotherapy process using image feedback of target location and patient setup position.
MATERIALS AND METHODS: We hypothesize that a patient-specific confidence-limited planning target volume (cl-PTV), constructed using an initial sequence of daily measurements of internal target motion and patient setup error, exists and ensures that the clinical target volume (CTV) in the prostate cancer patient receives the prescribed dose within a predefined dose tolerance. A patient-specific bounding volume to correct for target location and compensate for target random motion was first constructed using the convex hull of the first k days of CT measurements. The bounding volume and the initial days of CT measurements were minimized based on a predefined dosimetric criterion. The hypothesis was tested using multiple daily CT images by mimicking the actual treatment of both conventional 4-field-box and intensity-modulated radiotherapy (IMRT) on each of 30 patients with prostate cancer. For each patient, a patient-specific setup margin was also applied to the bounding volume to form the final cl-PTV. This margin was determined using the random setup error predicted from the initial days of portal imaging measurements and the residuals after correcting for the systematic setup error.
RESULTS: The bounding volume constructed using daily CT measurements in the first week of treatment are adequate for the conventional beam delivery to achieve maximum dose reduction in the CTV of 2% or less of the prescription dose, for at least 80% of patients (p = 0.08), and 4.5% or less for 95% of patients (p = 0.1). However, for IMRT delivery, 2 weeks of daily CT measurements are required to achieve a similar level of the dosimetric criterion, otherwise the maximum dose reduction of 7%, on average, in the CTV is expected. Furthermore, the patient-specific setup margin required for the IMRT treatment is at least twice larger than that for the conventional treatment, to maintain the same dosimetric criterion. As compared to the conventional PTV, the volume of cl-PTV is significantly reduced, while maintaining the same dosimetric criterion.
CONCLUSION: The cl-PTV for prostate treatment can be constructed within the first week of treatment using the feedback of imaging measurements. The cl-PTV has the capability to exclude the systematic variation and compensate for the patient-specific random variation on target location and patient setup position. This implies that in the current off-line image feedback adaptive treatment process, a single plan modification can be performed within the second week of treatment to improve the efficacy of dose delivery and dose escalation for external beam therapy of prostate cancer.

Entities:  

Mesh:

Year:  2000        PMID: 10925000     DOI: 10.1016/s0360-3016(00)00608-8

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  44 in total

1.  Evaluations of an adaptive planning technique incorporating dose feedback in image-guided radiotherapy of prostate cancer.

Authors:  Han Liu; Qiuwen Wu
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Phase-specific cone beam computed tomography reduces reconstructed volume loss of moving phantom.

Authors:  H-L Chao; W-L Chen; C-C Hu; J-K Wu; C-J Wu; J C-H Cheng
Journal:  Strahlenther Onkol       Date:  2011-12-24       Impact factor: 3.621

3.  Image-based modeling of tumor shrinkage in head and neck radiation therapy.

Authors:  Ming Chao; Yaoqin Xie; Eduardo G Moros; Quynh-Thu Le; Lei Xing
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

4.  Image estimation from marker locations for dose calculation in prostate radiation therapy.

Authors:  Huai-Ping Lee; Mark Foskey; Josh Levy; Rohit Saboo; Ed Chaney
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

5.  Incidence of late rectal bleeding in high-dose conformal radiotherapy of prostate cancer using equivalent uniform dose-based and dose-volume-based normal tissue complication probability models.

Authors:  Matthias Söhn; Di Yan; Jian Liang; Elisa Meldolesi; Carlos Vargas; Markus Alber
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-01-26       Impact factor: 7.038

6.  A hybrid strategy of offline adaptive planning and online image guidance for prostate cancer radiotherapy.

Authors:  Yu Lei; Qiuwen Wu
Journal:  Phys Med Biol       Date:  2010-03-30       Impact factor: 3.609

Review 7.  Adaptive radiation therapy for prostate cancer.

Authors:  Michel Ghilezan; Di Yan; Alvaro Martinez
Journal:  Semin Radiat Oncol       Date:  2010-04       Impact factor: 5.934

8.  Learning Statistical Correlation of Prostate Deformations for Fast Registration.

Authors:  Yonghong Shi; Shu Liao; Dinggang Shen
Journal:  Mach Learn Med Imaging       Date:  2011

9.  Comparative analysis of image guidance in two institutions for prostate cancer patients.

Authors:  Tomasz Piotrowski; Slav Yartsev; George Rodrigues; Tomasz Bajon
Journal:  Rep Pract Oncol Radiother       Date:  2014-01-02

10.  Scanned ion beam therapy for prostate carcinoma: Comparison of single plan treatment and daily plan-adapted treatment.

Authors:  Sebastian Hild; Christian Graeff; Antoni Rucinski; Klemens Zink; Gregor Habl; Marco Durante; Klaus Herfarth; Christoph Bert
Journal:  Strahlenther Onkol       Date:  2015-11-27       Impact factor: 3.621

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.