Literature DB >> 10477028

A new tool for dose conformity evaluation of radiosurgery treatment plans.

L H Leung1, D T Chua, P M Wu.   

Abstract

PURPOSE: A novel method for dose conformity evaluation of treatment plans produced by the stereotactic radiosurgery treatment planning system is postulated. METHODS AND MATERIALS: By consolidating the information contained in the integral dose-volume histogram and the treatment volume ratio, a plot of treatment volume ratio versus percentage dose may be considered as a useful tool for plan evaluation. To validate the suggested argument, two simple experiments simulating the conformal and nonconformal cases were conducted on the geometric phantom that is commercially available from Radionics. An actual patient treatment plan is also included to explore the effectiveness of the proposed parameters. It is an attempt to establish the baseline of a conformal plan.
RESULTS: A plot showed the ability to give the user an idea whether the size of the collimator was adequate to cover the delineated lesion when the user-defined criteria had been in place. Two parameters, namely take-off dose (TOD) and take-off volume (TOV) were defined. The former was defined as the maximum dose level found on the surface of the target volume. The TOD is also the maximum possible dose to be received by the adjacent normal tissue. The latter was defined as the percentage of the target volume that received the TOD. Another parameter, irradiated percentage volume (IPV), was defined here as the percentage of the target volume receiving at least the prescribed dose. When the prescribed dose is also the TOD, the IPV becomes the TOV. They were proved to be effective in evaluating the dose conformity. Another term known as equivalent fall-off distance (EFOD) was defined as the equivalent radial distance calculated between two isodose lines. In fact, the dose fall-off rate can also act as a measuring index for plan comparison, because a fast dose fall-off rate is often a requirement for radiosurgery in order to minimize the risk of radiation damage to the surrounding structures. The two phantom studies showed consistent results with the theoretical predictions. The ability of the plot was further explored in the patient treatment plan studies. It was demonstrated that the plot had a remarkable ability to check whether the hot spot is in the vicinity of the lesion. A baseline of a conformal plan was also established; for example, a plan is said to be conformal if its IPV has attained a value of not less than 95% and its associated TVR is not greater than 2.
CONCLUSION: The proposed method has demonstrated the effectiveness in dose conformity evaluation. It supplements the integral dose-volume histogram to provide a complete information of a treatment plan in terms of dose uniformity and conformity.

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Year:  1999        PMID: 10477028     DOI: 10.1016/s0360-3016(99)00175-3

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


  5 in total

1.  A computational tool for the efficient analysis of dose-volume histograms from radiation therapy treatment plans.

Authors:  Anil Pyakuryal; W Kenji Myint; Mahesh Gopalakrishnan; Sunyoung Jang; Jerilyn A Logemann; Bharat B Mittal
Journal:  J Appl Clin Med Phys       Date:  2010-01-28       Impact factor: 2.102

Review 2.  Plan evaluation indices: A journey of evolution.

Authors:  Ganeshkumar Patel; Abhijit Mandal; Sunil Choudhary; Ritusha Mishra; Ravindra Shende
Journal:  Rep Pract Oncol Radiother       Date:  2020-03-04

3.  Evaluation of Plan Quality Metrics in Stereotactic Radiosurgery/Radiotherapy in the Treatment Plans of Arteriovenous Malformations.

Authors:  Sharika Venugopal Menon; Raghukumar Paramu; Saju Bhasi; Raghuram Kesavan Nair
Journal:  J Med Phys       Date:  2018 Oct-Dec

4.  Physical and Radiobiological Evaluation of Accelerated Intensity Modulated Radiotherapy for Locally Advanced Head and Neck Cancer and Comparison with Short-Term Clinical Outcomes.

Authors:  Rekha Reddy Buchapudi; Ravikumar Manickam; Anil Kumar M R; Tanvir Pasha C R; Varatharaj Chandraraj; Anil Pyakuryal; Ganesh Narayanasamy
Journal:  Asian Pac J Cancer Prev       Date:  2019-08-01

5.  Unified dosimetry index (UDI): a figure of merit for ranking treatment plans.

Authors:  Hilary Akpati; ChangSeon Kim; Bong Kim; Tae Park; Allen Meek
Journal:  J Appl Clin Med Phys       Date:  2008-06-23       Impact factor: 2.102

  5 in total

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