The application of the tumor control probability model of nasopharyngeal carcinoma in three dimensional conformal treatment plan evaluation

2000 ◽  
Author(s):  
Po-man Wu
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Treatment Plan ◽  
Probability Model ◽  
Three Dimensional ◽  
Tumor Control ◽  
Tumor Control Probability ◽  
Plan Evaluation ◽  
Conformal Treatment ◽  
Treatment Plan Evaluation

scholarly journals Evaluation of Target Autocrop Function in Nasopharyngeal Carcinoma SIB IMRT Plan

2021 ◽  
Author(s):  
Xiaojuan Duan ◽  
Lu chen ◽  
Yibing Zhou
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Treatment Time ◽  
Treatment Plan ◽  
Nasopharyngeal Cancer ◽  
Normal Tissue Complication Probability ◽  
Tumor Control ◽  
Tumor Control Probability ◽  
Plan Quality ◽  
Delivery Accuracy ◽  
Delivery Efficiency

Abstract Purpose A new target autocrop function was introduced in the Varian Eclipse™ treatment planning software (version 15.5 above). The study aimed to evaluate this new target autocrop impact on nasopharyngeal carcinoma (NPC) plan quality and delivery efficiency. Methods Randomly 66 approved NPC simultaneous integrated boost (SIB) intensity modulated radiation therapy (IMRT) treatment plans were retrospectively studied. The manual cropping-based plans served as reference and were designed using sliding-window IMRT. Reference plans were re-optimized with identical planning parameters following the institutional clinical protocol except for the optimization objective of the manual cropping targets deleted. Additionally, each target within 5mm of another had one lower objective at 100% volume and one upper objective at 0% volume for the autocrop plans. Plan quality was assessed based on selected parameters, including TCP (tumor control probability), NTCP (normal tissue complication probability), conformality index (CI), homogeneity index (HI), and dose-volume characteristics. Additionally, the delivery efficiency, the total plan treatment time defined as a sum of monitor units (MUs) for each treated field, and delivery accuracy, γ passing rate of treatment plan quality assurance (QA) also were compared. Results Both the manual cropping plans and the autocrop plans could be approved by an experienced oncologist. Overall, the autocrop plans could provide approximately a 13% reduction in linac MU while maintaining comparable plan quality, radiobiological ranking, and accuracy to that of the manual cropping plans. Conclusions The new target autocrop tip facilitated the SIB IMRT plans for nasopharyngeal cancer patients. The autocrop could guarantee the quality and delivery accuracy of the radiotherapy plan, improved the planning efficiency, treatment efficiency, and reduced machine wear and tear. It was a promising tool for optimal plan selection for NPC SIB IMRT.

scholarly journals A Brachytherapy Plan Evaluation Tool for Interstitial Applications

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Surega Anbumani ◽  
N. Arunai Nambiraj ◽  
Sridhar Dayalan ◽  
Kalaivany Ganesh ◽  
Pichandi Anchineyan ◽  
...  
Keyword(s):  
Normal Tissue ◽  
Treatment Plan ◽  
Predictive Ability ◽  
Normal Tissue Complication Probability ◽  
Tumor Control ◽  
Tumor Control Probability ◽  
Evaluation Tool ◽  
Equivalent Uniform Dose ◽  
Plan Evaluation ◽  
Dose Volume Histograms

Radiobiological metrics such as tumor control probability (TCP) and normal tissue complication probability (NTCP) help in assessing the quality of brachytherapy plans. Application of such metrics in clinics as well as research is still inadequate. This study presents the implementation of two indigenously designed plan evaluation modules: Brachy_TCP and Brachy_NTCP. Evaluation tools were constructed to compute TCP and NTCP from dose volume histograms (DVHs) of any interstitial brachytherapy treatment plan. The computation module was employed to estimate probabilities of tumor control and normal tissue complications in ten cervical cancer patients based on biologically effective equivalent uniform dose (BEEUD). The tumor control and normal tissue morbidity were assessed with clinical followup and were scored. The acute toxicity was graded using common terminology criteria for adverse events (CTCAE) version 4.0. Outcome score was found to be correlated with the TCP/NTCP estimates. Thus, the predictive ability of the estimates was quantified with the clinical outcomes. Biologically effective equivalent uniform dose-based formalism was found to be effective in predicting the complexities and disease control.

scholarly journals Clinical Investigations Radiobiologically based treatment plan evaluation for prostate seed implants

2011 ◽  
Vol 2 ◽  
pp. 74-83
Author(s):  
Courtney Knaup ◽  
Panayiotis Mavroidis ◽  
Carlos Esquivel ◽  
Dimos Baltas ◽  
Sotirios Stathakis ◽  
...  
Keyword(s):  
Treatment Plan ◽  
Plan Evaluation ◽  
Clinical Investigations ◽  
Treatment Plan Evaluation

Radiobiological Models of Tissue Response to Radiation in Treatment Planning Systems

1998 ◽  
Vol 84 (2) ◽  
pp. 140-143 ◽  
Author(s):  
Andrzej Niemierko
Keyword(s):  
Radiation Therapy ◽  
Treatment Planning ◽  
Three Dimensional ◽  
Tissue Response ◽  
Tumor Control ◽  
Practical Implementation ◽  
Target Cells ◽  
Tumor Control Probability ◽  
Planning Systems ◽  
Treatment Planning Systems

Aims To present several biological concepts and models of tissue response to fractionated radiotherapy. To describe practical implementation of these models in three-dimensional treatment planning systems. Methods Models of cell survival, Equivalent Uniform Dose (EUD) and Tumor Control Probability (TCP) are discussed. These models are based on the target-cell hypothesis which assumes that response of organs and tissues to radiation therapy can be explained and mathematically described in terms of survival of the specific target-cells. Results Several formulae for deriving and calculating EUD and TCP for a given three-dimensional dose distribution are presented and discussed. Conclusions Biological models of tissue response to radiation, when used wisely, have a potential to be useful in radiation therapy treatment planning. The models can advance our understanding of the underlying biological mechanisms, and may help in designing new and better treatment strategies. They should be particularly useful in modern conformai radiotherapy where treatment strategy for each patient can be individualized and optimized according to patient characteristics and available technology of delivering sophisticated treatment plans.

Sign in / Sign up

Export Citation Format

Share Document