Implementation of intensity modulated radiotherapy for prostate cancer in a private radiotherapy service in Mexico

Poitevin-Chacón, María Adela; González, G.; Zermeño, Adriana Alvarado; J, Castro; Balcázar, Christian Haydeé Flores; Pérez, Samuel Rosales; Pastenes, M A Perez; Laguna, Alejandro Rodríguez; Fernández, P.; Fernández, Alejandro Calvo; Ventura, Jorge Bastida

doi:10.1016/j.rpor.2014.06.002

Cited by 2 publications

(2 citation statements)

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“…[1213] Even if IMRT technique has made it possible to achieve higher dose conformity to the tumor and to reduce the dose to healthy tissue structures, the degree of delivery freedom for dose delivery between IMRT and VMAT are entirely different. [14] Consequently, the increased degrees of freedom with VMAT technique, whether it helps to reduce dose to healthy tissues without compromising on target coverage and sparing of OARs has to be evaluated.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of healthy tissue dose at different regions between volumetric-modulated arc therapy and intensity-modulated radiation therapy plans in the treatment of various cancers

et al. 2019

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Background:Radiotherapy plays an important role in the management of cancer. Although the improved technologies increase therapeutic index, different delivery techniques deliver different dose pattern to the healthy tissue within and outside treatment volume.Objective:The objective of this study was to evaluate the low, intermediate, and high dose to healthy tissue within and outside the treatment volume and to find the relation between tumor volume and various doses received healthy tissue volume.Materials and Methods:A total of 150 patients were included. For all patients, planning computed tomography images were acquired. Tumors, critical structures, and healthy tissue volumes at different regions were delineated. Two sets of plans, one with volumetric-modulated arc therapy and another with intensity-modulated radiation therapy (IMRT) were created, optimized for 6 MV photons and dose was calculated. Dosimetry results for tumor, organs at risks (OARs), and healthy tissue from both the techniques were evaluated and compared.Results:Tumor coverage and dose to OARs was significantly better with volumetric-modulated arc therapy (VMAT). Volume of healthy tissue received high-dose within the treatment volume as well as volume of healthy tissue received low and intermediate-dose out of treatment volume were significantly (P < 0.002) lesser with VMAT. Besides, the results showed that as the tumor volume increased, the various dose received healthy tissue volume also increased.Conclusions:VMAT plan can reduce the risk of secondary malignancy while treating different sites of cancer. VMAT is the most appropriate technique than IMRT, especially in the treatment of large tumor volume. Special attention has to be given, especially while treating women and children.

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Section: Introductionmentioning

confidence: 99%

Evaluation of healthy tissue dose at different regions between volumetric-modulated arc therapy and intensity-modulated radiation therapy plans in the treatment of various cancers

et al. 2019

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“…The treatment is delivered during a predefined number of treatment sessions. IMRT allows the achievement of a high degree of conformity between the volume to be treated and the prescribed dose distribution allowing high sparing of the surrounding healthy tissues when compared with conventional treatment techniques [1][2][3][4][5]. Despite improvements obtained with IMRT in head-and-neck cancer patients, sparing of the salivary glands is still challenging.…”

Section: Introductionmentioning

confidence: 99%

Predicting xerostomia after IMRT treatments: a data mining approach

et al. 2017

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Background and Purpose: Xerostomia is one of the most frequent long term side-effects experienced by head-and-neck cancer patients undergoing radiation therapy, reducing drastically the quality-of-life of patients. In the present study, a prediction model for xerostomia after radiotherapy is proposed. Material and Methods: Model construction was based on a dataset of 138 patients with headand-neck cancer treated at the Portuguese Institute of Oncology of Coimbra (IPOCFG) with Intensity Modulated Radiation Therapy, using different data mining predictors. The models considered dosimetric information and patient specific features known prior to treatment to estimate which patients will experience xerostomia (G0 vs G1/G2 according to RTOG/EORTC). The quality of the classifiers was assessed by applying cross-validation procedures and was validated by different datasets. ROC/AUC, precision and recall were the measures used to evaluate the models' performance. Results: Age, gender, severity of xerostomia prior to radiation therapy and planned mean (physical) dose in both parotids revealed to be relevant predictors of xerostomia. The best model was the one based on random forests. The method produced an AUC equal to 0.73, a precision of 72% and a recall of 83% considering the threshold 0.5. Conclusions: The ability to discriminate patients according to their features helps to achieve personalized radiation therapy treatments. Random forests revealed to be a good classification method for predicting the binary response "risk for xerostomia induced by radiation therapy at 12 months", showing a high discriminative ability.

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Implementation of intensity modulated radiotherapy for prostate cancer in a private radiotherapy service in Mexico

Cited by 2 publications

References 20 publications

Evaluation of healthy tissue dose at different regions between volumetric-modulated arc therapy and intensity-modulated radiation therapy plans in the treatment of various cancers

Evaluation of healthy tissue dose at different regions between volumetric-modulated arc therapy and intensity-modulated radiation therapy plans in the treatment of various cancers

Predicting xerostomia after IMRT treatments: a data mining approach

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