72 Lung complications in radiation treatment of malignant thymoma: A retrospective analysis of dose-volume dependence

AIM: To describe a novel Modied Segmental Boost Technique (MSBT) for combined irradiation of pelvis and inguinal nodes and to compare the dosimetry of the new method with that of other traditional methods of radiation treatment and IMRT. Total 30 patients who required combined irradiation of pelvis and inguinal regi METHODS AND MATERIALS: ons are included in our study to illustrate details and advantages of MSBT. Conventional photons with enface electrons design was created rst with two opposing parallel elds and four eld box. MSBT plans are generated and patient is treated with this technique to TD 45-50Gy for 5-6 weeks duration. A step-and-shoot inverse IMRT planning was subsequently generated. For dosimetric comparison, these treatment techniques were evaluated by dose-volume histogram (DVH) of PTV and OARs. Dose proles at different depths from each treatment planning were generated for comparison. Comparing the modied segmental boost technique with conventional two oppos RESULTS: ing and four eld box technique, we have found out that the target coverage, dose homogeneity index (DHI) and femoral head sparing is superior in modied segmental boost technique compared to other conventional approaches. And also the patients had better clinical response of both primary and the nodes with minimal skin morbidity when compared with conventionally treated patients data. DHI and target coverage of MSBT was comparable with that of IMRT. CONCLUSION: To cover pelvis and inguinal/femoral nodes, MSBT is technically simple to simulate, plan, and execute. Dosimetric study has demonstrated that it achieves comparable PTV coverage compared with other approaches while at the same time signicantly sparing the surrounding OAR .It also has dose homogeneity comparable with IMRT and can be a nearer alternative for IMRT, in centers which are not having the facility and where the patient load is higher.

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Correlation of 2D parameters to lung and heart dose-volume in radiation treatment of breast cancer

Acta Oncologica ◽

10.3109/0284186x.2012.673737 ◽

2012 ◽

Vol 52 (1) ◽

pp. 178-183 ◽

Cited By ~ 10

Author(s):

Indra J. Das ◽

Janna Z. Andrews ◽

Minsong Cao ◽

Peter A. S. Johnstone

Keyword(s):

Breast Cancer ◽

Radiation Treatment ◽

Heart Dose ◽

Dose Volume

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Rectal Dose-Volume Dependence on Timing of Post-Seed Imaging for 131Cs Prostate Seed Implants

Brachytherapy ◽

10.1016/j.brachy.2011.02.149 ◽

2011 ◽

Vol 10 ◽

pp. S77-S78

Author(s):

Ravindra Yaparpalvi ◽

William Bodner ◽

Hsiang-Chi Kuo ◽

Keyur J. Mehta ◽

Dennis Mah ◽

...

Keyword(s):

Rectal Dose ◽

Volume Dependence ◽

Dose Volume

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Radiation treatment with volumetric modulated arc therapy of hepatocellular carcinoma patients. Early clinical outcome and toxicity profile from a retrospective analysis of 138 patients

Radiation Oncology ◽

10.1186/1748-717x-7-207 ◽

2012 ◽

Vol 7 (1) ◽

pp. 207 ◽

Cited By ~ 14

Author(s):

Po-Ming Wang ◽

Wei-Chung Hsu ◽

Na-Na Chung ◽

Feng-Ling Chang ◽

Antonella Fogliata ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Clinical Outcome ◽

Retrospective Analysis ◽

Radiation Treatment ◽

Volumetric Modulated Arc Therapy ◽

Toxicity Profile ◽

Arc Therapy

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PO-0632: Dose-volume related dysphagia in head and neck cancer Intensity Modulated Radiation Treatment

Radiotherapy and Oncology ◽

10.1016/s0167-8140(15)40624-3 ◽

2015 ◽

Vol 115 ◽

pp. S307

Author(s):

F. Ricchetti ◽

R. Mazzola ◽

A. Fiorentino ◽

S. Fersino ◽

N. Giaj Levra ◽

...

Keyword(s):

Head And Neck Cancer ◽

Head And Neck ◽

Neck Cancer ◽

Radiation Treatment ◽

Intensity Modulated ◽

Dose Volume

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Predicting dose-volume histogram of organ-at-risk using spatial geometric-encoding network for esophageal treatment planning

Journal of Ambient Intelligence and Smart Environments ◽

10.3233/ais-210084 ◽

2021 ◽

pp. 1-13

Author(s):

Fudong Nian ◽

Jie Sun ◽

Dashan Jiang ◽

Jingjing Zhang ◽

Teng Li ◽

...

Keyword(s):

Spatial Information ◽

Radiation Treatment ◽

Treatment Plan ◽

Left Lung ◽

Spatial Relationship ◽

Intensity Modulated Radiation Therapy ◽

Absolute Error ◽

Dose Volume Histogram ◽

Dose Volume ◽

Proposed Model

Dose-volume histogram (DVH) is an important tool to evaluate the radiation treatment plan quality, which could be predicted based on the distance-volume spatial relationship between planning target volumes (PTV) and organs-at-risks (OARs). However, the prediction accuracy is still limited due to the complicated calculation process and the omission of detailed spatial geometric features. In this paper, we propose a spatial geometric-encoding network (SGEN) to incorporate 3D spatial information with an efficient 2D convolutional neural networks (CNN) for accurate prediction of DVH for esophageal radiation treatments. 3D computed tomography (CT) scans, 3D PTV scans and 3D distance images are used as the multi-view input of the proposed model. The dilation convolution based Multi-scale concurrent Spatial and Channel Squeeze & Excitation (msc-SE) structure in the proposed model not only can maintain comprehensive spatial information with less computation cost, but also can extract the features of organs at different scales effectively. Five-fold cross-validation on 200 intensity-modulated radiation therapy (IMRT) esophageal radiation treatment plans were used in this paper. The mean absolute error (MAE) of DVH focusing on the left lung can achieve 2.73 ± 2.36, while the MAE was 7.73 ± 3.81 using traditional machine learning prediction model. In addition, extensive ablation studies have been conducted and the quantitative results demonstrate the effectiveness of different components in the proposed method.

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