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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background: Radiotherapy (RT) provides a modern treatment to enhance the malignant glioma control rate. The purpose of our study was to determine the effect of tumor coverage on disease prognosis and to predict optimal RT plans to achieve a lower normal tissue complication probability (NTCP). Methods: Ten malignant-glioma patients with tumors adjacent to organs at risk (OARs) were collected. The patients were divided into two groups according to adequate coverage or not, and prognosis was analyzed. Then, using intensity-modulated radiation therapy (IMRT), volume-modulated arc therapy (VMAT), and helical tomotherapy (TOMO) to simulate new treatment plans for 10 patients, the advantages of these planning systems were revealed for subsequent prediction of NTCP. Results: The results of clinical analysis indicated that overall survival (p = 0.078) between the adequate and inadequate groups showed no differences, while the adequate group had better recurrence-free survival (p = 0.018) and progression-free survival (p = 0.009). TOMO had better CI (p < 0.001) and also predicted a lower total-irradiated dose to the normal brain (p = 0.001) and a lower NTCP (p = 0.027). Conclusions: The TOMO system provided optimal therapeutic planning, reducing NTCP and achieving better coverage. Combined with the clinical results, our findings suggest that TOMO can make malignant glioma patients close to OARs achieve better disease control.

Details

Title
To Optimize Radiotherapeutic Plans for Superior Tumor Coverage Predicts Malignant Glioma Prognosis and Normal Tissue Complication Probability
Author
Chun-Yuan, Kuo 1 ; Liu, Wei-Hsiu 2 ; Yu-Ching, Chou 3   VIAFID ORCID Logo  ; Ming-Hsien, Li 4 ; Jo-Ting, Tsai 5 ; Huang, David YC 6 ; Jang-Chun, Lin 5   VIAFID ORCID Logo 

 Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei 11031, Taiwan; [email protected] (C.-Y.K.); [email protected] (M.-H.L.); [email protected] (J.-T.T.); School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei 11031, Taiwan 
 Department of Neurological Surgery, Tri-Service General Hospital, National Defense Medical Center, No.325, Sec. 2, Cheng-Kung Road, Taipei 11490, Taiwan; [email protected]; Department of Surgery, School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan 
 School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan; [email protected] 
 Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei 11031, Taiwan; [email protected] (C.-Y.K.); [email protected] (M.-H.L.); [email protected] (J.-T.T.) 
 Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei 11031, Taiwan; [email protected] (C.-Y.K.); [email protected] (M.-H.L.); [email protected] (J.-T.T.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan 
 Department of Medical Physics, Duke University, Durham, NC 27708, USA; [email protected] 
First page
2413
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20770383
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2663039088
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.