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Year : 2017  |  Volume : 3  |  Issue : 2  |  Page : 31-36

Comparative Dosimetric Study of Five Field, Seven Field, Nine Field and Eleven Field Intensity-Modulated Radiotherapy for Carcinoma Cervix Treatment Using High Energy Linear Accelerator (Synergy Platform & XIO TPS)

1 Mahavir Cancer Santhan, Phulwarisharif, Patna, Bihar, India
2 Regional Cancer Canter, Indira Gandhi Institute of Medical Sciences, Sheikhpura, Patna - 14, Bihar, India

Correspondence Address:
Mukesh Kr Zope
Regional Cancer Center
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Source of Support: None, Conflict of Interest: None

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Objective: The purpose of this dosimetric study is the targeted dose Homogeneity Index (HI), conformity index (CI) and integral dose comparison of 5. 7, 9 & 11 field Intensity Modulated Radiotherapy (IMRT) for Carcinoma Cervix (Ca Cx) patients. Material and Methods: Fifteen patients of ca.cx were selected for this study at Radiation Oncology Department, Mahavir Cancer Sansthan, Patna between January 2009 and December 2012. Eight patients had PTV >1500 cc and seven patients had PTV< 1500 cc Dosimetric plans for all 5, 7, 9 & 11-field IMRT plan have been generated for each patient to comparatively evaluate the dosimetric status (HI, CI and Integral Dose) for all the patients. Results: For PTV (PTV >1500 cc), the three dosimetric parameters had approximate values for all fields (five fields, seven fields and nine fields) IMRT. The CI for the IMRT with nine fields plans was seems to be better than five fields For PTV <1500 cc. The three IMRTs plans were competitive with each other. The nine filed IMRT plans had a CI nearly to 1, better target coverage at the prescription dose, and a better Homogeneity Index. Conclusion: It can be concluded that IMRT is an effective definitive management tool for Cervical cancer with improved critical organ sparing and excellent dose homogenization in target organs. According to this study as the results from these algorithms differed, significant care should be taken when evaluating treatment plans, as the choice of the beam segment may influence treatment planning as well as clinical results.

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