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  3. NOFRIDIANITA

Perbandingan Verifikasi Akurasi Posisi Pasien Radioterapi Secara Manual dan Semiotomatis Berbasis Citra DRR/EPID

SUSI NOFRIDIANITA, HERU PRASETIO, SUPRIYANTO A PAWIRO

Abstract


ABSTRACT
Radiotherapy is one of common treatment modality for Nasopharyngeal Cancer. The development of intensity modulated radiotherapy (IMRT technique) gives satisfactory results in the nasopharyngeal cancer treatment, both clinically and dosimetry. IMRT can reduce the effects of acute and chronic, with a maximum dose coverage to the tumor and minimal dose to the organ or normal tissue surrounding target value. The purpose of this study is to compare the
accuracy of patient positioning verification of Nasopharyngeal Cancer IMRT with DRR / EPID image registration. Retrospective data analysis of the AP and Lateral projections DRR and EPID images 35 patients (140 images) were then manually verified by simulative applied fusion semiautomatic with FIJI program. FIJI program improved the image quality of the DRR and EPID to facilitate the image registration. Results of this study shows no statistically significant
difference between the manual verification and semiautomatic fusion method of nasopharyngeal cancer patients, but there is a tendency that the semiautomatic method with FIJI program provides verification geometry radiotherapy better a result than manual methods.

ABSTRAK
Teknik Intensity Modulated Radiotherapy (IMRT) dapat mengurangi efek akut dan kronik, dengan cakupan dosis maksimal pada tumor dan dosis minimal pada organ/jaringan sehat di sekitarnya. Tujuan dari penelitian ini adalah untuk mengetahui perbandingan verifikasi akurasi posisi pasien IMRT Kanker Nasofaring dengan registrasi citra DRR/ EPID. Analisis data retrospektif terhadap citra DRR/EPID dari 35 pasien proyeksi AP dan Lateral (140 citra) yang telah diverifikasi secara manual kemudian secara simulatif diterapkan metode fusi semiotomatis dengan program FIJI. Penggunaan program FIJI dapat memperbaiki kualitas citra DRR/EPID sehingga memudahkan dalam verifikasi geometri radioterapi. Hasil penelitian ini secara statistik menunjukkan tidak terdapat perbedaan antara verifikasi manual dengan
metode fusi pada radioterapi pasien kanker nasofaring, namun secara deskriptif terdapat kecenderungan bahwa metode fusi dengan program FIJI memberikan verifikasi geometri radioterapi yang lebih baik dibandingkan metode manual.


Keywords


nasopharyngeal cancer, geometry verification, DRR, EPID, PTV, IMRT

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DOI: 10.33371/ijoc.v10i3.438

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References


Direktorat Jenderal Pelayanan Medik (Departemen Kesehatan RI), 2011, Kanker di

Indonesia Tahun 2006, Badan Registrasi Kanker (Perhimpunan Dokter Spesialis

Patologi Indonesia), Yayasan Kanker Indonesia.

World Health Organization. Cancer Country Profile 2014 Switzerland

Adham M, Stoker SD, Wildeman MA, Rachmadi L, Gondhowiardjo S, Atmakusumah

D, Gatot D, Fles R, Greijer AE, Hermani B, Middeldorp JM, Tan IB. Current Status of

Cancer Care for Young Patients with Nasopharyngeal Carcinoma in Jakarta,

Indonesia. PLoS One. 2014;9(7):e102353.

Broderick Maria, Leech Michelle, Coffey Mary. Direct aperture optimization as a

means of reducing the complexity of intensity modulated radiation therapy plans.

http://www.ro-journal.com/content/4/1/8. Radiation Oncology 2009;4:8.

Hurkmans CW, Remeijer P, Lebesque JV, Mijnheer BJ. Set-up verification using

portal imaging; review of current clinical practice. Radiotheraphy Oncology.

;58(2):105-20

Stroom JC, Heijmen BJM. Geometrical Uncertainties, radiotherapy planning

margins, and the ICRU report-62. Radiotherapy and Oncology 2002 ;64(1):75-83

Blanco, A.L and K. Chao. Intensity Modulated Radiation Therapy in Head and Neck

Cancer 2002 New York

Conselo Bastida, Jumila Jorge. DRR and Portal Image Registration for Automatic

Patient Positioning in Radiotherapy Treatment. 2011

George K Matsopoulus, Pantelis A. Registration of Electronic Portal Images for

Patient Set-Up Verification. 2004

Moseley J, Munto P. A. Semiautomatic method of Registration of Portal Images.

Med Phys. 1994. ;21(4):551-8

Yoon M, Cheong M, Kim J, Shin DH, Park SY, Lee SB. Accuracy of an automatic

patient-positioning system based on the correlation of two edge images in

radiotherapy. J Digit Imaging 2011 Apr;24(2):322-30.

Asvestas PA, Delibasis KK, Mouravliansky NA, Matsopoulos GK. ESTERR-PRO: a

setup verification software system using electronic portal imaging. Int J Biomed

Imaging 2007 :61523. doi: 10.1155/2007/61523

Sutherland K, Ishikawa M, Bengua G, Ito YM, Miyamoto Y, Shirato H. Detection of

patient setup errors with a portal image - DRR registration software application. J

Appl Clin Med Phys 2011;12(3):3492


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