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Treatment Delivery Verification Using Thimble Chamber and IMRT Phantom

Muhammad Asif  -  Swat Institute of Nuclear Medicine, Oncology & Radiotherapy (SINOR) Saidu Sharif Swat, KPK, Pakistan., Pakistan
Aasia Razzaq  -  Institute of Nuclear Medicine and Oncology Lahore (INMOL) Lahore, Punjab, Pakistan., Pakistan
Nauman Amjid  -  Institute of Nuclear Medicine and Oncology Lahore (INMOL) Lahore, Punjab, Pakistan., Pakistan
Tariq Siddique  -  Pakistan Institute of Engineering & Applied Sciences (PIEAS) Islamabad, Pakistan., Pakistan
Habib Ahmad  -  Swat Institute of Nuclear Medicine, Oncology & Radiotherapy (SINOR) Saidu Sharif Swat, KPK, Pakistan., Pakistan
Shoab Shah  -  Swat Institute of Nuclear Medicine, Oncology & Radiotherapy (SINOR) Saidu Sharif Swat, KPK, Pakistan., Pakistan
*Javaid Ali orcid  -  Swat Institute of Nuclear Medicine, Oncology & Radiotherapy (SINOR) Saidu Sharif Swat, KPK, Pakistan., Pakistan
Received: 14 Mar 2026; Revised: 20 Aug 2026; Accepted: 20 Aug 2026; Available online: 31 Aug 2026; Published: 31 Aug 2026.

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Abstract

In external beam radiotherapy, over radiation dose results in severe side-effects, but under radiation dose decreases the probability of treatment for cancer patients. The purpose of the article was to verify treatment dose delivery in radiotherapy of the cancer patients using single point dose verification method. Computed tomography (CT) simulation of intensity-modulated radiation therapy (IMRT) phantom with slot-in ion chamber was done. The IMRT phantom was set on the treatment table of LINAC (Siemens) with FC65-P Farmer type thimble chamber for radiation dose measurement. Different plans were prepared on prowess panther treatment planning system (TPS) using CT images of IMRT Phantom. The monitor units (MU) and doses were calculated for both photon algorithms i.e. Collapsed Cone Convolution Superposition (CCCS) and Fast Photon (FP) algorithms. The calculations for treatment dose verification were done for both 6MV and 15MV energies produced by LINAC (Siemens) at central axis as well as off axis beams. The percentage difference between the measured and calculated dose was less than 1% except for those plans which have greater number of posterior beams. These percentage errors were slightly greater than 1% but well within international recommended limits of ±3% as per ICRU and AAPM. The percentage error in radiotherapy treatment delivery within limit confirms accurate radiotherapy treatment dose delivery with LINAC at the institute. The couch attenuation correction factor while calculating dose on treatment planning system.

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Keywords: IMRT, Dose verification, Radiotherapy, Ion chamber.

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Language : EN
  1. Zhang, J., et al., A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device. Radiation Oncology, 2021. 16: p. 1-15
  2. Schlegel, W., et al., New Technologies in Radiation Oncology. Journal of Nuclear Medicine, 2008. 49(4): p. 683-684
  3. Emami, B., Tolerance of normal tissue to therapeutic radiation. Reports of radiotherapy and Oncology, 2013. 1(1): p. 123-7
  4. Abdollahi, H., et al., Radiomics-guided radiation therapy: opportunities and challenges. Physics in Medicine & Biology, 2022. 67(12): p. 12TR02
  5. Zhang, W., et al., Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment. Nature Biotechnology, 2023: p. 1-8
  6. Singh, S., P. Raina, and O. Gurjar, Point Dose Measurement for Verification of Treatment Planning System using an Indigenous Heterogeneous Pelvis Phantom for Clarkson, Convolution, Superposition, and Fast Superposition Algorithms. Journal of Biomedical Physics & Engineering, 2019. 9(6): p. 613
  7. Koka, K., et al., Technological advancements in external beam radiation therapy (EBRT): An indispensable tool for cancer treatment. Cancer Management and Research, 2022: p. 1421-1429
  8. Khan, F.M., The physics of radiation therapy. 2010: Lippincott Williams & Wilkins
  9. Sharpe, M.B., IAEA Technical Reports Series No. 430: Commissioning and Quality Assurance of Computerized Planning Systems for Radiation Treatment of Cancer. Medical Physics, 2006. 33(2): p. 561-561
  10. Al Amri, I., et al., Radiotherapy pre-treatment dose validation: A second verification of monitor units (MU) with a commercial software. Journal of medical physics/Association of Medical Physicists of India, 2012. 37(4): p. 235
  11. Low, D.A., et al., Dosimetry tools and techniques for IMRT. Medical physics, 2011. 38(3): p. 1313-1338
  12. I'mRT Phantom User's Guide. 2003, IBA Dosimetry: Germany
  13. TRS, I., 398" Absorbed dose determination in external beam radiotherapy: An international code of practice for dosimetry based on standards of absorbed dose to water. International Atomic Energy Agency, Vienna, 2000
  14. Ali, J., et al., Estimation of net percent error in radioiodine-131 activity during administration to patients. Pakistan Journal of Nuclear Medicine, 2023. 13(1): p. 20-20
  15. Ali, J., A.U. Khan, and S. Ali, Theoretical comparison of absorbed dose estimation using dose commitment formula and medical internal radiation dose in radioactive iodine-131 therapy. Pakistan Journal of Nuclear Medicine, 2020. 10(1): p. 1-4
  16. Bhangle, J.R., V.S. Narayanan, and S.A. Deshpande, Dose linearity and uniformity of Siemens ONCOR impression plus linear accelerator designed for step-and-shoot intensity-modulated radiation therapy. Journal of Medical Physics/Association of Medical Physicists of India, 2007. 32(3): p. 103
  17. Venselaar, J., H. Welleweerd, and B. Mijnheer, Tolerances for the accuracy of photon beam dose calculations of treatment planning systems. Radiotherapy and oncology, 2001. 60(2): p. 191-201
  18. Botha, J.J., The evaluation of an algorithmic model, created for the image guided radiotherapy treatment couch for integration into the Pinnacle Treatment Planning System. 2020, Cape Peninsula University of Technology

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