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Dosimetric Application of SRT Treatment Plans in Patients with Brain Metastases for IRIS and Mlc-Based Collimators in the CyberKnife System

Year 2021, Volume: 47 Issue: 3, 431 - 437, 01.12.2021
https://doi.org/10.32708/uutfd.1009170

Abstract

The purpose of this study is to evaluate and compare the quality of the plans made with IRIS collimator and MLC for intracranial treatments performed with Cyberknife. Homogeneity, conformality, gradient index, Monitor Unit and treatment time parameters were used in the evaluation. When creating treatment plans, attention was paid to the fact that % 100 of the prescribed dose enveloped % 95 of the target volume, while ensuring maximum protection of critical organs. Treatment plans were made for the target volumes of 10 cases with brain metastases in different localizations using two different collimators. The dose prescribed in the plans was defined as 18 Gy in 3 fractions. In order to make an accurate comparison, the planning parameters used for IRIS collimator and MLC were kept constant for each case. The prescribed dose was defined as a minimum isodose curve of % 80. There was no statistically significant difference between the two decouples for the values of HI, nCI, GI (p>0.05). CI was lower in plans with IRIS than MLC, and for MU and MLC treatment periods, quite low values were obtained in plans with IRIS collimator and there is a statistically significant difference (p<0.05). The mean MU values were 10399 ± 3017.3 MU, 3166 MU ± 792.7 MU for IRIS and MLC, respectively, and the mean treatment time was 25 ± 7.5 min, 14.5 ± 2.3 for IRIS and MLC, respectively. When the quality of the plan for IRIS collimator and MLC was compared in the treatment of intracranial Cyberknife, it was found that in the plans made with MLC for the duration of treatment and MU, the treatment was completed in a shorter time with less MU value without loss in the quality indices. This, in turn, allows the patient to complete his treatment in less time.

References

  • 1. Fares, J., Cordero, A., Kanojia, D., & Lesniak, M. S. The network of cytokines in brain metastases. Cancers. (2021);13(1), 1–17
  • 2. Achrol, A. S., Rennert, R. C., Anders, C., Soffietti, R., Ahluwalia, M. S., et al. Brain metastases. Nature Reviews Disease Primers. (2019);5(1).
  • 3. Gaspar, L. E., Mehta, M. P., Patchell, R. A., Burri, S. H., Robinson, P. D., et al. The role of whole brain radiation therapy in the management of newly diagnosed brain metastases: A systematic review and evidence-based clinical practice guideline. Journal of Neuro-Oncology. (2010); 96(1), 17–32.
  • 4. Lippitz, B., Lindquist, C., Paddick, I., Peterson, D., O’Neill, K., et al. Stereotactic radiosurgery in the treatment of brain metastases: The current evidence. Cancer Treatment Reviews. (2014); 40(1), 48–59.
  • 5. Lehrer, E. J., Peterson, J. L., Zaorsky, N. G., Brown, P. D., Sahgal, A., et al. Single versus Multifraction Stereotactic Radiosurgery for Large Brain Metastases: An International Meta-analysis of 24 Trials. International Journal of Radiation Oncology Biology Physics. (2019); 103(3), 618–630.
  • 6. Guckenberger, M., Baus, W. W., Blanck, O., Combs, S. E., Debus, J., et al. Definition and quality requirements for stereotactic radiotherapy: consensus statement from the DEGRO/DGMP Working Group Stereotactic Radiotherapy and Radiosurgery. Strahlentherapie Und Onkologie. (2020); 196(5), 417–420.
  • 7. Loo, M., Pin, Y., Thierry, A., & Clavier, J. B. Single-fraction radiosurgery versus fractionated stereotactic radiotherapy in patients with brain metastases: a comparative study. Clinical and Experimental Metastasis. (2020); 37(3), 425–434.
  • 8. CyberKnife. CyberKnife Treatment Delivery System. Biomedical Safety & Standards. (2018); 40(20), 156.
  • 9. Narayanasamy, G., Stathakis, S., Gutierrez, A. N., Pappas, E., Crownover, R., et al. A Systematic Analysis of 2 Monoisocentric Techniques for the Treatment of Multiple Brain Metastases. Technology in Cancer Research and Treatment. (2017); 16(5), 639–644.
  • 10. Yan, L., Xu, Y., Chen, X., Xie, X., Liang, B., et al. A new homogeneity index definition for evaluation of radiotherapy plans. Journal of Applied Clinical Medical Physics. (2019); 20(11), 50–56.
  • 11. Shaw, E., Kline, R., Gillin, M., Souhami, L., Hirschfeld, A., et al. Radiation therapy oncology group: Radiosurgery quality assurance guidelines. International Journal of Radiation Oncology, Biology, Physics. (1993); 27(5), 1231–1239.
  • 12. Kaliyaperumal, V., Abraham, S., Veni, M., Banerjee, S., Tamilselvan, S., et al. Dosimetric comparison of robotic and linear accelerator multi-leaf collimator-based stereotactic radiosurgery for arteriovenous malformation. Journal of Medical Physics. (2021); 46(1), 16–25.
  • 13. Ho, A., Soltys, S. G., Lo, A., & Chang, S. D. Implementation of the Gradient Index in Robotic Radiosurgery Treatment Planning. (2017); 4.
  • 14. Lupattelli, M., Alì, E., Ingrosso, G., Saldi, S., Fulcheri, C., Borghesi, S., et al. Stereotactic radiotherapy for brain metastases: Imaging tools and dosimetric predictive factors for radionecrosis. Journal of Personalized Medicine. (2020); 10(3), 1–13.
  • 15. Ermiş, E., Blatti-Moreno, M., Leiser, D., Cihoric, N., Schmidhalter, D., et al. Dose analysis of InCise 2 multi leaf collimator and IRIS-based stereotactic radiotherapy plans for brain and liver tumors. Biomedical Physics and Engineering Express. (2019); 5(3).
  • 16. Limoges, C., Bellec, J., Delaby, N., Perdrieux, M., Jouyaux, F., et al. PO-0826: Evaluation of the new InCise MLC for Cyberknife stereotactic radiotherapy. Radiotherapy and Oncology. (2017); 123, S444.
  • 17. Lan, J. H., Shieh, C. S., Liu, C. H., Cho, I. C., Tsai, I. H., et al. Plan Quality and Secondary Cancer Risk Assessment in Patients with Benign Intracranial Lesions after Radiosurgery using the CyberKnife M6 Robotic Radiosurgery System. Scientific Reports. (2019); 9(1), 1–10.
  • 18. Jang, S. Y., Lalonde, R., Ozhasoglu, C., Burton, S., Heron, D., et al. Dosimetric comparison between cone/Iris-based and InCise MLC-based CyberKnife plans for single and multiple brain metastases. Journal of Applied Clinical Medical Physics. (2016); 17(5), 184–199.
  • 19. Schmitt, D., El Shafie, R., Klüter, S., Arians, N., Schubert, K., et al. Treatment planning for MLC based robotic radiosurgery for brain metastases: Plan comparison with circular fields and suggestions for planning strategies. Current Directions in Biomedical Engineering. (2017); 3(2), 151–154.

CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması

Year 2021, Volume: 47 Issue: 3, 431 - 437, 01.12.2021
https://doi.org/10.32708/uutfd.1009170

Abstract

Bu çalışmanın amacı; Cyberknife ile gerçekleştirilen intrakranial tedavilerde IRIS kolimatör ve MLC ile yapılan planların kalitelerini değerlendirmek ve karşılaştırmaktır. Değerlendirme yapılırken homojenite, konformalite, gradiyent indeks, Monitör Unit ve tedavi süresi parametreleri kullanıldı. Tedavi planları oluşturulurken kritik organların maksimum derecede korunması sağlanırken reçete edilen dozun %100’ünün, hedef hacmin %95’ini sarmasına dikkat edildi. Beyin metastazlı 10 olgunun, iki farklı kolimatör kullanılarak farklı lokalizasyonlarda bulunan hedef hacimlere yönelik, tedavi planları yapıldı. Planlarda reçete edilen doz 3 fraksiyonda 18 Gy olarak tanımlandı. Doğru bir karşılaştırma yapabilmek için IRIS kolimatör ve MLC için kullanılan planlama parametreleri, her bir olgu için sabit tutuldu. Reçete edilen doz minumum %80’lik izodoz eğrisine tanımlandı. HI, nCI, GI değerleri için iki ayrı planlama arasında istatistiksel anlamlı bir fark bulunmadı (p>0,05). CI, IRIS ile yapılan planlarda MLC’ye göre daha düşük, MU ve tedavi süreleri için ise MLC ile yapılan planlarda IRIS kolimatöre göre oldukça düşük değerler elde edildi ve istatistiksel olarak anlamlı fark vardır (p<0,05). Ortalama MU değerleri sırasıyla IRIS ve MLC için; 10399 ± 3017,3 MU, 3166 MU ± 792,7 MU ve ortalama tedavi süresi sırasıyla IRIS ve MLC için; 25 ± 7,5 dk, 14,5 ± 2,3 idi. İntrakranial Cyberknife tedavisinde IRIS kolimatör ve MLC için plan kalitesi karşılaştırıldığında tedavi süresi ve MU için MLC ile yapılan planlarda kalite indekslerinde kayıp olmadan tedaviyi daha az MU değeri ile daha kısa sürede bitirdiği tespit edilmiştir. Bu da olgunun daha az sürede tedavisini tamamlamasına olanak sağlamaktadır.

References

  • 1. Fares, J., Cordero, A., Kanojia, D., & Lesniak, M. S. The network of cytokines in brain metastases. Cancers. (2021);13(1), 1–17
  • 2. Achrol, A. S., Rennert, R. C., Anders, C., Soffietti, R., Ahluwalia, M. S., et al. Brain metastases. Nature Reviews Disease Primers. (2019);5(1).
  • 3. Gaspar, L. E., Mehta, M. P., Patchell, R. A., Burri, S. H., Robinson, P. D., et al. The role of whole brain radiation therapy in the management of newly diagnosed brain metastases: A systematic review and evidence-based clinical practice guideline. Journal of Neuro-Oncology. (2010); 96(1), 17–32.
  • 4. Lippitz, B., Lindquist, C., Paddick, I., Peterson, D., O’Neill, K., et al. Stereotactic radiosurgery in the treatment of brain metastases: The current evidence. Cancer Treatment Reviews. (2014); 40(1), 48–59.
  • 5. Lehrer, E. J., Peterson, J. L., Zaorsky, N. G., Brown, P. D., Sahgal, A., et al. Single versus Multifraction Stereotactic Radiosurgery for Large Brain Metastases: An International Meta-analysis of 24 Trials. International Journal of Radiation Oncology Biology Physics. (2019); 103(3), 618–630.
  • 6. Guckenberger, M., Baus, W. W., Blanck, O., Combs, S. E., Debus, J., et al. Definition and quality requirements for stereotactic radiotherapy: consensus statement from the DEGRO/DGMP Working Group Stereotactic Radiotherapy and Radiosurgery. Strahlentherapie Und Onkologie. (2020); 196(5), 417–420.
  • 7. Loo, M., Pin, Y., Thierry, A., & Clavier, J. B. Single-fraction radiosurgery versus fractionated stereotactic radiotherapy in patients with brain metastases: a comparative study. Clinical and Experimental Metastasis. (2020); 37(3), 425–434.
  • 8. CyberKnife. CyberKnife Treatment Delivery System. Biomedical Safety & Standards. (2018); 40(20), 156.
  • 9. Narayanasamy, G., Stathakis, S., Gutierrez, A. N., Pappas, E., Crownover, R., et al. A Systematic Analysis of 2 Monoisocentric Techniques for the Treatment of Multiple Brain Metastases. Technology in Cancer Research and Treatment. (2017); 16(5), 639–644.
  • 10. Yan, L., Xu, Y., Chen, X., Xie, X., Liang, B., et al. A new homogeneity index definition for evaluation of radiotherapy plans. Journal of Applied Clinical Medical Physics. (2019); 20(11), 50–56.
  • 11. Shaw, E., Kline, R., Gillin, M., Souhami, L., Hirschfeld, A., et al. Radiation therapy oncology group: Radiosurgery quality assurance guidelines. International Journal of Radiation Oncology, Biology, Physics. (1993); 27(5), 1231–1239.
  • 12. Kaliyaperumal, V., Abraham, S., Veni, M., Banerjee, S., Tamilselvan, S., et al. Dosimetric comparison of robotic and linear accelerator multi-leaf collimator-based stereotactic radiosurgery for arteriovenous malformation. Journal of Medical Physics. (2021); 46(1), 16–25.
  • 13. Ho, A., Soltys, S. G., Lo, A., & Chang, S. D. Implementation of the Gradient Index in Robotic Radiosurgery Treatment Planning. (2017); 4.
  • 14. Lupattelli, M., Alì, E., Ingrosso, G., Saldi, S., Fulcheri, C., Borghesi, S., et al. Stereotactic radiotherapy for brain metastases: Imaging tools and dosimetric predictive factors for radionecrosis. Journal of Personalized Medicine. (2020); 10(3), 1–13.
  • 15. Ermiş, E., Blatti-Moreno, M., Leiser, D., Cihoric, N., Schmidhalter, D., et al. Dose analysis of InCise 2 multi leaf collimator and IRIS-based stereotactic radiotherapy plans for brain and liver tumors. Biomedical Physics and Engineering Express. (2019); 5(3).
  • 16. Limoges, C., Bellec, J., Delaby, N., Perdrieux, M., Jouyaux, F., et al. PO-0826: Evaluation of the new InCise MLC for Cyberknife stereotactic radiotherapy. Radiotherapy and Oncology. (2017); 123, S444.
  • 17. Lan, J. H., Shieh, C. S., Liu, C. H., Cho, I. C., Tsai, I. H., et al. Plan Quality and Secondary Cancer Risk Assessment in Patients with Benign Intracranial Lesions after Radiosurgery using the CyberKnife M6 Robotic Radiosurgery System. Scientific Reports. (2019); 9(1), 1–10.
  • 18. Jang, S. Y., Lalonde, R., Ozhasoglu, C., Burton, S., Heron, D., et al. Dosimetric comparison between cone/Iris-based and InCise MLC-based CyberKnife plans for single and multiple brain metastases. Journal of Applied Clinical Medical Physics. (2016); 17(5), 184–199.
  • 19. Schmitt, D., El Shafie, R., Klüter, S., Arians, N., Schubert, K., et al. Treatment planning for MLC based robotic radiosurgery for brain metastases: Plan comparison with circular fields and suggestions for planning strategies. Current Directions in Biomedical Engineering. (2017); 3(2), 151–154.
There are 19 citations in total.

Details

Primary Language Turkish
Subjects Oncology and Carcinogenesis
Journal Section Research Article
Authors

Mehmet Tosun 0000-0002-8034-2507

Sibel Kahraman Çetintaş 0000-0002-4483-9284

Hidayetül Mediha Kılıç 0000-0002-0022-1140

Metin Zorlutuna 0000-0001-9445-2208

Arda Kahraman This is me 0000-0003-0150-8052

Ali Altay This is me 0000-0003-2224-9248

Meral Kurt 0000-0003-1637-910X

Candan Demiröz Abakay 0000-0001-5380-5898

Publication Date December 1, 2021
Acceptance Date December 2, 2021
Published in Issue Year 2021 Volume: 47 Issue: 3

Cite

APA Tosun, M., Kahraman Çetintaş, S., Kılıç, H. M., Zorlutuna, M., et al. (2021). CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması. Uludağ Üniversitesi Tıp Fakültesi Dergisi, 47(3), 431-437. https://doi.org/10.32708/uutfd.1009170
AMA Tosun M, Kahraman Çetintaş S, Kılıç HM, Zorlutuna M, Kahraman A, Altay A, Kurt M, Demiröz Abakay C. CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması. Uludağ Tıp Derg. December 2021;47(3):431-437. doi:10.32708/uutfd.1009170
Chicago Tosun, Mehmet, Sibel Kahraman Çetintaş, Hidayetül Mediha Kılıç, Metin Zorlutuna, Arda Kahraman, Ali Altay, Meral Kurt, and Candan Demiröz Abakay. “CyberKnife Sisteminde IRIS Ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması”. Uludağ Üniversitesi Tıp Fakültesi Dergisi 47, no. 3 (December 2021): 431-37. https://doi.org/10.32708/uutfd.1009170.
EndNote Tosun M, Kahraman Çetintaş S, Kılıç HM, Zorlutuna M, Kahraman A, Altay A, Kurt M, Demiröz Abakay C (December 1, 2021) CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması. Uludağ Üniversitesi Tıp Fakültesi Dergisi 47 3 431–437.
IEEE M. Tosun, S. Kahraman Çetintaş, H. M. Kılıç, M. Zorlutuna, A. Kahraman, A. Altay, M. Kurt, and C. Demiröz Abakay, “CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması”, Uludağ Tıp Derg, vol. 47, no. 3, pp. 431–437, 2021, doi: 10.32708/uutfd.1009170.
ISNAD Tosun, Mehmet et al. “CyberKnife Sisteminde IRIS Ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması”. Uludağ Üniversitesi Tıp Fakültesi Dergisi 47/3 (December 2021), 431-437. https://doi.org/10.32708/uutfd.1009170.
JAMA Tosun M, Kahraman Çetintaş S, Kılıç HM, Zorlutuna M, Kahraman A, Altay A, Kurt M, Demiröz Abakay C. CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması. Uludağ Tıp Derg. 2021;47:431–437.
MLA Tosun, Mehmet et al. “CyberKnife Sisteminde IRIS Ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması”. Uludağ Üniversitesi Tıp Fakültesi Dergisi, vol. 47, no. 3, 2021, pp. 431-7, doi:10.32708/uutfd.1009170.
Vancouver Tosun M, Kahraman Çetintaş S, Kılıç HM, Zorlutuna M, Kahraman A, Altay A, Kurt M, Demiröz Abakay C. CyberKnife Sisteminde IRIS ve MLC Tabanlı Kolimatörler için Beyin Metastazlı Olgularda SRT Tedavi Planlarının Dozimetrik Karşılaştırması. Uludağ Tıp Derg. 2021;47(3):431-7.

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