Asian Pacific Journal of Cancer Prevention

  • 제13권5호
  • /
  • Pages.2393-2398
  • /
  • 2012
  • /
  • 1513-7368(pISSN)
  • /
  • 2476-762X(eISSN)
아시아태평양암예방학회 (Asian Pacific Journal of Cancer Prevention)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of the Geometric Accuracy of Anatomic Landmarks as Surrogates for Intrapulmonary Tumors in Image-guided Radiotherapy

  • Li, Hong-Sheng (Department of Radiation Oncology, Cancer Hospital and Institute, Tianjin Medical University) ;
  • Kong, Ling-Ling (Department of Radiation Oncology (Chest Section), Key Laboratory of Radiation Oncology of Shandong Province, Shandong Cancer Hospital and Institute) ;
  • Zhang, Jian (Department of Radiation Oncology, Cancer Hospital and Institute, Tianjin Medical University) ;
  • Li, Bao-Sheng (Department of Radiation Oncology (Chest Section), Key Laboratory of Radiation Oncology of Shandong Province, Shandong Cancer Hospital and Institute) ;
  • Chen, Jin-Hu (Department of Radiation Physics, Key Laboratory of Radiation Oncology of Shandong Province, Shandong Cancer Hospital and Institute) ;
  • Zhu, Jian (Department of Radiation Physics, Key Laboratory of Radiation Oncology of Shandong Province, Shandong Cancer Hospital and Institute) ;
  • Liu, Tong-Hai (Department of Radiation Physics, Key Laboratory of Radiation Oncology of Shandong Province, Shandong Cancer Hospital and Institute) ;
  • Yin, Yong (Department of Radiation Physics, Key Laboratory of Radiation Oncology of Shandong Province, Shandong Cancer Hospital and Institute)
  • 발행 : 2012.05.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Objectives: The purpose of this study was to evaluate the geometric accuracy of thoracic anatomic landmarks as target surrogates of intrapulmonary tumors for manual rigid registration during image-guided radiotherapy (IGRT). Methods: Kilovolt cone-beam computed tomography (CBCT) images acquired during IGRT for 29 lung cancer patients with 33 tumors, including 16 central and 17 peripheral lesions, were analyzed. We selected the "vertebrae", "carina", and "large bronchi" as the candidate surrogates for central targets, and the "vertebrae", "carina", and "ribs" as the candidate surrogates for peripheral lesions. Three to six pairs of small identifiable markers were noted in the tumors for the planning CT and Day 1 CBCT. The accuracy of the candidate surrogates was evaluated by comparing the distances of the corresponding markers after manual rigid matching based on the "tumor" and a particular surrogate. Differences between the surrogates were assessed using 1-way analysis of variance and post hoc least-significant-difference tests. Results: For central targets, the residual errors increased in the following ascending order: "tumor", "bronchi", "carina", and "vertebrae"; there was a significant difference between "tumor" and "vertebrae" (p = 0.010). For peripheral diseases, the residual errors increased in the following ascending order: "tumor", "rib", "vertebrae", and "carina"; There was a significant difference between "tumor" and "carina" (p = 0.005). Conclusions: The "bronchi" and "carina" are the optimal surrogates for central lung targets, while "rib" and "vertebrae" are the optimal surrogates for peripheral lung targets for manual matching of online and planned tumors.

키워드

참고문헌

  1. Bel A, Keus R, Vijlbrief RE, Lebesque JV (1995). Setup deviations in wedged pair irradiation of parotid gland and tonsillar tumors, measured with an electronic portal imaging device. Radiother Oncol, 37, 153-9. https://doi.org/10.1016/0167-8140(95)01627-S
  2. Bissonnette JP, Purdie TG, Higgins JA, Li W, Bezjak A (2009). Cone-beam computed tomographic image guidance for lung cancer radiation therapy. Int J Radiat Oncol Biol Phys, 73, 927-34. https://doi.org/10.1016/j.ijrobp.2008.08.059
  3. Boda-Heggemann J, Fleckenstein J, Lohr F, et al (2011). Multiple breath-hold CBCT for online image guided radiotherapy of lung tumors: simulation with a dynamic phantom and first patient data. Radiother Oncol, 98, 309-16. https://doi.org/10.1016/j.radonc.2011.01.019
  4. Chen AM, Farwell DG, Luu Q, et al (2011). Evaluation of the planning target volume in the treatment of head and neck cancer with intensity-modulated radiotherapy: what is the appropriate expansion margin in the setting of daily image guidance? Int J Radiat Oncol Biol Phys, 81, 943-9. https://doi.org/10.1016/j.ijrobp.2010.07.017
  5. de Boer HC, van Sornsen de Koste JR, et al (2001). Electronic portal image assisted reduction of systematic set-up errors in head and neck irradiation. Radiother Oncol, 61, 299-308. https://doi.org/10.1016/S0167-8140(01)00437-6
  6. Dirkx ML, de Boer JC, Heijmen BJ (2006). Improvement of radiotherapy treatment delivery accuracy using an electronic portal imaging device. Radiat Prot Dosimetry, 121, 70-9. https://doi.org/10.1093/rpd/ncl097
  7. Fox TH, Elder ES, Crocker IR, et al (2006). Clinical implementation and efficiency of kilovoltage image-guided radiation therapy. J Am Coll Radiol, 3, 38-44. https://doi.org/10.1016/j.jacr.2005.08.019
  8. Grills IS, Hugo G, Kestin LL, et al (2008). Image-guided radiotherapy via daily online cone-beam CT substantially reduces margin requirements for stereotactic lung radiotherapy. Int J Radiat Oncol Biol Phys, 70, 1045-56. https://doi.org/10.1016/j.ijrobp.2007.07.2352
  9. Guckenberger M, Meyer J, Wilbert J, et al (2006). Cone-beam CT based image-guidance for extracranial stereotactic radiotherapy of intrapulmonary tumors. Acta Oncol, 45, 897-906. https://doi.org/10.1080/02841860600904839
  10. Guckenberger M, Meyer J, Wilbert J, et al (2007). Intrafractional uncertainties in cone-beam CT based imageguided radiotherapy (IGRT) of pulmonary tumors. Radiother Oncol, 83, 57-64. https://doi.org/10.1016/j.radonc.2007.01.012
  11. Herman MG, Balter JM, Jaffray DA, et al (2001). Clinical use of electronic portal imaging: report of AAPM Radiation Therapy Committee Task Group 58. Med Phys, 28, 712-37. https://doi.org/10.1118/1.1368128
  12. Higgins J, Bezjak A, Franks K, et al (2009). Comparison of spine, carina, and tumor as registration landmarks for volumetric image-guided lung radiotherapy. Int J Radiat Oncol Biol Phys, 73, 1404-13. https://doi.org/10.1016/j.ijrobp.2008.06.1926
  13. Higgins J, Bezjak A, Hope A, et al (2011). Effect of Image- Guidance Frequency on Geometric Accuracy and Setup Margins in Radiotherapy for Locally Advanced Lung Cancer. Int J Radiat Oncol Biol Phys, 80, 1330-7. https://doi.org/10.1016/j.ijrobp.2010.04.006
  14. Perkins CL, Fox T, Elder E, et al (2006). Image-guided radiation therapy (IGRT) in gastrointestinal tumors. Jop, 7, 372-81.
  15. Purdie TG, Bissonnette JP, Franks K, et al (2007). Cone-beam computed tomography for on-line image guidance of lung stereotactic radiotherapy: localization, verification, and intrafraction tumor position. Int J Radiat Oncol Biol Phys, 68, 243-52. https://doi.org/10.1016/j.ijrobp.2006.12.022
  16. Rodriguez Cordon M, Ferrer Albiach C (2009). Theoretical aspects of implementation of kilovoltage cone-beam CT onboard linear accelerator for image-guided radiotherapy. Clin Transl Oncol, 11, 511-7. https://doi.org/10.1007/s12094-009-0395-x
  17. Song S, Choi E, Lee J, et al (2007). Image guided radiation therapy using cone-beam computed tomography in stereotactic radiosurgery for lung tumor. Int J Radiat Oncol Biol Phys, 69, S482.
  18. Thilmann C, Nill S, Tucking T, et al (2006). Correction of patient positioning errors based on in-line cone beam CTs: clinical implementation and first experiences. Radiation oncology (London, England), 1, 16. https://doi.org/10.1186/1748-717X-1-16
  19. Wang YY, Fu XL, Yang HJ, et al(2007). Residual error of the online kilovoltage cone-beam ct guided radiotherapy evaluated in phantom and thoracic cancer patients. Int J Radiat Oncol Biol Phys, 69, S499-500. https://doi.org/10.1016/j.ijrobp.2007.07.1714
  20. Yeung AR, Li JG, Shi W, et al (2009). Tumor localization using cone-beam CT reduces setup margins in conventionally fractionated radiotherapy for lung tumors. Int J Radiat Oncol Biol Phys, 74, 1100-7. https://doi.org/10.1016/j.ijrobp.2008.09.048