DOI QR코드

DOI QR Code

Efficient approach for determining four-dimensional computed tomography-based internal target volume in stereotactic radiotherapy of lung cancer

  • Yeo, Seung-Gu (Department of Radiation Oncology, Soonchunhyang University College of Medicine) ;
  • Kim, Eun Seog (Department of Radiation Oncology, Soonchunhyang University College of Medicine)
  • 투고 : 2013.08.07
  • 심사 : 2013.10.16
  • 발행 : 2013.12.31

초록

Purpose: This study aimed to investigate efficient approaches for determining internal target volume (ITV) from four-dimensional computed tomography (4D CT) images used in stereotactic body radiotherapy (SBRT) for patients with early-stage non-small cell lung cancer (NSCLC). Materials and Methods: 4D CT images were analyzed for 15 patients who received SBRT for stage I NSCLC. Three different ITVs were determined as follows: combining clinical target volume (CTV) from all 10 respiratory phases ($ITV_{10Phases}$); combining CTV from four respiratory phases, including two extreme phases (0% and 50%) plus two intermediate phases (20% and 70%) ($ITV_{4Phases}$); and combining CTV from two extreme phases ($ITV_{2Phases}$). The matching index (MI) of $ITV_{4Phases}$ and $ITV_{2Phases}$ was defined as the ratio of $ITV_{4Phases}$ and $ITV_{2Phases}$, respectively, to the $ITV_{10Phases}$. The tumor motion index (TMI) was defined as the ratio of $ITV_{10Phases}$ to $CTV_{mean}$, which was the mean of 10 CTVs delineated on 10 respiratory phases. Results: The ITVs were significantly different in the order of $ITV_{10Phases}$, $ITV_{4Phases}$, and $ITV_{2Phases}$ (all p < 0.05). The MI of $ITV_{4Phases}$ was significantly higher than that of $ITV_{2Phases}$ (p < 0.001). The MI of $ITV_{4Phases}$ was inversely related to TMI (r = -0.569, p = 0.034). In a subgroup with low TMI (n = 7), $ITV_{4Phases}$ was not statistically different from $ITV_{10Phases}$ (p = 0.192) and its MI was significantly higher than that of $ITV_{2Phases}$ (p = 0.016). Conclusion: The $ITV_{4Phases}$ may be an efficient approach alternative to optimal $ITV_{10Phases}$ in SBRT for early-stage NSCLC with less tumor motion.

키워드

참고문헌

  1. Dosoretz DE, Katin MJ, Blitzer PH, et al. Medically inoperable lung carcinoma: the role of radiation therapy. Semin Radiat Oncol 1996;6:98-104. https://doi.org/10.1016/S1053-4296(96)80006-3
  2. Kim MJ, Yeo SG, Kim ES, Min CK, An PS. Intensity-modulated stereotactic body radiotherapy for stage I non-small cell lung cancer. Oncol Lett 2013;5:840-4. https://doi.org/10.3892/ol.2012.1082
  3. Timmerman R, Paulus R, Galvin J, et al. Stereotactic body radiation therapy for inoperable early stage lung cancer. JAMA 2010;303:1070-6. https://doi.org/10.1001/jama.2010.261
  4. Baumann P, Nyman J, Hoyer M, et al. Outcome in a prospective phase ll trial of medically inoperable stage I non-small cell lung cancer patients treated with stereotactic body radiotherapy. J Clin Oncol 2009;27:3290-6. https://doi.org/10.1200/JCO.2008.21.5681
  5. Ricardi U, Filippi AR, Guarneri A, et al. Stereotactic body radiation therapy for early stage non-small cell lung cancer: results of a prospective trial. Lung Cancer 2010;68:72-7. https://doi.org/10.1016/j.lungcan.2009.05.007
  6. Daly ME, Perks JR, Chen AM. Patterns-of-care for thoracic stereotactic body radiotherapy among practicing radiation oncologists in the United States. J Thorac Oncol 2013;8:202-7. https://doi.org/10.1097/JTO.0b013e318279155f
  7. Keall P. 4-dimensional computed tomography imaging and treatment planning. Semin Radiat Oncol 2004;14:81-90. https://doi.org/10.1053/j.semradonc.2003.10.006
  8. International Commission on Radiation Units and Measurements. ICRU Report 62: prescribing, recording, and reporting photon beam therapy (supplement to ICRU Report 50). Bethesda: International Commission on Radiation Units and Measurements; 1999.
  9. Underberg RW, Lagerwaard FJ, Cuijpers JP, Slotman BJ, van Sornsen de Koste JR, Senan S. Four-dimensional CT scans for treatment planning in stereotactic radiotherapy for stage I lung cancer. Int J Radiat Oncol Biol Phys 2004;60:1283-90. https://doi.org/10.1016/j.ijrobp.2004.07.665
  10. Ezhil M, Vedam S, Balter P, et al. Determination of patientspecific internal gross tumor volumes for lung cancer using four-dimensional computed tomography. Radiat Oncol 2009;4:4. https://doi.org/10.1186/1748-717X-4-4
  11. Stevens CW, Munden RF, Forster KM, et al. Respiratory-driven lung tumor motion is independent of tumor size, tumor location, and pulmonary function. Int J Radiat Oncol Biol Phys 2001;51:62-8.
  12. van Sornsen de Koste JR, Lagerwaard FJ, Nijssen-Visser MR, Graveland WJ, Senan S. Tumor location cannot predict the mobility of lung tumors: a 3D analysis of data generated from multiple CT scans. Int J Radiat Oncol Biol Phys 2003;56:348-54. https://doi.org/10.1016/S0360-3016(02)04467-X
  13. Song DY, Kavanagh BD, Benedict SH, Schefter T. Stereotactic body radiation therapy: rationale, techniques, applications, and optimization. Oncology (Williston Park) 2004;18:1419-30.
  14. Bradley JD, Nofal AN, El Naqa IM, et al. Comparison of helical, maximum intensity projection (MIP), and averaged intensity (AI) 40 CT imaging for stereotactic body radiation therapy (SBRT) planning in lung cancer. Radiother Oncol 2006;81:264-8. https://doi.org/10.1016/j.radonc.2006.10.009
  15. Underberg RW, Lagerwaard FJ, Slotman BJ, Cuijpers JP, Senan S. Use of maximum intensity projections (MIP) for target volume generation in 4DCT scans for lung cancer. Int J Radiat Oncol Biol Phys 2005;63:253-60. https://doi.org/10.1016/j.ijrobp.2005.05.045
  16. Jin JY, Ajlouni M, Chen Q, Yin FF, Movsas B. A technique of using gated-CT images to determine internal target volume (ITV) for fractionated stereotactic lung radiotherapy. Radiother OncoI 2006;78:177-84. https://doi.org/10.1016/j.radonc.2005.11.012
  17. Boldea V, Sharp GC, Jiang SB, Sarrut D. 4D-CT lung motion estimation with deformable registration: quantification of motion nonlinearity and hysteresis. Med Phys 2008;35:1008-18. https://doi.org/10.1118/1.2839103
  18. Wolthaus JW, Sonke JJ, van Herk M, et al. Comparison of different strategies to use four-dimensional computed tomography in treatment planning for lung cancer patients. Int J Radiat Oncol Biol Phys 2008;70:1229-38. https://doi.org/10.1016/j.ijrobp.2007.11.042
  19. Hof H, Rhein B, Haering P, Kopp-Schneider A, Debus J, Herfarth K. 4D-CT-based target volume definition in stereotactic radiotherapy of lung tumours: comparison with a conventional technique using individual margins. Radiother Oncol 2009;93:419-23. https://doi.org/10.1016/j.radonc.2009.08.040
  20. Heinzerling JH, Anderson JF, Papiez L, et al. Four-dimensional computed tomography scan analysis of tumor and organ motion at varying levels of abdominal compression during stereotactic treatment of lung and liver. Int J Radiat Oncol Biol Phys 2008;70:1571-8. https://doi.org/10.1016/j.ijrobp.2007.12.023

피인용 문헌

  1. Definitive radiotherapy with concurrent oncothermia for stage IIIB non-small-cell lung cancer: A case report vol.10, pp.2, 2015, https://doi.org/10.3892/etm.2015.2567
  2. Dosimetric effects of roll rotational setup errors on lung stereotactic ablative radiotherapy using volumetric modulated arc therapy. vol.88, pp.1055, 2015, https://doi.org/10.1259/bjr.20140862
  3. Stereotactic body radiation therapy for the treatment of a post-chemotherapy remnant lung mass in extensive-stage small-cell lung cancer: A case report vol.12, pp.2, 2013, https://doi.org/10.3892/etm.2016.3359
  4. Primary lung sarcoma treated with stereotactic ablative radiotherapy: a case report vol.10, pp.None, 2013, https://doi.org/10.2147/ott.s138595
  5. Motion management strategies and technical issues associated with stereotactic body radiotherapy of thoracic and upper abdominal tumors: A review from NRG oncology vol.44, pp.6, 2017, https://doi.org/10.1002/mp.12227
  6. Dosimetric Analysis on the Effect of Target Motion in the Delivery of Conventional IMRT, RapidArc and Tomotherapy vol.28, pp.4, 2013, https://doi.org/10.14316/pmp.2017.28.4.164
  7. A Novel Deep Learning Framework for Internal Gross Target Volume Definition From 4D Computed Tomography of Lung Cancer Patients vol.6, pp.None, 2013, https://doi.org/10.1109/access.2018.2851027
  8. Role of the NRP-1-mediated VEGFR2-independent pathway on radiation sensitivity of non-small cell lung cancer cells vol.144, pp.7, 2013, https://doi.org/10.1007/s00432-018-2667-8
  9. Partial and Full Arc Volumetric Modulated Arc Therapy in Lung Cancer Stereotactic Body Radiotherapy with Different Definitions of Internal Target Volume Based on 4D CT vol.7, pp.4, 2013, https://doi.org/10.4236/ijmpcero.2018.74042
  10. Stereotactic body radiation therapy for pulmonary large cell neuroendocrine carcinoma: a case report vol.12, pp.None, 2019, https://doi.org/10.2147/ott.s189858
  11. Comparison of treatment plans between IMRT with MR-linac and VMAT for lung SABR vol.14, pp.1, 2013, https://doi.org/10.1186/s13014-019-1314-0
  12. Non-coplanar VMAT plans for lung SABR to reduce dose to the heart: a planning study vol.93, pp.1105, 2013, https://doi.org/10.1259/bjr.20190596
  13. Is maximum intensity projection an optimal approach for internal target volume delineation in lung cancer? vol.46, pp.2, 2021, https://doi.org/10.4103/jmp.jmp_65_20