Skip to main content
Journal of Thoracic Disease logoLink to Journal of Thoracic Disease
editorial
. 2012 Apr 1;4(2):106–108. doi: 10.3978/j.issn.2072-1439.2012.03.07

Imaging for high-precision thoracic radiotherapy

Sashendra Senthi 1, Suresh Senan 1,
PMCID: PMC3378236  PMID: 22833813

graphic file with name jtd-04-02-106-f1.jpg

Suresh Senan

The motion of intra-thoracic tumors and radiosensitive normal organs is an important consideration when planning curative radiotherapy. An individualized assessment of such motion is preferable over the use of standard 'planning margins', which may be based upon tumor location or patient characteristics (1-3). This is primarily because many tumors move less than 1 cm in any direction (3), thereby requiring smaller treatment fields. In addition, lung tumors may exhibit complex motions patterns, including hysteresis and be influenced by cardiac motion (4). Furthermore, patients with locally advanced lung cancer may exhibit motion in metastatic mediastinal nodes that exceeds that of the primary tumor or move maximally in a different phase (2,5). Identifying such variations in tumor motion can minimize the risk of compromising the effectiveness of radiotherapy delivery. Based on these studies, the European Organization for Research and Treatment of Cancer guidelines recommend use of respiration-correlated CT or 4-Dimensional CT (4DCT) scans for planning (6).

As 4DCT allows for the motion trajectory of a tumor to be imaged, it reduces the risk of introducing systematic errors into radiotherapy planning (7). Individualized 4DCT planning is particularly important for planning high-precision SABR in early-stage NSCLC (8). The widespread implementation of SABR in the Netherlands was accompanied by quality assurance programs for 4DCT imaging (9), and attention to such detail may have contributed to the remarkable survival improvements observed in the entire Netherlands population for Stage I lung cancer patients aged 75 years and older, who were diagnosed between 2001 and 2009 (10). The two-year survival in elderly Dutch patients undergoing radiotherapy improved from 35.8% to 52.5%, and median survival increased from 16.4 to 24.4 months.

Although multi-slice 4DCT scanners have been commercially available since 2003, this facility is not universally available and clinicians have had to explore alternative approaches. In this issue, Shen et al. describe an approach utilizing breath-hold CT scans at the ends of coached 'regular and quiet respiration' (11).

Although this approach captures more motion than a single conventional CT acquired at a random phase of respiration, some key drawbacks must be kept in mind. Firstly, patients who present for SABR are frequently unfit for surgery due to compromised pulmonary function (12). The ability of all such patients to perform a breath-hold procedure reproducibly is questionable. Furthermore, previous work has shown that audio-coaching can both increase the amplitude of tumor motion, as well as displace tumors (13). Therefore, the same audio-coaching must be performed during the delivery of SABR, where this may lead to longer treatment times. An alternative low-technology approach for acquiring 4D information is slow CT scanning, which uses a slow gantry rotation to acquire images of tumor position taken at different points in the respiratory cycle (14). Dutch SABR recommendations suggest that if only 3DCT scans are available, the internal target volume for planning should be based either on multiple slow CT-scans covering the full tumour trajectory, or adding an additional 3-5 mm margin in all directions to the CTV determined on a single slow CT-scan (15). An alternative recommendation was to acquire a minimum of 3 conventional rapid planning scans over the entire tumor trajectory. FDG-PET scans have also been proposed for this purpose (16), although it is unclear if clinical outcomes using FDG-PET scans alone (without 4DCT) will produce acceptable local control rates. Additionally, the loss of contrast resolution has lead to uncertainties regarding the optimal use of FDG-PET for this purpose (17). Fluoroscopy in addition to a conventional CT scan has also been shown to be suboptimal for SABR (18).

Although some studies suggest that a single 4DCT scan acquired during quiet, uncoached respiration generates reproducible internal target volumes (18-20), artifacts on 4DCT have been reported in a significant proportion of such imaging studies (21). The latter highlights the need for careful review of images at the time of acquisition to ensure that the tumor region is free of artifacts.

After tumor motion has been defined, the planning target volume derived may be based on a motion-encompassing internal target volume that can be derived from the union of separate volumes in each phase of a 4DCT, or alternatively, from contouring on a maximum intensity projection of the 4DCT dataset (15,22). Dutch guidelines also accept use of an alternative to the internal target volumes concept, which is based on time-averaged mean positions of the tumor. Finally, changes in anatomy and breathing pattern between 4DCT and treatment, as well as between SABR fractions, can result in the internal target volume used for planning not being appropriate during treatment delivery (23). Therefore, even the use 4DCT to derive personalized margins to account for tumor motion alone may not be sufficient to ensure optimal cure rates. Daily image guidance strategies to visualize treatment targets are important during SABR to ensure that these individualized, reduced margins provide adequate coverage (24).

Footnotes

No potential conflict of interest.

References

  • 1.van Sörnsen 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;56:348-354 [DOI] [PubMed] [Google Scholar]
  • 2.Pantarotto JR, Piet AH, Vincent A, van Sörnsen de Koste JR, Senan S. Motion analysis of 100 mediastinal lymph nodes: potential pitfalls in treatment planning and adaptive strategies. Int J Radiat Oncol Biol Phys. 2009;74:1092-1099 [DOI] [PubMed] [Google Scholar]
  • 3.Liu HH, Balter P, Tutt T, et al. Assessing respiration-induced tumor motion and internal target volume using four-dimensional computed tomography for radiotherapy of lung cancer. Int J Radiat Oncol Biol Phys. 2007;68:531-540 [DOI] [PubMed] [Google Scholar]
  • 4.Seppenwoolde Y, Shirato H, Kitamura K, et al. Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys. 2002;53:822-834 [DOI] [PubMed] [Google Scholar]
  • 5.Donnelly ED, Parikh PJ, Lu W, et al. Assessment of intrafraction mediastinal and hilar lymph node movement and comparison to lung tumor motion using four-dimensional CT. Int J Radiat Oncol Biol Phys. 2007;69:580-588 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.De Ruysscher D, Faivre-Finn C, Nestle U, et al. European Organisation for Research and Treatment of Cancer recommendations for planning and delivery of high-dose, high-precision radiotherapy for lung cancer. J Clin Oncol. 2010;28:5301-5310 [DOI] [PubMed] [Google Scholar]
  • 7.Slotman BJ, Lagerwaard FJ, Senan S. 4D imaging for target definition in stereotactic radiotherapy for lung cancer. Acta Oncol. 2006;45:966-972 [DOI] [PubMed] [Google Scholar]
  • 8.Underberg RW, Lagerwaard FJ, Cuijpers JP, Slotman BJ, van Sörnsen 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;60:1283-1290 [DOI] [PubMed] [Google Scholar]
  • 9.Hurkmans CW, van Lieshout M, Schuring D, et al. Quality assurance of 4D-CT scan techniques in multicenter phase III trial of surgery versus stereotactic radiotherapy (radiosurgery or surgery for operable early stage (stage 1A) non-small-cell lung cancer [ROSEL] study). Int J Radiat Oncol Biol Phys. 2011;80:918-927 [DOI] [PubMed] [Google Scholar]
  • 10.Haasbeek CJ, Palma D, Visser O, Lagerwaard FJ, Slotman BJ, Senan S. Survival Improvements in Elderly Patients presenting with Early Stage Lung Cancer in the Netherlands between 2001 and 2009. Ann Oncol. 2012. Epub ahead of print In press. [DOI] [PubMed] [Google Scholar]
  • 11.Shen G, Wang YJ, Sheng HG, et al. Double CT imaging can measure the respiratory movement of small pulmonary tumors during stereotactic ablative radiotherapy. J Thorac Dis. 2012;4:131-140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Haasbeek CJ, Lagerwaard FJ, Antonisse ME, Slotman BJ, Senan S. Stage I nonsmall cell lung cancer in patients aged > or=75 years: outcomes after stereotactic radiotherapy. Cancer. 2010;116:406-414 [DOI] [PubMed] [Google Scholar]
  • 13.Haasbeek CJ, Spoelstra FO, Lagerwaard FJ, et al. Impact of audio-coaching on the position of lung tumors. Int J Radiat Oncol Biol Phys. 2008;71:1118-1123 [DOI] [PubMed] [Google Scholar]
  • 14.Lagerwaard FJ, Van Sornsen de Koste JR, Nijssen-Visser MR, et al. Multiple "slow" CT scans for incorporating lung tumor mobility in radiotherapy planning. Int J Radiat Oncol Biol Phys. 2001;51:932-937 [DOI] [PubMed] [Google Scholar]
  • 15.Hurkmans CW, Cuijpers JP, Lagerwaard FJ, et al. Recommendations for implementing stereotactic radiotherapy in peripheral stage IA non-small cell lung cancer: report from the Quality Assurance Working Party of the randomised phase III ROSEL study. Radiat Oncol. 2009;4:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Caldwell CB, Mah K, Skinner M, Danjoux CE. Can PET provide the 3D extent of tumor motion for individualized internal target volumes? A phantom study of the limitations of CT and the promise of PET. Int J Radiat Oncol Biol Phys. 2003;55:1381-1393 [DOI] [PubMed] [Google Scholar]
  • 17.Werner-Wasik M, Nelson AD, Choi W, et al. What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom. Int J Radiat Oncol Biol Phys. 2012;82:1164-1171 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.van der Geld YG, Senan S, van Sörnsen de Koste JR, et al. Evaluating mobility for radiotherapy planning of lung tumors: a comparison of virtual fluoroscopy and 4DCT. Lung Cancer. 2006;53:31-37 [DOI] [PubMed] [Google Scholar]
  • 19.Haasbeek CJ, Lagerwaard FJ, Cuijpers JP, Slotman BJ, Senan S. Is adaptive treatment planning required for stereotactic radiotherapy of stage I non-small-cell lung cancer? Int J Radiat Oncol Biol Phys. 2007;67:1370-1374 [DOI] [PubMed] [Google Scholar]
  • 20.Guckenberger M, Wilbert J, Meyer J, Baier K, Richter A, Flentje M. Is a single respiratory correlated 4D-CT study sufficient for evaluation of breathing motion? Int J Radiat Oncol Biol Phys. 2007;67:1352-1359 [DOI] [PubMed] [Google Scholar]
  • 21.Yamamoto T, Langner U, Loo BW, Jr, Shen J, Keall PJ. Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients. Int J Radiat Oncol Biol Phys. 2008;72:1250-1258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.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;63:253-260 [DOI] [PubMed] [Google Scholar]
  • 23.Purdie TG, Bissonnette JP, Franks K, et al. 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. 2007;68:243-252 [DOI] [PubMed] [Google Scholar]
  • 24.Bissonnette JP, Purdie TG, Higgins JA, Li W, Bezjak A. Cone-beam computed tomographic image guidance for lung cancer radiation therapy. Int J Radiat Oncol Biol Phys. 2009;73:927-934 [DOI] [PubMed] [Google Scholar]

Articles from Journal of Thoracic Disease are provided here courtesy of AME Publications

RESOURCES