|
 |
|
ORIGINAL ARTICLE |
|
|
|
| Year : 2012 | Volume
: 37
| Issue : 2 | Page : 97-101 |
| |
A case study for online plan adaptation using helical tomotherapy
Christopher E Neilson1, Slav Yartsev2
1 London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada
2 London Regional Cancer Program, London Health Sciences Centre; Deparment of Oncology and Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| Date of Submission | 23-Aug-2011 |
| Date of Decision | 15-Oct-2011 |
| Date of Acceptance | 23-Dec-2011 |
| Date of Web Publication | 7-Apr-2012 |
Correspondence Address:
Slav Yartsev
London Regional Cancer Program, 790 Commissioners Road East, London, Ontario, N6A 4L6.
Canada
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0971-6203.94744
 Abstract | | |
Helical tomotherapy's ability to provide daily megavoltage (MV) computed tomography (CT) images for patient set-up verification allows for the creation of adapted plans. As plans become more complex by introducing sharper dose gradients in an effort to spare healthy tissue, inter-fraction changes of organ position with respect to plan become a limiting factor in the correct dose delivery to the target. Tomotherapy's planned adaptive option provides the possibility to evaluate the dose distribution for each fraction and subsequently adapt the original plan to the current anatomy. In this study, 30 adapted plans were created using new contours based on the daily MVCT studies of a bladder cancer patient with considerable anatomical variations. Dose to the rectum and two planning target volumes (PTVs) were compared between the original plan, the dose that was actually delivered to the patient, and the theoretical dose from the 30 adapted plans. The adaptation simulation displayed a lower dose to 35% and 50% of the rectum compared to no adaptation at all, while maintaining an equivalent dose to the PTVs. Although online adaptation is currently too time-consuming, it has the potential to improve the effectiveness of radiotherapy.
Keywords: Adaptive radiation therapy, bladder cancer, replanning
How to cite this article:
Neilson CE, Yartsev S. A case study for online plan adaptation using helical tomotherapy. J Med Phys 2012;37:97-101 |
| Introduction | |  |
Radiation therapy has proved to be an effective tool in the fight against cancer. Intensity modulated radiation therapy (IMRT) is a technique that delivers high levels of radiation to the tumor and provides sharp dose gradients to spare surrounding healthy tissues. [1] One factor that severely limits IMRT is target position uncertainty. The introduction of image-guided radiotherapy (IGRT) through various on-board imaging devices assists in correcting daily patient set-up and reduces a portion of the uncertainty. [2]
Typically, the irradiated area is larger than gross tumor volume (GTV). A clinical target volume (CTV) is created by adding a margin to account for microscopic extensions. To account for inter- and intra-fraction anatomy changes and organ motion, a planning target volume (PTV) is created that adds a margin to the CTV. One possible method to increase dose to the tumor while decreasing damage to surrounding tissue could be to reduce the PTV margin by creating "adapted" plans [3],[4],[5] that take changes in organ position between fractions into consideration. Alternately, adapted plans can maintain the dose to the target while decreasing the dose to the surrounding healthy tissues. [6]
The most frequent usage of the term adaptive radiation therapy (ART) for cancer patients refers to changing the radiation delivery, taking into account "slow" or systematic variations of patient anatomy (e.g. weight loss, tumor growth or shrinkage, etc.). ART may be further complicated with functional imaging to assess tumor response as the driver for changes. [7],[8] In general, ART is a therapy where information gained during the course of treatment is used to alter treatment.
Currently, such adaptation is performed "offline": the delivery is modified for treatment fractions following the day when the necessity to adapt has been detected. There have been several interesting reviews published on this topic, including those by Wu et al.[9] and Kupelian et al. [10],[11]
Immediate "online" adaptation, when the patient's delivery is modified after imaging but prior to delivery, has an advantage of accounting for both systematic and random anatomy changes. Clearly, it should be performed quickly, and to this end there have been advances in shortening the adaptation time. [12]
Helical tomotherapy's ability to generate megavoltage (MV) computed tomography (CT) images is mainly used to provide proper daily patient positioning. [13],[14] Past studies have shown that although their quality is surpassed by that of kilovoltage (kV) CT images, the MVCT images produced by a helical tomotherapy unit are adequate for image guidance in radiotherapy and can be used reliably for re-contouring. [15],[16] This property makes it possible to create adapted plans that account for changes in anatomy. In our clinic, lung cancer patients sometimes required re-planning due to considerable tumor shrinkage and important weight loss in the neck accompanied by changes in shape and position of organs at risk, which warranted creation of a new plan in the head and neck cancer patients.
There have been various studies done previously on adapting plans for shrinking tumor volume and patient weight loss. [4],[5],[17],[18],[19] In this case study, we are optimizing the plan of a bladder cancer patient on a daily basis using pre-treatment MVCT studies in order to simulate online adaptive planning. This patient caused concern to our radiation therapists due to seemingly large inter-fraction variation in shapes and volumes of the bladder and rectum. While it is not yet feasible to efficiently provide online adaptation clinically, this simple study provides some insight into whether or not adaptation provides substantial benefits.
| Materials and Methods | | |
The patient reported in this study was treated on the Hi-Art helical tomotherapy (TomoTherapy Inc., Madison, WI, USA) unit at our center. This 84-year-old male was diagnosed with high-grade transitional cell carcinoma of the bladder. He received eight weekly cycles of carboplatin chemotherapy at 65 mg/m 2 body surface area: two cycles were delivered prior to the start of radiation therapy and the remaining six cycles were concurrent with radiation treatment. The patient was set up in the supine position for his CT simulation 2 weeks before the start of radiation. The structures for initial treatment planning were contoured by a radiation oncologist using Pinnacle 3 (version 9.0, Philips, Amsterdam, The Netherlands), and included the rectum, penile bulb, right and left femurs, the external contour, and four targets. Two CTVs were delineated: one to receive a total of 60 Gy (CTV 60) and another to receive at least 45 Gy over the course of 30 fractions (CTV 45) as shown in [Figure 1]. The CTV 45 encompassed the bladder with a variable margin, as well as the prostate. The CTV 60 was within the CTV 45, and encapsulated the GTV and possible microscopic extensions throughout the bladder and prostate. Each CTV was expanded by a three-dimensional margin of 10 mm to form the PTV 45 and PTV 60. Tomotherapy treatment planning was completed and verified by delivery quality assurance with the ArcCHECK (Sun Nuclear, Melbourne, FL, USA) 3 days in advance of treatment. | Figure 1: MVCT image from fraction 1 with contours of the CTV 60 (black), CTV 45 (green), and rectum (purple)
Click here to view |
The patient used in this study was selected because considerable changes in the inter-fraction anatomy were observed early in the treatment by MVCT, as demonstrated in [Figure 2]. Much of this was a consequence of inconsistent bladder and rectal filling, as well as gas. Occasionally, the patient's small bowel was found protruding into the CTV 60 at the time of imaging. To remedy this, the patient was instructed to drink water and release gas before being re-imaged 30 minutes later. There were three occurrences where the patient was imaged twice for set-up prior to treatment, and one occurrence where he was imaged three times. | Figure 2: Two images of the same slice from (a) fraction 2 and (b) fraction 3. In (a) the rectum (purple) occupies little area, and the bladder is large and shifted in caudal direction. In (b) the rectum is quite large, while the bladder is smaller and shifted in cranial direction
Click here to view |
The images for this retrospective study were acquired through the daily pre-treatment MVCT scans on our Hi-Art unit. The TomoTherapy Planned Adaptive® software (version 4.0.4) was used to create merged images. As kVCT slices are separated by a distance of 3 mm, the merged images must interpolate between the 6-mm MVCT slices to create 3-mm slices. The merged images replace the segment of the kVCT planning study with the 40-cm field of view of the MVCT study. The original kVCT contours were overlaid on the merged images, and then manually altered to correspond to the daily anatomical changes. Although the boney structures remained the same, the rectum and CTV contours had to be redone for each fraction.
For each fraction, the merged studies and structure set were then exported to Pinnacle 3 , where the PTVs were created by introducing a three-dimensional 10-mm margin to the CTVs because in the current version of tomotherapy it is possible to create only two-dimensional margins to the structures. The finalized structure sets were then exported back to the tomotherapy planning system.
The Planned Adaptive software (TomoTherapy Inc.) was used to calculate the dose distribution that would be produced in the patient on each fraction by using radiation fluence from the original plan and the merged kVCT/MVCT study with its adapted structure contours. Such dose distribution is called verification dose. This procedure allows for the evaluation of the expected dose delivered to the patient with changing anatomy without plan adaptation. The sum of these daily verification doses over the course of 30 fractions gives the total dose to the regions of interest (ROIs).
At this point, new plans were created on TomoTherapy Planning Station (version 4.0.4) using the adapted structure sets and merged studies. The original optimization protocol was used; all constraint parameters were kept the same as those in the initial plan.
The cumulative dose as simulated for using daily adaptation procedure was determined by summing the planned dose for each ROI (divided by the total number of fractions in order to mimic a single fraction delivery with each plan) calculated by every adapted plan. Daily ROI volume variation was also recorded.
| Results | | |
The dose-volume histogram (DVH) data for both the adapted plans and the verification dose calculation procedure applied to plans are shown in [Table 1]. The dose delivered to the ROIs without any adaptation was evaluated through post-treatment verification dose calculation. The dose is higher than both the original planned dose and the predicted dose, with online adaptation in all aspects. The cumulative dose to the rectum produced with daily adaptation afforded a slightly higher D 15 (2.8%) and D 25 (0.9%) than the original plan. The increased D 15 and D 25 display linear relationships (R 2 = 0.76 and R 2 = 0.60, respectively) with the percentage of the rectal volume that overlapped with the PTV 60, as shown in [Figure 3]. The adapted plans displayed an equivalent D 35 to the rectum and lowered the D 50 from the original plan by 2.7%. The D 95 to the PTV 45 and PTV 60 was equivalent in all approaches. | Figure 3: Change in dose to 15% and 25% of the rectum (D15 and D25) as a function of the percentage of the rectal volume that overlapped with the planning target volume receiving 60 Gy (PTV 60)
Click here to view |
 | Table 1: Cumulative doses (Gy) to the rectum and planning target volumes (PTVs) for the original plan, as evaluated for changed anatomy with no plan adaptation, and for the daily adapted plans
Click here to view |
Random anatomy changes continued throughout the complete treatment. The volume of the CTV 45 varied from 234 to 416 cm 3 , with an average of 326 ± 47 (SD) cm 3 . The rectal volume ranged from 147 to 395 cm 3 , averaging 201 ± 55 cm 3 . There was no correlation between the CTV 45 and the volume of rectum on any given day. The volume fluctuations did not improve throughout the duration of treatment. The percentage of the rectum that overlapped with the PTV 60 remained random throughout treatment, as shown in [Figure 4]. | Figure 4: Percent of the rectal volume that overlapped with the planning target volume receiving 60 Gy over the course of treatment
Click here to view |
Daily contouring took approximately 30 minutes per fraction, while the remainder of the re-planning process took approximately 90 minutes. Over the course of 30 fractions, it would be expected to take an extra 60 hours of resources to provide online adaptation with current technology and processes.
| Discussion | | |
In this case study, we assessed the use of helical tomotherapy's MVCT imaging capacity to create daily adaptive plans that would further tailor specific radiation therapy treatments for one individual patient. With the current technology, online adaptation is far too time-consuming to be a realistic option. Often, a single adapted plan can be effective if anatomy is changing at a consistent, predictable rate.
However, daily adaptation to account for anatomy changes may become feasible as technology advances. [10] This study suggests that online adaptation may be beneficial, but it seems that adaptation need not be done at every fraction.
Our goal in the adaptation procedure was to maintain the same dose to the PTV 45 and PTV 60, while sparing the rectum. The evaluation with the Planned Adaptive software used daily images with contours "of the day" and the radiation fluence of the original plan. We have not found any underdose [quantified by the D95 parameter in [Table 1]] of either PTV 45 or PTV 60. This is the result of the volume shrinkage of both targets by 3% for the PTV 60 and by 9% for the PTV 45 on average per fraction, so that the planned radiation fluence could provide the prescribed dose coverage to the PTVs even if they change their positions with respect to the original plan. However, rectal sparing was different as the patient's anatomy no longer matched the plan. This resulted in higher doses to the rectum, as shown in the "No adaptation" column of [Table 1], due to large variations in the rectum position with respect to the PTV 45 and PTV 60. The daily adaptations resulted in very close D 95 values of the PTV 45 for the initial plan and a summation of adapted plans because the normalization at D 95 for the prescription dose was used both for the initial plan and each adapted plan. Adaptation improved upon some aspects, displaying a lower D 35 and D 50 for the rectum. The increases of D 15 and D 25 from the original plan were unavoidable with the given anatomy changes. We found no correlation between the CTV 45 and the volume of rectum on any given day. The higher dose proved to be a direct result of a larger portion of the rectum overlapping with the high dose region of the PTV 60 as shown in [Figure 3]. The rectum overlap data with the PTV 60 [Figure 4] have a large spread, but a distinct, negatively sloped trend because usually, as the treatment progresses, the patients have a mild diarrhea that effectively decreases the rectal volume and its overlap with the PTV. A large PTV margin (10 mm) combined with high mobility of the rectum leads to increased irradiation of healthy organs in radiotherapy for bladder cancer. [19]
All organs at risk in our study were within generally accepted tolerance levels. While there may not be a considerable benefit to the patient in this case, the same cannot be said for all circumstances. In the treatment of this particular patient, DVH parameters in the initial plan for the rectum were well below Radiation Therapy Oncology Group (RTOG) tolerance levels, while in other cases (where sparing of sensitive organs is very close to tolerance levels) the adaptation procedure may be crucially important. Daily adaptation may be more relevant for patients with plans that include sharper dose gradients, often seen with tumors located in the head and neck [20],[21] or spinal areas. With these cases, a slight anatomy change left unaccounted for could prove critical to the surrounding healthy tissue. Our group is continuing this work on a larger patient base so that the study becomes more comprehensive.
There are tangible benefits to online adaptation, although such adaptation is currently too time-consuming to be practical. Until the planning process is shortened to a more reasonable time, a possible intermediate step could be adapting plans for the first few fractions where the patient's anatomy is considerably different. [4] As treatment progresses, therapists could use whichever plan best fits the patient for that day. [22]
| Conclusions | | |
We explored the potential benefits of daily "online" plan adaptation using the MVCT capability of helical tomotherapy on a bladder patient. While the dose to the rectum and targets was acceptable in all cases, online adaptation managed to provide a lower dose to healthy tissue than no adaptive planning at all, while maintaining the correct dose to the targets. Further study is required on a larger patient database in order to develop recommendations on the type of patient-specific parameters or some combinations of parameters that can serve as a robust indication for plan adaptation. Currently, online plan adaptation with IGRT is too time-consuming to be done on a clinical basis. However, with the constant increase in speed and processing power of technology, it is likely that it will one day become a reality.
| References | | |
| 1. | Mundt AJ, Roeske JC. Intensity Modulated Radiation Therapy: A Clinical Perspective. Hamilton: BC Decker; 2005 
|
| 2. | Verellen D, De Ridder M, Linthout N, Tournel K, Soete G, Storme G. Innovations in image-guided radiotherapy. Nature 2007;7:949-60.
|
| 3. | Renaud J, Yartsev S, Dar RA, Van Dyk J. Adaptive radiation therapy for localized mesothelioma with mediastinal metastasis using helical tomotherapy. Med Dosim 2009;34:233-42.
|
| 4. | Woodford C, Yartsev S, Dar RA, Bauman G, Van Dyk J. Adaptive radiotherapy planning on decreasing gross tumor volumes as seen on megavoltage computed tomography images. Int J Radiat Oncol Biol Phys 2007;69:1316-22.
|
| 5. | Ramsey CR, Langen KM, Kupelian PA, Scaperoth DD, Meeks SL, Mahan SL, et al. A technique for adaptive image-guided helical tomotherapy for lung cancer. Int J Radiat Oncol Biol Phys 2006;64:1237-44.
[PUBMED] [FULLTEXT] |
| 6. | Yan D, Vicini F, Wong J, Martinez A. Adaptive radiation therapy. Phys Med Biol 1997;42:123-32.
[PUBMED] [FULLTEXT] |
| 7. | Arens AI, Troost EG, Schinagl D, Kaanders JH, Oyen WJ. FDG-PET/CT in radiation treatment planning of head and neck squamous cell carcinoma. Q J Nucl Med Mol Imaging 2011;55:521-8.
[PUBMED] [FULLTEXT] |
| 8. | Edet-Sanson A, Dubray B, Doyeux K, Back A, Hapdey S, Modzelewski R, et al. Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC). Radiother Oncol 2011 Aug 30. [Epub ahead of print].
|
| 9. | Wu QJ, Li T, Yin FF. Adaptive radiation therapy: Technical components and clinical applications. Cancer J 2011;17:182-9.
[PUBMED] [FULLTEXT] |
| 10. | Kupelian P, Langen K. Helical tomotherapy: Image-guided and adaptive radiotherapy. Front Radiat Ther Oncol 2011;43:165-80.
[PUBMED] [FULLTEXT] |
| 11. | Kupelian P, Meyer JL. Image-guided, adaptive radiotherapy of prostate cancer: Toward new standards of radiotherapy practice. Front Radiat Ther Oncol 2011;43:344-68.
[PUBMED] [FULLTEXT] |
| 12. | Ahunbay EE, Peng C, Chen GP, Narayanan S, Yu C, Lawton C, Li XA. An on-line replanning scheme for interfractional variations. Med Phys 2008;35:3607-15.
[PUBMED] |
| 13. | Bauman G, Yartsev S, Rodrigues G, Lewis C, Venkatesan VM, Yu E, et al. A prospective evaluation of helical tomotherapy. Int J Radiat Oncol Biol Phys 2007;68:632-41.
[PUBMED] [FULLTEXT] |
| 14. | Forrest LJ, Mackie TR, Ruchala K, Turek M, Kapatoes J, Jaradat H, et al. The utility of megavoltage computed tomography images from a helical tomotherapy system for setup verification purposes. Int J Radiat Oncol Biol Phys 2004;60:1639-44.
[PUBMED] [FULLTEXT] |
| 15. | Yadav P, Tolakanahalli R, Rong Y, Paliwal BR. The effect and stability of MVCT images on adaptive TomoTherapy. J Appl Clin Med Phys 2010;11:4-14.
|
| 16. | Meeks SL, Harmon JF, Langen KM, Willoughby TR, Wagner TH, Kupelian PA. Performance characterization of megavoltage computed tomography imaging on a helical tomotherapy unit. Med Phys 2005;32:2673-81.
|
| 17. | Wu Q, Chi Y, Chen PY, Krauss DJ, Yan D, Martinez A. Adaptive replanning strategies accounting for shrinkage in head and neck IMRT. Int J Radiat Oncol Biol Phys 2009;75:924-32.
[PUBMED] [FULLTEXT] |
| 18. | Hansen EK, Bucci MK, Quivey JM, Weinberg V, Xia P. Repeat CT imaging and replanning during the course of IMRT for head-and-neck cancer. Int J Radiat Oncol Biol Phys 2006;64:355-62.
[PUBMED] [FULLTEXT] |
| 19. | Tolan S, Kong V, Rosewall T, Craig T, Bristow R, Milosevic M, et al. Patient-specific PTV margins in radiotherapy for bladder cancer - A feasibility study using cone beam CT. Radiother Oncol 2011;99:131-6.
[PUBMED] [FULLTEXT] |
| 20. | Ahn PH, Chen CC, Ahn AI, Hong L, Scripes PG, Shen J, et al. Adaptive planning in intensity-modulated radiation therapy for head and neck cancers: Single-institution experience and clinical implications. Int J Radiat Oncol Biol Phys 2011;80:677-85.
[PUBMED] [FULLTEXT] |
| 21. | Castadot P, Geets X, Lee JA, Grégoire V. Adaptive functional image-guided IMRT in pharyngo-laryngeal squamous cell carcinoma: Is the gain in dose distribution worth the effort? Radiother Oncol 2011;101:343-50.
|
| 22. | Li T, Thongphiew D, Zhu X, Lee WR, Vujaskovic Z, Yin FF, et al. Adaptive prostate IGRT combining online re-optimization and re-positioning: A feasibility study. Phys Med Biol 2011;56:1243-58.
[PUBMED] [FULLTEXT] |
[Figure 1], [Figure 2], [Figure 3], [Figure 4]
[Table 1]
|
