Journal of Medical Physics
 Home | Search | Ahead of print | Current Issue | Archives | Instructions | Subscription | Login  The official journal of Association of Medical Physicists of India      
 Users online: 86  Home  EMail this page Print this page Decrease font size Default font size Increase font size 


 
 Table of Contents    
TECHNICAL NOTE
Year : 2017  |  Volume : 42  |  Issue : 3  |  Page : 163-170
 

A feasibility study on the use of tomotherapy megavoltage computed tomography images for palliative patient treatment planning


1 Radiation Oncology Centres, Gosford, NSW, Australia
2 Radiation Oncology Centres, Wahroonga, NSW, Australia
3 Radiation Oncology Centres, Gosford; Radiation Oncology Centres, Wahroonga, NSW, Australia

Date of Submission01-Mar-2017
Date of Decision12-Jun-2017
Date of Acceptance14-Jun-2017
Date of Web Publication13-Sep-2017

Correspondence Address:
Yunfei Hu
ROC Gosford, 41 William St., Gosford 2250, NSW
Australia
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jmp.JMP_32_17

Rights and Permissions

 

   Abstract 


Dedicated rapid access palliative radiation therapy improves patients' access to care, allowing more timely treatment which would positively impact on quality of life. The TomoTherapy (Accuray, Sunnyvale, CA) system provides megavoltage (MV) fan-beam computed tomography (FBCT) as the image guidance technique, and a module called “statRT” that allows the use of these MV FBCT images for direct planning. The possibility of using this imaging modality for palliative radiotherapy treatment planning is assessed against accepted planning CT standards by performing tests following AAPM TG 66 and an end-to-end measurement. Results have shown that MV FBCT images acquired by TomoTherapy are of sufficient quality for the purpose of target delineation and dose calculation for palliative treatments. Large image noise and extended scan acquisition time are the two main drawbacks, so this imaging modality should only be used for palliative treatments at areas with well-known, easily distinguishable, and relatively immobile targets such as spine and whole brain.


Keywords: Imaging, megavoltage computed tomography, palliative radiotherapy, TomoTherapy


How to cite this article:
Hu Y, Byrne M, Archibald-Heeren B, Squires M, Teh A, Seiffert K, Cheers S, Wang Y. A feasibility study on the use of tomotherapy megavoltage computed tomography images for palliative patient treatment planning. J Med Phys 2017;42:163-70

How to cite this URL:
Hu Y, Byrne M, Archibald-Heeren B, Squires M, Teh A, Seiffert K, Cheers S, Wang Y. A feasibility study on the use of tomotherapy megavoltage computed tomography images for palliative patient treatment planning. J Med Phys [serial online] 2017 [cited 2019 Apr 25];42:163-70. Available from: http://www.jmp.org.in/text.asp?2017/42/3/163/214494





   Introduction Top


Most cancer patients will require radiation therapy at some stage during their disease. Among all radiation treatments, 30%–50% of treatments are palliative.[1],[2] For palliative treatments, radiation therapy is a locally effective tool, with little to no systemic side effects and mostly mild acute side effects. Furthermore, radiotherapy is important for oncological emergency procedures, such as treatment of obstructions, tumor bleeding, and spinal cord compression.[1] Dedicated rapid access palliative radiation therapy improves patients' access to care and quality of life.[3]

TomoTherapy is a ring gantry-based radiotherapy treatment system that is also capable of producing high-quality megavoltage fan-beam computed tomography (MV FBCT) images for setup verification. TomoTherapy have created a module called “statRT (Accuray, Sunnyvale, CA)” that allows these MV CT images to be used for treatment planning. This module has the benefit of allowing simulation, treatment planning, and treatment to be carried out in a single-visit taking <1 h in total,[4] which in turn minimizes the time to treatment and movement required by patients, which is particularly beneficial for urgent palliative patients who are typically in considerable pain. In fact if patient-specific quality assurance (QA) is performed using calculation based methods, and sufficient time is available on the machine, the simulation, and treatment can actually be performed in a single setup rather than move the patient off the bed for the time required for planning [4] and later put him/her back on the bed. Thus far, research has focused on whether the statRT functionality gives comparable plans to the conventional planning method.[4],[5],[6] However, relatively little research has systematically verified the image quality of MV CT images against accepted planning CT standards (AAPM TG 66),[7] particularly since the significant changes to the image reconstruction algorithm introduced in the TomoTherapy HDA system (H series v2.0, Accuray, Sunnyvale, CA).

The MV CT on TomoTherapy is a spiral CT using 3.5 MV X-rays from the therapeutic linear accelerator and detected with a xenon gas ion chamber array. The MV CT uses a 512 × 512 matrix in a field of view (FOV) of 40 cm resulting in a pixel resolution of 0.78 mm. Fine, normal or coarse slice thicknesses can be selected, which correspond to a couch travel speed of 4, 8, and 12 mm per rotation during imaging.[8] Depending on the selected slice thickness, a reconstruction interval of 1 or 2 mm for fine slices, 2 or 4 mm for normal slices, or 3 or 6 mm for coarse slices can be selected. Time required for one rotation during the CT scan is 10 s.[9] Compared to MV cone beam CT (MV CBCT), MV FBCT uses a thin fan-beam instead of a wide cone beam and acquires images slice by slice. It provides the advantage that scattered X-rays do not contribute as significantly as in MV CBCT and thus results in better image quality.[10]

It has been reported that there is a linear relationship between MV FBCT Hounsfield Unit (HU) and the electron density (ED) of materials imaged on TomoTherapy and that the MV CT HU are quite stable, such that the dosimetric end-points vary by <2.0% with various MV CT acquisition parameters.[11],[12] The typical imaging dose to patient per acquisition is about 1–2 cGy when a normal pitch with a 2 mm reconstruction interval is selected.[13] Some clinics use TomoTherapy MV CT directly for planning when high-atomic number materials, such as dental fillings or bilateral hip replacement are in the proximity of the PTV which can cause severe imaging artifacts in kV CT scans.[9],[10]

The aim of this study is to assess the quality of the MV CT images provided by TomoTherapy against accepted planning CT standards to see if MV CT can be used directly for planning with the statRT module, so that radiotherapy patients' simulation, planning, and first-day treatment can be completed all in one visit on the TomoTherapy Unit, allowing the patients to have accurate, and yet rapid-access palliative radiotherapy treatment to improve their quality of life.


   Materials and Methods Top


A well-established CT simulation process should be able to provide spatial information for patient positioning and immobilization as well as anatomical information for contouring and dose calculation. If TomoTherapy MV FBCT was to be used for dose calculation, then it can be argued that the same scope of QA tests that apply to a kV CT scanner should be applied to TomoTherapy. AAPM TG 66[7] has a recommended list for CT QA. As for TomoTherapy, the imaging system and the treatment delivery system share the same gantry and laser systems. Some of the listed check items are already included in the linear accelerator's regular QA programs, such as QA on couch motion and gantry rotation. Apart from these tests, the following QA measures were added to test TomoTherapy's capacity for radiation therapy planning. Those QA tests were also repeated on the kV CT scanner currently used for clinical planning to provide a reference for comparison.

In this study, all kV CT scans were acquired on a GE Discovery PET-CT scanner (GE Healthcare, Little Chalfont, United Kingdom) with 120 kV X-ray at 440 mA and a reconstruction interval of 2.5 mm at a large FOV. All MV CT scans were acquired on TomoTherapy HDA v2.0 with 3.5 MV X-ray and normal slice thickness and a reconstruction interval of 2.0 mm at an FOV of 40 cm.

Alignment of wall lasers with respect to the imaging plane

TomoTherapy does not have a gantry laser system and only uses a wall-mounted laser system. Its alignment and orientation with respect to the imaging plane must be checked. In this test, the TomoTherapy phantom, or “cheese” phantom, was used. The geometric center of the phantom was aligned to the lasers and then scanned using the MV CT system. The position of the scanned center of the phantom was then compared to the imaging center as indicated by the software to ensure laser-imaging coincidence.

Geometric accuracy

The geometric accuracy of the system was tested by checking the distance between two known points on a phantom. In this test, the CATPHAN 500 imaging phantom (The Phantom Laboratory, Greenwich, New York, USA), whose three dimensions were physically measured, was used. The phantom was scanned on both kV CT and MV CT, with the three dimensions of the scanned phantom measured and compared to the physically measured values. The difference was expected to be within 1.0 mm.[14]

Field uniformity and image noise

The field uniformity and image noise were assessed by measuring the CT numbers of a region of homogenous material using the uniformity section of the CATPHAN. The imaging uniformity section in CATPHAN was cast from a uniform material. The material's CT number was designed to be within 2% of water density at standard scanning protocols. After the phantom was scanned, a cylindrical structure of 5 cm radius and 2 cm length was created at the center of the uniformity module, whose average, minimum, and maximum HU values were then provided by the radiotherapy planning system (RTPS). Using the range rule of thumb, the standard deviation (SD) of the structure can then be estimated from the minimum and the maximum HU as:

SD ≈ (Maximum – Minimum)/4

The average and the SD HU were then used to assess the field uniformity and the noise of both systems. The SD was estimated because it was not given by the RTPS and would take the authors too long to manually collect enough sample data to calculate it.

Spatial resolution

The spatial resolution of both imaging systems was assessed using the image resolution section in CATPHAN. This section of the CATPHAN contained a 1 through 21 line-pair per centimeter high-resolution test gauge and two impulse sources which were cast into a uniform material. The number of visible pairs of lines was recorded for each imaging system to compare the resolution.

Electron/mass density to computed tomography number conversion and computed tomography number constancy

TomoTherapy treatment planning system (TPS) converts CT number to mass density (MD) to calculate dose. A CT-ED phantom with density plugs of known physical densities was used to generate CT-MD tables for both systems. The resultant CT-MD curves for both imaging systems were compared to see if a linear relationship can be established between the CT number (in HU) and the MD (g/cm 3) for dose calculation.

After the calibration curves were established, to ensure that the CT-MD calibration stayed valid for dose calculations, a simplified QA program, utilizing the TomoTherapy phantom, or the “cheese” phantom, was implemented. The cheese phantom, with a lung and a bone insert replacing the water inserts, was scanned on a regular basis. After scanning, the density of the lung, bone, and water inserts was recorded in the planning system and compared to the baseline data, whose difference was expected to be within 2.0%. The results for this constancy check would not be listed in this study.

End-to-end measurement and calculation constancy

An end-to-end measurement provides a direct method to quantify the potential errors in the procedure. The end-to-end measurement should be designed such that it simulates real treatment. For this reason, the authors performed end-to-end tests in the Computerized Imaging Reference Systems (CIRS) upper thorax phantom, as it provides multiple measurement positions and areas of inhomogeneity. A calibrated farmer chamber was used for chamber measurement.

The CIRS thorax phantom was established according to the same setup used for Australian Clinical Dosimetry Service level III audits [15] as shown in [Figure 1] and [Figure 2]. The CIRS phantom was scanned both with the kV CT and the MV CT and saved as different QA phantoms in the TomoTherapy planning system for future calculations.
Figure 1: CIRS thorax phantom setup on TomoTherapy for megavoltage computed tomography scan

Click here to view
Figure 2: A computed tomography slice of the CIRS upper thorax phantom used in the end to end measurements. The numbers correspond to the measurement positions in the phantom

Click here to view


Araki reported that when a thin-walled cylindrical chamber was used for measurements in a heterogeneous phantom that includes solid water, lung, and bone plastic materials, for a 6 MV photon beam on a conventional linear accelerator, the perturbation factor introduced by the chamber due to the replacement of the air cavity, nonwater equivalence of the chamber wall, and the stem and nonair equivalence of the central electrode could be up to 2% and 3.5% for lung and bone, respectively, depending on the field size.[16] This effect can be more significant for TomoTherapy because of the lack of electron equilibrium from the small segmented fields in TomoTherapy helical delivery mode. As a result, to reduce the chamber perturbation in the bone measurements, a water insert with chamber cavity was inserted in the bone cavity instead of the bone insert both in the measurement and in the TPS calculation. This is the same method applied in ARPANSA level III audits.[15]

A total of three complex TomoTherapy helical plans were chosen whose 50% isodose distributions covered several chamber cavities so that multiple measurements at different points were possible. These plans were copied and recalculated on both the MV CT and the kV CT scanned CIRS phantom. Although scanned by different CT modalities, the exact same isocenter position was used when recalculating the plan.

As is shown in [Figure 2], 10 measurement points were available in the phantom. Points 1–5 sit in a homogeneous water density. Points 6–9 sit in a homogeneous lung density. Point 10 sits in a water density but is surrounded by a bone ring representing spine. Due to its large cavity, the farmer chamber was deemed unsuitable for measurement at areas with high-dose gradient. For this reason, with each plan, only some points were chosen as chamber measurement points depending on where the dose distribution was relatively homogeneous.

The reading was converted to dose after corrections were applied. This dose reading was then compared to the predicted point doses calculated on the kV CT and the MV CT phantom.

As a routine check of the dose calculation constancy, a plan was recalculated on an MV CT utilizing the adaptive planning module provided by TomoTherapy. The cheese phantom was scanned on the MV CT, and a predesigned QA plan was then recomputed on the MV scan in the adaptive module, whose resultant dose distributions were compared to the original plan computed on the same phantom scanned by the kV CT. The difference was expected to be within 2.0%. This test was relatively simple and provided neither inhomogeneity calculations nor direct detector measurement, but was efficient in quickly checking the dose calculation constancy of the MV CT. Its results were not listed in this study.


   Results Top


Alignment of wall lasers with respect to the imaging plane

[Table 1] lists the results of this part of the test.
Table 1: Laser alignment test results

Click here to view


Geometric accuracy

[Table 2] lists the results of this part of the test.
Table 2: Geometric accuracy test results

Click here to view


Field uniformity and image noise

[Table 3] lists the result for this part of the test.
Table 3: Field uniformity and image noise test results

Click here to view


[Figure 3] and [Figure 4] show the screen capture of the CATPHAN uniformity section from both imaging systems.
Figure 3: kV computed tomography uniformity scan results

Click here to view
Figure 4: Megavoltage computed tomography uniformity scan results

Click here to view


Spatial resolution

[Table 4] lists the result for this part of the test.
Table 4: Spatial resolution test results

Click here to view


[Figure 5] and [Figure 6] show the screen capture of the CATPHAN image resolution section from both imaging systems.
Figure 5: kV computed tomography image resolution scan results

Click here to view
Figure 6: Megavoltage computed tomography image resolution scan results

Click here to view


Electron/mass density to CT number conversion

[Table 5] shows the results of CT-MD tables generated from the CT-ED phantom for kV CT and MV CT.
Table 5: Mass density to computed tomography number conversion results

Click here to view


[Figure 7] shows the CT-MD curve for both imaging systems.
Figure 7: Computed tomography-mass density curves for GE kV computed tomography and TomoTherapy megavoltage computed tomography. At areas beyond water (mass density >1.0 g/cm3) megavoltage computed tomography showed a much sharper curve

Click here to view


End-to-end measurements

[Table 6] lists the results for the end-to-end measurements.
Table 6: End-to-end point dose measurement results

Click here to view



   Discussions Top


Alignment of wall lasers with respect to the imaging plane

From [Table 1], it is noted that TomoTherapy's laser system aligns well with the MV CT imaging system to within 1.0 mm. As such the laser system can be used as guidance for patient positioning during the initial image acquisition. This alignment is checked on a regular basis.

Geometric accuracy

From [Table 2], it is noted that the detected dimensions from both imaging systems are within 1.0 mm of the physical dimensions. It indicated that geometric dimensions can be determined accurately from both imaging systems. The difference from the MV CT system was slightly higher but was of no statistical significance given the image pixel size, as the P value, when calculated by the N-1 Chi-square test,[17] is more than 0.05 (0.0586). No obvious geometric distortions were observed from both image sets.

Field uniformity and image noise

From the result in this section, it is noted that the average MD read from the kV CT was 1.007 g/cm 3, and from MV CT was 0.995 g/cm 3, converted from the average CT number calculated by the RTPS using the CT-MD table established in the MD to CT number conversion test. Both results were within ±1.0% of the expected MD of water (1.0 g.cm 3). However, from the SD values as well as screen captures from [Figure 4] and [Figure 5], it was noted that MV CT has a much larger noise compared to kV CT. MV CT tends to have a worse signal-to-noise ratio compared to kV CT for two main reasons:

  1. In the MV CT range where Compton scattering dominates, most of the scattered photons produced travel forward at a small angle deviation from the incident photon and will likely be absorbed by the detector as noise. In contrast in kV CT range where the photoelectric effect is dominant, the photons are fully absorbed, and the ejected electrons are usually emitted at 90° to the incident photon and thus ignored by the detector;[18] and
  2. The absorbed dose per photon emitted is much higher for MV than for kV and therefore to limit the imaging dose fewer photons are used in MV FBCT [14] compared to kV CT.


Large image noise could make both automatic and manual anatomy delineation difficult. Intra-imaging motion from the patient would further increase the noise level.

Spatial resolution

From the results in this section, it is noted that the image resolution provided by MV CT is poorer compared to that from a conventional CT scanner. The poor spatial resolution alone would not reduce accuracy in dose calculation, but it would introduce difficulties in the delineation of targets and critical structures. As nowadays volume-based optimization is widely used in many commercial radiation planning systems such as the TomoTherapy planning station, accurate identification, and delineation of both the targets and the organs-at-risk are critical for optimal plan outcome. They are also important in the evaluation of the plan quality. The poor spatial resolution would consequently be likely to downgrade the plan accuracy and the plan quality, especially for those plans that use volume-based optimization.

Electron/mass density to computed tomography number conversion

From [Figure 8], it was noted that for both kV CT and MV CT, the relationship between CT number and MD is linear, making it possible to establish a CT-MD curve for both scans to achieve dose calculation. Both curves are similar for materials with density equal to or lower than water (1.0 g/cm 3), but for materials with density higher than water, the difference between the curves is significant. Compared to kV CT, the part of the curve beyond water density from MV CT is sharper. This indicates that the MV CTs would have a poorer contrast compared to kV CT, as the CT number difference for materials of different densities is smaller and thus more difficult to distinguish visually. This is because in the MeV photon energy range used in MV FBCT, Compton scattering effect is predominant in attenuating the beams, which is almost independent of the atomic number Z of the material. In contrast, in the keV range used in kV CT, the predominant interaction is the photoelectric effect, whose attenuation is highly dependent on the atomic number Z of the material. As a result, while both kV and MV CT depend on electron densities, kV CT tends to display sharper contrast in the visualization of materials with differing atomic numbers. At the same time, this also means MV CT produces less artifact and image distortion when high atomic number material is present within the scan.[10] Note that this effect was not specifically due to materials having a density greater than water, but rather was because materials with density greater than water tend to have greater atomic number.
Figure 8: On the left: Megavoltage computed tomography scan of a patient with titanium dental implant. On the right: kV computed tomography scan of the same patient. Imaging artifact caused by the implant is more obvious. If the kV scan is used solely for planning, a density override would be required for those areas affected by artifact, thus slowing down the workflow

Click here to view


End-to-end measurements

The average absolute difference for calculations based on kV CT images was 1.76%, with an absolute SD of ±1.30%. The average absolute difference for calculations based on MV CT images was 1.78%, with an absolute SD of ±0.87%. These results agree with what was reported in the previous studies.[11],[12]

From all the above results, it was noted that the largest problem with the MV FBCT was the large noise compared to kV CT, which resulted in uncertainties in target delineation. The noise could have larger impact on patients due to more complicated geometries and patient motion. MV CT also demonstrated a poorer spatial resolution and less contrast for materials of MD more than water, both of which would make accurate target delineation more difficult. As inverse planning optimization is fully based on structures, inaccuracy in target delineation can potentially degrade the plan quality. As a result, users should be cautious with the use of TomoTherapy MV CT as the primary image set in plans that use inverse planning technique.

The results also indicate that for TomoTherapy MV CT an accurate CT-MD curve can be established for dose calculation and point doses calculated on both MV CT and kV CT agree well with the measured values, despite its relatively poor image quality due to high noise, low contrast, and low spatial resolution. The imaging system also provides accurate geometric measurements. As a consequence, the imaging system can be used for direct dose calculation in forward planning for areas with well-known structures, as long as proper commissioning tests are performed and proper QA systems are maintained.

As such one suitable application of TomoTherapy MV CT is palliative radiation therapy treatment planning, where structure delineation is primarily determined from bony anatomy, and larger margins can be justified. All test results have indicated that adequate geometric and dosimetric information can be provided by the MV CT alone for these types of treatment. The use of TomoTherapy MV CT for palliative planning allows patients to gain rapid access to palliative radiation therapy with minimal patient movement required. Consequently, patients' access to quality care and an improved quality of life is made possible.[3],[19] The other advantage provided using TomoTherapy MV CT in conjunction with a TomoTherapy linear accelerator for palliative treatment is that as in this procedure; the patient is both scanned and treated on the same TomoTherapy couch, the accuracy in reproducing the patient's position from scanning to treatment delivery can be greatly improved.

MV CT produces less artifact and image distortion when high atomic number material is present within the scan.[10] As such it provides a significant advantage over kV CT for patients with high atomic number implants such as metal dental fillings or hip prosthesis. One example is given below, where the patient not only requires treatment around the lower lip but also has titanium dental fillings. The patient was scanned with both kV CT and MV CT, displayed in [Figure 8]. It is noted that there is no image artifact on the MV CT scan, but considerable streaking appears on the kV CT scan. The presence of artifacts requires density overrides to the areas affected by the artifact and also reduces the accuracy of structure delineation. For this reason, for patients with high atomic number implants, TomoTherapy MV CT can be acquired and used as the secondary image set, which can be fused to the kV CT images to aid target delineation, if not used directly as the primary image set for planning.

One potential source of error that was not analyzed by the described tests was the imaging artifact caused by patient's intrafractional motion. Since the MVFB CT acquisition on TomoTherapy takes much longer than a kV CT, patient motion becomes a significant problem. One example is shown below in [Figure 9], where the artifact caused by patient's respiratory motion can be clearly observed. Although palliative treatments are most likely prescribed to patients with bone metastases, brain metastases, and spinal cord compression [1] which are relatively motionless anatomical sites compared to others such as lung and liver, the motion effect can still be significant with extended imaging acquisition time. This is more of a problem during initial image acquisition, as during treatment delivery patient motion can be accounted for by adding proper margin or overshoot in planning to account for organ motion.[20]
Figure 9: Lateral and longitudinal image artifact caused by patient's motion during imaging acquisition

Click here to view



   Conclusion Top


The study assessed whether TomoTherapy MV FBCT images have comparable image qualities to conventional kV CT images and can be used directly for radiotherapy planning. Despite its long image acquisition time and relatively large noise, the authors concluded that TomoTherapy MV CT images provide adequate information for the delineation and planning of palliative radiotherapy patients whose treatment sites are relatively immobile and well-distinguishable. As such, it can be used together with the statRT module provided by TomoTherapy for the simulation, planning, and treatment of palliative radiotherapy patients.

Compared to a conventional radiotherapy treatment workflow that involves the use of a separate CT scanner and a treatment unit, using TomoTherapy as both the imaging unit and the treatment unit for palliative radiotherapy patients provides the following advantages:

  1. Rapid access to treatment. Using the statRT software, the time to treatment has been reported as under 1 h.[4] Our test run results also support this timing. In contrast, the conventional planning workflow usually requires at least 1-day turnaround. As studies have shown that dedicated rapid access palliative radiation therapy improves patients' access to care,[3] the quick access to radiation therapy, and the rapid workflow will potentially improve these patients' quality of life significantly;
  2. Better reproducibility in patient positioning from simulation to treatment, as the patient is simulated and treated on the same unit. The turnaround time from simulation to treatment is also greatly reduced; and
  3. For less-mobile palliative patients, it is possible to allow the patient to stay on the TomoTherapy couch from simulation until treatment, which minimizes the chance of doing damage to the patients and reduces reduced potential aggravating morbidity pain during bed transfer. The pretreatment QA for these patients can be performed with QA programs that are based on calculations and do not require direct dose measurements.


As a result, it is feasible to use the TomoTherapy unit for the simulation, planning, and treatment of palliative radiotherapy patients. Once TomoTherapy planning is available in an open-source planning system, the workflow can be further optimized through the implementation of scripting and automation in steps such as image transfers, contouring, plan setup and plan check, so that the turnaround time for the patient can be further reduced, thus further improving patient quality of life.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
   References Top

1.
van Oorschot B, Rades D, Schulze W, Beckmann G, Feyer P. Palliative radiotherapy – New approaches. Semin Oncol 2011;38:443-9.  Back to cited text no. 1
    
2.
Mackillop WJ, Kong W. Estimating the need for palliative radiation therapy: A benchmarking approach. Int J Radiat Oncol Biol Phys 2016;94:51-9.  Back to cited text no. 2
    
3.
Dennis K, Linden K, Balboni T, Chow E. Rapid access palliative radiation therapy programs: An efficient model of care. Future Oncol 2015;11:2417-26.  Back to cited text no. 3
    
4.
Rong Y, Yadav P, Paliwal B, Shang L, Welsh JS. A planning study for palliative spine treatment using StatRT and megavoltage CT simulation. J Appl Clin Med Phys 2010;12:3348.  Back to cited text no. 4
    
5.
McIntosh A, Dunlap N, Sheng K, Geezey C, Turner B, Blackhall L, et al. Helical tomotherapy-based STAT RT: Dosimetric evaluation for clinical implementation of a rapid radiation palliation program. Med Dosim 2010;35:280-6.  Back to cited text no. 5
    
6.
Dunlap N, McIntosh A, Sheng K, Yang W, Turner B, Shoushtari A, et al. Helical tomotherapy-based STAT stereotactic body radiation therapy: Dosimetric evaluation for a real-time SBRT treatment planning and delivery program. Med Dosim 2010;35:312-9.  Back to cited text no. 6
    
7.
Mutic S, Palta JR, Butker EK, Das IJ, Huq MS, Loo LN, et al. Quality assurance for computed-tomography simulators and the computed-tomography-simulation process: Report of the AAPM Radiation Therapy Committee Task Group No 66. Med Phys 2003;30:2762-92.  Back to cited text no. 7
    
8.
TomoTherapy Incorporated. MVCT imaging with J1 TomoImage beam. Application Note for the Tomotherapy Hiart Treatment System. TomoTherapy Incorporated; 2010.  Back to cited text no. 8
    
9.
Sterzing F, Kalz J, Sroka-Perez G, Schubert K, Bischof M, Roder F, et al. Megavoltage CT in helical tomotherapy – Clinical advantages and limitations of special physical characteristics. Technol Cancer Res Treat 2009;8:343-52.  Back to cited text no. 9
    
10.
Yang C, Liu T, Jennelle RL, Ryu JK, Vijayakumar S, Purdy JA, et al. Utility of megavoltage fan-beam CT for treatment planning in a head-and-neck cancer patient with extensive dental fillings undergoing helical tomotherapy. Med Dosim 2010;35:108-14.  Back to cited text no. 10
    
11.
Meeks SL, Harmon JF Jr., 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.  Back to cited text no. 11
    
12.
Langen KM, Meeks SL, Poole DO, Wagner TH, Willoughby TR, Kupelian PA, et al. The use of megavoltage CT (MVCT) images for dose recomputations. Phys Med Biol 2005;50:4259-76.  Back to cited text no. 12
    
13.
Held M, Cremers F, Sneed PK, Braunstein S, Fogh SE, Nakamura J, et al. Assessment of image quality and dose calculation accuracy on kV CBCT, MV CBCT, and MV CT images for urgent palliative radiotherapy treatments. J Appl Clin Med Phys 2016;17:279-90.  Back to cited text no. 13
    
14.
Ruchala KJ, Olivera GH, Schloesser EA, Mackie TR. Megavoltage CT on a tomotherapy system. Phys Med Biol 1999;44:2597-621.  Back to cited text no. 14
    
15.
Australian Clinical Dosimetry Service. Instructions for the ACDS level III audit: Wedged and Asymmetric fields with Inhomogeneities for Lung treatments (WAIL). Int ACDS Rep 2014.  Back to cited text no. 15
    
16.
Araki F. Monte Carlo-based correction factors for ion chamber dosimetry in heterogeneous phantoms for megavoltage photon beams. Phys Med Biol 2012;57:7615-27.  Back to cited text no. 16
    
17.
Karl P. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philos Mag Ser 5 1900;50:157-75.  Back to cited text no. 17
    
18.
Khan FM. The Physics of Radiation Therapy. 3rd ed. Baltimore: Williams & Wilkins; 2003. p. 67.  Back to cited text no. 18
    
19.
Yeo R, Campbell T, Fairchild A. Is weekend radiation therapy always justified. J Med Imaging Radiat Sci 2012;43:3-24.  Back to cited text no. 19
    
20.
Squires M, Hu Y, Byrne M, Archibald-Heeren B, Cheers S, Bosco B, et al. Static beam tomotherapy as an optimisation method in whole-breast radiation therapy (WBRT). J Med Radiat Sci 2017;6:1-9.  Back to cited text no. 20
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6], [Figure 7], [Figure 8], [Figure 9]
 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]



 

Top
Print this article  Email this article
  

    

 
   Search
 
  
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Article in PDF (1,421 KB)
    Citation Manager
    Access Statistics
    Reader Comments
    Email Alert *
    Add to My List *
* Registration required (free)  


    Abstract
   Introduction
    Materials and Me...
   Results
   Discussions
   Conclusion
    References
    Article Figures
    Article Tables

 Article Access Statistics
    Viewed1219    
    Printed12    
    Emailed0    
    PDF Downloaded34    
    Comments [Add]    

Recommend this journal