Variability in spine radiosurgery treatment planning – results of an international multi-institutional study
© Toussaint et al. 2016
Received: 15 March 2016
Accepted: 9 April 2016
Published: 18 April 2016
The aim of this study was to quantify the variability in spinal radiosurgery (SRS) planning practices between five international institutions, all member of the Elekta Spine Radiosurgery Research Consortium.
Four institutions provided one representative patient case each consisting of the medical history, CT and MR imaging. A step-wise planning approach was used where, after each planning step a consensus was generated that formed the basis for the next planning step. This allowed independent analysis of all planning steps of CT-MR image registration, GTV definition, CTV definition, PTV definition and SRS treatment planning. In addition, each institution generated one additional SRS plan for each case based on intra-institutional image registration and contouring, independent of consensus results.
Averaged over the four cases, image registration variability ranged between translational 1.1 mm and 2.4 mm and rotational 1.1° and 2.0° in all three directions. GTV delineation variability was 1.5 mm in axial and 1.6 mm in longitudinal direction averaged for the four cases. CTV delineation variability was 0.8 mm in axial and 1.2 mm in longitudinal direction. CTV-to-PTV margins ranged between 0 mm and 2 mm according to institutional protocol. Delineation variability was 1 mm in axial directions for the spinal cord. Average PTV coverage for a single fraction18 Gy prescription was 87 ± 5 %; Dmin to the PTV was 7.5 ± 1.8 Gy averaged over all cases and institutions. Average Dmax to the PRV_SC (spinal cord + 1 mm) was 10.5 ± 1.6 Gy and the average Paddick conformity index was 0.69 ± 0.06.
Results of this study reflect the variability in current practice of spine radiosurgery in large and highly experienced academic centers. Despite close methodical agreement in the daily workflow, clinically significant variability in all steps of the treatment planning process was demonstrated. This may translate into differences in patient clinical outcome and highlights the need for consensus and established delineation and planning criteria.
Cancer patients with systemic tumor spread frequently develop skeletal metastases. Many of these occur within the spine [1–3]. Radiotherapy (RT) is an established and recommended component of the multidisciplinary treatment of spine metastases with regard to prevention of pathologic fractures or neurological deficits and pain palliation [4–6]. Conventional RT with low dose per fraction is effective but has been shown to achieve only a rather short duration of pain response of only 3–6 months (median) . Improvements in systemic treatment efficacy have prolonged survival in many cancer patients. Also, validated overall survival scores have been described for patients treated with spine metastases that has enabled identification of patient subgroups with longer survival [8–10].
Spine Stereotactic Radiosurgery (SRS), sometimes also referred to as Stereotactic Body Radiation Therapy (SBRT) to the spine, has been demonstrated to result in promising long term local control and pain palliation with low toxicity rates [11–16]. The use of SRS as an alternative treatment to conventional RT has been increasing rapidly. However, there still remains significant variability and little consensus exist regarding target volume contouring and treatment planning [17–19].
The aim of this study was to quantify the variability in SRS planning practice between five experienced international centers. This planning study is based on 4 patient cases with representative tumor lesions in 1–2 vertebrae.
Materials and methods
Detailed patient status parameters
Pain Score VAS
Circumferential epidural disease:
Number of involved vertebras:
A step-wise planning procedure was performed such that variability in all stages of the planning process were analyzed independently: 1) CT-MR image registration 2) gross-tumor volume (GTV) and organ at risk (OAR) spinal cord delineation 3) clinical target volume (CTV) and planning risk volume (PRV) definition 4) planning target volume (PTV) definition 5) treatment planning based on consensus contours and 6) treatment planning based on institutional-specific contours. This was achieved by providing consensus results after each step of the planning process, forming the basis for the next step.
The planning software for treatment planning was Pinnacle3 in all institutions (Philips Radiation Oncology Systems, Fitchburg, WI, USA) and some institutions used additional software for image registration or delineation depending on in house protocol.
Step 1: CT-MR image registration
The CT and MR images for each patient were electronically provided to each institution. The CT images were defined as reference image data set and the MR image as secondary image set for image fusion. The registration parameters were recorded in x (Left-Right), y (Anterior-Posterior) and z (Superior-Inferior) directions. Only rigid translations and rotations of the image sets were considered for each case.
Average registration results were calculated by taking the mean value of all registration results and were considered to be the consensus results. These consensus registration parameters were sent back to all institutions. The consensus registration parameters were then used for the following step of target definition.
Step 2: delineation of GTV and spinal cord
GTV and spinal cord (in one case with lumbar location - thecal sac) delineation was performed according to the institution specific in-house protocols in consideration of the clinical case descriptions by all institutions. A consensus for all case specific GTV and spinal cord contours was calculated and distributed to the different institutions by the coordinating institution.
Step 3: delineation of CTV
Delineation of CTV was based on the consensus GTV. According to step 2, a consensus for all case specific contours was calculated and distributed to the different institutions by the coordinating institution.
Step 4: definition of PTV and PRV
PTV definition was based on the consensus CTV. The definition of the planning risk volume spinal cord (PRV_SC) was based on the consensus spinal cord (in one case with lumbar location, consensus spinal canal). Once again, a consensus for all case specific contours was calculated and distributed to the different institutions by the coordinating institution.
Step 5: treatment planning based on consensus contours
The consensus PTV and the consensus PRV_SC were used for treatment planning. Institution specific contouring of relevant organs at risk (e.g. lungs…) and optimization guiding structures for the dose optimization process was allowed. Target volume prescription and normal tissue constraints are given below (see Step 6).
Institution specific in-house planning objectives/constraints were used for generation of the treatment plan. Both step-and-shoot IMRT as well as VMAT were allowed. All institutions used an Elekta Synergy S/Axesse equipped with the Beam Modulator MLC (4 mm leaf width) for treatment planning (Elekta Beam Modulator™, Elekta Oncology Systems, Crawley, UK). Photon energies of 6 MV and 10 MV were used for treatment planning according to individual in-house protocols and depending on tumor location. Doses were calculated with a 2 mm grid size and collapsed cone convolution algorithm.
Step 6: treatment planning based on institutional-specific CTV contours
Treatment planning was repeated with institutional-specific GTV and CTV contours and institution specific PTV and OAR delineation by all institutions for all cases by using the identical planning objectives/constraints as in the previous planning step 5.
Objectives and constraints for this planning study
The prescription dose to the PTV was 18 Gy in a single fraction. An attempt was made to achieve a PTV coverage of at least 90 % by the prescription dose. Coverage of 80–90 % of the target volume was acceptable. A minimum coverage of <80 % of the target volume was an unacceptable deviation. Dose inhomogeneity within the target volume was allowed.
Normal tissue constraints
Volume in cm3
Dose Max in Gy
Endpoint (> Grade 3)
Tracheaa and Larynx
Renal hilum/vascular trunk
Critical volume in cm3
Endpoint (> Grade 3)
Lung (Right & Left)
Renal cortex (Right & Left)
Basic renal function
Calculation of consensus structures
Method for calculation of delineation variability
The consensus structure formed the basis for calculation of delineation variability. The shortest distance in each direction (Euclidean distance) was calculated between the consensus structure and the institutional structures to obtain an estimation of delineation variability for these irregular shaped contours (Fig. 2).
Method for dosimetric plan comparison
The dose distribution of the treatment plans was evaluated by determining minimum dose (Dmin), mean dose (Dmean), maximum dose (Dmax). The dose volume parameters according to ICRU Report 83  D98, D95, D90, D05, D02 and V18Gy were acquired for the PTV. The D98 of the PTV is the dose which encompasses 98 % of the PTV. Additionally, V18Gy describes the part of the PTV which is treated with 18 Gy while V-Abs18Gy is the total body volume treated with 18 Gy (including normal tissue). For the PRV_SC the parameters Dmax, D0,1ccm, V8Gy, V10Gy were acquired.
The dose distributions were compared using the following parameters: conformity, homogeneity and target coverage, according to the RTOG recommendation . Additionally, the Paddick conformity index was also determined . The RTOG conformity index (CI-RTOG) represents the ratio of the volume encompassed by the prescription isodose to the target volume. Three categories of conformity index protocol compliance were defined. Plans with a conformity index value between 1.0 and 2.0 are in the normal range and are classified as not deviating from RTOG protocol. Conformity index value between 2.0 and 2.5 or between 0.9 and 1.0 are classified as having minor deviations. Value greater than 2.5 or less than 0.9 show major deviations of the dose from the RTOG protocol.
The RTOG homogeneity index (HI-RTOG) represents the ratio of maximum dose within the target volume to the prescribed dose. The normal range is up to 2.0, it indicates a minor deviation if HI-RTOG > 2.0 and a major deviation if HI-RTOG > 2.5.
The RTOG coverage (Cov-RTOG) describes the ratio between minimum dose within the target volume and the prescribed dose, it indicates a minor deviation if <0.9 and a major deviation if <0.8.
The Paddick conformity index (CI-Paddick) describes the ratio of the squared target volume covered by the prescription isodose to the arithmetic product of target volume and prescription isodose total volume. This equals the multiplication of the undertreatment ratio and the overtreatment ratio. This index has an ideal value of one and plan quality decreases with decreasing index value.
Step 1: CT-MR image registration
Registration variability between the five institutions
X in mm
Y in mm
Z in mm
rot X in °
rot Y in °
rot Z in °
average 1; 2; 4
average 1; 2; 4
Large registration variability was observed for case 3, most likely because of low image resolution (pixelspacing 1.2 mm CT and 0.8 mm on MRI) and large slice spacing of 3 mm on CT and 4.8 mm on MR. This was a thoracic spine (T 7–8) case with MR acquired in non-treatment position that made CT-MR registration extremely challenging. Without consideration of this outlier, average registration variability ranged from 0.8 mm to 1.7 mm for translation and 1.0° to 2.1° for rotation.
Step 2: delineation of GTV and spinal cord
GTV definition variability between the five institutions
SD in mm
Range in mm
X and Y
X and Y
For the spinal cord, the delineation variability (1 SD) between the five institutions was 1 mm in axial direction averaged over the four cases.
Step 3: delineation of CTV and organ at risk spinal cord
CTV definition variability between the five institutions
SD in mm
Range in mm
X and Y
X and Y
Step 4 delineation of PTV
Step 5: treatment planning
ICRU report parameters with average values over all cases
Dmin in Gy
D98 in Gy
D95 in Gy
D90 in Gy
Dmean in Gy
D05 in Gy
D02 in Gy
Dmax in Gy
Mean of doses and volumes to PRV_SC-Consensus
Dmax in Gy
D0.1ccm in Gy
V8Gy in ccm
V10Gy in ccm
Dose to PRV_SCconsensus (Mean ± SD)
Dmin to the PTV was 7.5 ± 1.8 Gy averaged over all cases and institutions. The D90 was 17.4 ± 1.0 Gy on average and 86.9 % ± 5.2 of the PTV was covered by the prescribed dose of 18 Gy.
Dmax to the PRV_SCconsensus (spinal cord + 1 mm) was 10.5 Gy on average and variability (1 SD) of Dmax was 1.6 Gy averaged over all cases and institutions. Dmax in the PRV_SC was smaller than 12 Gy in 18 of 20 treatment plan trials developed by the participating institutions. For the two deviating trials, the D0,1ccm was 11 Gy in maximum. The highest variability between institutions was observed in case 4, where Dmax to the PRV_SC ranged between 6.4 Gy and 11.7 Gy. The mean absolute PRV_SC volume exposed to maximum 10 Gy was 0.1 cm3 with a maximum of 0.39 cm3.
Mean performance parameters for all cases
One additional plan was optimized based on the PTVindividual of each case and institution. Doses to the consensus PTV and consensus PRV_SC were evaluated in these treatment plans to quantify the dosimetric consequences of the image-registration and contouring uncertainties.
Cov-RTOG decreased significantly if plans were generated based on institution-individual contours (1c - 4c). The mean values of consensus plans are centered in a range that would be considered as minor deviations (<0.9) for all cases. This is contrasted with the mean of the individual plans (1i –4i), which are consistently in a range that would be considered a major deviation (<0.8) (Fig. 5).
The CI-Paddick is less affected by the image registration and delineation variability. As shown in Fig. 6, the consensus plans show on average a higher CI-Paddick and smaller deviations.
For plans on individual PTVs, the average Dmin for PTVconsensus drops from 7.5 ± 1.8 Gy to 6.5 ± 0.9 Gy. The Dmax to PRV_SC increased from 10.5 ± 1.8 Gy to 12.2 ± 2.2 Gy. Similar results were observed for D0.1ccm which increased from D0.1ccm 9.0 ± 1.5 Gy to 9.9 ± 1.8 Gy.
The aim of this work is to quantify the variability of treatment planning for spine radiosurgery in various steps of the treatment planning process between five international institutions. High variability was observed during all steps of the planning process of image registration and contouring of tumor and target volumes. For fair comparison, consensus registration parameters were determined for image fusion and consensus contours were developed for treatment plan optimization and dosimetric evaluation. Additional individual treatment plans were generated based on each individual institutions spine RS practice and showed higher variabilities in dose performance parameters for consensus target volumes and organs at risk.
For the CT-MRI registration process, a high variability was observed as reported by Ulin et al. . None of the MR images were acquired in treatment position. The influence of the 3D- voxel size seems to be the main factor for registration performance. Case 1, 2 and 4 had an average voxel size for CT and MR datasets of 1.0 mm with an SD of 0.5 mm whereas case 3 had an voxel size of 4.1 mm for CT and 2.9 mm for MR dataset. Deformation of the vertebral column is well known but our results indicate that even in SBRT of a solitary vertebra, reproducible patient positioning for MR imaging should be performed to improve image registration. Additionally, all institutions explained that automatic image registration achieved unsatisfactory results and the image registration was adjusted manually. Improved software and methodologies specifically optimized for the vertebral column may therefore be required. One promising approach was suggested by Sohn et al. . They present a segmental image fusion protocol which allows an improved visualization of spinal tumors and promises to achieve more consistent results. Nevertheless, image registration depends on datasets with high spatial resolution and a reproducible positioning to avoid or at least to minimize deformation.
For the delineation process, the highest variability was observed for GTV delineation, which was about 1.5 mm on average. The following step of CTV definition, which was based on the consensus GTV contour, resulted in lower variability between institutions of about 1 mm. The CTV-to-PTV margin ranged between 0 mm and 2 mm. These variabilities clearly show the need for further standardization of imaging and of delineation guidelines. Recently, GTV delineation variability was evaluated for SBRT of stage I non-small cell lung cancer and the overall delineation variability was 2.1 mm . Tseng et al. results support the importance of controlling bulk patient motion and the practice of applying a planning organ-at-risk margin . Several studies have investigated the inter-observer variability during the target definition of other entities. All of them agreed that the consistency of contouring can be improved by education and training, consensus guidelines and multi-institutional collaborations [30–33]. Also, a high degree of inter-observer variability was seen for brain SRS [34, 35]. Deviations between treatment planning based on individual and consensus structures may show a potential influence on patient outcome.
An overview of methods of spine radiosurgery for the participating institutions was described by Guckenberger et al. . Good agreement was seen for the imaging acquisitioning techniques and safety margins concepts. However, treatment plan acceptance criteria varied substantially between all institutions. For this work, a D90 of 18 Gy in the PTV was suggested as parameter for plan acceptance. Even though the treatment planning was performed based on consensus contours, the acceptance criteria for D90 varied up to 3 Gy. This might be due to different approaches to achieve target coverage and sparing of the organs at risk, especially the spinal cord. The tolerance dose to the spinal cord is limited to a maximum dose while other institutions limit the dose to different sub-volumes (0.1 cm3, 0.4 cm3 or 0.04 cm3). This disagreement was already stated by Guckenberger et al. . Additionally, changes/deviations in beam configuration and optimization goals can lead to different planning results. Again, these variabilities show the need of strict and consistent acceptance criteria. Similar findings were published by Esposito et. al who investigated variability in treatment planning for stereotactic radiotherapy of liver metastasis . In a multicenter study, they found significant differences for target coverage and OAR sparing due to different optimization strategies selected by the planners. Another multi-institutional study evaluated dosimetric parameters for SBRT of lung lesions and how much the guidelines provided in the literature are being successfully implemented in a variety of clinics . They analyzed PTV coverage and conformality of their treatment plan and found that and the conformality index of 50 % was the most difficult to meet depending on tumor size and location.
Spinal radiosurgery (SRS) for vertebral metastases is a rapidly evolving treatment modality that has shown promising results in terms of pain and tumor control. However, the methodology and implementation of SRS has not yet been sufficiently standardized. Further studies are needed to establish whether the variability observed in this study will influence the clinical outcomes.
This research was partially supported through an Elekta research grant with all institutions being members of the Elekta Spine Radiosurgery Research Consortium. This publication was supported by the Open Access Publication Fund of the University of Wuerzburg. This work and these data, however, are the intellectual property of the individual group members and their sponsoring institutions.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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