Thecal Sac Contouring as a Surrogate for the Cauda Equina and Intracanal Spinal Nerve Roots for Spine Stereotactic Body Radiation Therapy (SBRT): Contour Variability and Recommendations for Safe Practice.

PURPOSE: To present interobserver variability in thecal sac (TS) delineation based on contours generated by 8 radiation oncologists experienced in spine stereotactic body radiation therapy and to propose contouring recommendations to standardize practice. METHODS AND MATERIALS: In the setting of a larger contouring study that reported target volume delineation guidelines specific to sacral metastases, 8 academically based radiation oncologists with dedicated spine stereotactic body radiation therapy programs independently contoured the TS as a surrogate for the cauda equina and intracanal spinal nerve roots. Uniform treatment planning simulation computed tomography datasets fused with T1, T2, and T1 post gadolinium magnetic resonance imaging for each case were distributed to each radiation oncologist. All contours were analyzed and agreement was calculated using both Dice similarity coefficient and simultaneous truth and performance level estimation with kappa statistics. RESULTS: A fair level of simultaneous truth and performance level estimation agreement was observed between practitioners, with a mean kappa agreement of 0.38 (range, 0.210.55) and the mean Dice similarity coefficient (± standard deviation, with range) was 0.43 (0.36 ± 0.1 to -0.53 ±0.1). Recommendations for a reference TS contour, accounting for the variations in practice observed in this study, include contouring the TS to encompass all the intrathecal spinal nerve roots, and caudal to the termination of the TS, the bony canal can be contoured as a surrogate for the extra thecal nerves roots that run within it. CONCLUSIONS: This study shows that even among high-volume practitioners, there is a lack of uniformity when contouring the TS. Further modifications may be required once dosimetric data on nerve tolerance to ablative doses, and pattern of failure analyses of clinical data sets using these recommendations, become available. The contouring recommendations were designed as a guide to enable consistent and safe contouring across general practice.

International consensus recommendations for target volume delineation specific to sacral metastases and spinal stereotactic body radiation therapy (SBRT).

BACKGROUND AND PURPOSE: To interrogate inter-observer variability in gross tumour volume (GTV) and clinical target volume (CTV) delineation specific to the treatment of sacral metastases with spinal stereotactic body radiation therapy (SBRT) and develop CTV consensus contouring recommendations. MATERIALS AND METHODS: Nine specialists with spinal SBRT expertise representing 9 international centres independently contoured the GTV and CTV for 10 clinical cases of metastatic disease within the sacrum. Agreement between physicians was calculated with an expectation minimisation algorithm using simultaneous truth and performance level estimation (STAPLE) and with kappa statistics. Optimised confidence level consensus contours were obtained using a voxel-wise maximum likelihood approach and the STAPLE contours for GTV and CTV were based on an 80% confidence level. RESULTS: Mean GTV STAPLE agreement sensitivity and specificity was 0.70 (range, 0.54-0.87) and 1.00, respectively, and 0.55 (range, 0.44-0.64) and 1.00 for the CTV, respectively. Mean GTV and CTV kappa agreement was 0.73 (range, 0.59-0.83) and 0.59 (range, 0.41-0.70), respectively. Optimised confidence level consensus contours were identified by STAPLE analysis. Consensus recommendations for the CTV include treating the entire segment containing the disease in addition to the immediate adjacent bony anatomic segment at risk of microscopic extension. CONCLUSION: Consensus recommendations for CTV target delineation specific to sacral metastases treated with SBRT were established using expert contours. This is a critical first step to achieving standardisation of target delineation practice in the sacrum and will serve as a baseline for meaningful pattern of failure analyses going forward.

Dose-painted volumetric modulated arc therapy of high-grade glioma using 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine positron emission tomography.

OBJECTIVE: To determine whether dose painting with volumetric modulated arc therapy for high-grade gliomas using 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-FDOPA) positron emission tomography (PET) could achieve dose-escalated coverage of biological target volumes (BTVs) without increasing the dose to cranial organs at risk (OARs). METHODS: 10 patients with high-grade gliomas underwent CT, MRI, and 18F-FDOPA PET/CT images for post-operative radiation therapy planning. Two volumetric modulated arc therapy plans were retrospectively generated for each patient: a conventional plan with 60 Gy in 30 fractions to the planning target volume delineated on MRI and a dose-escalated plan with a maximum dose of 80 Gy in 30 fractions to BTVs. BTVs were created by thresholding 18F-FDOPA PET/CT uptake using a linear quadratic model that assumed tracer uptake was linearly related to tumour cell density. The maximum doses and equivalent uniform doses of OARs were compared. RESULTS: The median volume of the planning target volume receiving at least 95% of the prescribed dose (V 95%) was 99.6% with and 99.5% without dose painting. The median V 95% was >99.2% for BTVs. The maximum doses and equivalent uniform doses to the OARs did not differ significantly between the conventional and dose-painted plans. CONCLUSION: Using commercially available treatment planning software, dose painting for high-grade gliomas was feasible with good BTV coverage and no significant change in the dose to OARs. ADVANCES IN KNOWLEDGE: A novel treatment planning strategy was used to achieve dose painting for gliomas with BTVs obtained from 18F-FDOPA PET/CT using a radiobiological model.

Multi-institutional Randomized Trial Testing the Utility of an Interactive Three-dimensional Contouring Atlas Among Radiation Oncology Residents.

PURPOSE: The delivery of safe and effective radiation therapy relies on accurate target delineation, particularly in the era of highly conformal treatment techniques. Current contouring resources are fragmented and can be cumbersome to use. The present study reports on the efficacy and usability of a web-based contouring atlas compared with those of existing contouring resources in a randomized trial. METHODS AND MATERIALS: We enrolled radiation oncology residents into a 2-phase contouring study. All residents contoured a T1N1 nasopharyngeal cancer case using the currently available resources. The participants were then randomized to recontour the case with access to existing resources or an interactive web-based contouring atlas (eContour.org). Contour analysis was performed using conformation number and simultaneous truth and performance level estimation. At completion of the second contouring session, the residents completed a multiple choice question knowledge test and a 10-item System Usability Scale. RESULTS: Twenty-four residents from 5 institutions completed the study. Compared with the residents using currently available resources, the residents using eContour had improved contour agreement with both the consensus (0.63 vs 0.52; P=.02) and the expert (0.58 vs 0.50; P=.01) contours for the high-risk clinical target volume and greater agreement with the expert contour for the contralateral parotid gland (0.44 ± 0.12 vs 0.56 ± 0.08; P=.003). The residents using eContour demonstrated greater knowledge of contour delineation and radiographic anatomy on a multiple-choice knowledge-based test (89% vs 77%; P=.03). Usability (89 vs 66; P<.0001) and satisfaction (4.1 vs 3.0; P=.002) were greater for eContour than for the existing resources. CONCLUSIONS: This study demonstrates the capacity of an interactive 3-dimensional contouring atlas to improve quality of resident target delineation in radiation oncology. Further research is needed to define the utility of easily accessible interactive educational reference tool to improve adherence to contouring-based guidelines and quality of care in routine clinical practice.

Interhemispheric Difference Images from Postoperative Diffusion Tensor Imaging of Gliomas.

Introduction Determining the full extent of gliomas during radiotherapy planning can be challenging with conventional T1 and T2 magnetic resonance imaging (MRI). The purpose of this study was to develop a method to automatically calculate differences in the fractional anisotropy (FA) and mean diffusivity (MD) values in target volumes obtained with diffusion tensor imaging (DTI) by comparing with values from anatomically homologous voxels on the contralateral side of the brain. Methods Seven patients with a histologically confirmed glioma underwent postoperative radiotherapy planning with 1.5 T MRI and computed tomography. DTI was acquired using echo planar imaging for 20 noncolinear directions with b = 1000 s/mm2 and one additional image with b = 0, repeated four times for signal averaging. The distribution of FA and MD was calculated in the gross tumor volume (GTV), shells 0-5 mm, 5-10 mm, 10-15 mm, 15-20 mm, and 20-25 mm outside the GTV, and the GTV mirrored in the left-right direction (mirGTV). All images were aligned to a template image, and FA and MD interhemispheric difference images were calculated. The difference in mean FA and MD between the regions of interest was statistically tested using two-sided paired t-tests with α = 0.05. Results The mean FA in mirGTV was 0.20 ± 0.04, which was larger than the FA in the GTV (0.12 ± 0.03) and shells 0-5 mm (0.15 ± 0.03) and 5-10 mm (0.17 ± 0.03) outside the GTV. The mean MD (×10-3 mm2/s) in mirGTV was 0.93 ± 0.09, which was smaller than the MD in the GTV (1.48 ± 0.19) and the peritumoral shells. The distribution of FA and MD interhemispheric differences followed the same trends as FA and MD values. Conclusions This study successfully implemented a method for calculation of FA and MD differences by comparison of voxel values with anatomically homologous voxels on the contralateral side of the brain. Further research is warranted to determine if radiotherapy planning using these images can be used to improve target delineation.

Liver toxicity prediction with stereotactic body radiation therapy: The impact of accounting for fraction size.

PURPOSE: Current liver SBRT protocols rely on the calculation of "effective volume" without accounting for the biologic effect of fraction size to estimate the risk of liver toxicity, which subsequently defines tumor prescription doses. This study compared effective volume and liver toxicity predictions with and without correction for fraction size. METHODS AND MATERIALS: The effective volume was determined for 18 liver SBRT plans with and without biologic normalization using the linear quadratic formula. Lyman-Kutcher-Burman normal tissue complication probability models estimated the risk of liver toxicity. Effective volumes and corresponding toxicity predictions were compared with and without biologic normalization. RESULTS: Accounting for the biologic difference of larger fraction size reduced the effective volume in all treatment plans compared with the unadjusted effective volume (median effective volume 0.21 vs 0.32). The lower effective volume with biologic normalization substantially reduced the estimated risk of liver toxicity (average risk of toxicity 32% vs 4.5%). CONCLUSIONS: This study demonstrates that accounting for the biologic effect of fraction size with effective volume significantly decreases predicted hepatic toxicity, which suggests that the risk of liver toxicity may be overestimated in clinical practice if biologic normalization is omitted. The effective volume toxicity model has proven safe in prospective clinical trials, though safe dose escalation with liver SBRT may be feasible.

High-grade glioma radiation therapy target volumes and patterns of failure obtained from magnetic resonance imaging and 18F-FDOPA positron emission tomography delineations from multiple observers.

PURPOSE: The objective of this study was to compare recurrent tumor locations after radiation therapy with pretreatment delineations of high-grade gliomas from magnetic resonance imaging (MRI) and 3,4-dihydroxy-6-[(18)F]fluoro-L-phenylalanine ((18)F-FDOPA) positron emission tomography (PET) using contours delineated by multiple observers. METHODS AND MATERIALS: Nineteen patients with newly diagnosed high-grade gliomas underwent computed tomography (CT), gadolinium contrast-enhanced MRI, and (18)F-FDOPA PET/CT. The image sets (CT, MRI, and PET/CT) were registered, and 5 observers contoured gross tumor volumes (GTVs) using MRI and PET. Consensus contours were obtained by simultaneous truth and performance level estimation (STAPLE). Interobserver variability was quantified by the percentage of volume overlap. Recurrent tumor locations after radiation therapy were contoured by each observer using CT or MRI. Consensus recurrence contours were obtained with STAPLE. RESULTS: The mean interobserver volume overlap for PET GTVs (42% ± 22%) and MRI GTVs (41% ± 22%) was not significantly different (P=.67). The mean consensus volume was significantly larger for PET GTVs (58.6 ± 52.4 cm(3)) than for MRI GTVs (30.8 ± 26.0 cm(3), P=.003). More than 95% of the consensus recurrence volume was within the 95% isodose surface for 11 of 12 (92%) cases with recurrent tumor imaging. Ten (91%) of these cases extended beyond the PET GTV, and 9 (82%) were contained within a 2-cm margin on the MRI GTV. One recurrence (8%) was located outside the 95% isodose surface. CONCLUSIONS: High-grade glioma contours obtained with (18)F-FDOPA PET had similar interobserver agreement to volumes obtained with MRI. Although PET-based consensus target volumes were larger than MRI-based volumes, treatment planning using PET-based volumes may not have yielded better treatment outcomes, given that all but 1 recurrence extended beyond the PET GTV and most were contained by a 2-cm margin on the MRI GTV.

Dose-distance metric that predicts late rectal bleeding in patients receiving radical prostate external-beam radiotherapy.

The relationship between rectal dose distribution and the incidence of late rectal complications following external-beam radiotherapy has been previously studied using dose-volume histograms or dose-surface histograms. However, they do not account for the spatial dose distribution. This study proposes a metric based on both surface dose and distance that can predict the incidence of rectal bleeding in prostate cancer patients treated with radical radiotherapy. One hundred and forty-four patients treated with radical radiotherapy for prostate cancer were prospectively followed to record the incidence of grade ≥2 rectal bleeding. Radiotherapy plans were used to evaluate a dose-distance metric that accounts for the dose and its spatial distribution on the rectal surface, characterized by a logistic weighting function with slope a and inflection point d0. This was compared to the effective dose obtained from dose-surface histograms, characterized by the parameter n which describes sensitivity to hot spots. The log-rank test was used to determine statistically significant (p < 0.05) cut-off values for the dose-distance metric and effective dose that predict for the occurrence of rectal bleeding. For the dose-distance metric, only d0 = 25 and 30 mm combined with a > 5 led to statistical significant cut-offs. For the effective dose metric, only values of n in the range 0.07-0.35 led to statistically significant cut-offs. The proposed dose-distance metric is a predictor of rectal bleeding in prostate cancer patients treated with radiotherapy. Both the dose-distance metric and the effective dose metric indicate that the incidence of grade ≥2 rectal bleeding is sensitive to localized damage to the rectal surface.

Evaluation of dosimetric consequences of seroma contour variability in accelerated partial breast irradiation using a constructed representative seroma contour.

PURPOSE: Contouring variability of the seroma can have important implications in the planning and delivery of accelerated partial breast irradiation (APBI). This study aimed to quantify the dosimetric impact of these interobserver and intraobserver contouring variations by construction of a representative seroma contour (RSC). METHODS AND MATERIALS: Twenty-one patients with a seroma suitable for APBI underwent four computed tomography (CT) scans: one planning CT and three additional CTs on the first, third, and fifth days of treatment. Three radiation oncologists contoured the seroma on each CT scan. For 3 patients, oncologists repeated contouring twice to assess intraobserver variations. Seroma contour variability was quantified by construction of an RSC. In addition, the percent volume overlap (PVO) was calculated. Root-mean-square (RMS) differences in seroma volume, size, and center of mass position compared to those of the RSC were calculated. Treatment fields from the original plan were applied to the repeated CTs by using the same isocenter shifts as the original plan. The dosimetric impact of the contour variations was assessed using V(95) (volume receiving at least 95% of the prescribed dose) and equivalent uniform dose (EUD). RESULTS: Interobserver RMS volume differences were, on average, 5.6 times larger than intraobserver differences. The median interobserver RMS seroma volume difference was 1.48 cm(3). The median PVO was 51.6%. V(95) and EUD of the seroma contours were similar for all patients. The median RMS differences of the seroma V(95) and EUD were 0.01% (range, 0%-3.99%) and 0.05 Gy (range, 0-0.98 Gy). CONCLUSIONS: Construction of the RSC showed that interobserver variations were most responsible for contour variations of the seroma. Current planning margins provided adequate dose coverage of the seroma despite these contour variations.