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Purpose: To report long-term outcome of fractionated stereotactic body radiation therapy (SBRT) for painful spinal metastases.Methods and Materials: This prospective, single-arm, multicenter phase 2 clinical trial enrolled 57 patients with 63 painful, unirradiated spinal metastases between March 2012 and July 2015. Patients were treated with 48.5 Gy in 10 SBRT fractions (long life expectancy [Mizumoto score ≤4]) or 35 Gy in 5 SBRT fractions (intermediate life expectancy [Mizumoto score 5-9]). Pain response was defined as pain improvement of a minimum of 2 points on a visual analog scale, and net pain relief was defined as the sum of time with pain response (complete and partial) divided by the overall follow-up time.Results: All 57 patients received treatment per protocol; 32 and 25 patients were treated with 10- and 5-fraction SBRT, respectively. The median follow-up of living patients was 60 months (range, 33-74 months). Of evaluable patients, 82% had complete or partial pain response (responders) at 3 months' follow-up (primary endpoint), and pain response remained stable over 5 years. Net pain relief was 74% (95% CI, 65%-80%). Overall survival rates of 1, 3, and 5 years were 59.6% (95% CI, 47%-72%), 33.3% (95% CI, 21%-46%), and 21% (95% CI, 10%-32%), respectively. Freedom from local spinal-metastasis progression was 82% at the last imaging follow-up. Late grade-3 toxicity was limited to pain in 2 patients (nonresponders). There were no cases of myelopathy. SBRT resulted in long-term improvements of all dimensions of the 5-level EuroQol 5-Dimension Questionnaire except anxiety/depression.Conclusions: Fractionated SBRT achieved durable pain response and improved quality of life at minimum late toxicity. [ABSTRACT FROM AUTHOR]

Purpose: Fibrotic changes after stereotactic body radiation therapy (SBRT) for stage I non-small cell lung cancer (NSCLC) are difficult to distinguish from local recurrences (LR), hampering proper patient selection for salvage therapy. This study validates previously reported high-risk computed tomography (CT) features (HRFs) for detection of LR in an independent patient cohort.Methods and Materials: From a multicenter database, 13 patients with biopsy-proven LR were matched 1:2 to 26 non-LR control patients based on dose, planning target volume (PTV), follow-up time, and lung lobe. Tested HRFs were enlarging opacity, sequential enlarging opacity, enlarging opacity after 12 months, bulging margin, linear margin disappearance, loss of air bronchogram, and craniocaudal growth. Additionally, 2 new features were analyzed: the occurrence of new unilateral pleural effusion, and growth based on relative volume, assessed by manual delineation.Results: All HRFs were significantly associated with LR except for loss of air bronchogram. The best performing HRFs were bulging margin, linear margin disappearance, and craniocaudal growth. Receiver operating characteristic analysis of the number of HRFs to detect LR had an area under the curve (AUC) of 0.97 (95% confidence interval [CI] 0.9-1.0), which was identical to the performance described in the original report. The best compromise (closest to 100% sensitivity and specificity) was found at ≥4 HRFs, with a sensitivity of 92% and a specificity of 85%. A model consisting of only 2 HRFs, bulging margin and craniocaudal growth, resulted in a sensitivity of 85% and a specificity of 100%, with an AUC of 0.96 (95% CI 0.9-1.0) (HRFs ≥2). Pleural effusion and relative growth did not significantly improve the model.Conclusion: We successfully validated CT-based HRFs for detection of LR after SBRT for early-stage NSCLC. As an alternative to number of HRFs, we propose a simplified model with the combination of the 2 best HRFs: bulging margin and craniocaudal growth, although validation is warranted. [ABSTRACT FROM AUTHOR]

Large variation regarding prescription and dose inhomogeneity exists in stereotactic body radiation therapy (SBRT) for early-stage non-small cell lung cancer. The aim of this modeling study was to identify which dose metric correlates best with local tumor control probability to make recommendations regarding SBRT prescription. We combined 2 retrospective databases of patients with non-small cell lung cancer, yielding 1500 SBRT treatments for analysis. Three dose parameters were converted to biologically effective doses (BEDs): (1) the (near-minimum) dose prescribed to the planning target volume (PTV) periphery (yielding BED min); (2) the (near-maximum) dose absorbed by 1% of the PTV (yielding BED max); and (3) the average between near-minimum and near-maximum doses (yielding BED ave). These BED parameters were then correlated to the risk of local recurrence through Cox regression. Furthermore, BED-based prediction of local recurrence was attempted by logistic regression and fast and frugal trees. Models were compared using the Akaike information criterion. There were 1500 treatments in 1434 patients; 117 tumors recurred locally. Actuarial local control rates at 12 and 36 months were 96.8% (95% confidence interval, 95.8%-97.8%) and 89.0% (87.0%-91.1%), respectively. In univariable Cox regression, BED ave was the best predictor of risk of local recurrence, and a model based on BED min had substantially less evidential support. In univariable logistic regression, the model based on BED ave also performed best. Multivariable classification using fast and frugal trees revealed BED max to be the most important predictor, followed by BED ave. BED ave was generally better correlated with tumor control probability than either BED max or BED min. Because the average between near-minimum and near-maximum doses was highly correlated to the mean gross tumor volume dose, the latter may be used as a prescription target. More emphasis could be placed on achieving sufficiently high mean doses within the gross tumor volume rather than the PTV covering dose, a concept needing further validation. [ABSTRACT FROM AUTHOR]

Purpose: Stereotactic body radiation therapy has been associated with increased toxicity when delivered to patients with early-stage non-small cell lung cancer with a tumor within 2 cm of the proximal bronchial tree (PBT). We investigated noncancer deaths for these patients as related to gross tumor volume (GTV) proximity to the PBT, compared with peripheral tumors.Methods and Materials: We included 765 patients with early-stage non-small cell lung cancer who were treated with stereotactic body radiation therapy to a median of 3 × 18 Gy. Central tumors were treated with a risk-adapted (less-intense) schedule (mostly 8 fractions) in 55% of the patients in the first-centimeter group and 27% of the patients in the second-centimeter group. An average anatomy with contouring of PBT and organs at risk (OARs) was deformed onto each patient to obtain the distance of the GTV to the PBT and doses to OARs. Log-rank, 1-way analysis of variance, and Cox regressions were performed to assess differences in the first-centimeter, second centimeter, and peripheral groups and associations with noncancer deaths.Results: The median overall survival was 42.7 months, the median noncancer death occurred in 57.3 months, and the median follow-up was 34.8 months. Noncancer death in the first-centimeter group (31 patients) was significantly different from noncancer death in the other groups, with a hazard ratio of 3.175 (P < .001). Noncancer death in the second-centimeter group (71 patients) was not different from noncancer death in the peripheral group (P = .53). Doses to OARs were higher in the first- and second-centimeter groups than in the peripheral group for all OARs. High dose to the PBT was associated with noncancer death (D1%; hazard ratio, 1.006 Gy-1; P = .003).Conclusions: Patients with a GTV in the first centimeter surrounding the PBT died more often from causes other than cancer compared with other patients. Noncancer death in patients with a GTV in the second centimeter, who partly received a risk-adapted schedule, was comparable to that in patients with a peripheral tumor. [ABSTRACT FROM AUTHOR]

Purpose: To determine the safety and efficacy of lung stereotactic body radiation therapy (SBRT) in octo- and nonagenarians and to compare their outcomes with those of younger patients.Methods and Materials: Patients with primary lung cancer treated with SBRT were identified from a multi-institutional (5 institutions) database of 1083 cases. Details of patient factors, treatment specifics, toxicity, and clinical outcomes were extracted from the database. All events were calculated from the end of radiation therapy. Estimates of local recurrence, regional recurrence, and distant metastases were calculated using the competing risk method. Cause-specific survival (CSS) and overall survival (OS) were calculated using the Kaplan-Meier method. Outcomes were compared for those aged <70, 70 to 79, and ≥80 years. Univariable and multivariable analyses were performed to determine associations with CSS and OS in patients aged ≥80 years.Results: The median (range) follow-up was 1.7 (1-10) years, and median age was 75 (41-94) years. There were 305 patients aged <70 years (28%), 448 aged 70 to 79 years (41%), and 330 aged ≥80 years (30%). There was no difference in 2-year local recurrence (4.2% vs 5.4% vs 3.7%, respectively, P=.7), regional recurrence (10.4% vs 7.8% vs 5.3%, P=.1), distant metastases (12.2% vs 7.7% vs 9.5%, P=.2), or CSS (90.6% vs 90.3% vs 90.4%, P=.6). Those aged ≥80 years had significantly lower 2-year OS (73.6% vs 67.2% vs 63.3%, P<.01). The grade 3+ pneumonitis rate was 1.3% versus 1.6% versus 1.5% (P=1.0) in patients aged <70, 70 to 79, and ≥80 years, respectively. The 90-day mortality rates for patients aged <70, 70 to 79, and ≥80 years were 1.3%, 2.5%, and 2.4% (P=.01), respectively. In patients aged ≥80 years OS was associated with T category (hazard ratio 1.7; P<.01).Conclusion: Stereotactic body radiation therapy is a safe treatment modality in elderly patients (aged ≥80 years). Despite larger tumor volumes, the tumor control outcomes were comparable to those in younger patients treated with SBRT. All patients with early-stage lung cancer, regardless of age, should be considered for treatment with SBRT. [ABSTRACT FROM AUTHOR]

Background: Large variation regarding prescription and dose inhomogeneity exists in stereotactic body radiation therapy (SBRT) for early-stage non-small cell lung cancer. The aim of this modeling study was to identify which dose metric correlates best with local tumor control probability to make recommendations regarding SBRT prescription.Methods and Materials: We combined 2 retrospective databases of patients with non-small cell lung cancer, yielding 1500 SBRT treatments for analysis. Three dose parameters were converted to biologically effective doses (BEDs): (1) the (near-minimum) dose prescribed to the planning target volume (PTV) periphery (yielding BEDmin); (2) the (near-maximum) dose absorbed by 1% of the PTV (yielding BEDmax); and (3) the average between near-minimum and near-maximum doses (yielding BEDave). These BED parameters were then correlated to the risk of local recurrence through Cox regression. Furthermore, BED-based prediction of local recurrence was attempted by logistic regression and fast and frugal trees. Models were compared using the Akaike information criterion.Results: There were 1500 treatments in 1434 patients; 117 tumors recurred locally. Actuarial local control rates at 12 and 36 months were 96.8% (95% confidence interval, 95.8%-97.8%) and 89.0% (87.0%-91.1%), respectively. In univariable Cox regression, BEDave was the best predictor of risk of local recurrence, and a model based on BEDmin had substantially less evidential support. In univariable logistic regression, the model based on BEDave also performed best. Multivariable classification using fast and frugal trees revealed BEDmax to be the most important predictor, followed by BEDave.Conclusions: BEDave was generally better correlated with tumor control probability than either BEDmax or BEDmin. Because the average between near-minimum and near-maximum doses was highly correlated to the mean gross tumor volume dose, the latter may be used as a prescription target. More emphasis could be placed on achieving sufficiently high mean doses within the gross tumor volume rather than the PTV covering dose, a concept needing further validation. [ABSTRACT FROM AUTHOR]