ABSTRACT
BACKGROUND AND PURPOSE: Ureteral stenosis (US) is a known complication from image-guided brachytherapy (IGBT); however, no dosimetric parameter has been associated with ureteral toxicity. We aimed to report the rate of late grade ≥3 US after MRI-based IGBT, and to identify clinical factors and dosimetric parameters predictive for US. MATERIALS AND METHODS: A retrospective review was performed on all cervical cancer patients treated with MRI-based IGBT between 2007 and 2017. Late grade ≥3 US was recorded according to CTCAE 4.03. The minimum dose to the maximally irradiated 0.1 cm3 of ureter (D0.1cm3) was extracted from dose-volume histograms. Binary logistic regression was performed to identify predictors of late grade ≥3 US. RESULTS: 242 patients with a median follow-up of 35.8 months (IQR, 19.2-60.8) were identified. Late grade ≥3 US occurred in 18 patients, and the actuarial 3-year rate was 7.3% (95% CI 3.3-11.3). After excluding patients with pre-existing hydronephrosis, late grade ≥3 US occurred in 11 patients with an actuarial 3-year rate of 4.4% (95% CI 1.7-7.1). Ureters with D0.1cm3 ≥77 Gy had a 28.6% incidence of late grade ≥3 US compared to 7.5% in those with D0.1cm3 <77 Gy (OR 2.39; 95% CI 1.23-4.65; p = 0.01). The incidence of late grade ≥3 US was 33.3%, and 40.0% for ureters receiving ≥85 and ≥90 Gy, to D0.1cm3, respectively. CONCLUSION: After MRI-based IGBT, there is an estimated 4.4% risk of developing late grade ≥3 US among patients without pre-existing hydronephrosis. Ureteral dose ≥77 Gy to D0.1cm3 correlates with development of late grade ≥3 US.
Subject(s)
Brachytherapy , Radiotherapy, Image-Guided , Uterine Cervical Neoplasms , Brachytherapy/adverse effects , Constriction, Pathologic , Female , Humans , Magnetic Resonance Imaging , Radiotherapy Dosage , Radiotherapy, Image-Guided/adverse effects , Retrospective Studies , Risk Factors , Uterine Cervical Neoplasms/radiotherapyABSTRACT
BACKGROUND: The TEACHH and Chow models were developed to predict life expectancy (LE) in patients evaluated for palliative radiotherapy (PRT). We sought to validate the TEACHH and Chow models in patients who died within 90 days of PRT consultation. METHODS: A retrospective review was conducted on patients evaluated for PRT from 2017 to 2019 who died within 90 days of consultation. Data were collected for the TEACHH and Chow models; one point was assigned for each adverse factor. TEACHH model included: primary site of disease, ECOG performance status, age, prior palliative chemotherapy courses, hospitalization within the last 3 months, and presence of hepatic metastases; patients with 0-1, 2-4, and 5-6 adverse factors were categorized into groups (A, B, and C). The Chow model included non-breast primary, site of metastases other than bone only, and KPS; patients with 0-1, 2, or 3 adverse factors were categorized into groups (I, II, and III). RESULTS: A total of 505 patients with a median overall survival of 2.1 months (IQR: 0.7-2.6) were identified. Based on the TEACHH model, 10 (2.0%), 387 (76.6%), and 108 (21.4%) patients were predicted to live >1 year, >3 months to ≤1 year, and ≤3 months, respectively. Utilizing the Chow model, 108 (21.4%), 250 (49.5%), and 147 (29.1%) patients were expected to live 15.0, 6.5, and 2.3 months, respectively. CONCLUSION: Neither the TEACHH nor Chow model correctly predict prognosis in a patient population with a survival <3 months. A better predictive tool is required to identify patients with short LE.
Subject(s)
Life Expectancy , Neoplasms/radiotherapy , Palliative Care/methods , Terminal Care/methods , Age Factors , Aged , Analysis of Variance , Bone Neoplasms/mortality , Bone Neoplasms/radiotherapy , Bone Neoplasms/secondary , Breast Neoplasms/mortality , Breast Neoplasms/radiotherapy , Female , Hospitalization , Humans , Karnofsky Performance Status , Liver Neoplasms/secondary , Lung Neoplasms/mortality , Lung Neoplasms/radiotherapy , Male , Models, Theoretical , Neoplasms/mortality , Prognosis , Prostatic Neoplasms/mortality , Prostatic Neoplasms/radiotherapy , Retrospective Studies , Risk FactorsABSTRACT
CONTEXT: At our institution, clinical pathways capture physicians' prognostication of patients being evaluated for palliative radiotherapy. We hypothesize a low utilization rate of long-course radiotherapy (LCRT) and stereotactic ablative radiotherapy (SAbR) among patients seen at the end of life, especially those with physician-predicted poor prognosis. OBJECTIVE: To analyze utilization rates and predictors of LCRT and SAbR at the end of life. METHODS: A retrospective review was conducted on patients who were evaluated for palliative radiotherapy between January 2017 and August 2019 and died within 90 days of consultation. Binary logistic regression was used to identify predictors for utilization of LCRT (≥10 fractions) and SAbR. RESULTS: A total of 1608 patients were identified, of which 1038 patients (64.6%) were predicted to die within a year. Six hundred ninety-three patients (66.8%) out of 1038 were prescribed LCRT or SAbR. On a multivariate analysis, patients were less likely to be prescribed LCRT if treated at an academic site (odds ratio [OR], 0.30; 95% confidence interval [CI], 0.23-0.39; P < 0.01) and treated for bone metastases (OR, 0.08; 95% CI, 0.05-0.11; P < 0.01) or other nonbrain/nonbone metastases (OR, 0.19; 95% CI, 0.13-0.30; P < 0.01). SAbR was less likely to be prescribed among patients predicted to die within a year (OR, 0.09; 95% CI, 0.06-0.16; P < 0.01), treated for bone metastases (OR, 0.13; 95% CI, 0.07-0.22; P < 0.01), with poor performance status (OR, 0.51; 95% CI, 0.31-0.85; P = 0.01), and with a breast primary (OR, 0.35; 95% CI, 0.15-0.82; P = 0.02). CONCLUSION: Although most patients were predicted to have a limited prognosis, LCRT and SAbR were commonly prescribed at the end of life.
