Comparison of 4 tests' utility for predicting need for emergency department care in patients with alcohol-related complaints.

INTRODUCTION: Intoxication is a common presenting complaint in emergency departments (ED), but many patients with intoxication do not need emergency care. Three screens (BLINDED, Brown, and San Francisco) attempt to determine which intoxicated patients can be triaged to a lower level of care. METHODS: Observational multi-center cohort study of patients presenting to one of three ED with complaints consistent with acute intoxication. When a qualifying patient was brought to the emergency department, a team member interviewed the triaging provider. Interviews covered all three screens and the provider's gestalt. Receiver operating curve (ROC) analysis was used to determine which screen performed best. Cases were reviewed to determine need for emergency care. RESULTS: Of the 199 subjects studied, 91% (181/199) were male and were 50 years old on average (SD = 12 years). Of the 55 subjects tested (28%), their average alcohol level was 251 mg/dL (SD = 146 mg/dL). Only 117 subjects (59%) had complete information for inclusion in the final comparison of screens. Provider gestalt performed best (AUC = 0.69), but there were no meaningful differences between any of the screens (AUC = 0.62-0.66, p > 0.05 for all comparisons). Inability to sit up was sensitive for needing emergent care (88%), but it was non-specific (17%). Similarly, signs of trauma were specific (99%) for ED care, but insensitive (18%). CONCLUSIONS: The three formal screens and provider gestalt performed similarly.

PET/CT Biomarkers Enable Risk Stratification of Patients with Relapsed/Refractory Diffuse Large B-cell Lymphoma Enrolled in the LOTIS-2 Clinical Trial.

PURPOSE: Significant progress has occurred in developing quantitative PET/CT biomarkers in diffuse large B-cell lymphoma (DLBCL). Total metabolic tumor volume (MTV) is the most extensively studied, enabling assessment of FDG-avid tumor burden associated with outcomes. However, prior studies evaluated the outcome of cytotoxic chemotherapy or chimeric antigen receptor T-cell therapy without data on recently approved FDA agents. Therefore, we aimed to assess the prognosis of PET/CT biomarkers in patients treated with loncastuximab tesirine. EXPERIMENTAL DESIGN: We centrally reviewed screening PET/CT scans of patients with relapsed/refractory DLBCL enrolled in the LOTIS-2 (NCT03589469) study. MTV was obtained by computing individual volumes using the SUV ≥4.0 threshold. Other PET/CT metrics, clinical factors, and the International Metabolic Prognostic Index (IMPI) were evaluated. Logistic regression was used to assess the association between biomarkers and treatment response. Cox regression was used to determine the effect of biomarkers on time-to-event outcomes. We estimated biomarker prediction as continuous and binary variables defined by cutoff points. RESULTS: Across 138 patients included in this study, MTV with a cutoff point of 96 mL was the biomarker associated with the highest predictive performance in univariable and multivariable models to predict failure to achieve complete metabolic response (OR, 5.42; P = 0.002), progression-free survival (HR, 2.68; P = 0.002), and overall survival (HR, 3.09; P < 0.0001). IMPI demonstrated an appropriate performance, however, not better than MTV alone. CONCLUSIONS: Pretreatment MTV demonstrated robust risk stratification, with those patients demonstrating high MTV achieving lower responses and survival to loncastuximab tesirine in relapsed/refractory DLBCL.

Effect of a dedicated PI-QUAL curriculum on the assessment of prostate MRI quality.

PURPOSE: The Prostate Imaging Quality (PI-QUAL) score is a metric to evaluate the diagnostic quality of multiparametric magnetic resonance imaging (MRI) of the prostate. This study evaluated the impact of a prostate MRI quality training lecture on the participant's ability to assess prostate MRI image quality. METHODS: Eighteen in-training-radiologists of varying experience in reviewing diagnostic prostate MRI assessed the image quality of ten examinations. Then, they attended a dedicated lecture on MRI quality assessment using the PI-QUAL score. After the lecture, the same participants evaluated the image quality of a new set of ten scans applying the PI-QUAL score. Results were assessed using receiver operating characteristic (ROC) analysis. The reference standard was the PI-QUAL score assessed by a fellowship trained abdominal radiologist with experience in reading prostate MRI. RESULTS: There was a significant improvement in the average area under the curve (AUC) for assessment of prostate MRI image quality from baseline (0.82; [0.576 - 0.888]) to post teaching (1.0; [0.954-1]), with an improvement of 0.18 (p < 0.03). When ROC curves were computed for different cohorts stratified based on year of training, difference ranged from 0.48 for second year residents to 0.32 for fourth year residents (p < 0.001-0.01). For abdominal imaging fellows, the pre-teaching AUC was 0.9 [0.557-1] and post teaching AUC was 1 [0.957-1], a difference of 0.1 (p = 0.20). CONCLUSIONS: A dedicated lecture on PI-QUAL improved the ability of radiologists-in-training to assess prostate MRI image quality, with variable impact depending on year of training.