Safety and efficacy of embolotherapy for severe hemorrhage after partial nephrectomy.

BACKGROUND: Partial nephrectomy may be complicated by postoperative hemorrhage, which may be treated by transcatheter embolization. PURPOSE: To assess the safety and efficacy of embolotherapy for hemorrhagic complications of partial nephrectomy and to analyze the potential correlation between multiple bleeding sites on angiography and surgical complexity. MATERIAL AND METHODS: A cohort of 25 patients presenting with severe, postoperative bleeding after partial nephrectomy and treated with catheter-directed superselective embolization was included. Patients' demographics, radiological investigations before the embolization, and clinical outcome after embolization were analyzed. Mann-Whitney U test was used to analyze the potential difference in the RENAL score between patients with one or more bleeding sites in the resection area. RESULTS: Selective renal angiography revealed multiple bleeding sites at the resection bed in 8 (32%) patients with amorphous contrast extravasation in 10 (40%) patients. Embolization with use of a microcatheter and microcoils was effective to stop the bleeding in all but one patient, the latter requiring a second embolization two days later. Transient decrease in renal function was noted in 3/25 (12%) patients with full recovery in two of the three. Patients with multiple bleeding sites did not show significantly different RENAL scores compared to patients with a single bleeding site (P = 0.148). CONCLUSION: Embolotherapy for postoperative partial nephrectomy-related bleeding is safe and effective with a low rate of recurrent bleeding. The number of bleeding sites at the resection area did not correlate to the RENAL score.

Mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes (MELAS) syndrome mimicking herpes simplex encephalitis on imaging studies.

We present a case in which mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes syndrome mimicked the clinical and radiological signs of herpes simplex encephalitis. In a patient with subacute encephalopathy, on computed tomography and magnetic resonance imaging, lesions were present in both temporal lobes extending to both insular regions with sparing of the lentiform nuclei and in both posterior straight and cingulate gyri. Final diagnosis of mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes syndrome was based on biochemical investigations on cerebrospinal fluid, electromyogram, muscle biopsy, and genetic analysis. On diffusion-weighted imaging, diffusion restriction was present in some parts of the lesions but not throughout the entire lesions. We suggest that this could be an important sign in the differential diagnosis with herpes simplex encephalitis.

Accuracy and Reproducibility of Low-Dose Submillisievert Chest CT for the Diagnosis of COVID-19.

PURPOSE: To demonstrate the accuracy and reproducibility of low-dose submillisievert chest CT for the diagnosis of coronavirus disease 2019 (COVID-19) infection in patients in the emergency department. MATERIALS AND METHODS: This was a Health Insurance Portability and Accountability Act-compliant, institutional review board-approved retrospective study. From March 14 to 24, 2020, 192 patients in the emergency department with symptoms suggestive of COVID-19 infection were studied by using low-dose chest CT and real-time reverse transcription polymerase chain reaction (RT-PCR). Image analysis included the likelihood of COVID-19 infection and the semiquantitative extent of lung involvement. CT images were analyzed by two radiologists blinded to the RT-PCR results. Reproducibility was assessed using the McNemar test and intraclass correlation coefficient. Time between CT acquisition and report was measured. RESULTS: When compared with RT-PCR, low-dose submillisievert chest CT demonstrated excellent sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for diagnosis of COVID-19 (86.7%, 93.6%, 91.1%, 90.3%, and 90.2%, respectively), in particular in patients with clinical symptoms for more than 48 hours (95.6%, 93.2%, 91.5%, 96.5%, and 94.4%, respectively). In patients with a positive CT result, the likelihood of disease increased from 43.2% (pretest probability) to 91.1% or 91.4% (posttest probability), while in patients with a negative CT result, the likelihood of disease decreased to 9.6% or 3.7% for all patients or those with clinical symptoms for >48 hours. The prevalence of alternative diagnoses based on chest CT in patients without COVID-19 infection was 17.6%. The mean effective radiation dose was 0.56 mSv ± 0.25 (standard deviation). Median time between CT acquisition and report was 25 minutes (interquartile range: 13-49 minutes). Intra- and interreader reproducibility of CT was excellent (all intraclass correlation coefficients ≥ 0.95) without significant bias in the Bland-Altman analysis. CONCLUSION: Low-dose submillisievert chest CT allows for rapid, accurate, and reproducible assessment of COVID-19 infection in patients in the emergency department, in particular in patients with symptoms lasting longer than 48 hours. Chest CT has the additional advantage of offering alternative diagnoses in a significant subset of patients.© RSNA, 2020.

Prognostic Value and Reproducibility of AI-assisted Analysis of Lung Involvement in COVID-19 on Low-Dose Submillisievert Chest CT: Sample Size Implications for Clinical Trials.

PURPOSE: To compare the prognostic value and reproducibility of visual versus AI-assisted analysis of lung involvement on submillisievert low-dose chest CT in COVID-19 patients. MATERIALS AND METHODS: This was a HIPAA-compliant, institutional review board-approved retrospective study. From March 15 to June 1, 2020, 250 RT-PCR confirmed COVID-19 patients were studied with low-dose chest CT at admission. Visual and AI-assisted analysis of lung involvement was performed by using a semi-quantitative CT score and a quantitative percentage of lung involvement. Adverse outcome was defined as intensive care unit (ICU) admission or death. Cox regression analysis, Kaplan-Meier curves, and cross-validated receiver operating characteristic curve with area under the curve (AUROC) analysis was performed to compare model performance. Intraclass correlation coefficients (ICCs) and Bland- Altman analysis was used to assess intra- and interreader reproducibility. RESULTS: Adverse outcome occurred in 39 patients (11 deaths, 28 ICU admissions). AUC values from AI-assisted analysis were significantly higher than those from visual analysis for both semi-quantitative CT scores and percentages of lung involvement (all P<0.001). Intrareader and interreader agreement rates were significantly higher for AI-assisted analysis than visual analysis (all ICC ≥0.960 versus ≥0.885). AI-assisted variability for quantitative percentage of lung involvement was 17.2% (coefficient of variation) versus 34.7% for visual analysis. The sample size to detect a 5% change in lung involvement with 90% power and an α error of 0.05 was 250 patients with AI-assisted analysis and 1014 patients with visual analysis. CONCLUSION: AI-assisted analysis of lung involvement on submillisievert low-dose chest CT outperformed conventional visual analysis in predicting outcome in COVID-19 patients while reducing CT variability. Lung involvement on chest CT could be used as a reliable metric in future clinical trials.