Accuracy of cystatin C in prediction of acute kidney injury in children; serum or urine levels: which one works better? A systematic review and meta-analysis

Abstract Background There is still an ongoing discussion on the prognostic value of cystatin C in assessment of kidney function. Accordingly, the present study aimed to conduct a meta-analysis to provide evidence for the prognostic value of this biomarker for acute kidney injury (AKI) in children. Methods An extensive search was performed in electronic databases of Medline, Embase, ISI Web of Science, Cochrane library and Scopus until the end of 2015. Standardized mean difference (SMD) with a 95% of confidence interval (95% CI) and the prognostic performance characteristics of cystatin C in prediction of AKI were assessed. Analyses were stratified based on the sample in which the level of cystatin C was measured (serum vs. urine). Results A total of 24 articles were included in the meta-analysis [1948 children (1302 non-AKI children and 645 AKI cases)]. Serum (SMD = 0.96; 95% CI: 0.68-1.24; p < 0.0001) and urine (SMD = 0.54; 95% CI:0.34-0.75; p < 0.0001) levels of cystatin C were significantly higher in children with AKI. Overall area under the curve of serum cystatin C and urine cystatin C in prediction of AKI were 0.83 (95% CI: 0.80-0.86) and 0.85 (95% CI: 0.81-0.88), respectively. The best sensitivity (value = 0.85; 95% CI: 0.78-0.90) and specificity (value = 0.61; 95% CI: 0.48-0.73), were observed for the serum concentration of this protein and in the cut-off points between 0.4-1.0 mg/L. Conclusion The findings of the present study showed that cystatin C has an acceptable prognostic value for prediction of AKI in children. Since the serum level of cystatin C rises within the first 24 h of admission in patients with AKI, this biomarker can be a suitable alternative for traditional diagnostic measures

Radiofrequency Ablation of Subpleural Lung Malignancy: Reduced Pain Using an Artificially Created Pneumothorax

One of the main issues with radiofrequency (RF) ablation of the subpleural lung malignancy is pain management during and after RF ablation. In this article, we present a case that utilized a technique to decrease the pain associated with RF ablation of a malignancy located within the subpleural lung. Under CT guidance, we created an artificial pneumothorax prior to the RF ablation, which resulted in minimizing the pain usually experienced during and after the procedure. It also decreased the amount of pain medications usually used in patients undergoing RF ablation of a subpleural lung lesion

Transvertebral Cryoablation of a Paraesophageal Mass in a Patient with Metastatic Malignant Pleural Mesothelioma

Malignant pleural mesothelioma is a rare but aggressive cancer with limited treatment options. Percutaneous cryoablation is emerging as a promising treatment option for control of local recurrence and for palliative management of the disease-related symptoms. At times, recurrent malignant pleural mesothelioma is difficult to target as it can recur within the mediastinum and can be surrounded by vital organs and large vessels. This case report describes a challenging yet safe and successful transvertebral approach for percutaneous cryoablation of a paraesophageal mass for palliative treatment of a patient with single-site recurrent metastatic malignant pleural mesothelioma within the mediastinum

A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning.

Chronic obstructive pulmonary disease (COPD) is a common lung disease, and quantitative CT-based bronchial phenotypes are of increasing interest as a means of exploring COPD sub-phenotypes, establishing disease progression, and evaluating intervention outcomes. Reliable, fully automated, and accurate segmentation of pulmonary airway trees is critical to such exploration. We present a novel approach of multi-parametric freeze-and-grow (FG) propagation which starts with a conservative segmentation parameter and captures finer details through iterative parameter relaxation. First, a CT intensity-based FG algorithm is developed and applied for airway tree segmentation. A more efficient version is produced using deep learning methods generating airway lumen likelihood maps from CT images, which are input to the FG algorithm. Both CT intensity- and deep learning-based algorithms are fully automated, and their performance, in terms of repeat scan reproducibility, accuracy, and leakages, is evaluated and compared with results from several state-of-the-art methods including an industry-standard one, where segmentation results were manually reviewed and corrected. Both new algorithms show a reproducibility of 95% or higher for total lung capacity (TLC) repeat CT scans. Experiments on TLC CT scans from different imaging sites at standard and low radiation dosages show that both new algorithms outperform the other methods in terms of leakages and branch-level accuracy. Considering the performance and execution times, the deep learning-based FG algorithm is a fully automated option for large multi-site studies

Treatment with imatinib results in reduced IL-4-producing T cells, but increased CD4(+) T cells in the broncho-alveolar lavage of patients with systemic sclerosis.

T cells, particularly those producing IL-4, are implicated in inflammation-mediated fibrosis. In our phase I/IIa open-label pilot study in 15 patients with scleroderma-interstitial lung disease (SSc-ILD), high-dose imatinib treatment showed modest improvement in lung function and skin score, but with several adverse events. Here, we investigated T cell phenotype and cytokine production in bronchoalveolar lavage (BAL) from patients enrolled in this trial. We found that IL-4(+) T cells showed a stronger correlation with ground glass opacity (GGO) than fibrosis scores on lung high-resolution computer tomography scans. Frequencies of IL-4(+) T cells also discriminated patients with high (≥20) versus low (&lt;20) GGO scores. Functional annotation clustering of proteins that correlated with T cells identified two major clusters that belonged to immune/inflammatory and wounding response. Repeat analyses after 1 year of treatment in 10 BAL samples, one each from the right middle and lower lobes of lung from 5 patients, showed that post-imatinib, IL-4(+) T cells were profoundly reduced but CD4(+) T cells increased, except in one patient who showed worsening of SSc-ILD. Post-imatinib increase in CD4(+) T cells correlated with soluble ICAM-3 and PECAM-1 levels in BAL, which associated with the lack of worsening in SSc-ILD. Thus, imatinib might confer its therapeutic effect in fibrosis via re-directing T cell responses from type 2 to other, non-type 2 cytokine producing CD4(+) T cells

Salvage percutaneous high-dose-rate brachyablation after stereotactic body radiation therapy for early-stage non-small cell lung cancer.

Patients with primary tumor progression after stereotactic body radiation therapy (SBRT) for stage I non-small cell lung cancer (NSCLC) have a second chance at complete tumor eradication with salvage local therapies, including lung resection, repeat course of SBRT, and percutaneous ablative therapies. In this paper, we presented our institutions initial experience with percutaneous high-dose-rate (HDR) brachyablation for a relapsed stage I NSCLC that had been treated with SBRT 4.3 years earlier. Lung tumor measuring approximately 5 cm in maximum tumor dimension at the time of relapse was histopathologically confirmed to be persistent squamous cell carcinoma, and successfully treated with a single fraction of 24 Gy with HDR brachyablation. Treatment was delivered via two percutaneous catheters inserted under CT-guidance, and treated in less than 20 minutes. The patient was discharged home later the same day without the need for a chest tube, and has been monitored with serial surveillance scans every 3 to 6 months without evidence of further lung cancer progression or complications at 2.8 years post-HDR brachyablation procedure and 7.8 years after initial SBRT