Complications following fundoplication surgery for hiatal hernias are rare. Herein, we present the case of a 61-year-old woman who underwent a Nissen fundoplication, complicated by dysphagia, and a revision modified Toupet fundoplication for a hiatal hernia, after which she began to experience severe prandial referred left shoulder pain that was refractory to medical management. We hypothesized that a diaphragmatic suture placed during the revision fundoplication could be the source of the pain, and we elected to remove the suture, resulting in resolution of the pain. This pain remained resolved at the most recent follow-up on postoperative week six, and the patient had no further concerns.Significance Sepsis is a major public health concern, with high mortality and morbidity, especially among patients undergoing trauma. It is characterized by a systemic inflammatory response syndrome (SIRS) occurring in response to infection. Although classically associated with pathogens, many patients with SIRS do not have infection. The variability of the disease course cannot be fully explained by our current understanding of its pathogenesis. Thus, other factors are likely to play key roles in the development and progression of SIRS/sepsis. Recent Advances Circulating levels of damage-associated molecular patterns (DAMPs) seem to correlate with SIRS/sepsis morbidity and mortality. Of the known DAMPs, those of mitochondrial (mt) origin have been of particular interest, since their DNA (mtDNA) and formyl peptides (mtFPs) resemble bacterial DNA and peptides, and hence, when released, may be recognized as "danger signals." Critical Issues mtDAMPs released after tissue injury trigger immune responses similar to those induced by pathogens. Thus, they can result in systemic inflammation and organ damage, similar to that observed in SIRS/sepsis. We will discuss recent findings on the roles of mtDAMPs, particularly regarding the less recognized mtFPs, in the activation of inflammatory responses and development of SIRS/sepsis.  https://www.selleckchem.com/products/icg-001.html  Future Directions There are no established methods to predict the course of SIRS/sepsis, but clinical studies reveal that plasma levels of mtDAMPs may correlate with the outcome of the disease. We propose that non-pathogen-initiated, mtDAMPs-induced SIRS/sepsis events need further studies aimed at early clinical recognition and better treatment of this disease.Background Tumor enucleation technique in robot-assisted partial nephrectomy (RAPN) reportedly contributes to renal function preservation. Which tumors and which part to utilize this technique have not been determined. Patients and Methods This multi-institutional retrospective study included patients who underwent RAPN at tertiary surgery centers. Patients were first stratified into High, Intermediate, and Low categories based on renal nephrometry score. Patients were further classified into I/B-enucleation (I/B-E, I + B ≤ 1) and I/B-resection (I/B-R, I + B ≥ 2) groups based on surface-intermediate-base margin score. Perioperative outcomes, including percentile change in estimated glomerular filtration rate (eGFR), new-onset chronic kidney disease, complication rate, surgical margin, and trifecta achievement, were compared between the I/B-E and I/B-R groups in each category. Odds ratios (ORs) and β-coefficients were also compared. Results Overall, 704 patients were included in this study. Relative decrease iclusions I/B-enucleation in RAPN contributes to renal function preservation, and the impact was more emphasized in complex tumors.Background Renal cell carcinoma is the most common kidney cancer and the 13th most common cause of cancer death worldwide. Partial nephrectomy and percutaneous ablation, increasingly utilized to treat small renal masses and preserve renal parenchyma, require precise preoperative imaging interpretation. We sought to develop and evaluate a convolutional neural network (CNN), a type of deep learning artificial intelligence, to act as a surgical planning aid by determining renal tumor and kidney volumes via segmentation on single-phase computed tomography (CT). Materials and Methods After institutional review board approval, the CT images of 319 patients were retrospectively analyzed. Two distinct CNNs were developed for (1) bounding cube localization of the right and left hemi-abdomen and (2) segmentation of the renal parenchyma and tumor within each bounding cube. Training was performed on a randomly selected cohort of 269 patients. CNN performance was evaluated on a separate cohort of 50 patients using Sorensen-Dice coefficients (which measures the spatial overlap between the manually segmented and neural network derived segmentations) and Pearson correlation coefficients. Experiments were run on a GPU-optimized workstation with a single NVIDIA GeForce GTX Titan X (12GB, Maxwell architecture). Results Median Dice coefficients for kidney and tumor segmentation were 0.970 and 0.816, respectively; Pearson correlation coefficients between CNN-generated and human-annotated estimates for kidney and tumor volume were 0.998 and 0.993 (p less then 0.001), respectively. End-to-end trained CNNs were able to perform renal parenchyma and tumor segmentation on a new test case in an average of 5.6 seconds. Conclusions Initial experience with automated deep learning artificial intelligence demonstrates that it is capable of rapidly and accurately segmenting kidneys and renal tumors on single-phase contrast-enhanced CT scans and calculating tumor and renal volumes.A 40-year-old male with a right-sided neck mass was diagnosed with metastatic melanoma. A repeat positron-emission tomography after treatment with combination immunotherapy demonstrated increased hypermetabolic activity in the right supraclavicular, hilar, and mediastinal regions. Immunotherapy was discontinued and a BRAF/MEK inhibitor combination was started. Repeat imaging showed a decrease in size of the neck mass; however, hilar and mediastinal lymph nodes increased in size. A fine needle aspiration of mediastinal lymph nodes was consistent with a granulomatous process. A diagnosis of a sarcoid-like reaction (SLR) was made, and he was started on steroids. A follow-up positron emission tomography showed decreased hilar and mediastinal lymph node hypermetabolic activity. We, therefore, report this rare case of immunotherapy-induced SLR to the expanding literature on immunotherapy-related adverse effects and would like to highlight that SLR can occur in conjunction with disease progression making it challenging to distinguish between the two.