Pancreatic Anastomosis in Robotic-Assisted Pancreaticoduodenectomy: Different Surgical Techniques.

Robot-assisted pancreatoduodenectomy (R-PD) may provide challenges but potential benefits for pancreatic-enteric anastomosis fashioning. Despite numerous trials comparing different pancreatic-enteric anastomosis techniques, an ideal method is still missing. This study aims to describe different management strategies and surgical techniques of standardized pancreatic-enteric anastomoses during an R-PD. This study reported the robotic technical steps of the modified end-to-side Blumgart pancreaticojejunostomy, the Cattel-Warren duct-to-mucosa pancreatojejunostomy, with internal or external pancreatic duct stent, and the modified end-to-side, double-layer pancreogastrostomy. A dual-console da Vinci Xi Surgical System® (Intuitive Surgical Xi, Sunnyvale, CA) was used to perform all the R-PD. Different robotic pancreatic-enteric anastomosis techniques can be used during the reconstruction phase, possibly reproducing the open technique. The type of anastomosis and applied mitigation strategies should balance surgical strategy adaptability and operative technique standardization. R-PD should be performed in high-volume centers by surgeons with extensive experience in pancreatic and advanced MI surgery, enabling different but standardized anastomotic techniques based on patients' risk factors and intraoperative findings. Future studies on robotic pancreatic anastomosis should focus on personalized approaches after adequate risk stratification.

Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors.

Surgical resection is one of the most relevant practices in neurosurgery. Finding the correct surgical extent of the tumor is a key question and so far several techniques have been employed to assist the neurosurgeon in preserving the maximum amount of healthy tissue. Some of these methods are invasive for patients, not always allowing high precision in the detection of the tumor area. The aim of this study is to overcome these limitations, developing machine learning based models, relying on features obtained from a contactless and non-invasive technique, the thermal infrared (IR) imaging. The thermal IR videos of thirteen patients with heterogeneous tumors were recorded in the intraoperative context. Time (TD)- and frequency (FD)-domain features were extracted and fed different machine learning models. Models relying on FD features have proven to be the best solutions for the optimal detection of the tumor area (Average Accuracy = 90.45%; Average Sensitivity = 84.64%; Average Specificity = 93,74%). The obtained results highlight the possibility to accurately detect the tumor lesion boundary with a completely non-invasive, contactless, and portable technology, revealing thermal IR imaging as a very promising tool for the neurosurgeon.

Psychophysiological Assessment of Children with Cerebral Palsy during Robotic-Assisted Gait Training through Infrared Imaging.

Cerebral palsy (CP) is a non-progressive neurologic pathology representing a leading cause of spasticity and concerning gait impairments in children. Robotic-assisted gait training (RAGT) is widely employed to treat this pathology to improve children's gait pattern. Importantly, the effectiveness of the therapy is strictly related to the engagement of the patient in the rehabilitation process, which depends on his/her psychophysiological state. The aim of the study is to evaluate the psychophysiological condition of children with CP during RAGT through infrared thermography (IRT), which was acquired during three sessions in one month. A repeated measure ANOVA was performed (i.e., mean value, standard deviation, and sample entropy) extracted from the temperature time course collected over the nose and corrugator, which are known to be indicative of the psychophysiological state of the individual. Concerning the corrugator, significant differences were found for the sample entropy (F (1.477, 5.907) = 6.888; p = 0.033) and for the mean value (F (1.425, 5.7) = 5.88; p = 0.047). Regarding the nose tip, the sample entropy showed significant differences (F (1.134, 4.536) = 11.5; p = 0.041). The findings from this study suggests that this approach can be used to evaluate in a contactless manner the psychophysiological condition of the children with CP during RAGT, allowing to monitor their engagement to the therapy, increasing the benefits of the treatment.

The clinical and economic impact of surgical site infections after distal pancreatectomy.

BACKGROUND: The present study aimed to evaluate surgical site infections' clinical and economic impact after distal pancreatectomy. METHODS: The study was a prospective, monocentric, observational study, including all adult patients who underwent distal pancreatectomy. According to the American Centers for Disease Control and Prevention definition, the surgical site infection assessment was prospectively performed by trained personnel. The Accordion Severity Grading System was used to evaluate the clinical burden of surgical site infection. The hospitalization's total costs were calculated using the hospital expenditure report, excluding the intraoperative costs. RESULTS: During the study period, 414 distal pancreatectomies were performed. The overall incidence of surgical site infection was 26% (106 patients). Surgical site infections were associated with a higher body mass index (P = .022, odds ratio 1.2), positive preoperative rectal swab for multidrug resistant bacteria (P = .010, odds ratio 4.2), and increased operative time (P = .037, odds ratio 1.1). Using the Accordion Severity Grading System, surgical site infections contributed significantly to the total clinical burden (25.5%) and prolonged hospitalization (P < .001). Furthermore, surgical site infection doubled the costs (12.915 vs 6.888 euros, P < .001). CONCLUSION: Surgical site infection has a high clinical burden, negatively impacting the postoperative course. The costs and length of stay proportionally increased with the surgical site infection severity, doubling the hospitalization expenses.

Antibiotic Prophylaxis with Piperacillin-Tazobactam Reduces Post-Operative Infectious Complication after Pancreatic Surgery: An Interventional, Non-Randomized Study.

Background: This study aimed to evaluate the effectiveness of piperacillin-tazobactam as antibiotic prophylaxis in patients affected by a peri-ampullary tumor submitted to pancreatic surgery. Methods: A prospective, non-randomized, non-blinded, interventional study was conducted from January 2015 to March 2018. Patients were screened pre-operatively for Enterobacteriaceae producing extended-spectrum beta-lactamases (ESBL-PE). During the baseline period (January 2015-October 2016), surgical prophylaxis was performed with ampicillin-sulbactam. In the intervention phase (November 2016-March 2018), patients received piperacillin-tazobactam. Statistical analysis was performed by univariable and multivariable analysis with logistic regression models. Results: Overall, 383 patients were included in the baseline period and 296 in the intervention period. The surveillance strategy identified 47 ESBL-PE carriers (14%) in the baseline phase and 29 (10%) in the intervention phase. In the baseline period, the patients had a higher rate of hospital-acquired infection (43% versus 33%; p = 0.004), superficial surgical site infection (SSI) (11% versus 2%; p < 0.001), and pneumonia (16% versus 9%; p = 0.006). After the logistic regression, the baseline group had an odds ratio to develop superficial SSI and pneumonia of 7.7 (95% confidence interval [CI] 3-20) and 1.8 (95% CI 1-3.3), respectively. The ESBL colonization increased the mortality rate significantly (8% versus 3%; p = 0.017). Conclusions: Adopting antibiotic prophylaxis based on piperacillin-tazobactam is associated with a reduction in post-operative SSI, particularly superficial-SSIs. Further randomized studies would be warranted to evaluate this antibiotic combination more extensively in preventive strategies.

Multitarget, quantitative nanoplasmonic electrical field-enhanced resonating device (NE2RD) for diagnostics.

Recent advances in biosensing technologies present great potential for medical diagnostics, thus improving clinical decisions. However, creating a label-free general sensing platform capable of detecting multiple biotargets in various clinical specimens over a wide dynamic range, without lengthy sample-processing steps, remains a considerable challenge. In practice, these barriers prevent broad applications in clinics and at patients' homes. Here, we demonstrate the nanoplasmonic electrical field-enhanced resonating device (NE(2)RD), which addresses all these impediments on a single platform. The NE(2)RD employs an immunodetection assay to capture biotargets, and precisely measures spectral color changes by their wavelength and extinction intensity shifts in nanoparticles without prior sample labeling or preprocessing. We present through multiple examples, a label-free, quantitative, portable, multitarget platform by rapidly detecting various protein biomarkers, drugs, protein allergens, bacteria, eukaryotic cells, and distinct viruses. The linear dynamic range of NE(2)RD is five orders of magnitude broader than ELISA, with a sensitivity down to 400 fg/mL This range and sensitivity are achieved by self-assembling gold nanoparticles to generate hot spots on a 3D-oriented substrate for ultrasensitive measurements. We demonstrate that this precise platform handles multiple clinical samples such as whole blood, serum, and saliva without sample preprocessing under diverse conditions of temperature, pH, and ionic strength. The NE(2)RD's broad dynamic range, detection limit, and portability integrated with a disposable fluidic chip have broad applications, potentially enabling the transition toward precision medicine at the point-of-care or primary care settings and at patients' homes.