13 research outputs found

    Minimally Invasive Surgery for the Treatment of Colorectal Cancer

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    Background: Reduction in operative trauma along with an improvement in endoscopic access has undoubtedly occupied surgical minds for at least the past 3 decades. It is not at all surprising that minimally invasive colon surgery has come a long way since the first laparoscopic appendectomy by Semm in 1981. It is common knowledge that the recent developments in video and robotic technologies have significantly furthered advancements in laparoscopic and minimally invasive surgery. This has led to the overall acceptance of the treatment of benign colorectal pathology via the endoscopic route. Malignant disease, however, is still primarily treated by conventional approaches. Methods and Results: This review article is based on a literature search pertaining to advances in minimally invasive colorectal surgery for the treatment of malignant pathology, as well as on personal experience in the field over the same period of time. Our search was limited to level I and II clinical papers only, according to the evidence-based medicine guidelines. We attempted to present our unbiased view on the subject relying only on the evidence available. Conclusion: Focusing on advances in colorectal minimally invasive surgery, it has to be stated that there are still a number of unanswered questions regarding the surgical management of malignant diseases with this approach. These questions do not only relate to the area of boundaries set for the use of minimally invasive techniques in this field but also to the exact modality best suited to the treatment of every particular case whilst maintaining state-of-the-art oncological principles. (C) 2016 S. Karger GmbH, Freibur

    Modification of internal hernia classification system after laparoscopic Roux-en-Y bariatric surgery

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    INTRODUCTION: The occurrence of internal hernia is not an uncommon late complication following the laparoscopic bariatric Roux-en-Y gastric bypass procedure. In some instances, it can be life threatening if not treated in a timely manner. Although there are numerous publications in the literature addressing internal hernia, they are mostly retrospective, and focus mainly on describing the different reconstructive orientation as far as the bowel is concerned. AIM: Our study aim is to address the relationship between the three basic elements of internal hernia, namely: intestinal mesentery defect, the involved intestine and herniated loop direction. Although a developed and widely accepted classification system of internal hernia has not been established yet, we hope this study can help the system to be established. MATERIAL AND METHODS: We studied all patients who underwent revision bariatric operations in the Freiburg and Lübeck University Hospitals (2007–2013). A single surgeon performed and documented all revision procedures for internal hernia. The post-operative follow-up period is up to 6 years. All patients with internal hernias were included whether their primary surgery was performed in our center or performed in other institutions, being referred to our center for further management. The presence of hernia defect, the type of herniated intestinal loop and the direction by which the herniated intestinal loop migrated were analyzed. RESULTS: Twenty-five patients with internal hernia were identified; in 2 patients more than one hernia type coexisted. The most frequent constellation of internal hernias was BP limb herniation into the Brolin space and migrating from left to right direction (28%). The highest incidence of internal hernia was found to be following Roux-en-Y gastric bypass (68%); the biliopancreatic limb (BP) limb was the most commonly involved intestine (51.9%). The incidence of Petersen hernia was the highest (59.3%), and left-right direction was more common. The most common hernia direction of the biliopancreatic limb was from left to right (92.6%), but alimentary limb (AL; 57.1%) and common channel (CC; 66.7%) often favor the other course. CONCLUSIONS: There are existing different types of internal hernias after bariatric operations including separate mesenterial spaces, various intestine parts and herniation direction. Our SDL classification system may offer a useful pathway that facilitates the understanding, and systematic approach to internal hernia, which can be used by bariatric quality registers

    A Novel Deep Learning Model as a Donor-Recipient Matching Tool to Predict Survival after Liver Transplantation

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    Background: The digital era in the field of medicine is the new here and now. Artificial intelligence has entered many fields of medicine and is recently emerging in the field of organ transplantation. Solid organs remain a scarce resource. Being able to predict the outcome after liver transplantation promises to solve one of the long-standing problems within organ transplantation. What is the perfect donor recipient match? Within this work we developed and validated a novel deep-learning-based donor-recipient allocation system for liver transplantation. Method: In this study we used data collected from all liver transplant patients between 2004 and 2019 at the university transplantation centre in Munich. We aimed to design a transparent and interpretable deep learning framework to predict the outcome after liver transplantation. An individually designed neural network was developed to meet the unique requirements of transplantation data. The metrics used to determine the model quality and its level of performance are accuracy, cross-entropy loss, and F1 score as well as AUC score. Results: A total of 529 transplantations with a total of 1058 matching donor and recipient observations were added into the database. The combined prediction of all outcome parameters was 95.8% accurate (cross-entropy loss of 0.042). The prediction of death within the hospital was 94.3% accurate (cross-entropy loss of 0.057). The overall F1 score was 0.899 on average, whereas the overall AUC score was 0.940. Conclusion: With the achieved results, the network serves as a reliable tool to predict survival. It adds new insight into the potential of deep learning to assist medical decisions. Especially in the field of transplantation, an AUC Score of 94% is very valuable. This neuronal network is unique as it utilizes transparent and easily interpretable data to predict the outcome after liver transplantation. Further validation must be performed prior to utilization in a clinical context

    Antioxidant Status in the Soleus Muscle of Sprague-Dawley Rats in Relation to Duodenal-Jejunal Omega Switch and Different Dietary Patterns

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    Background. Obesity and chronic ingestion of lipid-rich meals are related to an enhanced oxidative stress (OS). Aims. To examine the influence of duodenal-jejunal omega switch surgery in combination with different diets on the antioxidative status in the soleus muscle of rats. Methods. After 8 weeks on a high-fat diet (HF) or control diet (CD), rats underwent duodenal-jejunal omega switch (DJOS) or SHAM (control) surgery. After surgery, for the next 8 weeks, half of DJOS/SHAM animals were kept on the same diet as before, and half had a changed diet. The total superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione-S-transferase (GST), and glutathione reductase (GR) activity as well as malondialdehyde (MDA) concentration were measured in the soleus of rats. Results. CAT and GPx activity were significantly lower after DJOS surgery versus SHAM, regardless of the type of diet. The activity of CAT, SOD, GR, CuZnSOD, and GPx was altered in the CD/HF or HF/CD groups. After DJOS, the lowest muscle concentration of MDA was observed in the CD/CD group and the highest in CD/HF. Conclusions: DJOS surgery significantly decreases the antioxidative system in soleus muscles of rats. CD/HF and HF/CD dietary patterns lead to an increase in antioxidative activity, while remaining on unchanged diet (CD or HF) is associated with a reduced oxidative stress

    The cybernetic hospitals revolution in the age of artificial intelligence

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    AI can lead to better care outcomes and improve the productivity and efficiency of care delivery. It can also improve the day-to-day life of healthcare practitioners, letting them spend more time looking after patients and in so doing, raise staff morale and improve retention. It can even get life-saving treatments to market faster. At the same time, questions have been raised about the impact AI could have on patients, practitioners, and health systems, and about its potential risks; there are ethical debates around how AI and the data that underpins it should be used. This short article aims to contribute to the debate surrounding AI in Hospitals, specifically looking at how practitioners and organizations will be affected

    Smart operating room and surgery driven by artificial intelligence

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    From a surgical point of view, artificial intelligence (AI) does seem to be the holy grail of future medicine. Today data driven medicine influence also handwork - done with knifes, scissors, needles and sutures. Should a surgeon learn something about AI and data science? Big data, machine learning, NLP, video analysis and robotics will be a big part of modern surgery. Today’s operating robots like the Davinci already works with video analysis and machine learning. How AI will influence the OR of the future will be shown in this story. Please meet Dr. Smith. The surged of the future

    Impact of Ileal Transposition Surgical Intervention on Antioxidant Status Measured in Liver Tissue of Obese Zucker Rats (Crl:ZUC-Leprfa)

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    Background. The main factor characteristic for low-grade systemic inflammation typical for obesity is oxidative stress (OS). Reactive oxygen species (ROS) production is higher and more increased in time in the obese patients than in lean subjects. Aims. To assess the effect of ileal transposition (IT) and sham types of bariatric procedures on the antioxidative systems in the liver tissue of Zucker rats (Crl:ZUC Leprfa). Method. 21 animals were divided into the experimental groups: control group (n=7), sham group (n=7), and IT group (n=7). Sham and IT animals underwent selected surgery. The concentration of total antioxidant capacity (TAC), total antioxidant status (TOS), and activity of glutathione reductase (glutathione-disulfide reductase, GR, GSR), catalase (CAT), glutathione peroxidase (GPx), glutathione S-transferase (GST), and total superoxide dismutase activity (SOD) were assessed in liver tissue 3 months after surgery. Results. IT procedure significantly increased TAC when compared to sham and the control group. Animals after IT showed higher levels of TOS when compared to sham procedure. The total amount of TOS was similar in IT and control groups. GPx activity was increased in the groups submitted to the sham and IT surgery in relation to control. GR and CAT activities were significantly higher after IT in comparison to control and sham procedures. Total SOD and MnSOD were significantly higher in sham-operated animals in comparison to IT intervention and control groups. Conclusions. IT procedure had a positive impact on the diminishing of oxidative stress measured by TAC and TOS markers. The dynamic, adaptive, and protective mechanisms of enzymatic antioxidant systems were observed after the IT but not sham procedure. Nevertheless, 3 months after surgery, the midterm effect of bariatric surgery was observed, which might not fully balance the antioxidative response
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