Tailored concept for the plastic closure of pelvic defects resulting from extralevator abdominoperineal excision (ELAPE) or pelvic exenteration.

PURPOSE: No standard exists for reconstruction after extralevator abdominoperineal excision (ELAPE) and pelvic exenteration. We propose a tailored concept with the use of bilateral gluteal V-Y advancement flaps in non-extended ELAPE and with vertical myocutaneous rectus abdominis muscle (VRAM) flaps in extended procedures. This retrospective study analyzes the feasibility of this concept. PATIENTS AND METHODS: We retrieved all consecutive patients after ELAPE or pelvic exenteration for rectal, anal, or vulva cancer with flap repair from a prospective database. Perineal wound complications were defined as the primary endpoint. Outcomes for the two different flap reconstructions were analyzed. RESULTS: From 2005 to 2021, we identified 107 patients who met the study criteria. Four patients underwent exenteration with VRAM flap repair after previous V-Y flap fashioning. Therefore, we report on 75 V-Y and 36 VRAM flaps. The V-Y group contained more rectal carcinomas, and the VRAM group exhibited more patients with recurrent cancer, more multivisceral resections, and longer operation times. Perineal wound complications occurred in 21.3% in the V-Y group and in 36.1% in the VRAM group (p = 0.097). Adjusted odds ratio for perineal wound complication was not significantly different for the two flap types. CONCLUSION: Concerning perineal wound complications, our concept yields favorable results for V-Y flap closure indicating that this less invasive approach is sufficient for non-extended ELAPE. Advantages are a shorter operation time, less donor site morbidity, and the option of a second repair. VRAM flaps were reserved for larger wounds after pelvic exenteration or vaginal repair.

Decision Conflicts in Clinical Care during COVID-19: A Patient Perspective.

(1) Background: Uncertainty is typical for a pandemic or similar healthcare crisis. This affects patients with resulting decisional conflicts and disturbed shared decision making during their treatment occurring to a very different extent. Sociodemographic factors and the individual perception of pandemic-related problems likely determine this decisional dilemma for patients and can characterize vulnerable groups with special susceptibility for decisional problems and related consequences. (2) Methods: Cross-sectional data from the OnCoVID questionnaire study were used involving 540 patients from 11 participating institutions covering all major regions in Germany. Participants were actively involved in clinical treatment in oncology or psychiatry during the COVID-19 pandemic. Questionnaires covered five decision dimensions (conflicts and uncertainty, resources, risk perception, perception of consequences for clinical processes, perception of consequences for patients) and very basic demographic data (age, gender, stage of treatment and educational background). Decision uncertainties and distress were operationalized using equidistant five-point scales. Data analysis was performed using descriptive and various multivariate approaches. (3) Results: A total of 11.5% of all patients described intensive uncertainty in their clinical decisions that was significantly correlated with anxiety, depression, loneliness and stress. Younger and female patients and those of higher educational status and treatment stage had the highest values for these stressors (p < 0.001). Only 15.3% of the patients (14.9% oncology, 16.2% psychiatry; p = 0.021) considered the additional risk of COVID-19 infections as very important for their disease-related decisions. Regression analysis identified determinants for patients at risk of a decisional dilemma, including information availability, educational level, age group and requirement of treatment decision making. (4) Conclusions: In patients, the COVID-19 pandemic induced specific decisional uncertainty and distress accompanied by intensified stress and psychological disturbances. Determinants of specific vulnerability were related to female sex, younger age, education level, disease stages and perception of pandemic-related treatment modifications, whereas availability of sufficient pandemic-related information prevented these problems. The most important decisional criteria for patients under these conditions were expected side effects/complications and treatment responses.

[Low anterior resection syndrome-Causes and treatment approaches]. / "Low anterior resection syndrome" ­ Ursachen und therapeutische Ansätze.

BACKGROUND: With improvement of the oncological prognosis and more sphincter-preserving procedures for rectal cancer of the lower third, the functional sequelae of anterior rectal resection become more and more predominant and are summarized under the term low anterior resection syndrome (LARS). MATERIAL AND METHODS: In this narrative review the causes, associated factors, prevalence, diagnostics and treatment strategies are presented based on an evaluation of the international literature. RESULTS: The central role of the rectum in the physiology of defecation and continence explains the frequency of symptoms following anterior rectal resection. In an unselected patient population a major LARS is to be expected in approximately 40% and a minor LARS in approximately 20%. The most important factor is the length of the remaining rectal stump. The diagnosis of LARS is made clinically and can be quantified by scores, especially by the LARS score. Treatment options range from patient counselling to stoma construction and a symptom-related, stepwise approach is generally accepted. CONCLUSION: While the evidence for the causes, the quantification and determination of associated factors of LARS is good, the treatment options are based either on experience or on only few studies.

Association of certification, improved quality and better oncological outcomes for rectal cancer in a specialized colorectal unit.

PURPOSE: Centralization of cancer care is expected to yield superior results. In Germany, the national strategy is based on a voluntary certification process. The effect of centre certification is difficult to prove because quality data are rarely available prior to certification. This observational study aims to assess outcomes for rectal cancer patients before and after implementation of a certified cancer centre. PATIENTS AND METHODS: All consecutive patients treated for rectal cancer in our certified centre from 2009 to 2017 were retrieved from a prospective database. The dataset was analyzed according to a predefined set of 19 quality indicators comprising 36 quality goals. The results were compared to an identical cohort of patients, treated from 2000 to 2008 just before centre implementation. RESULTS: In total, 1059 patients were included, 481 in the 2009-2017 interval and 578 in the 2000-2008 interval. From 2009 to 2017, 25 of 36 quality goals were achieved (vs. 19/36). The proportion of anastomotic leaks in low anastomoses was improved (13.5% vs. 22.1%, p = 0.018), as was the local 5-year recurrence rate for stage (y)pIII rectal cancers (7.7% vs. 17.8%, p = 0.085), and quality of mesorectal excision (0.3% incomplete resections vs. 5.5%, p = 0.002). Furthermore, a decrease of abdominoperineal excisions was noted (47.1% vs. 60.0%, p = 0.037). For the 2009-2017 interval, local 5-year recurrence rate in stages (y)p0-III was 4.6% and 5-year overall survival was 80.2%. CONCLUSIONS: Certification as specialized centre and regular audits were associated with an improvement of various quality parameters. The formal certification process has the potential to enhance quality of care for rectal cancer patients.

Video-based surgical skill assessment using 3D convolutional neural networks.

PURPOSE: A profound education of novice surgeons is crucial to ensure that surgical interventions are effective and safe. One important aspect is the teaching of technical skills for minimally invasive or robot-assisted procedures. This includes the objective and preferably automatic assessment of surgical skill. Recent studies presented good results for automatic, objective skill evaluation by collecting and analyzing motion data such as trajectories of surgical instruments. However, obtaining the motion data generally requires additional equipment for instrument tracking or the availability of a robotic surgery system to capture kinematic data. In contrast, we investigate a method for automatic, objective skill assessment that requires video data only. This has the advantage that video can be collected effortlessly during minimally invasive and robot-assisted training scenarios. METHODS: Our method builds on recent advances in deep learning-based video classification. Specifically, we propose to use an inflated 3D ConvNet to classify snippets, i.e., stacks of a few consecutive frames, extracted from surgical video. The network is extended into a temporal segment network during training. RESULTS: We evaluate the method on the publicly available JIGSAWS dataset, which consists of recordings of basic robot-assisted surgery tasks performed on a dry lab bench-top model. Our approach achieves high skill classification accuracies ranging from 95.1 to 100.0%. CONCLUSIONS: Our results demonstrate the feasibility of deep learning-based assessment of technical skill from surgical video. Notably, the 3D ConvNet is able to learn meaningful patterns directly from the data, alleviating the need for manual feature engineering. Further evaluation will require more annotated data for training and testing.

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data.

PURPOSE: The course of surgical procedures is often unpredictable, making it difficult to estimate the duration of procedures beforehand. This uncertainty makes scheduling surgical procedures a difficult task. A context-aware method that analyses the workflow of an intervention online and automatically predicts the remaining duration would alleviate these problems. As basis for such an estimate, information regarding the current state of the intervention is a requirement. METHODS: Today, the operating room contains a diverse range of sensors. During laparoscopic interventions, the endoscopic video stream is an ideal source of such information. Extracting quantitative information from the video is challenging though, due to its high dimensionality. Other surgical devices (e.g., insufflator, lights, etc.) provide data streams which are, in contrast to the video stream, more compact and easier to quantify. Though whether such streams offer sufficient information for estimating the duration of surgery is uncertain. In this paper, we propose and compare methods, based on convolutional neural networks, for continuously predicting the duration of laparoscopic interventions based on unlabeled data, such as from endoscopic image and surgical device streams. RESULTS: The methods are evaluated on 80 recorded laparoscopic interventions of various types, for which surgical device data and the endoscopic video streams are available. Here the combined method performs best with an overall average error of 37% and an average halftime error of approximately 28%. CONCLUSION: In this paper, we present, to our knowledge, the first approach for online procedure duration prediction using unlabeled endoscopic video data and surgical device data in a laparoscopic setting. Furthermore, we show that a method incorporating both vision and device data performs better than methods based only on vision, while methods only based on tool usage and surgical device data perform poorly, showing the importance of the visual channel.

Active learning using deep Bayesian networks for surgical workflow analysis.

PURPOSE: For many applications in the field of computer-assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical workflow analysis are a prerequisite. Often machine learning-based approaches serve as basis for analyzing the surgical workflow. In general, machine learning algorithms, such as convolutional neural networks (CNN), require large amounts of labeled data. While data is often available in abundance, many tasks in surgical workflow analysis need annotations by domain experts, making it difficult to obtain a sufficient amount of annotations. METHODS: The aim of using active learning to train a machine learning model is to reduce the annotation effort. Active learning methods determine which unlabeled data points would provide the most information according to some metric, such as prediction uncertainty. Experts will then be asked to only annotate these data points. The model is then retrained with the new data and used to select further data for annotation. Recently, active learning has been applied to CNN by means of deep Bayesian networks (DBN). These networks make it possible to assign uncertainties to predictions. In this paper, we present a DBN-based active learning approach adapted for image-based surgical workflow analysis task. Furthermore, by using a recurrent architecture, we extend this network to video-based surgical workflow analysis. To decide which data points should be labeled next, we explore and compare different metrics for expressing uncertainty. RESULTS: We evaluate these approaches and compare different metrics on the Cholec80 dataset by performing instrument presence detection and surgical phase segmentation. Here we are able to show that using a DBN-based active learning approach for selecting what data points to annotate next can significantly outperform a baseline based on randomly selecting data points. In particular, metrics such as entropy and variation ratio perform consistently on the different tasks. CONCLUSION: We show that using DBN-based active learning strategies make it possible to selectively annotate data, thereby reducing the required amount of labeled training in surgical workflow-related tasks.

[Establishment of Multidimensional Structured Training Curriculum in Surgery]. / Etablierung eines multidimensionalen, strukturierten Weiterbildungscurriculums in der Chirurgie.

In Germany, medical education is defined and controlled by the medical association; however hospitals are responsible for its implementation. Surgical trainees do not only need to acquire theoretical knowledge, but also practical skills. For years, young surgeons were trained primarily in the operating theatre. Nowadays, ethical concerns as well as time and budget limitations and legislated restrictions on surgeons' working hours argue for modern training concepts. Therefore, we have developed a training curriculum to ensure a structured surgical education. A standardised surgical education leading to well-trained surgeons can improve the satisfaction of young surgical trainees, increase the safety of patients and optimise clinical efficacy. The acceptance of standardised surgical education and its implementation within the surgeons' working hours is an important task for the future.

[Outpatient Drain Management in Patients with Clinically Relevant Postoperative Pancreatic Fistula (CR-POPF) - Current Status in Germany]. / Ambulantes Drainagemanagement bei Patienten mit klinisch relevanter Pankreasfistel ­ eine nationale Erhebung.

INTRODUCTION: Postoperative pancreatic fistula (POPF) is a common complication after pancreatic surgery and is associated with extended hospitalisation, increased medical costs, and reduced quality of life. The aim of the present study was to assess the treatment of POPF in Germany, with a special focus on outpatient drain management in patients with clinically relevant POPF (CR-POPF). METHODS: A questionnaire evaluating postoperative management once a CR-POPF is diagnosed - especially focusing on ambulatory drain management - was developed and sent to 211 German hospitals performing > 12 pancreatic operations per year. Statistical analysis was carried out using SPSS 21. RESULTS: The final response rate was 62% (n = 131). Outpatient drainage management is performed by most of the responding hospitals (n = 100, 76.3%). However, 30% of hospitals (n = 40) perform outpatient treatment only in 5% of their cases with clinically relevant POPF. There was no correlation between case load of the pancreatic centres and frequency of outpatient drain management. In general, discharge criteria for patients with drained POPF (n = 98, 74.8%), the drain management itself (n = 95, 72.5%) and criteria for drain removal (n = 74, 56.5%) are not standardised but made individually. In centres with standardised drain management criteria for drain removal, these criteria were drain volume < 20 ml (29.8%), no fluid collection (25.2%), no elevation of drain amylase/lipase (25.2%) and no specific symptoms (22.1%). CONCLUSION: This is the first survey in Germany evaluating outpatient drain management in patients with CR-POPF. Although the data in the literature are rare, the majority of German pancreatic surgeons perform outpatient drain management. However, discharge criteria, outpatient care and drain removal are standardised in only the minority of centres. Therefore, we recommend the evaluation of discharge criteria and a management algorithm for patients with drained CR-POPF to improve the perioperative course.

[Surgical Training in the Final Year of Medical Studies in Germany - Status Quo 2017]. / Das chirurgische Tertial im praktischen Jahr ­ Status quo 2017.

In Germany, medical students in their final year will work in hospitals or medical offices to gain clinical experience. The final year is designed to prepare medical students for their work as junior doctors. It is divided into three parts and includes internal medicine and general surgery as mandatory parts. Many students develop enthusiasm or lack of enthusiasm while working in specific disciplines and often apply for jobs based on their experience in their final year. Despite the importance of this educational phase, the 36 medical faculties have implemented several different curricula and there is significant heterogeneity. There is no consistent nation-wide structure of the final year in Germany. General Surgery with its many subdiscplines is a central subject of the final year. We conducted a national survey to assess the educational structure of the final year in Germany. The survey demonstrated the significant heterogeneity of medical education provided by different medical schools. Acquisition of surgical knowledge is not guaranteed with the current structure and the anticipated knowledge gap of future doctors is worrying. We therefore recommend nation-wide consistent education for medical students in their final year, in order to ensure a solid and broad knowledge of general surgery.

MicroRNA Profiling Implies New Markers of Gemcitabine Chemoresistance in Mutant p53 Pancreatic Ductal Adenocarcinoma.

BACKGROUND: No reliable predictors of susceptibility to gemcitabine chemotherapy exist in pancreatic ductal adenocarcinoma (PDAC). MicroRNAs (miR) are epigenetic gene regulators with tumorsuppressive or oncogenic roles in various carcinomas. This study assesses chemoresistant PDAC for its specific miR expression pattern. METHODS: Gemcitabine-resistant variants of two mutant p53 human PDAC cell lines were established. Survival rates were analyzed by cytotoxicity and apoptosis assays. Expression of 1733 human miRs was investigated by microarray and validated by qRT-PCR. After in-silico analysis of specific target genes and proteins of dysregulated miRs, expression of MRP-1, Bcl-2, mutant p53, and CDK1 was quantified by Western blot. RESULTS: Both established PDAC clones showed a significant resistance to gemcitabine (p<0.02) with low apoptosis rate (p<0.001) vs. parental cells. MiR-screening revealed significantly upregulated (miR-21, miR-99a, miR-100, miR-125b, miR-138, miR-210) and downregulated miRs (miR-31*, miR-330, miR-378) in chemoresistant PDAC (p<0.05). Bioinformatic analysis suggested involvement of these miRs in pathways controlling cell death and cycle. MRP-1 (p<0.02) and Bcl-2 (p<0.003) were significantly overexpressed in both resistant cell clones and mutant p53 (p = 0.023) in one clone. CONCLUSION: Consistent miR expression profiles, in part regulated by mutant TP53 gene, were identified in gemcitabine-resistant PDAC with significant MRP-1 and Bcl-2 overexpression. These results provide a basis for further elucidation of chemoresistance mechanisms and therapeutic approaches to overcome chemoresistance in PDAC.

Staged resection of bilobar colorectal liver metastases: surgical strategies.

BACKGROUND: Radical resection is the treatment of choice for colorectal liver metastases (CLM). Unfortunately, only about 20 % of patients present with initially resectable disease, in most cases due to bilobar disease. In the last two decades, major achievements have been made to extend surgical indications to patients with bilobar CLM, such as two-stage hepatectomy with or without portal vein occlusion and associating liver partition and portal vein ligation for staged hepatectomy (ALPPS). PURPOSE: The purpose of this review article was to summarize current surgical approaches and their safety and efficacy for patients with initially unresectable bilobar CLM. CONCLUSION: In selected patients, two-stage hepatectomy and ALPPS are efficient and safe to convert unresectable to resectable CLM. Further studies are required to evaluate long-term outcome of these procedures.

CXCR4/CXCL12 participate in extravasation of metastasizing breast cancer cells within the liver in a rat model.

INTRODUCTION: Organ-specific composition of extracellular matrix proteins (ECM) is a determinant of metastatic host organ involvement. The chemokine CXCL12 and its receptor CXCR4 play important roles in the colonization of human breast cancer cells to their metastatic target organs. In this study, we investigated the effects of chemokine stimulation on adhesion and migration of different human breast cancer cell lines in vivo and in vitro with particular focus on the liver as a major metastatic site in breast cancer. METHODS: Time lapse microscopy, in vitro adhesion and migration assays were performed under CXCL12 stimulation. Activation of small GTPases showed chemokine receptor signalling dependence from ECM components. The initial events of hepatic colonisation of MDA-MB-231 and MDA-MB-468 cells were investigated by intravital microscopy of the liver in a rat model and under shRNA inhibition of CXCR4. RESULTS: In vitro, stimulation with CXCL12 induced increased chemotactic cell motility (p<0.05). This effect was dependent on adhesive substrates (type I collagen, fibronectin and laminin) and induced different responses in small GTPases, such as RhoA and Rac-1 activation, and changes in cell morphology. In addition, binding to various ECM components caused redistribution of chemokine receptors at tumour cell surfaces. In vivo, blocking CXCR4 decreased extravasation of highly metastatic MDA-MB-231 cells (p<0.05), but initial cell adhesion within the liver sinusoids was not affected. In contrast, the less metastatic MDA-MB-468 cells showed reduced cell adhesion but similar migration within the hepatic microcirculation. CONCLUSION: Chemokine-induced extravasation of breast cancer cells along specific ECM components appears to be an important regulator but not a rate-limiting factor of their metastatic organ colonization.

A typical presentation of a rare cause of obscure gastrointestinal bleeding.

A 52-year-old white woman had suffered from intermittent gastrointestinal (GI) bleeding for one year. Upper GI endoscopy, colonoscopy and peroral double-balloon enteroscopy (DBE) did not detect any bleeding source, suggesting obscure GI bleeding. However, in videocapsule endoscopy a jejunal ulceration without bleeding signs was suspected and this was endoscopically confirmed by another peroral DBE. After transfusion of packed red blood cells, the patient was discharged from our hospital in good general condition. Two weeks later she was readmitted because of another episode of acute bleeding. Multi-detector row computed tomography with 3D reconstruction was performed revealing a jejunal tumor causing lower gastrointestinal bleeding. The patient underwent exploratory laparotomy with partial jejunal resection and end-to-end jejunostomy for reconstruction. Histological examination of the specimen confirmed the diagnosis of a low risk gastrointestinal stromal tumor (GIST). Nine days after surgery the patient was discharged in good health. No signs of gastrointestinal rebleeding occurred in a follow-up of eight months. We herein describe the complex presentation and course of this patient with GIST and also review the current approach to treatment.