Direct Peritoneal Resuscitation (DPR) Improves Acute Physiology and Chronic Health Evaluation (APACHE) IV and Acute Physiology Score When Used in Damage Control Laparotomies: Prospective Cohort Study on 37 Patients.

INTRODUCTION: Using direct peritoneal resuscitation (DPR) as an adjunct when managing patients undergoing damage control laparotomy (DCL) shows promising results. We report our initial experience in utilizing DPR when managing patients who underwent DCL for emergent surgery at the index operation. MATERIALS AND METHODS: We prospectively collected data on 37 patients between August 2020 to October 2021 who underwent DCL with open abdomens after the index operation and utilized DPR. DPR was performed using peritoneal lavage with DIANEAL PD-2-D 2.5% Ca 3.5 mEq/L at a rate of 400ml/hour. Patients' physiological scores and clinical outcomes were evaluated. RESULTS: 86% required DCL and DPR due to septic abdomen/bowel ischemia. The median (interquartile range [IQR]) age was 62 years (53-70); 62% were male, and median (IQR) body mass index was 30.0kg/m2 (25.5-38.4). On DPR initiation, median (IQR) APACHE-IV score was 48 (33-64) and median (IQR) Acute Physiology Score (APS) was 31 (18-54). After initiation, median (IQR) APACHE-IV score and median (IQR) APS were 39 (21-62) and 19 (11-56), respectively, and both showed significant improvement in survivors (p<0.05). Median (IQR) DPR duration was four days (2-8) and primary abdominal closure was achieved in 30 patients (81%). There were eight mortalities (21.6%) within 30 days postoperatively, of which seven were within 3-24 days due to uncontrolled sepsis/multiple organ failure. The most frequent complication was surgical-site infection recorded in 12 patients (32%). Twenty-four patients (67%) were discharged home/transferred to a rehab center/nursing home. CONCLUSION: DPR application showed significant improvement of APACHE-IV score and APS in patients with peritonitis/septic abdomen.

Electronic Cigarettes: Common Questions and Answers.

Electronic cigarettes (e-cigarettes) are popular devices designed to heat a liquid solution, often containing nicotine, that generates an inhaled aerosol, or vapor. e-Cigarettes have been marketed as healthier alternatives to traditional cigarettes. Thus, most adult users are current or former smokers who use e-cigarettes to reduce or quit cigarette smoking. Switching completely from cigarettes to e-cigarettes is associated with reduced toxicant exposure and reduced short-term respiratory symptoms; however, long-term health effects of e-cigarettes are unknown. Although a recent randomized trial suggests that e-cigarettes may promote smoking cessation, systematic reviews have had low certainty of evidence regarding cessation. e-Cigarettes pose several potential health risks, including exposure to heavy metals and toxicants, and nicotine poisoning. e-Cigarettes are also popular among youth, with rates of e-cigarette use surpassing those of cigarette use in this population. Youth e-cigarette use is associated with increased risk of subsequent cigarette and marijuana use. Screening for e-cigarette use in youth and adults, including pregnant women, in conjunction with screening for tobacco use, is advised. Education and interventions to prevent e-cigarette use should be provided to all youth. Youth should be counseled to stop using nicotine/tobacco products, including e-cigarettes. Although the impact of e-cigarette use in pregnancy is unknown, nicotine is a teratogen; thus, pregnant women should be counseled to abstain from using all nicotine/tobacco products.

Automated robot-assisted surgical skill evaluation: Predictive analytics approach.

BACKGROUND: Surgical skill assessment has predominantly been a subjective task. Recently, technological advances such as robot-assisted surgery have created great opportunities for objective surgical evaluation. In this paper, we introduce a predictive framework for objective skill assessment based on movement trajectory data. Our aim is to build a classification framework to automatically evaluate the performance of surgeons with different levels of expertise. METHODS: Eight global movement features are extracted from movement trajectory data captured by a da Vinci robot for surgeons with two levels of expertise - novice and expert. Three classification methods - k-nearest neighbours, logistic regression and support vector machines - are applied. RESULTS: The result shows that the proposed framework can classify surgeons' expertise as novice or expert with an accuracy of 82.3% for knot tying and 89.9% for a suturing task. CONCLUSION: This study demonstrates and evaluates the ability of machine learning methods to automatically classify expert and novice surgeons using global movement features.

Future Supply of Pediatric Surgeons: Analytical Study of the Current and Projected Supply of Pediatric Surgeons in the Context of a Rapidly Changing Process for Specialty and Subspecialty Training.

OBJECTIVE: To describe the future supply and demand for pediatric surgeons using a physician supply model to determine what the future supply of pediatric surgeons will be over the next decade and a half and to compare that projected supply with potential indicators of demand and the growth of other subspecialties. BACKGROUND: Anticipating the supply of physicians and surgeons in the future has met with varying levels of success. However, there remains a need to anticipate supply given the rapid growth of specialty and subspecialty fellowships. This analysis is intended to support decision making on the size of future fellowships in pediatric surgery. METHODS: The model used in the study is an adaptation of the FutureDocs physician supply and need tool developed to anticipate future supply and need for all physician specialties. Data from national inventories of physicians by specialty, age, sex, activity, and location are combined with data from residency and fellowship programs and accrediting bodies in an agent-based or microsimulation projection model that considers movement into and among specialties. Exits from practice and the geographic distribution of physician and the patient population are also included in the model. Three scenarios for the annual entry into pediatric surgery fellowships (28, 34, and 56) are modeled and their effects on supply through 2030 are presented. RESULTS: The FutureDocs model predicts a very rapid growth of the supply of surgeons who treat pediatric patients-including general pediatric surgeon and focused subspecialties. The supply of all pediatric surgeons will grow relatively rapidly through 2030 under current conditions. That growth is much faster than the rate of growth of the pediatric population. The volume of complex surgical cases will likely match this population growth rate meaning there will be many more surgeons trained for those procedures. The current entry rate into pediatric surgery fellowships (34 per year) will result in a slowing of growth after 2025, a rate of 56 will generate a continued growth through 2030 with a likely plateau after 2035. CONCLUSIONS: The rate of entry into pediatric surgery will continue to exceed population growth through 2030 under two likely scenarios. The very rapid anticipated growth in focused pediatric subspecialties will likely prove challenging to surgeons wishing to maintain their skills with complex cases as a larger and more diverse group of surgeons will also seek to care for many of the conditions and patients which the general pediatric surgeons and general surgeons now see. This means controlling the numbers of pediatric surgery fellowships in a way that recognizes problems with distribution, the volume of cases available to maintain proficiency, and the dynamics of retirement and shifts into other specialty practice.

Distance-based time series classification approach for task recognition with application in surgical robot autonomy.

BACKGROUND: Robotic-assisted surgery allows surgeons to perform many types of complex operations with greater precision than is possible with conventional surgery. Despite these advantages, in current systems, a surgeon should communicate with the device directly and manually. To allow the robot to adjust parameters such as camera position, the system needs to know automatically what task the surgeon is performing. METHODS: A distance-based time series classification framework has been developed which measures dynamic time warping distance between temporal trajectory data of robot arms and classifies surgical tasks and gestures using a k-nearest neighbor algorithm. RESULTS: Results on real robotic surgery data show that the proposed framework outperformed state-of-the-art methods by up to 9% across three tasks and by 8% across gestures. CONCLUSION: The proposed framework is robust and accurate. Therefore, it can be used to develop adaptive control systems that will be more responsive to surgeons' needs by identifying next movements of the surgeon. Copyright © 2016 John Wiley & Sons, Ltd.

Understanding the Operative Experience of the Practicing Pediatric Surgeon: Implications for Training and Maintaining Competency.

IMPORTANCE: The number of practicing pediatric surgeons has increased rapidly in the past 4 decades, without a significant increase in the incidence of rare diseases specific to the field. Maintenance of competency in the index procedures for these rare diseases is essential to the future of the profession. OBJECTIVE: To describe the demographic characteristics and operative experiences of practicing pediatric surgeons using Pediatric Surgery Board recertification case log data. DESIGN, SETTING, AND PARTICIPANTS: We performed a retrospective review of 5 years of pediatric surgery certification renewal applications submitted to the Pediatric Surgery Board between 2009 and 2013. A surgeon's location was defined by population as urban, large rural, small rural, or isolated. Case log data were examined to determine case volume by category and type of procedures. Surgeons were categorized according to recertification at 10, 20, or 30 years. MAIN OUTCOME AND MEASURE: Number of index cases during the preceding year. RESULTS: Of 308 recertifying pediatric surgeons, 249 (80.8%) were men, and 143 (46.4%) were 46 to 55 years of age. Most of the pediatric surgeons (304 of 308 [98.7%]) practiced in urban areas (ie, with a population >50 000 people). All recertifying applicants were clinically active. An appendectomy was the most commonly performed procedure (with a mean [SD] number of 49.3 [35.0] procedures per year), nonoperative trauma management came in second (with 20.0 [33.0] procedures per year), and inguinal hernia repair for children younger than 6 months of age came in third (with 14.7 [13.8] procedures per year). In 6 of 10 "rare" pediatric surgery cases, the mean number of procedures was less than 2. Of 308 surgeons, 193 (62.7%) had performed a neuroblastoma resection, 170 (55.2%) a kidney tumor resection, and 123 (39.9%) an operation to treat biliary atresia or choledochal cyst in the preceding year. Laparoscopy was more frequently performed in the 10-year recertification group for Nissen fundoplication, appendectomy, splenectomy, gastrostomy/jejunostomy, orchidopexy, and cholecystectomy (P < .05) but not lung resection (P = .70). It was more frequently used by surgeons recertifying in the 10-year group (used in 11 375 of 14 456 procedures [78.7%]) than by surgeons recertifying in the 20-year (used in 6214 of 8712 procedures [71.3%]) or 30-year group (used in 2022 of 3805 procedures [53.1%]). CONCLUSIONS AND RELEVANCE: Practicing pediatric surgeons receive limited exposure to index cases after training. With regard to maintaining competency in an era in which health care outcomes have become increasingly important, these results are concerning.

The surgeon and the child.

For many reasons pediatric surgeons have been asked to do all general and thoracic procedures in children. The profession has responded by training more, but the core of special cases requiring pediatric surgical expertise has not changed, and there is concern that the many surgeons now in training will not each do enough cases to attain and maintain operative expertise. This presentation examines the psychological, educational, and surgical literature on the development of expertise, especially operative expertise. From this I conclude that individual surgeon volume when gained in deliberate practice with a coach and with effort is essential, and that several technologies hold promise for allowing deliberate practice in simulation environments. I propose that in order to avoid a decline in pediatric surgical operative expertise we must reorganize pediatric surgical training and practice to align with Optimal Resources for Children's Surgery and the evolution of training in general surgery.

Task analysis of laparoscopic camera control schemes.

BACKGROUND: Minimally invasive surgeries rely on laparoscopic camera views to guide the procedure. Traditionally, an expert surgical assistant operates the camera. In some cases, a robotic system is used to help position the camera, but the surgeon is required to direct all movements of the system. Some prior research has focused on developing automated robotic camera control systems, but that work has been limited to rudimentary control schemes due to a lack of understanding of how the camera should be moved for different surgical tasks. METHODS: This research used task analysis with a sample of eight expert surgeons to discover and document several salient methods of camera control and their related task contexts. RESULTS: Desired camera placements and behaviours were established for two common surgical subtasks (suturing and knot tying). CONCLUSION: The results can be used to develop better robotic control algorithms that will be more responsive to surgeons' needs. Copyright © 2015 John Wiley & Sons, Ltd.

Raman spectroscopy in the diagnosis of ulcerative colitis.

INTRODUCTION: At present, the diagnosis of ulcerative colitis (UC) requires the histologic demonstration of characteristic mucosal inflammatory changes. A rapid and noninvasive diagnosis would be of value, especially if it could be adapted to a simple rectal probe. Raman spectroscopy creates a molecular fingerprint of substances by detecting laser light scattered from asymmetric, vibrating, and chemical bonds. We hypothesize that Raman spectroscopy can distinguish UC from non-UC colon tissue rapidly and accurately. MATERIALS AND METHODS: Colon tissue specimens were obtained from patients operated at the Children's Hospital of Michigan, United States, including UC colon and non-UC colon. The samples were examined with a Renishaw inVia Raman microscope (Gloucestershire, United Kingdom) with a 785 nm laser. Principal component analysis and discriminant function analysis were used to classify groups. Final classification was evaluated against histologic diagnoses using leave-one-out cross-validation at a spectral level. RESULTS: We compared Raman spectroscopy examination of colon specimens from four patients with UC and four patients without UC. A total of 801 spectra were recorded from colon specimens. We evaluated 100 spectra each from the mucosal and serosal surfaces of patients with UC and 260 spectra from the mucosal surface and 341 spectra from the serosal surface of the patients who did not have UC. For samples from the mucosal surface, the Raman analysis had a sensitivity of 82% and a specificity of 89%. For samples from the serosal surface, Raman spectroscopy had a sensitivity of 87% and a specificity of 93%. When considering each tissue sample and deciding the diagnosis based on the majority of spectra from that sample, there were no errors in the diagnosis. CONCLUSIONS: Raman spectroscopy can distinguish UC from normal colon tissue rapidly and accurately. This technology offers the possibility of real-time diagnosis as well as the ability to study changes in UC-afflicted colon tissue that do not appear histologically.

Referral to pediatric surgical specialists.

The American Academy of Pediatrics, with the collaboration of the Surgical Sections of the American Academy of Pediatrics, has created referral recommendations intended to serve as voluntary practice parameters to assist general pediatricians in determining when and to whom to refer their patients for pediatric surgical specialty care. It is recognized that these recommendations may be difficult to implement, because communities vary in terms of access to major pediatric medical centers. Limited access does not negate the value of the recommendations, however, because the child who needs specialized surgical and anesthetic care is best served by the skills of the appropriate pediatric surgical team. Major congenital anomalies, malignancies, major trauma, and chronic illnesses (including those associated with preterm birth) in infants and children should be managed by pediatric medical subspecialists and pediatric surgical specialists at pediatric referral centers that can provide expertise in many areas, including the pediatric medical subspecialties and surgical specialties of pediatric radiology, pediatric anesthesiology, pediatric pathology, and pediatric intensive care. The optimal management of the child with complex problems, chronic illness, or disabilities requires coordination, communication, and cooperation of the pediatric surgical specialist with the child's primary care pediatrician or physician.

Towards an autonomous robot for camera control during laparoscopic surgery.

INTRODUCTION: During laparoscopic surgery, the surgeon currently must instruct a human camera operator or a robotic arm to move the camera. This process is distracting, and the camera is not always placed in an ideal location. To mitigate these problems, we have developed a test platform that tracks laparoscopic instruments and automatically moves a camera with no explicit human direction. MATERIALS AND METHODS: The test platform is designed to mimic a typical laparoscopic working environment, where two hand-operated tools are manipulated through small ports. A pan-tilt-zoom camera is positioned over the tools, which emulates the positioning capabilities of a straight (0°) scope placed through a trocar. A camera control algorithm automatically keeps the tools in the view. In addition, two test tasks that require camera movement have been developed to aid in future evaluation of the system. RESULTS: The system was found to successfully track the laparoscopic instruments in the camera view as intended. The camera is moved and zoomed to follow the instruments in a smooth and consistent fashion. CONCLUSIONS: This technology shows that it is possible to create an autonomous camera system that cooperates with a surgeon without requiring any explicit user input. However, the currently implemented camera control behaviors are not ideal or sufficient for many surgical tasks. Future work will be performed to develop, test, and refine more complex behaviors that are optimized for different kinds of surgical tasks. In addition, portions of the test platform will be redesigned to enable its use in actual laparoscopic procedures.

The pediatric surgeon and the American Academy of Pediatrics (AAP): an important partnership for surgeons and children.

The American Academy of Pediatrics provided a home for pediatric surgery when organized surgery did not recognize the specialty. They have continued to support surgical specialties in their pursuit of quality in education, training and practice. The AAP has appropriate infrastructure to support advocacy at both the federal and state levels. The fact that it does not have a PAC, and that it always puts the child first, has given it great credibility. Much of the AAP infrastructure is already used by surgeons to advocate for their patients, but still more opportunities for collaboration are available.

Conclusions and data analysis: a 6-year study of Raman spectroscopy of solid tumors at a major pediatric institute.

PURPOSE: Create a Raman spectroscopic database with potential to diagnose cancer and investigate two different diagnostic methodologies. Raman spectroscopy measures the energy of photons scattered inelastically by molecules. These molecular signatures form the basis of identifying complex biomolecules and can be used to differentiate normal from neoplastic tissue. METHODS: 1,352 spectra from 55 specimens were collected from fresh or frozen normal brain, kidney and adrenal gland and their malignancies. Spectra were obtained utilizing a Renishaw Raman microscope (RM1000) at 785 nm excitation wavelength with an exposure time of 10 to 20 s/spectrum over three accumulations. Spectra were preprocessed and discriminant function analysis was used to classify spectra based on pathological gold standard. RESULTS: The results of leave 25 % out training/testing validation were as follows: 94.3 % accuracy for training and 91.5 % for testing adrenal, 95.1 % accuracy for training and 88.9 % for testing group of brain, and 100 % accuracy for kidney training/testing groups when tissue origin was assumed. A generalized database not assuming tissue origin provided 88 % training and 85.5 % testing accuracy. CONCLUSION: A database can be made from Raman spectra to classify and grade normal from cancerous tissue. This database has the potential for real time diagnosis of fresh tissue and can potentially be applied to the operating room in vivo.

Identification of pediatric brain neoplasms using Raman spectroscopy.

PURPOSE: Raman spectroscopy can quickly and accurately diagnose tissue in near real-time. This study evaluated the capacity of Raman spectroscopy to diagnose pediatric brain tumors. EXPERIMENTAL DESIGN: Samples of untreated pediatric medulloblastoma (4 samples and 4 patients), glioma (i.e. astrocytoma, oligodendroglioma, ependymoma, ganglioglioma and other gliomas; 27 samples and 19 patients), and normal brain samples (33 samples and 5 patients) were collected fresh from the operating room or from our frozen tumor bank. Samples were divided and tested using routine pathology and Raman spectroscopy. Twelve Raman spectra were collected per sample. Support vector machine analysis was used to classify spectra using the pathology diagnosis as the gold standard. RESULTS: Normal brain (321 spectra), glioma (246 spectra) and medulloblastoma (82 spectra) were identified with 96.9, 96.7 and 93.9% accuracy, respectively, when compared with each other. High-grade ependymomas (41 spectra) were differentiated from low-grade ependymomas (25 spectra) with 100% sensitivity and 96.0% specificity. Normal brain tissue was distinguished from low-grade glioma (118 spectra) with 91.5% sensitivity and 97.8% specificity. For these analyses, the tissue-level classification was determined to be 100% accurate. CONCLUSION: These results suggest Raman spectroscopy can accurately distinguish pediatric brain neoplasms from normal brain tissue, similar tumor types from each other and high-grade from low-grade tumors.

Clinical risk factors for gastroschisis and omphalocele in humans: a review of the literature.

Gastroschisis and omphalocele are usually considered together since they are both congenital abdominal wall defects, and yet their anatomy, embryogenesis, and clinical presentation and problems are quite different. In addition, it appears that the risk factors for their occurrence differ. Etiologic factors contributing to the development of these defects are unknown. To investigate this we have reviewed reports of risk factors for each anomaly and report them here. We conducted a literature search using PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) for risk factors implicated in the development of gastroschisis and omphalocele. The data reviewed here from clinical studies in the literature, closely parallels the data in animal studies which we reported earlier. There is little evidence for a genetic cause in the development of gastroschisis and much evidence supporting the possibility that environmental teratogens are important contributors to the development of this defect. On the other hand, in the case of omphalocele, there was little evidence for environmental factors and substantial data indicating that genetic or familial factors may play an important role.

Differentiation of small round blue cell tumors using Raman spectroscopy.

PURPOSE: Small round blue cell tumors (SRBCTs) are aggressive undifferentiated embryonal tumors, including neuroblastoma, rhabdomyosarcoma, Ewing sarcoma, and non-Hodgkin lymphoma. They share similar histologic features. Additional studies such as immunohistochemistry and molecular techniques are required to differentiate them. There is no widely available tool for real-time diagnosis. Raman spectroscopy is an analytical technique with potential for quick and accurate diagnosis of tumors in near real-time. METHODS: Fresh or banked frozen tissue samples from SRBCTs were processed for routine pathology and Raman spectroscopy. Raman results were correlated with the final pathology diagnosis. RESULTS: The data set was composed of 480 spectra from 32 samples, including 179 neuroblastoma, 37 Ewing sarcoma, 164 rhabdomyosarcoma, and 100 non-Hodgkin lymphoma spectra. Discriminant function analysis showed that a combination of 18 peaks could accurately identify 94% of spectra. At the tissue level, all tumors were correctly identified. Only 10 peaks were needed to classify all tissues with 100% accuracy. Spectral-level classification with this model was 87.9%. CONCLUSION: Raman spectroscopy is an accurate technique for quickly and accurately differentiating SRBCTs. It could diagnose these specimens and provide a single, easy to use test for near real-time diagnosis.

Human performance in the task of port placement for biosensor use.

BACKGROUND: We conducted a study of participants' abilities to place a laparoscopic port for in vivo biosensor use. Biosensors have physical limitations that make port placement crucial to proper data collection. A new port placement algorithm enabled evaluation of port locations, using segmented patient data in a virtual environment. METHODS: Port placement scoring algorithms were integrated into an image-guided surgery system. Virtual test scenes were created to evaluate various scenarios encountered during biosensor use. Participants were scored based on their ability to choose a port location from which points of interest could be scanned with a biosensor. Participants' scores were also compared to those of a port placement algorithm. RESULTS: The port placement algorithm consistently outscored participants by 10-25%. Participants were inconsistent from trial to trial and from participant to participant. CONCLUSION: Port placement for biosensor procedures could be improved through training or augmentation.

Teratogens inducing congenital abdominal wall defects in animal models.

Congenital abdominal wall defects are common anomalies which include gastroschisis, omphalocele and umbilical cord hernia. Recent reports indicate that gastroschisis is increasing in prevalence, whereas omphalocele has remained steady, suggesting that environmental factors may play a part in their pathogenesis. The aim of this study is to review animal teratogen studies resulting in abdominal wall defects to investigate their possible causes. Each report was examined not only for the teratogens causing the defects, but also to carefully identify the defect occurring and its correlation with the known clinical anomalies. We found many discrepancies between the nomenclature used by animal teratology investigators and that used by clinicians. We were able to confirm the induction of gastroschisis by 22 teratogens, omphalocele by 9 teratogens and umbilical cord hernia by 8. There is no doubt that environmental factors may be responsible, at least in part, for all three of the clinical abdominal wall defects. Future studies should take care to appreciate the differences between these anomalies and describe them in detail, so that accurate and meaningful conclusions can be obtained.

Diagnosis of Wilms' tumor using near-infrared Raman spectroscopy.

PURPOSE: Raman spectroscopy has distinguished malignant from normal tissues in several types of cancer. This is the first report of applying Raman spectroscopy to the diagnosis of Wilms' tumor. METHODS: Specimens of normal kidney, Wilms' tumor, xanthogranuloma, nephrogenic rests, and rhabdoid tumor were collected fresh from the operating room. Specimens of Wilms' tumor, normal kidney, and congenital mesoblastic nephroma were retrieved from the cryobank and thawed to room temperature. At least 12 Raman spectra were collected from each tissue sample. Histologic slides of each specimen were reviewed by pediatric pathologists. A computer algorithm based on discriminant function analysis (DFA) classified the Raman spectra of Wilms' tumor and the normal sample. RESULTS: Four hundred sixty-seven spectra were collected from 41 specimens. Using DFA, Raman spectroscopy differentiated Wilms' tumor from normal with 100% sensitivity and specificity and treated from untreated Wilms' tumor with 100% sensitivity and specificity. Using a DFA model built from cryopreserved specimens but applied to fresh Wilms' and normal samples, the sensitivity and specificity were 93.3% and 90.9%, respectively. CONCLUSION: Raman spectroscopy is an accurate technique for differentiating Wilms' tumor from normal kidney and treated from untreated Wilms' tumor. It has potential to diagnose in minutes what currently takes several hours to days.