Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases.

Analysis of bone marrow aspirates (BMAs) is an essential step in the diagnosis of hematological disorders. This analysis is usually performed based on a visual examination of samples under a conventional optical microscope, which involves a labor-intensive process, limited by clinical experience and subject to high observer variability. In this work, we present a comprehensive digital microscopy system that enables BMA analysis for cell type counting and differentiation in an efficient and objective manner. This system not only provides an accessible and simple method to digitize, store, and analyze BMA samples remotely but is also supported by an Artificial Intelligence (AI) pipeline that accelerates the differential cell counting process and reduces interobserver variability. It has been designed to integrate AI algorithms with the daily clinical routine and can be used in any regular hospital workflow.

Collaborative intelligence and gamification for on-line malaria species differentiation.

BACKGROUND: Current World Health Organization recommendations for the management of malaria include the need for a parasitological confirmation prior to triggering appropriate treatment. The use of rapid diagnostic tests (RDTs) for malaria has contributed to a better infection recognition and a more targeted treatment. Nevertheless, low-density infections and parasites that fail to produce HRP2 can cause false-negative RDT results. Microscopy has traditionally been the methodology most commonly used to quantify malaria and characterize the infecting species, but the wider use of this technique remains challenging, as it requires trained personnel and processing capacity. OBJECTIVE: In this study, the feasibility of an on-line system for remote malaria species identification and differentiation has been investigated by crowdsourcing the analysis of digitalized infected thin blood smears by non-expert observers using a mobile app. METHODS: An on-line videogame in which players learned how to differentiate the young trophozoite stage of the five Plasmodium species has been designed. Images were digitalized with a smartphone camera adapted to the ocular of a conventional light microscope. Images from infected red blood cells were cropped and puzzled into an on-line game. During the game, players had to decide the malaria species (Plasmodium falciparum, Plasmodium malariae, Plasmodium vivax, Plasmodium ovale, Plasmodium knowlesi) of the infected cells that were shown in the screen. After 2 months, each player's decisions were analysed individually and collectively. RESULTS: On-line volunteers playing the game made more than 500,000 assessments for species differentiation. Statistically, when the choice of several players was combined (n > 25), they were able to significantly discriminate Plasmodium species, reaching a level of accuracy of 99% for all species combinations, except for P. knowlesi (80%). Non-expert decisions on which Plasmodium species was shown in the screen were made in less than 3 s. CONCLUSION: These findings show that it is possible to train malaria-naïve non-experts to identify and differentiate malaria species in digitalized thin blood samples. Although the accuracy of a single player is not perfect, the combination of the responses of multiple casual gamers can achieve an accuracy that is within the range of the diagnostic accuracy made by a trained microscopist.

Plasmodium species differentiation by non-expert on-line volunteers for remote malaria field diagnosis.

BACKGROUND: Routine field diagnosis of malaria is a considerable challenge in rural and low resources endemic areas mainly due to lack of personnel, training and sample processing capacity. In addition, differential diagnosis of Plasmodium species has a high level of misdiagnosis. Real time remote microscopical diagnosis through on-line crowdsourcing platforms could be converted into an agile network to support diagnosis-based treatment and malaria control in low resources areas. This study explores whether accurate Plasmodium species identification-a critical step during the diagnosis protocol in order to choose the appropriate medication-is possible through the information provided by non-trained on-line volunteers. METHODS: 88 volunteers have performed a series of questionnaires over 110 images to differentiate species (Plasmodium falciparum, Plasmodium ovale, Plasmodium vivax, Plasmodium malariae, Plasmodium knowlesi) and parasite staging from thin blood smear images digitalized with a smartphone camera adapted to the ocular of a conventional light microscope. Visual cues evaluated in the surveys include texture and colour, parasite shape and red blood size. RESULTS: On-line volunteers are able to discriminate Plasmodium species (P. falciparum, P. malariae, P. vivax, P. ovale, P. knowlesi) and stages in thin-blood smears according to visual cues observed on digitalized images of parasitized red blood cells. Friendly textual descriptions of the visual cues and specialized malaria terminology is key for volunteers learning and efficiency. CONCLUSIONS: On-line volunteers with short-training are able to differentiate malaria parasite species and parasite stages from digitalized thin smears based on simple visual cues (shape, size, texture and colour). While the accuracy of a single on-line expert is far from perfect, a single parasite classification obtained by combining the opinions of multiple on-line volunteers over the same smear, could improve accuracy and reliability of Plasmodium species identification in remote malaria diagnosis.

Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy.

Filariasis, a neglected tropical disease caused by roundworms, is a significant public health concern in many tropical countries. Microscopic examination of blood samples can detect and differentiate parasite species, but it is time consuming and requires expert microscopists, a resource that is not always available. In this context, artificial intelligence (AI) can assist in the diagnosis of this disease by automatically detecting and differentiating microfilariae. In line with the target product profile for lymphatic filariasis as defined by the World Health Organization, we developed an edge AI system running on a smartphone whose camera is aligned with the ocular of an optical microscope that detects and differentiates filarias species in real time without the internet connection. Our object detection algorithm that uses the Single-Shot Detection (SSD) MobileNet V2 detection model was developed with 115 cases, 85 cases with 1903 fields of view and 3342 labels for model training, and 30 cases with 484 fields of view and 873 labels for model validation before clinical validation, is able to detect microfilariae at 10x magnification and distinguishes four species of them at 40x magnification: Loa loa, Mansonella perstans, Wuchereria bancrofti, and Brugia malayi. We validated our augmented microscopy system in the clinical environment by replicating the diagnostic workflow encompassed examinations at 10x and 40x with the assistance of the AI models analyzing 18 samples with the AI running on a middle range smartphone. It achieved an overall precision of 94.14%, recall of 91.90% and F1 score of 93.01% for the screening algorithm and 95.46%, 97.81% and 96.62% for the species differentiation algorithm respectively. This innovative solution has the potential to support filariasis diagnosis and monitoring, particularly in resource-limited settings where access to expert technicians and laboratory equipment is scarce.

Evaluation of the Performance of a 3D-Printed Smartphone-Based Retinal Imaging Device as a Screening Tool for Retinal Pathology in Mozambique.

Low-income countries carry approximately 90% of the global burden of visual impairment, and up to 80% of this could be prevented or cured. However, there are only a few studies on the prevalence of retinal disease in these countries. Easier access to retinal information would allow differential diagnosis and promote strategies to improve eye health, which are currently scarce. This pilot study aims to evaluate the functionality and usability of a tele-retinography system for the detection of retinal pathology, based on a low-cost portable retinal scanner, manufactured with 3D printing and controlled by a mobile phone with an application designed ad hoc. The study was conducted at the Manhiça Rural Hospital in Mozambique. General practitioners, with no specific knowledge of ophthalmology or previous use of retinography, performed digital retinographies on 104 hospitalized patients. The retinographies were acquired in video format, uploaded to a web platform, and reviewed centrally by two ophthalmologists, analyzing the image quality and the presence of retinal lesions. In our sample there was a high proportion of exudates and hemorrhages-8% and 4%, respectively. In addition, the presence of lesions was studied in patients with known underlying risk factors for retinal disease, such as HIV, diabetes, and/or hypertension. Our tele-retinography system based on a smartphone coupled with a simple and low-cost 3D printed device is easy to use by healthcare personnel without specialized ophthalmological knowledge and could be applied for the screening and initial diagnosis of retinal pathology.

Hematic Antegrade Repriming Reduces Emboli on Cardiopulmonary Bypass: A Randomized Controlled Trial.

Particulate and gaseous microemboli (GME) are side effects of cardiac surgery that interfere with postoperative recovery by causing endothelial dysfunction and vascular blockages. GME sources during surgery are multiple, and cardiopulmonary bypass (CPB) is contributory to this embolic load. Hematic antegrade repriming (HAR) is a novel procedure that combines the benefits of repriming techniques with additional measures, by following a standardized procedure to provide a reproducible hemodilution of 300 ml. To clarify the safety of HAR in terms of embolic load delivery, a prospective and controlled study was conducted, by applying Doppler probes to the extracorporeal circuit, to determine the number and volume of GME released during CPB. A sample of 115 patients (n = 115) was considered for assessment. Both groups were managed under strict normothermia, and similar clinical conditions and protocols, receiving the same open and minimized circuit. Significant differences in GME volume delivery (control group [CG] = 0.28 ml vs. HAR = 0.08 ml; p = 0.004) and high embolic volume exposure (>1 ml) were found between the groups (CG = 30.36% vs. HAR = 4.26%; p = 0.001). The application of HAR did not represent an additional embolic risk and provided a four-fold reduction in the embolic volume delivered to the patient (coefficient, 0.24; 95% CI, 0.08-0.72; p = 0.01), which appears to enhance GME clearance of the oxygenator before CPB initiation.

Minimally invasive surgery for valvular heart disease.

OPINION STATEMENT: Valvular heart disease imposes varying degrees of stress on the myocardium, which, untreated, leads to eventual ventricular dysfunction. The pathophysiologic mechanisms by which these lesions act depend not only on the affected valve, but also the degree to which they causes stenosis, regurgitation, or both. The goal of patient treatment is to identify and correct the defect before irreversible ventricular changes have occurred. Historically, the conventional surgical approach for valvular disease was via median sternotomy. Minimally invasive valve surgery (MIVS) refers to alternative surgical techniques, which avoid the trans-sternal approach. The objective is to (1) minimize surgical trauma, (2) reduce blood utilization, and (3) hasten postoperative convalesce. These goals are accomplished through the use of partial sternal, para-sternal, or thoracotomy incisions and can be adapted to robotic technologies. As with all evolving surgical techniques, the therapeutic aim of valve repair or replacement must be performed at or above the same standard of conventional surgery. Outcomes must not be sacrificed for the sake of better cosmesis. In addition, percutaneous catheter-based valvular interventions have seen rapid advances. These emerging technologies have dramatically broadened the therapeutic options, especially for an ever-increasing group of high-risk patients. As expected with all minimally invasive techniques, the major differences in the hard outcomes of mortality and major morbidity are seen in these highest risk groups. However, intermediate and low risk patients receive a tremendous benefit with regard to shortened hospital stay and quicker functional recovery. With the myriad of interventional options now available, the clinical challenge now is how best to individualize the treatment approach to a given patient providing the most durable result in order to alleviate symptoms and preserve myocardial function.

Remote analysis of sputum smears for mycobacterium tuberculosis quantification using digital crowdsourcing.

Worldwide, TB is one of the top 10 causes of death and the leading cause from a single infectious agent. Although the development and roll out of Xpert MTB/RIF has recently become a major breakthrough in the field of TB diagnosis, smear microscopy remains the most widely used method for TB diagnosis, especially in low- and middle-income countries. This research tests the feasibility of a crowdsourced approach to tuberculosis image analysis. In particular, we investigated whether anonymous volunteers with no prior experience would be able to count acid-fast bacilli in digitized images of sputum smears by playing an online game. Following this approach 1790 people identified the acid-fast bacilli present in 60 digitized images, the best overall performance was obtained with a specific number of combined analysis from different players and the performance was evaluated with the F1 score, sensitivity and positive predictive value, reaching values of 0.933, 0.968 and 0.91, respectively.

A Smartphone-Based Platform Assisted by Artificial Intelligence for Reading and Reporting Rapid Diagnostic Tests: Evaluation Study in SARS-CoV-2 Lateral Flow Immunoassays.

BACKGROUND: Rapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However, many results remain unreported or unconfirmed, altering a correct epidemiological surveillance. OBJECTIVE: Our aim was to evaluate an artificial intelligence-based smartphone app, connected to a cloud web platform, to automatically and objectively read RDT results and assess its impact on COVID-19 pandemic management. METHODS: Overall, 252 human sera were used to inoculate a total of 1165 RDTs for training and validation purposes. We then conducted two field studies to assess the performance on real-world scenarios by testing 172 antibody RDTs at two nursing homes and 96 antigen RDTs at one hospital emergency department. RESULTS: Field studies demonstrated high levels of sensitivity (100%) and specificity (94.4%, CI 92.8%-96.1%) for reading IgG band of COVID-19 antibody RDTs compared to visual readings from health workers. Sensitivity of detecting IgM test bands was 100%, and specificity was 95.8% (CI 94.3%-97.3%). All COVID-19 antigen RDTs were correctly read by the app. CONCLUSIONS: The proposed reading system is automatic, reducing variability and uncertainty associated with RDTs interpretation and can be used to read different RDT brands. The web platform serves as a real-time epidemiological tracking tool and facilitates reporting of positive RDTs to relevant health authorities.

First study of the Polycladida (Rhabditophora, Platyhelminthes) from the Pacific Coast of Costa Rica.

In the present work was carried out in the intertidal zone of Las Baulas de Guanacaste National Marine Park (PNMB) located on the Pacific coast of Costa Rica.                The main objective was to contribute to knowledge about the invertebrate diversity of the park, one of the richest bioregions on the planet, about which little is known. This study assesses the Order Polycladida Lang, 1884, a cornerstone of this ecosystem and one of the most cosmopolitan and plastic invertebrate taxa in the animal kingdom.                In total, 57 individuals were collected in the rocky intertidal zone of Carbón and Langosta beaches. Nine different species were identified, of which four are new for Costa Rica: Semonia bauliensis n. sp.; Cryptostylochus sesei n. sp.; Paraplanocera angeli n. sp., Prostheceraeus fitae n. sp.; and five new records: Paraplanocera oligoglena (Schmarda, 1859); Marcusia ernesti Hyman, 1953; Enchiridium magec Cuadrado, Moro Noreña, 2017; Pseudobiceros bajae (Hyman, 1953); and the genus Boninia spp.

Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.

Visual inspection of microscopic samples is still the gold standard diagnostic methodology for many global health diseases. Soil-transmitted helminth infection affects 1.5 billion people worldwide, and is the most prevalent disease among the Neglected Tropical Diseases. It is diagnosed by manual examination of stool samples by microscopy, which is a time-consuming task and requires trained personnel and high specialization. Artificial intelligence could automate this task making the diagnosis more accessible. Still, it needs a large amount of annotated training data coming from experts.In this work, we proposed the use of crowdsourced annotated medical images to train AI models (neural networks) for the detection of soil-transmitted helminthiasis in microscopy images from stool samples leveraging non-expert knowledge collected through playing a video game. We collected annotations made by both school-age children and adults, and we showed that, although the quality of crowdsourced annotations made by school-age children are sightly inferior than the ones made by adults, AI models trained on these crowdsourced annotations perform similarly (AUC of 0.928 and 0.939 respectively), and reach similar performance to the AI model trained on expert annotations (AUC of 0.932). We also showed the impact of the training sample size and continuous training on the performance of the AI models.In conclusion, the workflow proposed in this work combined collective and artificial intelligence for detecting soil-transmitted helminthiasis. Embedded within a digital health platform can be applied to any other medical image analysis task and contribute to reduce the burden of disease.

Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection.

Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropical diseases (NTDs). The Kato-Katz technique is the diagnosis method recommended by the World Health Organization (WHO) although it often presents a decreased sensitivity in low transmission settings and it is labour intensive. Visual reading of Kato-Katz preparations requires the samples to be analyzed in a short period of time since its preparation. Digitizing the samples could provide a solution which allows to store the samples in a digital database and perform remote analysis. Artificial intelligence (AI) methods based on digitized samples can support diagnosis by performing an objective and automatic quantification of disease infection. In this work, we propose an end-to-end pipeline for microscopy image digitization and automatic analysis of digitized images of STH. Our solution includes (a) a digitization system based on a mobile app that digitizes microscope samples using a 3D printed microscope adapter, (b) a telemedicine platform for remote analysis and labelling, and (c) novel deep learning algorithms for automatic assessment and quantification of parasitological infections by STH. The deep learning algorithm has been trained and tested on 51 slides of stool samples containing 949 Trichuris spp. eggs from 6 different subjects. The algorithm evaluation was performed using a cross-validation strategy, obtaining a mean precision of 98.44% and a mean recall of 80.94%. The results also proved the potential of generalization capability of the method at identifying different types of helminth eggs. Additionally, the AI-assisted quantification of STH based on digitized samples has been compared to the one performed using conventional microscopy, showing a good agreement between measurements. In conclusion, this work has presented a comprehensive pipeline using smartphone-assisted microscopy. It is integrated with a telemedicine platform for automatic image analysis and quantification of STH infection using AI models.

Lifesaving interventions in blackout conditions using night vision technology: Come to the dark side.

BACKGROUND: During military combat operations and civilian night-time aeromedical transport, medical providers are frequently required to perform lifesaving interventions (LSIs) in low-light environments. Because definitive surgical care is often delayed until a white light environment is permissible, we sought to determine if night optical device (NOD) technology could enable surgical capabilities in blackout conditions. METHODS: Using a crossover design, six surgeons performed 11 different procedures on six swine, three in normal light conditions (LC) and 3 in blackout conditions (BC) using two-chamber NODs after familiarization with the procedures in both conditions on manikins. Successful completion and procedural times were compared between groups. RESULTS: Blackout conditions were confirmed with ambient light reading of 0.2 lux during BC versus 3962.9 lux for LC (p < 0.001). There were no significant differences in success rates for any procedure. There were no differences in operative times between BC and LC for extremity tourniquet placement, femoral artery cut-down and clamping, resuscitative thoracotomy, or percutaneous resuscitative endovascular balloon occlusion of the aorta placement. The following procedures took significantly longer in BC vs. LC: Focused Assessment with Sonography for Trauma examination (98 seconds vs. 62 seconds), peripheral IV placement (140 seconds vs. 35 seconds), intraosseous access (51 seconds vs. 26 seconds), jugular vein cut-down and access (237 seconds vs. 104 seconds), laparotomy and packing (71 seconds vs. 51 seconds), stapled splenectomy (137 seconds vs. 74 seconds), resuscitative endovascular balloon occlusion of the aorta placement via cutdown (1,008 seconds vs. 338 seconds), and cricothyroidotomy (177 seconds vs. 109 seconds) (all p < 0.05). CONCLUSION: Lifesaving interventions can be safely and effectively performed in blackout conditions using NODs, although increased difficulty with select procedure types was identified. Focused training and technological improvements to currently available devices are needed. LEVEL OF EVIDENCE: Basic science.

A comparison of open versus closed techniques using the Harmonic Scalpel in outpatient hemorrhoid surgery.

BACKGROUND: Surgical excision using the Harmonic Scalpel is a modern technique for symptomatic third- and fourth-degree hemorrhoids. The resulting mucosal defect is then left open or sutured closed depending on surgeon preference. PURPOSE: The purpose of this study was to compare the open vs. closed techniques of hemorrhoid excision using the Harmonic Scalpel in an outpatient setting. METHODS: From July 2000 through October 2001, 42 patients underwent surgical excision of complex grade III or grade IV hemorrhoids via the Harmonic Scalpel with closure of the overlying mucosa (closed), and without closure of the overlying mucosa (open). Quality of life was assessed using the Short Form-36 survey. RESULTS: Both groups were comparable in terms of patient demographics and type of anesthesia. There were no late complications. Mean follow-up was 16.9 (range, 12-27) months. CONCLUSION: Leaving the mucosal defect open following Harmonic Scalpel hemorrhoidectomy significantly reduces operative time, and thus operative costs, without diminishing quality of life. Although morbidity was equivalent, this requires further evaluation with a prospective study to ensure patient safety.

The impact of hypothermia on trauma care at the 31st combat support hospital.

BACKGROUND: The primary objective of this study was to review the incidence of hypothermia, and its effect on surgical management, resource utilization, and survival at the 31st Combat Support Hospital (CSH). METHODS: This study was a retrospective analysis of all combat trauma injuries treated at the 31st CSH over a 12-month period. All trauma admissions were included. Descriptive and inferential analysis were performed using SPSS 11.0 software package (SPSS Inc., Chicago, IL). RESULTS: A cohort of 2848 patients was identified; 18% were hypothermic (temperature < 36 degrees C). Hypothermia was significantly (P < .05) correlated with admission Glasgow Coma Scale (GCS), tachycardia, hypotension, lower hematocrit, and acidosis. Hypothermic patients had a significantly higher blood product and factor VIIa requirement. Hypothermia was an independent predictor of operative management of injuries, damage control laparotomy, factor VIIa use, and overall mortality (P < .05). CONCLUSION: Combat trauma patients have a high percentage of penetrating injuries with variable evacuation times. Hypothermia was a pre-hospital physiologic marker, and independent contributor to overall mortality. Prevention of hypothermia could reduce resource utilization and improve survival in the combat setting.

Intestinal fatty acid binding protein (I-FABP) for the detection of strangulated mechanical small bowel obstruction.

OBJECTIVE: Intestinal fatty acid binding protein (I-FABP), a protein released by necrotic enterocytes, is a useful marker for the detection of ischemia from mechanical small bowel obstruction. DESIGN: Validation cohort. SETTING: Academic medical center. PARTICIPANTS: Cohort of 21 patients admitted with a clinical diagnosis of mechanical small bowel obstruction. Plasma and urine samples were collected from patients upon hospital admission and again immediately before laparotomy if surgical intervention was delayed. RESULTS: Plasma and urine I-FABP levels (pg/ml by enzyme-linked immunosorbent assay) in patients found to have small bowel necrosis at the time of laparotomy were compared with those without significant ischemia upon laparotomy and those that did not require laparotomy and, by default, did not have small bowel ischemia. A positive test was defined as 1000-pg/ml I-FABP in urine and 100-pg/ml I-FABP in plasma. Small bowel necrosis was confirmed in 3 of 21 enrolled patients. Urine I-FABP levels were positive in 3 of 3 patients with necrosis and 3 of 18 patients without necrosis (sensitivity 100%, specificity 83%, PPV 50%, NPV 100%). Plasma I-FABP levels were positive in 3 of 3 patients with necrosis and 4 of 18 patients without necrosis (sensitivity 100%, specificity 78%, PPV 43%, NPV 100%). CONCLUSIONS: I-FABP is a sensitive marker for ischemia in mechanical small bowel obstruction. Additional work should be done to validate I-FABP in a variety of clinical settings and to develop a rapid I-FABP laboratory assay.

Focused high-risk population screening for carotid arterial stenosis after radiation therapy for head and neck cancer.

BACKGROUND: Cervical radiation for head and neck cancer has been associated with an increased incidence of carotid arterial stenosis. Modern radiation therapy delivers higher doses with increasing long-term survival. Accordingly, the prevalence of radiation-associated carotid stenosis may be higher than previously reported. Phase I of this prospective study was to establish the prevalence of carotid artery stenosis after high-dose cervical radiation. METHODS: From a prospectively maintained database, we identified patients who had received cervical high-dose radiotherapy (minimum 5,500 cGy). All patients were screened with bilateral carotid arterial duplex ultrasonography. We defined disease as "normal or mild" if the carotid stenosis was <50%, and "significant" if >50%. The relationship between standard demographic risk factors and screening outcomes was then analyzed. RESULTS: Screening was performed in 40 patients (mean age 68.2 years, range 26 to 87). Patients received a mean cumulative radiation dose of 6,420 cGy (range 5,500 to 7,680), with a mean duration of 10.2 years since their last radiation treatment. Sixteen patients (40%) had significant carotid artery stenosis. Patients with and without significant stenosis were comparable in terms of age, radiation dose, tobacco use, comorbidities, and postradiation interval (P = not significant). Six patients (15%) had unilateral complete carotid occlusion and 6 patients (15%) had significant bilateral carotid stenosis. Three patients (7.5%) had sustained a previous stroke after radiation therapy. CONCLUSIONS: The prevalence of carotid arterial disease in patients with prior cervical radiation therapy is clinically significant and warrants aggressive screening as part of routine preradiation and postradiation care. Focused screening of this high-risk population may be cost effective and medically beneficial in terms of risk factor modification and stroke prevention, and will be examined in phase II of this study.

Secondary operations are frequently required to complete the surgical phase of therapy in the era of breast conservation and sentinel lymph node biopsy.

BACKGROUND: Breast conservation therapy (BCT) is an oncologically equivalent and cosmetically preferable alternative to mastectomy for most early-stage breast cancers. The number of operations required to complete the surgical phase of therapy with BCT has not been widely reported. METHODS: From our institutional tumor registry, we reviewed the records of all patients receiving primary surgical therapy for breast cancer from January 1, 1998, to June 30, 2002. There were 204 patients with 210 breast cancers in the cohort. These cancers were initially managed with either BCT (n = 150) or mastectomy (modified radical mastectomy or total mastectomy with sentinel lymph node biopsy) (n = 60). We compared the percentages of patients in each group who required additional surgeries to obtain clear margins, manage axillary disease, or otherwise complete the surgical phase of therapy. Patients with secondary surgery related to long-term local recurrence were excluded. RESULTS: Fifty-one percent of patients initially managed with BCT required additional surgery compared with 12% in the mastectomy group (P <0.05). Factors independently associated with multiple surgeries among all patients included management with BCT (odds ratio [OR] 5.4, P = 0.01) and positive margins at initial excision (OR 4.7, P <0.01). Significant independent predictors of positive margins included BCT (OR 11.9, P <0.01); disease stage (OR 6.7, P <0.01); submission of supplemental margins in addition to the main specimen (OR 2.8, P = 0.03); and positive nodes (OR 1.1, P = 0.04). Breast conservation was ultimately successful in 95% of patients who underwent BCT. CONCLUSIONS: Patients undergoing BCT may require multiple surgeries to reconcile successful breast conservation with sound oncologic resection.

A case-match analysis of failed prior bariatric procedures converted to resectional gastric bypass.

BACKGROUND: Failure to lose weight or intractable symptoms after bariatric surgery presents a complex diagnostic and management challenge. The outcome of a standardized surgical approach to this problem has not been well described. Conversion of failed bariatric procedures to a resectional gastric bypass (RGB) can achieve symptomatic relief and acceptable weight loss. METHODS: We reviewed all patients in a prospectively maintained database who underwent reoperative bariatric surgery over a 4-year period. Reoperative patients (RO) were case-matched (by age, body mass index, and comorbidities) in a 1:2 ratio with control patients undergoing an initial bariatric procedure (IN). RESULTS: Twenty-seven reoperative patients and 54 case-matched control patients were identified. Mean body mass index was 42 in the RO group versus 45 in the IN group (P = not significant). Indications for conversion were weight gain (89%), dysphagia/emesis (30%), esophagitis (19%), and marginal ulcer (7%). All patients in both groups underwent RGB (subtotal gastrectomy with Roux-Y gastrojejunostomy). Compared with IN patients, the RO patients had significantly longer operative times (420 versus 268 minutes), greater blood loss (650 versus 315 cc), longer time to oral intake (3.1 versus 2.2 days), and longer hospital stays (6.5 versus 4.7 days), all P <0.01. There were no deaths or anastomotic leaks in either group. Excess body weight lost at 6 months was 46% for RO versus 54% for IN (P = 0.02). One-year excess weight lost was 71% for RO versus 77% for IN (P = not significant). All RO patients achieved symptomatic relief, and no patient required further bariatric revision. There was significant improvement in weight-related comorbidity in each group. CONCLUSIONS: Conversion of failed bariatric procedures to RGB, although technically demanding, resulted in relief of presenting symptoms, significant 6-month and 1-year weight loss, and improvement of major comorbidities. Conversion of failed bariatric procedures to resectional gastric bypass can achieve results comparable with those of patients undergoing an initial bariatric procedure.