Role of adjuvant therapy in resected periampullary adenocarcinoma: A propensity matched case-control study.

Backgrounds/Aims: The published data had contradictory information on the role of adjuvant therapy on resected periampullary carcinomas (PACA). The study was performed to evaluate the survival benefit of adjuvant treatment. Methods: This was a propensity score matched case-control study from a prospectively maintained database from 2004-2019. The study included patients with nonpancreatic PACA who underwent curative resection. The patients (cases) who received adjuvant chemotherapy were compared with patients (controls) who were observed alone after surgery. Results: Of 510 patients with PACA, 230 patients (cases = 107, controls = 123) formed the unmatched study cohort. After propensity score matching, 140 patients (cases = 70, controls = 70) formed the matched study cohort. The median overall survival (OS) was similar in cases than controls in the unmatched population but doubled non-significantly in cases after matching (unmatched population, 54 months vs. 54 months, p-value = 0.624; matched population, 71 months vs. 36 months, p-value = 0.087). However, the median recurrence-free survival (RFS) was non significantly higher in the control group (unmatched population, 59 months vs. 38 months, p-value = 0.195; matched population, 53 months vs. 40 months, p-value = 0.797). In cox regression analysis, age < 60 years, advanced T stage, and presence of perineural invasion were independent factors for worse RFS, while tumor recurrence was an independent factor for poor OS. Conclusions: Patients with nonpancreatic PACA may have an OS benefit from adjuvant chemotherapy, and this needs to be validated with large prospective randomized studies.

Clinical significance of SPOP and APC gene alterations in colorectal cancer in Indian population.

Speckle-Type Poz Protein (SPOP) involved in the regulation of proteasome-mediated degradation of several oncoproteins, resulting in cancer initiation and progression. Mutations in Adenomatous Polyposis Coli (APC) gene is reported in most sporadic and hereditary colorectal cancer (CRC). Identifying the cellular changes involved in carcinogenesis when APC is mutated is an important issue that needs attention. The tumor suppressive function of SPOP and APC has long been a major focus in the research field of colorectal cancer. However, the clinical significance of SPOP and APC gene alteration in CRC has not been established to date. Mutational analysis was performed by single-strand conformational polymorphism followed by Sanger sequencing, methylation status by methylation-specific PCR, and protein expression by immunohistochemistry on 142 tumor tissues along with their adjacent non-cancerous specimens. The overall survival (OS) and recurrence free survival (RFS) were estimated by Kaplan-Meier Curve. Mutation rates of APC and SPOP gene were 2.8% and 11.9% while that of promoter hypermethylation were 37% and 47%, respectively. The grade of differentiation and Lymph node metastasis were significantly correlated with APC methylation pattern (p ≤ 0.05). The down regulation of APC was more often seen in colonic cancer compared to rectal cancer (p = 0.07) and more commonly in T3-4 depth of invasion (p = 0.07) and in patients without lymphovascular and perineural invasion (p = 0.007, p = 0.08 respectively). The median overall survival and recurrence free survival (RFS) was 67 & 36 months while 3-yr and 5-yr OS and RFS were 61.1% & 56.4% and 49.2% & 44.8%, respectively. APC promoter methylation had a better overall survival (p = 0.035) while loss of SPOP expression had a worse survival (p = 0.09). Our findings reveal high percentage of SPOP gene mutations in CRC. A significant link is found between promoter hyper methylation and protein expression in all mutant cases of APC and SPOP, suggesting that both genes may be associated in the development of colorectal cancer in people of Indian decent. Hypermethylation of APC gene and loss of SPOP expression have shown an association with disease prognosis and could be further studied looking at its potential role in planning adjuvant treatment in CRC patients.

Current research and development in cotton harvesters: A review with application to Indian cotton production systems.

High-quality cotton fiber begins with variety selection, continues with adherence to all production methods, and concludes with a well-planned and executed harvest. A potential strategy for harvesting cotton in developing nations is cotton harvesters. Even though there have been significant improvements in recent years, there are still difficulties with its implementation in developing countries. Cotton picking is entirely mechanical in developed nations. Mechanization in the agriculture business has intensified in emerging nations such as India due to rising labor prices and shortages. This review provides an overview of cotton harvesting technologies. Recent work on robotics in cotton-picking operations is discussed. The present study thoroughly discusses hand-held, self-propelled, tractor-mounted cotton harvester development and evaluation. Information in this review will fill a gap in cotton harvesting operation mechanization and may contribute to enhancing cotton-picking operation mechanization and improving picking/harvesting intelligence research.

Retraction Note: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability.

[This retracts the article DOI: 10.1007/s00500-021-06490-x.].

Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images.

The outbreak of novel coronavirus (COVID-19) disease has infected more than 135.6 million people globally. For its early diagnosis, researchers consider chest X-ray examinations as a standard screening technique in addition to RT-PCR test. Majority of research work till date focused only on application of deep learning approaches that is relevant but lacking in better pre-processing of CXR images. Towards this direction, this study aims to explore cumulative effects of image denoising and enhancement approaches on the performance of deep learning approaches. Regarding pre-processing, suitable methods for X-ray images, Histogram equalization, CLAHE and gamma correction have been tested individually and along with adaptive median filter, median filter, total variation filter and gaussian denoising filters. Proposed study compared eleven combinations in exploration of most coherent approach in greedy manner. For more robust analysis, we compared ten CNN architectures for performance evaluation with and without enhancement approaches. These models are InceptionV3, InceptionResNetV2, MobileNet, MobileNetV2, Vgg19, NASNetMobile, ResNet101, DenseNet121, DenseNet169, DenseNet201. These models are trained in 4-way (COVID-19 pneumonia vs Viral vs Bacterial pneumonia vs Normal) and 3-way classification scenario (COVID-19 vs Pneumonia vs Normal) on two benchmark datasets. The proposed methodology determines with TVF + Gamma, models achieve higher classification accuracy and sensitivity. In 4-way classification MobileNet with TVF + Gamma achieves top accuracy of 93.25% with 1.91% improvement in accuracy score, COVID-19 sensitivity of 98.72% and F1-score of 92.14%. In 3-way classification our DenseNet201 with TVF + Gamma gains accuracy of 91.10% with improvement of 1.47%, COVID-19 sensitivity of 100% and F1-score of 91.09%. Proposed study concludes that deep learning modes with gamma correction and TVF + Gamma has superior performance compared to state-of-the-art models. This not only minimizes overlapping between COVID-19 and virus pneumonia but advantageous in time required to converge best possible results.

Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images.

The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 disease can only be reduced by early diagnosis of COVID-19 infection cases correctly. The initial research findings reported that radiological examinations using CT and CXR modality have successfully reduced false negatives by RT-PCR test. This research study aims to develop an explainable diagnosis system for the detection and infection region quantification of COVID-19 disease. The existing research studies successfully explored deep learning approaches with higher performance measures but lacked generalization and interpretability for COVID-19 diagnosis. In this study, we address these issues by the Covid-MANet network, an automated end-to-end multi-task attention network that works for 5 classes in three stages for COVID-19 infection screening. The first stage of the Covid-MANet network localizes attention of the model to the relevant lungs region for disease recognition. The second stage of the Covid-MANet network differentiates COVID-19 cases from bacterial pneumonia, viral pneumonia, normal and tuberculosis cases, respectively. To improve the interpretation and explainability, three experiments have been conducted in exploration of the most coherent and appropriate classification approach. Moreover, the multi-scale attention model MA-DenseNet201 proposed for the classification of COVID-19 cases. The final stage of the Covid-MANet network quantifies the proportion of infection and severity of COVID-19 in the lungs. The COVID-19 cases are graded into more specific severity levels such as mild, moderate, severe, and critical as per the score assigned by the RALE scoring system. The MA-DenseNet201 classification model outperforms eight state-of-the-art CNN models, in terms of sensitivity and interpretation with lung localization network. The COVID-19 infection segmentation by UNet with DenseNet121 encoder achieves dice score of 86.15% outperforming UNet, UNet++, AttentionUNet, R2UNet, with VGG16, ResNet50 and DenseNet201 encoder. The proposed network not only classifies images based on the predicted label but also highlights the infection by segmentation/localization of model-focused regions to support explainable decisions. MA-DenseNet201 model with a segmentation-based cropping approach achieves maximum interpretation of 96% with COVID-19 sensitivity of 97.75%. Finally, based on class-varied sensitivity analysis Covid-MANet ensemble network of MA-DenseNet201, ResNet50 and MobileNet achieve 95.05% accuracy and 98.75% COVID-19 sensitivity. The proposed model is externally validated on an unseen dataset, yields 98.17% COVID-19 sensitivity.

Hybrid classification model for eye state detection using electroencephalogram signals.

The electroencephalography (EEG) signal is an essential source of Brain-Computer Interface (BCI) technology implementation. The BCI is nothing but a non-muscle communication medium among the external devices and the brain. The basic concept of BCI is to enable the interaction among the neurological ill patients to others with the help of brain signals. EEG signal classification is an essential requirement for various applications such as motor imagery classification, drug effects diagnosis, emotion classification, seizure prediction/detection, eye state prediction/detection, and so on. Thus, there is a need for an efficient classification model that can deal with the EEG datasets more adequately with better classification accuracy, which will further help in developing the automatic solution for the medical domain. In this paper, we have introduced a hybrid classification model for eye state detection using electroencephalogram (EEG) signals. This hybrid classification model has been evaluated with the other traditional machine learning models, eight classification models (Prepossessed + Hypertuned) and six state-of-the-art methods to assess its appropriateness and correctness. This proposed classification model establishes a machine learning-based hybrid model for the classification of eye state using EEG signals with greater exactness. It is also capable of solving the issue of outlier detection and removal to address the class imbalance problem, which will offer the solution toward building the robotic or smart machine-based solution for social well-being.

Histopathological Changes in Liver of Patients With Chronic Pancreatitis Requiring Surgical Intervention and Their Clinical Significance.

OBJECTIVES: The histopathological changes in the liver and their clinical implication in chronic pancreatitis (CP) have not been studied well. We analyzed the incidence, risk factors, and long-term outcomes of these changes in CP. METHODS: Chronic pancreatitis patients who underwent surgery with intraoperative liver biopsy from 2012 to 2018 formed the study group. Based on liver histopathology, 3 groups were formed: normal liver, group NL; fatty liver, group FL; and inflammation/fibrosis, group FS. The risk factors and long-term outcomes, including mortality, were evaluated. RESULTS: Among 73 patients, 39 (53.4%) had idiopathic, and 34 (46.6%) had alcoholic CP. The median age was 32 years, 52 (71.2%) were males and comprised NL, n = 40 (55%); FL, n = 22 (30%); and FS, n = 11 (15%). The preoperative risk factors were comparable among NL and FL groups. Overall 14 of 73 patients (19.2%) (NL, 5 of 40; FL, 5 of 22; FS, 4 of 11 [P = 0.82]) had died at median follow-up of 36 months (range, 25-85 months). The main causes of mortality were tuberculosis and severe malnutrition secondary to pancreatic insufficiency. CONCLUSIONS: The mortality is higher in patients with inflammation/fibrosis or steatosis in liver biopsy, and such patients need monitoring for progression of liver disease and pancreatic insufficiency.

India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability.

The epidemic situation may cause severe social and economic impacts on a country. So, there is a need for a trustworthy prediction model that can offer better prediction results. The forecasting result will help in making the prevention policies and remedial action in time, and thus, we can reduce the overall social and economic impacts on the country. This article introduces a CNN-LSTM hybrid deep learning prediction model, which can correctly forecast the COVID-19 epidemic across India. The proposed model uses convolutional layers, to extract meaningful information and learn from a given time series dataset. It is also enriched with the LSTM layer's capability, which means it can identify long-term and short-term dependencies. The experimental evaluation has been performed to gauge the performance and suitability of our proposed model among the other well-established time series forecasting models. From the empirical analysis, it is also clear that the use of extra convolutional layers with the LSTM layer may increase the forecasting model's performance. Apart from this, the deep insides of the current situation of medical resource availability across India have been discussed.

Prospective Randomized Controlled Trial Comparing Adjuvant Chemotherapy vs. No Chemotherapy for Patients with Carcinoma of Gallbladder Undergoing Curative Resection.

BACKGROUND: Gallbladder carcinoma (GBC) has a dismal prognosis even after curative resection. The objective of the study was to evaluate the effect of adjuvant chemotherapy in patients with GBC undergoing curative resection in a randomized control trial (RCT). METHODS: A single-center open-labeled prospective RCT was done from January 2012 to June 2018. R0 curative resected GBC patients were randomized in 1:1 to either surveillance alone (control group) or adjuvant chemotherapy (gemcitabine and cisplatin (GemCis group)) for 6 cycles. The primary outcome was disease-free survival (DFS), and the secondary outcomes were overall survival (OS) and toxicity profile. RESULTS: On the evaluation of 362 patients with GBC, 50 patients were enrolled in each control or GemCis group. Per protocol (PP), it comprised 96 patients. The demographic and clinical profile was similar between the two groups except in the lower nodal stage where patients were higher in the control group (p = 0.01). Recurrences were similar between groups (control 44% vs GemCis 56%; p = 0.23). On the intention to treat (ITT), analyses of median DFS (not reached vs. 24 months, p = 0.14) and OS (not reached vs. 31 months, p = 0.10) were similar between groups. On PP, analyses of median DFS (not reached vs. 24 months, p = 0.16) and OS (not reached vs. 31 months, p = 0.09) were similar between groups. The common toxicity profile was hematological followed by gastrointestinal symptoms. CONCLUSIONS: Adjuvant GemCis therapy for 6 cycles does not improve DFS or OS than R0 surgery alone patients with GBC. TRIAL REGISTRATION: NCT02778308 ( https://www.clinicaltrials.gov ).

Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection.

Virus based epidemic is one of the speedy and widely spread infectious disease which can affect the economy of the country as well as it is life-threatening too. So, there is a need to forecast the epidemic lifespan, which can help us in taking preventive measures and remedial action on time. These preventive measures and corrective action may consist of closing schools, closing malls, closing theaters, sealing of borders, suspension of public services, and suspension of traveling. Resuming such restrictions is depends upon the outbreak momentum and its decay rate. The accurate forecasting of the epidemic lifespan is one of the enormously essential and challenging tasks. It is a challenging task because the lack of knowledge about the novel virus-based diseases and its consequences with complicated societal-governmental factors can influence the widespread of this newly born disease. At this stage, any forecasting can play a vital role, and it will be reliable too. As we know, the novel virus-based diseases are in a growing phase, and we also do not have real-time data samples. Thus, the biggest challenge is to find out the machine learning-based best forecasting model, which could offer better forecasting with the limited training samples. In this paper, the Multi-Task Gaussian Process (MTGP) regression model with enhanced predictions of novel coronavirus (COVID-19) outbreak is proposed. The purpose of the proposed MTGP regression model is to predict the COVID-19 outbreak worldwide. It will help the countries in planning their preventive measures to reduce the overall impact of the speedy and widely spread infectious disease. The result of the proposed model has been compared with the other prediction model to find out its suitability and correctness. In subsequent analysis, the significance of IoT based devices in COVID-19 detection and prevention has been discussed.

Management of Obscurely Dilated Common Bile Duct with Normal Liver Function Tests: A Pragmatic Approach.

OBJECTIVE: Dilated common bile duct (CBD) (8-15 mm) with normal liver function tests is seen not infrequently, while management of such patients is ambiguous. We propose a treatment algorithm for this cohort of patients after observing them over a period of 8 years. METHODS: Seventy-eight such patients were managed from 2009 to 2017 and categorized as: Group A-dilated CBD with post-cholecystectomy status (n = 15); B-dilated CBD with cholelithiasis (n = 34); C-dilated CBD without cholelithiasis (n = 16); D-dilated CBD with no cause identified and underwent CBD excision (n = 13). Causes for CBD dilatation were evaluated. The outcome of patients in Group B + C without any cause (n = 33) was compared with Group D. RESULT: Median age, CBD diameter, bilirubin and alkaline phosphatase were 51 years (13-79), 10 mm (8-20), 0.6 mg/dl (0.2-2.5) and 126 IU (60-214), respectively. Group-A patients who did not manifest any cause of CBD dilatation were managed conservatively. The aetiology was identified in 17/50 patients in Group B & C [acute pancreatitis (n = 6), passed CBD calculi (n = 3), perivaterian diverticulum (n = 3), viral aetiology (n = 4) and tumour (n-1)]. In Group-C, 7 patients with no obvious cause underwent endoscopic sphincterotomy, pancreatoduodenectomy (n = 1), and the rest were managed conservatively (n = 8). There was no significant difference in the complication between Group B + C (without any cause) and Group D (3/33 vs. 1/13; p = 0.58) at a median follow-up of 72 months (30-90). CONCLUSION: Dilated CBD with normal LFT's without apparent cause is mostly benign and of no consequence. Excision of the CBD is not required for most of these patients.

Impact of lymph node staging systems in predicting outcome in patients with ampullary cancer.

BACKGROUNDS/AIMS: Lymph node (LN) metastasis though, is a poor prognostic factor for ampullary carcinoma (APC), the impact of Lymph node ratio (LNR) and Logarithm odds of positive lymph node (LODDS) in the long-term survival remains controversial. We evaluated the factors affecting the long-term outcome in APC patients with emphasis on LNR and LODDS. METHODS: The prospectively collected data of 198 patients who underwent pancreatoduodenectomy for APC was analyzed after excluding 12 patients for various reasons. Factors affecting Disease specific survival (DSS) and Recurrence free survival (RFS) were analyzed with special reference to LN positivity, LNR and LODDS. RESULTS: Out of 186, 117 (62.9%) patients were alive at a median follow-up of 39.5 months and 72 (38.7%) developed recurrence. The overall 5-year DSS was 59.3% & RFS 54.9%. Univariate analysis showed T-stage, tumor differentiation, perineural invasion, LN positivity, LNR and LODDS was significantly affected DSS and RFS. On multivariate analysis, perineural invasion, LN positivity, LNR and LODDS lost its significance for DSS and RFS. AUC for prediction of DSS and RFS for LNR was 0.654 (p<0.001) & 0.629 (p=0.003) respectively and for LODDS, it was 0.697 (p<0.001) & 0.677 (p=0.001) respectively. Sensitivity and specificity of LNR (0.1) for DSS were 37.7% & 83.8% and for RFS were 36.1% & 83.3%; for LODDS (-1.00), sensitivity and specificity for DSS was 62.3% and 67.5% and for RFS it was 59.7% and 66.7% respectively. CONCLUSIONS: LNR and LODDS although independently seem to affect the RFS and DSS, albeit have a low sensitivity and specificity in predicting DSS and RFS.

Splenectomy with endotherapy in non-cirrhotic portal fibrosis related portal hypertension: Can it be an alternative to proximal spleno-renal shunt?

BACKGROUNDS/AIMS: Proximal splenorenal shunt (PSRS) is usually done in symptomatic non-cirrhotic portal fibrosis (NCPF). The outcomes of splenectomy with endotherapy in non-bleeder NCPF patients has not been well studied. We here by aimed to study the post-surgical outcomes on short and long-term basis between PSRS and splenectomy among non-bleeder NCPF patients. METHODS: The consecutive non-bleeder NCPF patients whom underwent either splenectomy or PSRS from 2008 to 2016 were enrolled. The patients were followed up post-surgery clinically and biochemical investigations, Doppler ultrasound and upper gastrointestinal endoscopy were done as required. The peri-operative parameters compared were operative time, blood loss, hospital stay and morbidity. The long-term outcome measures compared were incidence of portal hypertension (PHTN) related bleed, change in grade of varices, shunt patency, shunt complications and thrombosis of spleno-portal axis. RESULTS: Among 40 patients with non-bleeder status, 24 underwent splenectomy and 16 underwent PSRS. The baseline characteristics including indication of surgery, biochemical investigations and grade of varices were comparable between PSRS and splenectomy. The peri-operative morbidity was not significantly different between two groups. The median follow up duration was 42 months (12-72 months), the decrement in grade of varices was significantly higher in PSRS group (p=0.03), symptomatic PHTN related UGIB was non-significant between PSRS and splenectomy (p=0.5). In PSRS group, 3 (18.3%) patients had shunt thrombosis (n=1) & encephalopathy (n=2) while in splenectomy group two patients developed thrombosis of splenoportal axis. CONCLUSIONS: Splenectomy with endotherapy is alternative to PSRS in non-bleeder NCPF patients with indications for surgery.

Endoscopic cystogastrostomy versus surgical cystogastrostomy in the management of acute pancreatic pseudocysts.

Background: Studies comparing surgical versus endoscopic drainage of pseudocyst customarily include patients with both acute and chronic pseudocysts and the endoscopic modalities used for drainage are protean. We compared the outcomes following endoscopic cystogastrostomy (ECG) and surgical cystogastrostomy (SCG) in patients with acute pseudocyst. Methods: Seventy-three patients with acute pseudocyst requiring drainage from 2011 to 2014 were analysed (18 patients excluded: transpapillary drainage n = 15; cystojejunostomy n = 3). The remaining 55 patients were divided into two groups, ECG n = 35 and SCG n = 20, and their outcomes (technical success, successful drainage, complication rate and hospital stay) were compared. Results: The technical success (31/35 [89%] vs. 20/20 [100%] P = 0.28), complication rate (10/35 [28.6%] vs. 2/20 [10%]; P = 0.17) and median hospital stay (6.5 days [range 2-12] vs. 5 days [range 3-12]; P = 0.22) were comparable in both the groups, except successful drainage which was higher in surgical group (27/35 [78%] vs. 20/20 [100%] P = 0.04). The conversion rate to surgical procedure was 17%. The location of cyst towards tail of pancreas and presence of necrosis were the main causes of technical failure and failure of successful endoscopic drainage, respectively. Conclusion: Surgical drainage albeit remains the gold standard for management of pseudocyst drainage; endoscopic drainage should be considered a first-line treatment in patients with acute pseudocyst considering the reasonably good success rate.

ERCP-related perforation: an analysis of operative outcomes in a large series over 12 years.

BACKGROUND: Perforation is a rare but serious adverse event of endoscopic retrograde cholangiopancreatography (ERCP). The aim of this study was to determine the predictors of morbidity and mortality after surgical management of ERCP-related perforation (EP). METHODS: The records of patients with EP requiring surgical intervention at a tertiary referral center in a 12-year period (2004-2016) were retrospectively analyzed for demography, indications for ERCP, risk factors, timing and type of surgical repair, post-operative course, hospital stay, and outcome. Multiple logistic regression was used to identify the parameters predicting survival. RESULTS: Of 25,300 ERCPs, 380 (1.5%) had EP. Non-operative management was successful in 330 (86.8%) patients. 50 (13.2%) patients were operated for EP. Out of 50, the perforation was detected during ERCP (intra-procedure) in 32 patients (64%). In 30 patients (60%), the surgery was performed within 24 h of ERCP. Twenty patients underwent delayed surgery (after 24 h of ERCP) following the failure of initial non-operative management. The delayed surgery after an unsuccessful medical treatment had a detrimental effect on morbidity, mortality and hospital stay. Post-operative duodenal leak was the only independent predictor of 90-day mortality (p = 0.02, OR = 9.1, 95% CI 1.52-54.64). Addition of T-tube duodenostomy (TTD) to the primary repair for either type I or type II perforations increased post-operative duodenal leak (type I, p = 0.048 and type II; p = 0.001) and mortality (type I, p = 0.009 and type II, p = 0.045). CONCLUSION: Although EP is a rare event, it has a serious impact on morbidity and mortality. Delaying of surgery following failed non-operative management worsens the prognosis. Addition of TTD to the repair is not helpful in these patients.

Long-Term Functional Outcome After Pancreatoduodenectomy for Periampullary Carcinoma With Morphological Correlation.

OBJECTIVE: The aim of the study was to evaluate the long-term functional outcome (exocrine and endocrine) and morphological changes in remnant pancreas after pancreatoduodenectomy and its clinical impact. METHODS: Periampullary carcinoma patients with minimum follow-up of 2 years and without recurrence were included (N = 102). Exocrine insufficiency includes clinical steatorrhea and fecal elastase-1 (FE-1) levels; endocrine insufficiency, glucose levels and glycated hemoglobin; and morphological changes, main pancreatic duct (MPD) diameter and thickness of remnant pancreas. RESULTS: The mean (standard deviation) follow-up period was 59 (26) months. Of the 102 patients, 81 (80%) had severely deficient FE-1 (0-100 µg/g). The preoperative MPD was significantly more and thickness of remnant pancreas was significantly less in patients with severely deficient FE-1. Overall, 15.6% (16/102) developed steatorrhea and improved on enzyme replacement therapy. The presence of MPD stricture (P = 0.008) and weight loss (P = 0.001) were significantly associated with steatorrhea. New-onset diabetes was seen in 17% (15/90) patients, of whom 3 of 5 developed it after 4 years (range, 4-7 years). The blood glucose was controlled on oral hypoglycemics in 2 (10/15) of 3 patients. CONCLUSIONS: The assessment by FE-1 indicates loss of exocrine function in more than 90%, whereas only 1 of 6 developed steatorrhea and new-onset diabetes. Morphological changes especially MPD stricture affect the functional status of remnant pancreas.

Analysis of clinicopathological and immunohistochemical parameters and correlation of outcomes in gastrointestinal stromal tumors.

INTRODUCTION: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. We analyzed the clinicopathological features, resectability, immunohistochemical markers, and various factors predictive of disease recurrence and survival. MATERIALS AND METHODS: Retrospective analysis of prospectively maintained database of GIST patients managed from 2005 to 2016 was done. Size, site, malignant potential, nuclear pleomorphism, histopathological variety, immunohistochemical markers, type of surgery, and adjuvant imatinib therapy were analyzed. RESULTS: Ninety-two patients with GIST were analyzed. Immunohistochemistry showed positivity for c-kit (82.4%), DOG1 (75%), and PDGFR-α (79%). Among 16 patients with c-kit-negative tumors, 10 patients were positive for DOG1, PDGFR-α, or both. The most common primary site was stomach (44, 47.8%) followed by small bowel (17, 18.5%) and duodenum (14, 15.2%). Of 92 patients, 80 (87%) underwent R0 resection with organ sparing resection in 56 (70%) patients. Seventeen (21.3%) patients showed recurrence at a median follow-up of 6 years. Median and 5-year overall survival (OS) was 36 months (12-120) and 75%, respectively, and 5-year RFS was 81.8%. On univariate analysis, size, mitotic activity, malignant potential, and nuclear pleomorphism were predictors of recurrence. However, on multivariate analysis, only nuclear pleomorphism was significant. CONCLUSIONS: GISTs had a wide spectrum of presentation, and immunohistopathological features with organ sparing resection were conceivable in maximum. Nuclear pleomorphism may be considered as an important variable to predict recurrence in addition to malignant potential of tumors.

Early recurrence after laparoscopic radical cholecystectomy in a patient with gallbladder cancer.

Laparoscopic radical cholecystectomy for gallbladder cancer (GBC) has been performed at various oncology centres reporting its technical feasibility. Considering GBC an aggressive malignancy, laparoscopic radical cholecystectomy should be dealt with caution. We recently encountered a case of carcinoma gallbladder who underwent laparoscopic radical cholecystectomy elsewhere and presented with early recurrence. The patient's records were evaluated and he underwent re-resection. Hereby, we discuss the factors that could lead to early recurrence after laparoscopic radical cholecystectomy and measures that can be taken to prevent it.

Utilization of Gastric Conduit in the Management of Combined Corrosive Esophageal and Stomach Stricture.

BACKGROUND: Corrosive stricture of esophagus may be associated with variable involvement of stomach. We analyzed the outcome of gastric conduit used in the management of corrosive esophageal stricture with concomitant antro-pyloric stricture. STUDY DESIGN: Among 101 esophageal replacements performed, 53 patients had combined esophagus and stomach strictures. Colon was used as a conduit in 43 patients, while stomach was used in ten patients. Indications, perioperative complications and early/late outcomes of patients with gastric pull-up were reviewed and compared with those undergone colon pull-up. RESULTS: The indications of using gastric conduit were impromptu in four patients [colonic conduit ischemia (n = 2) and an oversight of antro-pyloric stricture after forming the gastric conduit (n = 2)]. Six patients had preconceived gastric conduit (distal antro-pyloric stricture with distended stomach). The median age was 29 years (range 16-50), and median BMI was 15.4 kg/m2 (range 14.5-20.1). The stomach was drained using loop gastrojejunostomy (n = 7) or Roux-en-Y gastrojejunostomy (n = 3). One patient died due to sepsis secondary to anastomotic leak. Median hospital stay was 9 days (range 7-22). At median follow-up of 25 months (range 14-80), the remaining nine patients are able to have solid diet and have gained weight. The level of esophageal stricture was low (p = 0.01), and duration of surgery (p = 0.02) and median hospital stay (p = 0.04) were significantly less in patients with gastric conduit plus drainage as compared to patients undergone colonic pull-up. CONCLUSION: Gastric conduit in a subject with distal antro-pyloric stricture can be used safely along with gastrojejunostomy in selected patients of corrosive esophageal stricture.