Multi trait stability indexing and trait correlation from a dataset of sweet potato (Ipomoea batatas L.)

A study was conducted in five regions of Bangladesh, specifically Gazipur, Bogura, Jamalpur, Jashore, and Chattogram, each characterized by suitable agro-ecologies for sweet potato cultivation. The purpose of this data article was to demonstrate the correlations between traits and the selection of stable varieties based on the multi-trait stability index (MTSI). The data indicated a direct link between multiple characteristics and both the yield and factors contributing to yield. This implies that enhancing these traits might result in a higher overall production of sweet potato storage roots. Furthermore, the factor analysis for MTSI demonstrated that the desired goal for selection was achieved for all traits, except for mean vine length (VL) and storage root dry weight (DW). The broad sense heritability ranged from 0 to 0.97, and the selection gain percentage ranged from 0 to 42.8. The MTSI analysis identified the sweet potato variety BARI Mistialu-15 as the most stable among the other studied varieties.

Knee Osteoarthritis Detection and Severity Classification Using Residual Neural Networks on Preprocessed X-ray Images

One of the most common and challenging medical conditions to deal with in old-aged people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease involves observing X-ray images of the knee area and classifying it under five grades using the Kellgren-Lawrence (KL) system. This requires the physician's expertise, suitable experience, and a lot of time, and even after that the diagnosis can be prone to errors. Therefore, researchers in the ML/DL domain have employed the capabilities of deep neural network (DNN) models to identify and classify KOA images in an automated, faster, and accurate manner. To this end, we propose the application of six pretrained DNN models, namely, VGG16, VGG19, ResNet101, MobileNetV2, InceptionResNetV2, and DenseNet121 for KOA diagnosis using images obtained from the Osteoarthritis Initiative (OAI) dataset. More specifically, we perform two types of classification, namely, a binary classification, which detects the presence or absence of KOA and secondly, classifying the severity of KOA in a three-class classification. For a comparative analysis, we experiment on three datasets (Dataset I, Dataset II, and Dataset III) with five, two, and three classes of KOA images, respectively. We achieved maximum classification accuracies of 69%, 83%, and 89%, respectively, with the ResNet101 DNN model. Our results show an improved performance from the existing work in the literature.

Effect of coated cysteamine hydrochloride and probiotics supplemented alone or in combination on feed intake, nutrients digestibility, ruminal fermentation, and blood metabolites of Kamphaeng Saen beef heifers

This study aimed to determine the effects of coated cysteamine hydrochloride (CSH) and probiotics (PB) supplemented alone or in combination on feed intake, digestibility, ruminal fermentation, and blood metabolites of heifer beef cattle. Sixteen heifers (body weight = 210 ± 41 kg; age = 9 ± 2 months) were assigned according to a randomized complete block design in a 2 × 2 factorial arrangement. All animals were fed the basal diet, which contained an 82:17 concentrate-to-forage ratio, and the forage source was rice straw. The treatments were as follows: (1) 0% PB + 0 g/d CSH, (2) 0.1% PB + 0 g/d CSH, (3) 0% PB + 20 g/d CSH, and (4) 0.1% PB + 20 g/d CSH. The main effect of CSH supplementation has been found to improve feed intake (P < 0.05). There were no treatment interactions with nutrient digestibility or rumen fermentation parameters. Supplementation of CSH did not affect any of the variables evaluated, while probiotics supplementation increased DM digestibility due to the increases in CP and fiber fraction digestibility. Compared to controls and CSH, at 16 h post-feeding, heifers receiving probiotics tended (P = 0.07) to show 17% greater ruminal NH3-N concentration, but this effect was not evident at 2 h post-feeding. However, the main effects of probiotic supplementation showed a tendency to increase the number of total bacteria and fungal zoospores in the rumen at 2 h post-feeding. The blood triglyceride (BTG) concentration of heifers fed a diet supplemented with 20 g/d CSH and 0.1% probiotics was found to be greater than those fed CSH alone (P < 0.1) at 16 h post-feeding, and then, there were greater BTG concentrations than other treatments (P < 0.05) at 2 h post-feeding. In conclusion, the combination of CSH and PB did not potentiate the effects of probiotics on digestibility and rumen fermentation and had minimal effects on blood parameters.

Impacts of climate change on fish hatchery productivity in Bangladesh: A critical review

Bangladesh is among the countries most vulnerable to climate change due to its geographical location. Climate change issues have become major concerns in aquaculture industry, particularly for fish hatchery productivity. Fish production in Bangladesh is mainly steered by the aquaculture sector, which is dependent on private hatchery-based fish seed production to a great extent. This review aimed to present the impacts of climate change on fish hatcheries, particularly during different stages of hatchery production, and the economic loss from the onset of disease and other impairments due to environmental causes. Geographically, most hatcheries in Bangladesh are operated within a narrow range of temperature (22.8-23.1 °C, equivalent to 73-73.5 °F) and rainfall (1750-2000 mm). Thus, slightest fluctuations in these parameters affect seed production in fish hatcheries. The broodstock, produced in natural and captive conditions, is severely affected by flash flooding, water quality deterioration, river siltation, erratic rainfall, and temperature fluctuations. Based on our review, temperature fluctuation is the main factor hampering maturation and breeding performances of broodstock. Temperature has also been reported to affect embryonic development and cause stunted growth of larvae and juvenile. In shrimp and prawn hatcheries, fluctuations in temperature, pH, and salinity are responsible for post-larval disease outbreaks. In some instances, storms and heavy rainfall wash away reared broodfish and fish seed from the hatcheries, causing massive socioeconomic losses. This review presents indisputable negative impacts of climate change on hatchery production. As of now, no cost-effective proven strategies have been developed to minimize the effects of climate change on Bangladesh's fish hatchery production, on which the aquaculture industry is inextricably dependent. For sustainable fish hatchery production, basic research on climate impacts on hatcheries is inevitable, as well as improving capacity of hatchery owners are needed for resilient hatchery operations in Bangladesh and similar environments worldwide.

Antimicrobial Resistance in Aquaculture Environments: Unravelling the Complexity and Connectivity of the Underlying Societal Drivers

Food production environments in low- and middle-income countries (LMICs) are recognized as posing significant and increasing risks to antimicrobial resistance (AMR), one of the greatest threats to global public health and food security systems. In order to maximize and expedite action in mitigating AMR, the World Bank and AMR Global Leaders Group have recommended that AMR is integrated into wider sustainable development strategies. Thus, there is an urgent need for tools to support decision makers in unravelling the complex social and environmental factors driving AMR in LMIC food-producing environments and in demonstrating meaningful connectivity with other sustainable development issues. Here, we applied the Driver-Pressure-State-Impact-Response (DPSIR) conceptual framework to an aquaculture case study site in rural Bangladesh, through the analysis of distinct social, microbiological, and metagenomic data sets. We show how the DPSIR framework supports the integration of these diverse data sets, first to systematically characterize the complex network of societal drivers of AMR in these environments and second to delineate the connectivity between AMR and wider sustainable development issues. Our study illustrates the complexity and challenges of addressing AMR in rural aquaculture environments and supports efforts to implement global policy aimed at mitigating AMR in aquaculture and other rural LMIC food-producing environments.

COVID-19 impacts on the Bangladesh shrimp industry: A sequential survey-based case study from southwestern Bangladesh

Shrimp farming is fundamental to the national economy of Bangladesh, particularly through earning foreign currency. The nationwide lockdown and international cargo restriction jeopardized the sector and breaking its marketing chain. Assessing the degree of farming socio-economic peril from COVID-19 and suggesting early coping strategies and long-term mitigation measures are pressing to build resilience for this food production sector. To collect survey data, two key-informant face-to-face surveys with 51 shrimp farmers and 62 consumers in southwest Bangladesh were accomplished. As national lockdowns restricted access to export markets and movements within the country, farm incomes decreased against rising production costs. To compensate, farmers reduced their workforce (29.4%), but even with the sale of co-cultured finfish still suffered from large drops in revenue (42.8% average profit reduction). Furthermore, we present evidence that shrimp farmers should consider diversification of aquaculture product type as co-culture of additional shrimp species was a poor mitigation strategy against large market price fluctuations. Product price reductions were passed on to the consumer, who enjoyed falling product prices including more expensive shrimp products, but the markup for nearly all aquaculture products increased. The current jeopardy and consequences of shrimp farming future are discussed, including coping strategies to help policymakers in building resilience against future uncertainties.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12562-022-01630-0.

Diallel Cross Application and Histomolecular Characterization: An Attempt to Develop Reference Stock of Labeo ariza

The objective of the present study was to evaluate the growth performance and genetic variation in diallel crosses of Ariza labeo (Labeo ariza) originating from three geographically separated rivers (Atrai, Jamuna and Kangsha) in Bangladesh. Intra (G1K♀K♂, G2J♀J♂, and G3A♀A♂) and inter (G4K♀A♂, G5K♀J♂, G6A♀K♂, G7A♀J♂, G8J♀K♂, and G9J♀A♂) stocks were produced following diallel cross (sex ratio—1:1 and n = 48; 16 from each river). Reproductive and growth performance, muscle cellularity and genetic variation following genotyping of eight microsatellite markers (Lr1, Lr2, Lr3, Lr22, Lr24, Lr27, Lr28 and Lr29) and analysis of all crossbreeds was performed. The fertilization (95% ± 2.11%), hatching (88% ± 1.03%), and survival rates (82% ± 1.88%) of G4K♀A♂ were higher compared to other groups. With respect to length and weight gains (2.67 ± 0.4 cm and 3.39 ± 0.2 g), SGR (3.23% ± 0.20%), and heterosis (8.87% and 24.74%) G4K♀A♂ was the superior group. A higher number of hyperplastic muscle fibers, mean number of alleles (2.75) and mean observed heterozygosity (0.417) from G4K♀A♂ could be interpreted to mean that G4K♀A♂ comprise better performance efficiency compared to others and are considered for continuing the L. ariza stock improvement program.

Writer verification of partially damaged handwritten Arabic documents based on individual character shapes

Author verification of handwritten text is required in several application domains and has drawn a lot of attention within the research community due to its importance. Though, several approaches have been proposed for the text-independent writer verification of handwritten text, none of these have addressed the problem domain where author verification is sought based on partially-damaged handwritten documents (e.g., during forensic analysis). In this paper, we propose an approach for offline text-independent writer verification of handwritten Arabic text based on individual character shapes (within the Arabic alphabet). The proposed approach enables writer verification for partially damaged documents where certain handwritten characters can still be extracted from the damaged document. We also provide a mechanism to identify which Arabic characters are more effective during the writer verification process. We have collected a new dataset, Arabic Handwritten Alphabet, Words and Paragraphs Per User (AHAWP), for this purpose in a classroom setting with 82 different users. The dataset consists of 53,199 user-written isolated Arabic characters, 8,144 Arabic words, 10,780 characters extracted from these words. Convolutional neural network (CNN) based models are developed for verification of writers based on individual characters with an accuracy of 94% for isolated character shapes and 90% for extracted character shapes. Our proposed approach provided up to 95% writer verification accuracy for partially damaged documents.

Glioma Tumors' Classification Using Deep-Neural-Network-Based Features with SVM Classifier

The complexity of brain tissue requires skillful technicians and expert medical doctors to manually analyze and diagnose Glioma brain tumors using multiple Magnetic Resonance (MR) images with multiple modalities. Unfortunately, manual diagnosis suffers from its lengthy process, as well as elevated cost. With this type of cancerous disease, early detection will increase the chances of suitable medical procedures leading to either a full recovery or the prolongation of the patient's life. This has increased the efforts to automate the detection and diagnosis process without human intervention, allowing the detection of multiple types of tumors from MR images. This research paper proposes a multi-class Glioma tumor classification technique using the proposed deep-learning-based features with the Support Vector Machine (SVM) classifier. A deep convolution neural network is used to extract features of the MR images, which are then fed to an SVM classifier. With the proposed technique, a 96.19% accuracy was achieved for the HGG Glioma type while considering the FLAIR modality and a 95.46% for the LGG Glioma tumor type while considering the T2 modality for the classification of four Glioma classes (Edema, Necrosis, Enhancing, and Non-enhancing). The accuracies achieved using the proposed method were higher than those reported by similar methods in the extant literature using the same BraTS dataset. In addition, the accuracy results obtained in this work are better than those achieved by the GoogleNet and LeNet pre-trained models on the same dataset.

Alterations in hematological parameters and the structure of peripheral erythrocytes in Nile tilapia (Oreochromis niloticus) exposed to profenofos

The burden of pesticide use from agricultural intensification lies in the fact that pesticides may end up in aquatic ecosystems and have pernicious effects on non-target organisms, including fish. Different blood biomarkers, including hemato-biochemical indices, erythrocytic nuclear abnormalities (ENA), and erythrocytic cellular abnormalities (ECA), were observed in Nile tilapia (Oreochromis niloticus) after exposure to varying sub-lethal concentrations (0%, 5%, 10%, 20%, and 40% of 96-h LC50) of profenofos at different time intervals (7, 14, 21, and 28 days). The results revealed that glucose and white blood cell (WBC) levels significantly increased, while hemoglobin, red blood cell (RBC), and packed cell volume (PCV) significantly decreased in a time- and concentration-dependent manner. Aberrant erythrocytic morphology-derived ENA, such as nuclear degeneration, micronuclear formation, binuclear development, nuclear budding, and karyopyknosis, significantly increased with time in profenofos-exposed groups compared to controls. Between the treatment and control groups, a significant execution was discerned for teardrop and fusion type ECA. For other cellular aberrations of erythrocytes, including elongated, twin, and spindle, a significant difference appeared only at the beginning of the experiment (day 7). This study concludes that the presence of widely used profenofos in aquatic systems has a pernicious effect on Nile tilapia.

Recent Advances in Classification of Brain Tumor from MR Images - State of the Art Review from 2017 to 2021

BACKGROUND

The task of identifying a tumor in the brain is a complex problem that requires sophisticated skills and inference mechanisms to accurately locate the tumor region. The complex nature of the brain tissue makes the problem of locating, segmenting, and ultimately classifying Magnetic Resonance (MR) images a complex problem. The aim of this review paper is to consolidate the details of the most relevant and recent approaches proposed in this domain for the binary and multi-class classification of brain tumors using brain MR images.

OBJECTIVE

In this review paper, a detailed summary of the latest techniques used for brain MR image feature extraction and classification is presented. A lot of research papers have been published recently with various techniques proposed for identifying an efficient method for the correct recognition and diagnosis of brain MR images. The review paper allows researchers in the field to familiarize themselves with the latest developments and be able to propose novel techniques that have not yet been explored in this research domain. In addition, the review paper will facilitate researchers, who are new to machine learning algorithms for brain tumor recognition, to understand the basics of the field and pave the way for them to be able to contribute to this vital field of medical research.

RESULTS

In this paper, the review is performed for all recently proposed methods for both feature extraction and classification. It also identifies the combination of feature extraction methods and classification methods that when combined would be the most efficient technique for the recognition and diagnosis of brain tumor from MR images. In addition, the paper presents the performance metrics particularly the recognition accuracy, of selected research published between 2017- 2021.

COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques

It became apparent that mankind has to learn to live with and adapt to COVID-19, especially because the developed vaccines thus far do not prevent the infection but rather just reduce the severity of the symptoms. The manual classification and diagnosis of COVID-19 pneumonia requires specialized personnel and is time consuming and very costly. On the other hand, automatic diagnosis would allow for real-time diagnosis without human intervention resulting in reduced costs. Therefore, the objective of this research is to propose a novel optimized Deep Learning (DL) approach for the automatic classification and diagnosis of COVID-19 pneumonia using X-ray images. For this purpose, a publicly available dataset of chest X-rays on Kaggle was used in this study. The dataset was developed over three stages in a quest to have a unified COVID-19 entities dataset available for researchers. The dataset consists of 21,165 anterior-to-posterior and posterior-to-anterior chest X-ray images classified as: Normal (48%), COVID-19 (17%), Lung Opacity (28%) and Viral Pneumonia (6%). Data Augmentation was also applied to increase the dataset size to enhance the reliability of results by preventing overfitting. An optimized DL approach is implemented in which chest X-ray images go through a three-stage process. Image Enhancement is performed in the first stage, followed by Data Augmentation stage and in the final stage the results are fed to the Transfer Learning algorithms (AlexNet, GoogleNet, VGG16, VGG19, and DenseNet) where the images are classified and diagnosed. Extensive experiments were performed under various scenarios, which led to achieving the highest classification accuracy of 95.63% through the application of VGG16 transfer learning algorithm on the augmented enhanced dataset with freeze weights. This accuracy was found to be better as compared to the results reported by other methods in the recent literature. Thus, the proposed approach proved superior in performance as compared with that of other similar approaches in the extant literature, and it made a valuable contribution to the body of knowledge. Although the results achieved so far are promising, further work is planned to correlate the results of the proposed approach with clinical observations to further enhance the efficiency and accuracy of COVID-19 diagnosis.

Face masks: protecting the wearer but neglecting the aquatic environment? - A perspective from Bangladesh

In Bangladesh, as with many countries, the spread of COVID-19 made the wearing of single-use face masks, a non-pharmaceutical intervention to reduce viral transmission, surge in popularity amongst the general population. Consequently, irresponsible discarding of used masks into the environment, and mismanagement of the waste they produce, is potentially placing a large pollution burden on aquatic ecosystems in the country. Slow degradation of mask-derived polypropylene and polyethylene fibres creates large reservoirs of microplastic pollutants and these have acute and chronic effects on aquatic organism physiology. Using literature reviews, extrapolation of published data, and field observations, we present an emerging issue of pollution from COVID-19 personal protective equipment such as face masks in Bangladesh. We have estimated the volume of waste generated and document the potential consequences of its improper disposal, and subsequent degradation, in aquaculture ponds within country. In a field survey of 30 ponds in the Muktagacha upazilla, 76.7% were found to have plastics in contact with the water, or within 1m of the pond, and there was an average of 63 pieces of macro-plastic pollution per 5m2. This included floating discarded face masks. Bangladesh has a rich freshwater and marine resource which it depends upon for export trade, nutrition of the population, and jobs. To mitigate potential acute and chronic impacts on aquaculture and the environment, recommendations are made that, if adopted, would reduce entry of microplastics into the aquatic environments via face mask waste mismanagement.

Minimizing path loss and improving security in wireless body area networks

Purpose

The purpose of this paper is energy consumption and security. To extend the sensor’s life span, saving the energy in a sensor is important. In this paper, biosensors are implanted or suited on the human body, and then, transposition has been applied for biosensors for reducing the sensor distance from the sink node. After transposition path loss has been calculated, security is maintained and also compared the results with the existing strategies.

Design/methodology/approach

Nowadays, one of the most emergent technologies is wireless body area network (WBAN), which represents to improve the quality of life and also allow for monitoring the remote patient and other health-care applications. Traffic routing plays a main role together with the relay nodes, which is used to collect the biosensor’s information and send it towards the sink.

Findings

To calculate the distance and observe the position, Euclidean distance technique is used. Path loss is the main parameter, which is needed to reduce for making better data transmission and to make the network stability. Routing protocols can be designed, with the help of proposed values of sensors locations in the human body, which gives good stability of network and lifetime. It helps to achieve as the less deplete energy.

Originality/value

This scheme is compared with the two existing schemes and shows the result in terms of parameter path loss. Moreover, this paper evaluated a new method for improving the security in WBAN. The main goal of this research is to find the optimal sensor location on the body and select the biosensor positions where they can get less energy while transmitting the data to the sink node, increasing the life span in biosensors, decreasing memory space, giving security, controlling the packet complexity and buffer overflow and also fixing the damages in the existing system.

Assessment of heavy metals in farmed shrimp, Penaeus monodon sampled from Khulna, Bangladesh: An inimical to food safety aspects

The analytical experiment was executed to present detailed reports on the concentration of heavy metals (nickel, iron, zinc, manganese, chromium, lead, and cadmium) in farmed shrimp, Penaeus monodon and its concomitant human health risks upon consumption. A total of 147 farms from six sub-districts of Khulna were selected for sample collection and concentration of heavy metals were determined by Atomic Absorption Spectrometry (AAS) method, following electro-thermal heater digestion. Ni and Cr were found considerably below the detectable limit (BDL) in four sub-districts, while Cr found in shrimps from Rupsa and Paikgacha were far higher than the maximum recommended limit defined by FAO and WHO. The average concentrations of Fe and Mn in all sub-districts crossed the recommendations, whereas average concentrations of Zn, Ni, Cd, and Pb were within the recommendations. Regardless of sampling site, target hazard quotients (THQ) of more than 1 contributed by Fe confirmed higher level of hazard index (HI), indicating potential human health risk. Fortunately, no heavy metal or their additive effect found to offer lifetime potency of carcinogenesis upon consumption of these shrimps. Therefore, probabilistic non-carcinogenic human health risk from Fe contamination necessitates stringent monitoring and controlling of this metal from different sources to farms.

Ichthyo-diversity assessment of the Old Brahmaputra river, Bangladesh: present stance and way forward

The study was carried out to obtain information on the present status and trend of finfish diversity of the Old Brahmaputra river, Bangladesh. Samples were collected directly from a professional fishing boat caught by different nets, traps and hooks from January 2019 to December 2019. Together with 4 exotic species, a total of 49 species under 6 families were recorded. Though a biodiversity index of 3.65854 and a dominance index of 0.030929 represent the richness of ichthyo-diversity within the river, Synbranchiformes and Tetraodontiformes were not reported throughout the study period. Linear regression analysis showed a positive correlation between water height of the river and monthly abundance of the species found. Catch composition of catfishes and snakeheads slumped while barbs showed triumph over previous findings. A majority of fish recorded were within the least concern category according to IUCN (2015) but portions also belonged to critically endangered, endangered, and vulnerable categories as well. Therefore, conservation measures must be infixed in the Old Brahmaputra river to hold the fish diversity in a sustainable state.

Evaluation of the Use of POSSUM and P-POSSUM Score as a Tool for Prediction of Surgical Outcome

Background: There are many scoring systems that predict the risk of mortality with varyingdegrees of accuracy. The ideal scoring system for surgical outcome should be quick andeasy to use and should be applicable to all general surgical procedures. POSSUM(Physiological and Operative Severity Score for enumeration of Mortality and Morbidity) andP-POSSUM (Portsmouth POSSUM) are the most appropriate scoring systems currentlyavailable in general surgery to predict thirty days mortality and morbidity. Objective: The study was done to assess the value of POSSUM in predicting the morbidityrate and the value of P-POSSUM in predicting the mortality rate in general surgical patientsof our country. Methods: Aprospective study was performed in 120 general surgical patient. The risks ofmorbidity and mortality were calculated by using the POSSUM equation for morbidity andthe P-POSSUM equation for mortality in each patient. The predicted risks were comparedwith the observed risks of morbidity and mortality for 30 days after surgery and statisticallyanalysed. Results: The difference in p value of predicted risk of morbidity by POSSUM equation andobserved morbidity; calculated by chi square test(x2 =1.36, d.f=4,p=0.24,0/P ratio was1.18); which was not statistically significant. The predicted mortality by P-POSSUM equationand observed mortality; calculated by Fisher's exact test(p=1) was not found statisticallysignificant. The Pearson correlation has shown significant correlation at the 0.01 level (2tailed) for the observed and predicted mortality and morbidity(r=O. 701).ROC analysesshowed both POSSUM and P-POSSUM scores to be good predictors of 30-day morbidity andmortality with area under the curve values (AUC) of 0.887 and 0.991 respectively. ConclusionPOSSUM and P-POSSUM can be used as a valid tool for using risk prediction of morbidityand mortality in our set up. Journal of Surgical Sciences (2017) Vol. 21 (1) :11-14

Complete mesocolic excision for right sided colonic carcinoma - Our Experience in tertiary care hospital

Background: The concept of Complete Mesocolic Excision(CME) as a surgical techniquefor colonic carcinoma.was first introduced in the west in 2008. CME follows the sameprinciple as Total MesorectalExcision(TME) in rectal carcinoma. We have adopted this newtechnique since 2014. Objective: Here we describe the CME technique in open and laparoscopic right hemicolectomy,and our initial experience of the surgery. Methods: This is a prospective observational study. Data collected from 24 patientsadmitted under our care in BIR DEM General Hospital from January 2015 to January 2017with carcinoma caecum or ascending colon. Results: Out of 24 patients 14 patients opted for laparoscopic right hemicolectomy and 10patients choose open right hemicolectomy. In laparoscopic right hemicolectomy with CMEthe mean operating time was 152 minutes, amount of blood loss ranges 70-100ml.Number of lymphnodes removed enbloc with specimen 25-30(mean27). Distance oftumor from mesenteric margins at the point of vascular tie 11-15 cm. In open righthemicolectomy with CME mean operating time was 142 minutes, estimated blood loss120-300 ml, harvested lymph nodes within mesocolic envelop 24-31(mean27), anddistance of tumor from vascular tie is 9-15 cm. there is one major complication of uretericinjury. Histopathology shows resection margin are free of tumor in all except 2 cases. Conclusion: Right hemicolectomy with CME in both open and laparoscopic approach canbe easily adopted by general surgeons and colorectal surgeons who are performing'standard technique' or 'conventional technique' routinely for right hemicolectomy. Withthe encouraging results available from centers who are routinely performing CME incolonic surgery it is now considered as the new bench mark of quality of standard colonicsurgery. Journal of Surgical Sciences (2017) Vol. 21 (1) :15-18

Complications of Level I and II Axillary Dissection in the Treatment of Carcinoma of the Breast

Background: The role of axillary dissection as an effective means of controlling regionalnodal disease, has long been recognized. It is associated with significant complicationsand might be more selectively applied only to patients harboring micrometastases to thesentinel nodes. Objective: To assess the complications of level I and II axillary lymph node dissection inthe treatment of stage I and II breast cancer, with mastectomy. Methods: One hundred patients having total mastectomy with axillary dissection, wereevaluated for more than 1 year after surgery for arm swelling as well as non-edemacomplications. All patients had measurements of circumference of upper limb at 4 siteson both the operated and non operated sides. Results: No patient had an axillary recurrence, difference in circumference of upperlimb at the midbiceps level >2 cm - 13% (p <0.001), difference at the antecubitalfossa>12% (p < 0.001), at the mid forearm>2cm - 8% (p < 0.005), and at the wrist 4%(n.s.). Four patients (4%) had mild swelling of the hand. Seventy seven (77%) patientshad numbness or paresthesias of the medial arm and/or axilla after surgery; in 63(82%) of these, the problem had lessened or had resolved on follow-up assessment.Medical therapy with anti-tubercular drugs ranging from 9 to 12 months with follow upmonthly was the mainstay of treatment. Surgical intervention reserved for selectedrefractory cases. Extension of anti-tubercular therapy from 9 to 12 or 18 monthsrequired in fifty-eight(58) patients on the basis of slow clinical response. Completeresolution obtained in 92 patients but residual tiny mass in eight patients confirmed byrepeated FNAC to be fibrotic. Conclusion: Level I and II axillary dissection is associated with various complications.Sentinel lymphadenectomy may be proposed as an alternative to elective axillarydissection. Journal of Surgical Sciences (2017) Vol. 21 (1) :24-28

Solitary Plasmacytoma of Rib Origin in a Young Adult- A Rare CaseReport

Solitary plasmacytoma of bone, specially of a single rib, is a rare disease and is characterized by onlyone or two isolated bone lesions with no evidence of disease dissemination. Here we present a caseof 35-year-old male who was presented with a recurrent swelling in left lower lateral chest wall withsymptoms of localized pain. Radiological evaluation revealed a solitaryexpanding lesion in left lowerlateral chest wall. Fine needle aspiration showed numerous small round cells having hyperchromaticnuclei with scanty cytoplasm. en-bloc resection of the tumor, including involved part of left 9th rib,the intercostal muscle and the parietal pleura with primary closure of chest wall. Histopathology ofthe resected mass revealed plasma cell neoplasm, highly suggestive of solitary plasmacytoma. Thepatient referred to oncologist for further management. Journal of Surgical Sciences (2017) Vol. 21 (1) :39-41

Detection of Cervical Cancer through Visual Inspection of Cervix with Acetic Acid (VIA) and Colposcopy at Mymensingh Medical College Hospital

Cervical cancer is the second most common cause of cancer related morbidity and mortality in women with 50% mortality rate. It is preventable if cervical cellular changes are detected and managed at early stage. This was a retrospective study conducted at VIA center of outpatient department and Colposcopy clinic at in-patient department of Mymensingh Medical College Hospital, Bangladesh covering a period from September 2013 to November 2014. Objective of this study was detection of cervical cancer and precancerous condition amongst patients reported to VIA center and Colposcopy clinic. In primary screening at VIA Center, total respondents were 3604, their mean age was 35.9 and highest were in the age group 31 to 40 years. At VIA center, 110(3.05%) were found positive and highest were between 31 to 40 years. In Colposcopy Clinic, out of 700 patients, 51.7% were CIN 1, 4.9% CIN 2, 1.4% CIN 3, invasive carcinoma was 0.3% and unsatisfactory or inconclusive were 34.3%. Most of the respondents were housewives and majority had poor monthly income. Amongst respondents, 72.1% were from rural area and Colposcopic findings revealed in 62.5% abnormal cervical changes, 46.5% were from rural area. Mean age at marriage or age at first coitus was found 16.25 years and 92.7% were in 11 to 20 years. Maximum abnormal cervical findings including CIN were between the ages ranged from 11 to 20 years of marriage age. In patients having 1 - 5 number of child having abnormal (58%) cervical changes, 48% were CIN 1. Histopathology reports found 19.6% CIN 1 (Total CIN 20.7%), cervical carcinoma 1.3%, inflammatory 7.0% and 0.42% cases were reported normal. Amongst 438 histopathology advised cases, 230 respondent's reports with patients were not available. VIA followed by Colposcopy has been a feasible, easy and reliable tools for screening cervical cancer in Bangladesh.

Smear Positive Tuberculosis amongst Suspects Reported to DOTS Corner of Mymensingh Medical College Hospital, Bangladesh

Sputum microscopy still remains the primary tool for the laboratory diagnosis of tuberculosis. A retrospective study was conducted in the directly observed treatment, short-course (DOTS) corner of Mymensingh Medical College Hospital (MMCH), in Bangladesh from May 2013 to May 2014. The study was designed to evaluate the extent of smear positive microscopy including multi-drug resistance (MDR) amongst tuberculosis suspected cases. A total of 2,361 Pulmonary Tuberculosis (PTB) suspects were noticed to DOTS corner during this period, with the mean age of 43 years. The male female ratio was 2.02:1 and the smear positivity rate was about 10%. Study found majority of the suspects were in the economically productive year of life 20-70 years. Smear negative suspects were not re-evaluated further, though smear negativity does not rule out absence of tuberculosis. Extra pulmonary or non tuberculous mycobacteria were not evaluated in this study. Twenty two patients 0.9% of total 2361 were identified as MDR during the study period where 61 clinically highly suspected cases were sent for GeneXpert that seems to be much lesser than the national rate (3.6% in new cases and 19% in retreated cases). The smear positivity rate of all three (1st, 2nd and 3rd) smear was 94.5%, all the second smear was 100% positive and the third were 95.47% positive. It is evident from this study that two smear microscopy was found sufficiently reliable to diagnose TB. However, further in depth prospective study might be undertaken to ascertain the scenario of this chronic diseases.

New Management Strategies of Oral Tongue Cancer in Bangladesh

INTRODUCTION

Malignancies of the tongue represent one of the greatest management challenges for the maxillofacial surgeons as well as oncologists, because of the adverse effects of treatment on oral and pharyngeal function, the eventual quality of life, and the poor prognosis of advanced disease. Therefore, it is important to use judgment and experience in determining the best method of treatment.

MATERIAL AND METHODS

We reviewed forty cases of oral tongue cancer patients admitted in the Dental and Facio-Maxillary Surgical Oncology department in National Institute of Cancer Research and Hospital, and department of Oral and Maxillofacial Surgery, Dhaka Dental College and Hospital, Dhaka, Bangladesh, during the past four years and followed till the lesion healed or recurred and followed later on upto two years. All cases were thoroughly examined, investigated with routine blood examinations and radiography of the involved region. Preoperative biopsy of the lesion and staging was done in each and every case. Postoperative biopsy was taken where there was a doubt about the possibility of recurrence.

RESULTS

Squamous cell carcinoma (well differentiated) is by far the most common malignancy of the oral tongue. Generally a correlation is recognized between tumor size, nodal presence, metastasis, and eventual prognosis. When surgeons detect oral tongue cancer at an early stage, they can often treat it with surgery or can, often treat it with surgery or radiation. In later stages the cancer may require a combination of surgery, radiation and chemotherapy.

CONCLUSION

Standard and uniform protocol has not been explored till now for the practice in our country. So current management strategies of oral tongue cancer cannot be underestimated.

Pattern of cutaneous tuberculosis among children and adolescent

Cutaneous tuberculosis is one of the most subtle and difficult diagnoses for dermatologists practicing in developing countries. It has widely varied manifestations and it is important to know the spectrum of manifestations in children and adolescent. Sixty cases (age<19 years) of cutaneous tuberculosis were included in this one period study. The diagnosis was based on clinical examination, tuberculin reaction, histopathology, and response to antitubercular therapy. Histopahology revealed 38.3% had skin tuberculosis and 61.7% had diseases other than tuberculosis. Among 23 histopathologically proved cutaneous tuberculosis, 47.8% had scrofuloderma, 34.8% had lupus vulgaris and 17.4% had tuberculosis verrucosa cutis (TVC). Most common site for scrofuloderma lesions was neck and that for lupus vulgaris and TVC was lower limb. Cutaneous tuberculosis in children continues to be an important cause of morbidity, there is a high likelihood of internal involvement, especially in patients with scrofuloderma. A search is required for more sensitive, economic diagnostic tools. DOI: http://dx.doi.org/10.3329/bmrcb.v38i3.14335 Bangladesh Med Res Counc Bull 2012; 38(3): 94-97 (December)

Bilateral giant angiomyolipoma of kidneys: a case report and review of literature

Angiomyolipoma is uncommon benign tumor of the kidney. Bilateral and multiple lesions are associated with tuberous sclerosis. We report a case with bilateral giant angiomyolipomas in a patient who had no other features of tuberous sclerosis. In this case, the involvement of the kidneys was diffuse rather than usual well-circumscribed lesions.