Heterogeneity of monosomy 3 in fine needle aspiration biopsy of choroidal melanoma.

PurposeTo report on the heterogeneity of monosomy 3 in a fine needle aspiration biopsy obtained transsclerally from choroidal melanoma for prognosis.MethodsAll clinical records for patients who had been diagnosed with choroidal melanoma and underwent iodine-125 plaque brachytherapy with intraoperative transscleral fine needle aspiration biopsy from January 2005 to August 20, 2011, and who had a positive result for monosomy 3 according to fluorescence in situ hybridization as reported by clinical cytogenetics testing were collected. Patient age and sex, total number of cells evaluated and number of cells positive for monosomy 3, tumor size, and metastatic outcome were recorded for each patient.ResultsA positive result for monosomy 3 was reported in 93 patients who underwent transscleral fine needle aspiration biopsy. Two patients were lost to follow-up immediately post-operatively, and the remaining 91 patients were included in this study. The mean number of cells evaluated in the biopsy was 273 (range 28 to 520). The mean percentage of cells positive for monosomy 3 was 62.9% (range 4.7%-100%). The mean tumor height was 5.91 mm (range 1.99 to 10.85 mm). Larger tumors were associated with a higher percentage of cells positive for monosomy 3. During the average follow-up interval of 28.9 months (range 3-76 months), choroidal melanoma metastasis developed in 18 (20%) patients. Patients whose tumors had 1%-33% of cells positive for monosomy 3 had a significantly lower risk of metastasis-related death compared to patients whose tumors harbored a higher percentage of monosomy 3 (p = 0.04).ConclusionsCytogenetic heterogeneity of fluorescent in situ hybridization for monosomy 3 exists in a biopsy sample. Larger tumors were more likely to have a higher percentage of monosomy 3 positive cells in the sample. Furthermore, patients whose tumors had more than 33% of cells positive for monosomy 3 had a poorer prognosis than patients whose tumors had lower percentages of monosomy 3

Management of infected supracondylar femoral nonunion with bone loss by primary knee arthrodesis with hybrid Ilizarov frame: a study of 10 cases

Background: Most of infected nonunion supracondylar femur with bone loss is a challenge to orthopedicians, where amputation is one of the choice. Opinions are divided on the appropriate management of infected nonunion supracondylar femur with bone loss. Evidence supports for both, osteosynthesis with or without salvaging knee joint and above knee amputation.Methods: 10 consecutive patients at Nizam’s Institute of Medical Sciences, from Jan 2013 to December 2016, who underwent limb salvage with knee arthrodesis for infected nonunion supracondylar femur with bone loss were evaluated and followed till union. Treatment option in the form of osteosynthesis with knee arthrodesis was achieved with hybrid Ilizarov fine wire fixator. The hybrid Ilizarov frame comprised of conventional two ring tibial frame and one ring and one Italian arch in the femoral segment with half treaded pins, this construct was chosen because of less weight, less cumbersome without compromising the stability and basic features.Results: All patients went for solid knee arthrodesis in functional position, with a mean fusion time of 22.4 ± 4.97 weeks. The time interval between primary surgery and definitive treatment was 15.6 ± 6.37 weeks. The mean shortening of lower limb was 3.1±1.19 cms. To achieve arthrodesis quickly, it’s necessary to have light weight, compact Ilizarov frame, have good bone to bone contact and allow early full weight bearing. Conclusions: Osteosynthesis with knee arthrodesis in cases of infected nonunion supracondylar femur with bone loss is a viable option in select cases where the patient is physiologically young, has undergone several procedures around the knee and the knee is stiff. Fusion of the knee enables quick restoration of the patient to his work place

Approaches for Detection of Unstable Processes: A Comparative Study

A process is stable only when parameters of the distribution of a process or product characteristic remain same over time. Only a stable process has the ability to perform in a predictable manner over time. Statistical analysis of process data usually assume that data are obtained from stable process. In the absence of control charts, the hypothesis of process stability is usually assessed by visual examination of the pattern in the run chart. In this paper appropriate statistical approaches have been adopted to detect instability in the process and compared their performance with the run chart of considerably shorter length for assessing its patterns and ensuring the process stability

An unusual initial presentation of mantle cell lymphoma arising from the lymphoid stroma of warthin tumor.

BackgroundWarthin tumors presenting concomitantly with a lymphoma is vanishingly rare with only 15 reported cases in English literature. Herein, we report an unusual initial presentation of a mantle cell lymphoma involving the lymphoid stroma of a Warthin tumor.Case presentationA seventy-seven year old otherwise healthy gentleman with a 50-pack year smoking history presents with a slowly enlarging left cheek mass. CT scan of the neck demonstrated a left parotid gland tumor measuring 3.4 cm in greatest dimension. He underwent a left superficial parotidectomy, with subsequent histopathologic examination revealing a Warthin tumor with extensive expansion of the lymphoid stroma. Flow cytometric, immunohistochemical, and cytogenetic studies of the stromal component of the tumor confirmed the presence of a mantle cell lymphoma. Clinical staging demonstrated stage IVa disease, and was considered to be at low to intermediate risk due to the slow growth of the parotid lesion. The patient is undergoing close follow up with repeat PET-CT scans at six months.ConclusionTo the best of our knowledge, this is the first well documented collision tumor between mantle cell lymphoma and a Warthin tumor. This case also brings to light the significance of thorough evaluation of the lymphoid component of Warthin tumor

CBDC: EMPIRICAL STUDY ON DETERMINANTS OF CBDC USAGE PURPOSE AMONG CONSUMERS

Abstract The initiative from the government of India in making India into a digitally vibrant nation is highly admirable. India economic growth over the decade is raising at higher rate, it due to adoption of digitalization in every part of economy from banking, business, and international payment. Banks are updating according to needs and demands of the consumers providing amenable services at finger tips of the consumers. From small vendor to high business transitions are carry forward with the help of digital transition or digital currency. The primary objective of the study is determining CBDC usage purpose among consumers. The study used convenient sampling method and covered 160 banking consumers using digital banking. The findings of the study show Determinants of CBDC Usage Purpose among Consumers have been segregated into two dominant dimensions namely Payment Terminal and Financial Statibility Factor which dealing with cost of using online banking, usage of the same at all branches both nationally and internationally and security of the banking. The second factor is Usage and Payment Efficiency Factor which deals with usage of the digital banking, efficiency of the payment over the geographical location and ability of use the same without internet connections. Consumer Perception on CBDC have been segregated into two dominant dimensions namely Expectancy and Performance Factor which deals with expectancy of the consumers over usage of CBDC, knowledge on using digital currency and trust over the banking while using digital currency. A positive and significant impact of Consumer Perception on CBDC on Determinants of CBDC Usage Purpose among Consumers has been identified

Evaluation of wound healing activity of ethanolic extract of Azadirachta Indica leaves on incision and excision wound models in Wister albino rats

Background: Wound healing is complex cellular and biochemical cascade that lead to restitution of integrity and function. Recently, the traditional use of plants for wound healing has received attention by the scientific community, as traditional medicine is a source of less expensive, comprehensive medical care, especially in developing countries. Azadirachta indica (Neem) is well-known in India, as one of the most versatile medicinal plants having a wide spectrum of biological activity. Hence, this study was undertaken to evaluate the wound healing activity of the ethanolic extract of A. indica leaf in the experimentally-induced wound in rats.Methods: The healing effect produced by A. indica extract was assessed by the rate of wound contraction histopathology and skin breaking strength by using excision wound model and incision wound model in Wister albino rats. This was compared with control (soft white paraffin) and standard (1% w/w framycetin sulfate ointment). The results have been analyzed by calculating the mean values, standard deviation and compared by using student t-test.Results: The ethanol extract of leaves of A. indica significantly promoted the wound healing activity in both excision and incision wound models.Conclusion: The study revealed promising wound healing activity of ethanolic extract of A. indica and provides a scientific rationale for the traditional use in the management of wounds

Estimation of sediment acoustic properties from horizontal array data

Oil companies conduct geophysical survey in different parts of the world. While the analysis conducted by them is directed towards determining the presence of oil in the deeper layers of the sediment, information on the shallower sediment layers that the data contains is generally ignored. In this paper we investigate the possibility of estimating the sediment properties from such data. The inversion is performed using both linear and non-linear methods. The performances of these methods are compared based on the correlation between the fields predicted by the models and the measured field

An Efficient Model for Forest Fire Detection using Deep Convolutional Neural Networks

Forest fires are a significant natural disaster that causes extensive damage to both human and wildlife habitats. Early detection and management of forest fires are critical in preventing potential losses. In recent years, deep learning-based approaches have emerged as promising solutions for forest fire detection. This paper proposes a deep learning-based approach for forest fire detection using SqueezeNet model.The proposed approach utilizes still images captured from forest areas under different weather conditions to classify whether an image contains a fire or not. The models were trained and tested using accuracy, precision, and recall metrics. The experimental results show that SqueezeNet achieve high precision, and recall in detecting forest fires.SqueezeNet is a Convolutional Neural Networks (CNN) architecture designed to reduce the number of parameters and computations required in a deep learning model while maintaining high accuracy in image classification tasks.