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Novel molecular panel for evaluating systemic inflammation and survival in therapy naïve glioma patients

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World Journal of Clinical Oncology 2021年第10期12卷 947-959页

作者： Puneet Gandhi richa shrivastava Nitin Garg Sandeep K Sorte Department of Research Bhopal Memorial Hospital and Research CentreBhopal 462038Madhya PradeshIndia Department of Neurosurgery Bhopal Memorial Hospital and Research CentreBhopal 462038Madhya PradeshIndia

BACKGROUND Inflammation is crucial to tumor progression.A traumatic event at a specific site in the brain activates the signaling molecules,which triggers inflammation as the initial response within the tumor and its *** educated immune cells and secreted proteins then initiate the inflammatory cascade leading to persistent chronic ***,estimation of the circulating inflammatory indicators kynurenine(KYN),interleukin-6(IL-6),tissue-inhibitor of matrix-metalloproteinase-1 and human telomerase reverse transcriptase(hTERT)along with neutrophil-lymphocyte ratio(NLR)has prognostic *** To assess the utility of chosen inflammatory marker panel in estimating systemic *** The chosen markers were quantitatively evaluated in 90 naive,molecularly subtyped plasma samples of glioma.A correlation between the markers and confounders was assessed to establish their prognostication ***-up on the levels of the indicators was done 3-mo *** establish the validity of circulating KYN,it was also screened qualitatively by dot-immune-assay and by immunofluorescence-immunohistochemistry in tumor *** Median values of circulating KYN,IL-6,hTERT,tissue-inhibitor of matrixmetalloproteinase-1 and NLR in isocitrate-dehydrogenase-mutant/wildtype and within the astrocytic sub-groups were estimated,which differed from controls,reaching statistical significance(P90%)than standalone markers,to define *** inflammatory panel could discriminate between WHO grades,and isocitrate-dehydrogenase-mutant/wildtype and define differential survival between astrocytic isocitrate-dehydrogenase-mutant/***,its assessment for precise disease prognosis is *** of KYN with NLR,IL-6 and hTERT was ***-regres

关键词： Circulating Glioma Inflammatory marker Kynurenine Non-invasive Prognostic

Ibrutinib and atrial fibrillation:An in-depth review of clinical implications and management strategies

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World Journal of Cardiology 2024年第5期16卷 269-273页

作者： Moiud Mohyeldin Shitij shrivastava Sai Vishnu Vardhan Allu Internal Medicine University of Medical Sciences and TechnologyKhartoum 11111Sudan Internal Medicine Bronxcare Health SystemBronxNY 10457United States

Ibrutinib,a targeted therapy for B-cell malignancies,has shown remarkable efficacy in treating various hematologic ***,its clinical use has raised concerns regarding cardiovascular complications,notably atrial fibrillation(AF).This comprehensive review critically evaluates the association between ibrutinib and AF by examining incidence,risk factors,mechanistic links,and management *** an extensive analysis of original research articles,this review elucidates the complex interplay between ibrutinib’s therapeutic benefits and cardiovascular ***,it highlights the need for personalized treatment approaches,vigilant monitoring,and interdisciplinary collaboration to optimize patient outcomes and safety in the context of ibrutinib *** review provides a valuable resource for healthcare professionals aiming to navigate the intricacies of ibrutinib’s therapeutic landscape while prioritizing patient well-being.

关键词： Ibrutinib Bruton’s tyrosine kinase inhibitor Atrial fibrillation Cardiovascular risk Management strategies

Understanding and controlling the variables for stromal vascular fraction therapy

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World Journal of Stem Cells 2024年第8期16卷 784-798页

作者： Naveen Jeyaraman Sandeep shrivastava VR Ravi Arulkumar Nallakumarasamy Aditya Pundkar Madhan Jeyaraman Department of Orthopaedics Datta Meghe Institute of Higher Education and ResearchWardha 442004MaharashtraIndia Regenerative Medicine Mother Cell Regenerative CentreTiruchirappalli 620017Tamil NaduIndia Department of Orthopaedics Jawaharlal Nehru Medical CollegeDatta Meghe Institute of Higher Education and ResearchWardha 442004MaharashtraIndia Department of Orthopaedics ACS Medical College and HospitalDr MGR Educational and Research InstituteChennai 600077Tamil NaduIndia

In regenerative medicine,the isolation of mesenchymal stromal cells(MSCs)from the adipose tissue’s stromal vascular fraction(SVF)is a critical area of *** review meticulously examines the isolation process of MSCs,starting with the extraction of adipose *** choice of liposuction technique,anatomical site,and immediate processing are essential to maintain cell *** delve into the intricacies of enzymatic digestion,emphasizing the fine-tuning of enzyme concentrations to maximize cell yield while preventing *** review then outlines the filtration and centrifugation techniques necessary for isolating a purified SVF,alongside cell viability assessments like flow cytometry,which are vital for confirming the efficacy of the isolated *** discuss the advantages and drawbacks of using autologous vs allogeneic SVF sources,touching upon immunocompatibility and logistical considerations,as well as the variability inherent in donor-derived *** choices,the selection between hypo-dermic needles vs liposuction cannulas,and the role of adipose tissue lysers in achieving cellular dissociation are evaluated for their impact on SVF *** protocols are also analyzed for their part in ensuring the integrity of the *** necessity for standardized MSC isolation protocols is highlighted,promoting reproducibility and successful clinical *** encourage ongoing research to deepen the understanding of MSC biology and therapeutic action,aiming to further the field of regenerative *** review concludes with a call for rigorous research,interdisciplinary collaboration,and strict adherence to ethical and regulatory standards to safeguard patient safety and optimize treatment outcomes with MSCs.

关键词： Mesenchymal stromal cells Stromal vascular fraction Adipose tissue Autologous stromal vascular fraction Stromal vascular fraction isolation

Analysis of the urethral stricture score and patient-related factors as predictors of outcomes following oral mucosal graft urethroplasty

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Asian Journal of Urology 2024年第3期11卷 473-479页

作者： Nikita shrivastava Rahul Jena Deepak Prakash Bhirud Mahendra Singh Gautam Ram Choudhary Arjun Singh Sandhu Department of Urology All India Institute of Medical SciencesJodhpurRajasthanIndia

Objective:The complexity of urethral strictures can predict outcomes following *** previously described urethral stricture score(U score)considered only stricture-related factors to grade the complexity of urethral strictures and to predict recurrence post urethroplasty,but not considered patient-related factors for the *** aimed to study the correlation of both of these factors to the outcomes of oral mucosal graft ***:We retrospectively reviewed data of 101 patients who underwent oral mucosal graft urethroplasty in our institute with a minimum follow-up of 6 *** patient characteristics and stricture-related parameters were *** U score was calculated for all patients which consisted of the length,location,number,and etiology of *** and multivariate Cox proportional hazard regression models were used to determine significant risk factors of ***:The mean follow-up of patients was 15 *** was seen in 28 patients and the mean time for detection of recurrence was 8 months of *** Charlson Comorbidity Index,history of previous intervention,length of strictures,location of strictures,number of strictures,history of smoking,and etiology were independent predictors of recurrence following *** on these parameters,we formulated the modified U score(MU score).The scores ranged from 0 to 6 and a score of>2 was found to be predictive of *** comparing receiver operating characteristic curves for both scores by the DeLong test,the MU score had larger area under the curve than the U ***:The MU scoring system is the first of its kind attempt taking into consideration both patient-and stricture-related factors to predict recurrence following oral mucosal graft urethroplasty.

关键词： Urethral stricture Urethral stricture score Recurrence Urethroplasty

Evaluation of thyroid profile among children aged 1-15 years with nephrotic syndrome:An observation study

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World Journal of Clinical Pediatrics 2024年第3期13卷 34-39页

作者： Priyanka Kumari Amit Agrawal Jyotsna shrivastava Department of Pediatrics Gandhi Medical CollegeBhopal 462030India Department of Pediatrics Gandhi Medical CollegeHamidia Hospital CampusBhopal 462022India

BACKGROUND The interaction between the kidney and the thyroid is important for normal function of both *** nephrotic syndrome,proteinuria leads to loss of several proteins,which in turn causes *** To assess the thyroid function in children with nephrotic *** This cross-sectional study was conducted in a tertiary center,Bhopal,from February 2020 to January *** children aged 1-15 years admitted with nephrotic syndrome(first-time diagnosed and all relapse cases)were included in the study.A thyroid profile was sent along with routine investigations,and thyroid hormone status was assessed in nephrotic syndrome *** Of the 70 patients,39(55.7%)showed abnormal thyroid profiles;19(27.1%)had overt hypothyroidism,and 20(28.6%)had subclinical *** hypothyroidism was seen in 16.1%of newly diagnosed cases,40%of second relapses,and 2.7%of frequently relapsed cases(P<0.001).The mean serum free T3 and free T4 levels in frequent relapses were 2.50±0.39 ng/dL and 0.78±0.12 ng/dL,respectively,which were significantly lower than in newly diagnosed cases(2.77±0.37 ng/dL and 0.91±0.19 ng/dL,respectively).The mean thyroidstimulating hormone(TSH)level was significantly higher in frequent relapses (5.86±1.56μIU/mL)and second relapse(5.81±1.78μIU/mL)than in newly diagnosed cases(4.83±0.76μIU/mL)and first relapse cases(4.74±1.17μIU/mL),(P<0.01).CONCLUSION An abnormal thyroid profile was commonly observed in children with nephrotic syndrome,and overt hypothyroidism was more common in frequent relapse ***,thyroid screening should be a part of the management of nephrotic syndrome so that hypothyroidism can be detected and managed at an early stage.

关键词： Nephrotic syndrome Hypothyroidism Proteinuria Children Steroid-sensitive nephrotic syndrome Steroidresistant nephrotic syndrome

Robust Facial Biometric Authentication System Using Pupillary Light Reflex for Liveness Detection of Facial Images

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 725-739页

作者： Puja S.Prasad Adepu Sree Lakshmi Sandeep Kautish Simar Preet Singh Rajesh Kumar shrivastava Abdulaziz S.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CSE Department Geethanjali College of EngineeringHyderabadTelangana501301India Department of Computer Science LBEF CampusKathmandu44600Nepal School of Computer Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

Pupil dynamics are the important characteristics of face spoofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different types of presentation attacks like print attacks,3D mask attacks,replay attacks,*** proposed model uses pupil characteristics for liveness detection during the authentication *** pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light *** proposed framework consists of two-phase *** the first phase,the pupil’s diameter is calculated by applying stimulus(light)in one eye of the subject and calculating the constriction of the pupil size on both eyes in different video *** above measurement is converted into feature space using Kohn and Clynes model-defined *** Support Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of pupil behavior due to the presence of printed photograph,video,or 3D mask of the subject in front of the *** the second phase,we perform the facial recognition ***-invariant feature transform(SIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the performance of the framework,we tested our model in two Face antispoofing datasets named Replay attack datasets and CASIA-SURF datasets,which were used because they contain the videos of the subjects in each sample having three modalities(RGB,IR,Depth).The CASIA-SURF datasets showed an 89.9%Equal Err

关键词： SIFT pupil CASIA-SURF pupillary light reflex replay attack dataset brute force

Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders—a comprehensive review

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International Journal of Oral Science 2023年第4期15卷 575-587页

作者： Mayank shrivastava Liang Ye Adams School of Dentistry University of North CarolinaChapel HillNCUSA Department of Rehabilitation Medicine University of Minnesota Medical SchoolMinneapolisMNUSA

Chronic Painful Temporomandibular Disorders(TMD)are challenging to diagnose and manage due to their complexity and lack of understanding of brain *** the past few decades’neural mechanisms of pain regulation and perception have been clarified by neuroimaging *** in the neuroimaging have bridged the gap between brain activity and the subjective experience of *** has also made strides toward separating the neural mechanisms underlying the chronic painful ***,Artificial Intelligence(AI)is transforming various sectors by automating tasks that previously required humans’intelligence to *** has started to contribute to the recognition,assessment,and understanding of painful *** application of AI and neuroimaging in understanding the pathophysiology and diagnosis of chronic painful TMD are still in its early *** objective of the present review is to identify the contemporary neuroimaging approaches such as structural,functional,and molecular techniques that have been used to investigate the brain of chronic painful TMD ***,this review guides practitioners on relevant aspects of AI and how AI and neuroimaging methods can revolutionize our understanding on the mechanisms of painful TMD and aid in both diagnosis and management to enhance patient outcomes.

关键词： diagnosis artificial separating

Pixel-Level Feature Extraction Model for Breast Cancer Detection

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Computers, Materials & Continua 2023年第2期74卷 3371-3389页

作者： Nishant Behar Manish shrivastava Guru Ghasidas Vishvavidyalaya Bilaspur45009India

Breast cancer is the most prevalent cancer among women,and diagnosing it early is vital for successful *** examination of images captured during biopsies plays an important role in determining whether a patient has cancer or ***,the stochastic patterns,varying intensities of colors,and the large sizes of these images make it challenging to identify and mark malignant regions in *** this backdrop,this study proposes an approach to the pixel categorization based on the genetic algorithm(GA)and principal component analysis(PCA).The spatial features of the images were extracted using various filters,and the most prevalent ones are selected using the GA and fed into the classifiers for pixel-level *** classifiers—random forest(RF),decision tree(DT),and extra tree(ET)—were used in the proposed *** parameters of all modelswere separately tuned,and their performance was *** results show that the features extracted by using the GA+PCA in the proposed model are influential and reliable for pixel-level classification in service of the image annotation and tumor ***,an image from benign,malignant,and normal classes was randomly selected and used to test the proposed *** proposed modelGA-PCA-DT has delivered accuracies between 0.99 to 1.0 on a reduced feature *** predicted pixel sets were also compared with their respective ground-truth values to assess the overall performance of the method on two metrics—the universal image quality index(UIQI)and the structural similarity index(SSI).Both quality measures delivered excellent results.

关键词： Breast cancer machine learning classification feature extraction feature selection

ResNet50-Based Effective Model for Breast Cancer Classification Using Histopathology Images

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 823-839页

作者： Nishant Behar Manish shrivastava Department of Computer Science&Engineering GGVBilaspur495009India

Breast cancer is considered an immense threat and one of the leading causes of mortality in *** is curable only when detected at an early stage.A standard cancer diagnosis approach involves detection of cancer-related anomalies in tumour histopathology *** depends on the accurate identification of the landmarks in the visual artefacts present in the slide *** are continuously striving to develop automatic machine-learning algorithms for processing medical images to assist in tumour ***,computerbased automated systems play an important role in cancer image analysis and help healthcare experts make rapid and correct inferences about the type of *** study proposes an effective convolutional neural networkbased(CNN-based)model that exploits the transfer-learning technique for automatic image classification between malignant and benign tumour,using histopathology ***50 architecture has been trained on new dataset for feature extraction,and fully connected layers have been fine-tuned for achieving highest training,validation and test *** result illustrated state-of-the-art performance of the proposed model with highest training,validation and test accuracies as 99.70%,99.24%and 99.24%,*** accuracy is increased by 0.66%and 0.2%when compared with similar recent studies on training and test data *** precision and F1 score have also improved,and receiver operating characteristic(RoC)area has been achieved to 99.1%.Thus,a reliable,accurate and consistent CNN model based on pre-built Resnet50 architecture has been developed.

关键词： Classification histopathology images convolutional neural network breast cancer breakHis