Publications by authors named "Ghar M"

Article Synopsis
  • Trauma and accidental injuries are a major global health concern, with India experiencing the highest road accident deaths, accounting for 11% of the world's total.
  • A study from January 2023 to January 2024 analyzed wound samples from road traffic accident (RTA) patients in a northern Indian tertiary care center to assess bacterial contamination and antibiotic susceptibility.
  • Out of 189 samples, 52.38% showed microbial growth, predominantly Gram-negative bacilli, with none being resistant to colistin; 26.45% of patients developed sepsis, linked to raised procalcitonin levels and low Glasgow Coma Scale scores.
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  • Prostate cancer (PC) is a common and serious cancer in men, but current diagnostic methods like biopsies have drawbacks in invasiveness and accuracy.
  • This study introduces a machine learning technique that uses clinical data and personalized questionnaires to improve PC diagnosis, employing various advanced methods including CNNs for tabular data analysis.
  • The proposed approach shows impressive results with an F1-score of 0.907 and AUC of 0.911, indicating a potential for accurate PC detection without invasive and expensive tests.
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  • Burkholderia spp., which are opportunistic pathogens, primarily infect individuals with compromised immune systems; this study examined how these bacteria cause blood infections (bacteremia) in patients from a northern Indian university hospital over one year.
  • Among 300 patients, the average age was about 34 years, with a majority being male; underlying malignancies were the most common diagnosis, and all patients had catheters, with Burkholderia cenocepacia being the most frequently isolated type.
  • Factors such as kidney disease, hypertension, type 2 diabetes, and respiratory disease increased the risk of death from these infections, while patients with malignancies often had better outcomes if the bacteria were treatable with antibiotics.
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Introduction: species are emerging bacteria capable of causing nosocomial infections in immunocompromised patients or patients with indwelling medical devices.

Hypothesis/ Gap Statement: Information about the incidence of bacteremia from worldwide literature is limited.

Aim: We aimed to recognize the clinical characteristics, frequency of distribution of different species isolates, and their antimicrobial susceptibility profile from bloodstream infections.

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Introduction: is a Gram-negative, motile, obligate aerobic and non-fermentative bacterium. It is an emerging pathogen in the hospital environment as it is frequently found in various solutions.

Hypothesis/gap Statement: Information about the incidence and risk factors of bacteremia from India is limited.

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Early diagnosis of transplanted kidney function requires precise Kidney segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In this regard, this paper aims to propose an automated and accurate DCE-MRI kidney segmentation method integrating fuzzy c-means (FCM) clustering and Markov random field modeling into a level set formulation. The fuzzy memberships, kidney's shape prior model, and spatial interactions modeled using a second-order MRF guide the LS contour evolution towards the target kidney.

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Appropriate treatment of bladder cancer (BC) is widely based on accurate and early BC staging. In this paper, a multiparametric computer-aided diagnostic (MP-CAD) system is developed to differentiate between BC staging, especially T1 and T2 stages, using T2-weighted (T2W) magnetic resonance imaging (MRI) and diffusion-weighted (DW) MRI. Our framework starts with the segmentation of the bladder wall (BW) and localization of the whole BC volume (V) and its extent inside the wall (V).

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There are many acute and chronic infections affecting the urinary tract including bacterial, fungal and viral infections. Urinary tract infections (UTIs) can present in many different patterns with variable degrees of severity varying from asymptomatic and uncomplicated forms to life threatening complicated infections. Cross-sectional imaging techniques-including both computed tomography (CT) and magnetic resonance imaging (MRI)-have become very important tools not only for evaluation of UTIs, but also for detection of associated complications.

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Purpose: Early assessment of renal allograft function post-transplantation is crucial to minimize and control allograft rejection. Biopsy - the gold standard - is used only as a last resort due to its invasiveness, high cost, adverse events (e.g.

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This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the fusion of both imaging markers and clinical biomarkers. The former are derived from diffusion-weighted magnetic resonance imaging (DW-MRI) by estimating the apparent diffusion coefficients (ADC) representing the perfusion of the blood and the diffusion of the water inside the transplanted kidney.

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Background: is a hospital environment contaminant and can cause healthcare-associated infections.

Methods: Patients with infections in a tertiary care center in North India for 6 months were evaluated for susceptibility patterns, comorbidities, mechanical devices, risk factors, and treatment outcomes. The organism was provisionally identified phenotypically, and identification was confirmed by the BD Phoenix automated microbiology system.

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Objective: Early diagnosis of acute renal transplant rejection (ARTR) is critical for accurate treatment. Although the current gold standard, diagnostic technique is renal biopsy, it is not preferred due to its invasiveness, long recovery time (1-2 weeks), and potential for complications, e.g.

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Purpose: To compare the efficacy of three chemoprophylaxis approaches in prevention of post-transrectal biopsy infectious complications (TBICs).

Methods: Patients were randomly assigned to receive ciprofloxacin 3 days 500 mg B.I.

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Species of the genus are emerging healthcare-associated pathogens, often colonizing the hospital environment. There are no clear guidelines available for antimicrobial susceptibility of this organism. In this report we present the first case, to our knowledge, of simultaneous central-line-associated bloodstream infection (CLABSI) and ventilator-associated pneumonia (VAP) due to from India.

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Objective: To study the relation between junctional zone thickness (JZ) and success of implantation in IVF/ICSI cycles.

Study Design: A prospective study included 100 infertility patients undergoing ICSI. The long protocol was used in all patients.

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Early detection of prostate cancer increases chances of patients' survival. Our automated non-invasive system for computer-aided diagnosis (CAD) of prostate cancer segments the prostate on diffusion-weighted magnetic resonance images (DW-MRI) acquired at different b-values, estimates its apparent diffusion coefficients (ADC), and classifies their descriptors - empirical cumulative distribution functions (CDF) - with a trained deep learning network. To segment the prostate, an evolving geometric (level-set-based) deformable model is guided by a speed function depending on intensity attributes extracted from the DW-MRI with nonnegative matrix factorization (NMF).

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Objective: To evaluate the protective effects of selenium with vitamins A, C and E (selenium ACE, i.e. antioxidants), verapamil (calcium channel blocker), and losartan (angiotensin receptor blocker) against extracorporeal shockwave lithotripsy (ESWL)-induced renal injury.

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Background: We describe the antimicrobial susceptibility pattern of 64 blood stream isolates of Salmonella enterica serotypes Typhi and Paratyphi A studied from January 2013 to December 2014 at a tertiary care centre in North India.

Methods: Isolates were identified by standard biochemical reactions and confirmed by slide agglutination using specific antisera. Antimicrobial susceptibility testing was performed by Kirby-Bauer disc diffusion method and by E-test.

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Purpose: We studied acute renal morphological and hemodynamic changes after shock wave lithotripsy of renal stones.

Materials And Methods: A total of 60 adult patients with a single renal stone 25 mm or less in a radiologically normal urinary tract were eligible for shock wave lithotripsy and included in analysis. Study exclusion criteria were hypertension, diabetes mellitus, previous recent stone management and other contraindications to shock wave lithotripsy.

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We present a case of left ectopic ureter insertion into the left seminal vesicle which is a rare anomaly. The incidence of ectopic insertion of the ureter is more common in females and is usually associated with incontinence, leading to the diagnosis, while in males it is present with infection. Ectopic ureter is defined as abnormal insertion of the ureter, occurring in the posterior urethra in approximately 50% of cases in males.

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A novel framework for the classification of acute rejection versus nonrejection status of renal transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed. The framework consists of four steps. First, kidney objects are segmented from adjacent structures with a level set deformable boundary guided by a stochastic speed function that accounts for a fourth-order Markov-Gibbs random field model of the kidney/background shape and appearance.

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Although the definite etiopathogenesis of systemic lupus erythematosus (SLE) remains unclear, many different mechanisms may contribute to its pathogenesis. Tumor-necrosis factor-related apoptosis-inducing ligand (TRAIL) is a member of the tumor necrosis factor (TNF) family with pro-apoptotic activity. The accumulation of apoptotic cell debris has been hypothesized to induce the autoimmune inflammation in SLE, and TRAIL may trigger this programmed cell death.

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Accurate automatic extraction of a 3-D cerebrovascular system from images obtained by time-of-flight (TOF) or phase contrast (PC) magnetic resonance angiography (MRA) is a challenging segmentation problem due to the small size objects of interest (blood vessels) in each 2-D MRA slice and complex surrounding anatomical structures (e.g., fat, bones, or gray and white brain matter).

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Kidney segmentation is a key step in developing any noninvasive computer-aided diagnosis (CAD) system for early detection of acute renal rejection. This paper describes a new 3-D segmentation approach for the kidney from computed tomography (CT) images. The kidney borders are segmented from the surrounding abdominal tissues with a geometric deformable model guided by a special stochastic speed relationship.

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An alternative method of diagnosing malignant lung nodules by their shape, rather than conventional growth rate, is proposed. The 3D surfaces of the detected lung nodules are delineated by spherical harmonic analysis that represents a 3D surface of the lung nodule supported by the unit sphere with a linear combination of special basis functions, called Spherical Harmonics (SHs). The proposed 3D shape analysis is carried out in five steps: (i) 3D lung nodule segmentation with a deformable 3D boundary controlled by a new prior visual appearance model; (ii) 3D Delaunay triangulation to construct a 3D mesh model of the segmented lung nodule surface; (iii) mapping this model to the unit sphere; (iv) computing the SHs for the surface; and (v) determining the number of the SHs to delineate the lung nodule.

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