Publications by authors named "Lokesh Bhardwaj"

Los Angeles County has a high prevalence of chronic hepatitis C virus (HCV) infection, but resources and infrastructure to notify and increase treatment uptake among county residents are absent. Through an innovative academic-public partnership, we developed a linkage-to-cure program utilizing the Department of Public Health's HCV surveillance registry. Case workers contacted reported cases via phone, to offer education, and treatment referral.

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Introduction: Image segmentation is an important process for quantifying characteristics of malignant bone lesions, but this task is challenging and laborious for radiologists. Deep learning has shown promise in automating image segmentation in radiology, including for malignant bone lesions. The purpose of this review is to investigate deep learning-based image segmentation methods for malignant bone lesions on Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron-Emission Tomography/CT (PET/CT).

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Purpose: To determine the cost-effectiveness of Contrast-Enhanced Ultrasound (ceUS) for the active surveillance of complex renal masses compared to the more established imaging modalities of CT and MRI.

Methods: A decision-analytic Markov state microsimulation model was constructed in TreeAge Pro. We simulated independent cohorts of 100,000 60-year-old individuals with either a Bosniak IIF or Bosniak III complex renal mass who were followed for 10 years or until death.

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Context: During robotic partial nephrectomy (RPN), various techniques of hilar control have been described, including on-clamp, early unclamping, selective/super-selective clamping, and completely-unclamped RPN.

Objective: To evaluate the impact of various hilar control techniques on perioperative, functional, and oncological outcomes of RPN for tumors.

Evidence Acquisition: We conducted a systematic literature review and meta-analysis of all comparative studies on various hilar control techniques during RPN using PubMed, Scopus, and Web of Science according to the Preferred Reporting Items for Systematic Review and Meta-analysis statement, and Methods and Guide for Effectiveness and Comparative Effectiveness Review of the Agency for Healthcare Research and Quality.

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