Publications by authors named "G Chao"

Purpose: Recent clinical advances with the approval of antibody-drug conjugates targeting Trop-2 such as sacituzumab-govitecan and datopotomab-deruxtecan have garnered tremendous interest for their therapeutic efficacy in numerous tumor types including breast and lung cancers. ImmunoPET can stratify tumor avidity, clarifying patient eligibility for ADC therapy as well as a diagnostic companion during therapy. Slow antibody circulation requires days to reach optimal imaging timepoints.

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Non-alcoholic fatty liver disease (NAFLD), now recognized as metabolic dysfunction-associated steatotic liver disease (MASLD), represents a significant and escalating global health challenge. Its prevalence is intricately linked to obesity, insulin resistance, and other components of the metabolic syndrome. As our comprehension of MASLD deepens, it has become evident that this condition extends beyond the liver, embodying a complex, multi-systemic disease with hepatic manifestations that mirror the broader metabolic landscape.

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Objectives: It is significant to know how much early detection and screening could reduce the proportion of occult metastases and benefit NSCLC patients.

Methods: We used previously designed and validated mathematical models to obtain the characteristics of LC in the population including undetectable metastases at the time of diagnosis. The survival was simulated using the survival functions from Surveillance, Epidemiology and End Results (SEER) data stratified by stage.

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Article Synopsis
  • A multi-index nomogram prediction model was developed to assess clinically significant prostate cancer by integrating PI-RADS V2.1 scores, quantitative MRI parameters, and clinical factors in a study involving over 2000 patients.
  • The model's effectiveness was evaluated using various statistical methods, including AUC (Area Under the Curve), revealing high sensitivity and specificity, particularly with two models: one combining PI-RADS and PSAD, and another that added ADCmean.
  • Validation results indicated strong performance in predicting CSPCa across both internal and external cohorts, with no significant difference found between predicted and actual probabilities, supporting the model's reliability.
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Background: Use of online crowdfunding to mitigate health-related cost burden is common in the US, but its usage among candidates for metabolic and bariatric surgery (MBS) is unknown. We aimed to identify GoFundMe campaigns fundraising for MBS and characterize sources of financial strain. We also aimed to determine factors associated with successful crowdfunding.

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