Publications by authors named "Tanvi V Joshi"

Enhanced Recovery after Surgery (ERAS) is an evidence-based approach that aims to reduce narcotic use and maintain anabolic balance to enable full functional recovery. Our primary aim was to determine the effect of ERAS on narcotic usage among patients who underwent exploratory laparotomy by gynecologic oncologists. We characterized its effect on length of stay, intraoperative blood transfusions, bowel function, 30-day readmissions, and postoperative complications.

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Objectives: This study aimed to assess the association between hormone replacement therapy and the incidence of subsequent malignancies in patients who underwent risk-reducing salpingo-oophorectomy and had mutations predisposing them to Müllerian cancers.

Methods: This Institutional Review Board-approved retrospective study was performed at five academic institutions. Women were included if they were age 18-51 years, had one or more confirmed germline highly penetrant pathogenic variants, and underwent risk-reducing salpingo-oophorectomy.

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Objective: To evaluate the effects of race and insurance status on the use of brachytherapy for treatment of cervical cancer.

Methods: This is a retrospective cohort study of the National Cancer Database. We identified 25,223 patients diagnosed with stage IB2 through IVA cervical cancer who received radiation therapy during their primary treatment from 2004 to 2015.

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Cancer is a complex disease involving processes at spatial scales from subcellular, like cell signalling, to tissue scale, such as vascular network formation. A number of multiscale models have been developed to study the dynamics that emerge from the coupling between the intracellular, cellular and tissue scales. Here, we develop a continuum partial differential equation model to capture the dynamics of a particular multiscale model (a hybrid cellular automaton with discrete cells, diffusible factors and an explicit vascular network).

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Over the years, agent-based models have been developed that combine cell division and reinforced random walks of cells on a regular lattice, reaction-diffusion equations for nutrients and growth factors; and ordinary differential equations for the subcellular networks regulating the cell cycle. When linked to a vascular layer, this multiple scale model framework has been applied to tumour growth and therapy. Here, we report on the creation of an agent-based multi-scale environment amalgamating the characteristics of these models within a Virtual Physiological Human (VPH) Exemplar Project.

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