Publications by authors named "Franklin Iheanacho"

Background: From 2007 to 2017, sorafenib was the sole systemic therapy for hepatocellular carcinoma (HCC), but nine new therapies were approved from 2017 to 2022. No studies have yet examined population-level treatment patterns for HCC since these approvals.

Methods: For this retrospective cohort, Surveillance, Epidemiology, and End Results (SEER)-Medicare data were used to identify patients who had HCC diagnosed between 2014 and 2019 with claims through 2020.

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Background: Increasing the diversity of plastic surgery trainees is an important step in providing optimal care for our increasingly diverse patient populations. Given that information presented on residency programs' websites can strongly influence applicants' decisions to apply to or rank a program, demonstrating a commitment to diversity, equity, and inclusion (DEI) on program websites may aid in recruiting applicants with URM background.

Methods: Using 8 DEI-related criteria, we evaluated the websites of 103 plastic surgery residency programs for the presence of DEI-related content during the month of June 2022.

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Carcinoid syndrome arises from neuroendocrine tumors, characterized by the presence of neurosecretory granules. The diagnosis of carcinoid syndrome involves biochemical testing and various imaging techniques. We report the case of a 62-year-old man with Parkinson's Disease who was found to have new-onset cirrhosis and multiple hepatic lesions with necrosis on CT imaging.

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Purpose: To evaluate the relationship between prospectively generated ablative margin estimates and local tumor progression (LTP) among patients undergoing microwave ablation (MWA) of small renal masses (SRMs).

Materials And Methods: Between 2017 and 2020, patients who underwent MWA for SRM were retrospectively identified. During each procedure, segmented kidney and tumor shapes were coregistered with intraprocedural helical CT images obtained after microwave antenna placement.

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Objectives: We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care unit (ICU).

Methods: Six hundred fifty-four patients (212 deceased, 442 alive, 5645 total CXRs) were identified across two institutions. Imaging and clinical data from one institution were used to train five longitudinal transformer-based networks applying five-fold cross-validation.

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