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| http://dx.doi.org/10.1016/j.hrcr.2020.05.021 | DOI Listing |
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World Neurosurg
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Department of Neurosurgery, Emory University, Atlanta, Georgia, USA; Department of Otolaryngology, Emory University, Atlanta, Georgia, USA. Electronic address:
Background: Giant pituitary neuroendocrine tumor (GPitNET) are challenging tumors with low rates of gross total resection (GTR) and high morbidity. Previously reported machine-learning (ML) models for prediction of pituitary neuroendocrine tumor extent of resection (EOR) using preoperative imaging included a heterogenous dataset of functional and non-functional pituitary neuroendocrine tumors of various sizes leading to variability in results.
Objective: The aim of this pilot study is to construct a ML model based on the multi-dimensional geometry of tumor to accurately predict the EOR of non-functioning GPitNET.
How Does Diploic Space Thickness Change With Age?
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Division of Plastic and Reconstructive Surgery, The Warren Alpert Medical School of Brown University.
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Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
A 44-year-old man with a history of facioscapulohumeral muscular dystrophy and pectus excavatum presented with multiyear history of progressive, severe respiratory dysfunction, pain, recurrent respiratory infection, and chest wall deformity. With bioprosthetic engineers, the surgical team customized a 3-dimensional printed model of a sternal implant interacting with the patient's anatomy. After approval from the Food and Drug Administration, the customized sternal plates were created and implanted in a sternal reconstruction operation.
View Article and Find Full Text PDFTricuspid Anteroposterior Patch Repair: Optimization of Patch Geometry in an Ex Vivo Model.
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Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Transcription factor prediction using protein 3D secondary structures.
Bioinformatics
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Institute for Computational Systems Biology, Universität Hamburg, Hamburg, 22761, Germany.
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