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Purpose: The greater palatine foramen (GPF) represents the inferior opening of the greater palatine canal and is located posterolaterally on both sides of the hard palate. The aim of this study is to morphometrically characterise the GPF and to determine its anatomical relationships in a Portuguese population.

Methods: A retrospective study was performed based on the clinical records which included all permanent teeth erupted and a cone beam computed tomography (CBCT) of the entire maxilla.

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Introduction: The anterior division of the internal iliac artery (ADIIA) is a crucial vascular structure that supplies blood to the pelvic organs, perineum, and gluteal region. The present study demonstrates practical data concerning the anatomy of the ADIIA and its branches. It is hoped that the results of the current study may aid in localizing the pelvic arteries effectively.

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Accelerated Endosomal Escape of Splice-Switching Oligonucleotides Enables Efficient Hepatic Splice Correction.

ACS Appl Mater Interfaces

January 2025

Faculty of Life Sciences, Department of Pharmaceutical Sciences, Laboratory of Macromolecular Cancer Therapeutics (MMCT), University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.

Splice-switching oligonucleotides (SSOs) can restore protein functionality in pathologies and are promising tools for manipulating the RNA-splicing machinery. Delivery vectors can considerably improve SSO functionality in vivo and allow dose reduction, thereby addressing the challenges of RNA-targeted therapeutics. Here, we report a biocompatible SSO nanocarrier, based on redox-responsive disulfide cross-linked low-molecular-weight linear polyethylenimine (cLPEI), for overcoming multiple biological barriers from subcellular compartments to en-route serum stability and finally in vivo delivery challenges.

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Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.

Radiology

January 2025

From the Department of Radiology, University of Washington, UW Medical Center-Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington, Seattle, Wash (D.M.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (M.v.A.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (M.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (T.L., E.E.W.); Departments of Cardiology and Radiology, Royal Brompton Hospital, London, United Kingdom (E.D.N.); School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom (E.D.N.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (B.D.A.); Department of Radiology, University of Cagliari, Cagliari, Italy (L.S.); Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1 Postbus 30 001, 9700 RB Groningen, the Netherlands (R.V.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada (K.H.).

Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI.

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Association of Obesity and Skeletal Muscle with Postoperative Survival in Non-Small Cell Lung Cancer.

Radiology

January 2025

From the Department of Radiology (J.H.L.) and Department of Thoracic and Cardiovascular Surgery (J.L., Y.J.J., S.Y.P., J.H.C., Y.S.C., J.K., Y.M.S., H.K.K.), Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea; Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul 06355, Korea (D.K., J.L., S.Y.P., S.K., J.C.); Center for Clinical Epidemiology, Sungkyunkwan University, Samsung Medical Center, Seoul, Korea (D.K., J.C.); Patient-Centered Outcomes Research Institute, Samsung Medical Center, Seoul, Korea (J.L., Y.M.S., S.K., H.K.K., J.C.); and Department of Epidemiology and Medicine, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (J.C.).

Background A comprehensive assessment of skeletal muscle health is crucial to understanding the association between improved clinical outcomes and obesity as defined by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) in lung cancer, but limited studies have been conducted on this topic. Purpose To investigate the association between BMI-defined obesity and survival in patients with non-small cell lung cancer who underwent curative resection, with a specific focus on the status of skeletal muscle assessed at CT. Materials and Methods This retrospective study investigated Korean patients with non-small cell lung cancer who underwent curative resection between January 2008 and December 2019.

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