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Retraction Note: Downregulation of beta-catenin in chemo-tolerant TNBC through changes in receptor and antagonist profiles of the WNT pathway: Clinical and prognostic implications.
Cell Oncol (Dordr)
January 2025
Department of Oncogene Regulation, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, West Bengal, 700026, India.
Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.
Radiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
View Article and Find Full Text PDFA novel case of glial transdifferentiation in renal medullary carcinoma brain metastasis.
Acta Neuropathol Commun
January 2025
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center Unit 1374, 1155 Pressler St, Houston, TX, 77030-3721, USA.
Renal medullary carcinoma is a rare undifferentiated tumor of the kidney associated with sickle cell trait and characterized by INI1 (SMARCB1) loss. Although metastasis to lungs, lymph nodes, and bone is commonly reported, distant spread to the central nervous system almost never occurs. Here we present an unusual case of a patient with renal medullary carcinoma with metastasis to the brain following treatment which included tazemetostat, an EZH2 inhibitor.
View Article and Find Full Text PDFStandardized Note Template Expedites Completion of Consults for Surgical Fetal Anomalies.
J Surg Res
January 2025
Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas; Division of Pediatric Surgery, Department of Surgery, Texas Children's Hospital, Houston, Texas. Electronic address:
Introduction: We developed standardized electronic medical record templates (EMR-temp) for use in ambulatory prenatal surgical consultations for surgical fetal anomalies (SFAs). Our aim was to evaluate EMR-temp impact in provider documentation in prenatal care of SFA.
Methods: Prenatal consultations for SFAs at a single institution were retrospectively reviewed (2019-2022).
Electrophisiological monitoring of pain in non-communicative critically ill patients.
Enferm Intensiva (Engl Ed)
January 2025
Grupo de Trabajo de Analgesia, Sedación, Contenciones y Delirio de la Sociedad Española de Enfermería Intensiva y Unidades Coronarias (GT-ASCyD-SEEIUC), Spain; Área del paciente crítico, Reanimación y Anestesia, Hospital Universitario de Girona Dr. Josep Trueta, Girona, Spain; Departamento de Enfermería, Universitat de Girona (UdG), Girona, Spain.
Electrophysiological monitoring of pain provides objective measures that allow for pain control and adjustment of analgesia in non-communicative patients. Among the available electrophysiological devices, automated infrared pupillometry, Analgesia Nociception Index (ANI), and Nociception Level Index (NOL®) stand out. These non-invasive measurement systems analyze the sympathetic or parasympathetic nervous system response to painful stimuli by observing pupillary dilatation and reactivity (pupillometry), heart rate during respiration (ANI), or a combination of multiple parameters from the nociceptive-autonomic medullary circuit (NOL®).
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