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Lung Cancer Screening in the Incarcerated Population Through a Community Imaging Partnership.
J Correct Health Care
January 2025
Departments of Medicine and Pediatrics, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Limited data exist on cancer screening in carceral facilities. This study evaluates the feasibility and outcomes of a population-based lung cancer screening initiative in a carceral setting. This is a retrospective review of a lung cancer screening event at the Rhode Island Department of Corrections.
View Article and Find Full Text PDFIn Reply to the Letter to the Editor Regarding: Predictors of 30-Day Mortality for Surgically Treated Patients with Spontaneous Supratentorial Intracerebral Hemorrhage and Validation of the Surgical Swedish Intracerebral Hemorrhage Score: A Retrospective Single-Center Analysis of 136 Cases.
World Neurosurg
December 2024
Department of Neurosurgery and Neurooncology, Medical University of Łódź, Barlicki University Hospital Kopcińskiego 22, Łódź, Poland. Electronic address:
Reply: Update on Ultrasound Diagnostic Criteria and New Ultrasound Severity and Activity Scorings of Hidradenitis Suppurativa: Modified SOS-HS and US-HAS.
J Ultrasound Med
December 2024
AST Ancona, Ospedale di Comunità Maria Montessori di Chiaravalle, Ancona, Italy.
Patient reported outcomes after laparoscopic appendectomy for acute appendicitis.
Langenbecks Arch Surg
December 2024
Department of Surgery, Odense University Hospital, Odense, Denmark.
Purpose: The purpose of this study is to establish more evidence to provide the clinicians with a greater knowledge on the patient reported outcomes and quality of life (QoL) after laparoscopic appendectomy (LA).
Method: 105 patients who had undergone LA for acute appendicitis regardless of severity, were included prospectively at Odense University Hospital, Svendborg. The patient reported consequence of surgery were assessed through the validated electronic survey from European-QoL questionnaire (5Q-5D-5L) including a self-reported VAS-score (0-100).
Deep learning algorithm on H&E whole slide images to characterize alterations frequency and spatial distribution in breast cancer.
Comput Struct Biotechnol J
December 2024
Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
The tumor suppressor is frequently mutated in hormone receptor-negative, HER2-positive breast cancer (BC), contributing to tumor aggressiveness. Traditional ancillary methods like immunohistochemistry (IHC) to assess functionality face pre- and post-analytical challenges. This proof-of-concept study employed a deep learning (DL) algorithm to predict mutational status from H&E-stained whole slide images (WSIs) of BC tissue.
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