Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages.

Background High-quality translations of radiology reports are essential for optimal patient care. Because of limited availability of human translators with medical expertise, large language models (LLMs) are a promising solution, but their ability to translate radiology reports remains largely unexplored. Purpose To evaluate the accuracy and quality of various LLMs in translating radiology reports across high-resource languages (English, Italian, French, German, and Chinese) and low-resource languages (Swedish, Turkish, Russian, Greek, and Thai).

Adjuvant High-Dose Erythropoietin With Delayed Therapeutic Hypothermia in Neonatal Hypoxic-Ischemic Encephalopathy.

Background: To evaluate the benefits of high-dose erythropoietin (EPO) combined with therapeutic hypothermia (TH) on brain magnetic resonance imaging (MRI) scores and neurodevelopmental outcomes in neonates with moderate to severe hypoxic-ischemic-ecephalopathy (HIE), especially in neonates who received TH between six to 12 hours of birth.

Methods: This prospective, single-blind, randomized, placebo-controlled trial enrolled term newborns with moderate to severe HIE admitted to neonatal intensive care unit between April 2018 and April 2022. Hypothermia was started within 12 hours of birth.

Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine.

Introduction: Artificial Intelligence (AI) has made a profound impact on the medical sector, particularly in radiology. The integration of AI knowledge into medical education is essential to equip future healthcare professionals with the skills needed to effectively leverage these advancements in their practices. Despite its significance, many medical schools have yet to incorporate AI into their curricula.

Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.

Purpose: To assess the efficacy of radiomics features extracted from non-contrast computed tomography (NCCT) scans in differentiating multiple etiologies of spontaneous intracerebral hemorrhage (ICH).

Methods: CT images and clinical data from 141 ICH patients from 2010 to 2022 were collected. The cohort comprised primary (n = 57), tumorous (n = 46), and vascular malformation-related ICH (n = 38).

Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement.

Objective: This study investigated the feasibility of using deep learning-based super-resolution (DL-SR) technique on low-resolution (LR) images to generate high-resolution (HR) MR images with the aim of scan time reduction. The efficacy of DL-SR was also assessed through the application of brain volume measurement (BVM).

Materials And Methods: In vivo brain images acquired with 3D-T1W from various MRI scanners were utilized.

Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI.

Purpose: Propeller fast-spin-echo diffusion magnetic resonance imaging (FSE-dMRI) is essential for the diagnosis of Cholesteatoma. However, at clinical 1.5 T MRI, its signal-to-noise ratio (SNR) remains relatively low.

The RSNA Cervical Spine Fracture CT Dataset.

This dataset is composed of cervical spine CT images with annotations related to fractures; it is available at https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/.

Comparative analysis between different volumetric methods on measuring intracranial hemorrhage incorporating roundness index.

Intracranial hematoma (ICH) volume is considered a predictor of clinical outcome and mortality rate in ICH patients with traumatic brain injury (TBI). The ABC/2 method for ICH volume is the standard method used to date, however, its level of accuracy has been questioned in some studies. This study compared the performance of the ABC/2 method with planimetry and truncated pyramidal methods to highlight the potential of the planimetry method applied with automatic segmentation for evaluation of epidural hematoma (EDH) and intraparenchymal hematoma (IPH) volume.

A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage.

Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investigation and recognition by physicians. Computed tomography (CT) scanning is the investigation of choice for TBI and has become increasingly utilized under the shortage of trained radiology personnel. It is anticipated that deep learning models will be a promising solution for the generation of timely and accurate radiology reports.

A Founder Intronic Variant in Likely Results in Aberrant Splicing and Protein Truncation in Patients of Karen Descent with Osteogenesis Imperfecta Type VIII.

One of the most important steps in post-translational modifications of collagen type I chains is the hydroxylation of carbon-3 of proline residues by prolyl-3-hydroxylase-1 (P3H1). Genetic variants in have been reported to cause autosomal recessive osteogenesis imperfecta (OI) type VIII. Clinical and radiographic examinations, whole-exome sequencing (WES), and bioinformatic analysis were performed in 11 Thai children of Karen descent affected by multiple bone fractures.

Clinical and Genetic Studies of the First Monozygotic Twins with Pfeiffer Syndrome.

Objective: To report the clinical and radiographic findings and molecular etiology of the first monozygotic twins affected with Pfeiffer syndrome. Methods: Clinical and radiographic examination and whole exome sequencing were performed on two monozygotic twins with Pfeiffer syndrome. Results: An acceptor splice site mutation in FGFR2 (c.

Diagnostic Values of Red Flags and a Clinical Prediction Score for Emergent Intracranial Lesions in Non-Traumatic Pediatric Headaches.

Introduction: Diagnosis of emergent intracranial lesions that require emergency treatment either medically or surgically in non-traumatic pediatric headaches is important. Red-flag signs and symptoms are commonly used as justification for neuroimaging; however, evidence on its diagnostic values is limited. The study aims to identify diagnostic values of red-flags and develop a clinical prediction score to help improve the diagnostic yield of neuroimaging.

Diffuse neonatal hemangiomatosis with a single atypical cutaneous hemangioma.

Diffuse neonatal hemangiomatosis (DNH) is an extremely rare but deadly neonatal condition which presents as multiple cutaneous hemangiomas and hemangiomas in 3 or more visceral organs. DNH is usually suspected when multiple hemangiomas are found on the skin of the baby. We hereby present an interesting case in a newborn whose diagnosis was made from multiple intracranial, hepatic, and intramuscular hemangiomas, but with a single and unusual cutaneous manifestation over the right ankle.

Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

The most common cause of long-term disability and death in young adults is a traumatic brain injury. The decision for surgical intervention for craniotomy is dependent on the injury type and the patient's neurologic exam. The potential subtypes of intracranial hemorrhage that may necessitate surgical intervention include subdural hemorrhage, epidural hemorrhage, and intraparenchymal hemorrhage.

Circulating Lipocalin-2 level is positively associated with cognitive impairment in patients with metabolic syndrome.

The association between Lipocalin-2 (LCN2) and cognition in patients with metabolic syndrome (MetS) has not been thoroughly investigated. We aimed to evaluate whether serum LCN2 levels are associated with the alteration of cognitive function in patients with MetS. The total of 191 non-demented participants with MetS were enrolled onto the study in 2015, and a cohort study was conducted in a subpopulation in 2020.

An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury.

Traumatic Brain Injury (TBI) could lead to intracranial hemorrhage (ICH), which has now been identified as a major cause of death after trauma if it is not adequately diagnosed and properly treated within the first 24 hours. CT examination is widely preferred for urgent ICH diagnosis, which enables the fast identification and detection of ICH regions. However, the use of it requires the clinical interpretation by experts to identify the subtypes of ICH.

Feasibility of accelerated 3D T1-weighted MRI using compressed sensing: application to quantitative volume measurements of human brain structures.

Objective: Scan time reduction is necessary for volumetric acquisitions to improve workflow productivity and to reduce motion artifacts during MRI procedures. We explored the possibility that Compressed Sensing-4 (CS-4) can be employed with 3D-turbo-field-echo T1-weighted (3D-TFE-T1W) sequence without compromising subcortical measurements on clinical 1.5 T MRI.

A novel P3H1 mutation is associated with osteogenesis imperfecta type VIII and dental anomalies.

Objective: Our objective was to investigate the molecular etiology of osteogenesis imperfecta type VIII and dental anomalies in 4 siblings of a Karen tribe family.

Materials And Methods: Four patients and their unaffected parents were studied by clinical and radiographic examination. In situ hybridization of P3h1 during early murine tooth development, whole-exome sequencing, and Sanger direct sequencing were performed.

The relationship between external bony defects and widened lateral interorbital distance in frontoethmoidal encephalomeningocele.

Purpose: The aim of this study was to identify the prevalence of the abnormal lateral interorbital distance (LIOD), micropthalmia or anopthalmia and incidence of hydrocephalus in frontoethmoidal encephalomeningocele (FEEM), and to identify the correlation between the external bony defects and a widened lateral orbital wall.

Materials And Methods: FEEM patients who were treated in the Faculty of Medicine, Chiang Mai University between January 1, 2006, and December 31, 2016, were retrospectively reviewed from the medical records. We included the patients who had undergone head computed tomography (CT) of the facial bones.

Sphenoid Sinus Diseases: A Review of 1,442 Patients.

Objective: To review and report diseases of the sphenoid sinus from the literature and from a university hospital.

Methods: Inpatients' data were retrospectively gathered and reviewed from January 2006 to June 2016. Clinical data, imaging, organisms, and pathological reports were collected.