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CPR related injuries of the chest wall: direct and indirect fractures.
Eur J Trauma Emerg Surg
January 2025
Department of Trauma and Orthopedic Surgery, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Background: Rib and sternum fractures are common injuries associated with cardiopulmonary resuscitation (CPR). The fracture mechanism is either direct by application of force on sternum and anterior ribs or indirect by bending through compression of the thorax. The aim of this study was to determine morphologies of rib fractures after CPR and to reevaluate prior findings on fracture localisation, type and degree of dislocation.
View Article and Find Full Text PDFComparison of mechanical properties and shaping performance of ProGlider and ProTaper ultimate slider.
BMC Oral Health
January 2025
Department of Conservative Dentistry, College of Dentistry, Kyung Hee University, 26-6, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02453, Republic of Korea.
Background: This study aims to compare design, phase transformation behavior, and torsional resistance of the ProGlider (PG) and ProTaper ultimate slider (PUS) and to compare the performance of two files in the glide-path preparation of a double-curved artificial canal.
Methods: Scanning electron microscopy, micro-computed tomography, and differential scanning calorimetry were used to characterize the samples. A torsional resistance test was performed to obtain ultimate strength and distortion angle.
Article Synopsis
- Deep learning methods show strong potential for predicting lung cancer risk from CT scans, but there's a need for more comprehensive comparisons and validations of these models in real-world settings.
- The study reviews 21 state-of-the-art deep learning models, analyzing their performance using CT scans from a subset of the National Lung Screening Trial, with a focus on malignant versus benign classification.
- Results reveal that 3D deep learning models generally outperformed 2D models, with the best 3D model achieving an AUROC of 0.86 compared to 0.79 for the best 2D model, emphasizing the need to choose appropriate pretrained datasets and model types for effective lung cancer risk prediction.
Impact of comorbidities on the mortality benefits of lung cancer screening: a post-hoc analysis of PLCO and NLST trials.
J Thorac Oncol
January 2025
Department of General Internal Medicine and Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hypothesis: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed-tomography (LDCT).
Methods: We developed a comorbidity index (PLCO-ci) using LCS-eligible participants' data from the Prostate Lung Colorectal and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts 5-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated by the area under the ROC curve (ROC).
Clinical Impact of Osteolytic Bone Lesions in POEMS Syndrome: A Single-Center Experience of 114 Patients.
Hematol Oncol
January 2025
Department of Hematology, Chiba University Hospital, Chiba, Japan.
POEMS syndrome is a multisystemic disease associated with monoclonal plasma cell disorders. Although the presence of bone lesions is included in the diagnostic criteria, their precise manifestations remain unknown. Here, we retrospectively analyzed the bone lesions in patients with POEMS syndrome and evaluated their clinical features.
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