Front Vet Sci
School of Veterinary Science, University of Queensland, Gatton Campus, Gatton, QLD, Australia.
Published: October 2024
Introduction: The veterinary yearling pre-sale repository radiographs have the potential to impact both vendor and prospective purchaser. The primary aim of this study was to determine inter-observer agreement for orthopaedic lesions identified in thoroughbred yearling repository radiographs. A secondary goal was to determine agreement when using a pre-defined risk rating classification.
Methods: Three experienced specialist equine surgeons (2 ACVS & 1 FANZCVS) interpreted thirty repository radiographs once each for radiographic abnormalities. Each radiographic abnormality was given an associated risk assessment for future racing performance.
Results: The use of a pre-defined risk rating grading scale resulted in good to excellent agreement as observers reached a consensus on risk ratings for lesions 97.1% of the time. The highest agreement was for the proximal interphalangeal joint and distal interphalangeal joint, with 99.9 and 98.2% agreement, respectively. The tarsal region was the joint with the highest disagreement with respect to pathology, with observers disagreeing 5.2% of the time.
Discussion: This study found that experienced veterinary surgeons reliably agreed on the absence of lesions but showed disagreement on the specific risk rating of common lesions.
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http://dx.doi.org/10.3389/fvets.2024.1430993 | DOI Listing |
Aust Endod J
January 2025
Adelaide Dental School, University of Adelaide, Adelaide, Australia.
Sodium hypochlorite (NaOCl), ethylenediaminetetraacetic acid (EDTA), and calcium hydroxide (Ca(OH)) are used in root canal treatment. However, further research is needed to assess their effectiveness at time points not considered in previous guidelines. This review complements the systematic review by Rossi-Fedele and Rödig (2023) by considering time points excluded by the latter.
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January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Objective: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists.
Materials And Methods: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset 2). After pre-training a vision transformer with Dataset 1, we integrated it with an LLM influenced by the LLaVA network.
Hum Brain Mapp
December 2024
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
It is now understood that brain metastases do not occur randomly but have distinct spatial patterns depending on the origin of the cancer. According to the "seed and soil" hypothesis, the final colonization of metastatic cells is the result of their adaptation to the altered environment. To investigate the most favorable microenvironment for brain metastasis, we analyzed neuroimaging data from 177 patients with breast cancer brain metastasis and 548 patients with lung cancer brain metastasis to create a replicable probabilistic map of metastatic locations.
View Article and Find Full Text PDFBMC Med Imaging
December 2024
Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, 78363, Texas, USA.
Background: Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identification of breast masses. However, in the early stages, it might be challenging to ascertain whether a breast mass is benign or malignant. Consequently, many deep learning (DL)-based computer-aided diagnosis (CAD) approaches for BC classification have been developed.
View Article and Find Full Text PDFJ Imaging Inform Med
December 2024
Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, S. A. S. Nagar, Punjab, 160062, India.
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