This article discusses the evaluation of specific lacrimal disorders and orbital trauma using CT, MRI, and other radiologic techniques.
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| http://dx.doi.org/10.1016/j.otc.2006.07.005 | DOI Listing |
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A novel MRI-based radiomics for preoperative prediction of lymphovascular invasion in rectal cancer.
Abdom Radiol (NY)
January 2025
Department of Radiology, Taizhou Municipal Hospital, Taizhou, Zhejiang, China.
Background: To develop and validate a clinical-radiomics model for preoperative prediction of lymphovascular invasion (LVI) in rectal cancer.
Methods: This retrospective study included data from 239 patients with pathologically confirmed rectal adenocarcinoma from two centers, all of whom underwent MRI examinations. Cases from the first center (n = 189) were randomly divided into a training set and an internal validation set at a 7:3 ratio, while cases from the second center (n = 50) constituted the external validation set.
High-Frequency Ultrasound for Detecting Periodontal Inflammation: A Preclinical Diagnostic Accuracy Study.
J Periodontal Res
January 2025
Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Aim: Ultrasonography (US) has shown accuracy in imaging healthy periodontium. This study aims to evaluate the feasibility and accuracy of US for estimating dimensions of inflamed periodontium induced by ligature and bacteria.
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Chiari Malformation Type I and Syringomyelia: Outcomes of Arachnoid-Preserving Surgical Technique.
Med Sci Monit
January 2025
Department of Neurosurgery, Istanbul Training and Research Hospital, Istanbul, Turkey.
BACKGROUND Chiari malformation type 1 occurs when the cerebellar tonsils are pushed into the spinal canal, which can result in syringomyelia. This retrospective study from a single center evaluated outcomes in 89 patients with Chiari malformation type-I (CM-I) and syringomyelia treated with an arachnoid-preserving technique between 2016 and 2023. MATERIAL AND METHODS A retrospective analysis was conducted at a tertiary referral center, involving 88 adult patients and 1 adolescent patient aged 14 to 61 years, with diagnosis by MRI and treated for CM-I with syringomyelia between 2016 and 2023, using the arachnoid-preserving technique.
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- 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.
Can parenchymal volume analysis replace nuclear renal scans for split renal function before and after partial nephrectomy with warm ischemia?
Urol Oncol
January 2025
Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China. Electronic address:
Article Synopsis
- The study evaluates parenchymal volume analysis (PVA) as a potential alternative to nuclear renal scan (NRS) for assessing split renal function (SRF) before and after partial nephrectomy (PN) with warm ischemia.
- Preoperatively, PVA showed a strong correlation with NRS findings, indicating its reliability for SRF assessment (49.4% vs. 50.0%, P = .501).
- Results suggest that while PVA is consistent with NRS preoperatively, the efficacy of PVA remains uncertain for post-operative SRF evaluation after PN, indicating a need for further investigation.
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