Background: Compared to 1.5 T, 3 T magnetic resonance imaging (MRI) increases signal-to-noise ratio leading to improved image quality. However, its clinical relevance in clinically isolated syndrome suggestive of multiple sclerosis remains uncertain.
Objectives: The purpose of this study was to investigate how 3 T MRI affects the agreement between raters on lesion detection and diagnosis.
Methods: We selected 30 patients and 10 healthy controls from our ongoing prospective multicentre cohort. All subjects received baseline 1.5 and 3 T brain and spinal cord MRI. Patients also received follow-up brain MRI at 3-6 months. Four experienced neuroradiologists and four less-experienced raters scored the number of lesions per anatomical region and determined dissemination in space and time (McDonald 2010).
Results: In controls, the mean number of lesions per rater was 0.16 at 1.5 T and 0.38 at 3 T ( p = 0.005). For patients, this was 4.18 and 4.40, respectively ( p = 0.657). Inter-rater agreement on involvement per anatomical region and dissemination in space and time was moderate to good for both field strengths. 3 T slightly improved agreement between experienced raters, but slightly decreased agreement between less-experienced raters.
Conclusion: Overall, the interobserver agreement was moderate to good. 3 T appears to improve the reading for experienced readers, underlining the benefit of additional training.
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http://dx.doi.org/10.1177/1352458517751647 | DOI Listing |
Radiol Med
January 2025
Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Purpose: Pre-procedural imaging is critical for transcatheter mitral valve repair planning in patients with mitral valve disease. As differences among various measurement techniques for valve evaluation are still poorly understood, we sought to assess the intra- and interobserver agreement of complex measurements derived from a prototype mitral evaluation tool (Siemens) and a commercially available tool (CVI42) using both saddle- and D-shaped mitral annulus techniques.
Materials And Methods: Multiphasic cardiac computed tomography angiography data were loaded into each software.
Jpn J Radiol
January 2025
Department of Radiology, St. Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan.
Purpose: To compare the clinical and radiological features of gastric and small intestinal anisakiasis with those of gastric ulcers and Crohn's disease.
Materials And Methods: In this retrospective cohort study, 205 cases of anisakiasis (148 gastric; 53 small intestinal) were identified between July 2003 and February 2022. The control groups included 130 and 31 patients with gastric ulcers and Crohn's disease, respectively.
Acad Radiol
January 2025
Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China (Y.Z., Y.D., Q.Z., C.Z.). Electronic address:
Rationale And Objectives: This study aimed to develop a predictive model for peritoneal metastasis (PM) in ovarian cancer using a combination radiomics and clinical biomarkers to improve diagnostic accuracy.
Patients And Methods: This retrospective cohort study of 619 ovarian cancer patients involved demographic data, radiomics, O-RADS standardized description, clinical biomarkers, and histological findings. Radiomics features were extracted using 3D Slicer and Pyradiomics, with selective feature extraction using Least Absolute Shrinkage and Selection Operator regression.
Oral Radiol
January 2025
Department of Oral and Maxillofacial Radiology, The Nippon Dental University School of Life Dentistry, Tokyo, Japan.
Objective: The objective of this study was to evaluate the effectiveness of oblique radiographic projection using the intraoral paralleling technique in detecting various peri-implant bone defects.
Methods: Artificial mandibular models with appropriate radiopacity were created. An alveolar bone model without bone defects and models with 12 types of peri-implant bone defects (buccal, circumferential, and mixed types with different widths and depths) were created.
BMC Med Imaging
January 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.
Background: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality.
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