In this study, we compared the accuracy of radiography, computed tomography, and magnetic resonance imaging in assessing periacetabular osteolytic lesions. Using a previously published cadaver model, we created 87 lesions in pelves implanted with total hip replacement components. The sensitivity for detecting lesions was 51.7% for radiography, 74.7% for computed tomography, and 95.4% for magnetic resonance imaging. For all three techniques, sensitivity increased as lesion size increased. Magnetic resonance imaging emerged as the most effective tool for detecting small periacetabular osteolytic lesions (< or = 3 cm). For lesions larger than 3 cm, which are of more concern clinically, computed tomography and magnetic resonance imaging were effective in identifying lesions with detection rates greater than 80%. For radiography and computed tomography, lesion detection was dependent on lesion location, whereas magnetic resonance imaging had consistently good sensitivity in all lesion locations. Although the mean volumetric errors for computed tomography and magnetic resonance imaging (0.3 cm and 0.8 cm) were small compared with mean lesion volume (6.1 cm), computed tomography was more accurate than magnetic resonance imaging at measuring lesion volume, with a lower mean absolute error. This study verifies the problems associated with radiographic detection of osteolysis while showing the effectiveness of computed tomography and magnetic resonance imaging in determining the presence of lesions and assessing their three-dimensional volume.
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http://dx.doi.org/10.1097/01.blo.0000164028.14504.46 | DOI Listing |
JCO Clin Cancer Inform
January 2025
Machine Learning Department, H. Lee Moffit Cancer Center and Research Institute, Tampa, FL.
Purpose: Adaptive radiotherapy accounts for interfractional anatomic changes. We hypothesize that changes in the gross tumor volumes identified during daily scans could be analyzed using delta-radiomics to predict disease progression events. We evaluated whether an auxiliary data set could improve prediction performance.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
Hospital Universitario HM Montepríncipe, HM Hospitales. Facultad HM. Hospitales de Ciencias de la Salud, Universidad Camilo José Cela, Madrid, Spain.
PLoS One
January 2025
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Purpose: Treatment of peripheral artery disease (PAD) in the region below the knee (BTK) is dissatisfying as failure of treated target lesions (TLF) is frequent and diagnostic imaging is often challenging. In the BTK-region metallic drug-eluting stents (mDES) yielded best results concerning primary patency (PP), but also annihilate signal in magnetic resonance angiography (MR-A). A recently introduced non-metallic drug eluting bioresorbable Tyrocore® vascular scaffold (deBVS), that offers an option for re-treatment of lesions due to its full degradation within 3-4 years after placement, was investigated with respect to its compatibility with MR-A to unimpededly depict previously treated target lesions.
View Article and Find Full Text PDFJBJS Case Connect
January 2025
Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut.
Case: A 16-year-old woman presented with acute on chronic knee pain and instability following a twisting injury. The tibial insertion of the anterior cruciate ligament (ACL) was nonvisualized on magnetic resonance imaging. A cord-like ACL, originating from the lateral intercondylar notch and inserting smoothly into the anterior horn of the intact lateral meniscus, was found on arthroscopy.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Genes on the X chromosome are extensively expressed in the human brain. However, little is known for the X chromosome's impact on the brain anatomy, microstructure, and functional networks. We examined 1045 complex brain imaging traits from 38,529 participants in the UK Biobank.
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