AJR. American journal of roentgenology
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AJR Am J Roentgenol · Mar 2019
Factors Predicting Positive Culture in CT-Guided Bone Biopsy Performed for Suspected Osteomyelitis.
The goal of this study was to identify clinical factors and radiographic characteristics associated with positive culture results from bone biopsy in cases of suspected osteomyelitis. ⋯ The rate of positive culture from image-guided core biopsy of suspected osteomyelitis is low. In this study, lower CT attenuation values were associated with a significantly higher rate of positive culture. An attenuation value of 150 HU may serve as a threshold above which biopsy would be expected to have lower utility for obtaining specific microbial culture data.
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AJR Am J Roentgenol · Feb 2019
Comparative StudyComparison of MRI Sequences in Whole-Body PET/MRI for Staging of Patients With High-Risk Prostate Cancer.
The purpose of this study is to investigate the diagnostic value of various MRI sequences used for whole-body (WB) 18F-fluorocholine (FCH) PET/MRI staging of patients with high-risk prostate cancer (PCa). ⋯ Metastases from prostate cancer are best detected at DWI or gadolinium-enhanced T1-weighted VIBE sequences. The most time-efficient sequence with the highest lesion detection rate and conspicuity is gadolinium-enhanced T1-weighted VIBE.
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AJR Am J Roentgenol · Feb 2019
ReviewNew Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
The purpose of this article is to compare traditional versus machine learning-based computer-aided detection (CAD) platforms in breast imaging with a focus on mammography, to underscore limitations of traditional CAD, and to highlight potential solutions in new CAD systems under development for the future. ⋯ CAD development for breast imaging is undergoing a paradigm shift based on vast improvement of computing power and rapid emergence of advanced deep learning algorithms, heralding new systems that may hold real potential to improve clinical care.
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AJR Am J Roentgenol · Feb 2019
ReviewArtificial Intelligence in Breast Imaging: Potentials and Limitations.
The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption. ⋯ The algorithms of AI for workflow improvement and outcome analyses are advancing. Using imaging data of high quality and quantity, AI can support breast imagers in diagnosis and patient management, but AI cannot yet be relied on or be responsible for physicians' decisions that may affect survival. Education in AI is urgently needed for physicians.