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Imaging of Peripheral Intraneural Tumors: A Comprehensive Review for Radiologists.
Cancers (Basel)
January 2025
Royal Orthopaedic Hospital, Birmingham B31 2AP, UK.
Background/objectives: Intraneural tumors (INTs) pose a diagnostic challenge, owing to their varied origins within nerve fascicles and their wide spectrum, which includes both benign and malignant forms. Accurate diagnosis and management of these tumors depends upon the skills of the radiologist in identifying key imaging features and correlating them with the patient's clinical symptoms and examination findings.
Methods: This comprehensive review systematically analyzes the various imaging features in the diagnosis of intraneural tumors, ranging from basic MR to advanced MR imaging techniques such as MR neurography (MRN), diffusion tensor imaging (DTI), and dynamic contrast-enhanced (DCE) MRI.
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It.
Diagnostics (Basel)
January 2025
Aerospace Engineering Department and Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.
View Article and Find Full Text PDFHaralick Texture Analysis for Differentiating Suspicious Prostate Lesions from Normal Tissue in Low-Field MRI.
Bioengineering (Basel)
January 2025
Promaxo Inc., Oakland, CA 94607, USA.
This study evaluates the feasibility of using Haralick texture analysis on low-field, T2-weighted MRI images for detecting prostate cancer, extending current research from high-field MRI to the more accessible and cost-effective low-field MRI. A total of twenty-one patients with biopsy-proven prostate cancer (Gleason score 4+3 or higher) were included. Before transperineal biopsy guided by low-field (58-74mT) MRI, a radiologist annotated suspicious regions of interest (ROIs) on high-field (3T) MRI.
View Article and Find Full Text PDFRobot-Assisted CT-guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.
J Vasc Interv Radiol
January 2025
Department of Vascular and Interventional Radiology, Singapore General Hospital, Outram Rd, Singapore 169608, Singapore.
Purpose: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for CT-guided biopsy, compared to the conventional freehand technique.
Materials And Methods: Eight nodules within an abdominal phantom, incorporating the simulated vertebrae and ribs, were designated as targets. A robotic system was used for lesion detection, trajectory generation, and needle-holder positioning.
In vivo Safety and Feasibility of a Computed Tomography-Guided Robotic Device for Percutaneous Needle Placement in Bone.
J Vasc Interv Radiol
January 2025
Gustave Roussy (GR), Département d'Anesthésie Chirurgie et Interventionnelle (DACI), Service d'Imagerie Thérapeutique, Villejuif France; Centre d'Investigation Clinique BIOTHERIS, INSERM CIC1428, Villejuif, France; Radiologie Interventionnelle, Gustave Roussy, Villejuif, France; Laboratoire de Recherche Translationnelle en Immunothérapie (LRTI), INSERM U1015, Villejuif, France; Faculté de Médecine, Paris-Saclay Université, F-94276 Le Kremlin Bicêtre, France.
Purpose: To evaluate the feasibility and accuracy of a robotic device used clinically in soft tissues (abdomen and lung), modified in design and workflow, to perform needle insertion in percutaneous bone procedures.
Methods: The primary objective was safety (severe complications) of robotic-assisted insertion in this new application. Secondary objectives were feasibility (placement technical success), performance (acceptable insertions rate), accuracy (lateral deviation), number of intermediate CT-scans and tolerance (minor/moderate complications).
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