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Setting the echo time to zero allows for the acquisition of bone images that were otherwise difficult to obtain with conventional MRI and clear visualization of CT-like MR images. This technique is mainly useful for detecting compression fractures; however, studies examining bone tumours have been lacking. Furthermore, no reports to date have investigated the usefulness of MRI for evaluating images before and after radiotherapy (RT) for bone tumours. Therefore, plain CT and MRI (T1/T2-weighted image and CT-like MRI) were performed under the same conditions before and after radiation therapy (RT) and examined the obtained images. An 86-year-old man received RT (30 Gy/3 fraction) for painful lumbar metastasis from prostate cancer. At 2 months after RT, no changes in T2-weighted images and plain CT scans were noted, but CT-like MRI showed an increase in the signal inside the bone metastasis. Examining how the images change over time is imperative given the difficulty of predicting the duration of the pain relief effects of RT for bone metastases. Therefore, the current case report explored whether combining various modalities, such as CT and MRI, could predict prognosis. We highlight the importance of investigating whether signal changes are correlated with pain symptoms and whether MRI can be a predictor.
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http://dx.doi.org/10.1093/bjrcr/uaaf018 | DOI Listing |
Magn Reson Imaging
November 2025
Department of Radiology, Eastern Chiba Medical Center, 3-6-2 Okayamadai, Togane, Chiba 2838686, Japan.
Purpose: Lower extremity artery disease (LEAD), a major manifestation of peripheral arterial disease (PAD), is significantly influenced by vascular calcification, which impacts treatment outcomes. This study evaluates the feasibility of CT-like imaging using 3D multi-echo T2*-weighted image (T2*WI) for assessing vascular calcifications and vessel wall area in patients with LEAD.
Materials And Methods: A 3.
Emerg Radiol
August 2025
Imaging Department, Imperial College NHS Healthcare Trust, St Mary's Hospital, The Bays S Wharf Rd, London, W2 1NY, UK.
Paediatric fractures are common in emergency settings, with accurate diagnosis crucial in preventing complications like malunion and early osteoarthritis. Computed Tomography (CT) is often the standard for fracture assessment but involves ionizing radiation, posing added risks for children. Zero Echo Time (ZTE) MRI produces CT-like bone imaging without radiation, offering a safer alternative for paediatric patients.
View Article and Find Full Text PDFComputation (Basel)
August 2024
Dept. of Radiology, University of California-San Diego, San Diego, CA 92103.
Isthmic spondylolysis is characterized by a stress injury to the pars interarticularis bones of the lumbar spines, often missed by conventional magnetic resonance imaging (MRI) necessitating a computed tomography (CT) for accurate diagnosis. We compare MRI techniques suitable for producing CT-like images. Lumbar spines of asymptomatic and low back pain (LBP) subjects were imaged at 3-Tesla with multi-echo ultrashort echo time (UTE) and field echo (FE) sequences followed by simple post-processing of averaging and inverting to depict spinal bone with CT-like appearance.
View Article and Find Full Text PDFOral Maxillofac Surg
July 2025
Department of Cranio-Maxillofacial and Oral Surgery, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
Purpose: To assess the effectiveness and feasibility of MRI-based delineation of fracture-prone regions in the oral and maxillofacial region using Black Bone and CT-like MRI protocols optimized for dentomaxillofacial imaging with a dedicated 15-channel mandibular coil.
Methods: In this prospective study, healthy volunteers underwent 3T MRI using five protocols: DESS, SPACE STIR, SPACE SPAIR, T1-VIBE Dixon, and UTE. Eight trauma-prone regions, including the nasal septum, orbit, naso-orbito-ethmoidal (NOE) complex, zygomaticomaxillary complex, Le Fort regions, mandible, condyle, and dentoalveolar complex, were assessed.
J Neurosurg Sci
August 2025
Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
This narrative review presents deep learning-based strategies for generating synthetic 3D CT-like images from biplanar or multiplanar 2D X-ray data. Current limitations of conventional CT imaging are discussed, hence emphasizing the potential of synthetic CT reconstruction as an alternative technique in certain scenarios. Previous non deep learning approaches for 3D reconstruction from 2D X-rays are presented, indicating their weaknesses and thus pointing out the potential benefits of deep learning techniques.
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