Three-dimensional ultrashort echo time cones (3D UTE-Cones) magnetic resonance imaging of entheses and tendons

2018 ◽  
Vol 49 ◽  
pp. 4-9 ◽  
Author(s):  
Bimin Chen ◽  
Yinghua Zhao ◽  
Xin Cheng ◽  
Yajun Ma ◽  
Eric Y. Chang ◽  
...  
2021 ◽  
Vol 11 ◽  
Author(s):  
Min Jae Cha ◽  
Hye Shin Ahn ◽  
Hyewon Choi ◽  
Hyun Jeong Park ◽  
Thomas Benkert ◽  
...  

PurposeTo investigate the clinical feasibility of accelerated free-breathing stack-of-spirals (spiral) three-dimensional (3D) ultrashort echo time (UTE) lung magnetic resonance imaging (MRI) using iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space (SPIRiT) algorithm in patients with breast cancer.MethodsThe institutional review board approved this prospective study and patients’ informed consents were obtained. Between June and August 2018, 29 female patients with breast cancer underwent 3-T MRI including accelerated free-breathing spiral 3D UTE (0.98-mm isotropic spatial resolution; echo time, 0.05 msec) of the lungs and thin-section chest computed tomography (CT). Two radiologists evaluated the image quality and pulmonary nodules on MRI were assessed and compared, CT as a reference.ResultsThe pulmonary vessels and bronchi were visible consistently up to the sub-sub-segmental and sub-segmental branch levels, respectively, on accelerated spiral 3D UTE. The overall image quality was evaluated as good and excellent for 70.7% of accelerated spiral 3D UTE images (reviewer [R]1, 72.4% [21/29]; R2, 69.0% [20/29]) and acceptable for 20.7% (both R1 and R2, 20.7% [6/29]). Five patients on CT revealed 141 pulmonary metastatic nodules (5.3 ± 2.6 mm); the overall nodule detection rate of accelerated spiral 3D UTE was sensitivity of 90.8% (128/141), accuracy of 87.7%, and positive predictive value of 96.2%. In the Bland-Altman plot analysis comparing nodule size between CT and MRI, 132/141 nodules (93.6%) were inside the limits of agreement.ConclusionAccelerated free-breathing spiral 3D UTE using the SPIRiT algorithm could be a potential alternative to CT for oncology patients.


2020 ◽  
Vol 33 (10) ◽  
Author(s):  
Ya‐Jun Ma ◽  
Adam C. Searleman ◽  
Hyungseok Jang ◽  
Shu‐Juan Fan ◽  
Jonathan Wong ◽  
...  

2020 ◽  
Vol 10 (6) ◽  
pp. 1186-1203 ◽  
Author(s):  
Ya-Jun Ma ◽  
Hyungseok Jang ◽  
Eric Y. Chang ◽  
Annie Hiniker ◽  
Brian P. Head ◽  
...  

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