Literature DB >> 30085948

Fully Automated 10-Minute 3D CAIPIRINHA SPACE TSE MRI of the Knee in Adults: A Multicenter, Multireader, Multifield-Strength Validation Study.

Filippo Del Grande1, Marco Delcogliano2, Riccardo Guglielmi, Esther Raithel3, Steven E Stern4, Derek F Papp5,6, Christian Candrian2, Jan Fritz1.   

Abstract

OBJECTIVES: The aim of this study was to test the hypothesis that magnetic resonance imaging (MRI) of the knee with 10-minute 3-dimensional (3D) controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) sampling perfection with application optimized contrast using different flip angle evolutions (SPACE) turbo spin echo (TSE) protocols can replace 20-minute 2-dimensional (2D) TSE standard-of-reference protocols for the diagnosis of internal derangement.
MATERIALS AND METHODS: After internal review board approval and prospective informed consent, 100 symptomatic subjects underwent MRI of the knee at 3 T and 50 symptomatic subjects at 1.5 T, consisting of 10-minute 3D CAIPIRINHA SPACE TSE and 20-minute standard-of-reference 2D TSE protocols. Two fellowship-trained musculoskeletal radiologists assessed the studies in an anonymized and randomized fashion for structural abnormalities. Descriptive statistics, interreader reliability, intermethod concordance, diagnostic definitiveness, and interchangeability tests were applied. P values equal to or smaller than 0.01 were considered significant.
RESULTS: The interchangeability analysis showed that the 3D MRI can replace the 2D MRI protocols, whereas a superiority of 3D MRI was suggested statistically for the detection of medial and lateral meniscal tears, cartilage defects, and bone marrow edema by significantly higher common pair exact match proportions of readers (P < 0.01, respectively).The overall interreader reliabilities were 89% of exact matches for 2D TSE (κ, 0.842) and 96% of exact matches for 3D TSE (κ, 0.941) (P < 0.01). There was good intermethod concordance (κ, 0.736; range, 0.579-1.000). The interreader reliability (2D TSE: κ, 0.748 [0.603-1.000]; 3D TSE: κ, 0.901 [0.797-1.000]) and diagnostic definitiveness were significantly higher for the 3D than 2D MRI (P < 0.01).
CONCLUSIONS: 10-minute 3D CAIPIRINHA SPACE TSE MRI protocols can replace 20-minute 2D TSE standard-of-reference MRI protocols for the evaluation of internal derangement of the knee by producing similar results in individual patient diagnoses, whereas interpretations of 3D CAIPIRINHA SPACE TSE MRI examinations resulted in an overall higher interreader reliability, intermethod concordance, and reader definitiveness.

Entities:  

Mesh:

Year:  2018        PMID: 30085948     DOI: 10.1097/RLI.0000000000000493

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  6 in total

1.  Clinical utility of fat-suppressed 3-dimensional controlled aliasing in parallel imaging results in higher acceleration sampling perfection with application optimized contrast using different flip angle evolutions MRI of the knee in adults.

Authors:  Seungho Lee; Guen Young Lee; Sujin Kim; Yong-Beom Park; Han-Jun Lee
Journal:  Br J Radiol       Date:  2020-06-24       Impact factor: 3.039

2.  A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?

Authors:  Laura M Fayad; Vishwa S Parekh; Rodrigo de Castro Luna; Charles C Ko; Dharmesh Tank; Jan Fritz; Shivani Ahlawat; Michael A Jacobs
Journal:  Invest Radiol       Date:  2021-06-01       Impact factor: 10.065

3.  Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.

Authors:  Judith Herrmann; Gabriel Keller; Sebastian Gassenmaier; Dominik Nickel; Gregor Koerzdoerfer; Mahmoud Mostapha; Haidara Almansour; Saif Afat; Ahmed E Othman
Journal:  Eur Radiol       Date:  2022-04-07       Impact factor: 7.034

4.  Diagnostic advantage of thin slice 2D MRI and multiplanar reconstruction of the knee joint using deep learning based denoising approach.

Authors:  Takahide Kakigi; Ryo Sakamoto; Hiroshi Tagawa; Shinichi Kuriyama; Yoshihito Goto; Masahito Nambu; Hajime Sagawa; Hitomi Numamoto; Kanae Kawai Miyake; Tsuneo Saga; Shuichi Matsuda; Yuji Nakamoto
Journal:  Sci Rep       Date:  2022-06-20       Impact factor: 4.996

5.  Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement.

Authors:  Akshay S Chaudhari; Murray J Grissom; Zhongnan Fang; Bragi Sveinsson; Jin Hyung Lee; Garry E Gold; Brian A Hargreaves; Kathryn J Stevens
Journal:  AJR Am J Roentgenol       Date:  2020-08-05       Impact factor: 3.959

Review 6.  Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis.

Authors:  Akshay S Chaudhari; Feliks Kogan; Valentina Pedoia; Sharmila Majumdar; Garry E Gold; Brian A Hargreaves
Journal:  J Magn Reson Imaging       Date:  2019-11-21       Impact factor: 4.813

  6 in total

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