Literature DB >> 31573393

MRI T2 Mapping of the Knee Providing Synthetic Morphologic Images: Comparison to Conventional Turbo Spin-Echo MRI.

Marion Roux1, Tom Hilbert1, Mahmoud Hussami1, Fabio Becce1, Tobias Kober1, Patrick Omoumi1.   

Abstract

Background Use of a T2 mapping sequence in addition to the conventional knee MRI protocol increases sensitivity to early cartilage lesions but is time consuming. Purpose To test the in vitro validity of quantitative data from an accelerated parallel T2 mapping sequence (combined generalized autocalibrating partially parallel acquisition and model-based accelerated relaxometry by iterative nonlinear inversion [GRAPPATINI]) of the knee and to compare in vivo synthetic images generated with this sequence with those generated with conventional morphologic sequences. Materials and Methods T2 estimations with GRAPPATINI were validated in vitro in comparison with T2 estimations with routine multisection multiecho and reference standard single-section single-echo spin-echo T2 mapping sequences by using a Bland-Altman plot. Synthetic morphologic images (intermediate-weighted sequence, 34-msec echo time; T2-weighted sequence, 80-msec echo time) were compared in vivo with corresponding conventional morphologic turbo spin-echo 3-T sequences by three readers in consecutive patients recruited retrospectively from February to May 2018. Synthetic and conventional morphologic images were compared by using rates of interreader agreement, κ statistics, and rates of findings. Results T2 values with GRAPPATINI were accurate compared with those obtained with the reference single-section single-echo sequence, with slight T2 overestimation (2.7 msec). Sixty-one patients (mean age, 43 years ± 16 [standard deviation]; 32 men) were included. The rate of agreement when one reader used synthetic morphologic images and the other used conventional sequences was not inferior to the rate of agreement when all readers used conventional sequences (upper bounds of 95% confidence intervals of differences between rates of agreement ≤ 4.8%). Interreader agreement was similar for the conventional set alone, the synthetic set alone, and when readers used different sets (two-by-two differences between κ values for all items ≤ 0.15). The rates of findings were not different between synthetic and conventional image sets (all P ≥ .07) except for two items (femoral trochlear cartilage [3.0% vs 0.3%, P = .006] and joint effusion [0.3% vs 2.7%, P = .005]). Conclusion This T2 mapping sequence yields, in one acquisition, accurate T2 values and synthetic morphologic images that are comparable with those obtained with conventional turbo spin-echo sequences. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Fritz in this issue.

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Year:  2019        PMID: 31573393     DOI: 10.1148/radiol.2019182843

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

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2.  The Preoperative Diagnostic Performance of Multi-Parametric Quantitative Assessment in Rectal Carcinoma: A Preliminary Study Using Synthetic Magnetic Resonance Imaging.

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Journal:  Front Oncol       Date:  2022-05-25       Impact factor: 5.738

3.  T2 mapping for the characterization of prostate lesions.

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Journal:  World J Urol       Date:  2022-03-31       Impact factor: 3.661

4.  Accelerated T2 Mapping of the Lumbar Intervertebral Disc: Highly Undersampled K-Space Data for Robust T2 Relaxation Time Measurement in Clinically Feasible Acquisition Times.

Authors:  Marcus Raudner; Markus Schreiner; Tom Hilbert; Tobias Kober; Michael Weber; Reinhard Windhager; Siegfried Trattnig; Vladimir Juras
Journal:  Invest Radiol       Date:  2020-11       Impact factor: 10.065

5.  Synthetic MRI in the detection and quantitative evaluation of sacroiliac joint lesions in axial spondyloarthritis.

Authors:  Ke Zhang; Chaoran Liu; Yunfei Zhu; Wenjuan Li; Ximeng Li; Jing Zheng; Guobin Hong
Journal:  Front Immunol       Date:  2022-09-26       Impact factor: 8.786

6.  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

7.  T2 mapping of the peritumoral infiltration zone of glioblastoma and anaplastic astrocytoma.

Authors:  Timo Alexander Auer; Maike Kern; Uli Fehrenbach; Yasemin Tanyldizi; Martin Misch; Edzard Wiener
Journal:  Neuroradiol J       Date:  2021-02-11
  7 in total

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