Top

Published in:

Open Access 01-03-2023 | Magnetic Resonance Imaging | Musculoskeletal Radiology

Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48%

Authors: Gabriel Keller, Arne Estler, Judith Herrmann, Saif Afat, Ahmed E. Othman, Dominik Nickel, Gregor Koerzdoerfer, Fabian Springer

Published in: La radiologia medica | Issue 3/2023

Abstract

Purpose

Magnetic resonance imaging (MRI) scan time remains a limited and valuable resource. This study evaluates the diagnostic performance of a deep learning (DL)-based accelerated TSE study protocol compared to a standard TSE study protocol in ankle MRI.

Material and methods

Between October 2020 and July 2021 forty-seven patients were enrolled in this study for an intraindividual comparison of a standard TSE study protocol and a DL TSE study protocol either on a 1.5 T or a 3 T scanner. Two radiologists evaluated the examinations regarding structural pathologies and image quality categories (5-point-Likert-scale; 1 = “non diagnostic”, 5 = “excellent”).

Results

Both readers showed almost perfect/perfect agreement of DL TSE with standard TSE in all analyzed structural pathologies (0.81–1.00) with a median “good” or “excellent” rating (4–5/5) in all image quality categories in both 1.5 T and 3 T MRI. The reduction of total acquisition time of DL TSE compared to standard TSE was 49% in 1.5 T and 48% in 3 T MRI to a total acquisition time of 5 min 41 s and 5 min 46 s.

Conclusion

In ankle MRI the new DL-based accelerated TSE study protocol delivers high agreement with standard TSE and high image quality, while reducing the acquisition time by 48%.

Fong DT, Hong Y, Chan LK, Yung PS, Chan KM (2007) A systematic review on ankle injury and ankle sprain in sports. Sports Med 37(1):73–94. https://doi.org/10.2165/00007256-200737010-00006CrossRefPubMed

Steinbruck K (1999) Epidemiology of sports injuries-A 25-year analysis of sports orthopaedic–traumatologic ambulatory care. Sportverletz Sportschaden 13(2):38–52. https://doi.org/10.1055/s-2007-993313CrossRefPubMed

Shapiro L, Harish M, Hargreaves B, Staroswiecki E, Gold G (2012) Advances in musculoskeletal MRI: technical considerations. J Magn Reson Imaging 36(4):775–787. https://doi.org/10.1002/jmri.23629CrossRefPubMedPubMedCentral

Fritz B, Bensler S, Thawait GK, Raithel E, Stern SE, Fritz J (2019) CAIPIRINHA-accelerated 10-min 3D TSE MRI of the ankle for the diagnosis of painful ankle conditions: performance evaluation in 70 patients. Eur Radiol 29(2):609–619. https://doi.org/10.1007/s00330-018-5591-zCrossRefPubMed

Kalia V, Fritz B, Johnson R, Gilson WD, Raithel E, Fritz J (2017) CAIPIRINHA accelerated SPACE enables 10-min isotropic 3D TSE MRI of the ankle for optimized visualization of curved and oblique ligaments and tendons. Eur Radiol 27(9):3652–3661. https://doi.org/10.1007/s00330-017-4734-yCrossRefPubMed

Notohamiprodjo M, Kuschel B, Horng A, Paul D, Baer P, Li G, Garcia del Olmo JM, Reiser MF, Glaser C (2012) 3D-MRI of the ankle with optimized 3D-SPACE. Investig Radiol 47(4):231–239. https://doi.org/10.1097/RLI.0b013e31823d7946CrossRef

Teramoto A, Akatsuka Y, Takashima H, Shoji H, Sakakibara Y, Watanabe K, Yamashita T (2020) 3D MRI evaluation of morphological characteristics of lateral ankle ligaments in injured patients and uninjured controls. J Orthop Sci 25(1):183–187. https://doi.org/10.1016/j.jos.2019.02.018CrossRefPubMed

Park HJ, Lee SY, Park NH, Rho MH, Chung EC, Park JH, Park SJ (2016) Three-dimensional isotropic T2-weighted fast spin-echo (VISTA) ankle MRI versus two-dimensional fast spin-echo T2-weighted sequences for the evaluation of anterior talofibular ligament injury. Clin Radiol 71(4):349–355. https://doi.org/10.1016/j.crad.2015.12.007CrossRefPubMed

Yi J, Cha JG, Lee YK, Lee BR, Jeon CH (2016) MRI of the anterior talofibular ligament, talar cartilage and os subfibulare: comparison of isotropic resolution 3D and conventional 2D T2-weighted fast spin-echo sequences at 3.0 T. Skelet Radiol 45(7):899–908. https://doi.org/10.1007/s00256-016-2367-xCrossRef

10.

Bae WC, Ruangchaijatuporn T, Chung CB (2017) New techniques in MR imaging of the ankle and foot. Magn Reson Imaging Clin N Am 25(1):211–225. https://doi.org/10.1016/j.mric.2016.08.009CrossRefPubMedPubMedCentral

11.

Bauer JS, Banerjee S, Henning TD, Krug R, Majumdar S, Link TM (2007) Fast high-spatial-resolution MRI of the ankle with parallel imaging using GRAPPA at 3 T. AJR Am J Roentgenol 189(1):240–245. https://doi.org/10.2214/AJR.07.2066CrossRefPubMed

12.

Recht MP, Zbontar J, Sodickson DK, Knoll F, Yakubova N, Sriram A, Murrell T, Defazio A, Rabbat M, Rybak L, Kline M, Ciavarra G, Alaia EF, Samim M, Walter WR, Lin DJ, Lui YW, Muckley M, Huang Z, Johnson P, Stern R, Zitnick CL (2020) Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study. AJR Am J Roentgenol 215(6):1421–1429. https://doi.org/10.2214/AJR.20.23313CrossRefPubMedPubMedCentral

13.

Gersing AS, Bodden J, Neumann J, Diefenbach MN, Kronthaler S, Pfeiffer D, Knebel C, Baum T, Schwaiger BJ, Hock A, Rummeny EJ, Woertler K, Karampinos DC (2019) Accelerating anatomical 2D turbo spin echo imaging of the ankle using compressed sensing. Eur J Radiol 118:277–284. https://doi.org/10.1016/j.ejrad.2019.06.006CrossRefPubMed

14.

Baur OL, Den Harder JM, Hemke R, Farid FM, Smithuis F, De Weerdt E, Nederveen AJ, Maas M (2020) The road to optimal acceleration of Dixon imaging and quantitative T2-mapping in the ankle using compressed sensing and parallel imaging. Eur J Radiol 132:109295. https://doi.org/10.1016/j.ejrad.2020.109295CrossRefPubMed

15.

Yi J, Lee YH, Hahn S, Albakheet SS, Song HT, Suh JS (2019) Fast isotropic volumetric magnetic resonance imaging of the ankle: acceleration of the three-dimensional fast spin echo sequence using compressed sensing combined with parallel imaging. Eur J Radiol 112:52–58. https://doi.org/10.1016/j.ejrad.2019.01.009CrossRefPubMed

16.

Herrmann J, Keller G, Gassenmaier S, Nickel D, Koerzdoerfer G, Mostapha M, Almansour H, Afat S, Othman AE (2022) Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol. Eur Radiol. https://doi.org/10.1007/s00330-022-08753-zCrossRefPubMedPubMedCentral

17.

Herrmann J, Koerzdoerfer G, Nickel D, Mostapha M, Nadar M, Gassenmaier S, Kuestner T, Othman AE (2021) Feasibility and implementation of a deep learning MR reconstruction for TSE sequences in musculoskeletal imaging. Diagnostics (Basel). https://doi.org/10.3390/diagnostics11081484CrossRefPubMedPubMedCentral

18.

Schlemper J, Caballero J, Hajnal JV, Price AN, Rueckert D (2018) A deep cascade of convolutional neural networks for dynamic MR image reconstruction. IEEE Trans Med Imaging 37(2):491–503. https://doi.org/10.1109/TMI.2017.2760978CrossRefPubMed

19.

Hammernik K, Klatzer T, Kobler E, Recht MP, Sodickson DK, Pock T, Knoll F (2018) Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med 79(6):3055–3071. https://doi.org/10.1002/mrm.26977CrossRefPubMed

20.

Knoll F, Hammernik K, Kobler E, Pock T, Recht MP, Sodickson DK (2019) Assessment of the generalization of learned image reconstruction and the potential for transfer learning. Magn Reson Med 81(1):116–128. https://doi.org/10.1002/mrm.27355CrossRefPubMed

21.

Kramer J, Scheurecker A, Mohr E (1995) Osteochondral lesions. Radiologe 35(2):109–116PubMed

22.

Kundel HL, Polansky M (2003) Measurement of observer agreement. Radiology 228(2):303–308. https://doi.org/10.1148/radiol.2282011860CrossRefPubMed

23.

Del Grande F, Rashidi A, Luna R, Delcogliano M, Stern SE, Dalili D, Fritz J (2021) Five-minute five-sequence knee MRI using combined simultaneous multislice and parallel imaging acceleration: comparison with 10-minute parallel imaging knee MRI. Radiology 299(3):635–646. https://doi.org/10.1148/radiol.2021203655CrossRefPubMed

24.

Fritz J, Fritz B, Zhang J, Thawait GK, Joshi DH, Pan L, Wang D (2017) Simultaneous multislice accelerated turbo spin echo magnetic resonance imaging: comparison and combination with in-plane parallel imaging acceleration for high-resolution magnetic resonance imaging of the knee. Investig Radiol 52(9):529–537. https://doi.org/10.1097/RLI.0000000000000376CrossRef

25.

Kim M, Lee SM, Park C, Lee D, Kim KS, Jeong HS, Kim S, Choi MH, Nickel D (2022) Deep learning-enhanced parallel imaging and simultaneous multislice acceleration reconstruction in knee MRI. Investig Radiol. https://doi.org/10.1097/RLI.0000000000000900CrossRef

Title: Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48%
Authors: Gabriel Keller
Arne Estler
Judith Herrmann
Saif Afat
Ahmed E. Othman
Dominik Nickel
Gregor Koerzdoerfer
Fabian Springer
Publication date: 01-03-2023
Publisher: Springer Milan
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Published in: La radiologia medica / Issue 3/2023
Print ISSN: 0033-8362
Electronic ISSN: 1826-6983
DOI: https://doi.org/10.1007/s11547-023-01604-x

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48%

Abstract

Purpose

Material and methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Material and methods

Results

Conclusion

Please log in to get access to this content

Other articles of this Issue 3/2023

Correction to: Radiomics for prediction of response to EGFR-TKI based on metastasis/brain parenchyma (M/BP)-interface

MRI-based artificial intelligence to predict infection following total hip arthroplasty failure

Pressure cooker technique in cerebral AVMs and DAVFs: different treatment strategies

Pre-operative MRI features predict early post-operative recurrence of hepatocellular carcinoma with different degrees of pathological differentiation

The role of brain radiotherapy for EGFR- and ALK-positive non-small-cell lung cancer with brain metastases: a review

Aortic valve and vascular calcium score in pre-TAVI CT: correlation with early post-procedural complications