DLR applied to 1.5T MRI for lumbar spine imaging time saving and may provide better image quality

Written By : Dr Supreeth D R |Medically Reviewed By : Dr. Kamal Kant Kohli Published On 2024-02-16T06:00:16+05:30 | Updated On 16 Feb 2024 6:00 AM IST

Although many authors have investigated the role of AI (Artificial intelligence) application on lumbar spine in different fields such as pathology detection and reporting; the role of AI algorithm on whole routinely MRI lumbar spine protocol acquisition has not been investigated yet.

Marta Zerunian et al conducted a study to prospectively compare quantitative and subjective image quality, scanning time, and diagnostic confidence between a new deep learning-based reconstruction (DLR) algorithm and standard MRI protocol of lumbar spine. The study has been published in “Skeletal radiology” journal.

Eighty healthy volunteers underwent 1.5T MRI examination of lumbar spine. Protocol acquisition comprised sagittal T1- and T2-weighted fast spin echo and short-tau inversion recovery images and axial multislices T2-weighted fast spin echo images. All sequences were acquired with both DLR algorithm and standard protocols. Two radiologists, blinded to the reconstruction technique, performed quantitative and qualitative image quality analysis in consensus reading; diagnostic confidence was also assessed. Quantitative image quality analysis was assessed by calculating signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Qualitative image quality analysis and diagnostic confidence were assessed with a five-point Likert scale. Scanning times were also compared.

Key findings of the study were:

• DLR SNR was higher in all sequences (all p< 0.001).

• CNR of the DLR was superior to conventional dataset only for axial and sagittal T2-weighted fast spin echo images (p < 0.001).

• Qualitative analysis showed DLR had higher overall quality in all sequences (all p< 0.001), with an inter-rater agreement of 0.83 (0.78–0.86).

• DLR total protocol scanning time was lower compared to standard protocol (6:26 vs 12:59 min, p < 0.001).

• Diagnostic confidence for DLR algorithm was not inferior to standard protocol.

The authors concluded that – “DLR applied to 1.5T MRI is a feasible method for lumbar spine imaging providing morphologic sequences with higher image quality and similar diagnostic confidence compared with standard protocol, enabling a remarkable time saving (up to 50%).”

MBBS, Dip. Ortho, DNB ortho, MNAMS

Dr Supreeth D R (MBBS, Dip. Ortho, DNB ortho, MNAMS) is a practicing orthopedician with interest in medical research and publishing articles. He completed MBBS from mysore medical college, dip ortho from Trivandrum medical college and sec. DNB from Manipal Hospital, Bengaluru. He has expirence of 7years in the field of orthopedics. He has presented scientific papers & posters in various state, national and international conferences. His interest in writing articles lead the way to join medical dialogues. He can be contacted at editorial@medicaldialogues.in.

Dr. Kamal Kant Kohli

Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751