Free‐breathing accelerated whole‐body MRI using an automated workflow: Comparison with conventional breath‐hold sequences. (6th October 2022)

• Record Type: Journal Article
• Authors: Koch, Vitali; Merklein, Domenica; Zangos, Stephan; Eichler, Katrin; Gruenewald, Leon D.; Mahmoudi, Scherwin; Booz, Christian; Yel, Ibrahim; D'Angelo, Tommaso; Martin, Simon S.; Bernatz, Simon; Hammerstingl, Renate M.; Albrecht, Moritz H.; Scholtz, Jan‐Erik; Kaltenbach, Benjamin; Vogl, Thomas J.; Langenbach, Marcel; Gruber‐Rouh, Tatjana
• Is Part Of: NMR in biomedicine. Volume 36:Number 2(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-10-06
• Subjects: Day optimizing throughput -- diagnostic accuracy -- free‐breathing sequences -- magnetic resonance imaging -- whole‐body magnetic resonance imaging; Nuclear magnetic resonance -- Periodicals; Magnetic Resonance Spectroscopy -- Periodicals; 574
• DOI: 10.1002/nbm.4828
• Languages: English
• ISSNs: 0952-3480

Abstract

Abstract : Whole‐body magnetic resonance imaging (MRI) has become increasingly popular in oncology. However, the long acquisition time might hamper its widespread application. We sought to assess and compare free‐breathing sequences with conventional breath‐hold examinations in whole‐body MRI using an automated workflow process. This prospective study consisted of 20 volunteers and six patients with a variety of pathologies who had undergone whole‐body 1.5‐T MRI that included T1‐weighted radial and Dixon volumetric interpolated breath‐hold examination sequences. Free‐breathing sequences were operated by using an automated user interface. Image quality, diagnostic confidence, and image noise were evaluated by two experienced radiologists. Additionally, signal‐to‐noise ratio was measured. Diagnostic performance for the overall detection of pathologies was assessed using the area under the receiver operating characteristics curve (AUC). Study participants were asked to rate their examination experiences in a satisfaction survey. MR free‐breathing scans were rated as at least equivalent to conventional MR scans in more than 92% of cases, showing high overall diagnostic accuracy (95% [95% CI 92–100]) and performance (AUC 0.971, 95% CI 0.942–0.988; p < 0.0001) for the assessment of pathologies at simultaneously reduced examination times (25 ± 2 vs. 32 ± 3 min; p < 0.0001). Interrater agreement was excellent for both free‐breathing (ϰ = 0.96 [95% CI 0.88–1.00]) and conventional scans (ϰ = 0.93 [95% CI 0.84–1.00]). Qualitative and quantitative assessment for image quality, image noise, and diagnostic confidence did not differ between the two types of MR image acquisition (all p > 0.05). Scores for patient satisfaction were significantly better for free‐breathing compared with breath‐hold examinations ( p = 0.0145), including significant correlations for the grade of noise (r = 0.79, p < 0.0001), tightness (r = 0.71, p < 0.0001), and physical fatigue (r = 0.52, p = 0.0065). In summary, free‐breathing whole‐body MRI in tandem with an automated user interface yielded similar diagnostic performance at equivalent image quality and shorter acquisition times compared to conventional breath‐hold sequences. Abstract : Free‐breathing whole‐body MRI in tandem with an automated user interface yielded similar diagnostic accuracy at equivalent image quality and shorter acquisition times compared with breath‐hold MR sequences. Scores for patient satisfaction were significantly better for free‐breathing compared with breath‐hold examinations, including significant correlations for the grade of noise, tightness, and physical fatigue. Free‐breathing whole‐body MRI with automated processing of workflow may represent a viable alternative to MR acquisition using breath‐hold maneuvers in selected patient populations.