Synthetic Contrasts in Musculoskeletal MRI

Hilbert, Tom; Omoumi, Patrick; Raudner, Marcus; Kober, Tobias

doi:10.1097/rli.0000000000000917

Cited by 12 publications

(8 citation statements)

References 80 publications

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“…Another prospective study was published on the differentiation of chordomas and chondrosarcomas of the skull base in 105 patients by Welzel et al 60 Sensitivity and specificity were at 94.3% and 98.6%, respectively 60 . For MSK, the application of “synthetic images,” that is, additional contrasts that are derived from 1 or more sequences without requiring additional acquisition time, is currently in scientific discussion 94 …”

Section: Results and Assessmentmentioning

confidence: 99%

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Clinical Efficacy of Gadobutrol: Review of Over 25 Years of Use Exceeding 100 Million Administrations

Endrikat,

Gutberlet,

Barkhausen

et al. 2023

Invest Radiol

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Background Gadobutrol has been administered more than 100 million times worldwide, since February 1998, that is, over the last 25 years. Numerous clinical studies in a broad range of indications document the long-term experience with gadobutrol. Objective The aim of this study was to provide a literature-based overview on gadobutrol's efficacy in 9 approved indications and use in children. Materials and Methods Efficacy results in patients of all age groups including sensitivity, specificity, accuracy, and positive/negative predictive values were identified by a systematic literature search on Embase until December 31, 2022. Nine approved indications were considered: central nervous system (CNS), magnetic resonance angiography (MRA), breast, heart, prostate, kidney, liver, musculoskeletal, whole body, and various indications in children. Results Sixty-five publications (10 phase III, 2 phase IV, 53 investigator-initiated studies) reported diagnostic efficacy results obtained from 7806 patients including 271 children, at 369 centers worldwide. Indication-specific sensitivity ranges were 59%–98% (CNS), 53%–100% (MRA), 80%–100% (breast), 64%–90% (heart), 64%–96% (prostate), 71–85 (kidney), 79%–100% (liver), 53%–98% (musculoskeletal), and 78%–100% (children). Indication-specific specificity ranges were 75%–100% (CNS), 64%–99% (MRA), 58%–98% (breast), and 47%–100% (heart). Conclusions The evaluated body of evidence, consisting of 65 studies with 7806 patients, including 271 children and 7535 adults, showed that gadobutrol is an efficacious magnetic resonance imaging contrast agent for all age groups in various approved indications throughout the whole body.

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Section: Results and Assessmentmentioning

confidence: 99%

“…60 For MSK, the application of "synthetic images," that is, additional contrasts that are derived from 1 or more sequences without requiring additional acquisition time, is currently in scientific discussion. 94…”

Section: Musculoskeletalmentioning

confidence: 99%

Clinical Efficacy of Gadobutrol: Review of Over 25 Years of Use Exceeding 100 Million Administrations

Endrikat,

Gutberlet,

Barkhausen

et al. 2023

Invest Radiol

View full text Add to dashboard Cite

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“…MRI opened up the possibility for noninvasive diagnosis of a broad range of soft tissue abnormalities, including menisci, ligaments, muscles, tendons, fibrocartilage, articular cartilage, and bone marrow. Without MRI, the development of modern musculoskeletal imaging would not have been possible 1–12 …”

mentioning

confidence: 99%

“…Over the past decades, pulse sequence acceleration has marked several milestones, including parallel imaging, [13][14][15][16] simultaneous multislice acquisition, [17][18][19][20] compressed sensing, 8,[21][22][23][24][25][26][27] and bidirectional 3-dimensional high-resolution isotropic acquisition schemes. 22,[28][29][30][31][32][33][34] Each technique has been gainfully applied to musculoskeletal MRI and advanced patient care [8][9][10][11][12][13][14][15][16][17][18][19] through optimizing signal-to-noise ratio, imaging artifacts, spatial resolution, and reconstruction time. However, neither technique fundamentally influenced the signal-tonoise interdependence of temporal resolution (pulse sequence acquisition speed), spatial resolution (image detail), and contrast resolution (musculoskeletal tissue contrast).…”

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confidence: 99%

Artificial Intelligence–Driven Ultra-Fast Superresolution MRI

2022

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Magnetic resonance imaging (MRI) is the keystone of modern musculoskeletal imaging; however, long pulse sequence acquisition times may restrict patient tolerability and access. Advances in MRI scanners, coil technology, and innovative pulse sequence acceleration methods enable 4-fold turbo spin echo pulse sequence acceleration in clinical practice; however, at this speed, conventional image reconstruction approaches the signal-to-noise limits of temporal, spatial, and contrast resolution. Novel deep learning image reconstruction methods can minimize signal-to-noise interdependencies to better advantage than conventional image reconstruction, leading to unparalleled gains in image speed and quality when combined with parallel imaging and simultaneous multislice acquisition. The enormous potential of deep learning-based image reconstruction promises to facilitate the 10-fold acceleration of the turbo spin echo pulse sequence, equating to a total acquisition time of 2-3 minutes for entire MRI examinations of joints without sacrificing spatial resolution or image quality. Current investigations aim for a better understanding of stability and failure modes of image reconstruction networks, validation of network reconstruction performance with external data sets, determination of diagnostic performances with independent reference standards, establishing generalizability to other centers, scanners, field strengths, coils, and anatomy, and building publicly available benchmark data sets to compare methods and foster innovation and collaboration between the clinical and image processing community. In this article, we review basic concepts of deep learning-based acquisition and image reconstruction techniques for accelerating and improving the quality of musculoskeletal MRI, commercially available and developing deep learning-based MRI solutions, superresolution, denoising, generative adversarial networks, and combined strategies for deep learning-driven ultra-fast superresolution musculoskeletal MRI. This article aims to equip radiologists and imaging scientists with the necessary practical knowledge and enthusiasm to meet this exciting new era of musculoskeletal MRI.

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“…12 Drs Hamza Ibad and Shadpour Demehri from the Johns Hopkins University in Baltimore review current and future musculoskeletal application of dual-energy CT, cone beam CT, and kinematic CT. 13 Dr Tom Hilbert and Tobias Kober detail the technical possibilities and clinical applications of synthetic contrast generation in musculoskeletal MRI. 14…”

mentioning

confidence: 99%

Scientific Advances and Technical Innovations in Musculoskeletal Radiology

Fritz

Runge

2022

Invest Radiol

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Decades of technical innovations have propelled musculoskeletal radiology through an astonishing evolution. New artificial intelligence and deep learning methods capitalize on many past innovations in magnetic resonance imaging (MRI) to reach unprecedented speed, image quality, and new contrasts. Similarly exciting developments in computed tomography (CT) include clinically applicable molecular specificity and substantially improved spatial resolution of musculoskeletal structures and diseases. This special issue of Investigative Radiology comprises a collection of expert summaries and reviews on the most impactful innovations and cutting-edge topics in musculoskeletal radiology, including radiomics and deep learning methods for musculoskeletal disease detection, high-resolution MR neurography, deep learning–driven ultra-fast musculoskeletal MRI, MRI-based synthetic CT, quantitative MRI, modern low-field MRI, 7.0 T MRI, dual-energy CT, cone beam CT, kinematic CT, and synthetic contrast generation in musculoskeletal MRI.

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Synthetic Contrasts in Musculoskeletal MRI

Cited by 12 publications

References 80 publications

Clinical Efficacy of Gadobutrol: Review of Over 25 Years of Use Exceeding 100 Million Administrations

Clinical Efficacy of Gadobutrol: Review of Over 25 Years of Use Exceeding 100 Million Administrations

Artificial Intelligence–Driven Ultra-Fast Superresolution MRI

Scientific Advances and Technical Innovations in Musculoskeletal Radiology

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