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Diagnostics
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Magnetic Resonance Highlights
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Magnetic Resonance Highlights

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (30 October 2021) | Viewed by 9227

Special Issue Editor

Prof. Dr. Rute Santos

E-Mail Website
Guest Editor
1. Medical Imaging and Radiotherapy Department, Coimbra Health School, Polytechnic Institute of Coimbra, 3046-854 Coimbra, Portugal
2. Laboratory for Applied Health Research (LabinSaúde), Rua 5 de Outubro—SM Bispo, Apartado 7006, 3046-854 Coimbra, Portugal
Interests: ultrasound imaging; medical imaging diagnostics; aging; musculoskeletal disorders; fascia; obstetrics ultrasound
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Magnetic resonance (MR) is an imaging modality with high diagnostic equity, supported also by not using ionizing radiation. MR imaging provides a more detailed assessment of structures and a more accurate diagnosis regarding different pathologies. Also, the use of contrast media increases the study of different pathologies by analysing its enhancement or absence of it. The technological advance allows unlimited access to diagnosis and assessment of the patients. Hybrid imaging has been the new challenge in diagnosis and treatment, providing greater benefit in the use of different imaging techniques. MR safety is increasingly important nowadays, focusing the patient care and patients perception and knowledge about this imaging technique.

The aims of this Special Issue are to show the potential of this image modality as well as demonstrate its advances and concerns about its use, always regarding the patient position in the healthcare system.

Prof. Dr. Rute Santos
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Magnetic resonance
  • Safety
  • Patient care
  • Hybrid imaging
  • diagnosis

Published Papers (3 papers)

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Research

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10 pages, 9533 KiB  
Article
Reference Values of Native T1 at 3T Cardiac Magnetic Resonance—Standardization Considerations between Different Vendors
by Liliana Tribuna, Pedro Belo Oliveira, Alba Iruela, João Marques, Paulo Santos and Tiago Teixeira
Diagnostics 2021, 11(12), 2334; https://doi.org/10.3390/diagnostics11122334 - 11 Dec 2021
Cited by 3 | Viewed by 2166
Abstract
This study aimed at establishing native T1 reference values for a Canon Vantage Galan 3T system and comparing them with previously published values from different vendors. A total of 20 healthy volunteers (55% Women; 33.9 ± 11.1 years) underwent left ventricular T1 mapping [...] Read more.
This study aimed at establishing native T1 reference values for a Canon Vantage Galan 3T system and comparing them with previously published values from different vendors. A total of 20 healthy volunteers (55% Women; 33.9 ± 11.1 years) underwent left ventricular T1 mapping at 3T MR. A MOLLI 5(3)3 sequence was used, acquiring three short-axis slices. Native T1 values are shown as means (±standard deviation) and Student’s independent samples t-test was used to test gender differences in T1 values. Pearson’s correlation coefficient analysis was used to compare two processes of T1 analysis. The results show a global native T1 mean value of 1124.9 ± 55.2 ms (exponential analysis), that of women being statistically higher than men (1163 ± 30.5 vs. 1077.9 ± 39.5 ms, respectively; p < 0.001). There were no specific tendencies for T1 times in different ventricular slices. We found a strong correlation (0.977, p < 0.001) with T1 times derived from parametric maps (1136.4 ± 60.2 ms). Native T1 reference values for a Canon 3T scanner were provided, and they are on par with those already reported from other vendors for a similar sequence. We also found a correlation between native T1 and gender, with higher values for women. Full article
(This article belongs to the Special Issue Magnetic Resonance Highlights)
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17 pages, 2683 KiB  
Article
Quantitative Magnetic Resonance Imaging in Perianal Crohn’s Disease at 1.5 and 3.0 T: A Feasibility Study
by Ali Alyami, Caroline L. Hoad, Christopher Tench, Uday Bannur, Christopher Clarke, Khalid Latief, Konstantinos Argyriou, Alan Lobo, Philip Lung, Rachel Baldwin-Cleland, Kapil Sahnan, Ailsa Hart, Jimmy K. Limdi, John Mclaughlin, David Atkinson, Geoffrey J. M. Parker, James P. B. O’Connor, Ross A. Little, Penny A. Gowland and Gordon W. Moran
Diagnostics 2021, 11(11), 2135; https://doi.org/10.3390/diagnostics11112135 - 17 Nov 2021
Cited by 2 | Viewed by 2483
Abstract
Perianal Crohn’s Disease (pCD) is a common manifestation of Crohn’s Disease. Absence of reliable disease measures makes disease monitoring unreliable. Qualitative MRI has been increasingly used for diagnosing and monitoring pCD and has shown potential for assessing response to treatment. Quantitative MRI sequences, [...] Read more.
Perianal Crohn’s Disease (pCD) is a common manifestation of Crohn’s Disease. Absence of reliable disease measures makes disease monitoring unreliable. Qualitative MRI has been increasingly used for diagnosing and monitoring pCD and has shown potential for assessing response to treatment. Quantitative MRI sequences, such as diffusion-weighted imaging (DWI), dynamic contrast enhancement (DCE) and magnetisation transfer (MT), along with T2 relaxometry, offer opportunities to improve diagnostic capability. Quantitative MRI sequences (DWI, DCE, MT and T2) were used in a cohort of 25 pCD patients before and 12 weeks after biological therapy at two different field strengths (1.5 and 3 T). Disease activity was measured with the Perianal Crohn’s Disease Activity index (PDAI) and serum C-reactive protein (CRP). Diseased tissue areas on MRI were defined by a radiologist. A baseline model to predict outcome at 12 weeks was developed. No differences were seen in the quantitative MR measured in the diseased tissue regions from baseline to 12 weeks; however, PDAI and CRP decreased. Baseline PDAI, CRP, T2 relaxometry and surgical history were found to have a moderate ability to predict response after 12 weeks of biological treatment. Validation in larger cohorts with MRI and clinical measures are needed in order to further develop the model. Full article
(This article belongs to the Special Issue Magnetic Resonance Highlights)
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Review

Jump to: Research

11 pages, 4505 KiB  
Review
Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?
by Sebastian Gassenmaier, Thomas Küstner, Dominik Nickel, Judith Herrmann, Rüdiger Hoffmann, Haidara Almansour, Saif Afat, Konstantin Nikolaou and Ahmed E. Othman
Diagnostics 2021, 11(12), 2181; https://doi.org/10.3390/diagnostics11122181 - 24 Nov 2021
Cited by 43 | Viewed by 3716
Abstract
Deep learning technologies and applications demonstrate one of the most important upcoming developments in radiology. The impact and influence of these technologies on image acquisition and reporting might change daily clinical practice. The aim of this review was to present current deep learning [...] Read more.
Deep learning technologies and applications demonstrate one of the most important upcoming developments in radiology. The impact and influence of these technologies on image acquisition and reporting might change daily clinical practice. The aim of this review was to present current deep learning technologies, with a focus on magnetic resonance image reconstruction. The first part of this manuscript concentrates on the basic technical principles that are necessary for deep learning image reconstruction. The second part highlights the translation of these techniques into clinical practice. The third part outlines the different aspects of image reconstruction techniques, and presents a review of the current literature regarding image reconstruction and image post-processing in MRI. The promising results of the most recent studies indicate that deep learning will be a major player in radiology in the upcoming years. Apart from decision and diagnosis support, the major advantages of deep learning magnetic resonance imaging reconstruction techniques are related to acquisition time reduction and the improvement of image quality. The implementation of these techniques may be the solution for the alleviation of limited scanner availability via workflow acceleration. It can be assumed that this disruptive technology will change daily routines and workflows permanently. Full article
(This article belongs to the Special Issue Magnetic Resonance Highlights)
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