A non-cardiac applications of T1-mapping

T1-mapping has proven to be a valuable tool in cardiac imaging. While mainly used in cardiac MRI, it is investigated for usage and application of T1-mapping to imaging of other organs and systems, including abdominal imaging, musculoskeletal imaging or neuroradiology, resulting in potential new prospects for medical imaging. T1-mapping provides numerical data on an inherent, physical property of imaged tissue – enabling quantitative and comparative assessment of tissue characterization f.ex. fibrosis, amyloid contents, fatty transformation, myelinization or contrast enhancement as well as lesion characterization. Reports of application of T1-mapping in assessment of liver, kidney or pancreas fibrosis create perspectives of reducing the number of invasive diagnostic procedures, such as biopsies, as well as monitoring treatment response or disease progression. Furthermore T1-mapping can potentially replace MR elastography in assessment of liver fibrosis or used in thyroid fibrosis to define degree of destruction in AIT or other thyroid diseases. In neuroradiology T1-mapping is promising in the spine imaging, enabling better characterization of spinal cord lesions also has a potential to evaluate effectiveness of conservative or operative treatment. There are also successful reports of employing T1-mapping in orbital imaging, such as in predicting steroid resistant diplopia in Graves’ disease or in evaluation of diabetic cataracts. In musculoskeletal imaging, T1-relaxation could be a possible biomarker of bone quality that could play a role in osteoporotic fracture risk assessment. In conclusion, T1-mapping shows promise as a quantitative method complementary to standard MR imaging beyond cardiac MRI, and needs further research and validation efforts to establish its place in standard diagnostic protocols.

Tips for Reporting Musculoskeletal Imaging Studies: Lessons Learned

This paper is designed to be read by radiological trainees who are starting out with reporting musculoskeletal imaging studies. Based on the author's experience of over 25 years, it provides tips on how to report musculoskeletal imaging succinctly and effectively using a prose style report.

Are Maltese General Practitioners’ Musculoskeletal Imaging Requests Indicated for Diagnostic or Clinical Management Purposes? – A Research Study

Research Objectives: This research study aimed to determine whether the patients' exposures to ionizing radiation via plain musculoskeletal radiography are indicated for the diagnostic or clinical management purposes, according to standards defined in the European Commission (Radiation safety 118) Referral Guidelines for Imaging (2001), as well as the Royal College of Radiologists (RCR) i-Refer guidelines (2017). Research Methods: A non-experimental, exploratory research design was adopted to answer the objectives of this study. Data were collected through 694 electronic, musculoskeletal imaging requests that were selected via cluster random sampling. The data collected were quantitative in nature. The study had a 3.7 % margin of error (at a confidence level of 95 %) in relation to the analysed imaging request forms. Data were analysed using descriptive statistics. A p-value of ≤ 0.05 at a confidence level of 95 % was considered as statistically significant. Results: Only 20.5 % of plain, musculoskeletal imaging requests that are being referred by Maltese, state health centres G.Ps are classified as indicated for diagnostic or clinical management purposes. In addition, 65.3 % of plain, musculoskeletal imaging requests were classified in the not routinely indicated category. The lumbo-sacral spine is the region that has registered the highest number of cases in the not routinely indicated category; being closely followed by the knee and the cervical spine respectively. These findings indicate that there is a greater tendency for Maltese state health centres G.Ps to request plain, musculoskeletal imaging investigations which are not routinely warranted according to the European Commission RP118 (2001) or the RCR i-Refer (2017) gold-standard imaging referral guidelines. Moreover, 40.0 % of these imaging requests were also referred with insufficient clinical details. Recommendations: Based on the research findings as well as the available literature, the following recommendations are being suggested: Continuing medical education in radiation safety and imaging referral criteria for Maltese state health centres G.Ps and G.P. trainees; Issuing regular departmental memos about any related evidence-based research findings; Ensuring the availability of the imaging referral guidelines on the desktops of all workplace computers, and promoting the use of imaging referral guidelines as well as kindling the safety-net of asking for advice from senior colleagues or radiologists whenever the referrers are in doubt about the management of a particular clinical case; Promoting the development of refinements and updates of locally applicable imaging referral guidelines to address any potential gaps in the older versions; Considering the introduction of a pro-forma clinical checklist for requesting online plain imaging investigations to aid G.Ps in improving the appropriateness of their imaging requests at times of clinical controversy, as well as in providing all the relevant clinical details for reporting; Organizing a radiation protection campaign to both the Primary Health Care Department (Malta) as well as to members of the general public and considering the use of radiation protection booklets or posters that may be distributed or show-cased to the patients whilst still in the primary care clinics waiting areas.

Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging

Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning (DL) reconstruction for MRI is increasingly gaining attention due to its potential to improve the image quality and reduce the acquisition time simultaneously. However, the technology has not yet been implemented in clinical routine for turbo spin echo (TSE) sequences in musculoskeletal imaging. The aim of this study was therefore to assess the technical feasibility and evaluate the image quality. Sixty examinations of knee, hip, ankle, shoulder, hand, and lumbar spine in healthy volunteers at 3 T were included in this prospective, internal-review-board-approved study. Conventional (TSES) and DL-based TSE sequences (TSEDL) were compared regarding image quality, anatomical structures, and diagnostic confidence. Overall image quality was rated to be excellent, with a significant improvement in edge sharpness and reduced noise compared to TSES (p < 0.001). No difference was found concerning the extent of artifacts, the delineation of anatomical structures, and the diagnostic confidence comparing TSES and TSEDL (p > 0.05). Therefore, DL image reconstruction for TSE sequences in MSK imaging is feasible, enabling a remarkable time saving (up to 75%), whilst maintaining excellent image quality and diagnostic confidence.

AI MSK clinical applications: spine imaging

Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.