European radiology
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Comparative Study
Ultrasound- versus fluoroscopy-guided injections in the lower back for the management of pain: a systematic review.
Ultrasound-guided spinal injections are less common than fluoroscopy-guided injections. Although unable to penetrate bones, ultrasound guidance has a number of advantages including convenience and reduced exposure to ionizing radiation. However, it is not known how ultrasound-guided injections compare to fluoroscopy-guided injections in the management of lower back pain. Our objective is to systematically review the literature comparing ultrasound-guided injections to fluoroscopy-guided injections for the management of lower back pain. ⋯ • There were no differences in pain relief, procedure time, number of needle passes, changes in disability indices, complications or adverse events, post-procedure opioid consumption, or patient satisfaction between ultrasound- and fluoroscopy-guided injections for the management of lower back pain. • Given the lack of evidence to demonstrate superior efficacy and the added harms with fluoroscopic guidance, ultrasound guidance may be the preferred method of guidance for injections to manage lower back pain in appropriate patients. Further study is required to understand the exact role of ultrasound in image-guided injections.
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The recent explosion of 'big data' has ushered in a new era of artificial intelligence (AI) algorithms in every sphere of technological activity, including medicine, and in particular radiology. However, the recent success of AI in certain flagship applications has, to some extent, masked decades-long advances in computational technology development for medical image analysis. In this article, we provide an overview of the history of AI methods for radiological image analysis in order to provide a context for the latest developments. ⋯ We discuss the unique characteristics of medical data and medical science that set medicine apart from other technological domains in order to highlight not only the potential of AI in radiology but also the very real and often overlooked constraints that may limit the applicability of certain AI methods. Finally, we provide a comprehensive perspective on the potential impact of AI on radiology and on how to evaluate it not only from a technical point of view but also from a clinical one, so that patients can ultimately benefit from it. KEY POINTS: • Artificial intelligence (AI) research in medical imaging has a long history • The functioning, strengths and limitations of more classical AI methods is reviewed, together with that of more recent deep learning methods. • A perspective is provided on the potential impact of AI on radiology and on its evaluation from both technical and clinical points of view.
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To perform a systematic review and meta-analysis to identify magnetic resonance imaging (MRI) features that will aid in the diagnosis of adhesive capsulitis of the shoulder (ACS) and provide a summary of the diagnostic accuracy of the identified features METHODS: The MEDLINE and EMBASE databases were searched for studies assessing the diagnostic accuracy of MRI features of ACS. Overlapping descriptors used to denote the same imaging finding in different studies were subsumed under a single feature. The pooled accuracy including the diagnostic odd ratios (DORs) with 95% confidence intervals (CIs) of the identified features was calculated using a bivariate random-effects model. ⋯ • Six informative MRI features for ACS diagnosis were identified (diagnostic odds ratio > 1). • RI and axillary joint capsule enhancement and IGHL hyperintensity showed high sensitivities/specificities (> 80%). • The use of non-arthrogram MRI is recommended for ACS diagnosis.
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A side-by-side comparison of updated guidelines regarding contrast medium-induced acute kidney injury (CI-AKI) from the Swedish Society of Uroradiology (SSUR) and the European Society of Urogenital Radiology (ESUR) is presented. The major discrepancies include a higher glomerular filtration rate (GFR) threshold as a risk factor for CI-AKI and for discontinuation of metformin by SSUR, i.e., < 45 ml/min versus < 30 ml/min/1.73 m2 by ESUR, when intravenous or intra-arterial contrast media (CM) with second-pass renal exposure is administered. SSUR also continues to recommend consideration of traditional non-renal risk factors such as diabetes and congestive heart failure, while ESUR considers these factors as non-specific for CI-AKI and does not recommend any consideration. ⋯ CM dose/GFR ratio thresholds established for coronary angiography/interventions are also applied as recommendations for CM-enhanced CT by SSUR, since SSUR regards coronary procedures as a second-pass renal exposure of CM with no obvious difference in the incidence of AKI compared with IV CM administration. Finally, SSUR recommends reducing the gram-iodine dose/GFR ratio from < 1.0 in patients not at risk to < 0.5 in patients at risk of CI-AKI, while ESUR has no such recommendation. KEY POINTS: • The more cautionary attitude taken by SSUR compared with that of ESUR is motivated by insufficient evidence regarding risk for contrast medium-induced acute kidney injuries (CI-AKI). • SSUR recommends that absolute and not relative GFR should be used when dosing drugs eliminated by the kidneys such as contrast media. • According to SSUR the gram-iodine dose/GFR ratio should be < 0.5 in patients at risk of CI-AKI, while ESUR has no such recommendation.
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Review Meta Analysis
Complications following ultrasound-guided core needle biopsy of thyroid nodules: a systematic review and meta-analysis.
To identify the complication rate associated with US-guided core needle biopsy (CNB) of thyroid lesions using a systematic review and meta-analysis. ⋯ • Various complications occurred after CNB of thyroid lesions, but the pooled complication rate was low (1.11%, I 2 = 87.2%). • The pooled proportion of major complications (0.06%) was much lower than that of minor complications (1.08%). • There was no significant differences between studies on Asian vs. non-Asian groups, radiologist vs. non-radiologist groups, nodule size <20 mm vs. nodule size ≥20 mm groups, CNB vs. CNB-plus-FNA groups, or studies performed before 2012 vs. after 2012.