Use Of Magnetic Resonance Imaging Research Articles

E011 Magnetic resonance imaging in axial spondyloarthritis: usage, reporting times and scanning times - a service evaluation in a large tertiary centre

Abstract Background/Aims Rapid access to magnetic resonance imaging (MRI) of the spine and sacroiliac joints is essential for the timely diagnosis of axial spondyloarthritis (axSpA). A recent NASS/BRITSpA national FOI survey highlighted deteriorating waiting times to access MRI for the assessment of inflammatory back pain in the UK, with only 73% of Trusts reporting access within 8 weeks, compared to 90% in 2017. In addition, NHS England and the Royal College of Radiologists have recently published a target of 28 days for turn-around time (TAT) for a verified report to be provided after image acquisition in any circumstance. Aims: To evaluate the usage of MRI performed under the “inflammatory back pain protocol” at a large tertiary centre, including the time from MRI request to scan being performed, TAT for reporting and whether this has changed over time. Methods A service evaluation audit was conducted at Leeds Teaching Hospitals Trust (LTHT). MRIs of the spine and sacroiliac joints requested between December 2021 and May 2023 under the local “inflammatory back pain protocol” were identified by the radiology department. Data extracted from medical records included: indication for MRI request, time elapsed from request to scan, and from scan to verified report. Results A total of 668 MRI requests were identified. The commonest reason for MRI request was to aid the diagnosis of axSpA 75% (n = 501); followed by disease activity monitoring in established axSpA (16.7%, n = 111) and assessment of axial involvement in peripheral psoriatic arthritis, i.e. diagnosis of axPsA (8.5% n = 57 scans). The majority (92%) had a request to scan time of 8 weeks, with a TAT to report of 4 weeks (77%). However, a greater delay in TAT to verified report was seen from December 2022 to May 2023 with <45% of reports issued within 28 days, despite no change in scanning time. Causes identified were related to local workforce issues including delays in appointing new radiographers and radiology consultants. Conclusion The main reason for request of an MRI under the inflammatory back pain protocol at LTHT is to support making a diagnosis of axSpA. A significant number of patients were scanned for treatment monitoring and to diagnose axial psoriatic arthritis, although data on the utility of MRI for these indications are limited. Whilst nearly all patients were scanned within 2 months at all time periods, the TAT to report has significantly deteriorated since December 2022 in our region, due to workforce issues. Further understanding of the impact of workforce factors on service delivery in rheumatology is required. Disclosure J. Weddell: None. R. Shah: None. P. Robinson: None. A. Barr: None. C. Vandevelde: None. J. Freeston: None. D. McGonagle: None. H. Marzo-Ortega: None.

Magnetic Resonance Imaging Patterns of Common Injuries in Pediatric and Adolescent Athletes.

Injuries in pediatric and adolescent athletes continue to rise in the United States, with increases in year-round sports participation, earlier sport specialization, and inadequate access to neuromuscular training programs. In this setting, the use of magnetic resonance imaging (MRI) provides a critical diagnostic tool. This review article describes the utility of MRI in diagnosing common pediatric and adolescent sports injuries and presents imaging findings associated with these pathologies.

Utility of fast MRIs in pediatric elbow injuries

BackgroundPediatric elbow trauma presents a diagnostic challenge for clinicians. Radiographs may be insufficient in assessing the radiocapitellar alignment and advanced imaging or invasive procedures such as an intraoperative arthrogram may be indicated. The purpose of this study is to describe the application and utility of fast magnetic resonance imaging (MRI) in the diagnosis and management of traumatic elbow injuries in pediatric patients. MethodsWe reviewed pediatric patients who underwent a fast MRI of the elbow between 2014-2022. A fast MRI was defined as an MRI using rapid sequences, accelerated conventional sequences, or fewer conventional sequences than a standard exam. Imaging for chronic or non-traumatic injuries was excluded. We identified patient demographics, MRI scan times, and clinical course. ResultsTwenty-three patients (8 females and 15 males) with fast elbow MRI scans were identified. The mean age was 5 years (range 2-12 years, SD 2 years). All patients had radiographs and four had CT scans prior to MRI. The average scanning time was 14 minutes (SD 6 minutes). Only one patient required anesthesia. Twenty of the 23 patients had a fracture identified on elbow radiographs and 8 were Monteggia fracture-dislocations. Nine of these patients demonstrated subluxation of the radiocapitellar joint requiring operative management in 8 patients, and one additional patient underwent surgery for displaced radial neck fracture. Three patients sustained an elbow dislocation without fracture identified on radiographs; of these, one had persistent radiocapitellar subluxation on MRI requiring surgical management. A total of 13 patients (56.5%) did not require operative management based on fast MRI findings. Outcome data was available for 22 patients with mean follow up was 23.6 months. One patient had residual pain and 8 had some range of motion limitation at final follow-up. All patients had reduced elbow joint on follow-up radiographs. ConclusionsFast MRIs can assist with the clinical evaluation of acute elbow injury in pediatric patients with equivocal radiographic findings and particularly in those with possible radiocapitellar subluxation/dislocation. This novel imaging technique has the potential to change clinical management, decrease the need for unnecessary procedures, and prevent complications of missed injuries.

Does Magnetic Resonance Imaging Predict Neurological Deficit in Patients with Traumatic Lower Lumbar Fractures?

A retrospective cohort study. This study aimed to understand the role of magnetic resonance imaging (MRI) in predicting neurological deficits in traumatic lower lumbar fractures (LLFs; L3-L5). Despite studies on the radiological risk factors for neurological deficits in thoracolumbar fractures, very few have focused on LLFs. Moreover, the potential utility of MRI in LLFs has not been evaluated. In total, 108 patients who underwent surgery for traumatic LLFs between January 2010 and January 2020 were reviewed to obtain their demographic details, injury level, and neurology status at the time of presentation (American Spinal Injury Association [ASIA] grade). Preoperative computed tomography scans were used to measure parameters such as anterior vertebral body height, posterior vertebral body height, loss of vertebral body height, local kyphosis, retropulsion of fracture fragment, interpedicular distance, canal compromise, sagittal transverse ratio, and presence of vertical lamina fracture. MRI was used to measure the canal encroachment ratio (CER), cross-sectional area of the thecal sac (CSAT), and presence of an epidural hematoma. Of the 108 patients, 9 (8.3%) had ASIA A, 4 (3.7%) had ASIA B, 17 (15.7%) had ASIA C, 21 (19.4%) had ASIA D, and 57 (52.9%) had ASIA E neurology upon admission. The Thoracolumbar Injury Classification and Severity score (p =0.000), CER (p =0.050), and CSAT (p =0.019) were found to be independently associated with neurological deficits on the multivariate analysis. The receiver operating characteristic curves showed that only CER (area under the curve [AUC], 0.926; 95% confidence interval [CI], 0.860-0.968) and CSAT (AUC, 0.963; 95% CI, 0.908-0.990) had good discriminatory ability, with the optimal cutoff of 50% and 65.3 mm2, respectively. Based on the results, the optimal cutoff values of CER >50% and CSAT >65.3 mm2 can predict the incidence of neurological deficits in LLFs.

Clinical Evaluation of a 2-Minute Ultrafast Brain MR Protocol for Evaluation of Acute Pathology in the Emergency and Inpatient Settings.

The use of MR imaging in emergency settings has been limited by availability, long scan times, and sensitivity to motion. This study assessed the diagnostic performance of an ultrafast brain MR imaging protocol for evaluation of acute intracranial pathology in the emergency department and inpatient settings. Sixty-six adult patients who underwent brain MR imaging in the emergency department and inpatient settings were included in the study. All patients underwent both the reference and the ultrafast brain MR protocols. Both brain MR imaging protocols consisted of T1-weighted, T2/T2*-weighted, FLAIR, and DWI sequences. The ultrafast MR images were reconstructed by using a machine-learning assisted framework. All images were reviewed by 2 blinded neuroradiologists. The average acquisition time was 2.1 minutes for the ultrafast brain MR protocol and 10 minutes for the reference brain MR protocol. There was 98.5% agreement on the main clinical diagnosis between the 2 protocols. In head-to-head comparison, the reference protocol was preferred in terms of image noise and geometric distortion (P < .05 for both). The ultrafast ms-EPI protocol was preferred over the reference protocol in terms of reduced motion artifacts (P < .01). Overall diagnostic quality was not significantly different between the 2 protocols (P > .05). The ultrafast brain MR imaging protocol provides high accuracy for evaluating acute pathology while only requiring a fraction of the scan time. Although there was greater image noise and geometric distortion on the ultrafast brain MR protocol images, there was significant reduction in motion artifacts with similar overall diagnostic quality between the 2 protocols.

Modern low-field MRI.

This narrative review explores recent advancements and applications of modern low-field (≤ 1 Tesla) magnetic resonance imaging (MRI) in musculoskeletal radiology. Historically, high-field MRI systems (1.5T and 3T) have been the standard in clinical practice due to superior image resolution and signal-to-noise ratio. However, recent technological advancements in low-field MRI offer promising avenues for musculoskeletal imaging. General principles of low-field MRI systems are being introduced, highlighting their strengths and limitations compared to high-field counterparts. Emphasis is placed on advancements in hardware design, including novel magnet configurations, gradient systems, and radiofrequency coils, which have improved image quality and reduced susceptibility artifacts particularly in musculoskeletal imaging. Different clinical applications of modern low-field MRI in musculoskeletal radiology are being discussed. The diagnostic performance of low-field MRI in diagnosing various musculoskeletal pathologies, such as ligament and tendon injuries, osteoarthritis, and cartilage lesions, is being presented. Moreover, the discussion encompasses the cost-effectiveness and accessibility of low-field MRI systems, making them viable options for imaging centers with limited resources or specific patient populations. From a scientific standpoint, the amount of available data regarding musculoskeletal imaging at low-field strengths is limited and often several decades old. This review will give an insight to the existing literature and summarize our own experiences with a modern low-field MRI system over the last 3years. In conclusion, the narrative review highlights the potential clinical utility, challenges, and future directions of modern low-field MRI, offering valuable insights for radiologists and healthcare professionals seeking to leverage these advancements in their practice.

Comparative Diagnostic Accuracy of Computed Tomography Scan versus Magnetic Resonance Imaging in the Emergency Department for the Evaluation of Dizziness: A Systematic Review.

Introduction Both computed tomography (CT) and magnetic resonance imaging (MRI) play significant roles in assessing patients with dizziness. However, understanding the comparative capabilities of these imaging methods in detecting pathological causes is crucial for determining the most suitable modality. This review aims to evaluate the diagnostic accuracy and clinical utility of MRI and CT scans in managing patients with acute dizziness in the emergency department. Methods Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a comprehensive search in various databases (PubMed, Google Scholar, Cochrane library, British Medical Journals, and ScienceDirect) from 2010 to 2023. We used the QUADAS-2 tool to assess bias risk, considering MRI as the reference standard and CT scan as the index test. Results The final analysis included six studies, with 3,993 patients (48% male, 52% female; average age: 56.7 years). Three studies were of high quality, two of medium quality, and one of low quality. Central ischemia was the predominant diagnosis for dizziness. MRI demonstrated higher diagnostic efficacy for stroke compared with CT scans, while mixed results were observed for other multiple diseases when both MRI and CT scans were used. Conclusion MRI outperforms CT scans in diagnosing dizziness-related strokes. However, for other causes of dizziness, there is no significant difference between these techniques. Nevertheless, it is crucial to acknowledge the limitations associated with MRI. Consequently, to address these concerns, the selection of an imaging technique should be tailored to the individual based on factors such as their clinical presentation, comorbidities, and socioeconomic circumstances.

Application of Advanced Imaging to Prostate Cancer Diagnosis and Management: A Narrative Review of Current Practice and Unanswered Questions.

Major advances in prostate cancer diagnosis, staging, and management have occurred over the past decade, largely due to our improved understanding of the technical aspects and clinical applications of advanced imaging, specifically magnetic resonance imaging (MRI) and prostate-cancer-specific positron emission tomography (PET). Herein, we review the established utility of these important and exciting technologies, as well as areas of controversy and uncertainty that remain important areas for future study. There is strong evidence supporting the utility of MRI in guiding initial biopsy and assessing local disease. There is debate, however, regarding how to best use the imaging modality in risk stratification, treatment planning, and assessment of biochemical failure. Prostate-cancer-specific PET is a relatively new technology that provides great value to the evaluation of newly diagnosed, treated, and recurrent prostate cancer. However, its ideal use in treatment decision making, staging, recurrence detection, and surveillance necessitates further research. Continued study of both imaging modalities will allow for an improved understanding of their best utilization in improving cancer care.

Use of MRI in patients with severe diffuse traumatic brain injury: A matched National Trauma Data Bank analysis.

Magnetic resonance imaging (MRI) is increasingly used to evaluate patients with diffuse traumatic brain injury (dTBI). However, the utility of early MRI is understudied. We hypothesize that early MRI patients will have increased length of stay but no changes in intracranial pressure (ICP) management or disposition. The 2019 National Trauma Data Bank was queried for patients with dTBI and Glasgow Coma Scale score ≤8. Extra-axial and focal intra-axial hemorrhages were excluded. Clinical characteristics were controlled for. Patients with and without MRI were compared for ICP management, outcome, mortality, and disposition. A propensity score matching algorithm was used to create a 1:1 match cohort. In 2568 patients, MRI was less common in severe dTBI patients with clear reasons for poor examination, including bilaterally unreactive pupils or midline shift. After matching, 501 patients who underwent MRI within 1 week were compared with 501 patients without MRI. Magnetic resonance imaging patients had longer intensive care unit stays (11.6 ± 9.6 vs. 13.4 ± 9.5, p < 0.01; 95% confidence interval [95% CI], -3.03 to -0.66). There was no difference between groups in ICP monitor (23.6% vs. 27.3%; p = 0.17; 95% CI, -0.09 to 0.02) or ventriculostomy placement (13.6% vs. 13.2%, p = 0.85; 95% CI, -0.04 to 0.05) or in withdrawal of care (15.0% vs. 18.6%, p = 0.12; 95% CI, -0.08 to 0.01). MRI patients were more likely to be discharged to inpatient rehabilitation (42.9% vs. 33.5%; p < 0.01; 95% CI, 0.03-0.15) but not to home (9.4% vs. 9.0%; p = 0.83; 95% CI, -0.03 to 0.04). The decision to pursue early brain MRI may be driven by lack of obvious reasons for a patient's poor neurologic status. MRI patients had longer intensive care unit stays but no difference in rates of placement of ICP monitors or ventriculostomies or withdrawal of care. Further study is required to define the role of early MRI in dTBI patients. Prognostic and Epidemiological; Level IV.

Magnetic resonance imaging-guided intracranial resection of glioblastoma tumors in patient-derived orthotopic xenografts leads to clinically relevant tumor recurrence

BackgroundPreclinical in vivo cancer models are essential tools for investigating tumor progression and response to treatment prior to clinical trials. Although treatment modalities are regularly assessed in mice upon tumor growth in vivo, surgical resection remains challenging, particularly in the orthotopic site. Here, we report a successful surgical resection of glioblastoma (GBM) in patient-derived orthotopic xenografts (PDOXs).MethodsWe derived a cohort of 46 GBM PDOX models that faithfully recapitulate human disease in mice. We assessed the detection and quantification of intracranial tumors using magnetic resonance imaging (MRI).To evaluate feasibility of surgical resection in PDOXs, we selected two models representing histopathological features of GBM tumors, including diffuse growth into the mouse brain. Surgical resection in the mouse brains was performed based on MRI-guided coordinates. Survival study followed by MRI and immunohistochemistry-based evaluation of recurrent tumors allowed for assessment of clinically relevant parameters.ResultsWe demonstrate the utility of MRI for the noninvasive assessment of in vivo tumor growth, preoperative programming of resection coordinates and follow-up of tumor recurrence. We report tumor detection by MRI in 90% of GBM PDOX models (36/40), of which 55% (22/40) can be reliably quantified during tumor growth. We show that a surgical resection protocol in mice carrying diffuse primary GBM tumors in the brain leads to clinically relevant outcomes. Similar to neurosurgery in patients, we achieved a near total to complete extent of tumor resection, and mice with resected tumors presented significantly increased survival. The remaining unresected GBM cells that invaded the normal mouse brain prior to surgery regrew tumors with similar histopathological features and tumor microenvironments to the primary tumors.ConclusionsOur data positions GBM PDOXs developed in mouse brains as a valuable preclinical model for conducting therapeutic studies that involve surgical tumor resection. The high detectability of tumors by MRI across a substantial number of PDOX models in mice will allow for scalability of our approach toward specific tumor types for efficacy studies in precision medicine-oriented approaches. Additionally, these models hold promise for the development of enhanced image-guided surgery protocols.

Prostate MRI for the detection of clinically significant prostate cancer: Update and future directions.

In recent decades, there has been an increasing role for magnetic resonance imaging (MRI) in the detection of clinically significant prostate cancer (csPC). The purpose of this review is to provide an update and outline future directions for the role of MRI in the detection of csPC. In diagnosing clinically significant prostate cancer pre-biopsy, advances include our understanding of MRI-targeted biopsy, the role of biparametric MRI (non-contrast) and changing indications, for example the role of MRI in screening for prostate cancer. Furthermore, the role of MRI in identifying csPC is maturing, with emphasis on standardization of MRI reporting in active surveillance (PRECISE), clinical staging (EPE grading, MET-RADS-P) and recurrent disease (PI-RR, PI-FAB). Future directions of prostate MRI in detecting csPC include quality improvement, artificial intelligence and radiomics, positron emission tomography (PET)/MRI and MRI-directed therapy. The utility of MRI in detecting csPC has been demonstrated in many clinical scenarios, initially from simply diagnosing csPC pre-biopsy, now to screening, active surveillance, clinical staging, and detection of recurrent disease. Continued efforts should be undertaken not only to emphasize the reporting of prostate MRI quality, but to standardize reporting according to the appropriate clinical setting.

Prognostic relevance of MRI in early relapsing multiple sclerosis: ready to guide treatment decision making?

Magnetic resonance imaging (MRI) of the brain and spinal cord plays a crucial role in the diagnosis and monitoring of multiple sclerosis (MS). There is conclusive evidence that brain and spinal cord MRI findings in early disease stages also provide relevant insight into individual prognosis. This includes prediction of disease activity and disease progression, the accumulation of long-term disability and the conversion to secondary progressive MS. The extent to which these MRI findings should influence treatment decisions remains a subject of ongoing discussion. The aim of this review is to present and discuss the current knowledge and scientific evidence regarding the utility of MRI at early MS disease stages for prognostic classification of individual patients. In addition, we discuss the current evidence regarding the use of MRI in order to predict treatment response. Finally, we propose a potential approach as to how MRI data may be categorized and integrated into early clinical decision making.

The Pediatric Neuroradiologist's Practical Guide to Capture and Evaluate Pre- and Postoperative Velopharyngeal Insufficiency.

Up to 30% of children with cleft palate will develop a severe speech disorder known as velopharyngeal insufficiency. Management of velopharyngeal insufficiency typically involves structural and functional assessment of the velum and pharynx by endoscopy and/or videofluoroscopy. These methods cannot provide direct evaluation of underlying velopharyngeal musculature. MR imaging offers an ideal imaging method, providing noninvasive, high-contrast, high-resolution imaging of soft-tissue anatomy. Furthermore, focused-speech MR imaging techniques can evaluate the function of the velum and pharynx during sustained speech production, providing critical physiologic information that supplements anatomic findings. The use of MR imaging for velopharyngeal evaluation is relatively novel, with limited literature describing its use in clinical radiology. Here we provide a practical approach to perform and interpret velopharyngeal MR imaging examinations. This article discusses the velopharyngeal MR imaging protocol, methods for interpreting velopharyngeal anatomy, and examples illustrating its clinical applications. This knowledge will provide radiologists with a new, noninvasive tool to offer to referring specialists.

SCAM-GAN: Generating brain MR images from CT scan data based on CycleGAN combined with attention module

The diagnosis of epilepsy often depends heavily on Magnetic Resonance Imaging (MRI). Unfortunately, the utilization of MRI is constrained, due to its expensive price and lengthy operating times. More significantly, certain people with claustrophobia or cardiac pacemakers are not candidates for MRI owing to the risk of harm. Computed tomography (CT) images, in comparison, are considerably faster, cheaper, and free from the same restrictions. As opposed to conventional medical imaging synthetic techniques, which rely on abundant unpaired data or a minimum number of paired data, the proposed method in this study utilizes unpaired training data to predict an MR picture from a CT scan. This method overcomes tight registration problem in paired training and reduces the challenge of context mismatch in unpaired training. It is possible to convert 2D brain MR pictures from CT scans using the Spatial & Channel Attention Mechanism-Generative Adversarial Network (SCAM-GAN) that includes cycle-consistent and adversarial losses. The superiority of the proposed strategy was established by quantitative comparisons versus separate training approaches which are paired and unpaired.

Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images.

Magnetic resonance imaging (MRI) is increasingly being used to delineate morphological changes underlying neurological disorders. Successfully detecting these changes depends on the MRI data quality. Unfortunately, image artifacts frequently compromise the MRI utility, making it critical to screen the data. Currently, quality assessment requires visual inspection, a time-consuming process that suffers from inter-rater variability. Automated methods to detect MRI artifacts could improve the efficiency of the process. Such automated methods have achieved high accuracy using small datasets, with balanced proportions of MRI data with and without artifacts. With the current trend towards big data in neuroimaging, there is a need for automated methods that achieve accurate detection in large and imbalanced datasets. Deep learning (DL) is the ideal MRI artifact detection algorithm for large neuroimaging databases. However, the inference generated by DL does not commonly include a measure of uncertainty. Here, we present the first stochastic DL algorithm to generate automated, high-performing MRI artifact detection implemented on a large and imbalanced neuroimaging database. We implemented Monte Carlo dropout in a 3D AlexNet to generate probabilities and epistemic uncertainties. We then developed a method to handle class imbalance, namely data-ramping to transfer the learning by extending the dataset size and the proportion of the artifact-free data instances. We used a 34,800 scans (98% clean) dataset. At baseline, we obtained 89.3% testing accuracy (F1 = 0.230). Following the transfer learning (with data-ramping), we obtained 94.9% testing accuracy (F1 = 0.357) outperforming focal cross-entropy (92.9% testing accuracy, F1 = 0.304) incorporated for comparison at handling class imbalance. By implementing epistemic uncertainties, we improved the testing accuracy to 99.5% (F1 = 0.834), outperforming the results obtained in previous comparable studies. In addition, we estimated aleatoric uncertainties by incorporating random flips to the MRI volumes, and demonstrated that aleatoric uncertainty can be implemented as part of the pipeline. The methods we introduce enhance the efficiency of managing large databases and the exclusion of artifact images from big data analyses.

MRI Detection of Osteoporosis Bone Fractures Opposed to DEXA Scan

The study emphasizes the advancement achieved through Magnetic Resonance Imaging (MRI) technology in identifying bone fractures, particularly in cases such as osteoporosis. The paper explores the utilization of MRI in examining bone health to determine fracture risks, particularly those caused by osteoporosis while identifying the limitations of Dual-Energy X-ray absorptiometry (DEXA) scans for comprehensive insights. As evident, the utilization of DEXA scans permits the measurement of Bone Mineral Density (BMD) and the identification of fracture susceptibility. However, the depth of information provided by DEXA scans falls short of that attainable through MRI scans. The researcher's strategy involves a comprehensive evaluation of methods for assessing bone health, encompassing the significance of BMD and the limitations associated with DEXA scans. Moreover, the study delves into the potential utilization of MRI in offering a holistic measurement of bone health and mitigating the risk of osteoporotic fractures. As revealed, MRI meticulously examines bone properties via a process involving magnetic manipulation of protons, creating cross-sectional images that offer unique insights into internal structure. MRI surpasses DEXA in detecting Osteoporotic Bone Fractures, offering a comprehensive understanding essential for treatment planning and patient recovery. Its early detection prevents complications and guides interventions effectively. This technique employs T1-weighted, T2-weighted, and proton-density imaging to analyze complex bone webs. Therefore, the researcher strongly recommends further research to harness MRI's evolving capabilities, enabling more accurate, individualized assessments of fracture risks and treatment strategies, ultimately enhancing fracture care with precise diagnoses and tailored approaches for improved health outcomes.

Ankylosing spondylitis impact on knee cartilage thickness: correlation with demographic data and clinical characteristics

BackgroundAnkylosing spondylitis (AS) is a progressive inflammatory disease involving cartilaginous structures in the spine and peripheral joints. However, the number of the studies assessing knee cartilage thickness in AS and its correlations with parameters of disease activity/severity is even less. We aimed to assess the impact of AS on knee cartilage thickness using musculoskeletal ultrasound (MSUS) and magnetic resonance imaging (MRI).MethodsTwenty-five AS patients and 25 healthy individuals (15 served for MSUS assessment, and 10 served for MRI assessment) were included. By employing MRI “using a 1.5-T machine” and MSUS “with a 10–18-MHz linear probe,” respectively, the thickness of the femorotibial cartilage and femoral cartilage was assessed.ResultsCompared to healthy controls, AS patients showed statistically significantly thinner cartilage thickness (P < 0.05) at all femorotibial cartilage subdivisions and the medial femoral condyle and intercondylar area on both sides. Femoral cartilage thickness measurements either assessed by MSUS or MRI were negatively correlated with age, measures of disease activity, and Bath Ankylosing Spondylitis Radiology Index for the spine (BASRI-s) (P < 0.05). However, MRI tibial cartilage thickness was negatively correlated with disease duration and measures of spinal mobility, functional limitation, and BASRI-s (P < 0.05). MRI total cartilage thickness measurements at the femoral condyle were negatively correlated with Bath Ankylosing Spondylitis Functional Index (BASFI) and Ankylosing Spondylitis Disease Activity Score-erythrocyte sedimentation rate (ASDAS ESR) (P = 0.04 and P = 0.03, respectively). A positive correlation was found between MSUS and MRI total femoral cartilage thickness (P = 0.02).ConclusionsThe knee cartilage thickness of AS patients was thinner than that of healthy controls. The correlations between cartilage thickness and patient variables demonstrate MSUS and MRI's utility in identifying knee cartilage loss areas in AS patients.

Advancements in the research of combining MRI and CRISPR technology for the treatment of breast cancer

Cancer remains a significant contributor to global mortality, posing a considerable public health challenge. Among the various types of cancer, breast cancer stands out as one of the most prevalent among women worldwide. Ongoing efforts are dedicated to the development of innovative treatments with minimal side effects. A groundbreaking genome technique for editing, CRISPR-associated protein-9 (Cas9), also known as clustered regularly interspaced short palindromic repeat (CRISPR), has become an effective instrument for genetic modification. This technology has revolutionized genome editing across diverse biological fields, including its applications in genome therapy and tumor research. With ongoing advancements in sensitivity, specificity, and diagnostic accuracy, magnetic resonance imaging (MRI) has gained increasing recognition for the detection of breast cancer. MRIs capability to produce high-resolution images plays a pivotal role in aiding healthcare professionals in precise localization of breast masses, tumors, and other abnormalities. Additionally, it facilitates the assessment of parameters like tumor size, extent, and lymph node involvement, contributing to the formulation of more accurate treatment strategies. Here is a review summary of the combined utilization of MRI and CRISPR technology in breast cancer treatment. It explores the synergy between these two technologies, discussing their advantages and disadvantages and their potential to enhance diagnostic and therapeutic outcomes.

The accuracy of MRI in detecting pathological complete response following neoadjuvant chemotherapy in different breast cancer subtypes

BackgroundPathological complete response (pCR) following neo-adjuvant chemotherapy (NACT) for breast cancer is associated with improved disease-free and overall survival in certain breast cancer subtypes. Magnetic Resonance Imaging (MRI) is increasingly used as standard to assess treatment response in patients receiving NACT. The aim of this study was to determine the clinical utility of MRI in accurately predicting pCR post-NACT. MethodsA single-centre, retrospective study was conducted in breast cancer patients, who received NACT between 2013 and 2020. Patients who had an MRI before and after NACT were included. Pathological and MRI radiological response rates to NACT were analyzed and MRI accuracy assessed in detecting pCR according to breast cancer subtype. ResultsOne hundred and sixty-seven patients were included in the study. Forty-one of the 167 patients achieved pCR (24.6 %), with the highest proportion in HR- HER2+ subgroup (58.3 %), followed by triple negative breast cancer (TNBC) (35 %). Only 22.2 % and 10.5 % of patients with HR + HER2+ and HR + HER2-respectively achieved pCR. The overall accuracy of MRI in predicting pCR after NACT was 77.3 %. The greatest accuracy was in TNBC (87.5 %) with a specificity and positive predictive value (PPV) of 100 % and the highest number of correctly diagnosed complete responses (14 of 40). MRI was less accurate in predicting response rates in HR + HER2- (PPV 91.2 %) and HR + HER2+ groups (PPV 90.5 %). MRI performed significantly better in predicting complete response in TNBC compared to HR + HER2-subtype (p = 0.0057). ConclusionMRI is a clinically useful adjunct in assessing pCR following NACT and appears to predict pathological response more accurately in TNBC compared to HR + HER2-breast cancer subtypes. This has significant clinical implications in terms of surgical planning, adjuvant treatment options and prognosis.

Ultrasound and magnetic resonance imaging in thoracic tuberculosis in the pediatric population: moving beyond conventional radiology.

Imaging is crucial in the diagnostic work-up and follow-up after treatment in children with thoracic tuberculosis (TB). Despite various technological advances in imaging modalities, chest radiography is the primary imaging modality for initial care and in emergency settings, especially in rural areas and where resources are limited. Ultrasonography (US) of the thorax in TB is one of the emerging applications of US as a radiation-free modality in children. Magnetic resonance imaging (MRI) is the ideal radiation-free, emerging imaging modality for thoracic TB in children. However, only limited published data is available regarding the utility of MRI in thoracic TB. In this pictorial review, we demonstrate the use of US and rapid lung MRI in evaluating children with thoracic TB, specifically for mediastinal lymphadenopathy and pulmonary complications of TB.