Prediction Modelling for Gastroesophageal Variceal Bleeding in Patients With Chronic Hepatitis B Using Four-dimensional Flow MRI.

Background/Aims: In this study, we aim to develop a model for predicting gastroesophageal varices (GEV) bleeding in patients with chronic hepatitis B (CHB) by utilizing hemodynamic parameters obtained through four-dimensional flow MRI (4D flow MRI). Methods: This study conducted a prospective enrollment of CHB patients suspected of GEV from October 2021 to May 2022. The severity of varices and bleeding risk were evaluated using clinical findings and upper gastrointestinal endoscopy, and patients were classified into high-risk and non-high-risk groups. The study utilized serological examination, ultrasonographic examination, and 4D flow MRI. Relevant parameters were selected through univariate and multivariate analyses, and a prediction model was established using binary logistic regression analysis. The model was combined with the Baveno Ⅵ/Ⅶ and Expanded Baveno Ⅵ/Ⅶ criteria to evaluate diagnostic efficacy and the risk of avoiding endoscopic examination. Results: A total of 40 CHB patients were enrolled and categorized into the high-risk group (n = 15) and the non-high-risk group (n = 25). The spleen diameter and regurgitant fraction (R%) were independent predictors of variceal bleeding and a predictive model was established. The combination of this prediction model and the Baveno Ⅵ/Ⅶ criteria achieved high diagnostic efficiency, enabling 45.00% (18/40) of patients to be exempted from the unnecessary endoscopic procedure and the high-risk misclassification rate (0%) was less than 5%. Conclusion: The prediction model generated by 4D flow MRI has the potential to assess the likelihood of varices and can be supplemented by the Baveno VI/VII criteria to improve diagnostic accuracy in CHB patients.

Hybrid FDG-PET/MRI for Diagnosis and Clinical Management of Patients with Suspected Perihilar Cholangiocarcinoma: A Feasibility Pilot Study.

Purpose: Recently introduced hybrid 2-[18 F]-fluoro-2-deoxy-D-glucose (18 F-FDG) Positron Emission Tomography (PET) combined with Magnetic Resonance Imaging (MRI) may aid in proper diagnosis and staging of perihilar cholangiocarcinoma (pCCA). The aim of this study is to assess the effect of 18 F-FDG PET/MRI on diagnosis and clinical decision making in the pre-operative work up of pCCA. Methods: In this single-centre pilot study patients with presumed resectable pCCA underwent state-of-the-art 18 F-FDG hybrid PET/MRI using digital silicone photomultiplier detectors integrated within a 3-Tesla bore. Data were collected on several baseline and imaging characteristics. The primary outcome measure was the added diagnostic information and the effect on clinical decision making. Secondary aim was to correlate quantitative PET signal intensity to patient- and tumour characteristics. High and low SUVmax subgroups related to the mean value were made. Significance of lesion- and patient characteristics with the high and low SUVmax subgroups, as well as TLR and TBR, was evaluated with Fisher's exact test or Mann-Whitney-U test. Results: In total 14 patients were included (mean age 62.4 years, 64% male). Final diagnosis was pCCA in 10 patients (71.4%), follicular lymphoma in one patient (7.1%) and benign disease in the remaining three patients. FDG-PET/MRI added valuable diagnostic information in six (43%) patients and affected clinical decision making in two of these patients (14%) by increasing confidence for malignancy which lead to the decision for surgery on short term. High SUVmax values were seen in half of cases with pCCA and half of cases with non-cancerous lesions. In addition, high SUVmax values were directly associated with primary sclerosing cholangitis when present (p = 0.03). Conclusion: Simultaneous 18 F-FDG-PET/MRI added diagnostic information in six of fourteen patients and influenced clinical decision making in two patients (14%) with presumed resectable pCCA.

Can volumetric magnetic resonance imaging evaluations be helpful in the follow-up of cognitive functions in cognitively normal Parkinson's disease patients?

Background/aim: In this study, besides the evaluation of gray and white matter changes in cognitively normal Parkinson's disease (PD-CN) patients with volumetric magnetic resonance imaging (MRI) parameters, it was tried to show that some neuropsychological tests may be impaired in PD-CN patients. Materials and methods: Twenty-six PD-CN patients and 26 healthy elderly (HC) participants were included in the current study. Global cognitive status was assessed using the mini-mental state examination (MMSE), and the Montreal cognitive assessment scale (MoCA). Attention and executive functions were evaluated using the Wechsler memory scale-revised (WMS-R) digit span test and trail making test (TMT) part A and part B, the Stroop test, semantic and phonemic fluency tests, and clock drawing test. Magnetic resonance imaging (MRI) was acquired according to the Alzheimer's disease neuroimaging initiative (ADNI) protocol. Results: There were no significant differences among groups regarding age, sex, handedness, and years of education. In the comparison of the PD-CN group and the HC group, there was a statistical decrease in the total animal scores, lexical fluency, TMT part A and TMT part B scores in the PD-CN group. Subcortical gray matter volumes (GMV) were significantly lower in PD-CN patients. The PD-CN group had a significantly reduced total volume of right putamen and left angular gyrus compared to that in the HC group. We observed that putamen and angular gyrus volumes were lower in PD-CN patients. On the other hand, TMT part B may be a useful pretest in detecting the conversion of mild cognitive impairment in PD. Conclusion: Significant MRI volumetric measurements and neuropsychological test batteries can be helpful in the clinical follow-up in PD-CN patients.

Thalamic-limbic circuit dysfunction and white matter topological alteration in Parkinson's disease are correlated with gait disturbance.

Background: Limbic structures have recently garnered increased attention in Parkinson's disease (PD) research. This study aims to explore changes at the whole-brain level in the structural network, specifically the white matter fibres connecting the thalamus and limbic system, and their correlation with the clinical characteristics of patients with PD. Methods: Between December 2020 and November 2021, we prospectively enrolled 42 patients with PD and healthy controls at the movement disorder centre. All participants underwent diffusion tensor imaging (DTI), 3D T1-weighted imaging (3D-T1WI), and routine brain magnetic resonance imaging on a 3.0 T MR scanner. We employed the tract-based spatial statistical (TBSS) analytic approach, examined structural network properties, and conducted probabilistic fibre tractography to identify alterations in white matter pathways and the topological organisation associated with PD. Results: In patients with PD, significant changes were observed in the fibrous tracts of the prefrontal lobe, corpus callosum, and thalamus. Notably, the fibrous tracts in the prefrontal lobe and corpus callosum showed a moderate negative correlation with the Freezing of Gait Questionnaire (FOG-Q) scores (r = -0.423, p = 0.011). The hippocampus and orbitofrontal gyrus exhibited more fibre bundle parameter changes than other limbic structures. The mean streamline length between the thalamus and the orbitofrontal gyrus demonstrated a moderate negative correlation with Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) III (r = -0.435, p = 0.006). Topological parameters, including characteristic path length (L p), global efficiency (E g), normalised shortest path length (λ) and nodal local efficiency (N le), correlated moderately with the MDS-UPDRS, HAMA, MoCA, PDQ-39, and FOG-Q, respectively. Conclusion: DTI is a valuable tool for detecting changes in water molecule dispersion and the topological structure of the brain in patients with PD. The thalamus may play a significant role in the gait abnormalities observed in PD.

Comparison of the Image Quality of Turbo Spin Echo and Echo-Planar Diffusion-Weighted Imaging of the Head and Neck Region.

BACKGROUND: Magnetic resonance imaging (MRI) of the head and neck region is notably challenging due to the complex anatomy and the critical need for high-resolution imaging to accurately diagnose various pathologies. The two prominent MRI techniques used in this context are turbo spin echo (TSE) and echo-planar diffusion-weighted imaging (EP-DWI). TSE is recognized for providing high-resolution anatomical images, whereas EP-DWI offers functional imaging that highlights the diffusion of water molecules, essential for detecting early pathological changes. This study aims to compare the image quality of TSE and EP-DWI in the head and neck region to assess their diagnostic efficacy and clinical utility. METHODS: This retrospective study was conducted at Saveetha Medical College and Hospital over six months. A total of 100 patients (50 males and 50 females, aged 18-65 years) with various head and neck pathologies were included. Patients underwent both TSE and EP-DWI sequences using a Philips MULTIVA 1.5 T scanner. Image quality was assessed based on signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), artifact presence, and lesion detection. Two experienced radiologists independently reviewed the images, with inter-observer agreement calculated using Cohen's kappa coefficient. RESULTS: The mean SNR for TSE was significantly higher than EP-DWI (45.2 vs. 28.7, p<0.01), indicating superior image clarity and detail in TSE images. TSE demonstrated a higher mean CNR compared to EP-DWI (25.4 vs. 15.8, p<0.01), suggesting better differentiation between different tissue types and pathologies. Artifacts were more frequent in EP-DWI images (45% vs. 15%), with motion artifacts being the most common. TSE detected more lesions (120 vs. 95), with more precise delineation of lesions. The inter-observer agreement was excellent for both TSE and EP-DWI, with kappa values of 0.85 and 0.80, respectively. CONCLUSION: TSE MRI provides superior image quality compared to EP-DWI for evaluating the head and neck region. The enhanced SNR and CNR in TSE images result in clearer and more detailed visualizations of anatomical structures and pathological changes, with fewer artifacts. While EP-DWI is valuable for functional imaging, its role should be complementary to TSE. The study suggests that TSE should be the preferred modality for detailed anatomical assessment in the head and neck region. Further studies with larger sample sizes and advanced imaging techniques may provide additional insights into optimizing MRI protocols for head and neck imaging.

Eight brain structures mediate the age-related alterations of the working memory: forward and backward digit span tasks.

Introduction: Working memory (WM) as one of the executive functions is an essential neurocognitive ability for daily life. Findings have suggested that aging is often associated with working memory and neural decline, but the brain structures and resting-state brain networks that mediate age-related differences in WM remain unclear. Methods: A sample consisting of 252 healthy participants in the age range of 20 to 70years was used. Several cognitive tasks, including the n-back task and the forward and backward digit span tests were used. Also, resting-state functional imaging, as well as structural imaging using a 3T MRI scanner, were performed, resulting in 85 gray matter volumes and five resting-state networks, namely the anterior and posterior default mode, the right and left executive control, and the salience networks. Also, mediation analyses were used to investigate the role of gray matter volumes and resting-state networks in the relationship between age and WM. Results: Behaviorally, aging was associated with decreased performance in the digit span task. Also, aging was associated with a decreased gray matter volume in 80 brain regions, and with a decreased activity in the anterior default mode network, executive control, and salience networks. Importantly, the path analysis showed that the GMV of the medial orbitofrontal, precentral, parieto-occipital, amygdala, middle occipital, posterior cingulate, and thalamus areas mediated the age-related differences in the forward digit span task, and the GMV of superior temporal gyrus mediated the age-related differences in the backward digit span task. Discussion: This study identified the brain structures mediating the relationship between age and working memory, and we hope that our research provides an opportunity for early detection of individuals at risk of age-related memory decline.

The role of multimodality imaging in diffuse pelvicoabdominal plexiform neurofibroma: A rare case report.

Pelvicoabdominal plexiform neurofibroma is a rare and complicated form of type 1 neurofibromatosis (NF1), distinguished by developing benign nerve sheath tumors in the pelvis and abdomen. A male patient, aged 26, came to our center with dysuria, abdominal bloating, rectal mucosa prolapses, and trouble walking and moving legs. Physical examination revealed a palpable mass of solid consistency fixed in the pelvic cavity to the abdominal cavity. A large and extensive mass in the pelvic to the abdominal region can be evaluated with multimodality radiological imaging, including ultrasound, computed tomography, and magnetic resonance imaging. Imaging is crucial for diagnosis, evaluation of extension, and early detection of potential malignant transformation in these patients. The patient was scheduled for palliative surgical resection due to the extensive mass; however, he did not survive while waiting for the operation. Pathology examination and immunohistochemical staining revealed positive S-100 protein, indicating the neural crest originate lesion. We report the clinical and radiological features of plexiform neurofibroma in a young male patient, confirmed by pathology examination.

MRI changes in cryptococcal meningoencephalitis exacerbated by antifungal treatment due to post-infectious inflammatory syndrome: A case report.

Cryptococcal meningitis is one of the most common fungal meningitis in adults and causes disabling morbidity and mortality worldwide. The occurrence of postinfectious inflammatory response syndrome during cryptococcal meningitis treatment presents a diagnostic challenge. This time course seems paradoxical because patients show worsening symptoms and imaging findings. However, laboratory data improve with antifungal treatments. Herein, we present a case of an older woman diagnosed with cryptococcal meningitis who later developed postinfectious inflammatory response syndrome. Despite the initial antifungal treatment and improvements in cerebrospinal fluid analysis results, the patient's neurological condition deteriorated; imaging findings worsened. Magnetic resonance imaging at the time of postinfectious inflammatory response syndrome showed more prominent meningeal enhancement and brain edema, consistent with postinfectious inflammatory response syndrome, combined with negative repeat cerebrospinal fluid cultures for cryptococcal species. This case highlights the importance of considering postinfectious inflammatory response syndrome when patients with cryptococcal meningitis show clinical worsening during treatment. Prompt corticosteroid therapy significantly improves patient outcomes. Radiologists and clinicians should be aware of postinfectious inflammatory response syndrome to provide appropriate therapeutic options and improve prognosis in patients with cryptococcal meningitis.

Zinner syndrome: A rare congenital cause of infertility.

Zinner syndrome is a rare congenital malformation characterized by cystic seminal vesicles and ejaculatory duct obstruction in association with ipsilateral renal agenesis. It appears to be frequently linked to infertility. However, recent advances in imaging, notably MRI, have led to an increase in the diagnosis of this pathology. We describe the case of a 39-year-old patient receiving examination for primary infertility who was identified with Zinner syndrome using ultrasound, CT, and MRI; the patient did not report hemospermia, lower urinary tract symptoms, or perineal pain. Examining the abdomen and external genitalia revealed no abnormalities, and examining the rectal area revealed none at all. Zinner syndrome is a rare congenital condition; we report this case to highlight the etiopathogenesis of this seminal anomaly, its relationship with renal dysgenesis, and to illustrate the imaging of this condition through various diagnostic methods.

A synthetic lung model (ASYLUM) for validation of functional lung imaging methods shows significant differences between signal-based and deformation-field-based ventilation measurements.

Introduction: Validation of functional free-breathing MRI involves a comparison to more established or more direct measurements. This procedure is cost-intensive, as it requires access to patient cohorts, lengthy protocols, expenses for consumables, and binds working time. Therefore, the purpose of this study is to introduce a synthetic lung model (ASYLUM), which mimics dynamic MRI acquisition and includes predefined lung abnormalities for an alternative validation approach. The model is evaluated with different registration and quantification methods and compared with real data. Methods: A combination of trigonometric functions, deformation fields, and signal combinations were used to create 20 synthetic image time series. Lung voxels were assigned either to normal or one of six abnormality classes. The images were registered with three registration algorithms. The registered images were further analyzed with three quantification methods: deformation-based or signal-based regional ventilation (JVent/RVent) analysis and perfusion amplitude (QA). The registration results were compared with predefined deformations. Quantification methods were evaluated regarding predefined amplitudes and with respect to sensitivity, specificity, and spatial overlap of defects. In addition, 36 patients with chronic obstructive pulmonary disease were included for verification of model interpretations using CT as the gold standard. Results: One registration method showed considerably lower quality results (76% correlation vs. 92/97%, p ≤ 0.0001). Most ventilation defects were correctly detected with RVent and QA (e.g., one registration variant with sensitivity ≥78%, specificity ≥88). Contrary to this, JVent showed very low sensitivity for lower lung quadrants (0-16%) and also very low specificity (1-29%) for upper lung quadrants. Similar patterns of defect detection differences between RVent and JVent were also observable in patient data: Firstly, RVent was more aligned with CT than JVent for all quadrants (p ≤ 0.01) except for one registration variant in the lower left region. Secondly, stronger differences in overlap were observed for the upper quadrants, suggesting a defect bias in the JVent measurements in the upper lung regions. Conclusion: The feasibility of a validation framework for free-breathing functional lung imaging using synthetic time series was demonstrated. Evaluating different ventilation measurements, important differences were detected in synthetic and real data, with signal-based regional ventilation assessment being a more reliable method in the investigated setting.

Secondary parkinsonism associated with focal brain lesions.

Focal imaging abnormalities in patients with parkinsonism suggest secondary etiology and require a distinctive clinical approach to diagnosis and treatment. We review different entities presenting as secondary parkinsonism associated with structural brain lesions, with emphasis on the clinical course and neuroimaging findings. Secondary parkinsonism may be due to vascular causes, hydrocephalus, space-occupying lesions, metabolic causes (including acquired hepatocerebral degeneration, diabetic uremic encephalopathy, basal ganglia calcifications, osmotic demyelination syndrome), hypoxic-ischaemic brain injury, intoxications (including methanol, carbon monoxide, cyanide, carbon disulfide, manganese poisoning and illicit drugs), infections and immune causes. The onset can vary from acute to chronic. Both uni-and bilateral presentations are possible. Rigidity, bradykinesia and gait abnormalities are more common than rest tremor. Coexisting other movement disorders and additional associated neurological signs may point to the underlying diagnosis. Neuroimaging studies are an essential part in the diagnostic work-up of secondary parkinsonism and may point directly to the underlying etiology. We focus primarily on magnetic resonance imaging to illustrate how structural imaging combined with neurological assessment can lead to diagnosis. It is crucial that typical imaging abnormalities are recognized within the relevant clinical context. Many forms of secondary parkinsonism are reversible with elimination of the specific cause, while some may benefit from symptomatic treatment. This heterogeneous group of acquired disorders has also helped shape our knowledge of Parkinson's disease and basal ganglia pathophysiology, while more recent findings in the field garner support for the network perspective on brain function and neurological disorders.

Structural brain correlates of sustained attention in healthy ageing: Cross-sectional findings from the LEISURE study.

Sustained attention is important for maintaining cognitive function and autonomy during ageing, yet older people often show reductions in this domain. The role of the underlying neurobiology is not yet well understood, with most neuroimaging studies primarily focused on fMRI. Here, we utilise sMRI to investigate the relationships between age, structural brain volumes and sustained attention performance. Eighty-nine healthy older adults (50-84 years, Mage 65.5 (SD=8.4) years, 74 f) underwent MRI brain scanning and completed two sustained attention tasks: a rapid visual information processing (RVP) task and sustained attention to response task (SART). Independent hierarchical linear regressions demonstrated that greater volumes of white matter hyperintensities (WMH) were associated with worse RVP_A' performance, whereas greater grey matter volumes were associated with better RVP_A' performance. Further, greater cerebral white matter volumes were associated with better SART_d' performance. Importantly, mediation analyses revealed that both grey and white matter volumes completely mediated the relationship between ageing and sustained attention. These results explain disparate attentional findings in older adults, highlighting the intervening role of brain structure.

Two sides of the same coin? What neural processing of emotion and rewards can tell us about complex post-traumatic stress disorder and borderline personality disorder.

BACKGROUND: Borderline personality disorder (BPD) and complex posttraumatic stress disorder (cPTSD) share clinical similarities, complicating diagnosis and treatment. Research on the neurobiology of BPD and monotraumatic PTSD has shown that a prefrontal-limbic imbalance in emotional and reward processing is a hallmark of both disorders, but studies examining this network in cPTSD are lacking. Therefore, this study aimed to directly compare neural processing of emotion and reward during decision making in cPTSD and BPD. METHODS: Using functional magnetic resonance imaging, we measured neural activity in female patients (27 patients with cPTSD, 21 patients with BPD and 37 healthy controls) during a Desire-Reason Dilemma task featuring distracting fearful facial expressions. RESULTS: We found no differences in neural activation when comparing cPTSD and BPD. However, when grouping patients based on symptom severity instead on diagnosis, we found that increased symptoms of cPTSD were associated with increased activation of dorsolateral prefrontal cortex during reward rejection, whereas increased symptoms of BPD were associated with decreased activation in prefrontal and limbic regions during reward rejection with distracting negative emotional stimuli. CONCLUSION: This is the first study to investigate and compare emotional processing and reward-based decision making in cPTSD and BPD. Although we found no neural differences between disorders, we identified symptom-related neural patterns. Specifically, we found that elevated cPTSD symptoms were related to greater sensitivity to reward stimuli, whereas heightened BPD symptoms were related to increased susceptibility to emotional stimuli during goal-directed decision making. These findings enhance our understanding of neural pathomechanisms in trauma-related disorders.

Optimising prostate biopsies and imaging for the future-a review.

Conventionally, transrectal ultrasound guided prostate biopsy (TRUS-Bx) was the main technique used for the diagnosis of prostate cancer since it was first described in 1989 [1]. However, the PROMIS trial showed that this random, nontargeted approach could miss up to 18% of clinically significant cancer (csPCa) [2]. Furthermore, risk of sepsis post TRUS-Bx can be as high as 2.4% [3]. Understanding the demerits of TR-biopsy have led to the introduction of transperineal prostate biopsy (TP-Bx). The incorporation of mpMRI revolutionized prostate cancer diagnostics, allowing visualization of areas likely to harbor csPCa whilst permitting some men to avoid an immediate biopsy. Furthermore, the advent of prostate specific membrane antigen-positron emission tomography (PSMA-PET) is highly promising, because of its role in primary diagnosis of prostate cancer and its higher diagnostic accuracy over conventional imaging in detecting nodal and metastatic lesions. Our narrative review provides an overview on prostate biopsy techniques and an update on prostate imaging, with particular focus on PSMA-PET.

AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images.

OBJECTIVES: The assessment of lumbar central canal stenosis (LCCS) is crucial for diagnosing and planning treatment for patients with low back pain and neurogenic pain. However, manual assessment methods are time-consuming, variable, and require axial MRIs. The aim of this study is to develop and validate an AI-based model that automatically classifies LCCS using sagittal T2-weighted MRIs. METHODS: A pre-existing 3D AI algorithm was utilized to segment the spinal canal and intervertebral discs (IVDs), enabling quantitative measurements at each IVD level. Four musculoskeletal radiologists graded 683 IVD levels from 186 LCCS patients using the 4-class Lee grading system. A second consensus reading was conducted by readers 1 and 2, which, along with automatic measurements, formed the training dataset for a multiclass (grade 0-3) and binary (grade 0-1 vs. 2-3) random forest classifier with tenfold cross-validation. RESULTS: The multiclass model achieved a Cohen's weighted kappa of 0.86 (95% CI: 0.82-0.90), comparable to readers 3 and 4 with 0.85 (95% CI: 0.80-0.89) and 0.73 (95% CI: 0.68-0.79) respectively. The binary model demonstrated an AUC of 0.98 (95% CI: 0.97-0.99), sensitivity of 93% (95% CI: 91-96%), and specificity of 91% (95% CI: 87-95%). In comparison, readers 3 and 4 achieved a specificity of 98 and 99% and sensitivity of 74 and 54%, respectively. CONCLUSION: Both the multiclass and binary models, while only using sagittal MR images, perform on par with experienced radiologists who also had access to axial sequences. This underscores the potential of this novel algorithm in enhancing diagnostic accuracy and efficiency in medical imaging. KEY POINTS: Question How can the classification of lumbar central canal stenosis (LCCS) be made more efficient? Findings Multiclass and binary AI models, using only sagittal MR images, performed on par with experienced radiologists who also had access to axial sequences. Clinical relevance Our AI algorithm accurately classifies LCCS from sagittal MRI, matching experienced radiologists. This study offers a promising tool for automated LCCS assessment from sagittal T2 MRI, potentially reducing the reliance on additional axial imaging.

Correlation between clinical and MRI findings in disc herniation in the lumbosacral region.

AIM OF THE STUDY: To compare clinical findings with MRI findings and evaluate the role of physical examination in the diagnosis, localization of the level, site, size, and type of lumbosacral disc herniation. MATERIALS AND METHODS: A prospective study of 104 patients with low back pain and/or sciatica was conducted et al.-Kindy Teaching Hospital between January to December 2022. All Participants were evaluated via history, clinical examination, and MRI. One hundred patients had a disc herniation in the lumbosacral region, which was confirmed by MRI assessment after clinical presentation and physical examination. The data were collected and analyzed by the chi-square test. RESULTS: Most of the patients (84%) experienced pain in the lower back that radiated to the lower limb or limbs, and nearly half of the patients experienced paresthesia (48%). Sixty-six percent of the patients had a scoliotic list; limitation of lumbar spine movements was common in 96%, and a decrease in the straight leg raising test (SLR) was detected in 98%. Cross SLR "Well test" was positive in 64% of patients. The femoral nerve stretch test was positive in 40% of patients. Sixty-four percent were presented with neurological deficits, 42% with affected L5 nerve roots, 22% with affected S1 nerve roots, and no patients with L4 affected. Twenty-two percent showed a positive SLR test with an angle between 41 and 70°. CONCLUSION: Proper correlation between clinical and MRI will help determine the lesion's level, horizontal location, herniation type, and herniated disc size in the lumbosacral region and achieve a more accurate diagnosis.

Cerebral small vessel disease markers and long-term prognosis in spontaneous intracerebral hemorrhage: the HAGAKURE-ICH study.

We investigated the effects of individual and cumulative cerebral small vessel disease (SVD) markers on long-term clinical outcomes in spontaneous intracerebral hemorrhage (sICH) patients. This prospective, single-center cohort study was conducted from 2012 to 2019. SVD markers, including lacunae, cerebral microbleeds, white matter hyperintensity (WMH), and perivascular spaces in the basal ganglia, were assessed to calculate a summary SVD score. Patients were categorized into severe (score ≥3) and non-severe (score 0-2) SVD burden groups. Functional prognosis was defined as recovery, no change, or decline based on modified Rankin Scale changes at 2 years after discharge, excluding death. Associations of SVD burden and individual SVD markers with outcomes were evaluated using Cox proportional hazards modeling for recurrent stroke and all-cause mortality, and using ordinal logistic regression for functional prognosis. Among 155 sICH patients who underwent MRI, 98 showed severe SVD burden. Recurrent stroke and all-cause mortality rates were 2.2 and 8.3 per 100 patient-years, respectively, over a median 2.1-year follow-up. In terms of functional prognosis, 57 patients (51.8%) recovered, 32 (29.1%) showed no change, and 21 (19.1%) declined. A significant association was apparent between severe SVD burden and poorer functional prognosis (odds ratio [OR] 2.48, 95% confidence interval [CI] 1.04-6.04; p = 0.042), particularly with moderate-to-severe WMH (OR 2.54, 95%CI 1.02-6.54; p = 0.048). The cumulative effects of SVD markers inhibited long-term functional recovery in sICH patients. Severe SVD burden, as well as moderate-to-severe WMH, can be indicators of long-term prognosis after sICH.

Preliminary results on temporal evolution and clinical implications of atherosclerotic plaque in branch atheromatous disease after statin treatment.

Background: Branch atheromatous disease (BAD) is a primary cause of early neurological deterioration (END) in penetrating artery occlusion, leading to poor functional outcomes. While it has been proposed to classify BAD under large artery atherosclerosis, uncertainty exists regarding the optimal treatment strategy, including cholesterol-lowering targets. Objectives: We aimed to assess the clinical implications and temporal changes of atherosclerotic plaques before and after high-intensity statin treatment. Design: This is a high-resolution vessel-wall imaging sub-analysis of the trial of Statin and Dual Antiplatelet Therapy in Preventing Early Neurological Deterioration in Branch Atheromatous Disease (SATBRAD). Methods: In this prospective, single-group cohort study, participants in the treatment arm of the SATBRAD trial received early dual antiplatelet therapy and high-intensity statin treatment. The majority of these participants subsequently underwent high-resolution vessel-wall magnetic resonance imaging (MRI). Those with atheromatous plaques in the parent artery continued high-intensity statin treatment for 6 months, followed by a repeat MRI to monitor plaque changes. Results: There were 57 patients who underwent vessel-wall imaging and 24 exhibited contrast-enhanced plaques. Patients with contrast-enhanced plaques showed higher rates of END (29.2% vs 6.1%, p = 0.027), perfusion defects (62.5% vs 24.2%, p = 0.004), and lower rates of good outcomes at 3 months (50.0% vs 81.8%, p = 0.011). After adjusting for confounding factors, contrast-enhanced plaque had a negative impact on achieving a good outcome at 3 months (adjusted odds ratio = 0.04; 95% confidence interval = <0.01-0.60). Following high-intensity statin treatment in 36 patients, there was a notable reduction in stenosis (33.7% vs 29.3%, p = 0.005) and contrast-enhanced plaque volume (16.3 vs 11.6 mm3, p = 0.015). Conclusion: The study highlighted the association between contrast-enhanced atherosclerotic plaques, END, and poor functional outcomes, with high-intensity treatment leading to plaque volume reduction. These results underscore the shared pathology between BAD and intracranial atherosclerosis, emphasizing the necessity for further research and tailored treatment strategies for BAD. Trial registration: ClinicalTrials.gov; Identifier: NCT04824911 (https://clinicaltrials.gov/study/NCT04824911).

Changes in atherosclerosis and its impact on health after statin treatment: what we learned from detailed vessel imaging in the SATBRAD trial Branch atheromatous disease (BAD) is a major cause of early worsening of stroke symptoms, leading to poor recovery. While some experts believe BAD should be treated like large artery disease, the best treatment approach, including cholesterol-lowering targets, remains unclear. This study aimed to assess how high-intensity statin treatment affects atherosclerotic plaques over time and its impact on patient health. Analyzing detailed vessel images from the SATBRAD trial, where patients received high-intensity statins and magnetic resonance imaging, revealed that 24 out of 57 patients had plaques that showed up clearly with contrast enhancement. These patients were more likely to experience early worsening of stroke symptoms and perfusion compromise and had poorer outcomes. After six months of high-intensity statin treatment, there was a significant reduction in plaque size and vessel narrowing. The study concluded that contrast-enhanced plaques are linked to worse early stroke symptoms and poor recovery, but high-intensity statin treatment can reduce plaque size, suggesting that BAD may share similarities with larger artery disease and highlighting the need for further research and tailored treatments for BAD.

A Case Report and Review of Literature on Hirayama Disease.

Hirayama disease (HD) is a rare, benign, self-limiting condition that typically affects individuals in their 20s. Although the disease is self-limiting, it can result in functional impairment in those affected. The most common presentation is an asymmetrical, unilateral, or bilateral upper limb weakness with wasting. With an interesting pathogenesis and lack of definitive treatment, HD is an interesting neurological conundrum. Mild symptoms in patients often lead to underreporting of the disease, as individuals may not seek medical attention or may not recognize their symptoms. Most case reports in the literature are from Asia and the Middle East. We report a case of HD in a male patient in his 20s with gradual bilateral upper limb weakness and wasting, confirmed by imaging and nerve conduction studies.

Imaging for the diagnosis of acute myocarditis: can artificial intelligence improve diagnostic performance?

Myocarditis is a cardiovascular disease characterised by inflammation of the heart muscle which can lead to heart failure. There is heterogeneity in the mode of presentation, underlying aetiologies, and clinical outcome with impact on a wide range of age groups which lead to diagnostic challenges. Cardiovascular magnetic resonance (CMR) is the preferred imaging modality in the diagnostic work-up of those with acute myocarditis. There is a need for systematic analytical approaches to improve diagnosis. Artificial intelligence (AI) and machine learning (ML) are increasingly used in CMR and has been shown to match human diagnostic performance in multiple disease categories. In this review article, we will describe the role of CMR in the diagnosis of acute myocarditis followed by a literature review on the applications of AI and ML to diagnose acute myocarditis. Only a few papers were identified with limitations in cases and control size and a lack of detail regarding cohort characteristics in addition to the absence of relevant cardiovascular disease controls. Furthermore, often CMR datasets did not include contemporary tissue characterisation parameters such as T1 and T2 mapping techniques, which are central to the diagnosis of acute myocarditis. Future work may include the use of explainability tools to enhance our confidence and understanding of the machine learning models with large, better characterised cohorts and clinical context improving the diagnosis of acute myocarditis.