Analysis of progression of number and structure of scans performed using PET, PET/ CT and PET/ MRI in the Czech Republic in 2013- 2021.

BACKGROUND: Positron emission tomography (PET) is a state-of-the-art diagnostic method of nuclear medicine, used for diagnostics of many pathological states in the organism, first and foremost in oncological issues. The first analysis of utilization and potential utilization of PET in the Czech Republic was published in 2013. In the following years, there was a sharp increase in a number of PET/CT and PET/MRI scanners in the country; in 2013-2021, it doubled. Simultaneously with the increase in scans performed, the range of available radiopharmaceuticals also broadened. MATERIAL AND METHODS: The study analyses the numbers and structure of PET, PET/CT and PET/MRI scans in the 2013-2021 period, using the pseudonymized data acquired from the General Health Insurance Company of the Czech Republic. The data was evaluated through a series of qualitative and quantitative indicators (number of scans performed, structure of diagnoses, use of different tracers, and availability of a scan for a patient). RESULTS: In the observed interval of time, the number of scans performed practically doubled, both thanks to more scanners installed and more radiopharmaceuticals available. The percentage of oncological and non-oncological scans remains more or less the same. Nevertheless, the regional differences in a number of scans performed persist, as does the availability of the scan for patients. CONCLUSION: PET is still a dynamically developing molecular imaging method in the Czech Republic. The analysis of a number and structure of scans performed offers a priceless overview of the development of the method over the years, in regard to diagnoses, utilization of individual radiopharmaceuticals or geographic distribution of scans performed. The observed findings are a motivation for further analyses.

Performance of the MRI lesion pattern score in predicting neurological outcome after out of hospital cardiac arrest: a retrospective cohort analysis.

BACKGROUND: Despite advances in resuscitation practice, patient survival following cardiac arrest remains poor. The utilization of MRI in neurological outcome prognostication post-cardiac arrest is growing and various classifications has been proposed; however a consensus has yet to be established. MRI, though valuable, is resource-intensive, time-consuming, costly, and not universally available. This study aims to validate a MRI lesion pattern score in a cohort of out of hospital cardiac arrest patients at a tertiary referral hospital in Switzerland. METHODS: This cohort study spanned twelve months from February 2021 to January 2022, encompassing all unconscious patients aged ≥ 18 years who experienced out-of-hospital cardiac arrest of any cause and were admitted to the intensive care unit (ICU) at Inselspital, University Hospital Bern, Switzerland. We included patients who underwent the neuroprognostication process, assessing the performance and validation of a MRI scoring system. RESULTS: Over the twelve-month period, 137 patients were admitted to the ICU, with 52 entering the neuroprognostication process and 47 undergoing MRI analysis. Among the 35 MRIs indicating severe hypoxic brain injury, 33 patients (94%) experienced an unfavourable outcome (UO), while ten (83%) of the twelve patients with no or minimal MRI lesions had a favourable outcome. This yielded a sensitivity of 0.94 and specificity of 0.83 for predicting UO with the proposed MRI scoring system. The positive and negative likelihood ratios were 5.53 and 0.07, respectively, resulting in an accuracy of 91.49%. CONCLUSION: We demonstrated the effectiveness of the MLP scoring scheme in predicting neurological outcome in patients following cardiac arrest. However, to ensure a comprehensive neuroprognostication, MRI results need to be combined with other assessments. While neuroimaging is a promising objective tool for neuroprognostication, given the absence of sedation-related confounders-compared to electroencephalogram (EEG) and clinical examination-the current lack of a validated scoring system necessitates further studies. Incorporating standardized MRI techniques and grading systems is crucial for advancing the reliability of neuroimaging for neuroprognostication. TRIAL REGISTRATION: Registry of all Projects in Switzerland (RAPS) 2020-01761.

Bibliometric analysis of functional magnetic resonance imaging studies on chronic pain over the past 20 years.

PURPOSE: The utilization of functional magnetic resonance imaging (fMRI) in studying the mechanisms and treatment of chronic pain has gained significant popularity. However, there is currently a dearth of literature conducting bibliometric analysis on fMRI studies focused on chronic pain. METHODS: All the literature included in this study was obtained from the Science Citation Index Expanded of Web of Science Core Collection. We used CiteSpace and VOSviewer to analyze publications, authors, countries or regions, institutions, journals, references and keywords. Additionally, we evaluated the timeline and burst analysis of keywords, as well as the timeline and burst analysis of references. The search was conducted from 2004 to 2023 and completed within a single day on October 4th, 2023. RESULTS: A total of 1,327 articles were retrieved. The annual publication shows an overall increasing trend. The United States has the highest number of publications and the main contributing institution is Harvard University. The journal PAIN produces the most articles. In recent years, resting-state fMRI, the prefrontal cortex, nucleus accumbens, thalamus, and migraines have been researched hotspots of fMRI studies on chronic pain. CONCLUSIONS: This study provides an in-depth perspective on fMRI for chronic pain research, revealing key points, research hotspots and research trends, which offers valuable ideas for future research activities. It concludes with a summary of advances in clinical practice in this area, pointing out the need for critical evaluation of these findings in the light of guidelines and expert recommendations. It is anticipated that further high-quality research outputs will be generated in the future, which will facilitate the utilization of fMRI in clinical decision-making for chronic pain.

Controlling false discovery rate for mediator selection in high-dimensional data.

The need to select mediators from a high dimensional data source, such as neuroimaging data and genetic data, arises in much scientific research. In this work, we formulate a multiple-hypothesis testing framework for mediator selection from a high-dimensional candidate set, and propose a method, which extends the recent development in false discovery rate (FDR)-controlled variable selection with knockoff to select mediators with FDR control. We show that the proposed method and algorithm achieved finite sample FDR control. We present extensive simulation results to demonstrate the power and finite sample performance compared with the existing method. Lastly, we demonstrate the method for analyzing the Adolescent Brain Cognitive Development (ABCD) study, in which the proposed method selects several resting-state functional magnetic resonance imaging connectivity markers as mediators for the relationship between adverse childhood events and the crystallized composite score in the NIH toolbox.

A Bayesian convolutional neural network-based generalized linear model.

Convolutional neural networks (CNNs) provide flexible function approximations for a wide variety of applications when the input variables are in the form of images or spatial data. Although CNNs often outperform traditional statistical models in prediction accuracy, statistical inference, such as estimating the effects of covariates and quantifying the prediction uncertainty, is not trivial due to the highly complicated model structure and overparameterization. To address this challenge, we propose a new Bayesian approach by embedding CNNs within the generalized linear models (GLMs) framework. We use extracted nodes from the last hidden layer of CNN with Monte Carlo (MC) dropout as informative covariates in GLM. This improves accuracy in prediction and regression coefficient inference, allowing for the interpretation of coefficients and uncertainty quantification. By fitting ensemble GLMs across multiple realizations from MC dropout, we can account for uncertainties in extracting the features. We apply our methods to biological and epidemiological problems, which have both high-dimensional correlated inputs and vector covariates. Specifically, we consider malaria incidence data, brain tumor image data, and fMRI data. By extracting information from correlated inputs, the proposed method can provide an interpretable Bayesian analysis. The algorithm can be broadly applicable to image regressions or correlated data analysis by enabling accurate Bayesian inference quickly.

MRI use leading up to total knee arthroplasty: a retrospective cohort study.

BACKGROUND: Demand for total knee arthroplasty (TKA) is increasing as it remains the gold-standard treatment for end-stage osteoarthritis (OA) of the knee. Magnetic resonance imaging (MRI) scans of the knee are not indicated for diagnosing knee OA and represent a possible delay to orthopaedic surgeon referral and unnecessary expenditure. The purpose of this study was to determine the proportion of patients who underwent an MRI in the two years prior to their primary TKA for OA and determine patient and physician associations with increased MRI usage. METHODS: This is a population-based cohort study using administrative data from Ontario, Canada. All patients over 40 years old who underwent their first primary TKA between April 1, 2008, and March 31, 2019, were included. Statistical analyses were performed using SAS and included the Cochran-Armitage test for trend of MRI prior to surgery. A predictive multivariable regression model was used to determine features correlated to receiving an MRI. RESULTS: There were 194,989 eligible first-time TKA recipients, of which 38,244 (19.6%) received an MRI in the two years prior to their surgery. The majority of these (69.6%) were ordered by primary care physicians. Patients who received an MRI were younger, had fewer comorbidities and were more affluent than patients who did not (p < 0.001). MRI use prior to TKA increased from 2008 to 2018 (p < 0.001). CONCLUSION: Despite MRIs rarely being indicated for the work-up of end-stage OA, nearly one in five patients have an MRI in the two years prior to their TKA. This may be increasing healthcare expenditure and surgical wait-times.

The Added Value of Prostate Magnetic Resonance Imaging to Patient Selection.

INTRODUCTION: There has been a rapid increase in the utilization of magnetic resonance imaging (MRI) for prostate cancer detection. The objective of this study was to measure the increase in utilization of MRI before prostate biopsy and the effects on the distribution of Prostate Imaging Reporting and Data System (PI-RAD) scores and Gleason grades over a 5-year interval in an integrated health system. METHODS: The authors conducted a retrospective analysis of prostate MRI studies prior to biopsy in the calendar years of 2017 and 2022. Peak PI-RADS score, peak Gleason grade of suspected prostatic lesions, and the number of biopsy cores were collected from radiology reports and pathology reports from patients' electronic health records, respectively. All statistical tests were 2-tailed with a significance level set at p < 0.05. Categorical data analyses were performed using Mann-Whitney tests. Continuous data analyses were performed using t-tests. RESULTS: The total number of prostate MRIs and the number of MRIs with subsequent biopsy respectively increased by 178% and 215% over a 5-year interval (2017-2022). There was a higher proportion of MRI studies with an associated biopsy given a PI-RADS score of ≥ 3 (91%) and a Gleason grade of ≥ 7 (61%) in 2022 than in 2017 (PI-RADS: 75%; Gleason: 28%). CONCLUSIONS: Increased utilization of prostate MRI has been associated with a higher proportion of biopsies with high PI-RADS and Gleason scores consistent with improved patient selection in this integrated health system.

Breast Implant Imaging Surveillance Practice: Survey of Breast Imaging Radiologists in the Society of Breast Imaging.

OBJECTIVE: The objectives of this Society of Breast Imaging (SBI)-member survey study were to assess the current imaging patterns for evaluation of symptomatic and asymptomatic breast implant integrity, including modalities used and imaging intervals. METHODS: A 12-question survey assessing the frequency of imaging modalities used to evaluate implant integrity, approximate number of breast implant integrity studies requested per month, intervals of integrity studies, and referring provider and radiology practice characteristics was distributed to members of the SBI. RESULTS: The survey response rate was 7.6% (143/1890). Of responding radiologists, 54.2% (77/142) were in private, 29.6% (42/142) in academic, and 16.2% (23/142) in hybrid practice. Among respondents, the most common initial examination for evaluating implant integrity was MRI without contrast at 53.1% (76/143), followed by handheld US at 46.9% (67/143). Of respondents using US, 67.4% (91/135) also evaluated the breast tissue for abnormalities. Among respondents, 34.1% (46/135) reported being very confident or confident in US for diagnosing implant rupture. There was a range of reported intervals for performing implant integrity studies: 39.1% (43/110) every 2-3 years, 26.4% (29/110) every 4-5 years, 15.5% (17/110) every 6-10 years, and 19.1% (21/110) every 10 years. CONCLUSION: For assessment of implant integrity, the majority of respondents (53.2%, 76/143) reported MRI as initial imaging test. US is less costly, but the minority of respondents (34.1%, 46/135) had confidence in US performance. Also, the minority of respondents (39.1%, 43/110) performed implant integrity evaluations every 2-3 years per the FDA recommendations for asymptomatic surveillance.

Profiles, diagnostic process, and patterns of care of patients with stage III non-small cell lung cancer: A French national study.

BACKGROUND: The management of stage III non-small-cell lung cancer (NSCLC) remains heterogeneous and complex, even after the approval of immune checkpoint inhibitors post-chemoradiotherapy (CRT). This observational study from France evaluated real-world practices in managing stage III NSCLC. METHODS: Between 2020 and 2022, we conducted a physician practice survey in 41 medical centers across France, and retrospectively analyzed aggregated information from 417 consecutive charts of patients with stage III NSCLC. We collected information on diagnostic and staging procedures, biomarker testing, surgical and non-surgical treatments, and follow-up. RESULTS: According to the physician survey, diagnostic workup of stage III NSCLC primarily relied on positron emission tomography/computed tomography and brain magnetic resonance imaging, performed for the majority of patients in 100 % and 78 % of centers, respectively. Of 417 patient charts, 414 were evaluable with 53 % of patients having stage IIIA disease, 37 % IIIB, and 10 % IIIC. The most common node involvement was N2 (59 %). Programmed death-ligand 1 testing was conducted for 98 % of patients. Invasive staging (mediastinoscopy or endobronchial ultrasound) was performed in 41 % of patients, of whom 83 % had N2 or N3 nodal involvement. Surgical resection was offered to 120 patients (29 %), with 85 % achieving R0 resection. In 292 charts of patients with unresectable stage III NSCLC, 190 patients (65 %) were offered CRT followed by consolidation immunotherapy. Within these patients, concurrent CRT was more frequently employed (52 %) than sequential CRT (13 %). CONCLUSIONS: Diagnostic procedures and treatment modalities in French medical centers generally align with clinical guidelines for stage III NSCLC, except for invasive staging that was less commonly performed than expected.

A prospective review of Cauda Equina Syndrome referrals received by an on-call orthopaedic department at a major trauma unit.

INTRODUCTION: Cauda Equina Syndrome (CES) is one of the genuine orthopaedic emergencies. Diagnosis of acute CES is challenging and may be missed, resulting in considerable medicolegal claims. In Ireland, nearly €21 million in compensation has been paid out over a 10-year period due to the diagnosis being missed. As a result, defensive practices have resulted in an increased number of referrals for CES to the on-call orthopaedic service in a major trauma unit. METHODS: A prospective data-capturing exercise was carried out of all referrals for acute CES to the orthopaedic on-call department in a tertiary-level university-affiliated teaching hospital between August and November 2023. Qualitative data was captured including referral source, referring clinician grade, in-hours or out-of-hours referral, MRI on referral, red flags as identified by the referring team, red flags as identified by the orthopaedic team, and outcome. RESULTS: Forty referrals for CES were made over the duration of this audit. Seventeen (42.5%) referrals were made in-hours, and 23 (57.5%) were referred out-of-hours. Only five (12.5%) of these referrals had an MRI done at the time of the referral. No patients were transferred for an out-of-hours MRI to another hospital. Only five (12.5%) patients required surgical decompression-none of these patients required an out-of-hours emergent decompression. CONCLUSION: There is a lack of understanding as to what exactly is being referred-resulting in a referral volume which is over ten times the expected number of CES cases being made to our unit. The lack of out-of-hours MRI access poses a significant concern for patient outcomes.

Imaging Markers Derived From MRI-Based Automated Kidney Segmentation.

BACKGROUND: Population-wide research on potential new imaging biomarkers of the kidney depends on accurate automated segmentation of the kidney and its compartments (cortex, medulla, and sinus). METHODS: We developed a robust deep-learning framework for kidney (sub-)segmentation based on a hierarchical, three-dimensional convolutional neural network (CNN) that was optimized for multiscale problems of combined localization and segmentation. We applied the CNN to abdominal magnetic resonance images from the population-based German National Cohort (NAKO) study. RESULTS: There was good to excellent agreement between the model predictions and manual segmentations. The median values for the body-surface normalized total kidney, cortex, medulla, and sinus volumes of 9934 persons were 158, 115, 43, and 24 mL/m2. Distributions of these markers are provided both for the overall study population and for a subgroup of persons without kidney disease or any associated conditions. Multivariable adjusted regression analyses revealed that diabetes, male sex, and a higher estimated glomerular filtration rate (eGFR) are important predictors of higher total and cortical volumes. Each increase of eGFR by one unit (i.e., 1 mL/min per 1.73 m2 body surface area) was associated with a 0.98 mL/m2 increase in total kidney volume, and this association was significant. Volumes were lower in persons with eGFR-defined chronic kidney disease. CONCLUSION: The extraction of image-based biomarkers through CNN-based renal sub-segmentation using data from a population-based study yields reliable results, forming a solid foundation for future investigations.

Patterns and Predictors of Referral for Screening Breast MRI: A Mixed-Methods Study.

Introduction: Women with ≥20% lifetime breast cancer risk can receive supplemental breast cancer screening with MRI. We examined factors associated with recommendation for screening breast MRI among primary care providers (PCPs), gynecologists (GYNs), and radiologists. Methods: We conducted a sequential mixed-methods study. Quantitative: Participants (N = 72) reported recommendations for mammogram and breast MRI via clinical vignettes describing hypothetical patients with moderate, high, and very high breast cancer risk. Logistic regressions assessed the relationships of clinician-level factors (gender, specialty, years practicing) and practice-level factors (practice type, imaging facilities available) with screening recommendations. Qualitative: We interviewed a subset of survey participants (n = 17, 17/72 = 24%) regarding their decision-making about breast cancer screening recommendations. Interviews were audio-recorded, transcribed, and analyzed with directed content analysis. Results: Compared with PCPs, GYNs and radiologists were significantly more likely to recommend breast MRI for high-risk (ORs = 4.09 and 4.09, respectively) and very-high-risk patients (ORs = 8.56 and 18.33, respectively). Qualitative analysis identified two key phases along the clinical pathway for high-risk women. Phase 1 was "identifying high-risk women," which included three subthemes (systems for risk assessment, barriers to risk assessment, scope of practice issues). Phase 2 was "referral for screening," which included three subthemes (conflicting guidelines, scope of practice issues, legal implications). Frequency of themes differed between specialties, potentially explaining findings from the quantitative phase. Conclusions: There are significant differences between specialties in supplemental breast cancer screening recommendations. Multilevel interventions are needed to support identification and management of women with high breast cancer risk, particularly for PCPs.

Towards 24/7 MRI: the effect of routine weekend inpatient MRI scanning on patient waiting times.

BACKGROUND: Demand for inpatient MRI outstrips capacity which results in long waiting lists. The hospital commenced a routine weekend MRI service in January 2023. AIM: The aim of this study was to investigate the effect of a limited routine weekend MRI service on MRI turnaround times. METHODS: Waiting times for inpatient MRI scans performed before and after the introduction of weekend MRI from January 1 to August 31, 2022, and January 1 to August 31, 2023, were obtained. The turnaround time (TAT) and request category for each study were calculated. Category 1 requests were required immediately, category 2 requests were urgent and category 3 requests were routine. RESULTS: There was a 6% (n = 128) increase in MRI inpatient scanning activity in 2023 (n = 2449) compared to 2022 (n = 2322). There was a significant improvement in overall mean TAT for inpatient MRIs (p < .001) in 2023 (mean 65.2 h, range 0-555 h) compared to 2022 (mean 98.3 h, range 0-816 h). There was no significant difference in the mean waiting time for category 1 MRIs between 2022 and 2023. There was a significant improvement (p < .001) in mean waiting time in 2023 (mean 37.2 h, range 0-555) compared to 2022 (mean 55.4 h, range 0-816) for category 2 MRI. The mean waiting time for category 3 studies also significantly improved (p < .001) in 2023 (mean 93.4 h, range 1-2663) when compared to 2022 (mean 154.8, range 1-1706). CONCLUSION: Routine weekend inpatient MRI significantly shortens inpatient waiting times.

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

OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

A review of data in medical request and the patient questionnaire for magnetic resonance evaluation of silicone breast implants / Avaliação dos dados da requisição médica e do questionário prévio ao exame de ressonância magnética da mama em pacientes portadoras de implantes de silicone

ABSTRACT Objective: To analyze the quality and quantity of data in the questionnaires and in request forms for magnetic resonance imaging. Methods: This retrospective study was conducted with data from 300 medical records. The research used the following data from the questionnaires: patient age, reason for the magnetic resonance imaging, reason for placing the breast implant, report of any signs or symptoms, time elapsed since surgery to place the current breast implant, replacement implant surgery, chemotherapy, and/or radiation therapy treatments. From the magnetic resonance imaging request forms, information about the breast implant, the implant placement surgery, patient clinical information and ordering physician specialty were verified. Results: The mean age of patients was 48.8 years, and the mean time elapsed since breast implant surgery was 5 years. A total of 60% of women in the sample were submitted to aesthetic surgery, while 23.7% were submitted to chemotherapy and/or radiation therapy. In the request forms, 23.7% of physicians added some piece of information about the patient, whereas 2.3% of them informed the type of implant and 5.2% informed about the surgery. Conclusion: The amount of information in the magnetic resonance imaging request forms is very limited, and this may hinder quality of radiological reports. Institutional and technological measures should be implemented to encourage the requesting physicians and radiologists to share information.

RESUMO Objetivo: Analisar a qualidade e a quantidade de dados que constam nos questionários e nas requisições médicas de exame de ressonância magnética. Métodos: Estudo retrospectivo com 300 prontuários de pacientes. Dos questionários, foram utilizados os seguintes dados: idade, razão para a realização do exame, motivo para a colocação da prótese, referência a sinal ou sintoma, tempo decorrido desde a cirurgia de implante da prótese atual, se a cirurgia foi de troca da prótese, e se foi submetida à radioterapia ou à quimioterapia. Das requisições médicas do exame, foram utilizadas informações sobre prótese mamária, cirurgia de colocação do implante, dados clínico da paciente e especialidade do médico requisitante. Resultados: A média da idade das pacientes foi de 48,8 anos, e o tempo decorrido desde a colocação do implante foi de 5 anos, na média. Foram submetidas à cirurgia estética 60% das mulheres da amostra, e 23,7% tinham sido submetidas à quimioterapia e/ou radioterapia. Na requisição médica, 23,7% dos médicos inseriram algum dado, sendo que 2,3% informaram o tipo de implante e 5,2% sobre a cirurgia realizada. Conclusão: A quantidade de informações contidas nas requisições médicas foi baixa, o que pode comprometer a qualidade do laudo radiológico. Medidas institucionais e tecnológicas deveriam ser adotadas para estimular o intercâmbio de informações entre o médico solicitante e o médico radiologista.

Neuroartropatia de Charcot secundária à siringomielia: relato de caso / Charcot neuroarthropathy by syringomyelia: case report

A neuroartropatia de Charcot é uma das complicações da siringomielia, podendo ocasionar deformidades osteoarticulares e incapacidade funcional, com comprometimento das atividades da vida diária. Relatamos um caso de paciente com neuroartropatia de Charcot do ombro associada a siringomielia e malformação de Arnold-Chiari tipo I, acompanhado no Instituto Nacional de Traumatologia e Orto-pedia do Rio de Janeiro, RJ, Brasil.

Charcot neuroartropathy is one of the complications of syringomyelia and can lead to joint deformity and disability, affecting patients in activities of daily living. We report a case of a patient with shoulder Charcot neuroarthropathy associated with syringomyelia and Arnold-Chiari malformation type I, from the National Institute of Traumatology and Orthopedics of Rio de Janeiro, RJ, Brazil.

Ressonância magnética funcional e deglutição: revisão sistemática / Functional magnetic resonance imaging and swallowing: systematic review

Objetivo Avaliar a viabilidade e segurança da ressonância magnética funcional para a avaliação de áreas corticais envolvidas na deglutição. Estratégia de pesquisa Conduziu-se uma busca entre abril de 2003 e abril de 2013, usando as palavras chave “functional magnetic resonance imaging” or “fMRI” and “dysphagia” e “functional magnetic resonance imaging” or “fMRI” and “swallowing” na base de dados PubMed. Critérios de seleção Os estudos foram revisados por análise de seus títulos e abstracts e os critérios de inclusão utilizados foram: pesquisas envolvendo seres humanos, utilização de exames neurofuncionais, referência à função de deglutição, análise de população adulta e/ou idosa, relação com patologias neurológicas. Resultados A estratégia de busca resultou em 1167 citações, das quais apenas 35 preencheram os critérios de elegibilidade. Conclusão A ressonância magnética funcional foi considerada segura e viável para a avaliação de áreas corticais envolvidas na deglutição. Entretanto, os relatos de utilização de ressonâcia magnética funcional diferiram entre os estudos revisados e houve variabilidade na metodologia utilizada, dificultando as comparações. .

Purpose Evaluate the feasibility and safety of functional magnetic resonance imaging (fMRI) for the evaluation of cortical areas involved in swallowing. Research strategy The search was conducted from April 2003 to April 2013, using the keywords “functional magnetic resonance imaging” or “fMRI” and “dysphagia” and “functional magnetic resonance imaging” or “fMRI” and “swallowing” in “PubMed” database. Selection criteria Studies were reviewed by analyzing their titles and abstracts with the following inclusion criteria: research involving human subjects, use of neurofunctional tests, reference to swallowing function, adult and/or elderly population analysis and association with neurological disorders. Results the search strategy resulted in 1167 citations, from which only 35 met the eligibility criteria. Conclusion the functional magnetic resonance imaging was considered safe and feasible for evaluating cortical areas involved in swallowing. However, the reports of functional magnetic resonance usage differed between the reviewed studies and the variability in the methodology used, made meaningful comparisons difficult. .

Ataxia cerebelar idiopática de início tardio (ILOCA): um desafio diagnóstico / Idiopathic late onset cerebellar ataxia (ILOCA): diagnostic challenge

O diagnóstico diferencial das ataxias é complexo e a determinação etiológica um desafio. Quando se inicia após os 50 anos de idade, mesmo após extensa investigação, eventualmente não se estabelece a etiologia, podendo tratar-se de ataxia cerebelar idiopática de início tardio (ILOCA), uma das formas de ataxia esporádica neurodegenerativa. Relatamos o caso de uma mulher com quadro de ataxia e sinais piramidais com evolução de 14 anos, cuja causa, mesmo após extensa investigação, não foi possível de se identificar. Citamos, ainda, os diagnósticos diferenciais, assim como o estabelecido para a paciente em questão: ILOCA-plus , por causa da presença de sinais piramidais associados à ataxia.

The differential diagnosis of ataxia is complex and determining etiology is a diagnostic challenge. In some patients even after extensive investigation no etiology is determined and these cases could be classified as idiopathic late onset cerebellar ataxia (ILOCA), a cause of sporadic neurodegenerative ataxia. We report a case of a female patient with progressive ataxia (14 years of evolution) with pyramidal signs that even after extensive research has not been possible to determine the cause. We discuss the differential diagnosis and the diagnosis established for the patient: ILOCA-plus, due to presence of pyramidal signs associated with ataxia.

Preconditioning with L-alanyl-glutamine upon cerebral edema and hypocampus red neurons counting in rats subjected to brain ischemia /reperfusion injury

PURPOSE: To evaluate the effects of the dipeptide L-alanyl-glutamine (L-Ala-Gln) as a preconditioning agent to potentially promote reduction in the intensity of lesion or induction of resilience in rats subjected to global cerebral ischemia/reperfusion (I/R) injury. METHODS: Thirty-six male Wistar rats weighing 280-300g were randomly assigned to six groups (n=6). Groups Sham 1h and 24h were treated with saline and spared of further interventions. The remaining groups were submitted to clamping of the common carotid arteries for 30 minutes (ischemia) and treated with saline (SS) or L-Ala-Gln. Brain reperfusion was allowed for 1or 24 h. L-Ala-Gln was administered intravenously (0.75g/kg) 30 minutes before sham procedure or induction of global brain I/R injury. Brain edema and red neuron counting were determined. Results were expressed as Mean±SD for normal results and Median±Percentile for non parametric data. Significance was established at p<0.05. RESULTS: Global I/R injury promoted an increase in brain edema at 24 h after reperfusion, whereas preconditioning with L-Ala-Gln induced no change in edema. On the other hand, L-Ala-Gln preconditioning decreased significantly red neurons counting both at 1h and 24h post reperfusion (p<0.05). CONCLUSION: There was a significant preconditioning effect with L-Ala-Gln decreasing cell death (red neurons counting) at early (1h) and late reperfusion (24h) in the cerebral tissue. .