WHO CNS5 2021 includes specific mutations in gliomas that can be identified with MRI quantitative biomarkers.

In 2021, the latest version of the World Health Organization classification of central nervous system tumors (WHO CNS5) was published, which is considered an international standard. The first editions of this classification were based on histological characteristics and, subsequently, aspects related to new knowledge were incorporated. In the 2016 revision, molecular characteristics were implemented for the classification and staging of gliomas, such as the presence of mutations in IDH1 or IDH2. Currently, advanced magnetic resonance imaging (MRI) techniques allow assessing for the presence of 2-HG (increased oncometabolite that precedes IDH mutations), whereby IDH mutations can be indirectly identified, without invasive procedures being required. Advanced MRI is a growing field, highly useful for diagnosis and management of different pathologies. This document addresses the implications of WHO CNS5 classification in the evaluation of gliomas, as well as historical aspects, the bases of conventional MRI, and advanced MRI sequences useful in current classification.

En 2021 se publicó la última versión de la clasificación de tumores del sistema nervioso central de la Organización Mundial de la Salud (WHO CNS5 por sus siglas en inglés), considerada un estándar internacional. Las primeras ediciones se basaron en características histológicas y posteriormente se incorporaron aspectos relacionados con nuevos conocimientos. En la revisión de 2016 se implementaron características moleculares para la clasificación y estadificación de los gliomas, como la presencia de mutaciones en IDH1 y IDH2. Actualmente, las técnicas de resonancia magnética avanzada permiten valorar la presencia de 2-HG (oncometabolito incrementado ante mutaciones en IDH), de forma que indirectamente y sin procedimientos invasivos pueden identificarse las mutaciones en IDH. La resonancia magnética avanzada es un procedimiento aún en desarrollo, de gran utilidad para el diagnóstico y manejo de distintas patologías. En el presente documento se abordan las implicaciones de la WHO CNS5 en la evaluación de gliomas, así como aspectos históricos, las bases de la resonancia magnética convencional y secuencias de resonancia magnética avanzada útiles en la clasificación actual.

Cost analysis of drug treatment in hypertensive patients at social security health care family medicine units.

OBJECTIVE: To estimate the increase of drug treatment costs associated with predictive factors of hypertensive patients in family medicine units. MATERIALS AND METHODS: A generalized linear model was employed to estimate costs with data from a microcosting costing study for a 1-year time horizon. Sources of dada were medical electronic files, phar-macy records and unitary prices updated to 2019. RESULTS: From a total of 864 patients older than 65 years were 67% and women 65%. Factors with most influence on mean drug treatment costs were diabetes, age and complications associ-ated with hypertension. Mean annual cost of antihypertensive treatment was 61 dollars (CI95% 55,67) and median were 32 dollars (IQR 30,35) per patient. Incremental costs for diabetes were 23 dollars (CI95% 13,33) and 25 dollars (CI95% 5,45) in the group of ≥ 65 years. CONCLUSION: Diabetes, age and complications were the factors with largest influence on hypertension pharmacological costs.

Differential fat accumulation in early adulthood according to adolescent-BMI and heavy metal exposure.

INTRODUCTION: Heavy metals such as Lead (Pb) and Mercury (Hg) can affect adipose tissue mass and function. Considering the high prevalence of exposure to heavy metals and obesity in Mexico, we aim to examine if exposure to Pb and Hg in adolescence can modify how fat is accumulated in early adulthood. METHODS: This study included 100 participants from the ELEMENT cohort in Mexico. Adolescent Pb and Hg blood levels were determined at 14-16 years. Age- and sex-specific adolescent BMI Z-scores were calculated. At early adulthood (21-22 years), fat accumulation measurements were performed (abdominal, subcutaneous, visceral, hepatic, and pancreatic fat). Linear regression models with an interaction between adolescent BMI Z-score and Pb or Hg levels were run for each adulthood fat accumulation outcome with normal BMI as reference. RESULTS: In adolescents with obesity compared to normal BMI, as Pb exposure increased, subcutaneous (p-interaction = 0.088) and visceral (p-interaction < 0.0001) fat accumulation increases. Meanwhile, Hg was associated with subcutaneous (p-interaction = 0.027) and abdominal (p-interaction = 0.022) fat deposition among adolescents with obesity. CONCLUSIONS: Heavy metal exposure in adolescence may alter how fat is accumulated in later periods of life.

Diffusion tensor imaging-derived biomarkers performance in glioblastoma tumor regions: exploratory data analysis using zombie plots and diagnostic tests.

INTRODUCTION: Using diffusion tensor imaging (DTI), 11 biomarkers have been reported in different glioblastoma (GB) regions. OBJECTIVE: To compare the efficacy of GB biomarkers using "zombie plots". METHODS: Retrospective cohort of 29 subjects with GB who underwent 3-Tesla brain magnetic resonance imaging. DTI major, intermediate and minor eigenvalues were used to calculate biomarkers at five tumor regions: normal-appearing white matter (NAWM), proximal and distal edema, tumor tissue and necrosis. Contingency tables with true and false positive and negative results allowed the calculation of zombie plots based on the Bayes factor and previously unreported diagnostic tests. RESULTS: The MD, FA, q, L, Cl, Cp and RA biomarkers had a good performance at the optimal zone for NAWM diagnosis. The proximal and distal edema, enhancing rim and necrosis regions do not have biomarkers that identify them with an optimal performance level. CONCLUSIONS: Zombie plots allow simultaneous comparison of biomarkers based on likelihood ratios. MD, FA, q, L, Cl, Cp, RA discriminated NAWM normal brain tissue at the optimal zone, but performance for other regions was at the mediocre, diagnostic inclusion and diagnostic exclusion zones.

INTRODUCCIÓN: Han sido reportados 11 biomarcadores de imágenes con tensor de difusión (DTI) en las regiones tumorales del glioblastoma. OBJETIVO: Comparar la eficacia de biomarcadores de glioblastoma mediante gráficos de zombie, que permiten la comparación simultánea en función de razones de verosimilitud. MÉTODOS: Cohorte retrospectiva de 29 sujetos con glioblastoma a quienes se efectuó resonancia magnética cerebral de 3 T. Los eigenvalores mayor, intermedio y menor de ITD se utilizaron para calcular 11 biomarcadores en cinco regiones tumorales: sustancia blanca de apariencia normal (NAWM), edema proximal y distal, tumoral viable y necrosis. Las tablas de contingencia con resultados verdaderos y falsos positivos y negativos permitieron calcular gráficos de zombie basados en el factor de Bayes y pruebas diagnósticas previamente no reportadas. RESULTADOS: Los biomarcadores DM, AF, q, L, Cl, Cp, AR actúan en la zona óptima para el diagnóstico de NAWM. Las regiones de edema proximal y distal, tejido tumoral que se realza con contraste y necrosis no poseen biomarcadores que las identifiquen en un nivel de rendimiento óptimo. CONCLUSIONES: Los biomarcadores DM, AF, q, L, Cl, Cp, AR discriminan el tejido cerebral normal en la zona óptima, pero el rendimiento de otras regiones tumorales se ubica en las zonas de inclusión diagnóstica, exclusión diagnóstica y mediocre.

Quantitative systematic review: Methods used for the in vivo measurement of body composition in pregnancy.

AIMS: Because of the increased overall prevalence of pre-pregnancy obesity among racial-ethnic groups, we conducted a review of published methods for body composition measurement during pregnancy considering at present there is no consensus on the best practices and type of study design that researchers should use for this purpose. DESIGN: Quantitative systematic review. DATA SOURCES: PubMed, EMBASE, Scopus, Web of Science, and Virtual Library of Health. Search dates from 1997-2016. REVIEW METHODS: Search of articles indexed in selected databases from 1997-2016. Studies were published in English, Spanish, and Portuguese. Graphs were carried out using data visualization software. RESULTS: From the 112 included studies, 70 were prospective cohorts, 30 cross-sectional studies, 10 randomized controlled trial, and two retrospective studies. Cross-sectional studies and randomized controlled trial depicted a positive correlation with significant trend. CONCLUSIONS: Although several methods for body composition measurement exist, only bioelectrical impedance analysis, displacement plethysmography, and displacement plethysmography show a significant growing trend. Use of data visualization allows understanding various associations among categorical variables, with a graphical display of their multidimensional behaviour. IMPACT: Public and private health-care institution evaluating pregnancy women. Health-care personnel, including nursing professional, dealing with measurements of body composition during pregnancy will find reading this manuscript beneficial.

Breast Prosthesis Syndrome: Pathophysiology and Management Algorithm.

The cosmetic use of devices like prostheses to increase breast volume is nothing new. It is calculated that millions of people have been exposed to silicone in several ways, including breast implants, and since 1964 there has been uncertainty regarding their safety. We did not find in the literature any studies that reported the appearance of a specific immunological disease in patients with silicone breast implants. Furthermore, there are also neither case-control studies nor reports of patients proving that symptoms of autoimmune/inflammatory syndrome induced by adjuvants (ASIA) occurred after the placement of silicone implants nor that the patients had pre-existing symptoms. Several studies link silicone to allergic reactions and the development of systemic autoimmune diseases; however, other studies deny this association. There are currently several theories about the effect of silicone on the body. One theory with greater acceptance proposes an adjuvant effect of silicone on the development of autoimmune diseases in genetically predisposed patients. However, the variety of symptoms occurring in patients who develop these pathologies leads to doubts about the relationship between the adjuvant effects of a silicone prosthesis may have with a specific autoimmune disease or a mix of these diseases. The lack of consensus on this topic obliges a full review of what has already been reported in the literature to integrate the knowledge and propose a focus for new research on this matter. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Mexican ENARM: performance comparison of public vs. private medical schools, geographic and socioeconomic regions.

OBJECTIVE: This study aimed to compare the performance in the National Assessment for Applicants for Medical Resi- dency (ENARM in spanish) of private versus public medical schools, geographic regions and socioeconomic levels by using three different statistical methods (summary measurements, the rate of change and the area under the receiver operator characteristics [AUROC]). These methods have not been previously used for the ENARM; however, some variations of the summary measurements have been reported in some USA assessments of medical school graduates. MATERIALS AND METHODS: Cross-sectional study based on historical data (2001-2017). We use summary measures and colourfilled map. The statistical analysis included Mann-Whitney U, Kruskal-Wallis, Spearman correlation coefficient (Rs), and linear regression. RESULTS: A total of 113 medical schools were included in our analysis; 60 were public and 53 private. We found difference in the median of total scores for type of schools, MD= 54.07 vs. MD= 57.36, p= 0.011. There were also significant differences among geographic and socioeconomic regions (p<0.05). CONCLUSIONS: Differences exist in the total scores and percentage of selected test-takers between type of schools, geographic and socioeconomic regions. Higher scores are prevalent in the Northeast and Norwest regions. Additional research is required to identify factors that contribute to these differences. Unsuspected differences in examination scores can be unveiled using summary measures.

OBJETIVO: Comparar el desempeño en el Examen Nacional de Aspirantes a Residencias Médicas (ENARM) de escuelas de medicina privadas y públicas, regiones geográficas y niveles socioeconómicos mediante el uso de tres métodos estadísti- cos diferentes (medidas de resumen, tasa de cambio y el área bajo las características del operador receptor [AUROC en inglés]). Estos métodos no han sido utilizados previamente para el ENARM; sin embargo, se han informado algunas variaciones de las mediciones de resumen en algunas evaluaciones de graduados de medicina de Estados Unidos. MATERIAL Y MÉTODOS: Estudio transversal basado en datos históricos (2001-2017). Se usaron medidas de resumen y un mapa lleno de color. El análisis estadístico incluyó Mann Whitney U, Kruskal-Wallis y coeficiente de correlación de Spearman (Rs). RESULTADOS: Se incluyeron 113 escuelas de medicina en el análisis; 60 eran públicas y 53 privadas. Se encontraron diferencias en la mediana de las puntuaciones totales para el tipo de escuelas, MD= 54.07 vs. MD= 57.36, p= 0.011. También hubo diferencias significativas entre las regiones geográficas y socioeconómicas (p<0.05). CONCLUSIONES: Existen diferencias en los puntajes totales y el porcentaje de examinados seleccionados entre el tipo de escuelas, regiones geográficas y socioeconómicas. Las puntuaciones más altas prevalecen en las regiones noreste y noroeste. Se requieren investigaciones adicionales para identificar los factores que contribuyen a estas diferencias. Las diferencias insospechadas en los puntajes de los exámenes se pueden revelar usando medidas de resumen.

Impact factor correlations with Scimago Journal Rank, Source Normalized Impact per Paper, Eigenfactor Score, and the CiteScore in Radiology, Nuclear Medicine & Medical Imaging journals.

INTRODUCTION: In the last decade, several journal's editors decided to publish alternative bibliometric indices parallel to the impact factor (IF): Scimago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP), Eigenfactor Score (ES) and CiteScore™ (CiteScore); however, there is scarce information about the correlations among them. In this study, we aimed to evaluate the associations between this bibliometrics in the Radiology, Nuclear Medicine & Medical Imaging category of the Web of Knowledge. We hypothesized the IF did not show the best correlation with other metrics. METHODS: Retrospective study. We used bibliometrics recorded from the 2017 publicly available versions of the Journal Citation Reports (JCR), SJR ( www.scimagojr.com ), SNIP ( www.journalindicators.com ), and CiteScore ( www.scopus.com ); we also included the Total Cites. We measured the correlations using the Spearman correlation coefficients (RS) for all combinations of the bivariate pair, performed pairwise comparisons of the RS values, and calculated the coefficients of determination. We also tested the statistical significance of the difference between r coefficients between groups. All analyses were conducted with the JMP Pro software. RESULTS: The stronger bivariate correlations were represented by the ES↔Total Cites RS = 0.968, p < 0.001, R2 = 0.937; and the CiteScore↔SJR RS = 0.911, p < 0.001, R2 = 0.829. From 105 possible combinations of pairwise comparisons, 38 depicted a p value > 0.050 which would suggest interchangeability among bivariate correlations. CONCLUSIONS: Our findings support our hypothesis that the IF does not show the best correlation between other metrics. Radiologists, interventional radiologist, or nuclear medicine doctors should have a clear understanding of the associations among the journal's bibliometrics for their decision-making during the manuscript submission phase.

Eigenfactor score and alternative bibliometrics surpass the impact factor in a 2-years ahead annual-citation calculation: a linear mixed design model analysis of Radiology, Nuclear Medicine and Medical Imaging journals.

INTRODUCTION: Because we believe the journal selection before a manuscript submission deserves further investigation in each medical specialty, we aimed to evaluate the predictive ability of seven bibliometrics in the Radiology, Nuclear Medicine and Medical Imaging category of the Web of Knowledge to calculate total citations over a 7-year period. METHODS: A linear mixed effects design using random slopes and intercepts were performed on bibliometrics corresponding to 124 journals from 2007 to 2011, with their corresponding citations from 2009 to 2013, which appeared in the Journal Citations Report Science Edition. RESULTS: The Eigenfactor Score, Article Influence Score, Cited Half-life, 5-years impact factor and Number of Articles are significant predictors of 2-year-ahead total citations (p ≤ 0.010 for all variables). The impact factor and Immediacy Index are not significant predictors. There was a significant global effect size (R2 = 0.934; p < 0.001), which yielded a total variance of 93.4%. CONCLUSIONS: Our findings support researchers' decision to stop the misuse of IF alone to evaluate journals. Radiologists and other researchers should review journal's bibliometrics for their decision-making during the manuscript submission phase. A re-ranking of journals using Eigenfactor Score, Article Influence Score, and Cited Half-life provides a better assessment of their significance and importance in particular disciplines.

Alternative bibliometrics from the web of knowledge surpasses the impact factor in a 2-year ahead annual citation calculation: Linear mixed-design models' analysis of neuroscience journals.

CONTEXT: The decision about which journal to choose for the publication of research deserves further investigation. AIMS: In this study, we evaluate the predictive ability of seven bibliometrics in the Web of Knowledge to calculate total cites over a 7-year period in neuroscience journals. SETTINGS AND DESIGN: Coincidental bibliometrics appearing during 2007, 2008, 2009, 2010, and 2011, along with their corresponding cites in 2009, 2010, 2011, 2012, and 2013, were recorded from the journal citation reports (JCR) Science Edition. This was a retrospective study. MATERIALS AND METHODS: This was a bibliographic research using data from the Web of Knowledge in the neuroscience category. STATISTICAL ANALYSIS USED: A linear-mixed effects design using random slopes and intercepts was performed on 275 journals in the neuroscience category. RESULTS: We found that Eigenfactor score, cited half-life, immediacy index, and number of articles are significant predictors of 2-year-ahead total cites (P ≤ 0.010 for all variables). The impact factor, 5-year impact factor, and article influence score were not significant predictors; the global effect size was significant (R2= 0.999; P < 0.001) with a total variance of 99.9%. CONCLUSIONS: An integrative model using a set of several metrics could represent a new standard to assess the influence and importance of scientific journals, and may simultaneously help researchers to rank journals in their decision-making during the manuscript submission phase.

Basic principles of mathematical growth modeling applied to high-grade gliomas: A brief clinical review for clinicians.

The battle against cancer has intensified in the last decade. New experimental techniques and theoretical models have been been proposed to understand the behavior, growth, and evolution of different types of brain tumors. Unfortunately, for glioblastoma multiforme (GBM), except for methylation of the O6-methylguanine-DNA methyltransferase (MGMT) promoter that has some benefit in the local control of tumors using alkylating agents such as temozolomide, to date personalized treatments do not exist. In this article, we present a comprehensive review of different aspects intertwined in the mathematical growth modeling applied to high-grade gliomas. We briefly cover the following fundamental aspects related to the conventional imaging in GBM: defining the tumor regions in GBM, segmentation of the tumor regions using magnetic resonance imaging (MRI) of the brain, response assessment using the neuro-oncology response criteria versus the Macdonald criteria, availability of software for the segmentation of MRI of the brain, mathematical modeling applied to tumor growth, principles of mathematical modeling, factors involved in tumor growth models, mathematical modeling based on imaging data, most common equations used in high-grade glioma growth modeling, integration of mathematical growth models in computer simulators, tumor growth modeling as a part of brain's complex system, and challenges in mathematical growth modeling. We conclude by saying that it is the combination of biomedical imaging and mathematical modeling that allows the assembling of clinically relevant models of tumor growth and treatment response; the most appropriate model will depend on the premise and findings of each experiment.

Comparisons of Apparent Diffusion Coefficient Values in Penumbra, Infarct, and Normal Brain Regions in Acute Ischemic Stroke: Confirmatory Data Using Bootstrap Confidence Intervals, Analysis of Variance, and Analysis of Means.

BACKGROUND AND OBJECTIVE: There is no consensus about apparent diffusion coefficient (ADC) values in acute stroke regions that could be used by clinicians in a day-to-day clinical practice; regional measures using confidence intervals (CIs) and a graphic representation of means are scarce in the literature. Our aim in this study was to compare ADC values in infarct, penumbra, and normal brain regions in patients with acute ischemic stroke (AIS). METHODS: This is a retrospective study of 100 magnetic resonance imaging data sets from AIS patients. ADC values were measured in the infarct, penumbra, and normal regions. Three hundred measurements underwent 1-way analysis of variance, analysis of means, and calculation of 95% and 84% CIs. RESULTS: There was a statistically significant difference at the P level less than .025 in ADC values for the 3 regions (F[2, 297] = 168.039, P ≤ .001), with no overlap of the CIs for the means among the regions: normal brain (mean [M] = .847, standard deviation [SD] = .103, 95% CI: .825-.866), infarct (M = .533, SD = .157, 95% CI: .501-.563), and penumbra (M = .764, SD = .110, 95% CI: .740-.787). CONCLUSIONS: ADC values might be used as reference data in acute stroke-specific populations; CIs would provide radiologists and clinicians with additional quantitative tools to evaluate penumbra, infarct, and normal brain tissue and to tailor follow-up and treatment options for selected patients.

Perfusion volume correlates, percentage of involution, and clinical efficacy at diverse follow-up survey times after MR-guided focused ultrasound surgery in uterine fibroids: first report in a Mexican mestizo population.

OBJECTIVES: To evaluate the clinical efficacy of magnetic resonance-guided focused ultrasound surgery in a Mexican mestizo population. METHODS: This retrospective study included 159 women (mean age 37 ± 6.4 years, range 22-53 years) from 2008 to 2010. Two hundred sixty-eight symptomatic uterine fibroids were treated using MR-guided focused ultrasound surgery. Parameters included initial perfused volume, final perfused volume, non-perfused volume (NPV), and treated volume ratio (TVR). Follow-up up to 15 months assessed treatment efficacy and symptomatic relief. Non-parametric statistics and the Kaplan-Meier method were performed. RESULTS: T2-weighted hypointense fibroids showed a frequency of 93.6%; isointense and hyperintense fibroids had frequencies of 5.60 and 1.1%. There was a negative correlation between NPV and age (r = -0.083, p = 0.307) and treatment time (r = -0.253, p = 0.001). Median TVR was 96.0% in small fibroids and 76.5% in large fibroids. Involution of 50% and 80% was achieved at months 6-7 and month 11, respectively. Relief of symptoms was significant (p < 0.05). CONCLUSIONS: Our data show that higher TVR attained immediately post-treatment of MRgFUS favours higher involution percentages at follow-up; however, careful patient selection and use of pretreatment imaging are important components for predicting success using MR-guided focused ultrasound surgery. KEY POINTS: • Type 1 fibroids were the most common (93.2%). • Age and treated volume were not correlated (r s = -0.215, p = 0.165). • Small fibroids achieved a higher treated volume than large (96.0% vs. 76.5%). • A 50% involution was achieved at 6-month follow-up for type-1 fibroid. • A decrease of 80% was reached at 11 months for type-1 fibroids.

Current concepts on magnetic resonance imaging (MRI) perfusion-diffusion assessment in acute ischaemic stroke: a review & an update for the clinicians.

Recently, several medical societies published joint statements about imaging recommendations for acute stroke and transient ischaemic attack patients. In following with these published guidelines, we considered it appropriate to present a brief, practical and updated review of the most relevant concepts on the MRI assessment of acute stroke. Basic principles of the clinical interpretation of diffusion, perfusion, and MRI angiography (as part of a global MRI protocol) are discussed with accompanying images for each sequence. Brief comments on incidence and differential diagnosis are also included, together with limitations of the techniques and levels of evidence. The purpose of this article is to present knowledge that can be applied in day-to-day clinical practice in specialized stroke units or emergency rooms to attend patients with acute ischaemic stroke or transient ischaemic attack according to international standards.

Variability of apparent diffusion coefficients in metastatic small cell lung carcinoma: comparisons between-within normal tissue and liver metastases.

In recent years, the use of diffusion weighted MRI (DW-MRI) has increased for the diagnosis of focal liver lesions (FLLs). DW-MRI may help in the differentiation of benign and malignant FLLs by measuring the apparent diffusion coefficient (ADC) values. Unfortunately, liver metastases present different histopathologic features with variable MRI signals within each lesion; this histologic variability explains the intra- and inter-lesion variations of ADC measurements. We present the case of a 64-year-old female with diagnosis of liver metastasis from small cell lung carcinoma admitted to the emergency unit due to symptoms of inappropriate antidiuretic hormone secretion. Quantitative comparison of two liver MRI, on admission and 2-months after transcatheter arterial chemoembolization showed persistence of the hyperintense metastatic lesions with significant difference in the ADC values in the with-in metastatic lesions (p = 0.001) and between normal tissue and liver metastases only at the end of treatment (p < 0.001). Several publications state that DWMRI is capable to predict the response to chemotherapy in malignant tumors, the histologic variability of liver metastasis and their response to different treatments is reflected in intra- and inter-lesion variations of ADC measurements that might delay an accurate imaging diagnosis. We present evidence of this variability, which might encourage prospective clinical trials that would define better cut-off values, would help understand the ADC biological behaviour, and would reach consensus about the best acquisition parametersfor this promising quantitative biomarker.

3T MRI and 128-slice dual-source CT cisternography images of the cranial nerves a brief pictorial review for clinicians.

There is a broad community of health sciences professionals interested in the anatomy of the cranial nerves (CNs): specialists in neurology, neurosurgery, radiology, otolaryngology, ophthalmology, maxillofacial surgery, radiation oncology, and emergency medicine, as well as other related fields. Advances in neuroimaging using high-resolution images from computed tomography (CT) and magnetic resonance (MR) have made highly-detailed visualization of brain structures possible, allowing normal findings to be routinely assessed and nervous system pathology to be detected. In this article we present an integrated perspective of the normal anatomy of the CNs established by radiologists and neurosurgeons in order to provide a practical imaging review, which combines 128-slice dual-source multiplanar images from CT cisternography and 3T MR curved reconstructed images. The information about the CNs includes their origin, course (with emphasis on the cisternal segments and location of the orifices at the skull base transmitting them), function, and a brief listing of the most common pathologies affecting them. The scope of the article is clinical anatomy; readers will find specialized texts presenting detailed information about particular topics. Our aim in this article is to provide a helpful reference for understanding the complex anatomy of the cranial nerves.