47 research outputs found
How to understand Holoprosencephaly
ABSTRACT
Holoprosencephaly (HPE) is a group of complex structural malformations of the forebrain that results from complete or incomplete nonseparation of the prosencephalon that yields an incomplete division of the cerebral hemispheres and of the telencephalon from the diencephalon. According to the severity of the malformation, HPE is categorized into four subtypes: Alobar HPE, semilobar HPE, lobar HPE, and a middle interhemispheric fusion variant (syntelencephaly). The incidence of HPE is 1 in 10,000 to 15,000 births. The etiology of HPE is very heterogeneous, and the identified causes until now are: Chromosomal (most commonly trisomy 13), monogenic, and teratogenic. The first step of the diagnostics is based on the ultrasound visualization of cerebral ventricular abnormalities, on the axial plane of the fetal brain, and on the facial anomalies.
How to cite this article
Vladareanu R, Munteanu A, Ionescu CA, Navolan D, Vladareanu S. How to understand Holoprosencephaly. Donald School J Ultrasound Obstet Gynecol 2017;11(4):282-287.
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Advanced Ultrasound Application – Impact on Presurgical Risk Stratification of the Thyroid Nodules
Dana Stoian, 1, 2 Viviana Ivan, 1 Ioan Sporea, 1 Varcus Florian, 3 Ioana Mozos, 4 Dan Navolan, 5 Dragos Nemescu 6 1 2nd Department of Internal Medicine, “Victor Babes” University of Medicine, Timisoara, Romania; 2Dr. D Center for Ultrasound in Endocrinology, Timisoara, Romania; 3 2nd Department of Surgery, “Victor Babes” University of Medicine, Timisoara, Romania; 4Department of Physiopathology, “Victor Babes” University of Medicine, Timisoara, Romania; 5Department of Obstetrics Gynecology, “Victor Babes” University of Medicine, Timisoara, Romania; 6Department of Obstetrics Gynecology, “Gr. T. Popa” University of Medicine, Iasi, RomaniaCorrespondence: Dan NavolanDepartment of Obstetrics Gynecology, “Victor Babes” University of Medicine and Pharmacy Timisoara, P-ta Eftimie Murgu, Nr. 2, Timisoara 300011, RomaniaEmail [email protected] Ivan 2nd Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, P-ta Eftimie Murgu, Nr. 2, Timisoara 300011, RomaniaTel +40 722 960 911Fax +40 256 020 1890Email [email protected]: Current major guidelines recommend risk stratification of the thyroid nodules, after each diagnostic evaluation, in order to focus attention on potentially risky nodules. The main aim of our study was to evaluate the performance of combined advanced ultrasound techniques in this process, compared with conventional stratification models, in order to reduce unnecessary fine-needle biopsies, respectively, surgery.Material and Methods: We evaluated 261 cases (261 nodules) using conventional ultrasound (2B), real-time Doppler evaluation (4D) respectively, real-time elastography, using a linear multifrequency probe and a linear volumetric probe (Hitachi Prerius Machine, Hitachi Inc, Japan). All the nodules were classified using a risk stratification model comprising seven conventional US characteristics, two 4 D characteristics and a color map RTE aspect. The results were compared with the pathology results, considered the golden standard diagnosis.Results: The prevalence of malignant nodules was 21.83% (57 cases). Conventional risk classification generated: 106 low-risk cases, 113 intermediate-risk and 42 high-risk cases. Our proposed risk classification changes the conventional risk classification with a risk upgrade in 27 cases and with a risk downgrade in 69 cases. The diagnostic quality of the combined risk stratification model was better, considering a low-risk category predictive for benignancy and a high category predictive for malignancy: Sensitivity: 80.88% versus 49.01%, respectively, Specificity: 91.22% versus 54.38. The diagnostic power differences were observed regardless of the nodule size.Conclusion: Advanced ultrasound techniques did add diagnostic value in the presurgical risk assessment of the thyroid nodules.Keywords: strain elastography, volumetric Doppler, complex ultrasound thyroid evaluation, risk stratificatio
Spatial Configuration of the Uterine Artery Cervical Segment in 3-Dimensional Reconstruction at 11 to 14 Weeks' Gestation
Stability analysis of a hypothalamic-pituitary-adrenal axis model with inclusion of glucocorticoid receptor and memory
Mathematical model describing the thyroids-pituitary axis with distributed time delays in hormone transportation
A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
Abstract- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes ’ ranking in the context of a data mining task. The behavior of this filter is analyzed for the problem of ranking risk factors in preterm birth. The results obtained by applying the proposed evolutionary approach are compared with rankings obtained by applying some classical attributes selection methods and a logistic regression procedure. The influence of the ranking on a supervised classification (based on a radial basis function neural network) is also analyzed and the results suggest that the evolutionary approach provides a good quality ranking. I
Inverse Association Between IgG–Anti-κ and Antierythrocyte Autoantibodies in Patients With Cold Agglutination
Inverse Association Between IgG–Anti-κ and Antierythrocyte Autoantibodies in Patients With Cold Agglutination
Elastographie en temps réel – impact de la réponse d’anélasticité
Université de Médecine et de Pharmacie ”Victor Babes”, Timisoara, Roumanie
The IVth Congress of Radiology and Medical Imaging of the Republic of Moldova with international participation, Chisinau, May 31 – June 2, 2018Introduction: L’élastographie mammaire est une technique récente utilisée en complément de l’échographie mammaire dans le dépistage du
cancer du sein. L’élastographie fournit non seulement des informations qualitatives (carte à codage de couleur), ainsi que quantitative, liée
au rapport d’élasticité du nodule versus le tissu adipeux (FLR). À la lumière de la qualité, il y a controverse sur la valeur de discrimination
entre les lésions bénignes et malignes. Actuellement, la limite utilisée dans notre centre est la valeur médiane de 4,88, validée sur une étude
comparative avec l’examen histopathologique, une valeur qui assure une sensibilité de 86,5% et une spécificité de 90,4%
Matériel et méthodes: L’étude a inclu 344 femmes, âgées de 19 à 76 ans, avec des pathologies mammaires chirurgicales, qui ont eu un résultat
histopathologique clair et, dans certains cas, un résultat immunohistochimique clair.
Résultats: Sur le total de 344 cas, ont été diagnostiqués lésions bénignes en 186 (54,1%), le cancer du sein dans 158 cas (45,9%). Lorsque
nous avons examiné la valeur FLR, on a eu la stratification du risque suivant: faible risque dans 166 cas, 38 cas avec risque intermédiaire
et à haut risque 138 cas. La sensibilité et la spécificité de cette stratification considérée isolée, sans l’information fournie par l’échographie
2B, est 92,4% et respectivement 83,9%. Le système conventionnel BIRADS-US n’avait qu’une sensibilité de 75,6%, avec une spécificité de
69,9%. Contrairement à cela, un nombre important de cas classés comme intermédiaires, 97 cas (catégorie BIRADS 4 a), ont été réorganisés
dans l’autre catégorie de risque, alors quand ils ont été soumis à l’évaluation élastographique, 23 ont été attribués à un groupe à haut risque
en raison de l’anélasticité et 26 ont été attribués à classe de risque faible parce que l’élasticité était présente. Seuls 48 cas sont restés dans la
catégorie intermédiaire.
Conclusions: Évidemment, l’élastographie apporte un plus pour l’échographie classique, en réduisant le nombre de résultats faux positifs et
faux négatifs par rapport à l’échographie classique
