The clinical value of maternal and fetal Doppler parameters in low-risk postdates pregnancies – a prospective study

2017 ◽  
Vol 31 (21) ◽  
pp. 2893-2897 ◽  
Author(s):  
Oshrit Lebovitz ◽  
Eran Barzilay ◽  
Shali Mazaki-Tovi ◽  
Itai Gat ◽  
Reuven Achiron ◽  
...  
2018 ◽  
Vol 218 (1) ◽  
pp. S258
Author(s):  
Courtney Olson-Chen ◽  
Kam Szlachetka ◽  
Dzhamala Gilmandyar ◽  
Erica Faske ◽  
Elizabeth Fountaine ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e023897 ◽  
Author(s):  
Cansheng Zhu ◽  
Yaofei Wang ◽  
Weihua Mao ◽  
Hongshan Zhang ◽  
Jiaju Ma

ObjectivesTo characterise the prevalence and distribution of human papillomavirus (HPV) types in genital warts in Xi’an, China.MethodsThis prospective study was conducted in Shaanxi Provincial Institute for Skin Disease and STD Control (SPISSC) between September 2014 and April 2017. Genital wart samples were obtained from 879 patients, including 512 men and 367 women. HPV genotyping was performed by using an automatic nucleic acid hybridisation system.ResultsOf the 879 patients with genital warts, the detectable rates of low-risk, high-risk and total HPV types were 45.4%, 34.5% and 57.8%, respectively. The detectable rate of low-risk HPV types (45.4%) was significantly higher than that of high-risk HPV types (34.5%) (χ2=21.85, p<0.01). The detectable rate of low-risk HPV types of men (52.3%) was significantly higher than that of women (35.7%) (χ2=23.90, p<0.01). The detectable rates of one HPV type infection and two and three or more HPV type coinfections were 26.1%, 17.5% and 14.2%, respectively. HPV6 (24.9%), HPV11 (17.9%), HPV52 (9.9%) and HPV16 (7.3%) were the four most common HPV types.ConclusionsThe results of this study suggest that low-risk HPV types are major pathogens of genital warts, but high-risk HPV type infections and multiple HPV type coinfections are also common in genital warts. HPV6, 11, 52 and 16 are the four most common HPV types in genital wart in Xi’an, China.


2002 ◽  
Vol 27 (4) ◽  
pp. 345-349 ◽  
Author(s):  
Th. H. J. VAN DE KAR ◽  
J. B. JAQUET ◽  
J. MEULSTEE ◽  
C. B. H. MOLENAAR ◽  
R. J. SCHIMSHEIMER ◽  
...  

This study prospectively assessed the level of correlation between functional and electrophysiological recovery after median and ulnar nerve lacerations. Motor and sensory recovery were recorded clinically and electrophysiologically every 3 months in 24 patients with 29 complete median or ulnar nerve lacerations. The strength of agreement between the clinical motor score and the electrophysiological score was “fair”, but in 41% a discrepancy was identified (kappa factor 0.39). Regeneration was not detected earlier by electrophysiology than by a thoroughly performed clinical evaluation. This suggests that electrophysiologic testing is of value as an adjunct to clinical assessment for evaluating cases in which there is clinical doubt as to the progress of regeneration and secondary surgery is contemplated.


1978 ◽  
Vol 65 (5) ◽  
pp. 330-333 ◽  
Author(s):  
A. J. McKay ◽  
J. G. Duncan ◽  
C. W. Imrie ◽  
S. N. Joffe ◽  
L. H. Blumgart

Diagnostics ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 109
Author(s):  
Manuela Petersen ◽  
Simone A. Schenke ◽  
Jonas Firla ◽  
Roland S. Croner ◽  
Michael C. Kreissl

Purpose: To compare the diagnostic performance of thyroid imaging reporting and data system (TIRADS) in combination with shear wave elastography (SWE) for the assessment of thyroid nodules. Methods: A prospective study was conducted with the following inclusion criteria: preoperative B-mode ultrasound (US) including TIRADS classification (Kwak-TIRADS, EU-TIRADS), quantitative SWE and available histological results. Results: Out of 43 patients, 61 thyroid nodules were detected; 10 nodules were found to be thyroid cancer (7 PTC, 1 FTC, 2 HüCC) and 51 were benign. According to Kwak-TIRADS the majority of benign nodules (47 out of 51, 92.2%) were classified in the low-risk- and intermediate-risk class, four nodules were classified as high-risk (7.8%). When using EU-TIRADS, the benign nodules were distributed almost equally across all risk classes, 21 (41.2%) nodules were classified in the low-risk class, 16 (31.4%) in the intermediate-risk class and 14 (27.4%) in the high-risk class. In contrast, most of the malignant nodules (eight out of ten) were classified as high-risk on EU-TIRADS. One carcinoma was classified as low-risk and one as intermediate-risk nodule. For SWE, ROC analysis showed an optimal cutoff of 18.5 kPa to distinguish malignant and benign nodules (sensitivity 80.0%, specificity 49.0%, PPV 23.5% and NPV 92.6%). The addition of elastography resulted in an increase of accuracy from 65.6% to 82.0% when using Kwak-TIRADS and from 49.2% to 72.1% when using EU-TIRADS. Conclusion: Our data demonstrate that the combination of TIRADS and SWE seems to be superior for the risk stratification of thyroid nodules than each method by itself. However, verification of these results in a larger patient population is mandatory.


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