蜂蛹脂肪超声波提取工艺研究及脂肪酸成分分析

利用超声波技术对蜂蛹脂肪的提取工艺进行了研究,并对蜂蛹脂肪酸的成分进行了分析。结果表明,超声波提取蜂蛹脂肪时间短,效果好。最佳提取工艺条件为:提取溶剂为石油醚,超声波强度34W/cm2,超声波处理时间25min,料液比1∶20。蜂蛹脂肪的一次提取率为97.3%。蜂蛹脂肪约占干物质总量的26.09%,含5种脂肪酸,含量最高的是油酸,占脂肪酸总量的43.27%,其它成分的含量相对较少。     

Contrast-enhanced versus non-enhanced three-dimensional echocardiography of left ventricular volumes

Background In three-dimensional echocardiography (3DE), individual endocardial trabeculae are not clearly visible necessitating left ventricular (LV) volumes to be measured by tracing the innermost endocardial contour. Ultrasound contrast agents aim to improve endocardial definition, but may delineate the outermost endocardial contour by filling up intertrabecular space. Although measurement reproducibility may benefit, there may be a significant influence on absolute LV volume measurements. Methods Twenty patients with a recent myocardial infarction and good ultrasound image quality underwent 3DE using the TomTec Freehand method before and during continuous intravenous contrast infusion. LV volumes were measured offline using TomTec Echo-Scan software. Results The use of contrast enhancement increased end-diastolic (110±35 vs. 144±53 ml; p<0.01) and end-systolic volume measurements (68±31 vs. 87±45 ml; p<0.01) significantly compared with non-contrast; the ejection fraction remained unchanged (40±13 vs. 41±14%, p=NS). Measurement reproducibility did not improve significantly, however. Conclusion Volumes measured by 3DE are significantly larger when ultrasound contrast is used. Possibly, intertrabecular space comprises a substantial part of the LV cavity. In the presence of an adequate apical acoustic window, ultrasound contrast does not improve LV volume measurement reproducibility. (Neth Heart J 2008;16:47-52.)     

四维子宫输卵管超声造影假阳性与假阴性的原因分析

目的:调查与分析四维子宫输卵管超声造影假阳性与假阴性的原因.方法:选择2015年6月到2019年8月在本院妇产科临床初步诊断为输卵管不孕症患者125例,所有患者都给予X线子宫输卵管碘油造影(Hysterosalp ingography,HSG)与四维子宫输卵管超声造影,记录诊断效果、不良反应,判断假阳性与假阴性的发生原...     

Cross-correlations between gluteal muscle thickness derived from ultrasound imaging and hip biomechanics during walking gait

Ultrasound imaging (USI) of muscle thickness offers different insights into musculoskeletal function than kinematics, kinetics, and surface electromyography (sEMG), however it is unknown how USI-derived measures correlate to traditional measures during walking. The purpose of this study was to compare USI-derived gluteus maximus (GMAX) and medius (GMED) thickness measures to tri-planar hip kinematics and kinetics, and GMED thickness to sEMG amplitude. Fourteen females walked on a treadmill at 1.34 m/s. GMAX and GMED thickness, hip tri-planar kinematics, kinetics, and GMED sEMG were simultaneously recorded. USI-derived thickness measures were compared to other biomechanical outcomes using cross-correlation analyses, computed at each 1% (11-ms) of the gait cycle with lag times from −20% to 20%. GMED and GMAX thickness measures were most strongly correlated with hip extension and abduction angles at 150–220-ms lags (cross-correlation coefficients [CCF]: −0.34; −0.83). GMED thickness was most correlated to abduction and external rotation moments simultaneously (CCF: −0.28; −0.47). GMAX thickness and flexion moments were most strongly correlated at a 66-ms lag (CCF: 0.33). GMED sEMG amplitude was most strongly correlated to muscle thickness at a 99-ms lag (CCF: 0.39). These results elucidate the unique information provided from USI-derived measures of gluteal muscle thickness during walking.     

Outcomes of endoscopic ultrasound‐guided pancreatic FNAC diagnosis for solid and cystic lesions at Manchester Royal Infirmary based upon the Papanicolaou Society of Cytopathology pancreaticobiliary terminology classification scheme

Objective

To compare endoscopic ultrasound (EUS)‐FNAC diagnosis of pancreatic lesions with patient outcome based upon the Papanicolaou Society of Cytopathology pancreaticobiliary terminology classification scheme diagnostic categories: Panc 1 (non‐diagnostic); Panc 2 (negative for malignancy/neoplasia); Panc 3 (atypical); Panc 4B (neoplastic, benign); Panc 4O (neoplastic, other); Panc 5 (suspicious of malignancy); and Panc 6 (positive/malignant).

Methods

All EUS‐FNA pancreas specimens taken at Manchester Royal Infirmary in 2015 were prospectively classified according to the above scheme at the time of cytology reporting and data recorded prospectively. Subsequently, outcomes based on clinical follow‐up or histopathology diagnosis were compared with the cytology diagnosis.

Results

120 EUS‐FNA pancreas specimens from 111 patients were received, of which 112 (93.3%) specimens had follow‐up data. There were 79 and 41 EUS‐FNA pancreas specimens from solid and cystic lesions, respectively. Based on the cytology diagnosis the specimens were classified as Panc 1 (7.5%), Panc 2 (33.3%), Panc 3 (2.5%), Panc 4B (2.5%), Panc 4O (15.0%), Panc 5 (3.3%) and Panc 6 (35.9%). The performance indicators for diagnosis of malignancy or neoplasia with malignant potential, included sensitivity (95.4%), specificity (100%), positive predictive value (100%), negative predictive value (92.3%), false positive rate (0%) and false negative rate (4.6%).

Conclusions

The Papanicolaou Society of Cytopathology pancreaticobiliary terminology classification scheme is a logical system that can easily be introduced in a diagnostic cytopathology service. This classification scheme acts as an aid to diagnostic reporting, clear communication of significant results including risk of neoplasia/malignancy to clinicians, clinical audit and comparison of results with other centres.     

Using Echo Ultrasound from Schooling Fish to Detect and Classify Fish Types

Fish finders have already been widely available in the fishing market for a number of years.However,the sizes of these fishfinders are too big and their prices are expensive to suit for the research of robotic fish or mini-submarine.The goal of thisresearch is to propose a low-cost fish detector and classifier which suits for underwater robot or submarine as a proximity sensor.With some pre-condition in hardware and algorithms,the experimental results show that the proposed design has good per-formance,with a detection rate of 100 % and a classification rate of 94 %.Both the existing type of fish and the group behaviorcan be revealed by statistical interpretations such as hovering passion and sparse swimming mode.