Lens status influences the association between CFH polymorphisms and age-related macular degeneration: Findings from two population-based studies in Singapore

10.1371/journal.pone.0119570PLoS ONE103e011957

The Effect of Fish Oil-Based Lipid Emulsion and Soybean Oil-Based Lipid Emulsion on Cholestasis Associated with Long-Term Parenteral Nutrition in Premature Infants

Purpose. To retrospectively study the effect of fish oil-based lipid emulsion and soybean oil-based lipid emulsion on cholestasis associated with long-term parenteral nutrition in premature infants. Methods. Soybean oil-based lipid emulsion and fish oil-based lipid emulsion had been applied in our neonatology department clinically between 2010 and 2014. There were 61 qualified premature infants included in this study and divided into two groups. Soybean oil group was made up of 32 premature infants, while fish oil group was made up of 29 premature infants. Analysis was made on the gender, feeding intolerance, infection history, birth weight, gestational age, duration of parenteral nutrition, total dosage of amino acid, age at which feeding began, usage of lipid emulsions, and incidence of cholestasis between the two groups. Results. There were no statistical differences in terms of gender, feeding intolerance, infection history, birth weight, gestational age, duration of parenteral nutrition, total dosage of amino acid, and age at which feeding began. Besides, total incidence of cholestasis was 21.3%, and the days of life of occurrence of cholestasis were 53±5.0 days. Incidence of cholestasis had no statistical difference in the two groups. Conclusion. This study did not find the different role of fish oil-based lipid emulsions and soybean oil-based lipid emulsions in cholestasis associated with long-term parenteral nutrition in premature infants

Structured reports of pelvic magnetic resonance imaging in primary endometrial cancer: Potential benefits for clinical decision-making.

BACKGROUND:Although evidence is increasing that the implementation of structured reports (SRs) may increase the standardization of reports and improve communication between radiologists and end-users, it is unclear whether these alternative formats of Chinese radiological narratives are appealing or even acceptable to radiologists and clinicians. OBJECTIVE:To compare the effect of SRs and non-structured reports (NSRs) of pelvic magnetic resonance imaging (MRI) in patients with primary endometrial cancer on referring gynecologists' satisfaction, further decision-making and efficiency. METHODS:Forty-one patients with histologically proven endometrial cancer were included in this study. SRs and NSRs for local MRI staging of endometrial cancer were generated for all subjects. NSRs were generated during clinical routine practice. The same 41 uterine studies were reviewed by the same radiologist using structured reporting system after a period of time. Two radiologists compared SRs on the number of key features related to cancer staging and writing efficiency with NSRs together. Five gynecologists filled in questionnaires regarding satisfaction with content, clinical usefulness, report' quality and time consumption. Statistical analysis included Kendall's W test, paired-sample t test and Wilcoxon signed rank test. RESULTS:There was no significant difference in the number of key features in NSRs comparison to SRs (p = 0.055). A statistically significant difference was observed in the satisfaction with linguistic quality for NSRs versus SRs by three gynaecologists (reader 1: 4.02 vs. 4.63, p = 0.002; reader 3: 3.86 vs. 4.02, p = 0.035; reader 4: 4.05 vs. 4.27, p = 0.024). The radiologist spent less time finishing SRs compared with NSRs (727.22 ± 38.42 sec vs. 616.44 ± 60.00 sec, p = 0.037). CONCLUSIONS:The application of SRs significantly increased the value of female pelvic MRI reports by increasing radiologists' work efficiency and gynaecologists' satisfaction

Age-related morphometrics of normal adrenal glands based on deep learning-aided segmentation

Objective.This study aims to evaluate the morphometrics of normal adrenal glands in adult patients semiautomatically using a deep learning-based segmentation model.Materials and Methods.A total of 520 abdominal CT image series with normal findings, from January 1, 2016, to March 14, 2019, were retrospectively collected for the training of the adrenal segmentation model. Then, 1043 portal venous phase image series of inpatient contrast-enhanced abdominal CT examinations with normal adrenal glands were included for analysis and grouped by every 10-year gap. A 3D U-Net-based segmentation model was used to predict bilateral adrenal labels followed by manual modification of labels as appropriate. Quantitative parameters (volume, CT value, and diameters) of the bilateral adrenal glands were then analyzed.Results.In the study cohort aged 18–77 years old (554 males and 489 females), the left adrenal gland was significantly larger than the right adrenal gland [all patients, 2867.79 (2317.11–3499.89) mm3 vs. 2452.84 (1983.50–2935.18) mm3, P < 0.001]. Male patients showed a greater volume of bilateral adrenal glands than females in all age groups (all patients, left: 3237.83 ± 930.21 mm3 vs. 2646.49 ± 766.42 mm3, P < 0.001; right: 2731.69 ± 789.19 mm3 vs. 2266.18 ± 632.97 mm3, P = 0.001). Bilateral adrenal volume in male patients showed an increasing then decreasing trend as age increased that peaked at 38–47 years old (left: 3416.01 ± 886.21 mm3, right: 2855.04 ± 774.57 mm3).Conclusions.The semiautomated measurement revealed that the adrenal volume differs as age increases. Male patients aged 38–47 years old have a peaked adrenal volume

Automated quantification of retinal arteriovenous nicking from colour fundus images

Retinal arteriovenous nicking (AV nicking) is the phenomenon where the venule is compressed or decreases in its caliber at both sides of an arteriovenous crossing. Recent research suggests that retinal AVN is associated with hypertension and cardiovascular diseases such as stroke. In this article, we propose a computer method for assessing the severity level of AV nicking of an artery-vein (AV) crossing in color retinal images. The vascular network is first extracted using a method based on multi-scale line detection. A trimming process is then performed to isolate the main vessels from unnecessary structures such as small branches or imaging artefact. Individual segments of each vessel are then identified and the vein is recognized through an artery-vein identification process. A vessel width measurement method is devised to measure the venular caliber along its two segments. The vessel width measurements of each venular segment is then analyzed and assessed separately and the final AVN index of a crossover is computed as the most severity of its two segments. The proposed technique was validated on 69 AV crossover points of varying AV nicking levels extracted from retinal images of the Singapore Malay Eye Study (SiMES). The results show that the computed AVN values are highly correlated with the manual grading with a Spearman correlation coefficient of 0.70. This has demonstrated the accuracy of the proposed method and the feasibility to develop a computer method for automatic AV nicking detection. The quantitative measurements provided by the system may help to establish a more reliable link between AV nicking and known systemic and eye diseases, which deserves further examination and exploration