1.Craniopharyngiomas : Radiological Differentiation of Two Types.
In Ho LEE ; Elcin ZAN ; W Robert BELL ; Peter C BURGER ; Heejong SUNG ; David M YOUSEM
Journal of Korean Neurosurgical Society 2016;59(5):466-470
OBJECTIVE: To determine imaging features that may separate adamantinomatous and papillary variants of craniopharyngiomas given that tumors with adamantinomatous signature features are associated with higher recurrence rates, morbidity, and mortality. We specifically reviewed calcification on CT, T1 bright signal intensity, and cystic change on T2 weighted images for differentiating these two types. METHODS: We retrospectively reviewed the MRI and CT studies in 38 consecutive patients with pathologically proven craniopharyngiomas between January 2004 and February 2014 for the presence of calcification on CT scans, bright signal intensity on T1 weighted images, and cystic change on T2 weighted images. RESULTS: Of the 38 craniopharyngiomas, 30 were adamantinomatous type and 8 were papillary type. On CT scans, calcification was present in 25 of 38 tumors. All calcified tumors were adamantinomatous type. Twenty four of 38 tumors had bright signal intensity on T1 weighted images. Of these 24 tumors, 22 (91.7%) were adamantinomatous and 2 were papillary type. Cystic change on T2 weighted images was noted in 37 of 38 tumors; only 1 tumor with papillary type did not show cystic change. CONCLUSION: T1 bright signal intensity and calcification on CT scans uniformly favor the adamantinomatous type over papillary type of craniopharyngioma in children. However, these findings are more variable in adults where calcification and T1 bright signal intensity occur in 70.6% and 58.8% respectively of adult adamantinomatous types of craniopharyngiomas.
Adult
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Child
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Craniopharyngioma*
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Humans
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Magnetic Resonance Imaging
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Mortality
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Recurrence
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Retrospective Studies
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Tomography Scanners, X-Ray Computed
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Tomography, X-Ray Computed
2.Carotenoids and total phenolic contents in plant foods commonly consumed in Korea.
Gun Ae YOON ; Kyung Jin YEUM ; Yoon Suk CHO ; C Y Oliver CHEN ; Guangwen TANG ; Jeffrey B BLUMBERG ; Robert M RUSSELL ; Sun YOON ; Yang Cha LEE-KIM
Nutrition Research and Practice 2012;6(6):481-490
Phytochemicals are reported to provide various biological functions leading to the promotion of health as well as the reduced risk of chronic diseases. Fat-soluble plant pigments, carotenoids, are extensively studied micronutrient phytochemicals for their potential health benefits. It is noteworthy that specific carotenoids may be responsible for different protective effects against certain diseases. In addition, each carotenoid can be obtained from different types of plant foods. Considering the fact that the phytochemical content in foods can vary according to, but not limited to, the varieties and culture conditions, it is important to establish a database of phytochemicals in locally produced plant foods. Currently, information on individual carotenoid content in plant foods commonly consumed in Korea is lacking. As the first step to support the production and consumption of sustainable local plant foods, carotenoids and total phenolic contents of plant foods commonly consumed in Korea are presented and their potential biological functions are discussed in this review.
Carotenoids
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Chronic Disease
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Health Promotion
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Insurance Benefits
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Korea
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Micronutrients
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Phenol
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Plants
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Resin Cements
3.Translation: Non-HDL Cholesterol Shows Improved Accuracy for Cardiovascular Risk Score Classification Compared to Direct or Calculated LDL Cholesterol in a Dyslipidemic Population.
Hendrick E VAN DEVENTER ; W Greg MILLER ; Gary L MYERS ; Ikunosuke SAKURABAYASHI ; Lorin M BACHMANN ; Samuel P CAUDILL ; Andrzej DZIEKONSKI ; Selvin EDWARDS ; Mary M KIMBERLY ; William J KORZUN ; Elizabeth T LEARY ; Katsuyuki NAKAJIMA ; Masakazu NAKAMURA ; Robert D SHAMBUREK ; George W VETROVEC ; G Russell WARNICK ; Alan T REMALEY
Laboratory Medicine Online 2011;1(3):121-131
BACKGROUND: Our objective was to evaluate the accuracy of cardiovascular disease (CVD) risk score classification by direct LDL cholesterol (dLDL-C), calculated LDL cholesterol (cLDL-C), and non-HDL cholesterol (non-HDL-C) compared to classification by reference measurement procedures (RMPs) performed at the CDC. METHODS: Weexamined 175 individuals, including 138 with CVD or conditions that may affect LDL-C measurement. dLDL-C measurements were performed using Denka, Kyowa, Sekisui, Serotec, Sysmex, UMA, and Wako reagents. cLDL-C was calculated by the Friedewald equation, using each manufacturer's direct HDL-C assay measurements, and total cholesterol and triglyceride measurements by Roche and Siemens (Advia) assays, respectively. RESULTS: For participants with triglycerides <2.26 mmol/L (<200 mg/dL), the overall misclassification rate for the CVD risk score ranged from 5% to 17% for cLDL-C methods and 8% to 26% for dLDL-C methods when compared to the RMP. Only Wako dLDL-C had fewer misclassifications than its corresponding cLDL-C method (8% vs 17%; P<0.05). Non-HDL-C assays misclassified fewer patients than dLDL-C for 4 of 8 methods (P<0.05). For participants with triglycerides > or =2.26 mmol/L (> or =200 mg/dL) and <4.52 mmol/L (<400 mg/dL), dLDL-C methods, in general, performed better than cLDL-C methods, and non-HDL-C methods showed better correspondence to the RMP for CVD risk score than either dLDL-C or cLDL-C methods. CONCLUSIONS: Except for hypertriglyceridemic individuals, 7 of 8 dLDL-C methods failed to show improved CVD risk score classification over the corresponding cLDL-C methods. Non-HDL-C showed overall the best concordance with the RMP for CVD risk score classification of both normal and hypertriglyceridemic individuals.
Cardiovascular Diseases
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Cholesterol
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Cholesterol, LDL
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Humans
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Indicators and Reagents
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Triglycerides