Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
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Question: Context: The aim of this study was to evaluate how closely analysis of bone quality performed using the bone mineral density (BMD) values obtained by quantitative computerized tomography (QCT) reflected the histologic bone density.', "Eighteen patients requiring implant therapy underwent CT scanning. Their data were processed using Image Master software, and the BMD was calculated by measuring the Hounsfield units and relating those values to a phantom (Calibration Phantom, Quantitative Technologies). Each patient wore a radiographic-surgical template in which titanium cylinders were placed as a drilling guide for preparation of the implant site. The mouth regions where the titanium guides were placed (on the CT images and in the patient's mouth) corresponded to the implant sites where the BMD was measured and where tissue specimens for histomorphometric analysis retrieved. Forty specimens measuring 6 mm in length and 2 mm in diameter were obtained. Histomorphometric analysis was performed by digitizing the images, which were subsequently analyzed using the image analysis software IAS 2000. The bone volume (BV) was calculated as a percentage by dividing the area occupied by the mineralized bone over the entire microscopic field.", 'The results of the statistical analysis showed a Pearson correlation coefficient of 0.691 between the BV and BMD values, with a P value < 0.01, which was considered significant.
Answer: The results of this study support the use of QCT to assess the bone quality before implant placement to improve the planning of implant treatment.

Answer: Are bone mineral density and bone histomorphometry statistically related?

Question: Context: Endometrial cancers (ECs) are the most common form of gynecologic malignancy. Recent studies have reported that ECs reveal distinct markers for molecular pathogenesis, which in turn is linked to the various histological types of ECs. To understand further the molecular events contributing to ECs and endometrial tumorigenesis in general, a more precise identification of cancer-associated molecules and signaling networks would be useful for the detection and monitoring of malignancy, improving clinical cancer therapy, and personalization of treatments.', 'ECs-specific gene co-expression networks were constructed by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Important pathways and putative cancer hub genes contribution to tumorigenesis of ECs were identified. An elastic-net regularized classification model was built using the cancer hub gene signatures to predict the phenotypic characteristics of ECs. The 19 cancer hub gene signatures had high predictive power to distinguish among three key principal features of ECs: grade, type, and stage. Intriguingly, these hub gene networks seem to contribute to ECs progression and malignancy via cell-cycle regulation, antigen processing and the citric acid (TCA) cycle.
Answer: The results of this study provide a powerful biomarker discovery platform to better understand the progression of ECs and to uncover potential therapeutic targets in the treatment of ECs. This information might lead to improved monitoring of ECs and resulting improvement of treatment of ECs, the 4th most common of cancer in women.

Answer: Does visual gene-network analysis reveal the cancer gene co-expression in human endometrial cancer?

Question: Context: To test our hypothesis that lower intakes of previously identified cardioprotective nutrients would be associated with the coronary epidemic in Central and Eastern Europe.', 'We conducted a survey of coronary mortality in 16 countries and diet in 19 countries.', 'Countries were placed in four groups with different cultural patterns (Central and Eastern Europe, including Russia; Western Europe and the United States; Mediterranean; and Asian).', 'Independent predictors of coronary mortality.', 'Means and standard deviations were calculated, and analysis of variance with Bonferroni post hoc tests and backward elimination regression analysis was conducted.', 'Coronary mortality was highest in Central and Eastern Europe followed by Western Europe and the United States, the Mediterranean countries, and Asia (Japan). The model with folate, fiber, and n-6/n-3 fatty acids explained the majority of variation in coronary mortality (men 86%, women 90%). Most of the variation was explained by folate (men 61%, women 62%). The picture is complicated by the fact that folate, lutein/zeaxanthin, and beta-carotene were highly intercorrelated ( r =0.87 to 0.99).
Answer: A diet low in foods containing folate and carotenoids (beta-carotene and lutein/zeaxanthin) may be a major contributing factor to increased coronary risk observed in the countries of Central and Eastern Europe.

Answer:
Are diets lower in folic acid and carotenoids associated with the coronary disease epidemic in Central and Eastern Europe?