Gastric Cancer Staging with Dual Energy Spectral CT ImagingPURPOSE: To evaluate the clinical utility of dual energy spectral CT (DEsCT) in staging and characterizing gastric cancers. MATERIALS AND METHODS: 96 patients suspected of gastric cancers underwent dual-phasic scans (arterial phase (AP) and portal venous phase (PP)) with DEsCT mode. Three types of images were reconstructed for analysis: conventional polychromatic images, material-decomposition images, and monochromatic image sets with photon energies from 40 to 140 keV. The polychromatic and monochromatic images were compared in TNM staging. The iodine concentrations in the lesions and lymph nodes were measured on the iodine-based material-decomposition images. These values were further normalized against that in aorta and the normalized iodine concentration (nIC) values were statistically compared. Results were correlated with pathological findings. RESULTS: The overall accuracies for T, N and M staging were (81.2%, 80.0%, and 98.9%) and (73.9%, 75.0%, and 98.9%) determined with the monochromatic images and the conventional kVp images, respectively. The improvement of the accuracy in N-staging using the keV images was statistically significant (p<0.05). The nIC values between the differentiated and undifferentiated carcinoma and between metastatic and non-metastatic lymph nodes were significantly different both in AP (p = 0.02, respectively) and PP (p = 0.01, respectively). Among metastatic lymph nodes, nIC of the signet-ring cell carcinoma were significantly different from the adenocarcinoma (p = 0.02) and mucinous adenocarcinoma (p = 0.01) in PP. CONCLUSION: The monochromatic images obtained with DEsCT may be used to improve the N-staging accuracy. Quantitative iodine concentration measurements may be helpful for differentiating between differentiated and undifferentiated gastric carcinoma, and between metastatic and non-metastatic lymph nodes.
Evaluation of dual energy spectral CT in differentiating metastatic from non-metastatic lymph nodes in rectal cancer: Initial experienceHuanhuan Liu, Fuhua Yan, Zilai Pan et al.|European Journal of Radiology|2014 Investigation of the relationship between hot flashes, sweating and sleep quality in perimenopausal and postmenopausal women: the mediating effect of anxiety and depressionQian Zhou, Baisong Wang, Hua Qi et al.|BMC Women s Health|2021 BACKGROUND: To investigate the relationship between sweating from hot flashes, anxiety, depression, and sleep quality in peri- and postmenopausal women. And also the role of anxiety and depression in mediating sweating from hot flashes and sleep quality. METHODS: 467 women aged 40-60 years with menopausal problems were enrolled. The sleep quality; hot flashes; sweating; anxiety and depression symptoms were quantitatively evaluated by Pittsburgh Sleep Quality Scale (PSQI), Kupperman Menopause Index, Self-rating Anxiety Scale and Self-rating Depression Scale. Spearman correlation analysis and mediating effect model were used to analyze the relationship between the three. RESULTS: 262 patients' PSQI score were higher than 6 (58.2%). Total scores of sleep quality were positively correlated with hot flashes, sweating and anxiety and depression symptoms. Anxiety and depression played a mediating role between hot flashes, sweating and sleep quality where the mediating effect of anxiety symptoms accounted for 17.86% (P < 0.01) and depression symptoms accounted for 5.36% (P < 0.01). CONCLUSIONS: The hot flashes, sweating, anxiety and depression of peri/postmenopausal women are risk factors affecting sleep quality. By alleviating these risk factors, the sleep quality of peri- and postmenopausal women could be improved, which prevents the physical and mental diseases due to long-term severe insomnia.
Genome‐wide mediation analysis of psychiatric and cognitive traits through imaging phenotypesXuan Bi, Liuqing Yang, Tengfei Li et al.|Human Brain Mapping|2017 Heritability is well documented for psychiatric disorders and cognitive abilities which are, however, complex, involving both genetic and environmental factors. Hence, it remains challenging to discover which and how genetic variations contribute to such complex traits. In this article, they propose to use mediation analysis to bridge this gap, where neuroimaging phenotypes were utilized as intermediate variables. The Philadelphia Neurodevelopmental Cohort was investigated using genome-wide association studies (GWAS) and mediation analyses. Specifically, 951 participants were included with age ranging from 8 to 21 years. Two hundred and four neuroimaging measures were extracted from structural magnetic resonance imaging scans. GWAS were conducted for each measure to evaluate the SNP-based heritability. Furthermore, mediation analyses were employed to understand the mechanisms in which genetic variants have influence on pathological behaviors implicitly through neuroimaging phenotypes, and identified SNPs that would not be detected otherwise. Our analyses found that rs10494561, located in the intron region within NMNAT2, was associated with the severity of the prodromal symptoms of psychosis implicitly, mediated through the volume of the left hemisphere of the superior frontal region ( P=2.38×10-8). The gene NMNAT2 is known to be associated with brainstem degeneration, and produce cytoplasmic enzyme which is mainly expressed in the brain. Another SNP rs2285351 was found in the intron region of gene IFT122 which may be potentially associated with human spatial orientation ability through the area of the left hemisphere of the isthmuscingulate region ( P=3.70×10-8). Hum Brain Mapp 38:4088-4097, 2017. © 2017 Wiley Periodicals, Inc.
Analysis of cognitive dysfunction with silent cerebral infarction: a prospective study in Chinese patientsJian Zhao, Huidong Tang, Jialan Sun et al.|Metabolic Brain Disease|2011