Background and purpose:16α-[18F]lfuoroestradiol (18F-FES) is an in vivo speciifc imaging agent for estrogen receptor (ER). We investigated the concordance between tumor ER status as determined by FES-PET and in vitro immunohistochemical assays. Methods: 18F-FES was prepared by ourselves. Twenty-six patients were enrolled (17 primary and 9 metastatic/recurrent). Patients underwent both 18F-FES and 18F-FDG PET/CT. Results:We found good overall agreement (96.15%) between in vitro ER assays and FES-PET. The ER status diagnosis sensitivity of 18F-FES was 93.33%and the speciifcity was 100%when using cut-off value of SUVmax≥1.5. There was a positive correlation between in vitro ER, PR assays and the SUVmax of 18F-FES while in vitro HER-2/neu assays correlatived negatively with 18F-FES SUVmax. Conclusion:These results suggested 18F-FES may be useful for studying the ER expression of all malignant lesions in patients with breast cancer and guiding individual therapy.

Objective:To explore the mediating role of self-control in the relationship between alexithymia and internet addiction.Methods:From August to September 2019, a total of 433 college students were selected from three universities in Jiangxi province by cluster random sampling method. The Chinese internet addiction scale-revised, the twenty-item Toronto alexithymia scale and brief self-control scale were used for questionnaire testing. SPSS 23.0 software was used for descriptive statistics, Pearson correlation analysis and PROCESS V3.5 macro program was used to test the mediating effect.Results:The total scores of alexithymia, internet addiction and self-control were (53.61±9.44), (45.31±9.84) and (41.91±6.09), respectively. Pearson correlation analysis showed that alexithymia was significantly positively correlated with internet addiction ( r=0.47, P<0.01), and significantly negatively correlated with self-control ( r=-0.37, P<0.01). The negative correlation between self-control and internet addiction was significant ( r=-0.46, P<0.01). Multivariate hierarchical regression analysis showed that alexithymia directly predicted internet addiction after controlling the influence of gender. Self-control played a partially mediating role in the relationship between alexithymia and internet addiction (effect size=0.13, 95% CI: 0.082-0.185), the mediating effect accounted for 25% of the total effect. Conclusion:Alexithymia not only directly affects college students′ internet addiction, but also indirectly affects college students′ internet addiction through self-control.

BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use. METHODS: Four hundred fourteen patients with rectal cancer discharged between January 2013 and March 2015 were collected from 6 clinical centers, and the magnetic resonance imaging data for pelvic metastatic LNs of each patient was identified by Faster R-CNN. Faster R-CNN based diagnoses were compared with radiologist based diagnoses and pathologist based diagnoses for methodological verification, using correlation analyses and consistency check. For clinical verification, the patients were retrospectively followed up by telephone for 36 months, with post-operative recurrence of rectal cancer as a clinical outcome; recurrence-free survivals of the patients were compared among different diagnostic groups, by methods of Kaplan-Meier and Cox hazards regression model. RESULTS: Significant correlations were observed between any 2 factors among the numbers of metastatic LNs separately diagnosed by radiologists, Faster R-CNN and pathologists, as evidenced by rradiologist-Faster R-CNN of 0.912, rPathologist-radiologist of 0.134, and rPathologist-Faster R-CNN of 0.448 respectively. The value of kappa coefficient in N staging between Faster R-CNN and pathologists was 0.573, and this value between radiologists and pathologists was 0.473. The 3 groups of Faster R-CNN, radiologists and pathologists showed no significant differences in the recurrence-free survival time for stage N0 and N1 patients, but significant differences were found for stage N2 patients. CONCLUSION: Faster R-CNN surpasses radiologists in the evaluation of pelvic metastatic LNs of rectal cancer, but is not on par with pathologists. TRIAL REGISTRATION www.chictr.org.cn (No. ChiCTR-DDD-17013842).
Adult ; Aged ; Aged, 80 and over ; Artificial Intelligence ; Female ; Humans ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasm Staging ; Neural Networks (Computer) ; Pathologists ; Radiologists ; Rectal Neoplasms ; diagnostic imaging ; mortality ; pathology