Objective:To explore the application of machine learning (ML) models based on radiomics and dosiomics to the assessment of hematologic toxicity (HT) in patients with locally advanced cervical cancer, and to preliminarily explore the comprehensive application of multi-omics features.Methods:A retrospective study was conducted on the clinical data, planning computed tomography (CT) images, and dose files of 205 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy at the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, from January 2022 to June 2023. Patients were categorized according to the severity of HT. Radiomics and dosiomics features were extracted from the same regions of interest (ROIs), followed by feature selection utilizing a random forest algorithm. Then, radiomics, dosiomics, and hybrid models were established based on extreme gradient boosting (XGBoost). The classification performance of these models was assessed by calculating their sensitivity, specificity, and area under the receiver operating characteristic curve (AUC).Results:The radiomics model yielded sensitivity, specificity, and AUC of 0.42, 0.86, and 0.78, respectively. The dosiomics model exhibited sensitivity, specificity, and AUC of 0.50, 0.90, and 0.74, respectively. In contrast, the hybrid model achieved sensitivity, specificity, and AUC of 0.50, 0.83, and 0.83, respectively. These findings suggest that the hybrid model possessed an enhanced classification capability compared to the individual radiomics and dosiomics models.Conclusions:It is feasible to use ML models based on radiomics and dosiomics to conduct the classification and prediction of HT in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy. Furthermore, integrating both radiomics features and dosiomics features can improve the classification performance of relevant prediction models, thus holding application potentials to optimize treatment strategies for patients with locally advanced cervical cancer.

Objective:To explore the application of machine learning (ML) models based on radiomics and dosiomics to the assessment of hematologic toxicity (HT) in patients with locally advanced cervical cancer, and to preliminarily explore the comprehensive application of multi-omics features.Methods:A retrospective study was conducted on the clinical data, planning computed tomography (CT) images, and dose files of 205 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy at the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, from January 2022 to June 2023. Patients were categorized according to the severity of HT. Radiomics and dosiomics features were extracted from the same regions of interest (ROIs), followed by feature selection utilizing a random forest algorithm. Then, radiomics, dosiomics, and hybrid models were established based on extreme gradient boosting (XGBoost). The classification performance of these models was assessed by calculating their sensitivity, specificity, and area under the receiver operating characteristic curve (AUC).Results:The radiomics model yielded sensitivity, specificity, and AUC of 0.42, 0.86, and 0.78, respectively. The dosiomics model exhibited sensitivity, specificity, and AUC of 0.50, 0.90, and 0.74, respectively. In contrast, the hybrid model achieved sensitivity, specificity, and AUC of 0.50, 0.83, and 0.83, respectively. These findings suggest that the hybrid model possessed an enhanced classification capability compared to the individual radiomics and dosiomics models.Conclusions:It is feasible to use ML models based on radiomics and dosiomics to conduct the classification and prediction of HT in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy. Furthermore, integrating both radiomics features and dosiomics features can improve the classification performance of relevant prediction models, thus holding application potentials to optimize treatment strategies for patients with locally advanced cervical cancer.

Clinical trials are an important method for evaluating the safety and efficacy of in vitro diagnostic reagents, and are a key basis for product registration review and approval. In order to strengthen the management of clinical trials of in vitro diagnostic reagents, the National Medical Products Administration and relevant departments have formulated a series of regulations at the regulatory level, and require applicants and clinical trial institutions to establish a quality management system for clinical trials of in vitro diagnostic reagents. Medical laboratory is the main department and implementer of in vitro diagnostic reagent clinical trials in medical institutions. In recent years, with the rapid development of the in vitro diagnostic industry, the clinical trial projects of in vitro diagnostic reagents conducted by medical laboratory have been increasing day by day. However, there are currently few discussions on the clinical trial of in vitro diagnostic reagents from the perspective of researchers. Therefore, this article summarizes the characteristics of clinical trials of in vitro diagnostic reagents, analyzes the problems and difficulties in conducting clinical trials of in vitro diagnostic reagents in current medical laboratories, and introduces the laboratory′s experience in management; to provide reference for medical testing laboratories that have not yet conducted or have already conducted clinical trials of in vitro diagnostic reagents, in order to improve the quality and efficiency of clinical trials.

Clinical trials are an important method for evaluating the safety and efficacy of in vitro diagnostic reagents, and are a key basis for product registration review and approval. In order to strengthen the management of clinical trials of in vitro diagnostic reagents, the National Medical Products Administration and relevant departments have formulated a series of regulations at the regulatory level, and require applicants and clinical trial institutions to establish a quality management system for clinical trials of in vitro diagnostic reagents. Medical laboratory is the main department and implementer of in vitro diagnostic reagent clinical trials in medical institutions. In recent years, with the rapid development of the in vitro diagnostic industry, the clinical trial projects of in vitro diagnostic reagents conducted by medical laboratory have been increasing day by day. However, there are currently few discussions on the clinical trial of in vitro diagnostic reagents from the perspective of researchers. Therefore, this article summarizes the characteristics of clinical trials of in vitro diagnostic reagents, analyzes the problems and difficulties in conducting clinical trials of in vitro diagnostic reagents in current medical laboratories, and introduces the laboratory′s experience in management; to provide reference for medical testing laboratories that have not yet conducted or have already conducted clinical trials of in vitro diagnostic reagents, in order to improve the quality and efficiency of clinical trials.

Objective:To investigate serum vitamin A and vitamin D status in children aged 2-<7 years in 20 cities in China.Methods:A cross-sectional study was conducted. A total of 2 924 healthy children aged 2-<7 years were recruited from September 2018 to September 2019 from 20 cities in China, categorized by age groups of 2-<3 years, 3-<5 years, and 5-<7 years. The demographic and economic characteristics and health-related information of the enrolled children were investigated. Body weight and height were measured by professional staff members. The serum vitamin A and vitamin D levels were detected by high-performance liquid chromatography-tandem mass spectrometry. Chi-square test and Logistic regression were applied to analyze the association between vitamin A and vitamin D deficiency and insufficiency as well as their underlying impact factors.Results:The age of the 2 924 enrolled children was 4.33 (3.42, 5.17) years. There were 1 726 males (59.03%) and 1 198 females (40.97%). The prevalences of vitamin A and vitamin D deficiency in enrolled children were 2.19% (64/2 924) and 3.52% (103/2 924), respectively, and the insufficiency rates were 29.27% (856/2 924) and 22.20% (649/2 924), respectively. Children with both vitamin A and vitamin D deficiencies or insufficiencies were found in 10.50% (307/2 924) of cases. Both vitamin A ( χ2=7.91 and 8.06, both P=0.005) and vitamin D ( χ2=71.35 and 115.10, both P<0.001) insufficiency rates were higher in children aged 3-<5 and 5-<7 years than those in children aged 2-<3 years. Vitamin A and vitamin D supplementation in the last 3 months was a protective factor for vitamin A and D deficiency and insufficiency, respectively ( OR=0.68 and 0.22, 95% CI 0.49-0.95 and 0.13-0.40, both P<0.05). The rates of vitamin A and D insufficiency was higher in children with annual household incomes <60 000 RMB than in those with annual household incomes ≥60 000 RMB ( χ2=34.11 and 10.43, both P<0.01). Northwest and Southwest had the highest rates of vitamin A and vitamin D insufficiency in children aged 2-<7 yeas, respectively ( χ2=93.22 and 202.54, both P<0.001). Conclusions:Among 20 cities in China, children aged 2-<7 years experience high rates of vitamin A and vitamin D insufficiency, which are affected by age, family economic level, vitamin A and vitamin D supplementation, and regional economic level. The current results suggest that high level of attention should be paid to vitamin A and vitamin D nutritional status of preschool children.

As resident immune cells of central nervous system(CNS),microglia play a key role in immune surveillance and tissue repair.They can be activated by various types of pathological factors to form M1 or M2 phenotype,which mediates neuroinflam-mation or neuroprotective effects.At the same time,when the homeostasis of the microenvironment in which the neuron is located is broken,"signal"molecules are also released to induce microglial activation through ligand-receptor binding.Therefore,the regulation of microglia-neuron connection is of great significance for treatment of nervous system diseases.This article reviews the signaling mole-cules involved in the two-way interaction between microglial cells and neurons,and elucidates the immune mechanisms of microglia-neuron,thus providing a basis for targeted treatment of CNS diseases related to microglia activation.

Three different preclinical evaluation methods of MTF through-frequency response, MTF through-focus-response and expected visual acuity were used to compare and analyze the imaging differences of IOLs with four different optical designs. The research work could be used in the simultaneous vision IOLs in the optical design stage and verify the optical quality of the IOLs, the results can predict the visual representation of the patients better. The evaluation results can provide reference for IOL manufacturers and users in product design, development, validation and application selection.
Humans ; Prosthesis Design ; Lenses, Intraocular ; Vision, Ocular ; Visual Acuity

The study explored the methods of determining the diameter of clear optic of intraocular lenses by analyzing the design principles and influencing factors of clear optic. Measure and compare the clear optic diameters of intraocular lenses from -10.0 D to 36.0 D respectively. The measurement results of the two methods have good consistency and can be used in the measurement of clear optic. But considering the accuracy and convenience of actual measurement, profile projector measurement principle is more suitable for conventional mass production testing. The Schlieren technique method can provide more useful information in product development and feature description stage, and can be used as an auxiliary verification method for clear optic diameter measurement.
Eye ; Lenses, Intraocular ; Optics and Photonics ; Prosthesis Design

Objective: This study aims to explore factors associated with parental mediation of children’s vision care and digital technology use. Methods: By using a probabilityproportionate sampling method, a total of 3 249 parents of junior primary school students completed the selfadministered questionnaire in second semester of 2018 from Taipei and Pingtung. Results: Parents had moderate scores in children’s vision care beliefs, selfefficacy and parental mediation. Children spent an average of 7 hours on digital technology use per week. Multiple regression analysis results showed that parents who had intact family, not providing children with personal digital technology devices, spent less time in digital technology devices, and had higher levels of vision care beliefs, higher mediation efficacy, and more cues to action were more likely to have higher levels of vision care mediation behaviors. Whereas children who were at senior grades, low household income, from nonintact families, owned personal digital technology devices, whose parents spent more time using digital technology devices and implementing low levels of parental mediation were more likely to spend more time using digital technology devices. Conclusion Schools and communities could provide more parental training and parentchild colearning opportunities to enhance parental mediation of children’s vision care behavior and reduce excessive digital technology use.

Objective To investigate the expression level of hypoxia-inducible factor-lot (HIF-1ot) in gastric cancer and its relationship with clinicopathological characteristics and prognosis of patients with gastric cancer.Methods From March 3,2011 to September 28,2012,49 patients with gastric adenocarcinoma tissue chips were selected from pathology department of our hospital.They were matched with paracancerous tissues.The expression levels of HIF-1α were measured by immunohistochemistry method in gastric cancer tissues and paracancerous tissues chips.Kaplan-Meier was used to evaluate the progression-free survival (PFS) and overall survival (OS),and the Cox proportional hazards model was used to analyze whether HIF-1α was a prognostic factor.Results The high expression rate of HIF-1α protein in gastric cancer was significantly higher than that in paired para-carcinoma group (42.9％ vs.4.1％,x2 =20.509,P ＜ 0.001).The expression of HIF-1 α protein was related to TNM stage (x2 =4.601,P =0.032),vascular invasion (x2 =6.766,P =0.009) and degree of differentiation (x2 =7.969,P =0.005).Compared with patients with low expression of HIF-1α,the median PFS (16.2 months vs.27.3 months) and median OS (34.8 months vs.43.8 months) were shorter in the patients with high expression of HIF-1 α,and the differences were statistically significant (median PFS:x2 =4.661,P =0.002;median OS:x2 =6.903,P =0.009).The results of single factor analysis showed that overexpre-ssion of HIF-1α was correlated with PFS and OS (PFS:HR =4.461,95％ CI:1.969-10.802,P ＜0.001;OS:HR =3.109,95％CI:1.274-7.588,P =0.013).The results of Cox multivariate analysis showed that overexpression of HIF-1α was the independent risk factor that affected the survival and prognosis of patients with gastric cancer (PFS:HR =4.747,95％ CI:2.175-10.230,P ＜0.001;OS:HR =3.171,95％ CI:1.358-7.404,P =0.008).Conclusion The high expression rate of HIF-1α protein in gastric cancer tissues is significantly higher than that in paracancerous tissues.The expression of HIF-1α is associated with TNM stage,vascular invasion,degree of differentiation in patients with gastric cancer.The high expression of HIF-1α is associa-ted with the shorter median OS and PFS.The high expression of HIF-1α is an independent risk factor for the survival and prognosis of patients with gastric cancer,which is expected to be an independent marker of poor prognosis.