Congenital orofacial cleft, the most common birth defect in the maxillofacial region, exhibits a wide range of prognosis depending on the severity of deformity and underlying etiology. Non-syndromic congenital orofacial clefts typically present with milder deformities and more favorable treatment outcomes, whereas syndromic congenital orofacial clefts often manifest with concomitant organ abnormalities, which pose greater challenges for treatment and result in poorer prognosis. This consensus provides an elaborate classification system for varying degrees of orofacial clefts along with corresponding diagnostic and therapeutic guidelines. Results serve as a crucial resource for families to navigate prenatal screening results or make informed decisions regarding treatment options while also contributing significantly to preventing serious birth defects within the development of population.
Humans ; Cleft Lip/diagnosis* ; Cleft Palate/diagnosis* ; Consensus ; Prenatal Diagnosis ; Female

Objective:To investigate the structural changes in the spinal cord in multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) and their relationship with clinical disability.Methods:This study was cross-sectional. A retrospective analysis of clinical and imaging data from 124 patients with MS (MS group), 101 patients with aquaporin-4 antibody-positive NMOSD (NMOSD group), and 110 healthy controls (HC group) from seven medical centers were conducted from January 2018 to October 2021. All subjects underwent 3D T 1WI, and the upper cervical spinal cord cross-sectional area (MUCCA) was segmented and measured. All patients completed the expanded disability status scale (EDSS) assessments at baseline and during follow-up, as well as the baseline 25-foot walk test (T25FW) and the nine-hole peg test (NHPT). Patients were classified into EDSS progression and non-progression groups based on follow-up EDSS scores. Comparisons of MUCCA among the three groups were conducted using analysis of covariance, controlling for age and sex as covariates. Pairwise comparisons between groups were performed using the HSD test. Univariate linear regression and logistic models were employed to identify candidate predictors of baseline clinical disability status or EDSS progression in the MS and NMOSD groups. L1 regularized multivariable linear regression analysis was used to determine independent predictors of baseline clinical disability status or EDSS progression. Independent predictors were then combined to establish a logistic regression model, and the model′s performance in predicting EDSS progression was evaluated using receiver operating characteristic analysis and the area under the curve (AUC). Results:A total of 144 patients completed follow-up EDSS assessments, with a follow-up duration of 3.30 (1.10, 6.42) years, including 82 patients in the MS group and 62 patients in the NMOSD group. Controlling for sex and age as covariates, the overall difference in MUCCA among the MS, NMOSD, and HC groups was statistically significant ( P=0.001). The MUCCA in the MS group was lower than that in the HC group, with a significant difference ( t=-2.54, P=0.007); the MUCCA in the NMOSD group was also lower than that in the HC group, with a significant difference ( t=-2.80, P=0.002). However, the difference in MUCCA between the MS and NMOSD groups was not statistically significant ( t=-0.40, P=0.882). In the MS group, MUCCA was an independent predictor of baseline EDSS score (β=-0.03), baseline T25FW score (β=-0.09), and baseline NHPT score (β=-0.30). In the NMOSD group, MUCCA (β=-0.08), age (β=0.06), and baseline EDSS score (β=-0.43) were independent predictors of EDSS progression, and the logistic regression model incorporating these three factors predicted EDSS progression with an AUC of 0.82. Conclusions:Significant spinal cord atrophy occurs in patients with both MS and NMOSD. Atrophy of the upper cervical spinal cord can predict the degree of disability in MS patients and the progression of clinical disability in NMOSD patients.

Objective:To implement an overview of systematic reviews on the effects of brain-computer interface training on upper limb functional rehabilitation in stroke patients.Methods:The systematic review/Meta-analysis of the effect of brain-computer interface training on upper limb functional rehabilitation in stroke patients was electronically retrieved in PubMed, Web of Science, Cochrane Library, Embase, CINAHL, Embase, Joanna Briggs Institute Evidence-Based Health Care Center Database, China National Knowledge Infrastructure, Wanfang Data, VIP and China Biology Medicine disc. The search period was from database establishment to November 2024. Two researchers independently performed literature screening and data extraction and evaluated the quality of methodology, reporting, and evidence.Results:A total of 14 systematic reviews/Meta-analyses were included. The results showed that brain-computer interface training helped to improve upper limb motor function, muscle strength and activities of daily living in stroke patients, but the rehabilitative effect on muscle spasm needed to be further confirmed.Conclusions:Brain-computer interface training helps to improve upper limb motor function, muscle strength and activities of daily living in stroke patients. However, the methodological quality and reporting quality of the current studies are poor, and there is still a need for high-quality studies with rigorous design and standardized process to provide reference for clinical practice.

Objective:To investigate the structural changes in the spinal cord in multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) and their relationship with clinical disability.Methods:This study was cross-sectional. A retrospective analysis of clinical and imaging data from 124 patients with MS (MS group), 101 patients with aquaporin-4 antibody-positive NMOSD (NMOSD group), and 110 healthy controls (HC group) from seven medical centers were conducted from January 2018 to October 2021. All subjects underwent 3D T 1WI, and the upper cervical spinal cord cross-sectional area (MUCCA) was segmented and measured. All patients completed the expanded disability status scale (EDSS) assessments at baseline and during follow-up, as well as the baseline 25-foot walk test (T25FW) and the nine-hole peg test (NHPT). Patients were classified into EDSS progression and non-progression groups based on follow-up EDSS scores. Comparisons of MUCCA among the three groups were conducted using analysis of covariance, controlling for age and sex as covariates. Pairwise comparisons between groups were performed using the HSD test. Univariate linear regression and logistic models were employed to identify candidate predictors of baseline clinical disability status or EDSS progression in the MS and NMOSD groups. L1 regularized multivariable linear regression analysis was used to determine independent predictors of baseline clinical disability status or EDSS progression. Independent predictors were then combined to establish a logistic regression model, and the model′s performance in predicting EDSS progression was evaluated using receiver operating characteristic analysis and the area under the curve (AUC). Results:A total of 144 patients completed follow-up EDSS assessments, with a follow-up duration of 3.30 (1.10, 6.42) years, including 82 patients in the MS group and 62 patients in the NMOSD group. Controlling for sex and age as covariates, the overall difference in MUCCA among the MS, NMOSD, and HC groups was statistically significant ( P=0.001). The MUCCA in the MS group was lower than that in the HC group, with a significant difference ( t=-2.54, P=0.007); the MUCCA in the NMOSD group was also lower than that in the HC group, with a significant difference ( t=-2.80, P=0.002). However, the difference in MUCCA between the MS and NMOSD groups was not statistically significant ( t=-0.40, P=0.882). In the MS group, MUCCA was an independent predictor of baseline EDSS score (β=-0.03), baseline T25FW score (β=-0.09), and baseline NHPT score (β=-0.30). In the NMOSD group, MUCCA (β=-0.08), age (β=0.06), and baseline EDSS score (β=-0.43) were independent predictors of EDSS progression, and the logistic regression model incorporating these three factors predicted EDSS progression with an AUC of 0.82. Conclusions:Significant spinal cord atrophy occurs in patients with both MS and NMOSD. Atrophy of the upper cervical spinal cord can predict the degree of disability in MS patients and the progression of clinical disability in NMOSD patients.

Objective:To implement an overview of systematic reviews on the effects of brain-computer interface training on upper limb functional rehabilitation in stroke patients.Methods:The systematic review/Meta-analysis of the effect of brain-computer interface training on upper limb functional rehabilitation in stroke patients was electronically retrieved in PubMed, Web of Science, Cochrane Library, Embase, CINAHL, Embase, Joanna Briggs Institute Evidence-Based Health Care Center Database, China National Knowledge Infrastructure, Wanfang Data, VIP and China Biology Medicine disc. The search period was from database establishment to November 2024. Two researchers independently performed literature screening and data extraction and evaluated the quality of methodology, reporting, and evidence.Results:A total of 14 systematic reviews/Meta-analyses were included. The results showed that brain-computer interface training helped to improve upper limb motor function, muscle strength and activities of daily living in stroke patients, but the rehabilitative effect on muscle spasm needed to be further confirmed.Conclusions:Brain-computer interface training helps to improve upper limb motor function, muscle strength and activities of daily living in stroke patients. However, the methodological quality and reporting quality of the current studies are poor, and there is still a need for high-quality studies with rigorous design and standardized process to provide reference for clinical practice.

Objective:To develop an intervention program for symptom clusters in children with acute lymphoblastic leukemia (ALL) during the consolidation and reinforcement phase based on symptom management theory from a sociopsychological perspective.Methods:An initial draft of the intervention program for symptom clusters in children with ALL during the consolidation and reinforcement phase was prepared through literature review and group discussions. Purposeful sampling was used to select 20 experts as respondents for a Delphi method consultation. After two rounds of expert consultations, adjustments and improvements were made to the relevant indicators, resulting in the final version of the intervention program.Results:The effective response rates for the two rounds of expert consultations were 80% (16/20) and 100% (20/20), respectively. The authority coefficients for the experts were 0.816 and 0.838, while the Kendall's coordination coefficients were 0.207 and 0.397 ( P<0.01 for both rounds). The final intervention program comprised 3 primary items, 7 secondary items, and 27 tertiary items. Conclusions:The intervention program for symptom clusters in children with ALL during the consolidation and reinforcement phase, developed from a sociopsychological perspective, demonstrates scientific validity, reliability, and feasibility. It can offer guidance and reference for symptom management in children with ALL.

The molecular pathological indicators play a key role in diagnosis and treatment of diffuse glioma(DG).Rapidly developed artificial intelligence(AI)technology had provided an objective and non-invasive tool for predicting molecular pathology and prognosis of DG.The research progresses of MRI combined with AI technology for predicting important molecular pathology of DG were reviewed in this article.

Objective:To investigate the feasibility and clinical diagnostic value of rapid arterial spin labeling (ASL) imaging in brain glioma.Methods:Patients with glioma admitted to Beijing Tiantan Hospital, Capital Medical University from May 2021 to December 2022 were prospectively enrolled. All patients received MR rapid ASL (scan time: 1 min) and conventional ASL (scan time: 4 min 30 s), where the cerebral blood flow (CBF) perfusion maps were obtained. The qualitative analysis of CBF signal intensity and quantitative analysis of average CBF values from both tumor solid and edema regions were conducted by two radiologists independently. Kappa test and intraclass correlation coefficient ( ICC) were used to analyze the consistency of qualitative and quantitative results, respectively. Results:A total of 30 patients with brain glioma were included. The 2 physicians used rapid ASL to determine low perfusion, isoperfusion, and hyperperfusion in the tumor area in 1, 6, 23 cases and 0, 5, and 25 cases, respectively; and used conventional ASL to determine low perfusion, isoperfusion, and hyperperfusion in the tumor area in 0, 9, and 21 cases, respectively. The results of qualitative analysis of rapid ASL and conventional ASL were highly consistent within and between groups ( Kappa was 0.830 and 0.850 respectively). The results of quantitative analysis of rapid ASL and conventional ASL were highly consistent within and between groups ( ICC 0.940—0.994). Conclusion:Rapid ASL with shorter scanning time could be applied in assessing tissue perfusion in brain glioma and contribute to the clinical diagnosis of gliomas.

Objective:To investigate the clinical and imaging differences between serum aquaporin 4 (AQP4) antibody positive and negative patients with neuromyelitis optica spectrum disorder (NMOSD).Methods:The clinical data and radiologic findings of 89 NMOSD patients diagnosed at Beijing Tiantan Hospital, Capital Medical University from January 2018 to June 2022 were retrospectively analyzed. There were 17 male cases and 72 female cases, aged 18-74 years. According to the results of serum AQP4 antibody test, the patients were divided into AQP4 antibody positive group and AQP4 antibody negative group, and the differences in clinical data, lesion distribution, lesion characteristics, and brain area volume between the 2 groups were compared using independent sample t-test and χ 2 test, and the correlation between brain area volume and expanded disability status scale (EDSS) scores was further investigated using Spearman correlation analysis. Results:There were 68 cases in the AQP4 antibody positive group and 21 cases in the AQP4 antibody negative group. Patients in both groups were predominantly female, but the percentage of females in the AQP4 antibody-positive group (86.8%, 59/68) was higher than that in the AQP4 antibody-negative group (61.9%, 13/21), with a statistically significant difference (χ 2=4.91, P=0.027). The incidence of optic neuritis in AQP4 antibody negative group (66.7%, 14/21) was higher than that in antibody positive group (41.2%, 28/68), with a statistically significant difference (χ 2=4.18, P=0.041). In the distribution of intracranial lesions on MRI, the probability of lesions involving the brain stem in AQP4 antibody negative group (47.6%, 10/21) was higher than that in AQP4 antibody positive group (23.5%, 16/68), the difference had statistically significance (χ 2=4.50, P=0.034). The volumes of whole brain white matter, right amygdala, right accumbens-area and right ventral diencephalon in AQP4 antibody positive group were lower than those in AQP4 antibody negative group ( P<0.05), and the volumes of the right accumbens-area were negatively correlated with the EDSS scores in AQP4 antibody positive group ( r=-0.628, P=0.009). Conclusion:There are differences in clinical and imaging manifestations between AQP4 antibody positive and AQP4 antibody negative patients, which provides more basis for clinical in-depth understanding of NMOSD.

Objective:To evaluate the clinical application value of MR amide proton transfer weighted imaging (APTWI) in predicting the pathological grade of brainstem glioma (BSG).Methods:The data of 41 BSG patients in Beijing Tiantan Hospital, Capital Medical University from August 2019 to June 2020 who underwent both MRI and APTWI 2 weeks before surgery and had pathological grading results were retrospectively analyzed. According to the pathological results, 41 patients were classified into high-grade BSG (20 patients) and low-grade BSG (21 patients). Combined with conventional MR images, the signal intensity (%) of amide proton transfer (APT) in the parenchymal area of the tumor was obtained on APTWI images. χ 2 test or independent sample t-test was used to analyze the differences in gender distribution, age and APT signal intensity between patients with high and low grade BSG. Receiver operating characteristic (ROC) curve was drawn to predict the efficacy of APT signal intensity in the differential diagnosis of high and low grade BSG, and Youden index was calculated to obtain the optimal diagnostic threshold; the predictive ability of APT signal intensity was analyzed in combination with Hosmer-Lemeshow goodness of fit test. Results:There was no significant difference in age [(23±18) years, (20±17) years, t=0.97, P=0.340] and gender distribution (9/11, 9/12 for males/females, χ 2=0.02, P=0.890) between high-grade and low-grade BSG patients. The APT signal intensity of high-grade BSG [(3.9±0.9)%] was significantly higher than that of low-grade BSG [(2.8±0.9)%], and the difference had statistical significance ( t=4.16, P<0.001). The area under the ROC curve of APT signal intensity to distinguish high-grade and low grade BSG was 0.836, and with 2.85% as the optimal diagnostic threshold of APT signal intensity, its sensitivity for the diagnosis of high-grade BSG was 90.0% and specificity was 71.4%. The Hosmer-Lemeshow test showed that APTWI had a good predictive ability for BSG grade (χ 2=13.33, P=0.101). Conclusion:APTWI can be applied in distinguishing high grade BSG from low grade BSG, and has clinical value in predicting glioma grading.