1.Diagnostic value of AI-based motion assessment in differentiation of Parkinson's disease and multiple system atrophy-Parkinsonian type
Qianyao WANG ; Na REN ; Jilin CHEN ; Hua LI ; Min LI ; Shufeng ZHANG ; Jin YU ; Hairong QIAN
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(4):482-487
Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P<0.05,P<0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P<0.05,P<0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95%CI:0.895-0.991,P=0.000)and 0.925(95%CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.
2.Developmental abnormality and malposition characteristics of teeth adjacent to the alveolar cleft in patients with cleft lip and palate and treatment progress
ZHENG Siying ; WANG Shiyi ; YU Qianyao ; LI Weiran ; HUANG Yiping
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(10):908-918
Cleft lip and palate (CLP) are common congenital craniofacial developmental disorders with a high incidence rate among newborns. Due to the influence of the cleft, an increased frequency of anomalies occurs in cleft-adjacent teeth. This review summarizes the abnormality of tooth development and malposition characteristics of the central incisors, lateral incisors, and canines adjacent to the alveolar cleft in CLP patients and treatment progress in order to provide information for related clinical treatment and research. The literature reveals that central incisors, lateral incisors, and canines adjacent to the alveolar cleft exhibit various types and degrees of abnormalities. The alveolar cleft-adjacent central incisors show significantly smaller mesiodistal diameters, root lengths, and root volumes compared to the non-alveolar cleft side, while the crown-to-root ratio is larger. Further, they are inclined distally and lingually compared to the non-alveolar cleft side. The alveolar cleft-adjacent lateral incisor is the most common missing or impacted tooth and is often affected by microdontia. The total length and root length of the alveolar cleft-adjacent canines are significantly smaller, while the crown-to-root ratio is larger on the alveolar cleft side. In addition, they are inclined mesially and buccally compared to the non-alveolar cleft side. Further, they are higher positioned and located closer to the midline. For developmental anomalies, impacted central incisors can be addressed by orthodontic space preparation to facilitate eruption or surgical crown exposure and orthodontic traction. Treatment of missing lateral incisors can involve orthodontic closure of the gap or preservation of the space for subsequent prosthetic restoration. When lateral incisors present with developmental defects, such as microdontia, peg-shaped teeth, or invaginated teeth, a comprehensive decision is necessary to determine whether to retain and restore or extract the malformed lateral incisors. Treatment of impacted canines after bone grafting involves either extraction or traction to facilitate the eruption of the impacted tooth. For malposition, presurgical orthodontic treatment can correct teeth with excessive inclination or rotation on the cleft side to improve the effectiveness of bone grafting surgery. Postsurgical orthodontic treatment can enhance the stability of bone grafting surgery. Although numerous studies have explored the dental characteristics of patients with CLP, the lack of applicability and specificity still need to be elucidated, thus indicating the need for further research.
3.Diagnostic value of AI-based motion assessment in differentiation of Parkinson's disease and multiple system atrophy-Parkinsonian type
Qianyao WANG ; Na REN ; Jilin CHEN ; Hua LI ; Min LI ; Shufeng ZHANG ; Jin YU ; Hairong QIAN
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(4):482-487
Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P<0.05,P<0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P<0.05,P<0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95%CI:0.895-0.991,P=0.000)and 0.925(95%CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.


Result Analysis
Print
Save
E-mail