1.Efficacy and safety of a domestic hair follicle extraction system in extracting hair follicles from patients with androgenetic alopecia: a multicenter, prospective, randomized, self-controlled clinical trial
Kai YANG ; Jinran LIN ; Fei ZHU ; Suyun FENG ; Zheng LI ; Yue ZHANG ; Ruiming HU ; Hanxiao CHENG ; Zhentao ZHOU ; Yatong WU ; Dingquan YANG ; Jufang ZHANG ; Wenyu WU
Chinese Journal of Dermatology 2025;58(7):603-607
Objective:To compare the efficacy and safety of a domestic hair follicle extraction system versus traditional follicular unit excision (FUE) in extracting hair follicles for the treatment of androgenetic alopecia (AGA) .Methods:A multicenter, randomized, self-controlled clinical trial was conducted on AGA patients aged 18 - 59 years who were recruited from the Huashan Hospital, Fudan University, the Affiliated Hangzhou First People's Hospital, and the China-Japan Friendship Hospital between June 2023 and September 2024. Each patient's scalp was randomly divided into two sides (experimental side vs. control side) using an envelope method. The experimental side underwent robotic hair transplantation with a domestic hair follicle extraction system, and the control side underwent traditional FUE. Hair follicles were extracted from the safe donor area in the occipital region, and implanted into the ipsilateral hair loss area. The primary outcome was the hair transection rate which was calculated immediately after follicular extraction. The secondary outcomes included the hair follicle unit loss rate and the change in hair density at the recipient site on postoperative day 14. Safety was evaluated by assessing the incidence of folliculitis at the donor site on postoperative day 14 and the overall incidence of adverse events. Surgical outcomes were evaluated at 9 months after surgery. Comparisons of evaluation indicators among groups were performed by using a paired t test or Wilcoxon signed-rank test. Results:A total of 55 patients with AGA (51 males and 4 females, aged 32.71 ± 5.75 years) completed the hair follicle transplantation and postoperative follow-up. The hair transection rate ( M[ Q1, Q3]) was 6.65% (4.56%, 10.16%) in the experimental group and 5.28% (3.04%, 8.89%) in the control group (difference = 1.24%, 95% CI: -0.24%, 2.65%) . The hair follicle unit loss rate was 2.00% (1.00%, 3.50%) in the experimental group and 0.50% (0, 2.00%) in the control group, with a significant difference between the two groups ( P = 0.008) . On postoperative day 14, there was no significant difference in the hair density between the experimental group and control group (72.20 ± 25.95 per cm 2vs. 76.49 ± 30.84 per cm 2, P = 0.173) . At 9-month follow-up, both groups showed improvement in the investigator's overall score in the recipient areas. Seven adverse events occurred in 7 subjects (12.72%) in each group, and all were mild folliculitis. Conclusion:The domestic hair follicle extraction system demonstrated comparable efficacy and safety to the traditional FUE in hair transplantation.
2.A diabetic retinopathy multi-lesion segmentation network integrating deformable convolution and attention mechanism
Chunxiao LI ; Yatong ZHOU ; Chunyan SHAN ; Zhitao XIAO ; Yunfan BU
Chinese Journal of Medical Physics 2025;42(5):596-605
In view of the complex structure of diabetic retinopathy and the large differences in the scales of different lesions,a novel network which integrates deformable convolution and attention mechanism is proposed for automatic diabetic retinopathy multi-lesion segmentation.Specifically,deformable convolution Haar wavelet transform encoder takes place of the original convolutional downsampling encoder to adapt to the irregular shape changes of lesions and extract effective feature information;a dense feature perception and aggregation module is introduced at the bottleneck layer to extract multi-scale features by aggregating multiple receptive fields,thus enhancing deep semantic information;and finally,in order to fully integrate the decoder output and improve the recognition accuracy of edge information,a multi scale adaptive fusion module is used to weight the decoder output of each layer for obtaining the most accurate segmentation feature map.The validation of hard percolation,bleeding point,and soft percolation segmentations on the DDR-RLS dataset reveals that the proposed network shows increases of 0.026 2,0.051 8 and 0.046 5 in IoU coefficient,0.027 1,0.058 1 and 0.050 4 in Dice coefficient,and 0.0423,0.0691 and 0.0734 in AUPR value,as compared with the original Unet.
3.Efficacy and safety of a domestic hair follicle extraction system in extracting hair follicles from patients with androgenetic alopecia: a multicenter, prospective, randomized, self-controlled clinical trial
Kai YANG ; Jinran LIN ; Fei ZHU ; Suyun FENG ; Zheng LI ; Yue ZHANG ; Ruiming HU ; Hanxiao CHENG ; Zhentao ZHOU ; Yatong WU ; Dingquan YANG ; Jufang ZHANG ; Wenyu WU
Chinese Journal of Dermatology 2025;58(7):603-607
Objective:To compare the efficacy and safety of a domestic hair follicle extraction system versus traditional follicular unit excision (FUE) in extracting hair follicles for the treatment of androgenetic alopecia (AGA) .Methods:A multicenter, randomized, self-controlled clinical trial was conducted on AGA patients aged 18 - 59 years who were recruited from the Huashan Hospital, Fudan University, the Affiliated Hangzhou First People's Hospital, and the China-Japan Friendship Hospital between June 2023 and September 2024. Each patient's scalp was randomly divided into two sides (experimental side vs. control side) using an envelope method. The experimental side underwent robotic hair transplantation with a domestic hair follicle extraction system, and the control side underwent traditional FUE. Hair follicles were extracted from the safe donor area in the occipital region, and implanted into the ipsilateral hair loss area. The primary outcome was the hair transection rate which was calculated immediately after follicular extraction. The secondary outcomes included the hair follicle unit loss rate and the change in hair density at the recipient site on postoperative day 14. Safety was evaluated by assessing the incidence of folliculitis at the donor site on postoperative day 14 and the overall incidence of adverse events. Surgical outcomes were evaluated at 9 months after surgery. Comparisons of evaluation indicators among groups were performed by using a paired t test or Wilcoxon signed-rank test. Results:A total of 55 patients with AGA (51 males and 4 females, aged 32.71 ± 5.75 years) completed the hair follicle transplantation and postoperative follow-up. The hair transection rate ( M[ Q1, Q3]) was 6.65% (4.56%, 10.16%) in the experimental group and 5.28% (3.04%, 8.89%) in the control group (difference = 1.24%, 95% CI: -0.24%, 2.65%) . The hair follicle unit loss rate was 2.00% (1.00%, 3.50%) in the experimental group and 0.50% (0, 2.00%) in the control group, with a significant difference between the two groups ( P = 0.008) . On postoperative day 14, there was no significant difference in the hair density between the experimental group and control group (72.20 ± 25.95 per cm 2vs. 76.49 ± 30.84 per cm 2, P = 0.173) . At 9-month follow-up, both groups showed improvement in the investigator's overall score in the recipient areas. Seven adverse events occurred in 7 subjects (12.72%) in each group, and all were mild folliculitis. Conclusion:The domestic hair follicle extraction system demonstrated comparable efficacy and safety to the traditional FUE in hair transplantation.
4.A diabetic retinopathy multi-lesion segmentation network integrating deformable convolution and attention mechanism
Chunxiao LI ; Yatong ZHOU ; Chunyan SHAN ; Zhitao XIAO ; Yunfan BU
Chinese Journal of Medical Physics 2025;42(5):596-605
In view of the complex structure of diabetic retinopathy and the large differences in the scales of different lesions,a novel network which integrates deformable convolution and attention mechanism is proposed for automatic diabetic retinopathy multi-lesion segmentation.Specifically,deformable convolution Haar wavelet transform encoder takes place of the original convolutional downsampling encoder to adapt to the irregular shape changes of lesions and extract effective feature information;a dense feature perception and aggregation module is introduced at the bottleneck layer to extract multi-scale features by aggregating multiple receptive fields,thus enhancing deep semantic information;and finally,in order to fully integrate the decoder output and improve the recognition accuracy of edge information,a multi scale adaptive fusion module is used to weight the decoder output of each layer for obtaining the most accurate segmentation feature map.The validation of hard percolation,bleeding point,and soft percolation segmentations on the DDR-RLS dataset reveals that the proposed network shows increases of 0.026 2,0.051 8 and 0.046 5 in IoU coefficient,0.027 1,0.058 1 and 0.050 4 in Dice coefficient,and 0.0423,0.0691 and 0.0734 in AUPR value,as compared with the original Unet.
5.Diabetic retinopathy segmentation using dense dilated attention pyramid and multi-scale features
Zhilu WANG ; Yue CHI ; Yatong ZHOU ; Chunyan SHAN ; Zhitao XIAO ; Shaoqi WANG
Chinese Journal of Medical Physics 2024;41(8):1000-1009
An improved U-shaped multi-lesion segmentation model,namely dense dilated attention pyramid UNet(DDAPNet),is proposed to overcome the difficulty in learning multi-scale features and address the issue of blurry boundaries in diabetic retinopathy(DR)segmentation task.DR images are treated with Patch processing to enhance the model's ability to capture local lesion features.After backbone feature extraction,a redesigned dense dilated attention pyramid module is introduced to expand the receptive field and address the issue of blurry lesion boundaries;and simultaneously,pyramid split attention module is used for feature enhancement;and then,the features output by the two modules are fused.Additionally,an improved residual attention module is embedded within skip connections to reduce interference from shallow redundant information.The joint validation on DDR dataset and real dataset from a specific hospital shows that compared with the original model,DDAPNet model improves the Dice similarity coefficient for segmentations of microaneurysms,hemorrhages,soft exudates and hard exudates by 4.31%,2.52%,3.39%and 4.29%,respectively,and increases mean intersection over union by 1.80%,2.24%,4.28%and 1.98%,respectively.The proposed model makes the segmentation of lesion edges smoother and more continuous,notably enhancing the segmentation performance for conditions like soft exudates in retinal lesions.
6.Simulation Study on Radiated Immunity Test of Active Implantable Medical Device.
Yatong ZHOU ; Weiqiang ZHANG ; Hongyi YU
Chinese Journal of Medical Instrumentation 2019;43(2):94-98
In the electromagnetic compatibility standards of active implantable medical devices such as ISO 14117,radiated immunity test above 450 MHz frequency is recommended to be carried out in the electromagnetic shielding room.However,different test locations and the shape/size of the shielding room may lead to very different electromagnetic field distribution in the radiation exposure area of the sample,thus affecting the consistency of the test.With the model built by COMSOL software,this paper analyzes the impact of different parameters,such as size of the room and position of torso simulator on the distribution of field intensity,and reaches results about the distribution of field intensity on the torso simulator area under tow sizes of shielding rooms and two typical test positions.The results show that the experimental consistency of the electric field intensity on the surface directly below the center of the antenna is not good enough,which may affect the repeatability of the test.
Electromagnetic Fields
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Prostheses and Implants
7.The application of nalmefene in sufentanil and propofol anesthesia for abortion
Na LI ; Fei LIANG ; Xiaoshan XIAO ; Yatong LIANG ; Daiwei ZHOU
The Journal of Practical Medicine 2015;(13):2190-2193
Objective To investigate the effect of nalmefene on sufentanil and propofol anesthesia for abortion and its impact on BIS. Methods One hundred and twenty patients undergoing abortion patients were randomly divided into group A, B, C, and D (n = 30 each). Patients in group A and B received 0.2 μg/kg or 0.3 μg/kg sufentanil, respectively, followed with 1.5 mg/kg propofol for induction of anesthesia post-pretreatment with 0.2 μg/kg nalmefene. Patients in group C and D received induction of anesthesia as patients in group A and B. According to the BIS and fluctuation of hemodynamic , the amount of propofol was adjusted. If necessary, additional single intravenous injection of 0.5 mg/kg propofol. The mean arterial pressure (MAP), heart rate (HR), pulse oxygen saturation (SpO2) and respiratory rate (RR) in patient before injection (T1), the eyelash reflex (T2), dilatation (T3), curettage (T4) and surgery awake (T5) were detected. The additional amount of propofol , operation time , recovery time of surgery , the steward score of orientation recovery after 1min of surgery , body movement reaction , cough , respiratory depression , postoperative visual analog digital score (VAS) 15 min later were also recorded in each group. Results Compared with group A, propofol could reduce the intraoperative body movement reaction rate , with lower postoperative VAS in group B and group D (P <0.05, respectively), with no significant difference between group C and group A (P > 0.05). The rapid recovery, surgery within 1 min orientation recovery were higher in group B, C, D compared with group A (P <0.05). However, orientation recovery score in group D was higher than that in group B (P < 0.05); The respiratory depression and choking were higher in group A and B than those in group C , D (P < 0.05, respectively). Conclusion The doses of 0.2 μg/kg nalmefene can effectively antagonize the respiratory depression , delay recovery and other adverse reactions in painless which induced by sufentanil , and the dose of nalmefene in this study failed to enhance the effect of analgesic and change the BIS values.
8.Safety evaluation of Dengzhanxixin injection in 986 elderly inpatients
Liwei JI ; Bing ZHOU ; Yatong ZHANG ; Jun ZHANG ; Xin LIN ; Qian NI ; Xin HU ; Chunhua SUN
Chinese Journal of Geriatrics 2009;28(9):715-718
Objective To investigate the rationality and safety of dengzhanxixin injection used in elderly inpatients. Methods The clinical data of 986 inpatients including 620 males and 366 females were collected, and questionnaires containing age, sex, discharge diagnosis, symptoms, drug dosage, course of treatment, laboratory examination, adverse drug reaction and drug effect were analyzed. Results For the 986 cases, the average age was(74.3±7.5)years. The average dose of dengzhanxixin injection was (38.2±4.4) ml, once daily by intravenous drip, and the average period of treatment was (10.8±5.2) days. The adverse reaction rate was 0.81%. The levels of blood glucose and hemoglobin were decreased after treatment(t orμ=1226.5,2620.0, both P<0.05), but there were no statistical differences in the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine (CREA), blood urea nitrogen (BUN) and white blood cell count (WBC) before and after treatment (t or μ=122.5, 405.0, 513.5, 996.5, 956.5, all P>0.05). Conclusions It is safe to use dengzhanxixin injection according to the medication description for elderly inpatients.

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