1.Survey of occupational exposures to minimally invasive acupunctures of traditional Chinese medicine and treatment countermeasures
Yanmi LIANG ; Zhiling LI ; Chuhan CHEN ; Zilong LIAO
Chinese Journal of Nosocomiology 2025;35(21):3339-3343
OBJECTIVE To investigate the current status and causes of occupational exposures to needlestick inju-ries among healthcare workers who perform minimally invasive acupunctures of traditional Chinese medicine(TCM)so as to propose treatment countermeasures.METHODS A total of 95 cases who were involved in the oc-cupational exposures to needlestick injuries due to minimally invasive acupunctures and were treated in hospital in-fection management department of Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from Jan.2020 to Dec.2024 were retrospectively investigated,and the risk factors for the occupational exposures were statistically analyzed.RESULTS The cases of operation-induced needlestick injuries accounted for 16.35%(95/581)among the total cases of occupational exposures due to the operation of minimally invasive acupunctures of TCM,standardized and advanced training doctors as well as interns were dominant among the occupational ex-posure cases.There were 69(72.63%)cases of acupuncture needle injuries,34(35.79%)of whom had the needlestick injuries during the process of withdrawal of needles.The result of data analysis showed that there were significant differences in age,occupation,working years,distribution of departments,autoimmunity,type of needlestick injury,link of stick injuries and treatment of occupational exposure with emergent screening(all P<0.05).CONCLUSIONS The incidence of needlestick injuries is high among the health care workers who per-form the minimally invasive acupunctures of TCM,which should be attached great attention to.It is of great sig-nificance to standardize and modify the use procedure,use portable sharp boxes,intensify the safe operation skills for the health care workers with less experience,strengthen the teaching,focus on the autoimmunity,vaccinate in a timely manner,and effectively treat the occupational exposures so as to reduce the incidence of occupational ex-posures and the risk of infections.
2.Survey of occupational exposures to minimally invasive acupunctures of traditional Chinese medicine and treatment countermeasures
Yanmi LIANG ; Zhiling LI ; Chuhan CHEN ; Zilong LIAO
Chinese Journal of Nosocomiology 2025;35(21):3339-3343
OBJECTIVE To investigate the current status and causes of occupational exposures to needlestick inju-ries among healthcare workers who perform minimally invasive acupunctures of traditional Chinese medicine(TCM)so as to propose treatment countermeasures.METHODS A total of 95 cases who were involved in the oc-cupational exposures to needlestick injuries due to minimally invasive acupunctures and were treated in hospital in-fection management department of Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from Jan.2020 to Dec.2024 were retrospectively investigated,and the risk factors for the occupational exposures were statistically analyzed.RESULTS The cases of operation-induced needlestick injuries accounted for 16.35%(95/581)among the total cases of occupational exposures due to the operation of minimally invasive acupunctures of TCM,standardized and advanced training doctors as well as interns were dominant among the occupational ex-posure cases.There were 69(72.63%)cases of acupuncture needle injuries,34(35.79%)of whom had the needlestick injuries during the process of withdrawal of needles.The result of data analysis showed that there were significant differences in age,occupation,working years,distribution of departments,autoimmunity,type of needlestick injury,link of stick injuries and treatment of occupational exposure with emergent screening(all P<0.05).CONCLUSIONS The incidence of needlestick injuries is high among the health care workers who per-form the minimally invasive acupunctures of TCM,which should be attached great attention to.It is of great sig-nificance to standardize and modify the use procedure,use portable sharp boxes,intensify the safe operation skills for the health care workers with less experience,strengthen the teaching,focus on the autoimmunity,vaccinate in a timely manner,and effectively treat the occupational exposures so as to reduce the incidence of occupational ex-posures and the risk of infections.
3.Size-specific dose estimations in children′s head CT scans
Tian LIAO ; Zilong YUAN ; Yantao NIU ; Qing FU ; Xiaoming LIU ; Ming YANG ; Hongying WU ; Ziqiao LEI ; Jianming YU ; Xiangchuang KONG
Chinese Journal of Radiological Medicine and Protection 2021;41(7):524-528
Objective:To investigate the value of the size-specific dose estimate (SSDE) on dose estimations of children's head CT scans.Methods:A retrospective study was conducted on plain head CT scans of 252 patients with the 64-row detector CT device of Discovery 750HD in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from January to September in 2019. The volume CT dose index (CTDI vol)values were recorded. The head circumference (HC), area, and CT value were measured using a self-developed computer program, and the water equivalent diameter (WED), size-specific conversion factors ( f293 and f220), and absorbed dose (SSDE 293 and SSDE 220) were calculated according to the AAPM reports 293 and 220.The patients were divided into three groups by the quartering meth odaccording to their HC(<47.8 cm, 47.8-52.7 cm, >52.7 cm)and four groups based on their ages(0-2, 3-6, 7-10 and 11-14 years old). The difference between parameters ( f220 and f293, SSDE 220 and SSDE 293、SSDE 293 and CTDI vol) were compared for different groups, and the correlation of HC with f293 and SSDE 293 was analyzed. Results:There was an overestimation of f220 by 11.11% ( t=252.61, P<0.05) compared with f293. SSDE 220 was overestimated by 10.31% ( t=228.21, P<0.05) compared with SSDE 293, and SSDE 293 was underestimated by 9.60% ( t=-31.34, P<0.05)compared with CTDI vol. For the three HC groups, SSDE 220 was overestimated by 8.54%, 10.37%, and 11.57% ( t=73.73, 438.58, 275.52, P<0.05)compared with SSDE 293, and SSDE 293 was underestimated by 1.30%, 9.79%, and 14.61% ( t=-1.91, -60.95, -47.64, P<0.05)compared with CTDI vol. For the four age groups SSDE 220 was overestimated by 8.45%, 10.00%, 10.57%, and 11.36% ( t=63.58, 232.29, 247.84, 302.95, P< 0.05)compared with SSDE 293, and SSDE 293 was underestimated by 1.49%, 8.27%, 10.63%, and 13.78% ( t=-1.83, -28.27, -37.30, -49.80, P< 0.05)compared with CTDI vol. Furthermore, HC was highly correlated with f293 and SSDE 293 ( r2=0.88 and 0.76, respectively, P< 0.05). Conclusions:The radiation dose in children′s head CT scanning can be more accurately estimated according to the AAPM Report 293, while it can be overestimated by CTDI vol. Meanwhile, the CT radiation dose can be patently overestimated with the AAPM Report 220 compared with Report 293.HC is closely correlated with f293 and SSDE 293 and it can be used to estimatee more accurately for SSDE and the radiation dose received by children during head CT scanning.
4.To investigate the effect of scan table on CT size-specific dose estimate in children
Wei PENG ; Tiao CHEN ; Tian LIAO ; Zhaoxi ZHANG ; Lili ZHENG ; Hao CHEN ; Yaoyao HE ; Zilong YUAN
Chinese Journal of Radiological Medicine and Protection 2019;39(7):539-543
Objective To investigate the effect of scan table on size-specific dose estimate ( size-specific dose estimate, SSDE) in children's CT scan. Methods CT imaging data and CTDIvol of 44 children ( 15 heads, 13 chests, 16 abdomen-pelvis) who underwent Siemens SOMATOM Definition AS+ 64 row 128-slice CT scan were retrospectively collected. CTDIvol of each patient was recored, WED ( water equivalent diameter) was calculated by two different methods ( with or without table) , donated as WED-T and WED-NT, then the corresponding SSDEWED ( SSDEWED-T and SSDEWED-NT ) was calculated. And the SSDEWED-NT was used as reference to evaluate the difference between WED and SSDEWED obtained by two different methods. Results Including part of table will lead to the overestimate for WED, with mean differences of 0. 10%, 2. 82% and 2. 54% for head, chest and abdomen-pelvis, respectively, while SSDEWED will be underestimated by 0. 06% ( head ) , 2. 70% ( chest ) and 1. 59% ( abdomen-pelvis ) . Conclusions Including par of the patient table has a certain effect on SSDEWED for children, more attention should be paid for the application of SSDEWED.
5.A feasibility study of building up deep learning classification model based on breast digital breast tomosynthesis image texture feature extraction of the simple mass lesions
Zilong HE ; Wenbing LYU ; Genggeng QIN ; Xin LIAO ; Weimin XU ; Chanjuan WEN ; Hui ZENG ; Weiguo CHEN
Chinese Journal of Radiology 2018;52(9):668-672
Objective To evaluate the diagnostic performance of digital breast tomosynthesis (DBT) breast X-ray photography image texture characteristics based deep learning classification model on differentiating malignant masses. Methods Retrospectively collected 132 cases with simplex breast lesions (89 benign lesions and 43 malignant lesions) which were confirmed by pathology and DBT during January 2016 to December 2016 in Nanfang Hospital. DBT was performed before biopsy and surgery. Image of cranio-caudal view (CC) and medio-lateral oblique (MLO) were captured. The lesion area was segmented to acquire ROI by ITK-SNAP software. Then the processed images were input into MATLAB R2015b to establish a feature model for extracting texture features. The characteristics with high correlation was analyzed from Fisher score and one sample t test. We built up support vector machine (SVM) classification model based on extracted texture and added neural network model (CNN) for deep learning classification model. We randomly assigned collected cases into training group and validation group. The diagnosis of benign and malignant lesions were served as the reference. The efficiency was evaluated by ROC classification model. Result We extracted 82 texture characteristics from 132 images of leisure (132 images of CC and 132 images of MLO) by establishing deep learning classification model of breast lesions. We randomly chose and combined characteristics from 15 texture characteristics with statistical significance, then differentiated benign and malignant by SVM classification model. After 50 iterations on each combination of characteristics, the average diagnostic efficacy was compared to obtained the one with higher efficacy. Nine of CC and 8 of MLO was selected. The result showed that the sensitivity, specificity, accuracy and area under curve (AUC) of the model to differentiate simplex breast lesions for CC were 0.68, 0.77, 0.74 and 0.74, for MLO were 0.71, 0.71, 0.71 and 0.76. Conclusions MLO has better diagnostic performance for the diagnosis than CC. The deep learning classification model on breast lesions which was built upon DBT image texture characteristics on MLO could differentiate malignant masses effectively.
6.Absorption, distribution and elimination of (59)Fe- corn polysaccharide iron complex in rats: a study with radioactivity isotope tracing.
Yuyan ZHOU ; Jianmin LIAO ; Zilong SHEN
Journal of Southern Medical University 2013;33(11):1638-1642
OBJECTIVETo establish a method for detecting plasma concentration of corn polysaccharide iron complex (CPIC) and investigate its absorption, distribution and elimination in rats.
METHODSUsing radioactivity isotope tracing method, we detected the radioactivity of (59)Fe-CPIC in the plasma of rats at different time points by gavages of 3 doses (28.0, 14.0, and 7.0 mg/kg) (59)Fe-CPIC in SD rats. The pharmacokinetic parameters was obtained using DAS 2.0 program for analysis of tissue distribution and elimination of (59)Fe-CPIC.
RESULTSThe standard curve was linear within the range of 0.14-141 µg/ml (r=0.9999, n=5). The average recovery was 95% with a relative standard deviation no more than 15%. The pharmacokinetic parameters at 3 doses obtained, namely t1/2 and AUC (0-), were 214∓104, 231∓110, and 181∓81 min, and 1986.3∓513.3, 737.0∓467.0, and 315.1∓226.1 mg·min-1·L(-)1, respectively. (59)Fe-CPIC were detected in all the 13 tissues types examined and high radioactivity intensity was found in the gastrointestinal tract, hematogenic organs and other organs rich in blood. (59)Fe-CPIC was eliminated after intragastric administration primarily via the feces in rats.
CONCLUSIONThe method we established is easy and specific, and the pharmacokinetic parameters of (59)Fe-CPIC fit the two- compartment open model.
Administration, Oral ; Animals ; Area Under Curve ; Coordination Complexes ; administration & dosage ; pharmacokinetics ; urine ; Feces ; chemistry ; Female ; Intestinal Absorption ; Iron ; administration & dosage ; pharmacokinetics ; urine ; Iron Radioisotopes ; Male ; Polysaccharides ; administration & dosage ; isolation & purification ; pharmacokinetics ; urine ; Random Allocation ; Rats ; Rats, Sprague-Dawley ; Tissue Distribution ; Zea mays ; chemistry

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