1.Observation of therapeutic effects on cervical vertigo treated with different methods.
Jian-Ping LI ; Jun CAI ; Xia-Man GAN
Chinese Acupuncture & Moxibustion 2011;31(5):405-408
OBJECTIVETo compare the therapeutic effects of routine acupuncture, the electroacupuncture and the combined therapy of electroacupuncture and acupoint injection.
METHODSNinety-one cases were randomly divided into a routine acupuncture group (30 cases), an electroacupuncture group (31 cases), and a combined therapy of electroacupuncture and acupoint injection group (30 cases). Zusanli (ST 36), Fengchi (GB 20), Anmian (Extra), Taiyang (EX-HN 5), Hegu (LI 4), Yintang (EX-HN 3), Baihui (GV 20) and Sishengcong (EX-HN 1) were selected among 3 groups. Even manipulation was applied in routine acupuncture group; G 6805 electroacupuncture apparatus was added in electroacupuncture group; in combined therapy of electroacupuncture and acupoint injection group, electroacupuncture was applied, besides, Vitamin B12 0.5 mg and 0.2%/ Lidocaine 2 mL were injected at Fengchi (GB 20) and Anmian (Extra). Twenty treatments were given in 4 weeks. The changes of average blood flow of vertebral artery and basilar artery before and after treatment were observed and graded by the cervical vertigo syndrome and function score; the therapeutic effects were evaluated as well.
RESULTSThe average blood flow of vertebral artery and basilar artery, and the cervical vertigo syndrome and function score were improved in 3 groups (all P < 0.01), in which, it was more obvious in combined therapy of electroacupuncture and acupoint injection group than in others (P < 0.05, P < 0.01), and it in electroacupuncture group was superior to that in routine acupuncture group (P < 0.05). The effective rate was 63.3% (19/30) in routine acupuncture group, 80.6% (25/31) in electroacupuncture group and 90.3% (28/30) in combined therapy of electroacupuncture and acupoint injection group, indicating the significant differences among them (P < 0.05, P < 0.01).
CONCLUSIONThe routine acupuncture, electroacupuncture, and combined therapy of electroacupuncture and acupoint injection are effective for cervical vertigo; the combined therapy is the best, and electroacupuncture comes second. It illustrates that the routine acupuncture, electroacupuncture, and combined therapy of electroacupuncture and acupoint injection have additive effects on treatment of cervical vertigo.
Acupuncture Points ; Aged ; Electroacupuncture ; Female ; Humans ; Injections ; Lidocaine ; administration & dosage ; Middle Aged ; Regional Blood Flow ; drug effects ; Treatment Outcome ; Vertebral Artery ; drug effects ; physiopathology ; Vertigo ; drug therapy ; physiopathology ; therapy ; Vitamin B 12 ; administration & dosage
2.Clinical study on moxibustion for treatment of abnormal blood lipids.
Jian-Ping LI ; Yong-Nian YAO ; Pei-Da HE ; Xia-Man GAN ; Fang-Ling FAN
Chinese Acupuncture & Moxibustion 2005;25(11):825-827
OBJECTIVETo observe clinical therapeutic effect of moxibustion on abnormal blood lipids.
METHODSThe patients who did not take the medicine for regulating blood lipids and had still abnormal blood lipids after diet therapy for 3 months, were divided into 4 groups according to different types of abnormal blood lipids. Forty cases selected in each group were again divided randomly into a treatment group and a control group. The treatment group were treated with moxibustion at Shousanli (LI 10), Zusanli (ST 36) and Shenque (CV 3) on the basis of diet therapy, and the control group only with the diet therapy. Their therapeutic effects were observed and compared after treatment of 90 days.
RESULTSThere were significant differences between the treatment group and the control group in various groups of different types of abnormal blood lipids (P < 0.05).
CONCLUSIONMoxibustion at Shousanli (LI 10), Zusanli (ST 36) and Shenque (CV 3) has a better therapeutic effect on abnormal blood lipids.
Acupuncture Points ; Biomedical Research ; Humans ; Lipids ; blood ; Medicine, Chinese Traditional ; Moxibustion
3.Clinical observation on distinctive water-medicine cup therapy for treatment of cervical spondylopathy of cervical type.
Jian-Ping LI ; Hui ZHANG ; Jun CAI ; Xia-Man GAN ; Fang-Ling FAN ; Pei-Da HE
Chinese Acupuncture & Moxibustion 2007;27(11):804-806
OBJECTIVETo use distinctive water-medicine cup therapy for treatment of cervical spondylopathy of cervical type as a sample to provide a more effective cupping method for clinic.
METHODSOne hundred and forty cases were randomly divided into a medicine cup group (n = 47), a water cup group (n = 47) and a empty cup group (n = 46). The medicine cup group were treated by cupping therapy with a self-made medicine cup with 45 degrees C Chinese herb solution; the water cup group were treated with a cup with 45 degrees C water, and the empty cup group with a cup with nothing. Clinical symptoms and signs were observed for comparison of therapeutic effects.
RESULTSClinically cured was 39 cases, and markedly effective was 8 cases in the medicine cup group; 20 cases were clinically cured, 22 cases were markedly effective and 5 cases were effective in the water cup group; 12 cases were clinically cured, 19 cases were markedly effective and 15 cases were effective in the empty cup group. There were significant differences in the ratio of cases of different therapeutic effects and the difference of pain score before and after treatment between the medicine cup group and the water cup group (P < 0.05), between the water cup group and the empty cup group (P < 0.05), and between the medicine cup group and the empty cup group (P < 0.01).
CONCLUSIONThe therapeutic effect of the distinctive medicine cup is better than the water cup group, and the water cup group is better than the empty cup group.
Adolescent ; Adult ; Aged ; Cervical Vertebrae ; Female ; Humans ; Male ; Medicine, Chinese Traditional ; Middle Aged ; Spinal Osteophytosis ; therapy
4.Huayu Pill () Promotes Fluorescent Doxorubicin Delivery to Tumors in Mouse Model of Lung Cancer.
Lei GAO ; Cai-Xia HAO ; Gan-Lin ZHANG ; Ke-Xin CAO ; Ming-Wei YU ; Qi-Wei LI ; Xue-Man MA ; Guo-Wang YANG ; Xiao-Min WANG
Chinese journal of integrative medicine 2021;27(7):514-519
OBJECTIVE:
To study the effect and mechanism of Huayu Wan (, HYW) in combination of chemotherapy of tumor treatment.
METHODS:
HYW serum was added in Lewis cells to assess its impact on fluorescent doxorubicin delivery in vitro. Then, Lewis tumor cells was implanted in C57BL/6 mice via xenograft transplantation. Tumor growth was measured and signal intensity corresponding to blood flow was assessed by laser doppler perfusion imaging (LDPI). Finally, the effect of HYW on the effificacy of doxorubicin was studied.
RESULTS:
HYW can improve the transfer of fluorescent doxorubicin into cells. The blood flow signal in the tumor tissues of the HYW group was higher than that of the control group (P<0.01). Furthermore, HYW improved drug delivery of doxorubicin to tumor tissues, and this activity was associated with HYW-induced microvascular proliferation (P<0.01).
CONCLUSIONS
HYW can promote microangiogenesis and increase blood supply in tumor tissues, which in turn may increase the risk of metastasis. At the same time, HYW increases drug delivery and improves the effificacy of chemotherapy drugs through vascular proliferation. Therefore, rational judgment must be exercised when considering applying HYW to an antitumor regimen.
5.Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Teng-Fei YU ; Wen HE ; Cong-Gui GAN ; Ming-Chang ZHAO ; Qiang ZHU ; Wei ZHANG ; Hui WANG ; Yu-Kun LUO ; Fang NIE ; Li-Jun YUAN ; Yong WANG ; Yan-Li GUO ; Jian-Jun YUAN ; Li-Tao RUAN ; Yi-Cheng WANG ; Rui-Fang ZHANG ; Hong-Xia ZHANG ; Bin NING ; Hai-Man SONG ; Shuai ZHENG ; Yi LI ; Yang GUANG
Chinese Medical Journal 2021;134(4):415-424
BACKGROUND:
The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.
METHODS:
Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.
RESULTS:
The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).
CONCLUSIONS:
The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.
TRIAL REGISTRATION
Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve
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Breast/diagnostic imaging*
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Breast Neoplasms/diagnostic imaging*
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China
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Deep Learning
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Humans
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ROC Curve
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Sensitivity and Specificity