目的:了解外阴平滑肌瘤的临床特点、鉴别诊断和治疗方法。方法:回顾性分析我院2021年1月住院手术并经病理证实的1例外阴平滑肌瘤病例。结果:患者以“发现外阴肿物1年”之主诉入院。于门诊行前庭大腺囊肿造口术,未见囊液流出,行包块活检...目的:了解外阴平滑肌瘤的临床特点、鉴别诊断和治疗方法。方法:回顾性分析我院2021年1月住院手术并经病理证实的1例外阴平滑肌瘤病例。结果:患者以“发现外阴肿物1年”之主诉入院。于门诊行前庭大腺囊肿造口术,未见囊液流出,行包块活检术,病理诊断:考虑平滑肌瘤(病理号20-20256)。B超示:多发性子宫肌瘤(3.2 cm × 3.0 cm),右侧大阴唇皮下所见(5.8 cm × 4.8 cm)。行双侧外阴囊肿切除术后送病理检查,病理结果:(双侧外阴肿瘤)多发性平滑肌瘤,肿瘤直径5 cm建议随诊(病理号21-00581)。术后切口愈合好。结论:外阴平滑肌瘤是一类罕见的妇科良性肿瘤,大多数为单发,极少合并伴有子宫平滑肌瘤,易被误诊为前庭大腺囊肿,一旦发现应尽早进行手术治疗,避免其继续发展恶化。展开更多
Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic str...Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic stroke,and CHD patients with a history of ischemic stroke.Methods Study participants were recruited from Shuguang East Hospital,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,and Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated with Shanghai University of Traditional Chinese Medicine,from April 15 to September 15,2021.They were categorized into three groups:healthy controls(Group 1),CHD patients without a history of ischemic stroke(Group 2),and CHD patients with a history of ischemic stroke(Group 3).The wrist pulse signals of the study participants were non-invasively collected using a pulse diagnosis instrument.The linear time-domain features and nonlinear time-series multiscale entropy(MSE)features of the pulse signals were extracted using time-domain analysis and the MSE methods,which were subsequently compared between groups.Based on these extracted features,a recognition model was developed using a random forest(RF)algorithm.The classification performance of the models was evaluated using metrics,including accuracy,precision,recall,and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics(ROC)curve(AUC).Results A total of 189 participants were enrolled,with 63 in Group 1,61 in Group 2,and 65 in Group 3.Compared with Group 1,Group 2 showed significant increases in pulse features H2/H1,H3/H1,W1,W2,and W2/T,and decreased in MSE_(1)-MSE_(7)(P<0.05),while Group 3 showed significant increases in pulse features T5/T4,T,H1/T1,W1,W2,AS,and Ad,and de-creased in MSE_(1)-MSE_(20)(P<0.05).Compared with Group 2,Group 3 demonstrated notable increases in H1/T1 and As(P<0.05).The RF model achieved precision of 80.00%,61.54%,and 61.54%,recall of 74.29%,60.00%,and 68.97%,F1-scores of 70.04%,60.76%,and 65.04%,and AUC values of 0.92,0.74,and 0.81 for Groups 1,2,and 3,respectively.The overall accuracy was 67.69%,with micro-average AUC of 0.83 and macro-average AUC of 0.82.Conclusion Differences in pulse features reflect variations in arterial compliance,peripheral resistance,cardiac afterload,and pulse signal complexity among healthy individuals,CHD patients without a history of ischemic stroke,and those with such a history.The developed pulse-based recognition model holds the potential in distinguishing between these three groups,offering a novel diagnostic reference for clinical practice.展开更多
文摘目的:了解外阴平滑肌瘤的临床特点、鉴别诊断和治疗方法。方法:回顾性分析我院2021年1月住院手术并经病理证实的1例外阴平滑肌瘤病例。结果:患者以“发现外阴肿物1年”之主诉入院。于门诊行前庭大腺囊肿造口术,未见囊液流出,行包块活检术,病理诊断:考虑平滑肌瘤(病理号20-20256)。B超示:多发性子宫肌瘤(3.2 cm × 3.0 cm),右侧大阴唇皮下所见(5.8 cm × 4.8 cm)。行双侧外阴囊肿切除术后送病理检查,病理结果:(双侧外阴肿瘤)多发性平滑肌瘤,肿瘤直径5 cm建议随诊(病理号21-00581)。术后切口愈合好。结论:外阴平滑肌瘤是一类罕见的妇科良性肿瘤,大多数为单发,极少合并伴有子宫平滑肌瘤,易被误诊为前庭大腺囊肿,一旦发现应尽早进行手术治疗,避免其继续发展恶化。
基金National Natural Science Foundation of China(82074332)Shanghai Key Laboratory of Health Identification and Assessment(21DZ2271000)the 14th Batch of Science and Innovation Program for Undergraduates(202110268031).
文摘Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic stroke,and CHD patients with a history of ischemic stroke.Methods Study participants were recruited from Shuguang East Hospital,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,and Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated with Shanghai University of Traditional Chinese Medicine,from April 15 to September 15,2021.They were categorized into three groups:healthy controls(Group 1),CHD patients without a history of ischemic stroke(Group 2),and CHD patients with a history of ischemic stroke(Group 3).The wrist pulse signals of the study participants were non-invasively collected using a pulse diagnosis instrument.The linear time-domain features and nonlinear time-series multiscale entropy(MSE)features of the pulse signals were extracted using time-domain analysis and the MSE methods,which were subsequently compared between groups.Based on these extracted features,a recognition model was developed using a random forest(RF)algorithm.The classification performance of the models was evaluated using metrics,including accuracy,precision,recall,and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics(ROC)curve(AUC).Results A total of 189 participants were enrolled,with 63 in Group 1,61 in Group 2,and 65 in Group 3.Compared with Group 1,Group 2 showed significant increases in pulse features H2/H1,H3/H1,W1,W2,and W2/T,and decreased in MSE_(1)-MSE_(7)(P<0.05),while Group 3 showed significant increases in pulse features T5/T4,T,H1/T1,W1,W2,AS,and Ad,and de-creased in MSE_(1)-MSE_(20)(P<0.05).Compared with Group 2,Group 3 demonstrated notable increases in H1/T1 and As(P<0.05).The RF model achieved precision of 80.00%,61.54%,and 61.54%,recall of 74.29%,60.00%,and 68.97%,F1-scores of 70.04%,60.76%,and 65.04%,and AUC values of 0.92,0.74,and 0.81 for Groups 1,2,and 3,respectively.The overall accuracy was 67.69%,with micro-average AUC of 0.83 and macro-average AUC of 0.82.Conclusion Differences in pulse features reflect variations in arterial compliance,peripheral resistance,cardiac afterload,and pulse signal complexity among healthy individuals,CHD patients without a history of ischemic stroke,and those with such a history.The developed pulse-based recognition model holds the potential in distinguishing between these three groups,offering a novel diagnostic reference for clinical practice.
