Objective To explore the value of ultrasound intelligent diagnostic system combined with mammography for differentiating benign and malignant non-mass breast lesions(NMBL).Methods Totally 107 patients with NMBL were retrospectively enrolled,including 64 cases of malignant(malignant group)and 43 cases of benign lesions(benign group).Clinical,routine ultrasound,ultrasound intelligent diagnostic system(artificial intelligence[AI]system)and mammography data were compared between groups.Logistic regression analysis was performed,receiver operating characteristic(ROC)curves were drawn,the areas under the curves(AUC)were calculated,and the efficacy of AI system combined with mammography for differentiating benign and malignant NMBL was analyzed.Results Significant differences of the maximum diameter of lesion,ratio of axillary lymph node enlargement and suspected malignant calcification on mammography,as well as of AI system malignancy risk and AI system breast imaging reporting and data system(BI-RADS)classification were found between groups(all P＜0.05).AI system binary classification was obtained based on AI system malignancy risk.The AUC of suspected malignant calcification on mammography,AI system BI-RADS classification and AI system binary classification for differential diagnosis of benign and malignant NMBL was 0.840,0.810 and 0.817,respectively,while of suspected malignant calcification on mammography combined with AI system BI-RADS classification or AI system binary classification were both 0.856,higher than that of AI system BI-RADS classification/AI system binary classification alone(both P＜0.05)but not significantly different with that of suspected malignant calcification on mammography alone(both P＞0.05).Logistic regression analysis of age,the maximum diameter of lesion,axillary lymph node enlargement and suspected malignant calcification on mammography combined with AI system malignancy risk(model 1),AI system BI-RADS classification(model 2)or AI system binary classification(model 3)showed that suspected malignant calcification on mammography,AI system malignancy risk,AI system BI-RADS classification and AI system binary classification were all independent risk factors of malignant NMBL(all P＜0.05),and AUC of model 1,2 and 3 for differentiating benign and malignant NMBL was 0.966,0.964 and 0.957,respectively.Conclusion Ultrasound intelligent diagnostic system combined with mammography was helpful for differentiating benign and malignant NMBL.Combining with clinical indicators might improve diagnostic efficacy.

Objective:To explore the optimization potential of clinical target volume (CTV) delineation proposed in the guidelines of the Oncology Group (RTOG), the Francophone Group of Urological Radiotherapy (GFRU), and the European Society for Radiotherapy and Oncology (ESTRO) based on prostate bed local occurrence patterns after radical prostatectomy identified using prostate-specific membrane antigen positron emission tomography (PSMA PET).Methods:A retrospective analysis was conducted on patients with local prostate bed recurrence after radical prostatectomy who underwent PSMA PET at the Department of Nuclear Medicine, Peking University First Hospital from September 2021 to February 2024. The central point of each recurrence was marked. A six-zone method was established based on prostate bed anatomy and the characteristics of cross-sectional imaging. Then, the positional relationships (within or outside) were recorded with respect to recurrences and CTV defined by the RTOG, GFRU, and ESTRO (CTV RTOG, CTV GFRU, and CTV ESTRO), followed the analysis of the recurrence rates and distribution characteristics of various zones. Results:A total of 63 patients with prostate bed recurrence after radical prostatectomy were enrolled in this study, including 97 recurrences. The recurrence rates in the six zones were as follows: 10% of zone 1, 22% of zone 2, 29% of zone 3, 2% of zone 4, 12% of zone 5a, 18% of zone 5b, and 7% of zone 6. Among these zones, zones 2 and 3 showed the highest and second-highest recurrence rates, respectively. CTV GFRU and CTV ESTRO completely covered zones 2 and 3, while CTV RTOG covered zone 2 completely and zone 3 partially. Zone 4, characterized by a low recurrence rate, was not covered by CTV GFRU and CTV ESTRO but was entirely covered by CTV RTOG. Zone 5a, with a recurrence rate of 12%, was completely covered by CTV RTOG but was partially covered by CTV GFRU and CTV ESTRO. The range of 1.3 cm in front of the posterior wall of the bladder covered all recurrences in zone 5a. Conclusions:For CTV delineation of the prostate cancer surgical bed, zone 4, the anterior half of the bladder above the pubic symphysis midpoint, should be contracted due to the low recurrence rate in this zone. In contrast, the anterior boundary above the pubic symphysis midpoint should extend to 1.3 cm in front of the posterior wall of the bladder to completely cover the recurrence zones.

ObjectiveTo evaluate the clinical efficacy and safety of acupuncture combined with levodopa in the treatment of Parkinson's disease（PD）. MethodsA total of 60 patients with PD were enrolled and randomly assigned to test group or control group， with 30 patients in each group. The control group received levodopa only， starting at 100 mg per dose， three times daily， with gradual increases not exceeding a maximum daily dose of 800 mg. The test group received acupuncture three times per week in addition to levodopa. Both groups were treated for 12 weeks. Assessments were conducted before treatment， after 6 and 12 weeks treatment， using the Unified Parkinson's Disease Rating Scale（UPDRS）， Wearing-Off Questionnaire-9（WOQ-9）， Montreal Cognitive Assessment（MoCA）， Mini-Mental State Examination（MMSE）， Depression Rating Scale（DRS）， Hamilton Depression Scale（HAMD）， Hamilton Anxiety Scale（HAMA）， PD Questionnaire-39（PDQ-39）， and Pittsburgh Sleep Quality Index（PSQI）. Repeated measures ANOVA was utilized to evaluate the effects of time， group， and their interaction on each index. Spearman correlation analysis was conducted to examine the relationships between combined treatment and outcome scores. Adverse events in both groups were recorded throughout the study. ResultsBoth groups showed significant improvements after 6 and 12 weeks treatment， with decreases in UPDRS total score， WOQ-9 total score， DRS score， HAMD score， HAMA score， PDQ-39 score， and PSQI score， and increases in MoCA and MMSE scores（P＜0.05）. Compared with the control group， the test group demonstrated significantly greater improvements in all the above indicators after 6 and 12 weeks （P＜0.05）. Repeated measures ANOVA showed significant time main effects， group main effects， and their interaction across all outcome measures（P＜0.01）. Spearman correlation analysis revealed that combined therapy was significantly negatively correlated with UPDRS， WOQ-9， DRS， HAMD， HAMA， PDQ-39， and PSQI scores， while positively correlated with MoCA and MMSE scores after 12 weeks of treatment（P＜0.05）. Both groups did not experience any serious adverse events and did not affect treatment. ConclusionAcupuncture combined with levodopa is more effective than levodopa alone in improving motor function， non-motor symptoms， cognitive function， depression and anxiety， quality of life， and sleep quality in patients with PD， with good safety.

Through analyzing the every textual research literature on the origin of the location method of ashi points, it is pointed out that the location method of ashi points has been generalized. It is known through systematic research and theoretical identification that this method refers to the simple way to locate the points, originated from the folk, and it is widely used to find the sites for pain relief when compared to the official education of meridians and acupoints, as well as treatment. At the time with the shortage of medical services and supplies, the poor people had no alternative, which results in a certain limitation. Modern acupuncture practitioners must associate ashi points with the acupoints of fourteen meridians and the extraordinary points in clinical practice, and deepen the exploration with modern medical knowledge and technology adopted.
Humans ; Acupuncture Points ; Acupuncture Therapy/methods* ; Meridians ; History, Ancient ; Medicine in Literature ; China

Objective To observe the value of transvaginal two-dimensional ultrasonography(2D-TVS)combined with three-dimensional ultrasonography OmniView for diagnosing intrauterine adhesion(IUA).Methods Totally 200 women with suspected IUA were retrospectively enrolled,including 172 cases who were ultimately diagnosed IUA and the rest 28 without IUA.The efficacy of 2D-TVS combined with OmniView for diagnosing IUA was analyzed.Results Among 200 cases,150 cases were diagnosed IUA with 2D-TVS(135 cases were diagnosed correctly),167 cases were diagnosed IUA with OmniView(159 cases were diagnosed correctly),and 170 cases were diagnosed with combination of the above two(165 cases were diagnosed correctly).The area under the curve(AUC)of 2D-TVS,OmniView and 2D-TVS combined with OmniView for diagnosing IUA was 0.625,0.819 and 0.890,respectively,and 2D-TVS combined with OmniView had the highest AUC(both P＜0.05),with sensitivity of 95.93％,specificity of 82.14％,positive predictive value of 97.06％and negative predictive value of 76.67％.Conclusion 2D-TVS combined with OmniView could be helpful for diagnosing IUA.

Objective To observe the value of transvaginal two-dimensional ultrasonography(2D-TVS)combined with three-dimensional ultrasonography OmniView for diagnosing intrauterine adhesion(IUA).Methods Totally 200 women with suspected IUA were retrospectively enrolled,including 172 cases who were ultimately diagnosed IUA and the rest 28 without IUA.The efficacy of 2D-TVS combined with OmniView for diagnosing IUA was analyzed.Results Among 200 cases,150 cases were diagnosed IUA with 2D-TVS(135 cases were diagnosed correctly),167 cases were diagnosed IUA with OmniView(159 cases were diagnosed correctly),and 170 cases were diagnosed with combination of the above two(165 cases were diagnosed correctly).The area under the curve(AUC)of 2D-TVS,OmniView and 2D-TVS combined with OmniView for diagnosing IUA was 0.625,0.819 and 0.890,respectively,and 2D-TVS combined with OmniView had the highest AUC(both P＜0.05),with sensitivity of 95.93％,specificity of 82.14％,positive predictive value of 97.06％and negative predictive value of 76.67％.Conclusion 2D-TVS combined with OmniView could be helpful for diagnosing IUA.

Objective To explore the value of ultrasound intelligent diagnostic system combined with mammography for differentiating benign and malignant non-mass breast lesions(NMBL).Methods Totally 107 patients with NMBL were retrospectively enrolled,including 64 cases of malignant(malignant group)and 43 cases of benign lesions(benign group).Clinical,routine ultrasound,ultrasound intelligent diagnostic system(artificial intelligence[AI]system)and mammography data were compared between groups.Logistic regression analysis was performed,receiver operating characteristic(ROC)curves were drawn,the areas under the curves(AUC)were calculated,and the efficacy of AI system combined with mammography for differentiating benign and malignant NMBL was analyzed.Results Significant differences of the maximum diameter of lesion,ratio of axillary lymph node enlargement and suspected malignant calcification on mammography,as well as of AI system malignancy risk and AI system breast imaging reporting and data system(BI-RADS)classification were found between groups(all P＜0.05).AI system binary classification was obtained based on AI system malignancy risk.The AUC of suspected malignant calcification on mammography,AI system BI-RADS classification and AI system binary classification for differential diagnosis of benign and malignant NMBL was 0.840,0.810 and 0.817,respectively,while of suspected malignant calcification on mammography combined with AI system BI-RADS classification or AI system binary classification were both 0.856,higher than that of AI system BI-RADS classification/AI system binary classification alone(both P＜0.05)but not significantly different with that of suspected malignant calcification on mammography alone(both P＞0.05).Logistic regression analysis of age,the maximum diameter of lesion,axillary lymph node enlargement and suspected malignant calcification on mammography combined with AI system malignancy risk(model 1),AI system BI-RADS classification(model 2)or AI system binary classification(model 3)showed that suspected malignant calcification on mammography,AI system malignancy risk,AI system BI-RADS classification and AI system binary classification were all independent risk factors of malignant NMBL(all P＜0.05),and AUC of model 1,2 and 3 for differentiating benign and malignant NMBL was 0.966,0.964 and 0.957,respectively.Conclusion Ultrasound intelligent diagnostic system combined with mammography was helpful for differentiating benign and malignant NMBL.Combining with clinical indicators might improve diagnostic efficacy.

Objective:To explore the optimization potential of clinical target volume (CTV) delineation proposed in the guidelines of the Oncology Group (RTOG), the Francophone Group of Urological Radiotherapy (GFRU), and the European Society for Radiotherapy and Oncology (ESTRO) based on prostate bed local occurrence patterns after radical prostatectomy identified using prostate-specific membrane antigen positron emission tomography (PSMA PET).Methods:A retrospective analysis was conducted on patients with local prostate bed recurrence after radical prostatectomy who underwent PSMA PET at the Department of Nuclear Medicine, Peking University First Hospital from September 2021 to February 2024. The central point of each recurrence was marked. A six-zone method was established based on prostate bed anatomy and the characteristics of cross-sectional imaging. Then, the positional relationships (within or outside) were recorded with respect to recurrences and CTV defined by the RTOG, GFRU, and ESTRO (CTV RTOG, CTV GFRU, and CTV ESTRO), followed the analysis of the recurrence rates and distribution characteristics of various zones. Results:A total of 63 patients with prostate bed recurrence after radical prostatectomy were enrolled in this study, including 97 recurrences. The recurrence rates in the six zones were as follows: 10% of zone 1, 22% of zone 2, 29% of zone 3, 2% of zone 4, 12% of zone 5a, 18% of zone 5b, and 7% of zone 6. Among these zones, zones 2 and 3 showed the highest and second-highest recurrence rates, respectively. CTV GFRU and CTV ESTRO completely covered zones 2 and 3, while CTV RTOG covered zone 2 completely and zone 3 partially. Zone 4, characterized by a low recurrence rate, was not covered by CTV GFRU and CTV ESTRO but was entirely covered by CTV RTOG. Zone 5a, with a recurrence rate of 12%, was completely covered by CTV RTOG but was partially covered by CTV GFRU and CTV ESTRO. The range of 1.3 cm in front of the posterior wall of the bladder covered all recurrences in zone 5a. Conclusions:For CTV delineation of the prostate cancer surgical bed, zone 4, the anterior half of the bladder above the pubic symphysis midpoint, should be contracted due to the low recurrence rate in this zone. In contrast, the anterior boundary above the pubic symphysis midpoint should extend to 1.3 cm in front of the posterior wall of the bladder to completely cover the recurrence zones.

Objective:To assess the rationality of the maximum lesion diameter of 15 mm in prostate imaging reporting and data system(PI-RADS)as a criterion for upgrading a lesion from category 4 to 5 and improve it to enhance the prediction of clinically significant prostate cancer(csPCa).Methods:In this study,the patients who underwent prostate magnetic resonance imaging(MRI)and prostate biopsy at Peking University First Hospital from 2019 to 2022 as a development cohort,and the patients in 2023 as a validation cohort were reviewed.The localization and maximum diameter of the lesion were fully evalua-ted.The area under the curve(AUC)and the cut-off value of the maximum diameter of the lesion to pre-dict the detection of csPCa were calculated from the receiver operating characteristics(ROC)curve.Confounding factors were reduced by propensity score matching(PSM).Diagnostic efficacy was com-pared in the validation cohort.Results:Of the 589 patients in the development cohort,358(60.8％)lesions were located in the peripheral zone and 231(39.2％)were located in the transition zone,and 496(84.2％)patients detected csPCa.The median diameter of the lesions in the peripheral zone was smaller than that in the transition zone(14 mm vs.19 mm,P＜0.001).In the ROC analysis of the maximal diameter on the csPCa prediction,there was no statistically significant difference between the peri-pheral zone(AUC=0.709)and the transition zone(AUC=0.673,P=0.585),and the cut-off values were calculated to be 11.5 mm for the peripheral zone and 16.5 mm for the migrating zone.By calcula-ting the Youden index for the cut-off values in the validation cohort,we found that the categorisation by lesion location led to better predictive results.Finally,the net reclassification index(NRI)was 0.170.Conclusion:15 mm as a criterion for upgrading the PI-RADS score from 4 to 5 is reasonable but too general.The cut-off value for peripheral zone lesions is smaller than that in transitional zone.In the future consideration could be given to setting separate cut-off values for lesions in different locations.

Selecting high-quality patient report outcome measures for patients with liver transplantation may properly assess health condition from their perspective, assist nurses in identifying patients′ reports of health issues, and deliver targeted nursing care for them. This paper reviewed the current status of researches on measurement tools for patient reported outcomes in liver transplantation both domestically and internationally, including the content, characteristics, disadvantages and situation recommendations of the generic and specific measurement tools. The purpose is to provide a reference for choosing patient reported outcomes measurements, symptom management as well as the caring strategies in liver transplantation.