1.Analysis of the safety, economic benefit and social psychological satisfaction of day breast conserving surgery for breast cancer
Jiao ZHOU ; Xiaoxiao XIAO ; Jiabin YANG ; Yu FENG ; Huanzuo YANG ; Mengxue QIU ; Qing ZHANG ; Yang LIU ; Mingjun HUANG ; Peng LIANG ; Zhenggui DU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):160-166
Objective To investigate the safety, economic benefits and psychological effects of day breast conserving surgery for breast cancer. Methods The demographic data and clinical data of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgeries in West China Hospital of Sichuan University from March 2020 to June 2021 were retrospectively collected; the demographic data, clinical data, medical and related transportation costs, and preoperative and postoperative BREAST-Q scores of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgery in West China Hospital of Sichuan University from June 2021 to June 2022 were prospectively collected. The safety, economic benefit, and psychological satisfaction of day surgery was analyzed. Results A total of 42 women with breast cancer were included in the retrospective study and 39 women with breast cancer were included in the prospective study. In both prospective and retrospective studies, the mean age of patients in both groups were <50 years. There were only statistical differences between the two groups in the aspects of hypertension (P=0.022), neoadjuvant chemotherapy (P=0.037) and postoperative pathological estrogen receptor (P=0.033) in the prospective study. In postoperative complications, there were no statistical differences in the surgical-related complications or anesthesia-related complications between the two groups in either the prospective study or the retrospective study (P>0.05). In terms of the overall cost, we found that the day surgery group was more economical than the ward surgery group in the prospective study (P=0.002). There were no statistical differences in postoperative psychosocical well-being, sexual well-being, satisfaction with breasts or chest condition between the two groups (P>0.05). Conclusion It is safe and reliable to carry out breast conserving surgery in day surgery center under strict management standards, which can save medical costs and will not cause great psychological burden to patients.
2.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
3.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
4.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
5.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
6.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
7.Construction and evaluation of a multi-base collaborative training system for anticoagulation specialty clinical pharmacists
Shujie DONG ; Liping DU ; Yatong ZHANG ; Zheng DING ; Wenxing PENG ; Zinan ZHAO ; Xiaoxiao LI ; Li YANG
China Pharmacy 2025;36(15):1837-1840
OBJECTIVE To enhance the training quality of anticoagulation specialty clinical pharmacists, address the resource limitations of a single training base, and promote homogenization of training quality. METHODS A multi-base joint training system for anticoagulation specialty clinical pharmacists in the Beijing area was established. A mixed research method was employed, collecting data through performance comparisons, questionnaires, and qualitative interviews to compare the differences between the joint training model (experimental group, n=16) and traditional teaching model (the control group, n=17). RESULTS The established joint training system encompassed a unified joint training teaching plan, the formation of a joint training teaching team, the establishment of joint theoretical teaching courses, the implementation of joint case discussions and literature presentations, as well as strengthening the assessment throughout the joint training process. Compared to the control group [theoretical assessment of (76.44±3.66) points, case assessment of (84.31±3.27) points], the experimental group students achieved higher scores in theoretical assessment ([ 79.85±4.64) points] and case assessment ([ 88.70±5.51) points] (P<0.05). Through questionnaires and qualitative interviews, the trainees in experimental group were highly satisfied with the joint training model in terms of theoretical learning, communication skills, and teaching interaction. CONCLUSIONS The multi-base collaborative training system for anticoagulation specialty clinical pharmacists can integrate advantageous resources and significantly enhance the training effectiveness of anticoagulation specialty clinical pharmacists, offering value for wider promotion.
8.The influence of microvessel density and microlymphatic vessel density on prognosis in hypopharyngeal carcinoma and the construction.
Cong XU ; Lanzhen CUI ; Xiaoxiao LIU ; Jing BAI ; Lijun ZHANG ; Yu PENG ; Xiaoming LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(12):1143-1149
Objective:This study aims to investigate the influence of microvessel density(MVD) and microlymphatic vessel density(MLVD) on the prognosis of patients with hypopharyngeal squamous cell carcinoma(HPSCC) and to develop a nomogram prediction model for prognosis based on pathological characteristics. Methods:A retrospective analysis was conducted on clinicopathological and follow-up data from HPSCC patients who underwent surgical treatment at our institution between June 2010 and June 2020. Immunohistochemical staining was performed on tumor tissues and adjacent normal margin tissues to evaluate MVD and MLVD. The associations among MVD, MLVD, and clinicopathological features were analyzed. Univariate and multivariate Cox regression analyses were conducted to identify independent risk factors affecting overall survival(OS). Based on these findings, a nomogram model was constructed and its predictive accuracy was assessed using C-index, receiver operating characteristic(ROC) curve, and calibration curve. Results:Both MVD and MLVD were significantly higher in HPSCC tumor tissues compared to normal tissues. Patients in the high MVD and high MLVD groups exhibited significantly lower OS rates than those in the low MVD and low MLVD groups. Multivariate Cox regression analysis revealed that N stage, recurrence, nerve invasion, lymph node capsule invasion, MVD, and MLVD were independent prognostic factors of OS. Based on these factors, a nomogram prognosis model was successfully constructed. The nomograms demonstrated superior performance in terms of C-index, area under the ROC curve, and calibration, outperforming the AJCC TNM staging system. Conclusion:Elevated MVD and MLVD levels are associated with poorer prognosis in HPSCC patients. The nomogram model based on pathological features provides valuable insights for clinical assessment and decision-making.
Humans
;
Hypopharyngeal Neoplasms/blood supply*
;
Prognosis
;
Retrospective Studies
;
Microvascular Density
;
Nomograms
;
Lymphatic Vessels/pathology*
;
Male
;
Female
;
Middle Aged
;
Carcinoma, Squamous Cell/blood supply*
;
Microvessels/pathology*
;
Lymphatic Metastasis
;
Survival Rate
9.Progress in the regulation of mammalian embryonic development and reproduction by bone morphogenetic proteins.
Hongyu JIA ; Honghong HE ; Peng WANG ; Xiaoxiao HUANG ; Wenyi CAI ; Yaying WANG ; Jian LI ; Daoliang LAN ; Huizhu ZHANG
Chinese Journal of Biotechnology 2025;41(7):2534-2544
Bone morphogenetic proteins (BMPs) are multifunctional growth factors of the transforming growth factor β (TGF-β) superfamily. They regulate steroid secretion from mammalian granulosa cells, promote granulosa cell survival and proliferation, and inhibit follicular atresia, luteinization, and granulosa cell apoptosis, thereby promoting the development and maturation of mammalian follicles. At the same time, BMPs play an important role in embryonic morphogenesis, induction of uterine receptivity, and blastocyst attachment. This paper describes the effects of BMPs on mammalian follicular and embryonic development and the roles of BMPs in female reproduction, focusing on the process in which BMPs promote follicular maturation by regulating steroid secretion from granulosa cells during mammalian oocyte maturation. This review aims to provide a reference for further research on mammalian oocyte culture and improvement of reproductive efficiency in female animals.
Animals
;
Embryonic Development/drug effects*
;
Female
;
Bone Morphogenetic Proteins/pharmacology*
;
Reproduction/physiology*
;
Humans
;
Granulosa Cells/cytology*
;
Oocytes
10.Establishment and Evaluation of Animal Model of Acute Myocardial Infarction with Syndrome of Qi and Yin Deficiency
Yunxiao GAO ; Qiuyan ZHANG ; Juqin PENG ; Hao GUO ; Xiaoxiao CHEN ; Wei HAO ; Longxiao HU ; Yali SHI ; Junguo REN ; Jianxun LIU
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(4):134-142
ObjectiveTo explore the establishment and evaluation methods of the rat model of acute myocardial infarction (AMI) in coronary heart disease with the syndrome of Qi and Yin deficiency by sleep deprivation (SD) combined with isoproterenol (ISO) and preliminarily explore its biological basis. MethodForty SD rats were assigned into normal (no treatment), SD (treatment in modified multi-platform water environment for 96 h), ISO (subcutaneous injection of ISO at 100 mg·kg-1 once every other day for a total of 2 times), and SD+ISO (injection of 100 mg·kg-1 ISO after SD for 72 h and 96 h) groups. The cardiac function was detected by small animal echocardiography. The serum levels of creatine kinase (CK), creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), and cardiac troponin T (cTnT) were measured by biochemical methods. The pathological changes of the myocardial tissue were observed by hematoxylin-eosin staining. The general state, body weight, grip strength, body temperature, behaviors in open field test, serum levels of cyclic adenosine monophosphate (cAMP), cyclic guanosine monophosphate (cGMP), cAMP/cGMP ratio, red (R), green (G), blue (B) values of the tongue surface, and pulse amplitude were observed and measured to evaluate the modeling results. Enzyme-linked immunosorbent assay was employed to determine the serum levels of interleukin-18 (IL-18), tumor necrosis factor-α (TNF-α), superoxide dismutase (SOD), malondialdehyde (MDA), corticotropin-releasing factor (CRF), adrenocorticotropic hormone (ACTH), triiodothyronine (T3), tetraiodothyronine (T4), cluster of differentiation 4 (CD4), and cluster of differentiation 8 (CD8). ResultIn terms of disease indicators, the ISO and SD+ISO groups had lower cardiac function indicators than the normal group (P<0.01). The levels of CK, CM-MB, LDH and cTnT elevated in each model group compared with the normal group (P<0.01). The pathological changes of myocardial tissue were obvious in the ISO and SD+ISO groups. In terms of syndrome indicators, compared with the normal group, the SD and SD+ISO groups showed decreased body weight at each time point (P<0.01), and the ISO group showed decreased body weight at the time points of 48 h and 72 h (P<0.05, P<0.01). The paw temperature and rectal temperature increased in the SD group (P<0.01). The model groups showed weakened grasp strength, lowered R, G, and B values of the tongue surface (P<0.01), prolonged immobility time (P<0.01), reduced total distance and number of entering the central area (P<0.01), decreased average speed (P<0.05, P<0.01), and increased cAMP and cGMP (P<0.05, P<0.01). The cAMP/cGMP ratio was increased in the SD+ISO group (P<0.01), and the pulse amplitude was decreased in the SD and SD+ISO groups (P<0.01). In terms of serological indicators,compared with the normal group, the levels of IL-18, TNF-α, SOD and MDA were significantly increased in the ISO and SD+ISO groups (P<0.01), the CRF, ACTH, CORT, T3, T4, CD4 and CD8 in the model groups were increased (P<0.05, P<0.01). ConclusionSleep deprivation for 96 h combined with high-dose ISO can successfully establish a rat model of acute myocardial infarction in coronary heart disease with the syndrome of Qi and Yin deficiency. The model evaluation system can be built with disease indicators of western medicine, histopathological indicators, macroscopic indicators of traditional Chinese medicine, and serological indicators.

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