Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

OBJECTIVE To study the correlation between processing time, chroma value and UPLC fingerprint map of Dipsaci Radix. METHODS Established the UPLC fingerprint of Dipsaci Radix. Monitored the changes of chemical components in the processing process of wine and salt processed Dipsaci Radix, spectrophotometer was used to objectively quantify the chroma value of different processed products. SPSS 20.0 and SIMCA 14.0 statistical software was used to analyze the correlation between processing time and chroma value and fingerprint. RESULTS In the process of processing, the decoction pieces color of the powder deepened and L*, b* and E* values decreased. The correlation analysis showed that the processing time was significantly correlated with the chroma value and fingerprint of decoction pieces. CONCLUSION The method of UPLC fingerprint is stabled and reliabled, combines with the objective discriminant analysis of the chroma value of the Dipsaci Radix processed products, which lay the foundation for standardizing the processing technology of wine and salt processed products and evaluating the quality of Dipsaci Radix.

Objective To establish a distraction osteogenesis SD rat model for exploring the effect of total flavonoids from Rhizoma Drynariae on the quality of rat bone formation in the process of distraction osteogenesis from the perspective of tomography.Methods Twenty-four rats were randomly divided into experimental group and control group after successful modeling,and were respectively given intragastric administration with total flavonoids from Rhizoma Drynariae(in dose of 77.125 mg/kg) and saline for 8 weeks.Seven days after operation,the tibias of all the rats were given distraction at the speed of 0.2 mm for 20 days.Eight weeks after the operation,X-ray examination for all the rats was performed,and then the rats were killed for obtaining the tibia samples for Micro-CT scanning.The differences of X-ray Lane-Sandhu scores,the bone mineral density and bone mineral content were compared between the two groups.Results The X-ray Lane-Sandhu scores,the bone mineral density and bone mineral contents showed by Micro-CT scanning in the experimental group were higher than those in the control group,and the differences were statistically significant (P ＜ 0.05).Conclusion The total flavonoids from Rhizoma Drynariae can improve the quality of bone formation in the process of distraction osteogenesis in rats.

Objective To investigate the ultrasound characteristics of microinvasive breast carcinoma (MBC),and to improve its detection rate.Methods Sixty-five MBC,85 breast ductal carcinoma in situ (DCIS)and 99 breast invasive ductal carcinoma(IDC)confirmed by pathology were divided into mass type and ductal type according to ultrasonic manifestaions,and the ultrasound characteristics were retrospectively analyzed.Results MBC showed 89.23%(58/65)mass type with 64 lesions and 10.77%(7/65)ductal type. DCIS showed 88.24% (75/85 )mass type with 78 lesions and 1 1 .76% (10/85 )ductal type.IDC group showed all mass type with 102 lesions.In MBC,most mass type lesions were solid and hypoechoic with a mean maximum diameter,which was larger than DCIS,but similar with IDC(P >0.05).More mass type lesions with irregular shape and calcification were found in MBC than in DCIS(P < 0.05 ),while similar with IDC(P >0.05).The detection rate of spiculate margin in mass type lesions of MBC was higher than DCIS(P <0.05),but lower than IDC(P <0.05).Less mass type lesions showed unclear border,high A/T ratio and hyperechoic halos in MBC than in IDC(P <0.05),but similar with DCIS(P >0.05).More ductal type lesions displayed indistinct duct wall in MBC than DCIS(P <0.05 ).Meanwhile,MBC had a higher detection rate of internal blood flow(grade 2-3)than DCIS.Conclusions There are more lesions with large diameter,irregular shape,short spiculate margin and calcification in MBC than DCIS.Compared with IDC, MBC lesions are atypical in spiculate margin,and less lesions show hyperechoic halos and high A/T ratio. To be familiar with ultrasound characteristics of MBC is significant for improving its ultrasound detection rate.

Objective:To study the protective effect of telmisartan on rats with renal failure and its mechanism. Methods:60 Wistar rats were chosen as study objective, and were divided into 4 groups randomly:15 in group A (sham operation group), 15 in group B (model group), 15 in group C (telmisartan group) and 15 in group D (telmisartan+GW9962 group). The difference of survival rate, blood-urine biochemical indexes, renal pathological change, and the expression level of PPARγ and nNOS were compared. Results:After 12 weeks, the survival rate of group A was 93.33%(14/15), that of group B was 46.67%(7/15), that of group C was 86.67%(13/15), that of group D was 60.00%(9/15), and the difference among 4 groups had statistical significance (P<0.05). After 1 week, the difference of Scr, that of BUN and that of 24h protein urine among 4 groups was not statistical significant (P>0.05);after 3 weeks, 6 weeks and 12 weeks, these difference was statistical significant (P<0.05). The difference of blood-urine biochemical indexes, that of renal pathological change, and that of the expression level of PPAR毭and nNOS was statistical significant (P<0.05). Conclusions:Telmisartan has protective effect on renal failure caused by 5/6 nephrectomy, which might be relative to the expression level of PPARγ and nNOS.

Objective To investigate the value of color Doppler ultrasonography in diagnosis and differential diagnosis of breast sclerosing adenosis (SA).Methods Preoperative sonography in 32 SA,99 invasive ductal carcinoma(IDC),51 ductal carcinoma in situ(DCIS) and 64 fibroadenoma(FA) confirmed by pathology were retrospectively analyzed.Results The average age of SA group was younger than IDC and DCIS groups',but older than FA group's (P ＜0.05).The focal maximum diameter of SA group was the smallest among all(P ＜0.05).All the SA sonograms showed solid hypoechoic lesions,with spiculate margin was less than IDC group and larger than DCIS and FA groups (P ＜0.05).Similar ultrasonic characteristics,such as irregular shape,unclear border,acoustic halos were seen in SA and DCIS groups (P ＞0.05),while IDC group showed the highest rate and FA group had the least(P ＜0.05).SA masses' uneven internal echo,calcification,posterior acoustic attenuation was higher than FA group(P ＜0.05),but less than IDC and DCIS groups(P ＞0.05).Meanwhile,A/T ratios(≥0.7) were higher than DCIS and FA groups,but less than IDC group(P ＞0.05).In addition,SA group had a similar detection rate of the internal blood flow with FA group(P ＞0.05),but less than the IDC and DCIS groups(P ＜0.05).Conelusions Ultrasonography has a significant clinical value in diagnosis and differential breast sclerosing adenosis.

Objective To compare the ultrasonic and mammographic appearances of breast chronic inflammation (BCI). Methods The ultrasonic and mammographic features of 20 pathologically conifrmed BCI cases were analyzed retrospectively. All cases were of single lesion. Fisher deifnite probability method was used to compare the differences between ultrasonic and mammographic appearances as well as the diagnostic coincidence rate. Results Under ultrasonography, the mean longitudinal diameter/transverse diameter (L/T) ratio of 20 lessions was calcultated as 0.47±0.15, 17 lesions were of irregular shape, unclear boundary and inhomogeneous hypoecho, 13 lesions were of posterior echo enhancement, the blood lfow of 10 lesions belonged to 0-Ⅰ, and the other 10 belonged toⅡ-Ⅲ. The lesion shape, boundary and homogeneity detected by mammography were coincident to those by ultrasonography (P=1.00, 1.00, 0.61, respectively). In 5 lesions, dotted high-echoes were detected by ultrasonography, however no calciifcation was found by mammography. Meanwhile, 1 lesion with sporadic calciifcation detected by mammography was missed by ultrasonography. Ultrasonography detected 5 cases with axillary lymphadenopathy, in which only 1 case was found by mammography. The diagnostic coincidence rate of ultrasonography was 40%(8/20), which was obviously higher than 6% (1/16) by mammography (P=0.03). Conclusion BCI possesses certain ultrasonographic characteristics, and ultrasonography combined with mammography will be helpful for the differential diagnosis of malignant and benign diseases.

Objective To investigate the ultrasonic characteristics of invasive micropapillary carcinoma(IMPC) of breast and the metastatic lymph nodes,and to evaluate the value of ultrasonography for preoperative TNM staging.Methods The ultrasonic characteristics of 16 IMPC and 81 invasive ductal carcinoma (IDC) confirmed by pathology,as well as the metastatic lymph nodes were analyzed retrospectively.The TNM-staging for IMPC by preoperative ultrasonography was evaluated according to pathology.Results Compared with IDC group,the masses showed higher A/T ratio (＜ 0.7),larger maximum diameter,more calcification,unclear border and lymph node metastasis rate,while less acoustic halo in IMPC group.Meanwhile,similar ultrasonic characteristics,such as irregular shape,uneven internal echo,spiculate margin,posterior acoustic attenuation and internal blood flow were seen in IMPC and IDC groups (P ＞0.05).According to pathology,the ultrasonic coincidence rate for T staging was 56.3 ％,and T2-staging was 85.7％.The sensitivity,specificity,positive predictive value and negative predictive value of ultrasonic diagnosis on lymph node metastases was 70.0％,83.3％,87.5％ and 62.5％,respectively.Conclusions Ultrasonography displayed more typical malignant signs,higher lymph node metastasis rate and diagnosis accuracy for IMPC,which possessed certain value for preoperative TNM staging.

OBJECTIVETo classify Pueraria lobata originated from different geographical regions based on ITS,psbK-psbI and trnH-psbA information.

METHODTwenty-four samples of P. lobata were collected from northeast China, north China, central China and northwest China. DNA extraction, PCR, sequence and genotypes/haplotypes analysis were performed .

RESULTITS1, 5.8S and ITS2 varied only 1 bp respectively, psbK-psbI 2 bps; trnH-psbA varied 1 bp and 10 bp deletion.

CONCLUSIONBased on the variation of ITS,psbK-psbI and trnH-psbA, 4 genotypes and 2 haplotypes were identified, respectively.