Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective:To investigate the expression levels and clinical significance of miR-627 and miR-448 in colorectal cancer tissues.Methods:Ninety-eight patients with colorectal cancer admitted to Xi’an Jiaotong University Affiliated Red Cross Hospital from Apr. 2019 to Apr. 2021 were gathered. Colorectal cancer tissue and adjacent tissues were collected during surgery, and the expression levels of miR-627 and miR-448 were detected by qRT-PCR. According to postoperative follow-up, patients were separated into a good prognosis group and a poor prognosis group. Kaplan-Meier survival curve was applied to analyze the relationship between miR-627, miR-448 and the prognosis of colorectal cancer patients. ROC curve was plotted to analyze the predictive value of miR-627 and miR-448 for poor prognosis in colorectal cancer. The prognostic factors of colorectal cancer patients were analyzed using COX regression.Results:There was a difference in the expression levels of miR-627 and miR-448 between colorectal cancer tissue and adjacent tissues ( P<0.05). The expression of miR-627 and miR-448 in colorectal cancer tissue was related to clinical features (TNM stage, differentiation degree, lymph node metastasis, and depth of infiltration) ( P<0.05). The survival rate of patients with high expression of miR-627 was higher than that of patients with low expression ( χ2=10.050, P<0.05); the survival rate of patients with high expression of miR-448 was higher than that of patients with low expression ( χ2=9.033, P<0.05). The expression levels of miR-627 and miR-448 in the poor prognosis group were greatly lower than those in the good prognosis group ( P<0.05). According to the ROC curve, the AUC of miR-627 in predicting poor prognosis of colorectal cancer was 0.811, the AUC of miR-448 in predicting poor prognosis of colorectal cancer was 0.772, and the AUC of combination of the two in predicting poor prognosis of colorectal cancer was 0.859. The combination of the two was better than their individual predictions (Z combination vs. miR-627=2.538, Z combination vs. miR-448=2.572, P<0.05). Multivariate COX regression found that miR-627, miR-448, and clinical features (TNM stage, degree of differentiation, lymph node metastasis, and depth of infiltration) were risk factors affecting the prognosis of colorectal cancer patients ( P<0.05) . Conclusion:The expression levels of miR-627 and miR-448 in colorectal cancer tissues were greatly reduced. The combination of the two is related to the clinical characteristics and prognosis of patients, and can greatly improve the predictive value for prognosis of colorectal cancer patients.

Objective:To design a safe and convenient temperature-controlled enema device and to verify its effectiveness in enema operation.Methods:This study was a quasi experimental research. A total of 60 patients who were hospitalized in Jilin Provincial Cancer Hospital from October 2023 to January 2024 were selected as the control group, and 60 patients who underwent enema from February to May 2024 were selected as the experimental group adopting convenience sampling method. The control group used traditional enema operation method, while the experimental group used an integrated temperature controlled enema device for enema operation. The heating time of enema solution, retention time of enema solution in the intestine, patient satisfaction rate, and nursing staff satisfaction rate were compared between the two groups before enema operation.Results:There were 39 males and 21 females in the control group, aged (54.78 ± 10.66) years, and 42 males and18 females in the experimental group, aged (56.15 ± 9.88) years. The warming time of enema fluid in the experimental group was 17.00 (15.25, 18.00) s, which was lower than 55.00 (47.00, 59.75) s in the control group, and the difference was statistically significant ( Z = - 9.47, P<0.01). The intraintestinal retention time of enema fluid in the experimental group was 9.50 (9.00, 10.00) min, which was greater than 7.00 (6.00, 8.75) min in the control group, and the difference was statistically significant ( Z = - 7.93, P<0.01); the satisfaction rate of the experimental group was 96.67% (58/60), which was higher than 73.33% (44/60) in the control group, and the difference was statistically significant ( χ2 = 12.81, P<0.01); the satisfaction rate of the nursing staff in the experimental group was 96.00% (48/50), which was higher than 66.00% (33/50) in the control group, and the difference was statistically significant ( χ2 = 14.62, P<0.01). Conclusions:The integrated temperature-controlled enema device reduces the tediousness of nursing operation. It improves the rate of complete preparation of goods, patient satisfaction and nursing staff satisfaction, thereby ensuring efficacy and patient safety.

Objective:To investigate the expression levels and clinical significance of miR-627 and miR-448 in colorectal cancer tissues.Methods:Ninety-eight patients with colorectal cancer admitted to Xi’an Jiaotong University Affiliated Red Cross Hospital from Apr. 2019 to Apr. 2021 were gathered. Colorectal cancer tissue and adjacent tissues were collected during surgery, and the expression levels of miR-627 and miR-448 were detected by qRT-PCR. According to postoperative follow-up, patients were separated into a good prognosis group and a poor prognosis group. Kaplan-Meier survival curve was applied to analyze the relationship between miR-627, miR-448 and the prognosis of colorectal cancer patients. ROC curve was plotted to analyze the predictive value of miR-627 and miR-448 for poor prognosis in colorectal cancer. The prognostic factors of colorectal cancer patients were analyzed using COX regression.Results:There was a difference in the expression levels of miR-627 and miR-448 between colorectal cancer tissue and adjacent tissues ( P<0.05). The expression of miR-627 and miR-448 in colorectal cancer tissue was related to clinical features (TNM stage, differentiation degree, lymph node metastasis, and depth of infiltration) ( P<0.05). The survival rate of patients with high expression of miR-627 was higher than that of patients with low expression ( χ2=10.050, P<0.05); the survival rate of patients with high expression of miR-448 was higher than that of patients with low expression ( χ2=9.033, P<0.05). The expression levels of miR-627 and miR-448 in the poor prognosis group were greatly lower than those in the good prognosis group ( P<0.05). According to the ROC curve, the AUC of miR-627 in predicting poor prognosis of colorectal cancer was 0.811, the AUC of miR-448 in predicting poor prognosis of colorectal cancer was 0.772, and the AUC of combination of the two in predicting poor prognosis of colorectal cancer was 0.859. The combination of the two was better than their individual predictions (Z combination vs. miR-627=2.538, Z combination vs. miR-448=2.572, P<0.05). Multivariate COX regression found that miR-627, miR-448, and clinical features (TNM stage, degree of differentiation, lymph node metastasis, and depth of infiltration) were risk factors affecting the prognosis of colorectal cancer patients ( P<0.05) . Conclusion:The expression levels of miR-627 and miR-448 in colorectal cancer tissues were greatly reduced. The combination of the two is related to the clinical characteristics and prognosis of patients, and can greatly improve the predictive value for prognosis of colorectal cancer patients.

Nanobodies(Nb)have become novel probes for PET imaging instead of traditional antibodies,which have broad application prospects due to advantages of small molecular weight,strong stability and permeability,passing through the blood-brain barrier and low immunogenicity.The research progresses of structural characteristics of Nb,labeling methods of positron isotopes and application of labeled products in PET imaging were reviewed in this article.

Nanobodies(Nb)have become novel probes for PET imaging instead of traditional antibodies,which have broad application prospects due to advantages of small molecular weight,strong stability and permeability,passing through the blood-brain barrier and low immunogenicity.The research progresses of structural characteristics of Nb,labeling methods of positron isotopes and application of labeled products in PET imaging were reviewed in this article.

Objective:To design a safe and convenient temperature-controlled enema device and to verify its effectiveness in enema operation.Methods:This study was a quasi experimental research. A total of 60 patients who were hospitalized in Jilin Provincial Cancer Hospital from October 2023 to January 2024 were selected as the control group, and 60 patients who underwent enema from February to May 2024 were selected as the experimental group adopting convenience sampling method. The control group used traditional enema operation method, while the experimental group used an integrated temperature controlled enema device for enema operation. The heating time of enema solution, retention time of enema solution in the intestine, patient satisfaction rate, and nursing staff satisfaction rate were compared between the two groups before enema operation.Results:There were 39 males and 21 females in the control group, aged (54.78 ± 10.66) years, and 42 males and18 females in the experimental group, aged (56.15 ± 9.88) years. The warming time of enema fluid in the experimental group was 17.00 (15.25, 18.00) s, which was lower than 55.00 (47.00, 59.75) s in the control group, and the difference was statistically significant ( Z = - 9.47, P<0.01). The intraintestinal retention time of enema fluid in the experimental group was 9.50 (9.00, 10.00) min, which was greater than 7.00 (6.00, 8.75) min in the control group, and the difference was statistically significant ( Z = - 7.93, P<0.01); the satisfaction rate of the experimental group was 96.67% (58/60), which was higher than 73.33% (44/60) in the control group, and the difference was statistically significant ( χ2 = 12.81, P<0.01); the satisfaction rate of the nursing staff in the experimental group was 96.00% (48/50), which was higher than 66.00% (33/50) in the control group, and the difference was statistically significant ( χ2 = 14.62, P<0.01). Conclusions:The integrated temperature-controlled enema device reduces the tediousness of nursing operation. It improves the rate of complete preparation of goods, patient satisfaction and nursing staff satisfaction, thereby ensuring efficacy and patient safety.

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.