Objective To observe the value of deep learning(DL)reconstruction algorithm for improving imaging quality of accelerated T2WI of cervical tumors.Methods A total of 43 patients with suspected cervical tumors were prospectively enrolled.Cervical conventional T2WI and accelerated T2WI based on DL reconstruction(DL-T2WI)were acquired.The imaging quality was subjectively assessed by 2 physicians using a 4-point system,including overall image quality,artifact,noise,sharpness and lesion detectability scores,and then were compared between conventional T2WI and DL-T2WI.Results The acquisition of conventional T2WI took 116 s,while of DL-T2WI took 101 s.The inter-observer consistency of subjective evaluation results on the overall image quality,artifact,noise,sharpness and lesion detectability scores were all excellent(Kappa=0.851-0.969).No significant difference of subjective evaluation results on overall image quality nor lesion detectability scores was found between conventional T 2WI and DL-T2WI(both P＞0.05),while the artifact and sharpness scores of DL-T2WI were significantly higher but the noise score was significantly lower than those of conventional T2WI(all P＜0.05).Conclusion DL reconstruction algorithm was helpful for improving imaging quality of accelerated T 2WI of cervical tumors.

Objective:To investigate the denoising performance of different deep learning (DL) strategies on low-dose brain 18F-FDG PET images. Methods:This retrospective methodological study was conducted on brain PET/CT images of 50 patients (35 males, 15 females, age 20-87 years) who received 3.7MBq/kg 18F-FDG at the Fifth Affiliated Hospital of Sun Yat-sen University between May 2023 and January 2024. Full-dose PET data were acquired with 2min scan. CT scans were acquired before PET scanning. Low-dose PET sinograms were generated by down-sampling the full-dose list mode data to 1/2, 1/4, and 1/20 of full-dose count level. Both full-dose and low-dose sinograms were reconstructed with random, CT-based attenuation and scatter corrections using the three-dimensional (3D) ordered-subsets expectation maximization (OSEM) algorithm (2 iterations, 20 subsets). A total of 4 DL denoising methods were established: (1) 3D conditional generative adversarial networks (GAN) using only low-dose PET as input (GAN-1); (2) 3D attention-based GAN (AttGAN) with low-dose PET input (AttGAN-1); (3) 3D AttGAN with low-dose PET and CT inputs (AttGAN-2); (4) 3D AttGAN with frequency-separation using low-dose PET and CT inputs (AttGAN-FS-2). For AttGAN-FS-2, during the frequency division process, high- and low-frequency components were extracted from the PET reconstructed images via Fourier transform, then inversed Fourier transform, denoised separately, and finally combined to produce the final denoised images. The dataset was separated into training (70%), validation (10%) and testing (20%) sets using simple random sampling without replacement with a fixed random seed. A 5-fold cross-validation scheme was then applied to test all 50 patients. Performance was evaluated against full-dose PET using normalized mean square error (NMSE), structural similarity (SSIM), peak signal-to-noise ratio (PSNR), contrast-to-noise ratio (CNR), SUV mean and SUV max bias of selected brain ROIs. Wilcoxon signed rank test was used to analyze the differences between the denoising methods. Results:AttGAN-FS-2 showed the best performance among all dose levels, with statistical difference as compared by low-dose PET and GAN-1 denoised images for NMSE, SSIM, PSNR, and CNR ( Z values: 2.92-6.15, all P<0.005). NMSE, SSIM quantitative evaluation results (median) of each model at 1/20 dose were: GAN-1: 0.08, 0.87, AttGAN-1: 0.08, 0.88, AttGAN-2: 0.07, 0.89, AttGAN-FS-2: 0.06, 0.91, respectively ( Z values: 3.24-5.77, all P<0.005). Conclusion:The DL-based method combined with multiple strategies AttGAN-FS-2 shows improved denoising performance for low-dose brain PET images.

Curcumae Rhizoma, derived from the rhizome of Curcuma phaeocaulis, Curcuma kwangsiensis and Curcuma wenyujin, was called Ezhu in China. In the past, Curcumae Rhizoma extracts were obtained through water decoction or alternative methods, which showed significant anti-cancer effects. However, the mixed extracts contain various compound components of Curcumae Rhizoma, leading to an ambiguous mechanism of action for Curcumae Rhizoma extracts anti-cancer. Contemporary researchers have extracted the chemical components of Curcumae Rhizoma separately for experimental verification of its active ingredients in the anti-cancer field. Numerous studies demonstrated that curcumol, germacrone, β-elemene, and curcumin in Curcumae Rhizoma extracts have significant governing effects in anti-cancer activities. Pharmacological studies have shown that Curcumae Rhizoma suppresses cancer cell proliferation, invasion, and migration, triggering apoptosis and regulating cellular autophagy to achieve anticancer effects. Here, we summarized the research progress of Curcumae Rhizoma on anti-cancer effects from 2013 to 2022, aiming to explore the deeper molecular mechanisms of Curcumae Rhizoma's active components in cancer treatment.

Chimeric antigen receptor T (CAR-T) cells have reshaped the treatment landscape of hematological malignancies, offering a potentially curative option for patients. Despite these major milestones in the field of immuno-oncology, growing experience with CAR-T cells has also highlighted several limitations of this strategy. The production process of CAR-T cells is complex, time-consuming, and costly, thus leading to poor drug accessibility. The potential carcinogenic risk of viral transfection systems remains a matter of controversy. Treatment-related side effects, such as cytokine release syndrome, can be life-threatening. And the biggest challenge is the inadequate efficacy related to poor infiltration and retention of CAR-T cells in tumor tissues and impaired T cell activation caused by the immunosuppressive tumor microenvironment (TME). Innovative strategies are urgently needed to address these problems, and nanomedicine offers good solutions to these challenges. In this review, we provide a comprehensive summary of recent advancements in the application of nanomaterials to enhance CAR-T cell therapy. We examine the role of innovative nanoparticle-based delivery systems in the production of CAR-T cells, with a particular focus on polymeric delivery systems and lipid nanoparticles (LNPs). Furthermore, we explore various strategies for delivering immune stimulators, which significantly enhance the efficacy of CAR-T cells by modulating T cell viability and functionality or by reprogramming the immunosuppressive TME. In addition, we discuss several novel therapeutic approaches aimed at mitigating the adverse effects associated with CAR-T therapies. Finally, we offer an integrated perspective on the future challenges and opportunities facing CAR-T therapies.
Humans ; Nanomedicine/methods* ; Receptors, Chimeric Antigen/metabolism* ; Immunotherapy, Adoptive/methods* ; T-Lymphocytes/immunology* ; Nanoparticles/chemistry* ; Animals

Objective To investigate the DSA imaging characteristics and efficacy of interventional treatment for post-pancreaticoduodenectomy hemorrhage(PPH),and to analyze the factors influencing recurrent bleeding following successful interventional hemostasis.Methods Clinical data of patients who underwent interventional treatment for PPH between January 2013 and December 2022 were retrospectively analyzed.All patients underwent DSA examination,and interventional therapy was the primary treatment option for patients with positive findings.Statistical analysis was performed on DSA angiography manifestations,bleeding sites,success rate of interventional treatment and hemostasis effectiveness.Univariate and multivariate logistic regression analysis were used to analyze the independent risk factors for rebleeding after interventional treatment for PPH.Results A total of 139 patients with PPH were included in this study.All 139 patients underwent DSA examination,with a positive rate of 82.01％(114/139)in the first examination.Major angiographic manifestations included contrast agent extravasation,pseudoaneurysm,and disrupted vascular architecture;bleeding sites included gastroduodenal artery in 45 cases(39.47％),hepatic artery in 22 cases(19.30％),and superior mesenteric artery in 32 cases(28.07％).107 patients underwent interventional treatment(81 embolization and 26 stenting),with a success rate of 91.59％(98/107).The independent risk factors for recurrent bleeding after interventional treatment in patients with PPH included preoperative bleeding(P＜0.001)and pancreatic fistula(P=0.041).Conclusion Interventional procedures for PPH can be efficient in diagnosis and treatment,with a high success rate and effective hemostasis.However,it should be noted that some patients remain at risk of recurrent bleeding after successful interventional hemostasis.

Objective To improve the quality of diagnosis and coding on obstetric medical record home pages in our cit-y,identify major issues,and provide a basis for targeted training interventions.Methods Utilizing a medical record quality con-trol system and logic validation rules,we conducted verification and problem identification analysis on diagnosis and coding infor-mation from all obstetric medical record home pages throughout 2024 across five tertiary hospitals in the city.Results 40.37％of the front page of obstetric medical record had problems.The major problems included missing diagnosis(65.75％),wrong coding(25.02％)and wrong choice of main diagnosis(6.99％).Conclusion The establishment of logical validation rules based on the information on front pages of obstetric medical record can identify the problems in the diagnosis together with the coding of front page of obstetric medical record,which is conducive to targeted training of obstetrician and medical record coders,as well as improving the completeness and accuracy of the diagnosis and coding of the front page of obstetric medical record.

Objective:To examine the validity and reliability of the Basic Psychological Needs Satisfaction and Frustration Scale(BPNSFS)in the adult population.Methods:A total of 488 adults were recruited and random-ly divided into 2 groups.One half(n=244)was utilized for item analysis and exploratory factor analysis,while the other half(n=244)was reserved for confirmatory factor analysis.One month later,a convenient sample of 100 in-dividuals was selected for retesting.The Depression-Anxiety-Stress Scale-21(DASS-21)and the Satisfaction with Life Scale(SWLS)were employed as criterion measures.Results:Both subscales of the BPNSFS demonstrated a 3-factor structure,explaining a total variance of 60.99％and 60.31％,respectively.The 3-factor model exhibited good fit indices(x2/df=1.85,2.47;RMSEA=0.06,0.08;CFI=0.95,0.94;TLI=0.94,0.92;SRMR=0.04,0.05).Scores on both subscales and their dimensions were significantly correlated with DASS-21 and SWLS scores(|r|=0.16-0.57,Ps＜0.001).The Cronbach α coefficients for the 2 subscales were 0.87 and 0.89,with Cronbach α values for each dimension ranging from 0.73 to 0.81.The test-retest reliabilities(ICC)for the 2 sub-scales were 0.84 and 0.80,with ICC values for each dimension ranging from 0.65 to 0.83.Conclusion:The validi-ty and reliability of the Chinese version of the Basic Psychological Needs Satisfaction and Frustration Scale demon-strate good measurement properties in assessing the adult population.

Objective To improve the quality of diagnosis and coding on obstetric medical record home pages in our cit-y,identify major issues,and provide a basis for targeted training interventions.Methods Utilizing a medical record quality con-trol system and logic validation rules,we conducted verification and problem identification analysis on diagnosis and coding infor-mation from all obstetric medical record home pages throughout 2024 across five tertiary hospitals in the city.Results 40.37％of the front page of obstetric medical record had problems.The major problems included missing diagnosis(65.75％),wrong coding(25.02％)and wrong choice of main diagnosis(6.99％).Conclusion The establishment of logical validation rules based on the information on front pages of obstetric medical record can identify the problems in the diagnosis together with the coding of front page of obstetric medical record,which is conducive to targeted training of obstetrician and medical record coders,as well as improving the completeness and accuracy of the diagnosis and coding of the front page of obstetric medical record.

Objective To observe the value of deep learning(DL)reconstruction algorithm for improving imaging quality of accelerated T2WI of cervical tumors.Methods A total of 43 patients with suspected cervical tumors were prospectively enrolled.Cervical conventional T2WI and accelerated T2WI based on DL reconstruction(DL-T2WI)were acquired.The imaging quality was subjectively assessed by 2 physicians using a 4-point system,including overall image quality,artifact,noise,sharpness and lesion detectability scores,and then were compared between conventional T2WI and DL-T2WI.Results The acquisition of conventional T2WI took 116 s,while of DL-T2WI took 101 s.The inter-observer consistency of subjective evaluation results on the overall image quality,artifact,noise,sharpness and lesion detectability scores were all excellent(Kappa=0.851-0.969).No significant difference of subjective evaluation results on overall image quality nor lesion detectability scores was found between conventional T 2WI and DL-T2WI(both P＞0.05),while the artifact and sharpness scores of DL-T2WI were significantly higher but the noise score was significantly lower than those of conventional T2WI(all P＜0.05).Conclusion DL reconstruction algorithm was helpful for improving imaging quality of accelerated T 2WI of cervical tumors.

Objective:To examine the validity and reliability of the Basic Psychological Needs Satisfaction and Frustration Scale(BPNSFS)in the adult population.Methods:A total of 488 adults were recruited and random-ly divided into 2 groups.One half(n=244)was utilized for item analysis and exploratory factor analysis,while the other half(n=244)was reserved for confirmatory factor analysis.One month later,a convenient sample of 100 in-dividuals was selected for retesting.The Depression-Anxiety-Stress Scale-21(DASS-21)and the Satisfaction with Life Scale(SWLS)were employed as criterion measures.Results:Both subscales of the BPNSFS demonstrated a 3-factor structure,explaining a total variance of 60.99％and 60.31％,respectively.The 3-factor model exhibited good fit indices(x2/df=1.85,2.47;RMSEA=0.06,0.08;CFI=0.95,0.94;TLI=0.94,0.92;SRMR=0.04,0.05).Scores on both subscales and their dimensions were significantly correlated with DASS-21 and SWLS scores(|r|=0.16-0.57,Ps＜0.001).The Cronbach α coefficients for the 2 subscales were 0.87 and 0.89,with Cronbach α values for each dimension ranging from 0.73 to 0.81.The test-retest reliabilities(ICC)for the 2 sub-scales were 0.84 and 0.80,with ICC values for each dimension ranging from 0.65 to 0.83.Conclusion:The validi-ty and reliability of the Chinese version of the Basic Psychological Needs Satisfaction and Frustration Scale demon-strate good measurement properties in assessing the adult population.