AIM:To evaluate visual outcomes and visual function in nonamblyopic adults with myopic anisometropia treated with small incision lenticule extraction(SMILE).METHODS:Prospective comparative cohort study. The consecutive patients who underwent SMILE for the treatment of myopia or myopic astigmatism at Zhongshan Ophthalmic Center(Guangzhou, China)between October 2015 and January 2016 were included. They were divided into two groups based on the bilateral difference of a spherical equivalent(SE)refraction ≥1.50 D: the anisometropic myopia group(interocular SE difference ≥1.50 D)and non-anisometropic myopia group(interocular SE difference<1.50 D). Refractive status, uncorrected and corrected distance visual acuity(UDVA and CDVA), and visual function parameters including fusional vergence amplitude, stereoacuity and horizontal phoria were measured preoperatively and at 1 wk,1,3 and 6 mo after surgery.RESULTS:A total of 49 cases(98 eyes)were included in the study, and 19 cases(38 eyes)in the anisometropic group, including 11 males and 8 females, with a mean age of 25.4±6.2 y, and 30 cases(60 eyes)in the non-anisometropic myopia group, including 19 males and 11 females, with a mean age of 26.8±4.6 y. The CDVA of the non-anisometropia group was significantly better than that of the anisometropia group 6 mo postoperatively(P=0.036). However, the safety and efficacy indexes of the two groups did not show significant differences. The fusional vergence(break point and recovery point)of the anisometropia group decreased(P=0.005 and P=0.03)and was significantly lower than that in the non-anisometropia group at 6 mo post operatively(P=0.029 and P=0.046). Both groups showed a significant improvement in distance and near stereopsis at 1, 3 and 6 mo in comparison with the preoperative baseline and 1 wk postoperatively(all P<0.05). No clinically significant change in the amount of ocular alignment in terms of distance and near deviation postoperatively in either groups.CONCLUSION: SMILE is a predictable, effective, and safe method for correcting myopic anisometropia in adults without amblyopia. Although the fusional vergence amplitudes changed, stereopsis can be improved after surgery.

OBJECTIVE To promote the application of drones in emergency rescue and related fields， expand “low-altitude+ medical” rescue services， and advance the standardization of “low-altitude+medical” distribution services. METHODS The Consensus on Low-altitude Transport and Delivery Services for Emergency Medicines via Drones （2025 Edition） （hereinafter referred to as the Consensus） was jointly initiated by the Division of Therapeutic Drug Monitoring， Chinese Pharmacological Society and the Expert Committee on Precision Medication of the Guangdong Pharmaceutical Association. Guangzhou Red Cross Hospital served as the leading unit， organizing 53 multidisciplinary experts nationwide to participate in drafting and reviewing. A nominal group technique was employed to discuss and finalize the consensus outline， resulting in a preliminary draft. Delphi method was employed， and 11 external review experts were invited to conduct the evaluation. After the experts’ opinions were analyzed and integrated， the Consensus was finalized. RESULTS & CONCLUSIONS The finalized Consensus includes its purpose， principles， and applicable scenarios， basic requirements， and operational procedures for low-altitude transport and delivery of emergency medications； distribution requirements and precautions for controlled substances， fragile medications， and temperature-sensitive medications； and recommendations for emergency medications supplies suitable for the low-altitude transportation and distribution. The release of this Consensus is expected to provide guidance and support for the standardization of “low-altitude+medical” distribution services and the application of low-altitude economy in the healthcare sector.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Breast cancer is one of the most common cancers in women， which seriously threatens women's health. Early diagnosis and precise treatment of breast cancer are helpful to improve the prognosis of patients. This article summarizes the research status of bacteria and their metabolites in the development and treatment of breast cancer， and discusses in detail the role and mechanism of bacteria and their metabolites in the development and intervention of breast cancer. These mechanisms include regulation of inflammation and immune response， DNA damage， and regulation of cell biological characteristics. Engineering bacteria have become one of the hotspots in the field of breast cancer treatment in recent years due to their natural advantages in targeting tumors and activating immunity. This article further summarizes the research progress of engineered bacteria in the treatment of breast cancer， aiming to provide an important reference for formulating targeted treatment strategies and improving the prognosis of patients. Although bacteria and their metabolites affect the development and treatment of breast cancer through a variety of mechanisms， and can enhance the therapeutic effect of cancer and reduce the adverse effects of treatment， the clinical application of bacteria in anti-breast cancer therapy still faces numerous challenges. The highly individualized composition of bacteria leads to the lack of universality of treatment， and the complex interaction between bacteria and host further increases the difficulty of research. In the future， it is urgent to further explore the mechanism of bacteria and their metabolites affecting the development and treatment of breast cancer， and promote the clinical application of bacteria in anti-breast cancer treatment.

ObjectiveTo investigate the efficacy of ovarian tissue cryopreservation and autologous transplantation in preserving fertility and ovarian endocrine function in patients with cervical cancer. MethodsA 26-year-old patient with stage ⅡA1 cervical cancer underwent ovarian tissue harvesting and cryopreservation during cancer surgery. Following complete remission of the cancer， autologous ovarian tissue transplantation was performed. Follow-up monitoring included assessment of menopausal symptoms， hormone levels， and follicular development. ResultsSix months after transplantation， follicle-stimulating hormone levels decreased to 6.60 U/L， and estradiol levels increased from ＜10.00 ng/L to 89.00 ng/L. At 10 months after transplantation， ultrasound monitoring confirmed follicular development and physiological ovulation in the transplanted ovarian tissue. By 15 months after transplantation， follicle-stimulating hormone levels remained stable at 7.24 U/L， and estradiol levels further increased to 368.00 ng/L. Over 2 years after transplantation， the patient successfully gave birth to a healthy baby through assisted reproductive technology. ConclusionThe restoration of endocrine and ovulation functions in the transplanted cryopreserved ovarian tissue， followed by successful pregnancy， demonstrates the clinical success of ovarian tissue transplantation.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*