Objective:To evaluate the accuracy and output stability of online general natural language processing(NLP)models for staging diagnosis and identifying medium-and high-risk factors in cervical cancer patients based on pathology reports.Methods:Surgical pathological reports of 65 patients with cervical cancer who received postoperative adjuvant radiotherapy at Shanghai General Hospital from January 2022 to December 2023 were retrospectively selected.These reports were input into two online NLP models,Kimi and ChatGPT-4o,and their output staging diagnosis results were recorded.Then,the results were classified into 3 categories and scored as follows:correct(2 points),basically correct(1 point)and incorrect(0 point).Each pathologic report was tested 5 times to assess the stability of the outputs form Kimi and ChatGPT-4o,and the consistency between the NLP models and clinical physicians in cervical cancer staging was compared.Prompt-based questioning was used to evaluate Kimi's ability to extract medium-and high-risk factors from the pathology reports of cervical cancer patients.Results:There was no statistical significant difference in the staging diagnosis results between the two NLP models and the clinical physicians(x2=5.740,P=0.057).Kimi and ChatGPT-4o respectively produced 56 and 47 correct results,6 and 15 basically correct results,and 3 and 3 incorrect results.Their mean scores were 7.08±2.70 and 7.97±2.97,and the difference between them was statistically significant(P=0.040).In the extraction of risk factors from 65 cervical cancer patients,involving a total of 390 factors,Kimi made only three false-positive errors,with all other factors correctly identified.Conclusion:Online general NLP models can stably output the stage of cervical cancer patients with diagnostic accuracy comparable to clinical physicians.With the assistance of prompt-based questioning,these NLP models can accurately extract medium-and high-risk factors from pathology reports of cervical cancer patients,demonstrating promising clinical application potential.

As a new type of model organism， zebrafish is gradually gaining prominence in the field of scientific research. The unique biological characteristics and advantages of zebrafish make them play an increasingly important role in the quality evaluation of traditional Chinese medicine. Compared with other common experimental animals， zebrafish have a fast reproductive and growth speed and high embryo transparency， making them an ideal model for evaluating the quality of traditional Chinese medicine. This provides a new perspective and method for research on traditional Chinese medicine. With the growing global interest in traditional Chinese medicine， it has become crucial to find scientific and accurate methods to evaluate the quality and effectiveness of traditional Chinese medicine. The introduction of the zebrafish model has brought new breakthroughs in the quality evaluation of traditional Chinese medicine. To further promote the application of zebrafish in evaluating the quality of traditional Chinese medicine， this article systematically searched and sorted out the previous studies related to the application of zebrafish for this purpose since 2023. The commonly used disease models and indicators of zebrafish in evaluating the effectiveness of traditional Chinese medicine， as well as the mechanism of zebrafish in exploring the active ingredients of traditional Chinese medicine， were primarily reviewed. The application of zebrafish in evaluating the safety of traditional Chinese medicine and the typical examples in ensuring the quality of traditional Chinese medicine were demonstrated. The limitations encountered by zebrafish models in evaluating the quality of traditional Chinese medicine were highlighted. The resolution of these problems will help further improve the accuracy and reliability of zebrafish in evaluating the quality of traditional Chinese medicine. The article discussed the evaluation of effectiveness， safety， and quality control of zebrafish applied in traditional Chinese medicine， so as to provide a reference for establishing standards for traditional Chinese medicine and promoting its modernization in the future.

Objective:To evaluate the accuracy and output stability of online general natural language processing(NLP)models for staging diagnosis and identifying medium-and high-risk factors in cervical cancer patients based on pathology reports.Methods:Surgical pathological reports of 65 patients with cervical cancer who received postoperative adjuvant radiotherapy at Shanghai General Hospital from January 2022 to December 2023 were retrospectively selected.These reports were input into two online NLP models,Kimi and ChatGPT-4o,and their output staging diagnosis results were recorded.Then,the results were classified into 3 categories and scored as follows:correct(2 points),basically correct(1 point)and incorrect(0 point).Each pathologic report was tested 5 times to assess the stability of the outputs form Kimi and ChatGPT-4o,and the consistency between the NLP models and clinical physicians in cervical cancer staging was compared.Prompt-based questioning was used to evaluate Kimi's ability to extract medium-and high-risk factors from the pathology reports of cervical cancer patients.Results:There was no statistical significant difference in the staging diagnosis results between the two NLP models and the clinical physicians(x2=5.740,P=0.057).Kimi and ChatGPT-4o respectively produced 56 and 47 correct results,6 and 15 basically correct results,and 3 and 3 incorrect results.Their mean scores were 7.08±2.70 and 7.97±2.97,and the difference between them was statistically significant(P=0.040).In the extraction of risk factors from 65 cervical cancer patients,involving a total of 390 factors,Kimi made only three false-positive errors,with all other factors correctly identified.Conclusion:Online general NLP models can stably output the stage of cervical cancer patients with diagnostic accuracy comparable to clinical physicians.With the assistance of prompt-based questioning,these NLP models can accurately extract medium-and high-risk factors from pathology reports of cervical cancer patients,demonstrating promising clinical application potential.

Objective To explore the clinical characteristics and factors affecting the prognosis of metastatic ovarian tumors of gastric and colorectal cancer.Methods Clinical data of 92 hospitalized patients with metastatic ovarian tumors of gastric and colorectal cancer in The First Affiliated Hospital of Naval Medical University from January 2010 to August 2020 were selected and analyzed retrospectively.The clinical characteristics,related laboratory data,survival and prognostic factors were statistically analyzed.Results There were less than half of carcinoembryonic antigen(CEA)-positive cases and less than half of carbolydrate antigen 125(CA125)-positive cases in the 92 cases.Medium-sized solid or cystic solid masses(5-10 cm)mainly presented on imaging.The median survival time of the patients was 16 months,and 1-,2-and 3-year overall survivals were 55.9%,36.8%and 17.6%,respectively.Univariate analysis showed that negative CA125,CA125/CEA<5,colorectal origin,adenocarcinoma of primary tumor,the resection of primary tumor,no external ovarian metastases,no residual of metastatic lesions after surgery,no vascular invasion of ovarian metastases,unilateral ovarian mass,ovarian mass less than 5 cm,ovarian metastases containing cystic components,and adenocarcinoma of ovarian metastases were related to a good prognosis.The expression of caudal type homeobox 2(CDX2)affected the survival time(P=0.001).COX regression multivariate analysis identified that the primary tumor site(P=0.023),ovarian mass<5 cm(P=0.031),and the expression of P53 in ovarian metastasis(P=0.007)were independent prognostic factors for metastatic ovarian tumors of gastric and colorectal cancer.Conclusion There is a wide range of onset age of patients with metastatic ovarian tumors of gastric and colorectal cancer.The clinical manifestations were nontypical,and medium-sized masses containing solid components mainly present on imaging.The prognosis is poor,but the patients with colorectal origin have better prognosis than patients with gastric origin.The prognosis of patients with ovarian mass<5 cm is good.The expression of P53 may be a protective factor for those patients.

Polyphyllin Ⅰ(PPⅠ)and polyphyllin Ⅱ(PⅡ)are the main active substances in the Paris polyphylla.However,liver toxicity of these compounds has impeded their clinical application and the potential hepatotoxicity mechanisms remain to be elucidated.In this work,we found that PPⅠ and PⅡ exposure could induce significant hepatotoxicity in human liver cell line L-02 and zebrafish in a dose-dependent manner.The results of the proteomic analysis in L-02 cells and transcriptome in zebrafish indicated that the hepa-totoxicity of PPⅡ and PⅡwas associated with the cholesterol biosynthetic pathway disorders,which were alleviated by the cholesterol biosynthesis inhibitor lovastatin.Additionally,3-hydroxy-3-methy-lglutaryl CoA reductase(HMGCR)and squalene epoxidase(SQLE),the two rate-limiting enzymes in the choles-terol synthesis,selected as the potential targets,were confirmed by the molecular docking,the over-expression,and knockdown of HMGCR or SQLE with siRNA.Finally,the pull-down and surface plasmon resonance technology revealed that PPⅠ could directly bind with SQLE but not with HMGCR.Collectively,these data demonstrated that PPⅠ-induced hepatotoxicity resulted from the direct binding with SQLE protein and impaired the sterol-regulatory element binding protein 2/HMGCR/SQLE/lanosterol synthase pathways,thus disturbing the cholesterol biosynthesis pathway.The findings of this research can contribute to a better understanding of the key role of SQLE as a potential target in drug-induced hepatotoxicity and provide a therapeutic strategy for the prevention of drug toxic effects with similar structures in the future.

Oblique lumbar interbody fusion （OLIF） is an internationally popular and innovative technique for treating various lumbar diseases. Introduced to China in 2014， it has been widely used to treat lumbar spine diseases. Advances in biomechanical theory and new instruments have broadened the indications for OLIF surgery and reduced its learning curve. The development of standalone OLIF makes OLIF more minimally invasive. The improvement of localized surgical methods based on Chinese anatomical studies makes OLIF more suitable for Chinese patients. The development of L5/S1 OLIF technology has expanded the application range of OLIF. This paper reviews the clinical application and research progress of OLIF.

Objective To clarify the relationship between the basivertebral foramen (BF) and the retropulsed bone fragment (RBF) in thoracolumbar burst fracture (TLBF) and further explain the mechanism of RBF formation.Methods From June 2013 to June 2016,Sixty-two patients suffering from TLBF with RBF were collected.The characteristics of RBF as well as the parameters of vertebral body were studied using CT reconstruction imaging.In the transverse images,the lengths of RBF (RL) and vertebral body (VL) were measured.In median sagittal images,the heights and widths of RBF (RH,RW) and vertebral body (VH,VW) were also obtained.The ratios of different parameters of RBF and vertebral body (RL/VL,RW/VW,RH/VH) were calculated,and then defined the location relationship of RBF and BF.Eight frozen cadaveric spine were selected and evaluated by Micro-CT scans.Each vertebral body was divided into three layers (Superior,Middle,Inferior).Each layer was further divided into 9 regions (R1-R9),named as SR1-SR9,MR1-MR9,IR1-IR9.Microarchitecture parameters of each region in each layer,including bone volume fraction (BV/TV),bone mineral density (BMD),trabecular connectivity (Corn.D),and trabecular number (Tb.N) and thickness (Tb.Th) were calculated,and their differences were also analyzed to see if the trabecular bone distribution would be affected by BF.In vitro study,burst fractures were simulated on cadaveric spines by using bursting fracture simulator,aiming to observe the RBF morphology and imaging findings to future investigate the relationship between RBF and BF.Results The length and height of RBF were close to half of vertebral body length and height (RL/VL:0.497±0.059,RH/VH:0.485±0.036).The width of RBF was usually one-third of vertebral body width (RW/VW:0.319±0.025),which indicated that the fracture block was often located in the posterior of vertebral body above the BF.BV/TV,Tb.N in the MR2 and MR5 regions were lowest than other regions and the SMI of MR2 and MR5 was largest than others.SR5 was the lowest region in superior lawyer that was corresponded to regions most affected by burst fracture.In simulated burst fractures,the fracture line of RBF went across the vertex or upper surface of the BF and the lower boundaries of RBF were also the upper bound of the BF.Moreover,the damage sites of posterior longitudinal ligament were mainly located at the edge of the BF.Conclusion At the bone defect region,the BF is the weakest area in the vertebral body which may affect the distribution of trabecular bone surrounding it.When subjected to vertical violence,these regions undergo fracture first which impact the anterior and lower boundaries of RBF.Ultimately,RBF was produced upon the BF,involving all or part of the upper bound of the BF.

With the aging of population, the incidence of osteoporosis and intervertebral disc degeneration increased remarkably.As a consisting part of spine, vertebrae play important roles in spinal diseases.The microstructure of vertebrae is closely associated with not only its biomechanical properties, but also its adjacent intervertebral discs.A detailed understanding of vertebrae's microstructure can help us understand the initial mechanism, progression and prognosis of vertebrae and its adjacent discs' diseases.On the other hand, traditional examinations are less effective in detecting vertebrae's microstructure.Being a noninvasive, high-resolution and bony-sensitive neo-technology, Micro-CT has obvious advantages in detecting vertebrae's microstructure.Many researches have reported the usage of Micro-CT in reveling microstructures while they also raised problems.Thus, herein we searched the related information of vertebrae's microstructure scanning with Micro-CT, explained its basic mechanism, reviewed its progress in technology and arithmetic, and concluded the latest developments.Depending on the microstructure revealed by Micro-CT, achievements in biomechanical properties of vertebrae and intervertebral disc degeneration have been made,and related problems have been summarized.Also, new applications of Micro-CT in spinal diseases are discussed for acquiring reasonable clinical data in the future.

AIM: To investigate changes of Ca 2+ activated potassium channels (K Ca) in autogenous vein grafts. METHODS: The contraction of venous ring was measured by means of perfusion in vitro. The intimal proliferation and proliferation of cultured smooth muscle cells (vascular smooth muscle cells, VSMCs) were observed by the means of computerised image analysis and MTT method, respectively. Furthermore, whole cell mode of patch clamp was used to record K Ca of VSMCs isolated from autogenous vein grafts. RESULTS: 1 week after transplantation there were no significant differences of contraction and intimal relative thickness between autogenous vein grafts and control. Contraction and intimal relative thickness of autogenous vein graft were significantly increased 2 weeks after transplantation (P