Objective To explore the impact of deep learning image reconstruction(DLIR)algorithms on image quality of chest CT,detection rate of lung nodule and reproducibility of lung nodule radiomics feature data compared with adaptive statistical iterative reconstruction V(ASIR-V)algorithms.Methods Seventy-five patients with 211 lung nodules who underwent both ultra-low-dose CT(ULD-CT)and standard-dose CT(SDCT)were prospectively enrolled.ULD-CT images were reconstructed using different algorithms,namely high-level DLIR(DLIR-H),medium-level DLIR(DLIR-M)and 50％ASIR-V(50％ASIR-V),while SDCT images were reconstructed by 50％ASIR-V.Image noise was represented by the standard deviation(SD)of lung parenchyma CT values within identical ROI in both ULD-CT and SDCT images,and signal-to-noise ratio(SNR)were calculated.The detection rate of lung nodule were obtained and compared among different images.Radiomics features of lung nodules in chest 50％ASIR-V SDCT and each ULD-CT were extracted based on automatic segmentation methods,and intra-class correlation coefficients(ICC)of each ULD-CT and 50％ASIR-V SDCT were calculated respectively,and then compared among different ULD-CT algorithms.Results Compared with SDCT images reconstructed with 50％ASIR-V algorithm,all ULD-CT images reconstructed by different algorithms showed higher SD and lower SNR(all P＜0.05).ULD-CT images reconstructed by DLIR-H,DLIR-M and 50％ASIR-V exhibited progressively increasing SD and decreasing SNR(all adjusted P＜0.05).Taken 50％ASIR-V SDCT images as standards,ULD-CT by DLIR-H,DLIR-M and 50％ASIR-V each detected 207 lung nodules(207/211,98.10％),respectively.In chest ULD-CT images,the reproducibility with 50％ASIR-V SDCT for texture feature data of lung nodules on ULD-CT reconstructed by 50％ASIR-V algorithm was lower than that by DLIR-H and DLIR-M(both adjusted P＜0.05),while no significant difference was found between the latter two with 50％ASIR-V SDCT(adjusted P＞0.05).The first order and shape feature data of lung nodules on ULD-CT reconstructed by all 3 algorithms showed good reproducibility with 50％ASIR-V SDCT(median ICC＞0.75),and no significant difference was detected among them(all P＞0.05).Conclusion Compared with 50％ASIR-V ULD-CT,both DLIR-H and DLIR-M ULD-CT could significantly reduce image noise and improve image quality,as well as maintain reproducibility of radiomics features in lung nodules in a certain degree,especially DLIR-H.

Objective:To compare the efficacy of hepatic artery infusion chemotherapy (HAIC) combined with targeted therapy and immunnotherapy and transarterial chemoembolization (TACE) combined with targeted therapy and immunnotherapy in the treatment of unresectable hepatocellular carcinoma HCC.Methods:We retrospectively analyzed the clinical data of 40 patients with unresectable HCC treated with HAIC combined with targeted therapy and immunnotherapy and TACE combined with targeted therapy and immunnotherapy in Tongde Hospital of Zhejiang Province and Zhejiang Provincial People's Hospital.The patients were divided into HAIC group ( n=14) and TACE group ( n=26) according to the different treatment methods. Baseline data, surgical conversion and intraoperative situation, tumor response, portal vein cancer thrombus control rate, leukocyte reduction rate, platelet reduction rate, incidence of liver function abnormalities, objective remission rate, and disease control rate were compared between the two groups. Results:The HAIC group had a later baseline tumor staging than the TACE group (higher percentage of portal vein cancer thrombus, CNLC stage Ⅲa).The surgical conversion rate of the HAIC and TACE groups were 28.6%(4/14) and 26.9%(7/26), respectively, with the difference of no statistical significance ( P>0.05);The operation time and intraoperative bleeding were (329.5±19.9) min vs.(413.4±26.4) min, (272.2±49.9) ml vs.(536.0±123.6) ml, and the differences were statistically significant ( P<0. 05); The maximum tumor diameter reduction rate [(30.7%±15.1%) vs.(7.2%±12.6%)] and portal vein cancer thrombus control rate [100% (12/12) vs. 64.3% (9/14)], the differences were statistically significant ( P<0.05);The incidences of leukocyte and platelet decrease in the two groups during the course of treatment were 71.4%(10/14) vs. 34.6%(9/26)、78.5%(11/14) vs. 38.5%(10/26), and the incidences of liver function abnormalities were 35.7%(5/14) vs. 69.2%(18/26), the differences were statistically significant ( P<0.05);The objective response rate and disease control rate were 57.1%(8/14) vs. 30.8% (8/26)、71.4% (10/14) vs. 53.8%(14/26), all statistically significant. Conclusion:HAIC combined with targeted therapy and immunnotherapy is a safe and effective treatment for middle and advanced HCC, especially suitable for patients with portal vein tumor thrombus(PVTT), large tumor, or poor liver function.

In thoracoscopic pulmonary nodule resection surgery, precise preoperative planning is crucial. Artificial intelligence (AI)-assisted three-dimensional (3D) reconstruction technologies have shown great potential in this area. AI-assisted 3D reconstruction technologies can provide accurate, personalized models of the pulmonary vasculature and bronchial anatomy, assisting surgeons in detailed surgical planning and thus enhancing the precision and safety of surgeries. This article reviews the application progress of AI-assisted 3D reconstruction technologies in pulmonary nodule surgery, including their applications in preoperative diagnosis, surgical planning, and intraoperative navigation, as well as the advancements in AI-assisted 3D reconstruction technologies. It analyzes the technical features of all kinds of 3D reconstruction methods, their clinical applications, and the challenges they face.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.

Objective:To evaluate the efficacy of defocus incorporated multiple segments (DIMS) on spherical equivalent (SE) and axial length (AL) in myopic children.Methods:Clinical studies on the progress of DIMS lens intervention in myopia reported in CNKI, Wanfang Data, VIP, China Biomedical Literature Database, PubMed, Embase, Cochrane Library, and Web of Science from the establishment of the database to June 2023 were searched.The experimental group and control group used DIMS lens and single vision lens (SVL) for intervention, respectively.Two researchers independently conducted the literature search, screening and data extraction based on the inclusion and exclusion criteria.Literature quality and risk of bias were evaluated in accordance with the requirements of the Cochrane Manual.Meta-analysis was performed using Revman 5.4 software.Results:A total of 7 clinical studies using DIMS lenses to intervene in the development of myopia were included .Seven studies provided complete SE data for analysis, with sample sizes of 1 164 eyes and 1 140 eyes for the DIMS group and SVL group, respectively.Five studies provided complete AL data for analysis, with sample sizes of 339 eyes and 315 eyes for the DIMS group and SVL group, respectively.There were statistically significant differences in SE and AL between DIMS group and SVL group (SE: WMD=0.40, 95% CI: 0.32-0.47, P<0.001; AL: WMD=-0.14, 95% CI: -0.17--0.11, P<0.001).DIMS lens could effectively delay SE progression and AL growth in myopic patients. Conclusions:DIMS lenses could delay the increase of SE and AL to a certain extent.

Objective:To evaluate the efficacy of defocus incorporated multiple segments (DIMS) on spherical equivalent (SE) and axial length (AL) in myopic children.Methods:Clinical studies on the progress of DIMS lens intervention in myopia reported in CNKI, Wanfang Data, VIP, China Biomedical Literature Database, PubMed, Embase, Cochrane Library, and Web of Science from the establishment of the database to June 2023 were searched.The experimental group and control group used DIMS lens and single vision lens (SVL) for intervention, respectively.Two researchers independently conducted the literature search, screening and data extraction based on the inclusion and exclusion criteria.Literature quality and risk of bias were evaluated in accordance with the requirements of the Cochrane Manual.Meta-analysis was performed using Revman 5.4 software.Results:A total of 7 clinical studies using DIMS lenses to intervene in the development of myopia were included .Seven studies provided complete SE data for analysis, with sample sizes of 1 164 eyes and 1 140 eyes for the DIMS group and SVL group, respectively.Five studies provided complete AL data for analysis, with sample sizes of 339 eyes and 315 eyes for the DIMS group and SVL group, respectively.There were statistically significant differences in SE and AL between DIMS group and SVL group (SE: WMD=0.40, 95% CI: 0.32-0.47, P<0.001; AL: WMD=-0.14, 95% CI: -0.17--0.11, P<0.001).DIMS lens could effectively delay SE progression and AL growth in myopic patients. Conclusions:DIMS lenses could delay the increase of SE and AL to a certain extent.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Objective To explore the impact of deep learning image reconstruction(DLIR)algorithms on image quality of chest CT,detection rate of lung nodule and reproducibility of lung nodule radiomics feature data compared with adaptive statistical iterative reconstruction V(ASIR-V)algorithms.Methods Seventy-five patients with 211 lung nodules who underwent both ultra-low-dose CT(ULD-CT)and standard-dose CT(SDCT)were prospectively enrolled.ULD-CT images were reconstructed using different algorithms,namely high-level DLIR(DLIR-H),medium-level DLIR(DLIR-M)and 50％ASIR-V(50％ASIR-V),while SDCT images were reconstructed by 50％ASIR-V.Image noise was represented by the standard deviation(SD)of lung parenchyma CT values within identical ROI in both ULD-CT and SDCT images,and signal-to-noise ratio(SNR)were calculated.The detection rate of lung nodule were obtained and compared among different images.Radiomics features of lung nodules in chest 50％ASIR-V SDCT and each ULD-CT were extracted based on automatic segmentation methods,and intra-class correlation coefficients(ICC)of each ULD-CT and 50％ASIR-V SDCT were calculated respectively,and then compared among different ULD-CT algorithms.Results Compared with SDCT images reconstructed with 50％ASIR-V algorithm,all ULD-CT images reconstructed by different algorithms showed higher SD and lower SNR(all P＜0.05).ULD-CT images reconstructed by DLIR-H,DLIR-M and 50％ASIR-V exhibited progressively increasing SD and decreasing SNR(all adjusted P＜0.05).Taken 50％ASIR-V SDCT images as standards,ULD-CT by DLIR-H,DLIR-M and 50％ASIR-V each detected 207 lung nodules(207/211,98.10％),respectively.In chest ULD-CT images,the reproducibility with 50％ASIR-V SDCT for texture feature data of lung nodules on ULD-CT reconstructed by 50％ASIR-V algorithm was lower than that by DLIR-H and DLIR-M(both adjusted P＜0.05),while no significant difference was found between the latter two with 50％ASIR-V SDCT(adjusted P＞0.05).The first order and shape feature data of lung nodules on ULD-CT reconstructed by all 3 algorithms showed good reproducibility with 50％ASIR-V SDCT(median ICC＞0.75),and no significant difference was detected among them(all P＞0.05).Conclusion Compared with 50％ASIR-V ULD-CT,both DLIR-H and DLIR-M ULD-CT could significantly reduce image noise and improve image quality,as well as maintain reproducibility of radiomics features in lung nodules in a certain degree,especially DLIR-H.

Objective:To compare the efficacy of hepatic artery infusion chemotherapy (HAIC) combined with targeted therapy and immunnotherapy and transarterial chemoembolization (TACE) combined with targeted therapy and immunnotherapy in the treatment of unresectable hepatocellular carcinoma HCC.Methods:We retrospectively analyzed the clinical data of 40 patients with unresectable HCC treated with HAIC combined with targeted therapy and immunnotherapy and TACE combined with targeted therapy and immunnotherapy in Tongde Hospital of Zhejiang Province and Zhejiang Provincial People's Hospital.The patients were divided into HAIC group ( n=14) and TACE group ( n=26) according to the different treatment methods. Baseline data, surgical conversion and intraoperative situation, tumor response, portal vein cancer thrombus control rate, leukocyte reduction rate, platelet reduction rate, incidence of liver function abnormalities, objective remission rate, and disease control rate were compared between the two groups. Results:The HAIC group had a later baseline tumor staging than the TACE group (higher percentage of portal vein cancer thrombus, CNLC stage Ⅲa).The surgical conversion rate of the HAIC and TACE groups were 28.6%(4/14) and 26.9%(7/26), respectively, with the difference of no statistical significance ( P>0.05);The operation time and intraoperative bleeding were (329.5±19.9) min vs.(413.4±26.4) min, (272.2±49.9) ml vs.(536.0±123.6) ml, and the differences were statistically significant ( P<0. 05); The maximum tumor diameter reduction rate [(30.7%±15.1%) vs.(7.2%±12.6%)] and portal vein cancer thrombus control rate [100% (12/12) vs. 64.3% (9/14)], the differences were statistically significant ( P<0.05);The incidences of leukocyte and platelet decrease in the two groups during the course of treatment were 71.4%(10/14) vs. 34.6%(9/26)、78.5%(11/14) vs. 38.5%(10/26), and the incidences of liver function abnormalities were 35.7%(5/14) vs. 69.2%(18/26), the differences were statistically significant ( P<0.05);The objective response rate and disease control rate were 57.1%(8/14) vs. 30.8% (8/26)、71.4% (10/14) vs. 53.8%(14/26), all statistically significant. Conclusion:HAIC combined with targeted therapy and immunnotherapy is a safe and effective treatment for middle and advanced HCC, especially suitable for patients with portal vein tumor thrombus(PVTT), large tumor, or poor liver function.