Near-infrared cholangiography with intragallbladder indocyanine green injection in minimally invasive cholecystectomy

Laparoscopic cholecystectomy(LC)remains one of the most commonly performed procedures in adult and paediatric populations.Despite the advances made in intraoperative biliary anatomy recognition,iatrogenic bile duct injuries during LC represent a fatal complication and consist an economic burden for healthcare systems.A series of methods have been proposed to prevent bile duct injury,among them the use of indocyanine green(ICG)fluorescence.The most commonly reported method of ICG injection is the intravenous administration,while literature is lacking studies investigating the direct intragallbladder ICG injection.This narrative mini-review aims to assess the potential applications,usefulness,and limitations of intragallbladder ICG fluorescence in LC.Authors screened the available international literature to identify the reports of intragallbladder ICG fluorescence imaging in minimally invasive cholecystectomy,as well as special issues regarding its use.Literature search retrieved four prospective cohort studies,three case-control studies,and one case report.In the three case-control studies selected,intragallbladder near-infrared cholangiography(NIRC)was compared with standard LC under white light,with intravenous administration of ICG for NIRC and with standard intraoperative cholangiography(IOC).In total,133 patients reported in the literature have been administered intragallbladder ICG administration for biliary mapping during LC.Literature includes several reports of intragallbladder ICG administration,but a standardized technique has not been established yet.Published data suggest that NIRC with intragallbladder ICG injection is a promising method to achieve biliary mapping,overwhelming limitations of IOC including intervention and radiation exposure,as well as the high hepatic parenchyma signal and time interval needed in intravenous ICG fluorescence.Evidence-based guidelines on the role of intragallbladder ICG fluorescence in LC require the assessment of further studies and multicenter data collection into large registries.

盆底超声检查和Green分型诊断产妇产后早期盆底结构及压力性尿失禁

目的:探究盆底超声检查和Green分型在产妇产后早期盆底结构及压力性尿失禁(SUI)诊断中的价值。方法:选取2021年3月-2023年3月本院就诊经产妇204例,根据产后早期(6~8周)SUI发生情况分为SUI组(82例)和非SUI组(122例)。检查产妇静息和Valsalva动作状态下膀胱颈距耻骨联合下缘的距离(BSD)、膀胱尿道后角(PUA)、膀胱颈移动度(BND)和尿道旋转角(UR),对比Green分型;采用受试者工作特征(ROC)曲线分析相关参数诊断SUI价值。结果:静息状态下,两组盆底超声参数无差异(P>0.05);SUI组Valsalva动作状态下的BSD、PUA、BND和UR值均大于非SUI组,Green分型Ι型占比(25.6%)低于非SUI组(59.8%)(均P<0.05)。ROC曲线分析,Green分型曲线下面积(AUC)0.579,对SUI诊断价值不佳(P=0.057),Valsalva动作状态下BSD(AUC=0.758)、PUA(AUC=0.743)、BND(AUC=0.769)和UR(AUC=0.705)对SUI诊断价值良好(均P<0.05)。结论:盆底超声检查和Green分型能有效评估经产妇早期盆底结构状况,前者可诊断SUI。

水禽细小病毒SYBR Green Ⅰ荧光定量PCR检测方法的建立与应用

为了建立水禽细小病毒(WPV)快速检测方法,根据序列比对结果在水禽细小病毒NS基因SF3保守区域内设计特异性引物,建立SYBR Green Ⅰ荧光定量PCR通用检测方法。该方法的扩增效率(E)为90.0%,相关系数(R~2)=0.99,标准曲线方程为y=-3.607x+38.77;除WPV出现S形扩增曲线外,新城疫病毒(NDV)、H9亚型禽流感病毒(H9 AIV)、鸭坦布苏病毒(DTMUV)、鸭肝炎病毒(DHAV)、鸭肠炎病毒(DEV)、鸭呼肠孤病毒(DRV)样品均未出现S形阳性扩增曲线;批内变异系数(CV)为0.15%~0.23%,批间变异系数为0.09%~0.28%。结果表明,SYBR Green Ⅰ荧光定量PCR检测方法重复性好、灵敏度高和特异性强。临床样品检测结果表明,SYBR Green Ⅰ荧光定量PCR与普通PCR的符合率达98.4%,灵敏度是普通PCR的1 000倍。SYBR Green Ⅰ荧光定量PCR检测方法不仅能定性检测WPV,还可以进行定量检测,可用于种鸭场、种鹅场的WPV净化检测,也可用于WPV临床大量样品的快速检测。

Does Green Food Certification promote agri-food export quality?Evidence from China

The construction of a food certification system plays a vital role in upgrading export quality, which previous studies have largely overlooked. We match China's industry-level data of Green Food Certification with its HS6-digit export data of agri-food products to quantify the impact of Green Food Certification on export quality. We identify the significant and positive effect of Green Food Certification on export quality. The 2SLS estimation based on instrumental variables and a range of robustness checks confirm the validity and robustness of the benchmark conclusions. Further analysis discloses that Green Food Certification improves export quality by raising agricultural production efficiency and brand premiums. Heterogeneity analysis shows that the effect of Green Food Certification varies across regions, notably improving the quality of agri-food products exported to developed regions and regions with high levels of import supervision. Furthermore, among various product types, Green Food Certification significantly improves the export quality of primary products and products vulnerable to non-tariff measures. The above findings could guide the future development of agri-food quality certification systems, potentially leading to a transformation and promotion of the agri-food trade.

Butterfly taxonomic and functional diversity in the urban green spaces of Hefei city

Urbanization has profound impacts on ecological environments. Green spaces are a vital component of urban ecosystems and play a crucial role in maintaining ecological balance and enhancing sustainability. This study aimed to investigate the community composition characteristics of butterflies in urban green spaces within the context of rapid urbanization. Simultaneously, it explored the status and differences in butterfly taxonomic diversity, functional diversity, and functional traits among different types of urban green spaces, regions, and urban gradients to provide relevant insights for further improving urban green space quality and promoting biodiversity conservation. We conducted a year-long survey of 80 green spaces across different urban regions and ring roads within Hefei City, Anhui Province, with monthly sampling intervals over 187 transects. A total of 4822 butterflies, belonging to 5 families, 17 subfamilies, 40 genera, and 55 species were identified. The species richness, Shannon, Simpson, functional richness, and Rao's quadratic entropy indices of butterflies in urban park green spaces were all significantly higher than those in residential and street green spaces(P < 0.05). Differences in butterfly diversity and functional traits among different urban regions and ring roads were relatively minor, and small-sized, multivoltine, and long flying duration butterflies dominated urban green spaces. Overall, these spaces offer more favorable habitats for butterflies. However, some residential green spaces and street green spaces demonstrate potential for butterfly conservation.

Green transformation paths of resource-based cities in China from the configuration perspective

Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.

Establishment of Regional Green Innovation Value Chains:A Case Study on Tackling the Impeded Diffusion of Green Products

The green innovation value chain is a key step in transforming green,innovative scientific,and technological achievements into productive forces.The establishment of green innovation value chains based on value distribution rather than technical conditions can effectively overcome the common bottleneck faced by different nations during their green innovation endeavors,namely,the substitution of conventional products with green alternatives.This study investigates the impeded diffusion of green products and their underlying causes,analyzes the internal structure and mechanism of the green innovation value chain,and explores the establishment of regional green innovation value chains and the models available for value chain upgrading.

Cost Control Strategies for Hubei General Highway Greening Project

In order to respond to the national policy of focusing on the service of building a new development pattern and promoting high-quality development,and to reduce the cost of greening projects while ensuring the effect of highway landscape,a process and cost control points of highway greening design,construction,and maintenance are summarized through a review of the literature.Additionally,this paper examines the attributes of highway greening and proposes cost control strategies that are aligned with these attributes.It is proposed that the implementation of cost control strategies for highway greening should commence at the project establishment phase,with the objective of establishing a comprehensive and effective cost management control system.While guaranteeing the greening landscape effect and the duration of the project,it is essential to regulate the crucial nodes in each phase of the design,construction,and maintenance process.Furthermore,it is vital to facilitate close collaboration between all parties involved,thereby reducing costs,conserving resources,and lowering energy consumption.This approach can also lead to enhanced economic and social benefits for highway greening projects.

A Hybrid Deep Learning Approach for Green Energy Forecasting in Asian Countries

Electricity is essential for keeping power networks balanced between supply and demand,especially since it costs a lot to store.The article talks about different deep learning methods that are used to guess how much green energy different Asian countries will produce.The main goal is to make reliable and accurate predictions that can help with the planning of new power plants to meet rising demand.There is a new deep learning model called the Green-electrical Production Ensemble(GP-Ensemble).It combines three types of neural networks:convolutional neural networks(CNNs),gated recurrent units(GRUs),and feedforward neural networks(FNNs).The model promises to improve prediction accuracy.The 1965–2023 dataset covers green energy generation statistics from ten Asian countries.Due to the rising energy supply-demand mismatch,the primary goal is to develop the best model for predicting future power production.The GP-Ensemble deep learning model outperforms individual models(GRU,FNN,and CNN)and alternative approaches such as fully convolutional networks(FCN)and other ensemble models in mean squared error(MSE),mean absolute error(MAE)and root mean squared error(RMSE)metrics.This study enhances our ability to predict green electricity production over time,with MSE of 0.0631,MAE of 0.1754,and RMSE of 0.2383.It may influence laws and enhance energy management.

美洲鳗鲡腺瘤病毒(AEAdoV)普通PCR和SYBR Green I实时荧光定量PCR检测方法的建立及应用

为建立美洲鳗鲡腺瘤病毒(AEAdoV)的检测方法,根据AEAdoV福建株(AEAdoVFJ)的superfamily 3 helicases(S3H)序列,设计引物,建立了AEAdoV的普通PCR和qPCR检测方法;进一步评价检测方法的灵敏性、特异性及重复性,利用2种方法对美洲鳗鲡“出血性烂鳃”病料进行了检测,并对美洲鳗鲡体内不同组织的病毒含量进行分析。结果显示,普通PCR扩增的目的片段长度约300 bp,利用其构建的qPCR质粒标准品,其拷贝数与qPCR阈值循环数(C_(t))线性关系良好,线性范围广,标准曲线相关系数(R2)达到0.999,扩增效率为105.067%。建立的普通PCR法和qPCR的最低检测AEAdoV拷贝数分别为100个和10个。2种方法均可特异性检测AEAdoV,而对蛙虹彩病毒(RGV)、鳗鲡疱疹病毒(AngHV)、鲤疱疹病毒(KHV)、对虾白斑综合征病毒(WSSV)、日本鳗鲡内皮细胞坏死病毒(JEAdoV)和花鳗鲡腺瘤病毒(MEAdoV)均无扩增反应。qPCR法的组内和组间变异系数均小于2%,表明其重复性良好。临床应用结果显示,35份美洲鳗鲡“出血性烂鳃”病料,采用普通PCR法的AEAdoV检出率为82.8%,而qPCR法的AEAdoV检出率为97%。对美洲鳗鲡不同组织的病毒含量分析结果显示,心脏、肝脏、鳃、鳍的AEAdoV相对含量较高,而黏液、皮肤和脾脏的病毒含量相对较低。研究表明,建立的AEAdoV的灵敏度高、特异性强的普通PCR和qPCR检测方法,证实AEAdoV与美洲鳗鲡“出血性烂鳃”病密切相关,且在感染鳗鲡主要组织中都存在。实验结果对于研究AEAdoV的致病性,开展其流行情况和病原学情况分析具有重要意义。

约束Green函数与非线性地基梁模态分析

在生物和医学领域,微机电系统(MEMS)中的微梁结构在植入人体的使用时,由于体内的细胞环境类似于水凝胶,在这种环境下工作,设备和仪器的精度和稳定性很大程度上受到细胞弹性的影响.为了分析此类地基梁的动力学问题,本文建立了非线性基础上的梁振动模型,研究了任意位置弹簧和非线性弹簧基础上的梁模态.通过Laplace变换和线性叠加原理,得到了一种约束Green函数,利用数值计算验证方案的有效性,并研究了各种重要物理参数的影响,发现弹簧位置向跨中移动时,模态对称性被打破,弹簧刚度增加,模态阶数改变.

A Mechanism for Digital Finance to Drive Green and Low-Carbon Development

Given the global focus on green and low-carbon development and the increasing prominence of digital finance,it is particularly important to explore how to leverage digital finance to achieve these environmental goals.This study,through mechanism analysis,deeply examines how China’s digital finance promotes green and low-carbon development and elucidates the positive interaction between digital finance and the green industry.The study found that digital finance,through more flexible and efficient financial functions,alters the cost structure of carbon emissions,and reduces the risks and costs of green investments,thereby creating a cooperative green mechanism benefiting all parties,and guiding social groups toward a green and low-carbon transformation.Additionally,the rapid development of digital finance has strengthened the implementation of environmental protection policies,effectively promoted the expansion of the environmental protection industry,and established the green ethos as a mainstream concept in financial development.This study aims to provide reference perspectives and suggestions,assist policymakers in promoting the green and lowcarbon development of digital finance,and offer insights into the integrated development of digital finance and the green environmental protection industry.

3型哺乳动物正呼肠孤病毒SYBR Green I荧光定量PCR方法的建立及应用

哺乳动物正呼肠孤病毒(MRV)是双链RNA病毒,可以感染自然宿主的哺乳动物和脊椎动物。为建立一种针对3型哺乳动物正呼肠孤病毒(MRV-3)的特异且快速的检测方法,本研究根据Genbank登录的MRV-3(OQ627746-OQ627755)S1基因保守区设计1对特异性引物,并从MRV-3中扩增S1基因,构建重组质粒p MD18-S1,经PCR和测序鉴定正确后作为质粒标准品,经反应体系及反应条件优化后首次初步建立了检测MRV-3的SYBR Green I荧光定量PCR(q PCR)方法。将质粒标准品10倍倍比稀释后作为模板经该q PCR扩增,建立标准曲线,结果显示,质粒标准品在1.3×10^(8)拷贝/μL~1.3×10^(3)拷贝/μL与各自的Ct值均呈良好的线性关系,斜率为-3.1706,R^(2)为0.9999,熔解曲线为单峰。以牛病毒性腹泻病毒(BVDV)、牛肠道病毒(BEV)、水牛匈爱病毒(Buf Hu V)、牛冠状病毒(BCo V)、牛细小病毒(BPV)和MRV-3的基因组DNA/c DNA为模板,利用本研究建立的q PCR方法检测,评估该方法的特异性;将质粒标准品10倍倍比稀释至1.3×10^(2)拷贝/μL~1.3×10^(8)拷贝/μL后作为模板,分别利用本研究建立的q PCR和常规PCR检测,比较两种方法的检测结果,评估本研究建立q PCR方法的敏感性;以1.3×10^(3)拷贝/μL~1.3×10^(7)拷贝/μL 5个不同浓度的质粒标准品为模板,利用该方法分别进行批内和批间的重复性试验,评估该方法的重复性。结果显示,该方法只能检测出MRV-3,其他相关病原的检测结果均为阴性;该q PCR对质粒标准品的检测限为1.3×10^(3)拷贝/μL,比常规PCR敏感性高10 000倍;批内和批间重复性试验的变异系数均小于或等于1.0%,表明该q PCR方法特异性强、敏感性高、重复性好。利用该方法检测220份牛粪便样品,结果显示MRV-3的检出率(3.64%,8/220)高于常规PCR的检出率(1.36%,3/220),两种检测方法的阳性符合率达100%,阴性符合率为97.75%,总符合率为97.78%。综上所述,本研究首次建立的检测MRV-3的SYBR Green I q PCR方法可以用于临床牛腹泻病原的检测,为MRV-3尤其是牛源MRV-3提供了一种快速灵敏的检测手段,也为MRV-3的后续研究奠定了基础。

猪流行性腹泻病毒SYBR Green I实时荧光定量PCR检测方法的建立

为了建立高效、灵敏的猪流行性腹泻病毒(PEDV)检测方法,本研究从GenBank数据库中获取PEDV N基因序列,扩增出PEDV N基因标准质粒,并在N基因的保守区域内设计了一对特异性荧光定量引物,成功建立了SYBR Green I实时荧光定量PCR检测方法。经过一系列试验表明,该检测方法线性关系良好,R^(2)值为0.99;特异性强,敏感性高,最低可检测至2.23 copies/μL,比普通PCR灵敏约100倍;重复性好,组内变异系数为0.25%~0.43%,组间变异系数为0.67%~0.97%;对于各地区96份临床样品检测出PEDV阳性率为25%。本研究建立的实时荧光定量PCR检测方法为PEDV的临床诊断、流行病学调查以及定量研究提供了有效的检测工具。

三疣梭子蟹十足目虹彩病毒1 SYBR Green I荧光定量PCR检测方法的建立及初步应用

为建立十足目虹彩病毒1(decapod iridescent virus 1,DIV1)的SYBR GreenⅠ荧光定量PCR检测方法,根据DIV1的MCP和ATPase基因序列,设计并筛选出引物,以制备的DIV1阳性质粒标准品为模板构建标准曲线,建立DIV1的SYBR Green I qPCR方法,并对该方法进行临床初步应用。结果显示,建立的qPCR方法阈值循环数(cycle threshold value,Ct)与标准品拷贝数的对数线性关系良好,标准曲线相关系数(R^(2))为0.999;对DIV1阳性的虾蟹核酸样本能够进行特异性扩增,但对传染性脾肾坏死病毒(infectious spleen and kidney necrosis virus,ISKNV)和白斑综合征病毒(white spot syndrome virus,WSSV)阳性核酸样本均无扩增;最低检测限为9.77 copies/μL;Ct值的组内和组间变异系数均小于1%。运用该方法对70份疑似感染DIV1的虾蟹类样本进行DIV1检测,该方法阳性率为48.57%,与套式PCR检测方法的阳性率一致;利用建立的方法对DIV1阳性三疣梭子蟹的血淋巴、肝胰腺及心脏等组织进行定量检测分析,结果显示各组织中均存在DIV1,其中血淋巴中DIV1平均拷贝数最高。研究表明,建立的SYBR GreenⅠ荧光定量PCR方法特异性强、灵敏度高、重复性好,可用于对DIV1的快速、定量检测,对十足目虹彩病毒病的诊断和防控具有重要意义。

香辛料SYBR GREENⅠ染料实时聚合酶链式反应检测方法的建立及应用

目的:本研究致力于建立香辛料真实性成分的分子鉴定方法,为香辛料的掺假提供有效的鉴定和检测方法,在不同的使用条件下分别实现定性或半定量分析,为建立相关标准提供一定的基础技术支撑。方法:研究采用SYBR GREENⅠ染料实时聚合酶链式反应(polymerase chain reaction,PCR)方法,通过设计特异性引物成功建立了特异性检测八角、茴香、胡椒和花椒的分析技术。结果:该方法能够特异性检测出八角、茴香、胡椒、花椒,Ct值在标准品体积分数0.001%~10%范围内线性关系良好。针对八角标准品,检测限为1%;针对茴香、花椒、胡椒标准品,最检测限均为0.001%。利用该方法对5份实际样本进行检测,分别在样本1中未检测出八角、茴香、胡椒、花椒;样本2、3、5中检测出八角、茴香、胡椒;样本4中检测出八角、茴香、胡椒、花椒。结论:本实验建立的SYBR GREENⅠ染料实时PCR方法灵敏度高、重复性好,可应用于实际样品的检测。

SYBR GreenⅠ染料-实时荧光定量聚合酶链式反应法检测发酵乳中的霉菌和酵母含量

目的建立一种应用SYBR GreenⅠ染料的实时荧光定量聚合酶链式反应法快速检测发酵乳中的霉菌和酵母菌。方法本研究针对霉菌与酵母菌的保守序列设计引物,确定最优反应体系与反应条件。通过熔解曲线以及非目标菌株的检测验证该方法的特异性;通过菌悬液的梯度稀释检测确定该方法的灵敏度;通过菌悬液与发酵乳样品混合后进行检测,确定该方法的检出限,并得到标准曲线。结果该方法能够特异性的检测发酵乳中的霉菌、酵母菌,无交叉反应。该方法检测霉菌、酵母菌的灵敏度均为10^(2) CFU/mL,并且当菌悬液与发酵乳样品混合后,并没有降低该方法的检出限。在10^(2)~10^(6) CFU/mL浓度范围内,菌液浓度的对数值与循环阈值(cyclethreshold,Ct)具有良好的线性关系,可以在市售样品的检测中通过Ct值计算样品中目标菌的含量,更快的判断发酵乳是否被霉菌、酵母菌污染。结论该方法可用于发酵乳中霉菌和酵母菌的快速检测,为发酵乳的食品安全提供了技术保障。

多层非均质边坡降雨入渗分析的改进Green-Ampt模型

边坡降雨入渗分析对于降雨型滑坡加固设计、治理和风险防控至关重要。经典的Green-Ampt模型参数虽然具有明确的物理意义,计算便捷,但是忽略了入渗区客观存在的过渡层,并且不能有效分析考虑土体渗透系数空间变异性的多层非均质边坡降雨入渗问题。为此,提出了一种适用于多层非均质边坡降雨入渗分析的改进Green-Ampt模型,考虑了降雨入渗的椭圆形过渡层,推导了不同降雨历时下边坡含水率分布情况。同时,以无限长边坡模型为例,通过4种常见的边坡工况验证了该模型的有效性,并进行了降雨入渗条件下非均质边坡稳定性分析。结果表明:对于设定的4种工况,提出的改进Green-Ampt模型计算的边坡体积含水量分布、安全系数和滑动面深度与Richards方程数值解吻合,而基于修正Green-Ampt模型计算的边坡体积含水量和滑动面分布存在偏差,边坡安全系数偏小。此外,基于提出的改进Green-Ampt模型能够准确识别最危险滑动面位置。研究成果可为多层非均质边坡降雨入渗分析及降雨型滑坡加固设计及风险防控提供理论参考。

鸡圆环病毒SYBR GreenⅠ实时荧光定量PCR检测方法的建立

为快速准确检测鸡圆环病毒(CCV),试验根据CCV Rep基因设计特异性引物,以CCV阳性病料提取的DNA为模板进行PCR扩增,构建CCV重组质粒,建立检测CCV的SYBR GreenⅠ实时荧光定量PCR方法。结果显示:试验建立的方法对2.87×10^(8)~2.87×10^(1)copies/μL浓度范围的CCV重组质粒标准品呈现良好的线性关系,相关系数(R^(2))为0.9936,灵敏度比常规PCR高100倍;该方法对鸡传染性贫血病毒、新城疫病毒、传染性支气管炎病毒等常见鸡病毒性病原以及多杀性巴氏杆菌、禽致病性大肠杆菌、鸡白痢沙门氏菌无特异性扩增,批内和批间变异系数均不超过1%;该方法对60份疑似CCV感染临床样品检测结果显示,CCV阳性检出率(16.67%)高于常规PCR。上述结果表明,研究建立的CCV SYBR GreenⅠ实时荧光定量PCR方法具有良好的敏感性、特异性和重复性,检出限为2.87×10^(1)copies/μL,可以用于CCV的快速定量检测。

Laparoscopic left hemihepatectomy guided by indocyanine green fluorescence: A cranial-dorsal approach

BACKGROUND Advancements in laparoscopic technology and a deeper understanding of intra-hepatic anatomy have led to the establishment of more precise laparoscopic hepatectomy(LH)techniques.The indocyanine green(ICG)fluorescence navi-gation technique has emerged as the most effective method for identifying hepatic regions,potentially overcoming the limitations of LH.While laparoscopic left hemihepatectomy(LLH)is a standardized procedure,there is a need for innova-tive strategies to enhance its outcomes.important anatomical markers,surgical skills,and ICG staining methods.METHODS Thirty-seven patients who underwent ICG fluorescence-guided LLH at Qujing Second People's Hospital between January 2019 and February 2022 were retrospectively analyzed.The cranial-dorsal approach was performed which involves dissecting the left hepatic vein cephalad,isolating the Arantius ligament,exposing the middle hepatic vein,and dissecting the parenchyma from the dorsal to the foot in order to complete the anatomical LLH.The surgical methods,as well as intra-and post-surgical data,were recorded and analyzed.Our hospital’s Medical Ethics Committee approved this study(Ethical review:2022-019-01).RESULTS Intraoperative blood loss during LLH was 335.68±99.869 mL and the rates of transfusion and conversion to laparotomy were 13.5%and 0%,respectively.The overall incidence of complications throughout the follow-up(median of 18 months;range 1-36 months)was 21.6%.No mortality or severe complications(level IV)were reported.CONCLUSION LLH has the potential to become a novel,standardized approach that can effectively,safely,and simply expose the middle hepatic vein and meet the requirements of precision surgery.