Quantifying the agreement and accuracy characteristics of four satellite-based LULC products for cropland classification in China

Various land use and land cover(LULC)products have been produced over the past decade with the development of remote sensing technology.Despite the differences in LULC classification schemes,there is a lack of research on assessing the accuracy of their application to croplands in a unified framework.Thus,this study evaluated the spatial and area accuracies of cropland classification for four commonly used global LULC products(i.e.,MCD12Q1V6,GlobCover2009,FROM-GLC and GlobeLand30)based on the harmonised FAO criterion,and quantified the relationships between four factors(i.e.,slope,elevation,field size and crop system)and cropland classification agreement.The validation results indicated that MCD12Q1 and GlobeLand30 performed well in cropland classification regarding spatial consistency,with overall accuracies of 94.90 and 93.52%,respectively.The FROMGLC showed the worst performance,with an overall accuracy of 83.17%.Overlaying the cropland generated by the four global LULC products,we found the proportions of complete agreement and disagreement were 15.51 and 44.72% for the cropland classification,respectively.High consistency was mainly observed in the Northeast China Plain,the Huang-Huai-Hai Plain and the northern part of the Middle-lower Yangtze Plain,China.In contrast,low consistency was detected primarily on the eastern edge of the northern and semiarid region,the Yunnan-Guizhou Plateau and southern China.Field size was the most important factor for mapping cropland.For area accuracy,compared with China Statistical Yearbook data at the provincial scale,the accuracies of different products in descending order were:GlobeLand30,FROM-GLC,MCD12Q1,and GlobCover2009.The cropland classification schemes mainly caused large area deviations among the four products,and they also resulted in the different ranks of spatial accuracy and area accuracy among the four products.Our results can provide valuable suggestions for selecting cropland products at the national or provincial scale and help cropland mapping and reconstruction,which is essential for food security and crop management,so they can also contribute to achieving the Sustainable Development Goals issued by the United Nations.

Influence of initial check, information exchange, final accuracy check, reaction information nursing on the psychology of elderly with lung cancer

BACKGROUND As one of the fatal diseases with high incidence,lung cancer has seriously endangered public health and safety.Elderly patients usually have poor self-care and are more likely to show a series of psychological problems.AIM To investigate the effectiveness of the initial check,information exchange,final accuracy check,reaction(IIFAR)information care model on the mental health status of elderly patients with lung cancer.METHODS This study is a single-centre study.We randomly recruited 60 elderly patients with lung cancer who attended our hospital from January 2021 to January 2022.These elderly patients with lung cancer were randomly divided into two groups,with the control group taking the conventional propaganda and education and the observation group taking the IIFAR information care model based on the conventional care protocol.The differences in psychological distress,anxiety and depression,life quality,fatigue,and the locus of control in psychology were compared between these two groups,and the causes of psychological distress were analyzed.RESULTS After the intervention,Distress Thermometer,Hospital Anxiety and Depression Scale(HADS)for anxiety and the HADS for depression,Revised Piper’s Fatigue Scale,and Chance Health Locus of Control scores were lower in the observation group compared to the pre-intervention period in the same group and were significantly lower in the observation group compared to those of the control group(P<0.05).After the intervention,Quality of Life Questionnaire Core 30(QLQ-C30),Internal Health Locus of Control,and Powerful Others Health Locus of Control scores were significantly higher in the observation and the control groups compared to the pre-intervention period in their same group,and QLQ-C30 scores were significantly higher in the observation group compared to those of the control group(P<0.05).CONCLUSION The IIFAR information care model can help elderly patients with lung cancer by reducing their anxiety and depression,psychological distress,and fatigue,improving their tendencies on the locus of control in psychology,and enhancing their life qualities.

Accuracy assessment of global vertical displacement loading tide models for the equatorial and Indian Ocean

The three-dimensional displacements caused by ocean loading effects are significant enough to impact spatial geodetic measurements on sub-daily or longer timescales,particularly in the vertical direction.Currently,most tide models incorporate the distribution of vertical displacement loading tides;however,their accuracy has not been assessed for the equatorial and Indian Ocean regions.Global Positioning System(GPS)observations provide high-precision data on sea-level changes,enabling the assessment of the accuracy and reliability of vertical displacement tide models.However,because the tidal period of the K_(2) constituent is almost identical to the orbital period of GPS constellations,the estimation of the K_(2) tidal constituent from GPS observations is not satisfactory.In this study,the principle of smoothness is employed to correct the systematic error in K_(2) estimates in GPS observations through quadratic fitting.Using the adjusted harmonic constants from 31 GPS stations for the equatorial and Indian Ocean,the accuracy of eight major constituents from five global vertical displacement tide models(FES2014,EOT11a,GOT4.10c,GOT4.8,and NAO.99b)is evaluated for the equatorial and Indian Ocean.The results indicate that the EOT11a and FES2014 models exhibit higher accuracy in the vertical displacement tide models for the equatorial and Indian Ocean,with root sum squares errors of 2.29 mm and 2.34 mm,res-pectively.Furthermore,a brief analysis of the vertical displacement tide distribution characteristics of the eight major constituents for the equatorial and Indian Ocean was conducted using the EOT11a model.

Clinical study on improving the diagnostic accuracy of adult elbow joint cartilage injury by multisequence magnetic resonance imaging

BACKGROUND Due to frequent and high-risk sports activities,the elbow joint is susceptible to injury,especially to cartilage tissue,which can cause pain,limited movement and even loss of joint function.AIM To evaluate magnetic resonance imaging(MRI)multisequence imaging for improving the diagnostic accuracy of adult elbow cartilage injury.METHODS A total of 60 patients diagnosed with elbow cartilage injury in our hospital from January 2020 to December 2021 were enrolled in this retrospective study.We analyzed the accuracy of conventional MRI sequences(T1-weighted imaging,T2-weighted imaging,proton density weighted imaging,and T2 star weighted image)and Three-Dimensional Coronary Imaging by Spiral Scanning(3D-CISS)in the diagnosis of elbow cartilage injury.Arthroscopy was used as the gold standard to evaluate the diagnostic effect of single and combination sequences in different injury degrees and the consistency with arthroscopy.RESULTS The diagnostic accuracy of 3D-CISS sequence was 89.34%±4.98%,the sensitivity was 90%,and the specificity was 88.33%,which showed the best performance among all sequences(P<0.05).The combined application of the whole sequence had the highest accuracy in all sequence combinations,the accuracy of mild injury was 91.30%,the accuracy of moderate injury was 96.15%,and the accuracy of severe injury was 93.33%(P<0.05).Compared with arthroscopy,the combination of all MRI sequences had the highest consistency of 91.67%,and the kappa value reached 0.890(P<0.001).CONCLUSION Combination of 3D-CISS and each sequence had significant advantages in improving MRI diagnostic accuracy of elbow cartilage injuries in adults.Multisequence MRI is recommended to ensure the best diagnosis and treatment.

Numerical Investigation of Thermal Behavior of CNC Machine Tool and Its Effects on Dimensional Accuracy of Machined Parts

The dimensional accuracy of machined parts is strongly influenced by the thermal behavior of machine tools (MT). Minimizing this influence represents a key objective for any modern manufacturing industry. Thermally induced positioning error compensation remains the most effective and practical method in this context. However, the efficiency of the compensation process depends on the quality of the model used to predict the thermal errors. The model should consistently reflect the relationships between temperature distribution in the MT structure and thermally induced positioning errors. A judicious choice of the number and location of temperature sensitive points to represent heat distribution is a key factor for robust thermal error modeling. Therefore, in this paper, the temperature sensitive points are selected following a structured thermomechanical analysis carried out to evaluate the effects of various temperature gradients on MT structure deformation intensity. The MT thermal behavior is first modeled using finite element method and validated by various experimentally measured temperature fields using temperature sensors and thermal imaging. MT Thermal behavior validation shows a maximum error of less than 10% when comparing the numerical estimations with the experimental results even under changing operation conditions. The numerical model is used through several series of simulations carried out using varied working condition to explore possible relationships between temperature distribution and thermal deformation characteristics to select the most appropriate temperature sensitive points that will be considered for building an empirical prediction model for thermal errors as function of MT thermal state. Validation tests achieved using an artificial neural network based simplified model confirmed the efficiency of the proposed temperature sensitive points allowing the prediction of the thermally induced errors with an accuracy greater than 90%.

Study on the Accuracy of Serum Prealbumin Level in Predicting the Prognosis of Patients with Critical Respiratory Illness

Objective: To analyze the accuracy of serum prealbumin levels in predicting the prognosis of patients with critical respiratory illness. Methods: Fifty patients with critical respiratory illness admitted to our hospital from October 2022 to September 2023 were selected and divided into an observation group and a control group after condition assessment, with 25 cases in each group. The results of cholinesterase (ChE), prealbumin (PALB), albumin (ALB), aspartate aminotransferase (AST), total protein (TP), and forced expiratory volume (FEV1)/Predicted (Pred) of the two groups were measured. Results: The ChE levels of the observation group were lower than those of the control group, while the PALB and ALB levels of the observation group were higher than those of the control group (P < 0.05). The AST, TP, and FEV1 /Pred levels of the observation group were higher than those in the control group (P < 0.05). Conclusion: Serum PALB levels can be used as the main indicator for prognosis in critically ill respiratory patients.

Drosophila models used to simulate human ATP1A1 gene mutations that cause Charcot-Marie-Tooth type 2 disease and refractory seizures

Certain amino acids changes in the human Na^(+)/K^(+)-ATPase pump,ATPase Na^(+)/K^(+)transporting subunit alpha 1(ATP1A1),cause Charcot-Marie-Tooth disease type 2(CMT2)disease and refractory seizures.To develop in vivo models to study the role of Na^(+)/K^(+)-ATPase in these diseases,we modified the Drosophila gene homolog,Atpα,to mimic the human ATP1A1 gene mutations that cause CMT2.Mutations located within the helical linker region of human ATP1A1(I592T,A597T,P600T,and D601F)were simultaneously introduced into endogenous Drosophila Atpαby CRISPR/Cas9-mediated genome editing,generating the Atpα^(TTTF)model.In addition,the same strategy was used to generate the corresponding single point mutations in flies(Atpα^(I571T),Atpα^(A576T),Atpα^(P579T),and Atpα^(D580F)).Moreover,a deletion mutation(Atpα^(mut))that causes premature termination of translation was generated as a positive control.Of these alleles,we found two that could be maintained as homozygotes(Atpα^(I571T)and Atpα^(P579T)).Three alleles(Atpα^(A576T),Atpα^(P579)and Atpα^(D580F))can form heterozygotes with the Atpαmut allele.We found that the Atpαallele carrying these CMT2-associated mutations showed differential phenotypes in Drosophila.Flies heterozygous for Atpα^(TTTF)mutations have motor performance defects,a reduced lifespan,seizures,and an abnormal neuronal morphology.These Drosophila models will provide a new platform for studying the function and regulation of the sodium-potassium pump.

Finite-difference numerical modeling with even-order accuracy in two-phase anisotropic media

To improve the accuracy of the conventional finite-difference method, finitedifference numerical modeling methods of any even-order accuracy are recommended. We introduce any even-order accuracy difference schemes of any-order derivatives derived from Taylor series expansion. Then, a finite-difference numerical modeling method with any evenorder accuracy is utilized to simulate seismic wave propagation in two-phase anisotropic media. Results indicate that modeling accuracy improves with the increase of difference accuracy order number. It is essential to find the optimal order number, grid size, and time step to balance modeling precision and computational complexity. Four kinds of waves, static mode in the source point, SV wave cusps, reflection and transmission waves are observed in two-phase anisotropic media through modeling.

基于1D-CNN的无砟轨道CA砂浆脱空识别

为解决水泥乳化沥青砂浆(CA砂浆)脱空位置识别的难题,提出考虑CA砂浆脱空的无砟轨道模型建模与计算方案。首先,基于CRTS I型板式无砟轨道“梁-板-板”建模理论,使用非线性弹簧模拟CA砂浆脱空病害,输入扣件支点反力作为模型的激励,得到监测点位的垂向加速度数据集。其次,通过对数据集缩放、添加噪声的方式进行数据增强,增强数据集的差异,以增强识别模型的泛化性,获得更加准确的识别结果。最后,建立脱空病害的识别方法,搭建一维卷积神经网络(1D-CNN)进行CA砂浆的脱空位置识别,构建准确率、查准率和查全率等评价指标评估识别结果,使用t-SNE降维算法对结果进行可视化。对比其他3种神经网络的表现,探讨1D-CNN应用于CA砂浆脱空位置识别的优势。研究结果表明:“梁-板-板”模型反映了无砟轨道的力学本征,用于CA砂浆脱空问题的仿真模拟是可行的;通过对数据集信号缩放、添加噪声的方式进行数据增强可提高深度学习模型的性能;从深度学习的角度来看,CA砂浆脱空发生在板中造成的危害较小,应重点关注板端CA砂浆脱空的养护与维修问题;1D-CNN相比其他3种模型运算时间短,在CA砂浆脱空位置识别数据集上优势更大,识别准确率可达95%以上。研究结果为进一步提高无砟轨道结构监测的自动化和智能化水平提供参考。

IMPROVEMENT OF MACHINING ACCURACY OF CANTILEVER BORING BAR SYSTEM USING PIEZOELECTRIC ACTUATOR

This paper is concerned with the work involved in improving the machining accuracy of a cantilever boring bar by on line compensation with a piezoelectric actuator. A boring bar is made into lever structure, with strain gauges attached to the bar for measuring its force induced deflections. The piezoelectric actuator is employed to compensate the deflections of the boring bar for accuracy improvement. Due to the mechanical advantage of the structure, the boring bar can be made into smaller size. The diameter of the bar implemented is 10 mm and the ratio of length to diameter (L/D) is larger than 8. It is found that the machining accuracy is improved considerably by using the piezoelectric actuator compensation system.

CRISPR/CAS9敲除PD-1的肿瘤浸润T淋巴细胞回输对小鼠结肠癌的治疗作用

目的:探讨应用成簇规律间隔的短回文重复序列及其相关蛋白(CRISPR/Cas9)技术敲除程序性死亡分子-1(PD-1)的肿瘤浸润淋巴细胞(TIL)回输对结肠癌小鼠的治疗作用。方法:皮下注射CT26构建小鼠结肠癌模型,从3只模型小鼠肿瘤组织中提取TIL,并提取外周血淋巴细胞;对TIL进行PD-1基因敲除;回输实验分为对照组(Control)、输注淋巴细胞组(Lym)、输注荷瘤小鼠TIL组(TIL)、慢病毒空载对照组(pVSV-G-PX458-NC)组、PX458-PD-1-sgRNA1组(PD-1-sgRNA1),每组10只;测量各组小鼠肿瘤组织质量及肿瘤抑制率;TUNEL法检测各组小鼠肿瘤组织细胞凋亡;ELISA检测各组小鼠肿瘤组织TNF-α和IFN-γ含量;免疫组化检测肿瘤组织CD4+T、CD8+T细胞表达;免疫荧光法检测肿瘤组织细胞增殖核抗原-67(Ki-67)和血管内皮生长因子(VEGF)表达;Western blot检测肿瘤组织PD-1及其主要配体PD-L1表达。结果:PD-1-sgRNA1能明显抑制小鼠肿瘤细胞体内生长,抑制肿瘤组织Ki-67和VEGF表达及PD-1、PD-L1表达,提高肿瘤组织细胞凋亡率、TNF-α、IFN-γ含量、CD4+T、CD8+T细胞表达(均P<0.05)。结论:CRISPR/CAS9敲除PD-1的TIL回输能明显抑制结肠癌小鼠肿瘤组织Ki-67和VEGF表达,增加CD4+T、CD8+T细胞,诱导肿瘤细胞凋亡,发挥抑制肿瘤生长作用。

血清CYFRA21-1、CA125联合HPV DNA检测在宫颈癌早期筛查中的价值及病理特征研究

目的分析血清细胞角蛋白19片段(CYFRA21-1)、糖类抗原125(CA125)联合HPV DNA检测在宫颈癌早期筛查中的价值及病理特征。方法选取2019年8月至2023年6月沧州市中心医院收治的宫颈癌患者152例为观察组,另选取同期在本院行体检且各项正常女性80名为对照组;对比两组血清CYFRA21-1、CA125水平以及HPV DNA检测结果;对比观察组不同手术病理结果及血清CYFRA21-1、CA125表达水平以及HPV DNA检测结果;以病理学检查为金标准,分析血清CYFRA21-1、CA125水平以及HPV DNA检测单独以及联合诊断宫颈癌的一致性;绘制ROC曲线,分析血清CYFRA21-1、CA125联合HPV DNA单独检测及联合检测宫颈癌的效能。结果152例患者中,鳞状细胞癌104例,腺癌患者48例;其中轻度不典型增生66例、中度不典型增生57例、重度不典型增生29例。观察组血清CYFRA21-1、CA125水平以及HPV DNA阳性率均高于对照组,差异有统计学意义(P<0.05);血清CYFRA21-1、CA125水平:鳞状细胞癌<腺癌,轻度不典型增生<中度不典型增生<重度不典型增生,差异均有统计学意义(P<0.05)。观察组不同分期、不同肿瘤增生类型的HPV DNA阳性率比较,差异无统计学意义(P>0.05);血清CYFRA21-1、CA125水平、HPV DNA检测单独以及联合诊断宫颈癌与病理学检查结果的一致性Kappa值分别为0.677、0.731、0.756、0.902;CA125+CYFRA21-1+HPV DNA联合检测的AUC为0.894,高于CA125、CYFRA21-1、HPV DNA单独检测(P>0.05)。结论血清CYFRA21-1、CA125联合HPV DNA检测的诊断效能高于单一检测,提示三指标联合检测可显著提高宫颈癌早期筛查的诊断价值,可为制定临床治疗方案提供参考资料。

血清CEA、CA242、CA199、PGR联合检验在早期胃癌辅助诊断中的临床价值

目的探讨血清CEA、CA242、CA199、PGR联合检验在早期胃癌中的诊断价值。方法选取我院2022年1月至2023年1月收治的胃癌患者82例作为观察组,另选同期健康体检者50例作为对照组。检测两组的CEA、CA242、CA199、PGR水平,绘制ROC曲线分析血清CEA、CA242、CA199、PGR及联合检验诊断胃癌的临床价值。结果观察组血清CEA、CA242、CA199水平高于对照组,PGR水平低于对照组(P<0.05)。绘制ROC曲线显示,血清CEA、CA242、CA199、PGR联合检验诊断胃癌的AUC为0.960,高于单项检验的0.762、0.796、0.757、0.773。结论血清CEA、CA242、CA199、PGR联合检验在胃癌早期诊断中具有一定价值,诊断效能更高,便于早期确诊与治疗。

基于CA-YOLOv9网络的实时全景多尺度课堂行为识别

随着人工智能的发展和“智慧课堂”概念的兴起,课堂行为智能化识别成为研究的热点。目前,国内外研究多采用数个学生或教室的局部影像,而对于学生人数密集、尺度变化范围大且存在大量物体遮挡的全景教室图像实时检测鲜有涉及。为此,文章基于YOLOv9网络,加入CA模块,构建了CA-YOLOv9网络;之后,通过结构分析实验、消融实验和对比实验,得到了CA-YOLOv9网络的最佳结构,并验证了其识别性能;最后,将训练好的CA-YOLOv9网络应用于全景多尺度课堂行为识别,证明了该网络能在不降低推理速度的同时提升检测精度,初步验证了该网络在智慧课堂中实时应用的可行性。文章的研究可为及时了解学生的学习状态和教师教学方法的有效性提供依据,有助于推动人工智能与教育教学的深度融合。

氟碳铈矿除Ca、Si制备脱硝催化剂及其脱硝性能的研究

包头混合稀土精矿是氟碳铈矿(CeCO_(3)F)和独居石(CePO_(4))的共生矿物,结构复杂,难以分解,且Ca、Si杂质嵌布在矿物表面,影响了稀土矿物的脱硝活性,因此在使用天然矿物作为催化剂之前,有必要对其进行除杂预处理。采用酸浸固氟焙烧方案将氟碳铈矿制成脱硝催化剂,具体工艺为:第一步,HCl除Ca,HCl浓度为6mol/L,氟碳铈矿与NaCl(固氟剂)质量比为1∶5,混合并搅拌12h后于500℃下焙烧2h;第二步,HF除Si,HF浓度为13mol/L,除Ca后粉末与NaCl质量比为1∶5,混合并搅拌12h后于500°C下焙烧2h。氟碳铈矿除Ca、Si后制备的催化剂中Ca含量降至1.85%,Si含量降至0.17%,稀土元素含量相比原矿提高了约22%。氟碳铈矿除Ca、Si后,表面形成了发达的孔结构,比表面积增大,活性元素增多,且部分Ce的价态由+3价转变为+4价,还形成了晶格氧,这些组织结构的变化为催化剂脱硝过程提供了更多的氧化还原中心,使得催化剂脱硝性能显著提高。因此,用除杂后的氟碳铈矿作脱硝催化剂比直接用天然矿物具有更大的优势。

基于CRISPR/Cas系统的检测技术在老年感染性疾病常见病原体中的研究进展

老年感染性疾病是全球老年人死亡的主要原因之一。由于老年人免疫力下降,合并慢性基础疾病等因素,导致其感染因素更复杂且临床表现各异。及早、快速和准确地鉴别出老年感染性病原体,对临床精准的抗感染治疗,减少老年病人并发症及降低死亡率有重要意义。传统病原体检测方法存在依赖标本活菌,检测时间长,检测人员准入条件高或依赖昂贵仪器等缺点。随着CRISPR/Cas系统在微生物检测中的应用,基于CRISPR/Cas系统的检测技术在老年感染性疾病病原体应用的优势也日渐突出。CRISPR/Cas系统能高效准确地鉴定出病原体,尤其是对于标本量少、微生物丰度低、采样困难或需要快速床旁检测的老年感染性疾病的辅助诊断具有重要的价值。本文主要对基于CRISPR/Cas系统的检测技术在老年感染性疾病病原体检测方面的研究进展进行综述。

Accuracy analysis of plane-strain bulge test for determining mechanical properties of thin films

The effect of a variety of geometrics, initial conditions and material properties on the deformation behavior of thin films in the plane-strain bulge test was systematically scrutinized by performing the finite element analysis, and then the accuracy of the plane-strain bulge test in determining the mechanical properties of thin films in terms of our finite element results was analyzed. The results indicate that although the determination of the plane-strain modulus in the light of the plane-strain bulge equation is fairly accurate, the calculation of the residual stress is not satisfied as expected, especially for low residual stress. Finally, an approach is proposed for analyzing bulge test data, which will improve the accuracy and reliability of this bulge test technique.

不同矿浆温度下Ca^(2+)、Mg^(2+)对黄铁矿可浮性的影响

这是一篇矿物加工工程领域的论文。通过单矿物浮选实验、浮选溶液化学、Zeta电位、XPS,研究了不同矿浆温度下Ca^(2+)、Mg^(2+)对黄铁矿浮选效果的影响机理,结果表明:低温能够明显抑制黄铁矿的浮选,且温度降低能够明显弱化Ca^(2+)、Mg^(2+)对黄铁矿浮选的抑制作用。当矿浆温度从20℃降至5℃时,矿浆中带电粒子运动速度减慢,Zeta电位增大,生成氢氧化钙镁沉淀的临界pH值增大,纯水矿浆中黄铁矿表面的FeO/OH的比例减小,Ca^(2+)、Mg^(2+)矿浆中黄铁矿表面FeO/OH含量的降低幅度减小,减少了黄铁矿表面的氧化程度和活性吸附位点,减少了Ca^(2+)、Ca(OH)+,Mg^(2+)和Mg(OH)+等离子在黄铁矿表面的吸附;但低温并不改变Ca^(2+)、Mg^(2+)在黄铁矿表面的存在形式和吸附状态,pH值为9时,钙镁均以Ca^(2+)、Ca(OH)+、Mg^(2+)、Mg(OH)+的形式存在并吸附在黄铁矿表面。

血清CA125、CA724、CEA水平与胃癌临床病理特征的关系研究

目的探讨血清糖类抗原(CA)125、CA724、癌胚抗原(CEA)水平与胃癌(GC)患者临床病理特征的关系。方法选取80例GC患者作为观察组,另选取同期80例胃部良性病变患者作为对照组。检测并比较两组患者血清CA125、CA724、CEA水平及其阳性检出率,并分析GC患者血清CA125、CA724、CEA水平与其临床病理特征的关系。结果观察组CA125、CA724、CEA水平及其阳性检出率均明显高于对照组(P<0.05);且TNM分期为Ⅲ~Ⅳ期、分化程度低、浸润深度在黏膜下层以及有淋巴结转移的GC患者血清CA125、CA724、CEA水平均明显增高,差异均具有统计学意义(P<0.05)。结论CA125、CA724、CEA在GC中呈高表达状态,且与TNM分期、分化程度、浸润深度和淋巴结转移关系密切,可为GC患者病情发展的进一步评估提供有力的参考,也可作为GC预后的评估指标。