BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor outcomes.Accurate preoperative predictio...BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor outcomes.Accurate preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment deci-sions.However,prior models using conventional computed tomography(CT)images to predict LVI or PNI separately have had limited accuracy.Spectral CT provides quantitative enhancement parameters that may better capture tumor invasion.We hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC patients.AIM To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status accurately.METHODS This study used a retrospective dataset involving 257 GC patients(training cohort,n=172;validation cohort,n=85).First,several clinical indicators,including serum tumor markers,CT-TN stages and CT-detected extramural vein invasion(CT-EMVI),were extracted,as were quantitative spectral CT parameters from the delineated tumor regions.Next,a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters.A logistic regression(LR)-based nomogram model was subsequently constructed to predict LVI/PNI status,and its performance was evaluated using the area under the receiver operating characteristic curve(AUC).RESULTS In both the training and validation cohorts,CT T3-4 stage,CT-N positive status,and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant(P<0.05).LR analysis of the training group showed preoperative CT-T stage,CT-EMVI,single-energy CT values of 70 keV of venous phase(VP-70 keV),and the ratio of standardized iodine concentration of equilibrium phase(EP-NIC)were independent influencing factors.The AUCs of VP-70 keV and EP-NIC were 0.888 and 0.824,respectively,which were slightly greater than those of CT-T and CT-EMVI(AUC=0.793,0.762).The nomogram combining CT-T stage,CT-EMVI,VP-70 keV and EP-NIC yielded AUCs of 0.918(0.866-0.954)and 0.874(0.784-0.936)in the training and validation cohorts,which are significantly higher than using each of single independent factors(P<0.05).CONCLUSION The study found that using portal venous and EP spectral CT parameters allows effective preoperative detection of LVI/PNI in GC,with accuracy boosted by integrating clinical markers.展开更多
BACKGROUND Lymphovascular invasion (LVI) is suggested to be an early and important step in tumor progression toward metastasis, but its prognostic value and genetic mechanisms in colorectal cancer (CRC) have not been ...BACKGROUND Lymphovascular invasion (LVI) is suggested to be an early and important step in tumor progression toward metastasis, but its prognostic value and genetic mechanisms in colorectal cancer (CRC) have not been well investigated. AIM To investigate the prognostic value of LVI in CRC and identify the associated genomic alterations. METHODS We performed a retrospective analysis of 1219 CRC patients and evaluated the prognostic value of LVI for overall survival by the Kaplan-Meier method and multivariate Cox regression analysis. We also performed an array-based comparative genomic hybridization analysis of 47 fresh CRC samples to examine the genomic alterations associated with LVI. A decision tree model was applied to identify special DNA copy number alterations (DCNAs) for differentiating between CRCs with and without LVI. Functional enrichment and protein-protein interaction network analyses were conducted to explore the potential molecular mechanisms of LVI. RESULTS LVI was detected in 150 (12.3%) of 1219 CRCs, and the presence was positively associated with higher histological grade and advanced tumor stage (both P < 0.001). Compared with the non-LVI group, the LVI group showed a 1.77-fold (95% confidence interval: 1.40-2.25, P < 0.001) increased risk of death and a significantly lower 5-year overall survival rate (P < 0.001). Based on the comparative genomic hybridization data, 184 DCNAs (105 gains and 79 losses) were identified to be significantly related to LVI (P < 0.05), and the majority were located at 22q, 17q, 10q, and 6q. We further constructed a decision tree classifier including seven special DCNAs, which could distinguish CRCs with LVI from those without it at an accuracy of 95.7%. Functional enrichment and proteinprotein interaction network analyses revealed that the genomic alterations related to LVI were correlated with inflammation, epithelial-mesenchymal transition, angiogenesis, and matrix remodeling. CONCLUSION LVI is an independent predictor for survival in CRC, and its development may correlate with inflammation, epithelial-mesenchymal transition, angiogenesis, and matrix remodeling.展开更多
AIM To assess the prognostic value of lymphovascular invasion(LVI)in Bismuth-Corlette typeⅣhilar cholangiocarcinoma(HC)patients. METHODS A retrospective analysis was performed on 142consecutively recruited typeⅣHC p...AIM To assess the prognostic value of lymphovascular invasion(LVI)in Bismuth-Corlette typeⅣhilar cholangiocarcinoma(HC)patients. METHODS A retrospective analysis was performed on 142consecutively recruited typeⅣHC patients undergoing radical resection with at least 5 years of followup.Survival analysis was performed by the KaplanMeier method,and the association between the clinicopathologic variables and survival was evaluated by log-rank test.Multivariate analysis was adopted to identify the independent prognostic factors for overall survival(OS)and disease-free survival(DFS).Multiple logistic regression analysis was performed to determine the association between LVI and potential variables. RESULTS LVI was confirmed histopathologically in 29(20.4%)patients.Multivariate analysis showed that positive resection margin(HR=6.255,95%CI:3.485-11.229,P<0.001),N1 stage(HR=2.902,95%CI:1.132-7.439,P=0.027),tumor size>30 mm(HR=1.942,95%CI:1.176-3.209,P=0.010)and LVI positivity(HR=2.799,95%CI:1.588-4.935,P<0.001)were adverse prognostic factors for DFS.The independent risk factors for OS were positive resection margin(HR=6.776,95%CI:3.988-11.479,P<0.001),N1 stage(HR=2.827,95%CI:1.243-6.429,P=0.013),tumor size>30 mm(HR=1.739,95%CI:1.101-2.745,P=0.018)and LVI positivity(HR=2.908,95%CI:1.712-4.938,P<0.001).LVI was associated with N1 stage and tumor size>30 mm.Multiple logistic regression analysis indicated that N1 stage(HR=3.312,95%CI:1.338-8.198,P=0.026)and tumor size>30 mm(HR=3.258,95%CI:1.288-8.236,P=0.013)were associated with LVI. CONCLUSION LVI is associated with N1 stage and tumor size>30mm and adversely influences DFS and OS in typeⅣHC patients.展开更多
AIM: To investigate the meaning of lymphovascular invasion (LVI) in rectal cancer after neoadjuvant radiotherapy. METHODS: A total of 325 patients who underwent radical resection using total mesorectal excision (TME) ...AIM: To investigate the meaning of lymphovascular invasion (LVI) in rectal cancer after neoadjuvant radiotherapy. METHODS: A total of 325 patients who underwent radical resection using total mesorectal excision (TME) from January 2000 to January 2005 in Beijing cancer hospital were included retrospectively, divided into a preoperative radiotherapy (PRT) group and a control group, according to whether or not they underwent preoperative radiation. Histological assessments of tumor specimens were made and the correlation of LVI and prognosis were evaluated by univariate and multivariate analysis. RESULTS: The occurrence of LVI in the PRT and control groups was 21.4% and 26.1% respectively. In the control group, LVI was signifi cantly associated with histological differentiation and pathologic TNM stage, whereas these associations were not observed in the PRT group. LVI was closely correlated to disease progression and 5-year overall survival (OS) in both groups. Among the patients with disease progression, LVI positive patients in the PRT group had a signifi cantly longer median disease-free period (22.5 mo vs 11.5 mo, P = 0.023) and overall survival time (42.5 mo vs 26.5 mo, P = 0.035) compared to those in the control group, despite the fact that no signifi cant difference in 5-year OS rate was observed (54.4% vs 48.3%, P = 0.137). Multivariate analysis showed the distance of tumor from the anal verge, pretreatment serum carcinoembryonic antigen level, pathologic TNM stage and LVI were the major factors affecting OS. CONCLUSION: Neoadjuvant radiotherapy does not reduce LVI significantly; however, the prognostic meaning of LVI has changed. Patients with LVI may benefi t from neoadjuvant radiotherapy.展开更多
目的探讨子宫低级别子宫内膜样癌患者淋巴脉管间隙浸润(lymphovascular space invasion,LVSI)的影响因素。方法回顾性分析2015年1月~2023年5月167例手术病理诊断低级别(G1、G2)子宫内膜样癌患者的临床资料。选择年龄、是否绝经、异常阴...目的探讨子宫低级别子宫内膜样癌患者淋巴脉管间隙浸润(lymphovascular space invasion,LVSI)的影响因素。方法回顾性分析2015年1月~2023年5月167例手术病理诊断低级别(G1、G2)子宫内膜样癌患者的临床资料。选择年龄、是否绝经、异常阴道出血时间、合并代谢综合征、CA125升高(≥35 U/ml)、子宫内膜厚度、宫腔占位、合并子宫腺肌症、国际妇产科联盟(International Federation of Gynecology and Obstetrics,FIGO)2009分期9项指标进行单因素分析,对P<0.05的因素进行二元logistic回归分析。结果167例子宫低级别子宫内膜样癌患者中,LVSI 24例(14.4%)。对单因素分析中P<0.05的4项因素(异常阴道出血时间≥4个月、CA125升高、合并子宫腺肌症、分期Ⅱ期及以上)进行二元logistic回归分析,结果显示分期Ⅱ期及以上(OR=7.357,95%CI:2.140~25.288,P=0.002),CA125升高(OR=4.883,95%CI:1.612~14.794,P=0.005)为子宫低级别子宫内膜样癌LVSI的独立预后因素。结论FIGO 2009分期Ⅱ期及以上、CA125≥35 U/ml与子宫低级别子宫内膜样癌患者LVSI有关,间接提示淋巴结转移风险,术前应高度关注,以便制定更为精准的手术方案。展开更多
目的探讨酰胺质子转移加权成像(amide proton transfer weighted imaging,APTw)的影像组学术前预测宫颈癌淋巴血管间隙侵犯(lymphovascular space invasion,LVSI)的价值。材料与方法回顾性分析经手术病理证实的宫颈癌患者病例及影像资...目的探讨酰胺质子转移加权成像(amide proton transfer weighted imaging,APTw)的影像组学术前预测宫颈癌淋巴血管间隙侵犯(lymphovascular space invasion,LVSI)的价值。材料与方法回顾性分析经手术病理证实的宫颈癌患者病例及影像资料66例。所有患者均行盆腔3.0 T MRI检查,包括轴位T2WI、矢状位T2WI、动态对比增强磁共振成像(dynamic contrast enhanced magnetic resonance imaging,DCE-MRI)和3D-APTw序列扫描。在APTw-T2WI融合图像上对肿瘤实质区域进行感兴趣区(region of interest,ROI)勾画并记录APT值。在APT重建图像上进行肿瘤病灶分割并提取影像组学特征。采用组内相关系数(intra-class correlation coefficient,ICC)选取观察者内和观察者间复测信度好的影像组学特征(ICC>0.900)。采用递归特征消除法(recursive feature elimination,RFE)及最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)算法进行特征降维和筛选。基于logistic回归分类器构建临床模型、APTw影像组学模型和联合组学模型。采用受试者工作特征(receiver operating characteristic,ROC)曲线和决策曲线分析(decision curve analysis,DCA)评估模型的诊断效能和临床价值,采用DeLong检验比较不同模型的预测效能。结果在训练集中,APTw影像组学模型预测宫颈癌LVSI的效能高于临床模型(AUC=0.826 vs.0.675),差异有统计学意义(DeLong检验P<0.05)。联合组学模型在训练集和测试集中的AUC值分别为0.838和0.825。DeLong检验结果显示,联合组学模型在训练集中术前评估LVSI的效能显著高于临床模型和APTw影像组学模型(P均<0.05)。决策曲线显示APTw影像组学模型和联合组学模型在训练集和测试集中均具有较高的临床价值。结论基于APTw的影像组学模型在术前预测宫颈癌LVSI方面具有较高的潜力,联合临床因素能进一步提高预测效能,有望为宫颈癌患者的个体化治疗和预后评估提供重要的支持。展开更多
基金Supported by Science and Technology Project of Fujian Province,No.2022Y0025.
文摘BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor outcomes.Accurate preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment deci-sions.However,prior models using conventional computed tomography(CT)images to predict LVI or PNI separately have had limited accuracy.Spectral CT provides quantitative enhancement parameters that may better capture tumor invasion.We hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC patients.AIM To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status accurately.METHODS This study used a retrospective dataset involving 257 GC patients(training cohort,n=172;validation cohort,n=85).First,several clinical indicators,including serum tumor markers,CT-TN stages and CT-detected extramural vein invasion(CT-EMVI),were extracted,as were quantitative spectral CT parameters from the delineated tumor regions.Next,a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters.A logistic regression(LR)-based nomogram model was subsequently constructed to predict LVI/PNI status,and its performance was evaluated using the area under the receiver operating characteristic curve(AUC).RESULTS In both the training and validation cohorts,CT T3-4 stage,CT-N positive status,and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant(P<0.05).LR analysis of the training group showed preoperative CT-T stage,CT-EMVI,single-energy CT values of 70 keV of venous phase(VP-70 keV),and the ratio of standardized iodine concentration of equilibrium phase(EP-NIC)were independent influencing factors.The AUCs of VP-70 keV and EP-NIC were 0.888 and 0.824,respectively,which were slightly greater than those of CT-T and CT-EMVI(AUC=0.793,0.762).The nomogram combining CT-T stage,CT-EMVI,VP-70 keV and EP-NIC yielded AUCs of 0.918(0.866-0.954)and 0.874(0.784-0.936)in the training and validation cohorts,which are significantly higher than using each of single independent factors(P<0.05).CONCLUSION The study found that using portal venous and EP spectral CT parameters allows effective preoperative detection of LVI/PNI in GC,with accuracy boosted by integrating clinical markers.
基金the National Natural Science Foundation of China,No.81874201Shanghai Municipal Commission of Health and Family Planning,No.ZK2015A32 and No.201840359
文摘BACKGROUND Lymphovascular invasion (LVI) is suggested to be an early and important step in tumor progression toward metastasis, but its prognostic value and genetic mechanisms in colorectal cancer (CRC) have not been well investigated. AIM To investigate the prognostic value of LVI in CRC and identify the associated genomic alterations. METHODS We performed a retrospective analysis of 1219 CRC patients and evaluated the prognostic value of LVI for overall survival by the Kaplan-Meier method and multivariate Cox regression analysis. We also performed an array-based comparative genomic hybridization analysis of 47 fresh CRC samples to examine the genomic alterations associated with LVI. A decision tree model was applied to identify special DNA copy number alterations (DCNAs) for differentiating between CRCs with and without LVI. Functional enrichment and protein-protein interaction network analyses were conducted to explore the potential molecular mechanisms of LVI. RESULTS LVI was detected in 150 (12.3%) of 1219 CRCs, and the presence was positively associated with higher histological grade and advanced tumor stage (both P < 0.001). Compared with the non-LVI group, the LVI group showed a 1.77-fold (95% confidence interval: 1.40-2.25, P < 0.001) increased risk of death and a significantly lower 5-year overall survival rate (P < 0.001). Based on the comparative genomic hybridization data, 184 DCNAs (105 gains and 79 losses) were identified to be significantly related to LVI (P < 0.05), and the majority were located at 22q, 17q, 10q, and 6q. We further constructed a decision tree classifier including seven special DCNAs, which could distinguish CRCs with LVI from those without it at an accuracy of 95.7%. Functional enrichment and proteinprotein interaction network analyses revealed that the genomic alterations related to LVI were correlated with inflammation, epithelial-mesenchymal transition, angiogenesis, and matrix remodeling. CONCLUSION LVI is an independent predictor for survival in CRC, and its development may correlate with inflammation, epithelial-mesenchymal transition, angiogenesis, and matrix remodeling.
基金Supported by Science and Technology Support Project of Sichuan Province,No.2015SZ0070 and No.2014FZ0049
文摘AIM To assess the prognostic value of lymphovascular invasion(LVI)in Bismuth-Corlette typeⅣhilar cholangiocarcinoma(HC)patients. METHODS A retrospective analysis was performed on 142consecutively recruited typeⅣHC patients undergoing radical resection with at least 5 years of followup.Survival analysis was performed by the KaplanMeier method,and the association between the clinicopathologic variables and survival was evaluated by log-rank test.Multivariate analysis was adopted to identify the independent prognostic factors for overall survival(OS)and disease-free survival(DFS).Multiple logistic regression analysis was performed to determine the association between LVI and potential variables. RESULTS LVI was confirmed histopathologically in 29(20.4%)patients.Multivariate analysis showed that positive resection margin(HR=6.255,95%CI:3.485-11.229,P<0.001),N1 stage(HR=2.902,95%CI:1.132-7.439,P=0.027),tumor size>30 mm(HR=1.942,95%CI:1.176-3.209,P=0.010)and LVI positivity(HR=2.799,95%CI:1.588-4.935,P<0.001)were adverse prognostic factors for DFS.The independent risk factors for OS were positive resection margin(HR=6.776,95%CI:3.988-11.479,P<0.001),N1 stage(HR=2.827,95%CI:1.243-6.429,P=0.013),tumor size>30 mm(HR=1.739,95%CI:1.101-2.745,P=0.018)and LVI positivity(HR=2.908,95%CI:1.712-4.938,P<0.001).LVI was associated with N1 stage and tumor size>30 mm.Multiple logistic regression analysis indicated that N1 stage(HR=3.312,95%CI:1.338-8.198,P=0.026)and tumor size>30 mm(HR=3.258,95%CI:1.288-8.236,P=0.013)were associated with LVI. CONCLUSION LVI is associated with N1 stage and tumor size>30mm and adversely influences DFS and OS in typeⅣHC patients.
文摘AIM: To investigate the meaning of lymphovascular invasion (LVI) in rectal cancer after neoadjuvant radiotherapy. METHODS: A total of 325 patients who underwent radical resection using total mesorectal excision (TME) from January 2000 to January 2005 in Beijing cancer hospital were included retrospectively, divided into a preoperative radiotherapy (PRT) group and a control group, according to whether or not they underwent preoperative radiation. Histological assessments of tumor specimens were made and the correlation of LVI and prognosis were evaluated by univariate and multivariate analysis. RESULTS: The occurrence of LVI in the PRT and control groups was 21.4% and 26.1% respectively. In the control group, LVI was signifi cantly associated with histological differentiation and pathologic TNM stage, whereas these associations were not observed in the PRT group. LVI was closely correlated to disease progression and 5-year overall survival (OS) in both groups. Among the patients with disease progression, LVI positive patients in the PRT group had a signifi cantly longer median disease-free period (22.5 mo vs 11.5 mo, P = 0.023) and overall survival time (42.5 mo vs 26.5 mo, P = 0.035) compared to those in the control group, despite the fact that no signifi cant difference in 5-year OS rate was observed (54.4% vs 48.3%, P = 0.137). Multivariate analysis showed the distance of tumor from the anal verge, pretreatment serum carcinoembryonic antigen level, pathologic TNM stage and LVI were the major factors affecting OS. CONCLUSION: Neoadjuvant radiotherapy does not reduce LVI significantly; however, the prognostic meaning of LVI has changed. Patients with LVI may benefi t from neoadjuvant radiotherapy.
文摘目的探讨子宫低级别子宫内膜样癌患者淋巴脉管间隙浸润(lymphovascular space invasion,LVSI)的影响因素。方法回顾性分析2015年1月~2023年5月167例手术病理诊断低级别(G1、G2)子宫内膜样癌患者的临床资料。选择年龄、是否绝经、异常阴道出血时间、合并代谢综合征、CA125升高(≥35 U/ml)、子宫内膜厚度、宫腔占位、合并子宫腺肌症、国际妇产科联盟(International Federation of Gynecology and Obstetrics,FIGO)2009分期9项指标进行单因素分析,对P<0.05的因素进行二元logistic回归分析。结果167例子宫低级别子宫内膜样癌患者中,LVSI 24例(14.4%)。对单因素分析中P<0.05的4项因素(异常阴道出血时间≥4个月、CA125升高、合并子宫腺肌症、分期Ⅱ期及以上)进行二元logistic回归分析,结果显示分期Ⅱ期及以上(OR=7.357,95%CI:2.140~25.288,P=0.002),CA125升高(OR=4.883,95%CI:1.612~14.794,P=0.005)为子宫低级别子宫内膜样癌LVSI的独立预后因素。结论FIGO 2009分期Ⅱ期及以上、CA125≥35 U/ml与子宫低级别子宫内膜样癌患者LVSI有关,间接提示淋巴结转移风险,术前应高度关注,以便制定更为精准的手术方案。
文摘目的探讨酰胺质子转移加权成像(amide proton transfer weighted imaging,APTw)的影像组学术前预测宫颈癌淋巴血管间隙侵犯(lymphovascular space invasion,LVSI)的价值。材料与方法回顾性分析经手术病理证实的宫颈癌患者病例及影像资料66例。所有患者均行盆腔3.0 T MRI检查,包括轴位T2WI、矢状位T2WI、动态对比增强磁共振成像(dynamic contrast enhanced magnetic resonance imaging,DCE-MRI)和3D-APTw序列扫描。在APTw-T2WI融合图像上对肿瘤实质区域进行感兴趣区(region of interest,ROI)勾画并记录APT值。在APT重建图像上进行肿瘤病灶分割并提取影像组学特征。采用组内相关系数(intra-class correlation coefficient,ICC)选取观察者内和观察者间复测信度好的影像组学特征(ICC>0.900)。采用递归特征消除法(recursive feature elimination,RFE)及最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)算法进行特征降维和筛选。基于logistic回归分类器构建临床模型、APTw影像组学模型和联合组学模型。采用受试者工作特征(receiver operating characteristic,ROC)曲线和决策曲线分析(decision curve analysis,DCA)评估模型的诊断效能和临床价值,采用DeLong检验比较不同模型的预测效能。结果在训练集中,APTw影像组学模型预测宫颈癌LVSI的效能高于临床模型(AUC=0.826 vs.0.675),差异有统计学意义(DeLong检验P<0.05)。联合组学模型在训练集和测试集中的AUC值分别为0.838和0.825。DeLong检验结果显示,联合组学模型在训练集中术前评估LVSI的效能显著高于临床模型和APTw影像组学模型(P均<0.05)。决策曲线显示APTw影像组学模型和联合组学模型在训练集和测试集中均具有较高的临床价值。结论基于APTw的影像组学模型在术前预测宫颈癌LVSI方面具有较高的潜力,联合临床因素能进一步提高预测效能,有望为宫颈癌患者的个体化治疗和预后评估提供重要的支持。
