scholarly journals Nomograms Combining Ultrasonic Features With Clinical and Pathological Features for Estimation of Delphian Lymph Node Metastasis Risk in Papillary Thyroid Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Qi Qi ◽  
Pan Xu ◽  
Cheng Zhang ◽  
Suping Guo ◽  
Xingzhi Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Clinical Pathology ◽  
Diagnostic Model ◽  
Pathological Features ◽  
Node Metastasis ◽  
Significant Difference ◽  
Independent Risk Factors

BackgroundThis work explores the clinical significance of Delphian lymph nodes (DLN) in thyroid papillary carcinoma (PTC). At the same time, a nomogram is constructed based on clinical, pathological, and ultrasonic (US) features to evaluate the possibility of DLN metastasis (DLNM) in PTC patients. This is the first study to predict DLNM using US characteristics.MethodsA total of 485 patients, surgically diagnosed with PTC between February 2017 and June 2021, all of whom underwent thyroidectomy, were included in the study. Using the clinical, pathological, and US information of patients, the related factors of DLNM were retrospectively analyzed. The risk factors associated with DLNM were identified through univariate and multivariate analyses. According to clinical + pathology, clinical + US, and clinical + US + pathology, the predictive nomogram for DLNM was established and validated.ResultsOf the 485 patients with DLN, 98 (20.2%) exhibited DLNM. The DLNM positive group had higher positive rates of central lymph node metastasis (CLNM), lateral lymph node metastasis (LLNM), and T3b–T4b thyroid tumors than the negative rates. The number of CLNM and LLNM lymph nodes in the DLNM+ group was higher as compared to that in the DLNM- group. Multivariate analysis demonstrated that the common independent risk factors of the three prediction models were male, bilaterality, and located in the isthmus. Age ≥45 years, located in the lower pole, and nodural goiter were protective factors. In addition, the independent risk factors were classified as follows: (I) P-extrathyroidal extension (ETE) and CLNM based on clinical + pathological characteristics; (II) US-ETE and US-CLNM based on clinical + US characteristics; and (III) US-ETE and CLNM based on clinical +US + pathological features. Better diagnostic efficacy was reported with clinical + pathology + US diagnostic model than that of clinical + pathology diagnostic model (AUC 0.872 vs. 0.821, p = 0.039). However, there was no significant difference between clinical + pathology + US diagnostic model and clinical + US diagnostic model (AUC 0.872 vs. 0.821, p = 0.724).ConclusionsThis study found that DLNM may be a sign that PTC is more invasive and has extensive lymph node metastasis. By exploring the clinical, pathology, and US characteristics of PTC progression to DLNM, three prediction nomograms, established according to different combinations of features, can be used in different situations to evaluate the transfer risk of DLN.

A practical nomogram predicting the prognosis of hepatocellular carcinoma patients with lymph node metastasis: A population-based analysis

2020 ◽  
Author(s):  
Kai Zhang ◽  
Changcheng Tao ◽  
Jianxiong Wu ◽  
Weiqi Rong
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Cox Regression ◽  
Lymph Nodes Metastasis ◽  
Node Metastasis ◽  
Independent Risk Factors

Abstract Background: Lymph node (LN) metastasis is associated with poor survival outcomes in patients with hepatocellular carcinoma (HCC) patients and because of the reported low probability of lymph node metastasis, research into the Anchorprognoses of such patients is difficult to conduct. In this study, we aimed to develop a nomogram model to predict the prognosis of HCC patients with lymph node metastasis. Methods: HCC patients diagnosed with LN metastasis from 2010 to 2015 were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate Cox regression and lasso regression were used to screen prognostic factors. Cox multiple-factor analysis was used to investigate the independent risk factors for survival. We developed a prognostic nomograms using these independent risk factors. The predictive performance of our nomogram model was evaluated according to the concordance index (C-index) and calibration curve. The net clinical benefit was assessed via decision curve analysis (DCA). Patients were divided into different risk groups according to the model. A survival curve was drawn using the Kaplan-Meier method and the difference was compared by the log-rank test. Results: There were 944 patients in the training cohort and 402 patients in the validation cohort. Grade, T stage, surgery to the liver, chemotherapy, radiation recode, AFP, fibrosis score, tumor size group, M stage were selected as independent prognostic factors, and we developed nomograms using these variables. The calibration curves for probability of survival showed good agreement between the prediction by our model and actual observation in both the training and validation groups. DCA indicated that the nomogram had positive net benefits. Conclusions: The nomogram can accurately predict the prognosis of HCC patients with lymph nodes metastasis and provide a reasonable basis for treatment. Keywords: Hepatocellular carcinoma, prognosis, lymph nodes metastasis, prediction model, nomogram

scholarly journals Development and Validation a Nomogram for Predicting the Third Station Lymph Node Metastasis in Early Gastric Cancer

2021 ◽  
Author(s):  
Xiaoxiao Wang ◽  
Cong Li ◽  
Mengjie Fang ◽  
Liwen Zhang ◽  
Lianzhen Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Validation Cohort ◽  
Predictive Accuracy ◽  
Clinical Risk Factors ◽  
Node Metastasis ◽  
Clinical Risk

Abstract Background:This study aimed to evaluate the value of radiomic nomogram in predicting lymph node metastasis in T1-2 gastric cancer according to the No. 3 station lymph nodes.Methods:A total of 159 T1-2 gastric cancer (GC) patients who had undergone surgery with lymphadenectomy between March 2012 and November 2017 were retrospectively collected and divided into a primary cohort (n = 80) and a validation cohort (n = 79). Radiomic features were extracted from both tumor region and No. 3 station lymph nodes (LN) based on computed tomography (CT) images per patient. Then, key features were selected using minimum redundancy maximum relevance algorithm and fed into two radiomic signatures, respectively. Meanwhile, the predictive performance of clinical risk factors was studied. Finally, a nomogram was built by merging radiomic signatures and clinical risk factors and evaluated by the area under the receiver operator characteristic curve (AUC) as well as decision curve.Results: Two radiomic signatures, reflecting phenotypes of the tumor and LN respectively, were significantly associated with LN metastasis. A nomogram incorporating two radiomic signatures and CT-reported LN metastasis status showed good discrimination of LN metastasis in both the primary cohort (AUC: 0.915; 95% confidence interval [CI]: 0.832-0.998) and validation cohort (AUC: 0.908; 95%CI: 0.814-1.000). The decision curve also indicated its potential clinical usefulness.Conclusions:The nomogram received favorable predictive accuracy in predicting No.3 station LN metastasis in T1-2 GC, and could assist the choice of therapy.

Comparative study of preoperative prediction scores for lymph node metastasis in gastric and colon cancer patients

2020 ◽  
Author(s):  
Xiangjian Zheng ◽  
Xiaodong Chen ◽  
Min Li ◽  
Chunmeng Li ◽  
Xian Shen
Keyword(s):  
Risk Factors ◽  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Serum Markers ◽  
Tumor Characteristics ◽  
Node Metastasis ◽  
Preoperative Prediction ◽  
Independent Risk Factors

Abstract Background: Surgery combined with chemo-radiotherapy is a recognized model for the treatment of gastric and colon cancers. Lymph node metastasis determines the patient's surgical or comprehensive treatment plan. This analytical study aims to compare preoperative prediction scores to better predict lymph node metastasis in gastric and colon cancer patients.Methods: This study comprised 768 patients, which included 312 patients with gastric cancer and 462 with colon cancer. Preoperative clinical tumor characteristics, serum markers, and immune indices were evaluated using single-factor analysis. Logistic analysis was designed to recognize independent predictors of lymph node metastasis in these patients. The independent risk factors were integrated into preoperative prediction scores, which were accurately assessed using receiver operating characteristic (ROC) curves.Results: Results showed that serum markers (CA125, hemoglobin, albumin), immune indices (S100, CD31, d2–40), and tumor characteristics (pathological type, size) were independent risk factors for lymph node metastasis in patients with gastric and colon cancer. The preoperative prediction scores reliably predicted lymph node metastasis in gastric and colon cancer patients with a higher area under the ROC curve (0.901). The area was 0.923 and 0.870 in gastric cancer and colon cancer, respectively. Based on the ROC curve, the ideal cutoff value of preoperative prediction scores to predict lymph node metastasis was established to be 287. Conclusion: The preoperative prediction scores is a useful indicator that can be applied to predict lymph node metastasis in gastric and colon cancer patients.

Identification of risk factors associated with pelvic lymph node metastasis in patients with stage IB1 cervical cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e18005-e18005
Author(s):  
Ping Jiang ◽  
Jing Cai ◽  
Xiaoqi He ◽  
Hongbo Wang ◽  
Weihong Dong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Tumor Size ◽  
Node Metastasis ◽  
Parametrial Invasion ◽  
Pelvic Lymph Node Metastasis ◽  
Internal Iliac

e18005 Background: Evaluation the distribution of nodal metastases in the stage IB1 cervical cancer and the risk factors associated with pelvic lymph node metastasis (LNM) at each anatomic location. Methods: 728 patients with stage IB1 cervical cancer who underwent radical hysterectomies and systemic pelvic lymphadenectomies from January 2008 to December 2017 were retrospectively studied. All removed pelvic lymph nodes were pathologically examined, and the risk factors for LNM at the obturator, internal iliac, external iliac, and common iliac regions were evaluated by univariate and multivariate logistic regression analyses. Results: 20,134 lymph nodes were analysed with the average number of 27.80 (± SD 9.43) lymph nodes per patient. Nodal metastases were present in 266 (14.6%) patients. The obturator was the most common site for nodal metastasis (42.5%) followed by the internal iliac nodes (20.3%) and the external iliac nodes (19.9%), while the common iliac (9.8%) and parametrial (7.5%) nodes were the least likely to be involved. Tumor size more than 2 cm, histologically proven lymphovascular space involvement (LVSI) and parametrial invasion correlated independently significantly with the higher risk of the lymphatic metastasis. Obesity (BMI≥25) was independently significantly negatively correlated with the risk of lymphatic metastases. All the positive common iliac nodes were found in patients with tumors greater than 2 cm. The multivariate analysis showed that tumor size greater than 3 cm was associated with a 16.6-fold increase in the risk for common iliac LNM. Interestingly, tumor size was not an independent risk factor for pelvic LNM in the lower regions, i.e., the obturator, internal iliac and external iliac areas, where LVSI was the most significant predictor for LNM. In addition, parametrial invasion was related to external and internal iliac LNM; deep stromal invasion and age less than 50 years were associated with obturator LNM. Conclusions: The incidence of lymph node metastasis in patients with stage IB1 cervical cancer is low but prognostically relevant. The data offer the opportunity for tailored individual treatment in selected patients with small tumors and obesity.

scholarly journals Nomograms for Predicting the Lymph Node Metastasis in Early Gastric Cancer by Gender: A Retrospective Multicentric Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Wannian Sui ◽  
Zhangming Chen ◽  
Chuanhong Li ◽  
Peifeng Chen ◽  
Kai Song ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Depth Of Invasion ◽  
Male And Female ◽  
Node Metastasis ◽  
Independent Risk Factors ◽  
Medical University ◽  
Training Sets

BackgroundLymph node metastasis (LNM) has a significant impact on the prognosis of patients with early gastric cancer (EGC). Our aim was to identify the independent risk factors for LNM and construct nomograms for male and female EGC patients, respectively.MethodsClinicopathological data of 1,742 EGC patients who underwent radical gastrectomy and lymphadenectomy in the First Affiliated Hospital, Second Affiliated Hospital, and Fourth Affiliated Hospital of Anhui Medical University between November 2011 and April 2021 were collected and analyzed retrospectively. Male and female patients from the First Affiliated Hospital of Anhui Medical University were assigned to training sets and then from the Second and Fourth Affiliated Hospitals of Anhui Medical University were enrolled in validation sets. Based on independent risk factors for LNM in male and female EGC patients from the training sets, the nomograms were established respectively, which was also verified by internal validation from the training sets and external validation from the validation sets.ResultsTumor size (odd ratio (OR): 1.386, p = 0.030), depth of invasion (OR: 0.306, p = 0.001), Lauren type (OR: 2.816, p = 0.000), lymphovascular invasion (LVI) (OR: 0.160, p = 0.000), and menopause (OR: 0.296, p = 0.009) were independent risk factors for female EGC patients. For male EGC patients, tumor size (OR: 1.298, p = 0.007), depth of invasion (OR: 0.257, p = 0.000), tumor location (OR: 0.659, p = 0.002), WHO type (OR: 1.419, p = 0.001), Lauren type (OR: 3.099, p = 0.000), and LVI (OR: 0.131, p = 0.000) were independent risk factors. Moreover, nomograms were established to predict the risk of LNM for female and male EGC patients, respectively. The area under the ROC curve of nomograms for female and male training sets were 87.7% (95% confidence interval (CI): 0.8397–0.914) and 94.8% (95% CI: 0.9273–0.9695), respectively. For the validation set, they were 92.4% (95% CI: 0.7979–1) and 93.4% (95% CI: 0.8928–0.9755), respectively. Additionally, the calibration curves showed good agreements between the bias-corrected prediction and the ideal reference line for both training sets and validation sets in female and male EGC patients.ConclusionsNomograms based on risk factors for LNM in male and female EGC patients may provide new insights into the selection of appropriate treatment methods.

scholarly journals Comparative Study of Preoperative Scores to Predict Lymph Node Metastasis in Patients With Gastric and Colon Cancers: A Case Control Study

2020 ◽  
Author(s):  
Xiangjian Zheng ◽  
Xiaodong Chen ◽  
Min Li ◽  
Chunmeng Li ◽  
Xian Shen
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Roc Curve ◽  
Serum Markers ◽  
Tumor Characteristics ◽  
Immune Markers ◽  
Node Metastasis ◽  
Colon Cancers ◽  
Independent Risk Factors

Abstract Background:Surgery combined with chemo-radiotherapy is a recognized model for the treatment of gastric and colon cancers. Lymph node metastasis determines the patient's surgical or comprehensive treatment plan.The purpose of this study was to compare preoperative scores to better predict lymph node metastasis in patients with gastric and colon cancers.Methods:A total of 768 patients with gastric cancer (312) and colon cancer (462) were enrolled in our study. Preoperative serum markers, immune markers, and clinical tumor characteristics were evaluated by single-factor analysis. Logistic analysis was used to identify independent predictors of lymph node metastasis in patients with gastric and colon cancers. These independent risk factors were integrated into preoperative scores, which was evaluated by receiver operating characteristic (ROC) curves.Results:The result showed that serum markers (CA125, hemoglobin, albumin), immune markers (S100, CD31, d2–40), and tumor characteristics (pathological type, tumor size) were independent risk factors for lymph node metastasis in patients with gastric and colon cancers. The preoperative scores reliably predicted lymph node metastasis in patients with gastric and colon cancers with a higher area under the ROC curve (0.901). Compared to the other independent risk factors, the area under the ROC curve of this indicator was 0.923 and 0.870, for gastric and colon cancers, respectively. Based on the ROC curve, the ideal cutoff value of preoperative scores to predict lymph node metastasis was established to be 287. Conclusion: The preoperative scores is a useful indicator that could be used to predict lymph node metastasis in patients with gastric and colon cancers.

scholarly journals Impact of retrieved lymph nodes count on short-term complications in patients with gastric cancer: a retrospective study

2020 ◽  
Author(s):  
Feng Sun ◽  
Song Liu ◽  
Peng Song ◽  
Chen Zhang ◽  
Zhijian Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Postoperative Complications ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Operation Time ◽  
Short Term ◽  
Node Metastasis ◽  
Significant Difference ◽  
Univariate Analyses

Abstract Background: It is well established that retrieved lymph nodes (RLNs) count were positively correlated with better overall survival in gastric cancer (GC). But little is known about the relationship between RLNs count and short-term complications after radical surgery. Methods: A total of 1487 consecutive GC patients between January 2016 and December 2018 at Nanjing Drum Tower Hospital were retrospectively analyzed. Univariate analyses were performed to elucidate the association between RLNs count and postoperative complications. We further identified clinical factors that might affect the RLNs count.Results: Among all of the patients, postoperative complications occurred in 435 (29.3%) patients. The mean RLNs count was 25.1 and 864 (58.1%) patients were diagnosed with lymph node metastasis. Univariate analyses showed no significant difference between RLNs count and postoperative complications (both overall and stratified by CDC grade). We further explored that preoperative serum albumin, type of resection, operation time, tumor invasion, lymph node metastasis, and pTNM stage were associated with RLNs count. Conclusions: The current study demonstrated that RLNs count was not associated with postoperative short-term complications following gastrectomy of GC, which provided a rationale for the determination of a proper RLNs count of curative gastrectomy.

scholarly journals Impact of Retrieved Lymph Nodes Count on Short-Term Complications in Patients with Gastric Cancer

2020 ◽  
Author(s):  
Feng Sun ◽  
Song Liu ◽  
Peng Song ◽  
Chen Zhang ◽  
Zhijian Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Postoperative Complications ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Operation Time ◽  
Short Term ◽  
Node Metastasis ◽  
Significant Difference ◽  
Univariate Analyses

Abstract Background: It is well established that retrieved lymph nodes (RLNs) count were positively correlated with better overall survival in gastric cancer (GC). But little is known about the relationship between RLNs count and short-term complications after radical surgery. Methods: A total of 1487 consecutive GC patients between January 2016 and December 2018 at Nanjing Drum Tower Hospital were retrospectively analyzed. Univariate analyses were performed to elucidate the association between RLNs count and postoperative complications. We further identified clinical factors that might affect the RLNs count.Results: Among all of the patients, postoperative complications occurred in 435 (29.3%) patients. The mean RLNs count was 25.1 and 864 (58.1%) patients were diagnosed with lymph node metastasis. Univariate analyses showed no significant difference between RLNs count and postoperative complications (both overall and stratified by CDC grade). We further explored that preoperative serum albumin, type of resection, operation time, tumor invasion, lymph node metastasis, and pTNM stage were associated with RLNs count. Conclusions: The current study demonstrated that RLNs count was not associated with postoperative short-term complications following gastrectomy of GC, which provided a rationale for the determination of a proper RLNs count of curative gastrectomy.

Clinical Usefulness of Telomerase Assay for the Detection of Lymph Node Metastasis in Patients With Oral Malignancy

2000 ◽  
Vol 124 (3) ◽  
pp. 398-400
Author(s):  
Tomoki Sumida ◽  
Hiroyuki Hamakawa ◽  
Hiroaki Kayahara ◽  
Hirofumi Zen ◽  
Kenichi Sogawa ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Cancer ◽  
Lymph Nodes ◽  
Cancer Cell Line ◽  
Telomerase Activity ◽  
Cervical Lymph Nodes ◽  
Node Metastasis ◽  
Significant Difference ◽  
Oral Malignancy

Abstract Objective.—Telomerase is considered a diagnostic marker of malignancy. We investigated the usefulness of telomerase assay for the detection of lymph node micrometastasis. Methods.—Sixteen cervical lymph nodes with metastasis of oral cancer and 20 benign lymph nodes were studied. The oral cancer cell line was used to estimate the sensitivity for telomerase assay. Telomerase activity was measured by semiquantitative telomeric repeat amplification protocol. Results.—There was a significant difference between malignant and benign lymph nodes. The telomerase activity of 50 mg of lymph nodes with 103 or more cancer cells differed from that of control lymph nodes. Lymph nodes with 102 or fewer tumor cells expressed similar levels as benign lymph nodes. Conclusions.—In addition to routine histologic examination, telomerase assay is considered a useful tool for the detection of lymph node metastasis in patients with oral malignancy.

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