Log Odds of Positive Lymph Nodes in Colon Cancer: A Meaningful Ratio-based Lymph Node Classification System

2012 ◽  
Vol 36 (3) ◽  
pp. 667-674 ◽  
Author(s):  
Roberto Persiani ◽  
Ferdinando C. M. Cananzi ◽  
Alberto Biondi ◽  
Giuseppe Paliani ◽  
Andrea Tufo ◽  
...  
BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ali Riaz Baqar ◽  
Simon Wilkins ◽  
Wei Wang ◽  
Karen Oliva ◽  
Paul McMurrick

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15160-e15160 ◽  
Author(s):  
Nelleke Pietronella Maria Brouwer ◽  
Rutger Carel Hubert Stijns ◽  
Lemmens Valery ◽  
Iris D. Nagtegaal ◽  
Regina GH Beets-Tan ◽  
...  

e15160 Background: Clinical lymph node staging by MRI and CT is important in stratification for neoadjuvant therapy in colorectal cancer. Overstaging may result in unnecessary neoadjuvant therapy, but understaging may refrain patients from adequate preoperative treatment. This study aims to provide insight in current daily practice in clinical lymph node staging in CRC in the Netherlands. Methods: All patients with primary CRC, diagnosed between 2003-2014, who underwent lymph node dissection were selected from the nationwide population-based Netherlands Cancer Registry (n=100,211). Trends in patient- and tumor-characteristics, and lymph node staging were analyzed. For the years 2011-2014, sensitivity, specificity, positive (PPV) and negative predictive value (NPV) were calculated for clinical lymph node staging, with histology as the gold standard. Only patients without preoperative treatment were analyzed. Since prospective studies have shown that 5x5 Gy radiotherapy (RT) followed by total mesorectal excision within 10 days does not lead to nodal downstaging, an additional analysis was performed in this group. Results: The proportion clinically positive lymph nodes increased significantly between 2003-2014; from 7% to 22% for colon cancer and from 7% to 53% for rectal cancer. The proportion histological positive lymph nodes remained fairly stable over time (±35% colon, ±33% rectum). During 2011-2014, clinical lymph node staging was available in the registry in 86% of colon cancer patients, 92% of rectal cancer patients without neoadjuvant treatment and 95% of rectal cancer patients with 5x5 Gy RT. The parameters based on data from this period are presented in table 1. Conclusions: With a sensitivity and PPV of approximately 50%, clinical lymph node staging is about as accurate as flipping a coin. This leads to overtreatment in patients with rectal cancer with neoadjuvant RT. Acceptable specificity and NPV limit the risk of undertreatment. [Table: see text]


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Linzhi Gao ◽  
Jun Lyu ◽  
Xiaoya Luo ◽  
Dong Zhang ◽  
Guifang Jiang ◽  
...  

Abstract Purpose Aims to compare the prognostic performance of the number of positive lymph nodes (PLNN), lymph node ratio (LNR) and log odds of metastatic lymph nodes (LODDS) and establish a prognostic nomogram to predict overall survival (OS) rate for patients with endometrial carcinosarcoma (ECS). Methods Patients were retrospectively obtained from Surveillance, Epidemiology and End Results (SEER) database from 2004 to 2015. The prognostic value of PLNN, LNR and LODDS were assessed. A prediction model for OS was established based on univariate and multivariate analysis of clinical and demographic characteristics of ECS patients. The clinical practical usefulness of the prediction model was valued by decision curve analysis (DCA) through quantifying its net benefits. Results The OS prediction accuracy of LODDS for ECS is better than that of PLNN and LNR. Five factors, age, tumor size, 2009 FIGO, LODDS and peritoneal cytology, were independent prognostic factors of OS. The C-index of the nomogram was 0.743 in the training cohort. The AUCs were 0.740, 0.682 and 0.660 for predicting 1-, 3- and 5-year OS, respectively. The calibration plots and DCA showed good clinical applicability of the nomogram, which is better than 2009 FIGO staging system. These results were verified in the validation cohort. A risk classification system was built that could classify ECS patients into three risk groups. The Kaplan-Meier curves showed that OS in the different groups was accurately differentiated by the risk classification system and performed much better than FIGO 2009. Conclusion Our results indicated that LODDS was an independent prognostic indicator for ECS patients, with better predictive efficiency than PLNN and LNR. A novel prognostic nomogram for predicting the OS rate of ECS patients was established based on the population in the SEER database. Our nomogram based on LODDS has a more accurate and convenient value for predicting the OS of ECS patients than the FIGO staging system alone.


2014 ◽  
Vol 16 (11) ◽  
pp. O386-O392 ◽  
Author(s):  
N. C. Arslan ◽  
S. Sokmen ◽  
A. E. Canda ◽  
C. Terzi ◽  
S. Sarioglu

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