On the Significance of Fuzzification of the N and M in Cancer Staging

The tumor, node, metastasis (TNM) staging system has been regarded as one of the most widely used staging systems for solid cancer. The “T” is assigned a value according to the primary tumor size, whereas the “N” and “M” are dependent on the number of regional lymph nodes and the presence of distant...

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Main Authors: Sara A. Yones, Ahmed S. Moussa, Hesham Hassan, Nelly H. Alieldin
Format: Article
Language:English
Published: SAGE Publishing 2014-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S13765
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author Sara A. Yones
Ahmed S. Moussa
Hesham Hassan
Nelly H. Alieldin
author_facet Sara A. Yones
Ahmed S. Moussa
Hesham Hassan
Nelly H. Alieldin
author_sort Sara A. Yones
collection DOAJ
description The tumor, node, metastasis (TNM) staging system has been regarded as one of the most widely used staging systems for solid cancer. The “T” is assigned a value according to the primary tumor size, whereas the “N” and “M” are dependent on the number of regional lymph nodes and the presence of distant metastasis, respectively. The current TNM model classifies stages into five crisp classes. This is unrealistic since the drastic modification in treatment that is based on a change in one class may be based on a slight shift around the class boundary. Moreover, the system considers any tumor that has distant metastasis as stage 4, disregarding the metastatic lesion concentration and size. We had handled the problem of T staging in previous studies using fuzzy logic. In this study, we focus on the fuzzification of N and M staging for more accurate and realistic modeling which may, in turn, lead to better treatment and medical decisions.
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spelling doaj.art-08b4254722804627b4a00c9673ff54e22022-12-21T17:14:19ZengSAGE PublishingCancer Informatics1176-93512014-01-011310.4137/CIN.S13765On the Significance of Fuzzification of the N and M in Cancer StagingSara A. Yones0Ahmed S. Moussa1Hesham Hassan2Nelly H. Alieldin3Computer Science Department, Faculty of Computers and Information, Cairo University, Egypt.Computer Science Department, Faculty of Computers and Information, Cairo University, Egypt.Computer Science Department, Faculty of Computers and Information, Cairo University, Egypt.Department of Statistics, National Cancer Institute, Cairo University, Egypt.The tumor, node, metastasis (TNM) staging system has been regarded as one of the most widely used staging systems for solid cancer. The “T” is assigned a value according to the primary tumor size, whereas the “N” and “M” are dependent on the number of regional lymph nodes and the presence of distant metastasis, respectively. The current TNM model classifies stages into five crisp classes. This is unrealistic since the drastic modification in treatment that is based on a change in one class may be based on a slight shift around the class boundary. Moreover, the system considers any tumor that has distant metastasis as stage 4, disregarding the metastatic lesion concentration and size. We had handled the problem of T staging in previous studies using fuzzy logic. In this study, we focus on the fuzzification of N and M staging for more accurate and realistic modeling which may, in turn, lead to better treatment and medical decisions.https://doi.org/10.4137/CIN.S13765
spellingShingle Sara A. Yones
Ahmed S. Moussa
Hesham Hassan
Nelly H. Alieldin
On the Significance of Fuzzification of the N and M in Cancer Staging
Cancer Informatics
title On the Significance of Fuzzification of the N and M in Cancer Staging
title_full On the Significance of Fuzzification of the N and M in Cancer Staging
title_fullStr On the Significance of Fuzzification of the N and M in Cancer Staging
title_full_unstemmed On the Significance of Fuzzification of the N and M in Cancer Staging
title_short On the Significance of Fuzzification of the N and M in Cancer Staging
title_sort on the significance of fuzzification of the n and m in cancer staging
url https://doi.org/10.4137/CIN.S13765
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