Open Access Open Access  Restricted Access Subscription or Fee Access

A Predictive Model Approach to Distinguish between the Benign and Malignant cases in Breast Cancer

Shivani Bali, Amarnath Jena, S.B. Mehta, D.K. Banwet


The objective of the study is to develop a logistic regression model to distinguish between malignant and benign breast tumors. The model helps in assigning a probability of malignancy for any patient based on several variables. One hundred and fifty seven cases were used for data analysis. 102 patients (65%) had malignant tumors and 55 (35%) had benign tumors. For the analysis the variables included are patient’s (1) age, (2) size of tumor, three pharmacokinetic parameters i.e. (3) Ktrans, (4) Ve, (5) Kep, and (6) diffusion imaging parameter ADC and (7) maximum intensity time ratio (MITR). These seven independent variables and the final histological diagnosis for each patient (the dependent variable) were used for model building. The logistic regression model developed in this paper would help in giving the probability of malignancy of any patient based on the significant variables. By using ROC analysis the study also shows that the accuracy of this model appears to be better than using variables individually.


DCE-MRI, Logistic regression, probability, malignancy, ROC

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.