Meeting Banner
Abstract #2387

Statistical prediction of recurrence-free survival at 10 years in breast cancer patients

Isha Punn1, Renee Cattell1, Pauline Huang1, James Kang1, Thomas Ren1, Varsha Talanki1, Ashima Muttreja1, Sarah Dacosta1, Jules Cohen1, Haifang Li1, Lea Baer1, Cliff Bernstein1, Sean Clouston1, Roxanne Palermo1, and Timothy Duong1

1Stony Brook University, Stony Brook, NY, United States

This study examined whether axillary lymph-node size accurately predicts or improves prediction of 10-year recurrence-free survival. We found that for single-variable analysis, the top predictor of recurrence-free survival was pre-neoadjuvant chemotherapy (NAC) nodal volume (AUC=0.67), followed by pre-NAC tumor volume (AUC=0.66). In 4-variable analysis, the top set of predictors was pre-NAC nodal volume, human epidermal growth factor receptor 2 (HER2) positivity, pre-NAC tumor volume, and tumor volume difference between pre- and early-NAC time points (AUC=0.79). This is the first study of investigating prediction performance of recurrence-free survival using longitudinal volume change of axillary lymph-node volume in breast cancer patients.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords