Unknown

Dataset Information

Development and validation of an <sup>18</sup>F-FDG PET/CT radiomic nomogram for predicting axillary lymph-node status after neoadjuvant chemotherapy for breast cancer: a multicenter study.


ABSTRACT:

Rationale and objective

To develop and validate the predictive value of 18F-FDG PET/CT radiomics models based on data preprocessing methods for axillary lymph-node (ALN) status after neoadjuvant chemotherapy (NAC) for breast cancer.

Materials and methods

According to the status of ALN after NAC, we divided the breast cancer patients of the three scanners into the pathological complete remission (pCR) and non-pCR groups, respectively. Totally 630 models were obtained based on various data preprocessing, feature filtering, and modeling approaches. On the one hand, different data preprocessing methods were compared to analyze the advantages of different preprocessing methods. On the other hand, the AUC of predicting ALN status was compared among all models, and the m

SUBMITTER: Li Y 

PROVIDER: S-EPMC12602578 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature