18FDG-PET/CT for predicting the outcome in ER+/HER2- breast cancer patients: comparison of clinicopathological parameters and PET image-derived indices including tumor texture analysis.
David GroheuxAntoine MartineauLuis TeixeiraMarc EspiéPatricia de CremouxPhilippe BertheauPascal MerletCharles LemarignierPublished in: Breast cancer research : BCR (2017)
Baseline PET parameters measured before neoadjuvant treatment have prognostic values in ER+/HER2- locally advanced breast cancer patients. After multivariate analysis, metabolically active tumor volume remains significant while textural analysis of PET images is not of added value. Considering histopathological parameters, our study shows that patients with PR-negative or lobular invasive tumor have poorer prognosis than patients with PR-positive or ductal carcinoma, respectively.
Keyphrases
- locally advanced
- computed tomography
- rectal cancer
- positron emission tomography
- pet ct
- squamous cell carcinoma
- deep learning
- lymph node
- pet imaging
- machine learning
- estrogen receptor
- magnetic resonance
- optical coherence tomography
- clinical trial
- convolutional neural network
- phase ii study
- placebo controlled
- water quality