Table 1.
List of clinical and imaging variables used. Reprinted from: Mani S, Chen Y, Li X, Arlinghaus L, Chakravarthy AB, Abramson V, Bhave SR, Levy MA, Xu H, Yankeelov TE. Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. J Am Med Inform Assoc. 2013; 20(4):688-95.
| Clinical Variable | Description | Imaging Variable | Key Term | Description |
|---|---|---|---|---|
| Age | Age at the time of diagnosis | Delta ADC | Delta | t1, t2 difference |
| ER+ | Estrogen receptor | Delta Ktrans FXL | Ktrans | Pharmocokinetic transfer constant |
| PR+ | Progesterone receptor | Delta Ktrans FXLvp | FXL | Fast exchange limit |
| HER2+ | Human epidermal growth factor receptor | Delta Ktrans FXR | FXR | Fast exchange regime |
| Clinical Grade | Pretreatment clinical grade | Delta ve FXL | vp | Blood plasma volume fraction |
| Proliferative rate | Delta ve FXvp | ve | Extravascular extracellular volume fraction | |
| Pre-treatment nodal status | Pathologically confirmed by fine needle aspiration or sentinel node evaluation | Delta ve FXR | ti | Intra cellular water lifetime of wated molecule |
| Clinical-T | Pretreatment clinical size based on clinical findings judged most accurate for that case (physical exam, ultrasound, mammogram, conventional MRI) | Delta vp FXL | ||
| Clinical-N | Pretreatment nodal stage based on pathologically confirmed by fine needle aspiration of node or sentinel evaluation | Delta ti FXR | ||
| Pre-treatment clinical stage | Staging of the breast cancer prior to initiation of systemic chemotherapy | Ktrans, t1 FXL | ||
| Pre-treatment physical exam | Longest diameter by physical exam (CM) | Ktrans, t1 FXLvp | ||
| Pre-treatment longest diameter (ultra sound) | Longest dimension (CM) Clinical judgment is used to determine the modality most accurate for that case (physical exam, ultrasound, mammogram, conventional MRI) | Ktrans, t1 FXR | ||
| Delta tumor volume |