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Table 5 Feature Vector for Patients Only

From: Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theory

Patient Based Experiments

Patients had from 1 to 6 lesions. Each lesion had the following features: (# denotes lesion number)

#-T_ RECIST 1

Baseline RECIST Size Change – Observer 1

#-C RECIST1

Baseline RECIST Size Change – Observer 2

#-T _WHO1

Baseline WHO Size Change – Observer 1

#-C _WHO1

Baseline WHO Size Change – Observer 2

#-T_ RECIST2

Follow up RECIST Size Change – Observer 1

#-C_RECIST2

Follow up RECIST Size Change – Observer 2

#-T _WHO2

Follow up WHO Size Change – Observer 1

#-C _WHO2

Follow up WHO Size Change – Observer 2

#-T-Target

Visual Tumor Change in Target Lesion – Observer 1

#-C-Target

Visual Tumor Change in Target Lesion – Observer 2

  1. Features that could be used for only patient based experiments. No more than two lesions were selected per patient in any experiment