Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?

Figure 1 Patient selection flow chart. RIS: Radiology information system; ICD-10: International Classification of Diseases and Related Health Problems, 10^th revision; RFA: Radiofrequency ablation; CR: Complete response; PR: Partial response; SD: Stable disease; PD: Progressive disease.

Figure 2 Correlations among radiomic features associated with response. Pearson’s correlation between radiomic features tertiles regarded as pseudo-continuous variables.

Figure 3 Prognostic nomogram of response to chemotherapy for patients. Interpretation is as follows: for each predictor, determine the corresponding points by drawing a straight line up from the patient’s value; sum the points obtained for each predictor and locate the total sum on the upper point line. Identify the corresponding value in the linear predictor scale by drawing a straight line down. Values of linear predictor greater than the threshold (0.42) predict response; values less than the threshold predict no response.

Figure 4 Appearance of typical responding and non-responding liver metastases. A: Responder pre chemotherapy; B: Responder post chemotherapy; C: Responder pre chemotherapy histogram; D: Responder pre chemotherapy; E: Responder post chemotherapy; F: Responder pre chemotherapy histogram; G: Responder pre chemotherapy; H: Responder post chemotherapy; I: Responder pre chemotherapy histogram; J: Non-responder pre chemotherapy with annular carcinoma of transverse colon; K: Non-responder post chemotherapy with metallic stent in the transverse colon; L: Non-responder pre chemotherapy histogram.