Follow-up of multicentric HCC according to the mRECIST criteria: role of 320-Row CT with semi-automatic 3D analysis software for evaluating the response to systemic therapy
Telegrafo M., Dilorenzo G., Di Giovanni G., Cornacchia I., Stabile Ianora A.A., Cornacchia I., Stabile Ianora A.A., Angelelli G., Moschetta M.
Aim. To evaluate the role of 320-detector row computed tomography (MDCT) with 3D analysis software in follow up of patients affected by multicentric hepatocellular carcinoma (HCC) treated with systemic therapy by using modified response evaluation criteria in solid tumors (mRECIST).
Patients and methods. 38 patients affected by multicentric HCC underwent MDCT. All exams were performed before and after iodinate contrast material intravenous injection by using a 320-detection row CT device. CT images were analyzed by two radiologists using multi-planar reconstructions (MPR) in order to assess the response to systemic therapy according to mRECIST criteria: complete response (CR), partial response (PR), progressive disease (PD), stable disease (SD). 30 days later, the same two radiologists evaluated target lesion response to systemic therapy according to mRECIST criteria by using 3D analysis software. The difference between the two systems in assessing HCC response to therapy was assessed by the analysis of the variance (Anova Test). Interobserver agreement between the two radiologists by using MPR images and 3D analysis software was calculated by using Cohen’s Kappa test.
Results. PR occurred in 10/38 cases (26%), PD in 6/38 (16%), SD in 22/38 (58%). Anova Test showed no statistically significant difference between the two systems for assessing target lesion response to therapy (p >0.05). Inter-observer agreement (k) was respectively of 0.62 for MPR images measurements and 0.86 for 3D analysis ones.
Conclusions. 3D Analysis software provides a semiautomatic system for assessing target lesion response to therapy according to mRECIST criteria in patient affected by multifocal HCC treated with systemic therapy. The reliability of 3D analysis software makes it useful in the clinical practice.
