Standardized Index of Shape (SIS): a quantitative DCE-MRI parameter to discriminate responders by non-responders after neoadjuvant therapy in LARC

Abstract

• DCE-MRI shape descriptors are investigated to assess preoperative CRT response in LARC. • Identification of the best TIC shape descriptors combination through a linear classifier. • Identification of a single MRI index to predict neoadjuvant treatment response.

Standardized Index of Shape (DCE-MRI) and Standardized Uptake Value (PET/CT): Two quantitative approaches to discriminate chemo-radiotherapy locally advanced rectal cancer responders under a functional profile

“…These results are comparable with the findings reported in our previous paper [13] where ΔSIS percentage variation obtained a sensitivity of 93.5% and a specificity of 82.1%. ΔSIS showed a statistically significant difference in median values for responder and non-responder patients based on TRG and pathological T stage.…”

“…The heterogeneity in the neoadjuvant treatment scheme with the majority of study population receiving an experimental schedule of “antiangiogenic” agent plus oxaliplatin in comparison of standard CRT scheme was previously investigated in the our study [13]. The analysis in [13] showed that the treatment schedule did not influence the proportions in responder and non-responder patients.…”

“…The analysis in [13] showed that the treatment schedule did not influence the proportions in responder and non-responder patients.…”

“…In a previous study, we investigated a semi-quantitative analysis with DCE-MRI [14–20], finding the best combination, denominated Standardized Index of Shape (SIS), that identifies the linear classifier of the percentage differences Δ of Maximum Signal Difference (MSD) and of Wash-Out Slope (WOS) [7], with a sensitivity and specificity of 93.5% and 82.1% in discrimination of responder by non responder patients after pCRT [13]. …”

MRI volumetry for prediction of tumour response to neoadjuvant chemotherapy followed by chemoradiotherapy in locally advanced rectal cancer

“…[29][30][31][32] However, the acquisition and evaluation of these additional sequences demand more resources, prolonged scan time and additional time for interpretation. Aiba et al 17 found that the addition of 18 F-FDG PET to MRI volumetry did not improve the performance of NACT response assessment.…”