A TCP-based early regression index predicts the pathological response in neo-adjuvant radio-chemotherapy of rectal cancer.

Fiorino, Claudio; Gumina, Calogero; Passoni, Paolo; Palmisano, Anna; Broggi, Sara; Cattaneo, Giovanni M; Di Chiara, Alessandra; Esposito, Antonio et al. · Radiother Oncol · 2018

prospective_cohort · Level II

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Abstract

Introducing a radiobiological index based on early tumor regression during neo-adjuvant radio-chemotherapy (RCT, including oxaliplatin) of rectal adenocarcinoma and testing its discriminative power in predicting the tumor response. Seventy-four patients were treated with Helical Tomotherapy following an adaptive (ART) protocol (41.4 Gy/18 fr, 2.3 Gy/fr) delivering a simultaneous integrated boost on the residual tumor in the last 6 fractions up to 45.6 Gy. T2-weighted MRI were taken before (MRI<sub>pre</sub>) and at mid (MRI<sub>mid</sub>) therapy and the corresponding tumor volumes were considered (V<sub>pre</sub>,V<sub>mid</sub>). The "Early Regression Index" [Formula: see text] was introduced and its discriminative power was assessed in terms of AUC, sensitivity/specificity, positive/negative predictive value (PPV/NPV). Two end-points were considered: (a) pathological complete response (pCR) or clinical complete response followed by watch-and-wait, (cCR); (b) limited response (residual vital cells (RVC) in the surgical specimen >10%). Complete data were available for 65 patients: pCR, cCR and RVC >10% were 20, 2 and 19 respectively. The discriminative power of ERI<sub>TCP</sub> was moderately high (AUC = 0.81/0.75 for /pCRorcCR/RVC >10% respectively, p < 0.0005). ERI<sub>TCP</sub> was highly sensitive (86-89%) with very high NPV (90-94%). The discriminative power of ERI<sub>TCP</sub> was confirmed on a subgroup of 44/65 patients when considering tumor volumes delineated by a skilled radiologist. A radiobiologically consistent index based on early regression showed high performances in predicting the pathological response after neo-adjuvant RCT for rectal cancer with relevant potentialities for ART/treatment customization.

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