Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Lower GI
6012
Poster (digital)
Clinical
Fractal-based radiomic approach to tailor the chemotherapy treatment in rectal cancer
Giuditta Chiloiro, Italy
PO-1327

Abstract

Fractal-based radiomic approach to tailor the chemotherapy treatment in rectal cancer
Authors:

Giuditta Chiloiro1, Carmela Di Dio2, Davide Cusumano2, Francesco Catucci2, Luca Boldrini3, Angela Romano3, Elisa Meldolesi3, Fabio Marazzi3, Barbara Corvari3, Brunella Barbaro4, Riccardo Manfredi4, Vincenzo Valentini3, Maria Antonietta Gambacorta3

1Fondazione Policlinico universitario A. Gemelli IRCCS, Radiation Oncology, Rome, Italy; 2Mater Olbia Hospital, Radiation Oncology, Olbia, Italy; 3Fondazione Policlinico universitario A. Gemelli IRCCS, Radiation Oncology, Roma, Italy; 4Fondazione Policlinico universitario A. Gemelli IRCCS, Radiology, Roma, Italy

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Purpose or Objective

Several studies have been conducted to evaluate the efficacy of adding of Oxaliplatin (OXA) to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC), however the benefit remains unclear. Such as the 25% of patients develop metastases within five years after the end of surgery, a strategy to validate the role of nCRT intensification regimens in patients at higher risk of developing metastases should be investigated.

Aim of this study is to create a radiomic model able to calculate the probability of 5-years Disease Free Survival (5yDFS) when OXA is or not administered in patients affected by LARC and nCRT, allowing physicians to choose the best chemotherapy (CT) regimen.

Material and Methods

Patients with cT3-4 cN0 or cT1-4 cN1-2 rectal cancer were treated according to an nCRT protocol that included concomitant CT schedules with or without OXA and radiotherapy dose of 55 Gy in 25 fractions.

Radiomic analysis was performed on the T2-weighted Magnetic Resonance (MR) images acquired during the initial tumor staging. Statistical analysis was performed separately for the cohort of patients treated with and without OXA, respectively. The ability of each single radiomic feature in predicting 5yDFS as a univariate analysis was assessed using the Wilcoxon Mann Whitney (WMW) test or t-test. Two logistic models (one for each cohort) were calculated, and their performance was assessed using the area under the Receiver Operating Characteristic (ROC) curve (AUC).

Results


A total of 176 image features belonging to four families (morphological, statistical, textural and fractal) were calculated for each patient. The clinical characteristics of the patients included in the study are summarised in Table 1.

At univariate analysis the only feature showing significance in predicting 5yDFS was the maximum fractal dimension of the subpopulation identified considering 30% and 50% as threshold levels (maxFD3050).

Once the models were developed using this feature, an AUC of 0.67 (0.57-0.77) and 0.75 (0.56-0.95) was obtained for patients treated with and without OXA, respectively. A maxFD30-50 >1.6 was correlated to an higher 5yDFS probability in patients treated with OXA. Figure 1 summarizes the values obtained in terms of 5yDFS probability when Oxaliplatin is or is not administered to varying of maxFD3050 values, applying the two models developed.

Table1


Figure 1


Conclusion

This study suggests that radiomic analysis of MR T2-w images can be used to define the optimal concomitant CT regimen for LARC cancer patients.

In particular, by providing an indication of the GTV spatial heterogeneity at initial staging, maxFD3050 seems to be able to predict the probability of 5yDFS. New studies including a larger cohort of patients and external validation sets are recommended to verity the results of this generating-hypotheses study.