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Exploratory Analysis of 18 F-3'-deoxy-3'-fluorothymidine ( 18 F-FLT) PET/CT-Based Radiomics for the Early Evaluation of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer.

Authors :
Fantini L
Belli ML
Azzali I
Loi E
Bettinelli A
Feliciani G
Mezzenga E
Fedeli A
Asioli S
Paganelli G
Sarnelli A
Matteucci F
Source :
Frontiers in oncology [Front Oncol] 2021 Jun 24; Vol. 11, pp. 601053. Date of Electronic Publication: 2021 Jun 24 (Print Publication: 2021).
Publication Year :
2021

Abstract

Purpose: The objective of this study was to evaluate a set of radiomics-based advanced textural features extracted from <superscript>18</superscript> F-FLT-PET/CT images to predict tumor response to neoadjuvant chemotherapy (NCT) in patients with locally advanced breast cancer (BC).<br />Materials and Methods: Patients with operable (T2-T3, N0-N2, M0) or locally advanced (T4, N0-N2, M0) BC were enrolled. All patients underwent chemotherapy (six cycles every 3 weeks). Surgery was performed within 4 weeks of the end of NCT. The MD Anderson Residual Cancer Burden calculator was used to evaluate the pathological response. <superscript>18</superscript> F-FLT-PET/CT was performed 2 weeks before the start of NCT and approximately 3 weeks after the first cycle. The evaluation of PET response was based on EORTC criteria. Standard uptake value (SUV) statistics (SUV <subscript>max</subscript> , SUV <subscript>peak</subscript> , SUV <subscript>mean</subscript> ), together with 148 textural features, were extracted from each lesion. Indices that are robust against contour variability (ICC test) were used as independent variables to logistically model tumor response. LASSO analysis was used for variable selection.<br />Results: Twenty patients were included in the study. Lesions from 15 patients were evaluable and analyzed: 9 with pathological complete response (pCR) and 6 with pathological partial response (pPR). Concordance between PET response and histological examination was found in 13/15 patients. LASSO logistic modelling identified a combination of SUV <subscript>max</subscript> and the textural feature index IVH_VolumeIntFract_90 as the most useful to classify PET response, and a combination of PET response, ID range, and ID_Coefficient of Variation as the most useful to classify pathological response.<br />Conclusions: Our study suggests the potential usefulness of FLT-PET for early monitoring of response to NCT. A model based on PET radiomic characteristics could have good discriminatory capacity of early response before the end of treatment.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Fantini, Belli, Azzali, Loi, Bettinelli, Feliciani, Mezzenga, Fedeli, Asioli, Paganelli, Sarnelli and Matteucci.)

Details

Language :
English
ISSN :
2234-943X
Volume :
11
Database :
MEDLINE
Journal :
Frontiers in oncology
Publication Type :
Academic Journal
Accession number :
34249671
Full Text :
https://doi.org/10.3389/fonc.2021.601053