Exploratory Analysis of 18F-3’-deoxy-3’-fluorothymidine (18F-FLT) PET/CT-Based Radiomics for the Early Evaluation of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer
| Autor: | Silvia Asioli, Andrea Bettinelli, Anna Fedeli, Emiliano Loi, Federica Matteucci, Irene Azzali, Anna Sarnelli, M.L. Belli, Lorenzo Fantini, Giovanni Paganelli, Giacomo Feliciani, E. Mezzenga |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Cancer Research
medicine.medical_specialty Concordance medicine.medical_treatment Locally advanced Standardized uptake value NO 030218 nuclear medicine & medical imaging breast cancer early response fluorothymidine positron emission tomography scan neoadjuvant chemotherapy radiomics 03 medical and health sciences 0302 clinical medicine Breast cancer Radiomics medicine Pathological RC254-282 Chemotherapy PET-CT business.industry Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.disease Oncology 030220 oncology & carcinogenesis Radiology business |
| Zdroj: | Frontiers in Oncology, Vol 11 (2021) |
| ISSN: | 2234-943X |
| Popis: | PurposeThe objective of this study was to evaluate a set of radiomics-based advanced textural features extracted from 18F-FLT-PET/CT images to predict tumor response to neoadjuvant chemotherapy (NCT) in patients with locally advanced breast cancer (BC).Materials and MethodsPatients 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. 18F-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 (SUVmax, SUVpeak, SUVmean), 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.ResultsTwenty 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 SUVmax 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.ConclusionsOur 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|