Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as a predictive and prognostic subrogate

Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as a... Aim To assess the predictive and prognostic value of textural parameters in locally advanced breast cancer (LABC) obtained by F-FDG PET/CT. Methods Prospective study including 68 patients with LABC, neoadjuvant chemotherapy (NC) indication and a baseline F-FDG PET/CT. Breast specimens were grouped into molecular phenotypes and classified as responders or non-responders after completion of NC. Patients underwent standard follow-up to obtain the disease-free survival (DFS) and overall sur- vival (OS). After breast tumor segmentation, three-dimensional (3D) textural measures were computed based on run-length matrices (RLM) and co-occurrence matrices (CM). Relations between textural features with risk categories attending to molecular phenotypes were explored. Kaplan–Meier analysis and univariate and multivariate Cox proportional hazard analysis were used to study the potential of textural variables, molecular phenotypes and histologic response to predict DFS and OS. Receiver operating characteristic (ROC) analysis was used to obtain the best cut-off value, the area under the curve (AUC) and sensitivity and specificity considering OS and DFS. Results Eighteen patients were classified as responders. Mean ± SD of DFS and OS was 70.87 ± 21.85 and 76.77 ± 18.80 months, respectively. Long run emphasis (LRE) and long run high gray-level emphasis (LRHGE) showed a relation with risk categories. Low http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Nuclear Medicine Springer Journals

Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as a predictive and prognostic subrogate

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Publisher
Springer Japan
Copyright
Copyright © 2018 by The Japanese Society of Nuclear Medicine
Subject
Medicine & Public Health; Nuclear Medicine; Imaging / Radiology
ISSN
0914-7187
eISSN
1864-6433
D.O.I.
10.1007/s12149-018-1253-0
Publisher site
See Article on Publisher Site

Abstract

Aim To assess the predictive and prognostic value of textural parameters in locally advanced breast cancer (LABC) obtained by F-FDG PET/CT. Methods Prospective study including 68 patients with LABC, neoadjuvant chemotherapy (NC) indication and a baseline F-FDG PET/CT. Breast specimens were grouped into molecular phenotypes and classified as responders or non-responders after completion of NC. Patients underwent standard follow-up to obtain the disease-free survival (DFS) and overall sur- vival (OS). After breast tumor segmentation, three-dimensional (3D) textural measures were computed based on run-length matrices (RLM) and co-occurrence matrices (CM). Relations between textural features with risk categories attending to molecular phenotypes were explored. Kaplan–Meier analysis and univariate and multivariate Cox proportional hazard analysis were used to study the potential of textural variables, molecular phenotypes and histologic response to predict DFS and OS. Receiver operating characteristic (ROC) analysis was used to obtain the best cut-off value, the area under the curve (AUC) and sensitivity and specificity considering OS and DFS. Results Eighteen patients were classified as responders. Mean ± SD of DFS and OS was 70.87 ± 21.85 and 76.77 ± 18.80 months, respectively. Long run emphasis (LRE) and long run high gray-level emphasis (LRHGE) showed a relation with risk categories. Low

Journal

Annals of Nuclear MedicineSpringer Journals

Published: Jun 5, 2018

References

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