PET-derived radiomics and artificial intelligence in breast cancer: a systematic review

L Urso, L Manco, A Castello, L Evangelista… - International Journal of …, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …

[HTML][HTML] Application of Artificial Intelligence in Oncologic Molecular PET-Imaging: A Narrative Review on Beyond [18F] F-FDG Tracers Part II.[18F] F-FLT,[18F] F-FET …

R Eisazadeh, M Shahbazi-Akbari… - Seminars in Nuclear …, 2024 - Elsevier
Following the previous part of the narrative review on artificial intelligence (AI) applications
in positron emission tomography (PET) using tracers rather than 18 F-fluorodeoxyglucose …

Radiogenomics, breast cancer diagnosis and characterization: Current status and future directions

F Gallivanone, G Bertoli, D Porro - Methods and Protocols, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous disease, affecting millions of women every year.
Early diagnosis is crucial to increasing survival. The clinical workup of BC diagnosis …

Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review

B Elsayed, A Alksas, M Shehata, A Mahmoud, M Zaky… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is considered as the most common malignancy among
females, and its treatment takes many forms and types. Neoadjuvant chemotherapy (NACT) …

Dual-branch convolutional neural network based on ultrasound imaging in the early prediction of neoadjuvant chemotherapy response in patients with locally …

J Xie, H Shi, C Du, X Song, J Wei, Q Dong… - Frontiers in …, 2022 - frontiersin.org
The early prediction of a patient's response to neoadjuvant chemotherapy (NAC) in breast
cancer treatment is crucial for guiding therapy decisions. We aimed to develop a novel …

Innovations in positron emission tomography and state of the art in the evaluation of breast cancer treatment response

L Castorina, AD Comis, A Prestifilippo… - Journal of Clinical …, 2023 - mdpi.com
The advent of hybrid Positron Emission Tomography/Computed Tomography (PET/CT) and
PET/Magnetic Resonance Imaging (MRI) scanners resulted in an increased clinical …

PET/CT-based radiomics analysis may help to predict neoadjuvant chemotherapy outcomes in breast cancer

L Yang, J Chang, X He, M Peng, Y Zhang, T Wu… - Frontiers in …, 2022 - frontiersin.org
Background The aim of this study was to evaluate the clinical usefulness of radiomics
signature-derived 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography …

Artificial intelligence in breast cancer: A systematic review on PET imaging clinical applications

P Alongi, G Rovera, F Stracuzzi… - Current medical …, 2023 - ingentaconnect.com
Background: 18F-FDG PET/CT imaging represents the most important functional imaging
method in oncology. European Society of Medical Oncology and the National …

Dynomics: A Novel and Promising Approach for Improved Breast Cancer Prognosis Prediction

M Inglese, M Ferrante, T Boccato, A Conti… - Journal of Personalized …, 2023 - mdpi.com
Traditional imaging techniques for breast cancer (BC) diagnosis and prediction, such as X-
rays and magnetic resonance imaging (MRI), demonstrate varying sensitivity and specificity …

The Current and Future Roles of Precision Oncology in Advanced Breast Cancer

H Jacene, E Dietsche, J Specht - Journal of Nuclear Medicine, 2024 - Soc Nuclear Med
Breast cancer is a common but heterogeneous disease characterized by several biologic
features, including tumor grade, hormone receptor status, human epidermal growth factor …