Radiogenomics: bridging imaging and genomics
From diagnostics to prognosis to response prediction, new applications for radiomics are
rapidly being developed. One of the fastest evolving branches involves linking imaging …
rapidly being developed. One of the fastest evolving branches involves linking imaging …
[HTML][HTML] Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology
J Shao, J Ma, Q Zhang, W Li, C Wang - Seminars in cancer biology, 2023 - Elsevier
Personalized treatment strategies for cancer frequently rely on the detection of genetic
alterations which are determined by molecular biology assays. Historically, these processes …
alterations which are determined by molecular biology assays. Historically, these processes …
Value of pre-therapy 18F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer
J Zhang, X Zhao, Y Zhao, J Zhang, Z Zhang… - European journal of …, 2020 - Springer
Purpose To assess the predictive power of pre-therapy 18 F-FDG PET/CT-based radiomic
features for epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …
features for epidermal growth factor receptor (EGFR) mutation status in non-small cell lung …
The application of radiomics in predicting gene mutations in cancer
Y Qi, T Zhao, M Han - European radiology, 2022 - Springer
With the development of genome sequencing, the role of molecular targeted therapy in
cancer is becoming increasingly important. However, genetic testing remains expensive …
cancer is becoming increasingly important. However, genetic testing remains expensive …
Radiogenomic models using machine learning techniques to predict EGFR mutations in non-small cell lung cancer
JKR Nair, UA Saeed, CC McDougall… - Canadian …, 2021 - journals.sagepub.com
Background: The purpose of this study was to build radiogenomics models from texture
signatures derived from computed tomography (CT) and 18F-FDG PET-CT (FDG PET-CT) …
signatures derived from computed tomography (CT) and 18F-FDG PET-CT (FDG PET-CT) …
Quantitative CT texture analysis in predicting PD-L1 expression in locally advanced or metastatic NSCLC patients
S Bracci, M Dolciami, C Trobiani, A Izzo, A Pernazza… - La radiologia …, 2021 - Springer
Abstract Purpose The assessment of Programmed death-ligand 1 (PD-L1) expression has
become a game changer in the treatment of patients with advanced non-small cell lung …
become a game changer in the treatment of patients with advanced non-small cell lung …
Radiomics predicts survival of patients with advanced non‑small cell lung cancer undergoing PD‑1 blockade using Nivolumab
V Nardone, P Tini, P Pastina, C Botta… - Oncology …, 2020 - spandidos-publications.com
Immune checkpoint blockade is an emerging anticancer strategy, and Nivolumab is a
human mAb to PD‑1 that is used in the treatment of a number of different malignancies …
human mAb to PD‑1 that is used in the treatment of a number of different malignancies …
Radiomics signature as a predictive factor for EGFR mutations in advanced lung adenocarcinoma
D Hong, K Xu, L Zhang, X Wan, Y Guo - Frontiers in oncology, 2020 - frontiersin.org
Purpose: To develop and validate a radiomic signature to identify EGFR mutations in
patients with advanced lung adenocarcinoma. Methods: This study involved 201 patients …
patients with advanced lung adenocarcinoma. Methods: This study involved 201 patients …
Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
Can CT radiomic analysis in NSCLC predict histology and EGFR... : Medicine Can CT radiomic
analysis in NSCLC predict histology and EGFR mutation status? : Medicine Log in or Register …
analysis in NSCLC predict histology and EGFR mutation status? : Medicine Log in or Register …
CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms
JR Ferreira-Junior, M Koenigkam-Santos… - International journal of …, 2020 - Springer
Purpose As some of the most important factors for treatment decision of lung cancer (which
is the deadliest neoplasm) are staging and histology, this work aimed to associate …
is the deadliest neoplasm) are staging and histology, this work aimed to associate …