The biological meaning of radiomic features
MR Tomaszewski, RJ Gillies - Radiology, 2021 - pubs.rsna.org
Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …
from radiologic imaging. Radiomics can be used to predict patient outcome through …
Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy
Radiological imaging is an integral component of cancer care, including diagnosis, staging,
and treatment response monitoring. It contains rich information about tumor phenotypes that …
and treatment response monitoring. It contains rich information about tumor phenotypes that …
Radiological tumour classification across imaging modality and histology
Radiomics refers to the high-throughput extraction of quantitative features from radiological
scans and is widely used to search for imaging biomarkers for the prediction of clinical …
scans and is widely used to search for imaging biomarkers for the prediction of clinical …
[HTML][HTML] SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers
Survival models exist to study relationships between biomarkers and treatment effects. Deep
learning-powered survival models supersede the classical Cox proportional hazards …
learning-powered survival models supersede the classical Cox proportional hazards …
Deep learning for fully automated prediction of overall survival in patients with oropharyngeal cancer using FDG-PET imaging
Purpose: Accurate prognostic stratification of patients with oropharyngeal squamous cell
carcinoma (OPSCC) is crucial. We developed an objective and robust deep learning–based …
carcinoma (OPSCC) is crucial. We developed an objective and robust deep learning–based …
[HTML][HTML] Post-treatment FDG PET-CT in head and neck carcinoma: comparative analysis of 4 qualitative interpretative criteria in a large patient cohort
J Zhong, M Sundersingh, K Dyker, S Currie… - Scientific reports, 2020 - nature.com
There is no consensus regarding optimal interpretative criteria (IC) for Fluorine-18
fluorodeoxyglucose (FDG) Positron Emission Tomography–Computed Tomography (PET …
fluorodeoxyglucose (FDG) Positron Emission Tomography–Computed Tomography (PET …
[HTML][HTML] Tumor habitat-based MRI features assessing early response in locally advanced nasopharyngeal carcinoma
J Yuan, M Wu, L Qiu, W Xu, Y Fei, Y Zhu, K Shi, Y Li… - Oral Oncology, 2024 - Elsevier
Objective The early response to concurrent chemoradiotherapy in patients with locally
advanced nasopharyngeal carcinoma (LA-NPC) is closely correlated with prognosis. In this …
advanced nasopharyngeal carcinoma (LA-NPC) is closely correlated with prognosis. In this …
Habitat radiomics based on MRI for predicting platinum resistance in patients with high-grade serous ovarian carcinoma: A multicenter study
Q Bi, K Miao, N Xu, F Hu, J Yang, W Shi, Y Lei, Y Wu… - Academic …, 2024 - Elsevier
Rationale and Objectives This study aims to explore the feasibility of MRI-based habitat
radiomics for predicting response of platinum-based chemotherapy in patients with high …
radiomics for predicting response of platinum-based chemotherapy in patients with high …
Artificial intelligence in tumor subregion analysis based on medical imaging: A review
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial
intelligence (AI) has achieved tremendous success in medical image analysis. This paper …
intelligence (AI) has achieved tremendous success in medical image analysis. This paper …
[HTML][HTML] Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept
Summary [18 F] Fluorodeoxyglucose positron emission tomography (FDG-PET) and
computed tomography (CT) are indispensable components in modern medicine. Although …
computed tomography (CT) are indispensable components in modern medicine. Although …