Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

F Davnall, CSP Yip, G Ljungqvist, M Selmi, F Ng… - Insights into …, 2012 - Springer
Background Tumor spatial heterogeneity is an important prognostic factor, which may be
reflected in medical images Methods Image texture analysis is an approach of quantifying …

Radiomics: a new application from established techniques

V Parekh, MA Jacobs - Expert review of precision medicine and …, 2016 - Taylor & Francis
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

Radiomics signature on magnetic resonance imaging: association with disease-free survival in patients with invasive breast cancer

H Park, Y Lim, ES Ko, H Cho, JE Lee, BK Han… - Clinical Cancer …, 2018 - AACR
Purpose: To develop a radiomics signature based on preoperative MRI to estimate disease-
free survival (DFS) in patients with invasive breast cancer and to establish a radiomics …

Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis

S Chicklore, V Goh, M Siddique, A Roy… - European journal of …, 2013 - Springer
Abstract 18 F-Fluorodeoxyglucose positron emission tomography/computed tomography (18
F-FDG PET/CT) is now routinely used in oncological imaging for diagnosis and staging and …

Radiomics in breast MRI: Current progress toward clinical application in the era of artificial intelligence

H Satake, S Ishigaki, R Ito, S Naganawa - La radiologia medica, 2022 - Springer
Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …

Breast cancer heterogeneity: MR imaging texture analysis and survival outcomes

JH Kim, ES Ko, Y Lim, KS Lee, BK Han, EY Ko… - Radiology, 2017 - pubs.rsna.org
Purpose To determine the relationship between tumor heterogeneity assessed by means of
magnetic resonance (MR) imaging texture analysis and survival outcomes in patients with …

How radiomics can improve breast cancer diagnosis and treatment

F Pesapane, P De Marco, A Rapino… - Journal of Clinical …, 2023 - mdpi.com
Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Magnetic resonance imaging texture analysis classification of primary breast cancer

SA Waugh, CA Purdie, LB Jordan, S Vinnicombe… - European …, 2016 - Springer
Objectives Patient-tailored treatments for breast cancer are based on histological and
immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis …

A software tool for automatic classification and segmentation of 2D/3D medical images

M Strzelecki, P Szczypinski, A Materka… - Nuclear instruments and …, 2013 - Elsevier
Modern medical diagnosis utilizes techniques of visualization of human internal organs (CT,
MRI) or of its metabolism (PET). However, evaluation of acquired images made by human …

Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI

VS Parekh, MA Jacobs - NPJ breast cancer, 2017 - nature.com
Radiomics deals with the high throughput extraction of quantitative textural information from
radiological images that not visually perceivable by radiologists. However, the biological …