Recent radiomics advancements in breast cancer: lessons and pitfalls for the next future

F Pesapane, A Rotili, GM Agazzi, F Botta, S Raimondi… - Current …, 2021 - mdpi.com
Radiomics is an emerging translational field of medicine based on the extraction of high-
dimensional data from radiological images, with the purpose to reach reliable models to be …

Contrast-enhanced mammography: what the radiologist needs to know

LMFH Neeter, HPJ Raat, R Alcantara, Q Robbe… - BJR| Open, 2021 - academic.oup.com
Contrast-enhanced mammography (CEM) is a combination of standard mammography and
iodinated contrast material administration. During the last decade, CEM has found its place …

Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral …

N Mao, Y Shi, C Lian, Z Wang, K Zhang, H Xie… - European …, 2022 - Springer
Objective To investigative the performance of intratumoral and peritumoral radiomics based
on contrast-enhanced spectral mammography (CESM) to preoperatively predict the effect of …

Radiomic feature reduction approach to predict breast cancer by contrast-enhanced spectral mammography images

R Massafra, S Bove, V Lorusso, A Biafora, MC Comes… - Diagnostics, 2021 - mdpi.com
Contrast-enhanced spectral mammography (CESM) is an advanced instrument for breast
care that is still operator dependent. The aim of this paper is the proposal of an automated …

Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients

J Zhang, Q Wu, W Yin, L Yang, B Xiao, J Wang, X Yao - BMC cancer, 2023 - Springer
Background Neoadjuvant chemotherapy (NAC) has become the standard therapeutic option
for early high-risk and locally advanced breast cancer. However, response rates to NAC vary …

Radiomics of MRI for the prediction of the pathological response to neoadjuvant chemotherapy in breast cancer patients: a single referral centre analysis

F Pesapane, A Rotili, F Botta, S Raimondi, L Bianchini… - Cancers, 2021 - mdpi.com
Simple Summary Nowadays, the only widely recognized method for evaluating the efficacy
of neoadjuvant chemotherapy is the assessment of the pathological response through …

Intra-and peritumoral radiomics of contrast-enhanced mammography predicts axillary lymph node metastasis in patients with breast cancer: a multicenter study

Z Wang, H Zhang, F Lin, R Zhang, H Ma, Y Shi… - Academic …, 2023 - Elsevier
Rationale and Objectives This multicenter study aimed to explore the feasibility of radiomics
based on intra-and peritumoral regions on preoperative breast cancer contrast-enhanced …

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) …

Radiomics based on digital mammography helps to identify mammographic masses suspicious for cancer

G Wang, D Shi, Q Guo, H Zhang, S Wang… - Frontiers in oncology, 2022 - frontiersin.org
Objectives This study aims to build radiomics model of Breast Imaging Reporting and Data
System (BI-RADS) category 4 and 5 mammographic masses extracted from digital …

GLCM and CNN Deep Learning Model for Improved MRI Breast Tumors Detection.

AA Alsalihi, HK Aljobouri… - International Journal of …, 2022 - search.ebscohost.com
Breast cancer is one of the most common types of cancer among Iraqi women. MRI has
been used in the detection of breast tumors for its efficient performance in the diagnosis …