Update on DWI for breast cancer diagnosis and treatment monitoring
RL Gullo, SC Partridge, HJ Shin… - American Journal of …, 2024 - Am Roentgen Ray Soc
DWI is a noncontrast MRI technique that measures the diffusion of water molecules within
biologic tissue. DWI is increasingly incorporated into routine breast MRI examinations …
biologic tissue. DWI is increasingly incorporated into routine breast MRI examinations …
[HTML][HTML] Artificial intelligence-enhanced breast MRI: applications in breast cancer primary treatment response assessment and prediction
RL Gullo, E Marcus, J Huayanay… - Investigative …, 2024 - journals.lww.com
Primary systemic therapy (PST) is the treatment of choice in patients with locally advanced
breast cancer and is nowadays also often used in patients with early-stage breast cancer …
breast cancer and is nowadays also often used in patients with early-stage breast cancer …
AI Applications to Breast MRI: Today and Tomorrow
R Lo Gullo, J Brunekreef, E Marcus… - Journal of Magnetic …, 2024 - Wiley Online Library
In breast imaging, there is an unrelenting increase in the demand for breast imaging
services, partly explained by continuous expanding imaging indications in breast diagnosis …
services, partly explained by continuous expanding imaging indications in breast diagnosis …
[HTML][HTML] Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective …
TV Bartolotta, C Militello, F Prinzi, F Ferraro… - La radiologia …, 2024 - Springer
Purpose To investigate the feasibility of an artificial intelligence (AI)-based semi-automated
segmentation for the extraction of ultrasound (US)-derived radiomics features in the …
segmentation for the extraction of ultrasound (US)-derived radiomics features in the …
Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter …
Y Deng, Y Lu, X Li, Y Zhu, Y Zhao, Z Ruan, N Mei… - European …, 2024 - Springer
Objectives To preoperatively evaluate the human epidermal growth factor 2 (HER2) status in
breast cancer using mammographic radiomics features and clinical characteristics on a multi …
breast cancer using mammographic radiomics features and clinical characteristics on a multi …
[HTML][HTML] Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [18F]FDG-PET …
K Jannusch, F Dietzel, NM Bruckmann… - European Journal of …, 2024 - Springer
Purpose To evaluate if a machine learning prediction model based on clinical and easily
assessable imaging features derived from baseline breast [18F] FDG-PET/MRI staging can …
assessable imaging features derived from baseline breast [18F] FDG-PET/MRI staging can …
Detecting double expression status in primary central nervous system lymphoma using multiparametric MRI based machine learning
G Liu, X Zhang, N Zhang, H Xiao… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Double expression lymphoma (DEL) is a subtype of primary central nervous
system lymphoma (PCNSL) that often has a poor prognosis. Currently, there are limited …
system lymphoma (PCNSL) that often has a poor prognosis. Currently, there are limited …
A machine-learning approach based on multiparametric MRI to identify the risk of non-sentinel lymph node metastasis in patients with early-stage breast cancer
H Yu, Q Li, F Xie, S Wu, Y Chen, C Huang… - Acta …, 2024 - journals.sagepub.com
Background It has been reported that patients with early breast cancer with 1–2 positive
sentinel lymph nodes have a lower risk of non-sentinel lymph node (NSLN) metastasis and …
sentinel lymph nodes have a lower risk of non-sentinel lymph node (NSLN) metastasis and …
[HTML][HTML] Edge of discovery: Enhancing breast tumor MRI analysis with boundary-driven deep learning
Manually segmenting breast lesion images poses a labor-intensive and expensive
undertaking for radiologists. Therefore, the adoption of an automated diagnostic approach …
undertaking for radiologists. Therefore, the adoption of an automated diagnostic approach …
[HTML][HTML] Explainable Artificial Intelligence in Quantifying Breast Cancer Factors: Saudi Arabia Context
Breast cancer represents a significant health concern, particularly in Saudi Arabia, where it
ranks as the most prevalent cancer type among women. This study focuses on leveraging …
ranks as the most prevalent cancer type among women. This study focuses on leveraging …