Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
Radiomics: from qualitative to quantitative imaging
W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor …
Background: in current clinical practice, the standard evaluation for axillary lymph node
(ALN) status in breast cancer has a low efficiency and is based on an invasive procedure …
(ALN) status in breast cancer has a low efficiency and is based on an invasive procedure …
MRI-based quantification of intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer
Z Shi, X Huang, Z Cheng, Z Xu, H Lin, C Liu, X Chen… - Radiology, 2023 - pubs.rsna.org
Background Breast cancer is highly heterogeneous, resulting in different treatment
responses to neoadjuvant chemotherapy (NAC) among patients. A noninvasive quantitative …
responses to neoadjuvant chemotherapy (NAC) among patients. A noninvasive quantitative …
Radiogenomic-based multiomic analysis reveals imaging intratumor heterogeneity phenotypes and therapeutic targets
Intratumor heterogeneity (ITH) profoundly affects therapeutic responses and clinical
outcomes. However, the widespread methods for assessing ITH based on genomic …
outcomes. However, the widespread methods for assessing ITH based on genomic …
Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter …
YH Huang, T Zhu, XL Zhang, W Li, XX Zheng… - …, 2023 - thelancet.com
Background Accurate identification of pCR to neoadjuvant chemotherapy (NAC) is essential
for determining appropriate surgery strategy and guiding resection extent in breast cancer …
for determining appropriate surgery strategy and guiding resection extent in breast cancer …
[HTML][HTML] Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
The advancement of artificial intelligence concurrent with the development of medical
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
imaging techniques provided a unique opportunity to turn medical imaging from mostly …
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
Distant metastasis (DM) is the main cause of treatment failure in locally advanced rectal
cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients …
cancer. Adjuvant chemotherapy is usually used for distant control. However, not all patients …
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study
Objectives Breast cancer (BC) is the most common cancer in women worldwide, and
neoadjuvant chemotherapy (NAC) is considered the standard of treatment for most patients …
neoadjuvant chemotherapy (NAC) is considered the standard of treatment for most patients …
Radiomics predicts the prognosis of patients with locally advanced breast cancer by reflecting the heterogeneity of tumor cells and the tumor microenvironment
X Wang, T Xie, J Luo, Z Zhou, X Yu, X Guo - Breast Cancer Research, 2022 - Springer
Background This study investigated the efficacy of radiomics to predict survival outcome for
locally advanced breast cancer (LABC) patients and the association of radiomics with tumor …
locally advanced breast cancer (LABC) patients and the association of radiomics with tumor …