- Predicting pathologic response to neoadjuvant chemotherapy in ...🔍
- Predicting Pathologic Response to Neoadjuvant Chemotherapy in ...🔍
- Predicting pathologic complete response to neoadjuvant ...🔍
- Cross|modal deep learning model for predicting pathologic ...🔍
- Prediction of the Pathological Response to Neoadjuvant ...🔍
- Developing a Prediction Model for Pathologic Complete Response ...🔍
- Predicting Pathologic Complete Response after Neoadjuvant ...🔍
- Gene Expression Profiles Predict Complete Pathologic Response to ...🔍
Predicting pathologic response to neoadjuvant chemotherapy in ...
Predicting pathologic response to neoadjuvant chemotherapy in ...
Our findings support that change in standard ADC values and clinical stage at baseline can predict the effects of neoadjuvant chemotherapy ...
Predicting pathologic response to neoadjuvant chemotherapy in ...
Changes in cell membrane permeability caused by cell necrosis can lead to increased extracellular space and water molecular fluidity, which can ...
Predicting pathologic response to neoadjuvant chemotherapy in ...
Patients who show greater reduction in tCho compared with changes in tumor size are more likely to achieve pCR. The change in tumor size halfway through ...
Predicting Pathologic Response to Neoadjuvant Chemotherapy in ...
Dynamic contrast material–enhanced magnetic resonance (MR) imaging is increasingly being used to evaluate the response of patients with breast ...
Predicting pathologic complete response to neoadjuvant ...
For patients with breast cancer undergoing neoadjuvant chemotherapy (NACT), most of the existing prediction models of pathologic complete ...
Cross-modal deep learning model for predicting pathologic ... - Nature
Pathological complete response (pCR) serves as a critical measure of the success of neoadjuvant chemotherapy (NAC) in breast cancer, ...
Prediction of the Pathological Response to Neoadjuvant ...
We performed a systematic review and a meta-analysis of studies using MRI-radiomics for predicting the pathological complete response in breast cancer ...
Developing a Prediction Model for Pathologic Complete Response ...
The optimal characteristics among patients with breast cancer to recommend neoadjuvant chemotherapy is an active area of clinical research.
Predicting Pathologic Complete Response after Neoadjuvant ...
Neoadjuvant chemotherapy (NAC) is a powerful and well-established treatment strategy that is largely used in patients with locally advanced ...
Gene Expression Profiles Predict Complete Pathologic Response to ...
Pathologic complete response (pCR), defined as disappearance of all invasive cancer in the breast after completion of neoadjuvant chemotherapy, has been ...
Predicting response to neoadjuvant chemotherapy with liquid ...
Accurate prediction of response to neoadjuvant chemotherapy (NAC) can help tailor treatment to individual patients' needs.
Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic ...
Background: This study aimed to predict pathologic complete response (pCR) in neoadjuvant chemotherapy for ER+HER2- locally advanced breast ...
Predicting pathological response to neoadjuvant chemotherapy in ...
NEOADJUVANT CHEMOTHERAPY HAS been one of the standard therapies for the treatment of stage II and III breast cancer ( · MRI has been shown to be ...
Biomarkers Predicting Pathologic Complete Response to ...
Predicting which patients will achieve pCR to neoadjuvant chemotherapy is important because neoadjuvant chemotherapy is not without risk. For ...
Ultrasound-based prediction of pathologic response to neoadjuvant ...
Accuracy in predicting pathologic response to neoadjuvant chemotherapy (NACT) in breast cancer is essential for the determination of therapeutic efficacy ...
A real-world clinicopathological model for predicting pathological ...
Results: In the 279 patients enrolled, a pathologic complete response (pCR) rate of 27.96% (78 out of 279) was achieved. The predictive model ...
Pathologic response to neoadjuvant chemotherapy in advanced ...
Currently, there is no shared histopathologic scoring system to assess pathologic response in the specimens obtained at interval surgery after neoadjuvant ...
Early Prediction of Pathologic Response to Neoadjuvant ...
Objectives: The aim of this study was to predict the efficacy for predicting pathologic response to neoadjuvant chemotherapy (NAC) in advanced ...
Individualized model for predicting pathological complete response ...
Background: Pathological complete response (pCR) is considered a surrogate for favorable survival in breast cancer (BC) patients treated ...
Deep learning for predicting major pathological response to ...
A full evaluation of tumour diagnosis and staging was conducted before neoadjuvant therapy and included a CT scan, abdominal ultrasound, ...