Questions about Breast Cancer
Is there any research on using AI for Breast Cancer pathology?
Yes, AI is being researched for breast cancer pathology, including digital pathology, deep learning for imaging, and machine learning for biomarker detection.
Full answer →Can a plasma lipid panel help detect early stage Breast Cancer?
Yes, early research shows plasma lipid panels can help detect early-stage breast cancer, with machine learning models achieving high accuracy, but they are not yet standard clinical tests.
Full answer →What are the new treatments for triple-negative and HER2-positive Breast Cancer?
New treatments for triple-negative breast cancer include chemo-immunotherapy (pembrolizumab plus platinum-based chemo) and potential NY-ESO-1 targeted therapies; for HER2-positive breast cancer, neoadjuvant targeted combinations and post-neoadjuvant trastuzumab emtansine are key
Full answer →Does the PECS II block reduce morphine use after Breast Cancer surgery?
Yes, the PECS II block significantly reduces morphine use after breast cancer surgery, based on multiple randomized trials and a meta-analysis.
Full answer →Can deep learning help doctors find Breast Cancer on tomosynthesis scans?
Yes, deep learning can help doctors find breast cancer on tomosynthesis scans, matching or improving radiologist accuracy in some cases.
Full answer →All Breast Cancer Articles
- Tucatinib plus trastuzumab and pertuzumab improves median PFS to 24.9 months in HER2+ MBC
- THP shows noninferior pCR rates compared to TCbHP in HER2-positive invasive breast cancer
- OTUD7B acts as a context-dependent regulator in various cancers and inflammatory conditions
- Modified pectoral plane block (PECS II) provides longer analgesia duration and lower morphine use
- Narrative review of lung, breast, liver, and kidney cancer evidence
- Review covers capecitabine and trastuzumab emtansine for triple-negative and HER2-positive breast cancer
- Deep learning matches radiologists in breast cancer detection using tomosynthesis
- Narrative review on AI and digital pathology for breast and gynecologic cancers
- Plasma lipid panel and machine learning for non-invasive early breast cancer detection
- CDK4/6i plus AI or fulvestrant shows similar clinical benefit in HR+ HER2- MBC
- Narrative review discusses mitochondria and immune crosstalk in breast cancer patients
- Narrative review offers insights for managing breast cancer survivors with cardiovascular diseases
- Tucidinostat plus capecitabine shows 25.8% response in advanced HR-positive HER2-negative breast cancer
- IC-ECG-guided port placement in three breast cancer patients with PLSVC showed no complications
- Axillary ultrasound did not improve sentinel lymph node detection rates compared to clinical examination alone in early-stage breast cancer patients
- Network meta-analysis of adjuvant chemotherapy regimens for early-stage breast cancer identifies optimal dosing sequences and safety profiles
- Digital and AI-supported psychosocial interventions modestly reduce distress and improve quality of life in women with breast cancer
- Meta-analysis finds [68Ga]Ga-FAPI PET shows high diagnostic accuracy for gynecologic cancers
- DIBH reduces radiation dose to heart and lungs in left-sided breast cancer VMAT
- Hypofractionated stereotactic radiation therapy showed high local control in breast cancer brain metastases
- Meta-analysis finds BMI affects pCR rates in breast cancer patients receiving neoadjuvant chemotherapy
- NAUTILUS RCT reports 11.2% ALN metastasis rate in SLNB arm for cT1-2/N0 breast cancer
- Single-fraction stereotactic partial breast irradiation shows promising early control in early-stage breast cancer