A comprehensive approach for evaluating lymphovascular invasion in invasive breast cancer: Leveraging multimodal MRI findings, radiomics, and deep learning analysis of intra- and peritumoral regions.
Wen LiuLi LiJiao DengWei LiPublished in: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society (2024)
The diagnostic efficiency of the GPTV-derived radiomics and DL models surpassed that of the GTV-derived models. Furthermore, the hybrid model, which incorporated GPTV_DL, GPTV_radiomics, and imaging findings, demonstrated the effective determination of LVI status prior to surgery in patients with breast cancer.
Keyphrases
- lymph node metastasis
- contrast enhanced
- deep learning
- magnetic resonance imaging
- minimally invasive
- squamous cell carcinoma
- high resolution
- magnetic resonance
- computed tomography
- cell migration
- machine learning
- molecularly imprinted
- endometrial cancer
- convolutional neural network
- surgical site infection
- acute coronary syndrome
- photodynamic therapy
- chronic pain
- fluorescence imaging