Publications by authors named "YaYuan Feng"
Article Synopsis
- This study focuses on developing and validating a diagnostic model to predict RAS mutation status in patients with colorectal liver metastases (CRLMs), which is important for determining the efficacy of EGFR therapy.
- The research involved a multivariate prediction model, utilizing clinical, demographic, and imaging data from patients who underwent liver surgery between 2014 and 2020, with validation through external patient cohorts.
- The model's effectiveness was evaluated using statistical measures like area under the curve (AUC) and calibration plots, with additional analyses to assess its clinical relevance.
Article Synopsis
- The study analyzed CT scans and inflammatory markers in 113 patients with gallbladder polyps to distinguish between benign and malignant lesions before surgery.
- Results showed that factors like the lesion's base status, CT value, and specific blood ratios (NLR and MLR) were significant predictors of malignancy.
- A nomogram created from these factors demonstrated high accuracy (AUC = 0.964) in differentiating between benign and malignant conditions, aiding in clinical decision-making.
Purpose: The present study aimed to determine the reliable imaging features to distinguish atypical hepatocellular carcinoma (HCC) with peripheral rim-like enhancement from intrahepatic mass-forming cholangiocarcinoma (IMCC) on contrast-enhanced magnetic resonance imaging (MRI).
Methods: A total of 168 patients (130 male, 57.10 ± 10.
Background: The distinction between combined hepatocellular-cholangiocarcinoma (cHCC-CC) and hepatocellular carcinoma (HCC) before the operation has an important clinical significance for optimizing the treatment plan and predicting the prognosis of patients. Magnetic resonance imaging (MRI) has been widely used in the preoperative diagnosis and evaluation of primary liver malignant tumors.
Purpose: The aim is to study the value of preoperative clinical data and enhanced MRI in the differential diagnosis of HCC and cHCC-CC and obtain independent risk factors for predicting cHCC-CC.
Purpose: The present study aimed to develop and validate a preoperative model based on gadobenate-enhanced magnetic resonance imaging (MRI) for predicting microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) size of ≤5 cm. In order to provide preoperative guidance for clinicians to optimize treatment options.
Methods: 164 patients with pathologically confirmed HCC and preoperative gadobenate-enhanced MRI from July 2016 to December 2020 were retrospectively included.