Publications by authors named "Hanliang Zhang"
Article Synopsis
- This study aimed to see if histogram analysis of amide proton transfer-weighted (APTw) MRI images can predict complete pathological regression (pCR) in locally advanced rectal cancer patients undergoing chemoradiotherapy.
- One hundred forty-five patients were evaluated, showing that those with pCR had distinct APTw and apparent diffusion coefficient (ADC) characteristics compared to non-pCR patients, which could help identify treatment response.
- The findings suggest histogram analysis could be a valuable method for predicting how patients will respond to neoadjuvant chemoradiotherapy, with a high accuracy rate in the combined model used in the study.
Objectives: To construct and validate multiparametric MR-based radiomic models based on primary tumors for predicting lymph node metastasis (LNM) following neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) patients.
Methods: A total of 150 LARC patients from two independent centers were enrolled. The training cohort comprised 100 patients from center A.
Background: The level of Ki-67 expression has served as a prognostic factor in gastric cancer. The quantitative parameters based on the novel dual-layer spectral detector computed tomography (DLSDCT) in discriminating the Ki-67 expression status are unclear.
Aim: To investigate the diagnostic ability of DLSDCT-derived parameters for Ki-67 expression status in gastric carcinoma (GC).
Objectives: To assess the utility of Dual-layer spectral-detector CT (DLCT) in predicting the pT stage and histologic grade for colorectal adenocarcinoma (CRAC).
Methods: A total of 131 patients (mean 62.7 ± 12.