Publications by authors named "Zhenlong Han"

Background: We aimed to construct and validate a deep learning (DL) radiomics nomogram using baseline and restage enhanced computed tomography (CT) images and clinical characteristics to predict the response of metastatic lymph nodes to neoadjuvant chemotherapy (NACT) in locally advanced gastric cancer (LAGC).

Methods: We prospectively enrolled 112 patients with LAGC who received NACT from January 2021 to August 2022. After applying the inclusion and exclusion criteria, 98 patients were randomized 7:3 to the training cohort (n = 68) and validation cohort (n = 30).

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Article Synopsis
  • This study analyzed the safety and effectiveness of laparoscopic gastrectomy (LG) versus open gastrectomy (OG) in patients with locally advanced gastric cancer (LAGC) who received neoadjuvant chemotherapy (NACT) between 2015 and 2019.
  • After matching patient groups, results showed that the LG group had less blood loss, fewer postoperative complications, and shorter hospital stays, although it required longer surgical times compared to the OG group.
  • While LG demonstrated better short-term outcomes, both surgical methods yielded similar long-term overall survival and recurrence-free survival rates.
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For the first time, a nanobiosensor was established for Sorghum mosaic virus (SrMV) detection. The biosensor consists of cadmium telluride quantum dots (CdTe QDs) conjugated to the specific antibody (Ab) against SrMV coat protein (CP) and carbon quantum dots (C QDs) labeled with SrMV coat protein. The formation of the fluorophore-quencher immunocomplex CdTe QDs-Ab+C QDs-CP led to a distinct decrease in the fluorescence intensity of CdTe QDs.

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