Publications by authors named "Yingxia She"

Purpose: This study aimed to determine the diagnostic efficacy of various indicators and models for the prediction of gastric cancer with liver metastasis.

Methods: Clinical and spectral computed tomography (CT) data from 80 patients with gastric adenocarcinoma who underwent surgical resection were retrospectively analyzed. Patients were divided into metastatic and non-metastatic groups based on whether or not to occur liver metastasis, and the region of interest (ROI) was measured manually on each phase iodine map at the largest level of the tumor.

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Background: The grading of adult isocitrate dehydrogenase (IDH)-mutant astrocytomas is a crucial prognostic factor.

Purpose: To investigate the value of conventional magnetic resonance imaging (MRI) features and apparent diffusion coefficient (ADC) in the grading of adult IDH-mutant astrocytomas, and to analyze the correlation between ADC and the Ki-67 proliferation index.

Material And Methods: The clinical and MRI data of 82 patients with adult IDH-mutant astrocytoma who underwent surgical resection and molecular genetic testing with IDH and 1p/19q were retrospectively analyzed.

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Objective: To establish and validate a model comprising clinical and radiological features to pre-operatively predict post-resection hepatic metastasis (HM) in patients with gastric adenocarcinoma (GAC).

Methods: We retrospectively analyzed 461 patients (HM, 106 patients); and non-metastasis (NM, 355 patients) who were confirmed to have GAC post-surgery. The patients were randomly divided into the training ( = 307) and testing ( = 154) cohorts in a 2:1 ratio.

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Synopsis of recent research by authors named "Yingxia She"

  • - Yingxia She's research primarily focuses on the intersection of clinical imaging techniques and cancer diagnostics, with recent studies exploring predictive models for liver metastasis in gastric cancer and grading of astrocytomas.
  • - In a study involving spectral-CT, She analyzed iodine concentration data from patients with gastric adenocarcinoma to enhance diagnostic capabilities for predicting liver metastasis.
  • - Another significant contribution examines the role of the apparent diffusion coefficient (ADC) in evaluating IDH-mutant astrocytomas, correlating MRI features with the Ki-67 proliferation index to improve prognostic assessments.