Publications by authors named "De-Xing Kong"

Article Synopsis
  • Ovarian cancer has the highest death rate among women's cancers and is primarily screened using ultrasound, but accurate assessment is difficult due to complex images and anatomy.
  • Researchers developed an AI system called the Ovarian Multi-Task Attention Network (OvaMTA) to automate the detection, segmentation, and classification of ovarian masses from ultrasound images.
  • The AI system was trained with thousands of images, validated with real-world tests, and compared against physician assessments to evaluate its effectiveness in aiding diagnoses of ovarian cancer.
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Background: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on deep learning (DL) algorithms, validate the effectiveness of the model, and explore the potential value of DL algorithms in assessing FLM.

Methods: A total of 7013 ultrasound images obtained from 1023 normal pregnancies between 20 and 41 + 6 weeks were analyzed in this study.

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Background: Post-hepatectomy liver failure (PHLF) increases morbidity and mortality after liver resection for patients with advanced liver fibrosis and cirrhosis. Preoperative liver stiffness using two-dimensional shear wave elastography (2D-SWE) is widely used to evaluate the degree of fibrosis. However, the 2D-SWE results were not accurate.

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The aim of this study was to pre-operatively investigate the diagnostic performance of 2D shear wave elastography (2D-SWE) for staging liver fibrosis and inflammation in patients with hepatocellular carcinoma (HCC) who then undergo surgery and to determine the optimal locations for measurement. In total, 106 patients were enrolled in this prospective study from March 2017 to May 2018. Two-dimensional SWE was used to measure liver stiffness (LS) in each patient 0-1, 1-2 and 2-5 cm from the tumor border (groups 1, 2 and 3, respectively).

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Radio frequency ablation (RFA) is an effective means of achieving local control of liver cancer. It is a particularly suitable mode of therapy for small and favorably located tumors. However, local progression rates are substantially higher for large tumors (>3.

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Objective: To investigate the role of activated brain regions in Parkinson's disease (PD) during tactile stimulation.

Methods: Twenty-one patients with early PD[mean age (60.43 +/-9.

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Objective: To examine the age, sex, and hemispheric differences in volume of the striatum by MRI in healthy adults.

Methods: The volumes of the bilateral caudate nucleus and putamen were measured on MR images in 100 healthy right-handed adults (18-70 y).

Results: The volume of bilateral caudate nucleus and putamen in healthy adults was (8.

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