Publications by authors named "Ruoshui Ha"

Background: GE Healthcare's new generation of deep-learning image reconstruction (DLIR), the Revolution Apex CT is the first CT image reconstruction engine based on a deep neural network to be approved by the US Food and Drug Administration (FDA). It can generate high-quality CT images that restore the true texture with a low radiation dose. The aim of the present study was to assess the image quality of coronary CT angiography (CCTA) at 70 kVp with the DLIR algorithm as compared to the adaptive statistical iterative reconstruction-Veo (ASiR-V) algorithm in patients of different weight.

View Article and Find Full Text PDF

Objective: To evaluate the feasibility of quantitative enhancing lesion volume (ELV) for evaluating the responsiveness of breast cancer patients to early neoadjuvant chemotherapy (NAC) using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

Methods: Seventy-five women with breast cancer underwent DCE-MRI before and after NAC. Lesions were assessed by ELV, response evaluation criteria in solid tumors 1.

View Article and Find Full Text PDF

Aim: To describe the clinical characteristics with genetic lesions in a Chinese family with Crouzon syndrome.

Methods: All five patients from this family were included and received comprehensive ophthalmic and systemic examinations. Direct sequencing of the gene was employed for mutation identification.

View Article and Find Full Text PDF

Background: To determine the genetic lesions and to modify the clinical diagnosis for a Chinese family with significant intrafamilial phenotypic diversities and unusual presentations.

Methods: Three affected patients and the asymptomatic father were included and received comprehensive systemic examinations. Whole exome sequencing (WES) was performed for mutation detection.

View Article and Find Full Text PDF