Publications by authors named "Shuanshuan Guo"

Article Synopsis
  • Parkinson's disease (PD) is increasing globally due to aging, but effective treatments for its motor and cognitive symptoms are still lacking, with neuroinflammation and neuronal apoptosis worsening these conditions.
  • The study developed minocycline-loaded iron oxide nanoparticles (FeO-MIN NPs) that can cross the blood-brain barrier using near-infrared (NIR) irradiation, allowing targeted delivery to the brain.
  • The FeO-MIN NPs showed strong anti-inflammatory and antioxidative properties, protecting neurons and improving motor function and cognitive ability in PD mice, indicating their potential as a therapeutic option.
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Objective: To investigate a method using multi-sequence magnetic resonance imaging (MRI) to synthesize computed tomography (CT) for MRI-only radiation therapy.

Approach: We proposed an adaptive multi-sequence fusion network (AMSF-Net) to exploit both voxel- and context-wise cross-sequence correlations from multiple MRI sequences to synthesize CT using element- and patch-wise fusions, respectively. The element- and patch-wise fusion feature spaces were combined, and the most representative features were selected for modeling.

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Background And Purpose: Dynamic positron emission tomography/computed tomography (PET/CT) served the potential role of characterizing malignant foci. The main objective of this prospective study was to explore the advantage of dynamic PET/CT imaging in characterizing nasopharyngeal carcinoma (NPC).

Methods And Materials: Patients with probable head and neck disease underwent a local dynamic PET/CT scan followed by a whole-body static scan.

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To assist physicians identify COVID-19 and its manifestations through the automatic COVID-19 recognition and classification in chest CT images with deep transfer learning. In this retrospective study, the used chest CT image dataset covered 422 subjects, including 72 confirmed COVID-19 subjects (260 studies, 30,171 images), 252 other pneumonia subjects (252 studies, 26,534 images) that contained 158 viral pneumonia subjects and 94 pulmonary tuberculosis subjects, and 98 normal subjects (98 studies, 29,838 images). In the experiment, subjects were split into training (70%), validation (15%) and testing (15%) sets.

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Background: More than 26,760,000 cases of SARS-CoV-2 infection have been reported globally to date. This study aimed to analyze the impact of new electronic communication tools in the diagnosis and treatment of patients with SARS-CoV-2 infection.

Methods: From January 20 to February 26, 2020, adult patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection who were treated in The Fifth Affiliated Hospital, Sun Yat-sen University, in Zhuhai, China, were recruited.

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Aim: To compare gemcitabine-based combination therapy and gemcitabine (GEM) alone in patients with advanced pancreatic cancer (APCa) through meta-analysis.

Methods: MEDLINE and EMBASE searches were supplemented by information from trial registers of randomized controlled trials (RCTs) for GEM-based combination therapy and GEM alone for APCa. A quantitative meta-analysis was carried out by two reviewers based on the inclusion criteria from all available RCTs.

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