Publications by authors named "Liantu He"

Rationale And Objectives: To investigate the diagnostic value of perfluorobutane-enhanced ultrasound (US) examinations for differentiating benign from malignant subpleural lung lesions.

Methods: This single-center, retrospective study enrolled consecutive patients with subpleural lung lesions between January 2022 and March 2023. The cause of the lung lesions was confirmed by biopsy and follow-up examinations.

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Background: The parietal pleural adhesion/invasion of lung cancer can contribute substantially to poor prognosis and difficulty in surgery. The value of ultrasound in evaluating the parietal pleural adhesion or invasion (pleural adhesion/invasion) of lung cancer remains uncertain. This study investigated the value of B-mode ultrasound and contrast-enhanced ultrasound (CEUS) in diagnosing parietal pleural adhesion/invasion of subpleural lung cancer.

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Background: Immunohistochemical microvessel density (MVD) is an early indicator of angiogenesis and it could be used to evaluate the therapeutic efficacy of non-small cell lung cancer (NSCLC). We sought to identify the ability of contrast-enhanced ultrasound (CEUS) in evaluating MVD of subpleural NSCLC.

Methods: We prospectively collected CEUS data of NSCLC confirmed by ultrasound-guided transthoracic needle biopsy from October 2019 to February 2021, The MVD of NSCLC counted by CD34-positive vessels of immunohistochemical staining.

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Background: Pleural disease is a prevalent condition. As precision therapy advances, noninvasive imaging modalities play even more important roles in the evaluation of pleural diseases. This study investigated the diagnostic capabilities of high-frequency B-mode ultrasound (US) and contrast-enhanced US (CEUS) in terms of differentiating between benign and malignant pleural diseases.

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Background: Malignant pleural mesothelioma (MPM) is a highly invasive malignant tumor. Ultrasound guidance has the advantages of real-time, convenience and nonradiative. We sought to identify diagnostic value and its influenced factors of ultrasound-guided percutaneous pleural needle biopsy (US-PPNB) for MPM.

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Aims: The purpose of this paper is to prospectively evaluate the performance of an artificial intelligence (AI) system in diagnosing thyroid nodules and to assess its potential value in comparison with the performance of radiologists with different levels of experience, as well as the factors affecting its diagnostic accuracy.

Background: In recent years, medical imaging diagnosis using AI has become a popular topic in clinical application research.

Objective: This study aimed to evaluate the performance of an AI system in diagnosing thyroid nodules and compare it with the performance levels of different radiologists.

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Background: Hemoptysis is the most frequently reported complication of ultrasound-guided transthoracic needle lung biopsy (US-TTLB). However, factors influencing the occurrence of hemoptysis as a result of US-TTLB remain uncertain. Therefore, the aim of this study was to evaluate the incidence of hemoptysis as a complication of US-TTLB and to identify the related risk factors.

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