Publications by authors named "Xiao-Guang Ni"

Article Synopsis
  • Researchers developed an AI model to differentiate between benign and malignant vocal fold leukoplakia (VFL) using white light and narrow-band imaging.
  • The study utilized a large dataset of images and videos for training and validation, achieving high accuracy rates in distinguishing VFL types.
  • The AI improved diagnostic performance among laryngologists, especially benefiting those with less experience; however, further refinements and testing are needed for clinical use.
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Introduction: Hypopharyngeal squamous cell carcinoma (HSCC) is one of the malignant tumors with the worst prognosis in head and neck cancers. The transformation from normal tissue through low-grade and high-grade intraepithelial neoplasia to cancerous tissue in HSCC is typically viewed as a progressive pathological sequence typical of tumorigenesis. Nonetheless, the alterations in diverse cell clusters within the tissue microenvironment (TME) throughout tumorigenesis and their impact on the development of HSCC are yet to be fully understood.

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Objective: To develop a multi-instance learning (MIL) based artificial intelligence (AI)-assisted diagnosis models by using laryngoscopic images to differentiate benign and malignant vocal fold leukoplakia (VFL).

Methods: The AI system was developed, trained and validated on 5362 images of 551 patients from three hospitals. Automated regions of interest (ROI) segmentation algorithm was utilized to construct image-level features.

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Article Synopsis
  • The study evaluates how narrow band imaging (NBI) can predict radiosensitivity in nasopharyngeal carcinoma (NPC) using radiomics and explores the underlying molecular mechanisms.
  • It analyzes NBI images from 57 NPC patients, identifying 54 important radiomic features that correlate with treatment response and employing machine learning for prediction accuracy.
  • Key immune genes related to macrophage activity were found to influence treatment responses, suggesting that NBI-based models could be a promising approach for predicting how NPC patients will respond to radiotherapy.
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Article Synopsis
  • * Some patients still experience relapse or disease progression, indicating a need for new treatment options.
  • * A phase II study (CLCG-NKT-2101) is being conducted to test the safety and effectiveness of combining anti-PD-1 antibody (tislelizumab) with radiation therapy in these patients, focusing on the complete response rate after treatment.
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Objective: To propose a scoring system based on laryngoscopic characteristics for the differential diagnosis of benign and malignant vocal fold leukoplakia.

Methods: Laryngoscopic images from 200 vocal fold leukoplakia cases were retrospectively analysed. The laryngoscopic signs of benign and malignant vocal fold leukoplakia were compared, and statistically significant features were assigned and accumulated to establish the leukoplakia finding score.

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Article Synopsis
  • - The study aimed to create and validate an AI system using a deep convolutional neural network (DCNN) to identify nasopharyngeal carcinoma (NPC) from historical nasopharyngoscopic images, utilizing a large dataset of over 14,000 images.
  • - The DCNN model, built on the YOLOv5 architecture, achieved impressive results with precision, recall, and accuracy rates significantly higher than junior otolaryngologists when tested on a separate validation dataset of 3,501 images.
  • - The results suggest that this AI model consistently outperforms junior doctors, indicating its potential to enhance diagnostic accuracy and reduce missed cases of NPC in clinical settings.
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With the development and generalization of endoscopic technology and screening, clinical application of magnetically controlled capsule gastroscopy (MCCG) has been increasing. In recent years, various types of MCCG are used globally. Therefore, establishing relevant guidelines on MCCG is of great significance.

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Objectives: Video laryngoscopy is an important diagnostic tool for head and neck cancers. The artificial intelligence (AI) system has been shown to monitor blind spots during esophagogastroduodenoscopy. This study aimed to test the performance of AI-driven intelligent laryngoscopy monitoring assistant (ILMA) for landmark anatomical sites identification on laryngoscopic images and videos based on a convolutional neural network (CNN).

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Objectives/hypothesis: To develop a deep-learning-based automatic diagnosis system for identifying nasopharyngeal carcinoma (NPC) from noncancer (inflammation and hyperplasia), using both white light imaging (WLI) and narrow-band imaging (NBI) nasopharyngoscopy images.

Study Design: Retrospective study.

Methods: A total of 4,783 nasopharyngoscopy images (2,898 WLI and 1,885 NBI) of 671 patients were collected and a novel deep convolutional neural network (DCNN) framework was developed named Siamese deep convolutional neural network (S-DCNN), which can simultaneously utilize WLI and NBI images to improve the classification performance.

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Background: The diagnosis of vocal cord leukoplakia mainly relies on laryngoscopy. The morphology of vocal cord leukoplakia under laryngoscope is closely related to the pathological nature of leukoplakia. The specific manifestations associated with high-risk vocal cord leukoplakia remain to be explored.

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Introduction: We aimed to analyze the relationship between the changed status of vocal cord mobility and survival outcomes.

Methods: Seventy-eight patients with dysfunctional vocal cords and hypopharyngeal carcinomas accepted non-surgical treatment as the initial therapy between May 2009 and December 2016. Vocal cord mobility was assessed before and after the initial non-surgical treatment.

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Objective: To analyse the application of a new narrow-band imaging (NBI) classification in the diagnosis of vocal cord leukoplakia by laryngologists with different levels of laryngoscopic experience and to explore the impact of NBI training programmes on laryngologists' identification of benign and malignant leukoplakia.

Design: Prospective multicentre study.

Setting: Tertiary hospitals.

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Objectives: The purpose of this study was to introduce a new narrow band imaging (NBI) endoscopic classification for the diagnosis of vocal cord leukoplakia.

Study Design: Case series.

Methods: From January 2010 to February 2018, a total of 120 cases of vocal cord leukoplakia were enrolled in this study.

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Conclusions: The new NBI classification of nasopharyngeal mucosal microvessels was helpful in differential diagnosis for benign and malignant lesions of the nasopharyngeal region. NBI endoscopy facilitates the detection of superficial nasopharyngeal lesions and might enable early diagnoses of NPC.

Objectives: To propose a new microvessel diagnostic classification using narrow band imaging (NBI) endoscopy and to investigate the role of an NBI classification in the diagnosis of nasopharyngeal carcinoma (NPC).

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Early diagnosis of malignant tumors in the head and neck region is very difficult. Therefore, endoscopic systems with narrow band imaging (NBI), which enhances image contrast, have an important clinical value in detecting superficial mucosal lesions. In particular, highlighting of the intraepithelial microvasculature helps determine the nature of the lesion.

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Objective: To investigate the value of narrow band imaging (NBI) endoscopy in the detection of unknown primary tumor site with cervical lymph node metastases of squamous cell carcinoma.

Methods: Fifty-three patients with cervical lymph node metastases of squamous cell carcinoma treated in our department between June 2009 and December 2011 were enrolled in this study. Their primary tumor site was not detected by routine computed tomography, magnetic resonance imaging and laryngoscopy.

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Objective: To evaluate the efficacy and safety of endoscopic mucous resection with transparent cap (EMR-Cap) and endoscopic multi-band mucosectomy (MBM) in the treatment of early esophageal cancer and precancerous lesion.

Methods: A retrospective study was performed to review 30 EMR-Cap cases from December 2008 to December 2009 and 32 MBM cases from January 2010 to January 2011 of early esophageal cancer and precancerous lesions. The differences between these two techniques in efficacy, safety, and cost were compared.

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Objective: To investigate the method displaying the hypopharynx and esophageal entrance under laryngoscopy to determine the invasion range of hypopharyngeal cancer.

Methods: A total of 113 patients with hypopharyngeal cancer was enrolled in this study and they previously underwent conventional laryngoscopic and radiologic examinations. The esophageal entrance was exposed by injecting gas through the biopsy channel of laryngoscope.

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Objective: To evaluate the diagnostic yield of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in cases of undiagnosed intrapulmonary lesions.

Methods: A total of 89 patients with intrathoracic lesions underwent EBUS-TBNA, including 56 pulmonary lesions, 7 lymph node staging in lung cancer patients, 21 unknown hilar and/or mediastinal lymphadenopathies and 5 mediastinal tumors. All samples were evaluated for cytological and pathological examinations.

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Objective: To investigate the value of narrow band imaging (NBI) endoscopy in the detection of laryngeal cancer and its precursor lesions.

Methods: Between December 2008 and July 2009, a total of 122 consecutive patients with suspected precancerous or cancerous lesions of the larynx were enrolled in this study. High performance endoscopic system equipped with the white light mode and NBI mode was introduced in the examination of larynx.

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Objective: To evaluate the value of transbronchial needle aspiration (TBNA) combined with transesophageal endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) in the diagnosis of mediastinal and pulmonary hilar lesions as well as in the lymph node staging (N staging) of lung cancer.

Methods: 129 patients with mediastinal and pulmonary hilar lesions underwent either TBNA or EUS-FNA with cytological needle aspiration. The samples obtained from TBNA or EUS-FNA were examined by both cytologiy and histopathology.

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A well-known observation with respect to cancer biology is that transformed cells display a disturbed cytoskeleton. The underlying mechanisms, however, remain only partly understood. In an effort to identify possible mechanisms, we compared the proteome of pancreatic cancer with matched normal pancreas and observed diminished protein levels of gelsolin--an actin filament severing and capping protein of crucial importance for maintaining cytoskeletal integrity--in pancreatic cancer.

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Article Synopsis
  • The study aimed to explore how annexin I influences human pancreatic cancer and its role in cancer development.
  • Researchers used a pancreatic cancer cell line with high annexin I expression, applying RNA interference techniques to reduce annexin I levels and observe the effects on cancer cell behavior.
  • Results showed that reducing annexin I led to decreased growth rates, altered cell appearances, and increased cell death in the pancreatic cancer cells, indicating its role in promoting cancer cell proliferation and survival.
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Gastrointestinal endoscopy has experienced tremendous developments in technology and equipment over the past decades. It is not only a diagnostic tool, but it also allows some interventional treatments in benign and malignant digestive diseases. Operative colonoscopy has been used to perform curative treatment of various kinds of polyps, flat and carpet-like adenomas and early colorectal carcinomas.

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