Anatomical classification of pharyngeal and laryngeal endoscopic images using artificial intelligence

Nakajo, Keiichiro; Ninomiya, Youichi; Kondo, Hibiki; Takeshita, Nobuyoshi; Uchida, Erika; Aoyama, Naoki; Inaba, Atsushi; Ikematsu, Hiroaki; Shinozaki, Takahiro; Matsuura, Kazuto; Hayashi, Ryuichi; Akimoto, Tetsuo; Yano, Tomonori

doi:10.1002/hed.27370

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Researchers have observed that such patients are more prone to PCF. Endoscopic observation can detect potential PCF early and prevent PCF 31 . There are various methods for prevention and treatment of pharyngeal cutaneous fistula, so it is very important to find out the risk factors and healing factors for the occurrence and development of laryngeal cutaneous fistula after total laryngectomy for laryngeal cancer.…”

Section: Discussionmentioning

confidence: 99%

RETRACTED: Risk factors and healing factors for pharyngocutaneous fistula after total laryngectomy for laryngeal cancer: An epidemiological study

Tai,

Liu,

Liu

et al. 2024

International Wound Journal

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To analyse the risk factors and healing factors of pharyngocutaneous fistula (PCF) in patients with laryngeal cancer after total laryngectomy, and to explore the relevant epidemiology. A retrospective analysis was conducted on laryngeal cancer patients who underwent total laryngectomy in our hospital from January 2010 to December 2022. The 349 patients included in the study were divided into a PCF group of 79 and a non‐PCF group of 270. Perform one‐way analysis of variance and multivariate logistic analysis on various data of patients included in the statistics, and analyse the risk factors and healing factors of PCF. Smoking, history of radiation therapy for laryngeal cancer, history of chemotherapy for laryngeal cancer, tumour location (larynx, pharynx, oesophagus), preoperative albumin, postoperative proteinaemia, <99 haemoglobin, postoperative haemoglobin, postoperative C‐reactive protein (CRP) level are the risk factors for PCF. Also, radiation therapy and postoperative proteinaemia were the main reasons for preventing PCF healing. Smoking history, laryngeal cancer, radiation therapy, albumin, haemoglobin and CRP are risk factors for postoperative PCF after total laryngectomy, while radiation therapy and postoperative hypoalbuminaemia are key factors affecting PCF healing.

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Section: Discussionmentioning

confidence: 99%

RETRACTED: Risk factors and healing factors for pharyngocutaneous fistula after total laryngectomy for laryngeal cancer: An epidemiological study

Tai,

Liu,

Liu

et al. 2024

International Wound Journal

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“…Artificial intelligence (AI) assisted computer vision during flexible laryngoscopy provides valuable insights and facilitates diagnosis. [7][8][9][10] Investigators have used deep learning models to classify vocal fold pathology, 11,12 localize lesions in the endoscopic field, 13,14 and evaluate images for diagnostic quality. [15][16][17] Most of these applications focus on static endoscopic images; there are few reports of video annotation models.…”

Section: Introductionmentioning

confidence: 99%

Laryngeal Cancer Screening During Flexible Video Laryngoscopy Using Large Computer Vision Models

Mamidi,

Dunham,

Adkins

et al. 2024

Ann Otol Rhinol Laryngol

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Objective: Develop an artificial intelligence assisted computer vision model to screen for laryngeal cancer during flexible laryngoscopy. Methods: Using laryngeal images and flexible laryngoscopy video recordings, we developed computer vision models to classify video frames for usability and cancer screening. A separate model segments any identified lesions on the frames. We used these computer vision models to construct a video stream annotation system. This system classifies findings from flexible laryngoscopy as “potentially malignant” or “probably benign” and segments any detected lesions. Additionally, the model provides a confidence level for each classification. Results: The overall accuracy of the flexible laryngoscopy cancer screening model was 92%. For cancer screening, it achieved a sensitivity of 97.7% and a specificity of 76.9%. The segmentation model attained an average precision at a 0.50 intersection-over-union of 0.595. The confidence level for positive screening results can assist clinicians in counseling patients regarding the findings. Conclusion: Our model is highly sensitive and adequately specific for laryngeal cancer screening. Segmentation helps endoscopists identify and describe potential lesions. Further optimization is required to enable the model’s deployment in clinical settings for real-time annotation during flexible laryngoscopy.

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Application of artificial intelligence in laryngeal lesions: a systematic review and meta-analysis

Marrero-Gonzalez,

Diemer,

Nguyen

et al. 2024

Eur Arch Otorhinolaryngol

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Objective The objective of this systematic review and meta-analysis was to evaluate the diagnostic accuracy of AI-assisted technologies, including endoscopy, voice analysis, and histopathology, for detecting and classifying laryngeal lesions. Methods A systematic search was conducted in PubMed, Embase, etc. for studies utilizing voice analysis, histopathology for laryngeal lesions, or AI-assisted endoscopy. The results of diagnostic accuracy, sensitivity and specificity were synthesized by a meta-analysis. Results 12 studies employing AI-assisted endoscopy, 2 studies for voice analysis, and 4 studies for histopathology were included in the meta-analysis. The combined sensitivity of AI-assisted endoscopy was 91% (95% CI 87–94%) for the classification of benign from malignant lesions and 91% (95% CI 90–93%) for lesion detection. The highest accuracy pooled in detecting lesions versus healthy tissue was the AI-aided endoscopy was 94% (95% CI 92–97%). Conclusions For laryngeal lesions, AI-assisted endoscopy shows excellent diagnosis accuracy. But more sizable prospective trials are needed to confirm the practical clinical value.

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Anatomical classification of pharyngeal and laryngeal endoscopic images using artificial intelligence

Cited by 5 publications

References 23 publications

RETRACTED: Risk factors and healing factors for pharyngocutaneous fistula after total laryngectomy for laryngeal cancer: An epidemiological study

RETRACTED: Risk factors and healing factors for pharyngocutaneous fistula after total laryngectomy for laryngeal cancer: An epidemiological study

Laryngeal Cancer Screening During Flexible Video Laryngoscopy Using Large Computer Vision Models

Application of artificial intelligence in laryngeal lesions: a systematic review and meta-analysis

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