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1.
Eur Arch Otorhinolaryngol ; 281(11): 5815-5821, 2024 Nov.
Article in English | MEDLINE | ID: mdl-39001915

ABSTRACT

PURPOSE: Accurate diagnosis and quantification of polyps and symptoms are pivotal for planning the therapeutic strategy of Chronic rhinosinusitis with nasal polyposis (CRSwNP). This pilot study aimed to develop an artificial intelligence (AI)-based image analysis system capable of segmenting nasal polyps from nasal endoscopy videos. METHODS: Recorded nasal videoendoscopies from 52 patients diagnosed with CRSwNP between 2019 and 2022 were retrospectively analyzed. Images extracted were manually segmented on the web application Roboflow. A dataset of 342 images was generated and divided into training (80%), validation (10%), and testing (10%) sets. The Ultralytics YOLOv8.0.28 model was employed for automated segmentation. RESULTS: The YOLOv8s-seg model consisted of 195 layers and required 42.4 GFLOPs for operation. When tested against the validation set, the algorithm achieved a precision of 0.91, recall of 0.839, and mean average precision at 50% IoU (mAP50) of 0.949. For the segmentation task, similar metrics were observed, including a mAP ranging from 0.675 to 0.679 for IoUs between 50% and 95%. CONCLUSIONS: The study shows that a carefully trained AI algorithm can effectively identify and delineate nasal polyps in patients with CRSwNP. Despite certain limitations like the focus on CRSwNP-specific samples, the algorithm presents a promising complementary tool to existing diagnostic methods.


Subject(s)
Artificial Intelligence , Endoscopy , Nasal Polyps , Humans , Nasal Polyps/diagnostic imaging , Nasal Polyps/diagnosis , Nasal Polyps/complications , Pilot Projects , Retrospective Studies , Endoscopy/methods , Sinusitis/diagnostic imaging , Sinusitis/diagnosis , Rhinitis/diagnosis , Rhinitis/diagnostic imaging , Algorithms , Video Recording , Chronic Disease , Male , Female , Image Processing, Computer-Assisted/methods
2.
Int J Pediatr Otorhinolaryngol ; 80: 101-5, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26746620

ABSTRACT

BACKGROUND: The origin of Dr. Clar's forehead mirror remains a mystery. The aim of this study is to track the roots of this eponym anew to find a definitive answer. METHODS: Historical, notably by the analysis of the reports of medical meetings and the content of instrument trade catalogs of the corresponding epoch. RESULTS: Konrad or Conrad Clar (1844-1904) was an Austrian balneologist and geologist particularly interested in laryngological examination. He notably invented a lighting apparatus in 1874, his famous forehead mirror in 1886, and a handgrip for laryngological instruments in 1901. CONCLUSIONS: Konrad Clar is the man behind the eponymous Dr. Clar's mirror. This study allowed to definitively confirm this statement.


Subject(s)
Eponyms , Equipment Design/history , Lighting/history , Otolaryngology/history , Austria , History, 19th Century , History, 20th Century , Humans , Lighting/instrumentation , Otolaryngology/instrumentation
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