[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-329862-105":59,"doc-detail-329862-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","differentiation-of-tumors-of-the-upper-respiratory-tract-using-optical-metabolic-imaging","Differentiation of Tumors of the Upper Respiratory Tract Using Optical Metabolic Imaging","","Malignancies of the larynx represent a major global health burden, and current screening lacks an onsite method for immediate diagnosis. Delayed identification worsens outcomes, especially for suspicious mucosal lesions in the upper aerodigestive tract (UADT). Optical metabolic imaging (OMI) targets metabolic differences by measuring NAD(P)H and FAD redox-related signals to enable differentiation between healthy, dysplastic, and cancerous tissue.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/differentiation-of-tumors-of-the-upper-respiratory-tract-using-optical-metabolic-imaging/329862/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/differentiation-of-tumors-of-the-upper-respiratory-tract-using-optical-metabolic-imaging/329862.png","ImageObject",300,407,{"name":92,"@type":93},"Valentina","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the study address in diagnosing UADT tumors?","Question",{"text":112,"@type":113},"Malignancies of the larynx are common and screening methods for onsite diagnosis are missing, which can delay diagnosis. The work aims to enable direct differentiation of healthy, dysplastic, and cancerous tissue during endoscopy.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does optical metabolic imaging (OMI) differentiate tissue types in this research?",{"text":117,"@type":113},"The approach uses optical metabolic imaging based on measuring fluorescence lifetime features related to NAD(P)H and FAD redox pairs. These features reflect different cellular metabolic states in healthy versus tumor cells.",{"name":119,"@type":110,"acceptedAnswer":120},"What were the key findings regarding the most informative metabolic index?",{"text":121,"@type":113},"Indices derived from NAD(P)H and FAD fluorescence lifetime data enabled statistical differentiation among healthy tissue, benign lesions, dysplastic tissue, and cancer tissue. The fluorescence lifetime redox ratio (FLIRR) showed the most significant differences across tissue types.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},329862,1790061885,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":34,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},13056703020460,"https://ap-avatar.wpscdn.com/avatar/be000253dac470eee5d?_k=1778207105932848923","Lasers in Surgery and Medicine  \n CLINICAL REPORT   \nDifferentiation of Tumors ofthe Upper Respiratory Tract Using Optical Metabolic Imaging  \nDennis Eggert1  | David Gaertner1 | Adrian Rühm2 | Ronald Sroka2 | Christoph Arens3,4 | Nikolaos Davaris3,4 | Konrad Birkmeier5 | Andreas Brodschelm5 | Patrick Leisching5,6 | Hauke Studier7 | Wolfgang Becker7 | Karsten König8 | Christan S. Betz1  \n1Clinic and Polyclinic for Otolaryngology, University Medical Center Hamburg‐Eppendorf, Hamburg, Germany | 2Department of Urology, Laser‐ Forschungslabor, LIFE Center, University Hospital, Planegg, Germany | 3University Clinic of Otolaryngology, Head and Neck Surgery, Otto von Guericke University Magdeburg, Magdeburg, Germany | 4Clinic for Otolaryngology, University Hospital of Giessen and Marburg, Baldingerstraße,  \nGermany | 5TOPTICA Photonics AG Lochhamer Schlag, Gräfelfing, Germany | 6iThera Medical GmbH, München, Germany | 7Becker & Hickl GmbH,  \nBerlin, Germany | 8JenLab GmbH, Berlin, Germany Correspondence: Dennis Eggert ([d.eggert@uke.de](d.eggert@uke.de))  \nReceived: 22 April 2024 | Revised: 26 October 2024 | Accepted: 29 November 2024  \nFunding: This work was funded by the Federal Ministry of Education and Research of Germany (grant ID: 13N14509) .  \nKeywords: endoscopy | fluorescence lifetime imaging | head and neck cancer | optical biopsy | optical metabolic imaging  \nABSTRACT  \nObjectives: With over 184,000 new cases and more than 99,000 deaths per year, malignancies of the larynx are a global health problem. Currently, a dedicated screening method enabling a direct onsite diagnosis is missing. This can lead to delayed diagnosis and worse outcomes of the patients. An endoscopic optical method enabling a direct distinction between healthy tissue, dysplastic tissue and cancerous tissue would be an ideal tool for the detection of tumors of the upper aerodigestive tract (UADT) . Healthy and tumor cells differ significantly in their metabolic state due to the different metabolic pathways they use (more oxidative phosphorylation in healthy cells, more glycolysis in tumor cells) . Optical metabolic imaging (OMI) measuring relative intracellular concentration of NAD(P)H and FAD redox pairs could be a promising approach for early tumor detection and differentiation of suspicious mucosal lesions.  \nMethods: In this study, a specially designed endoscopic two‐beam two‐photon fluorescence lifetime imaging (FLIM) system was used to perform two‐photon two‐beam FLIM of NAD(P)H and FAD to image the metabolic state in different tissue samples of the UADT. FLIM data sets of 27 tissue samples from 16 patients were recorded directly after surgery ex vivo in a special tissue culture medium at 37°C on a dedicated microscope using multiphoton excitation.  \nResults: Based on the FLIM measurements of NAD(P)H and FAD, six of the most common indices for the characterization of the cells' metabolism were calculated. Three of them, the ratio of the exponential coefficients (amplitudes) of the short and long lifetime components both for NAD(P)H and FAD (NAD(P)H a1/a2 ratio and FAD a1/a2 ratio) and the fluorescence lifetime redox ratio (FLIRR) enabled differentiation between healthy tissue, benign lesions, dysplastic tissue, and cancer tissue with statistical significance.  \nConclusions: We showed by measurements on freshly collected tissue samples that mucosal lesions of the UADT can be differentiated using our newly designed endoscopic FLIM device. In vivo measurements in healthy volunteers were also possible. By means of this technology, differentiation of cancerous, pre‐cancerous, and healthy tissue in the UADT by OMI could be possible. Of six indices used to characterize cell metabolism we calculated, the FLIRR showed the most significant differences between tissue types.  \nThis is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original","cbCaimrCDPSVdows","https://ap.wps.com/l/cbCaimrCDPSVdows","pdf",735034,"English","# Abstract\n## Objectives\n## Methods\n## Results\n## Conclusions\n# Introduction","[{\"question\":\"What problem does the study address in diagnosing UADT tumors?\",\"answer\":\"Malignancies of the larynx are common and screening methods for onsite diagnosis are missing, which can delay diagnosis. The work aims to enable direct differentiation of healthy, dysplastic, and cancerous tissue during endoscopy.\"},{\"question\":\"How does optical metabolic imaging (OMI) differentiate tissue types in this research?\",\"answer\":\"The approach uses optical metabolic imaging based on measuring fluorescence lifetime features related to NAD(P)H and FAD redox pairs. These features reflect different cellular metabolic states in healthy versus tumor cells.\"},{\"question\":\"What were the key findings regarding the most informative metabolic index?\",\"answer\":\"Indices derived from NAD(P)H and FAD fluorescence lifetime data enabled statistical differentiation among healthy tissue, benign lesions, dysplastic tissue, and cancer tissue. The fluorescence lifetime redox ratio (FLIRR) showed the most significant differences across tissue types.\"}]","Differentiation of Tumors of the Upper Respiratory Tract Using Optical Metabolic Imaging | PDF",1789985899,18]