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Methods: A novel, affordable, non-invasive approach combines infrared spectroscopy measurement precision with machine-learning classification. Results: Using urine and blood from pancreatic cancer patients and healthy volunteers, diagnosis accuracy reached up to 90%. Performance improved by targeting “sweet-spots” in blood plasma fractions containing molecules within a narrow molecular-weight range.",{"@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/frontline-clinical-diagnosis-ftir-on-pancreatic-cancer/379243/",{"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/frontline-clinical-diagnosis-ftir-on-pancreatic-cancer/379243.png","ImageObject",300,407,{"name":92,"@type":93},"Đào","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-09-24",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What diagnostic approach does the study propose for pancreatic cancer?","Question",{"text":112,"@type":113},"The study develops a novel, affordable, non-invasive method that combines infrared spectroscopy measurements with machine-learning classification.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the diagnostic performance evaluated and what accuracy was achieved?",{"text":117,"@type":113},"Urine and blood samples from pancreatic cancer patients and healthy volunteers were analyzed. Diagnosis accuracy reached up to 90%.",{"name":119,"@type":110,"acceptedAnswer":120},"Why does focusing on specific molecular-weight ranges improve accuracy?",{"text":121,"@type":113},"Accuracy improved by targeting “sweet-spots” within blood plasma fractions that contain molecules within a narrow molecular-weight range.","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},379243,1790673202,{"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":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"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},1374402968488,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","DOI: 10. 1002/cam4 .6346  \nRESEAR CH ARTICLE  \nFrontline clinical diagnosis—FTIR on pancreatic cancer  \nEdward Duckworth1  | Matthew Mortimer2 | Bilal Al-Sarireh2 | Venkateswarlu Kanamarlapudi1  | Debdulal Roy1   \n1Swansea University, Swansea, Wales, UK  \n2Morriston Hospital, Morriston, Wales, UK  \nCorrespondence  \nEdward Duckworth and Debdulal Roy, Swansea University, Singleton Park,  \nSwansea SA28PP, Wales, UK.  \nEmail: edward.duckworth@swansea.  \nac.uk and [deb.roy@swansea.ac.uk](deb.roy@swansea.ac.uk)  \nFunding information  \nEngineering and Physical Sciences Research Council; Horizon 2020 Framework Programme  \n1 | INTRODUCTION  \nAbstract  \nObjective: Accurate, easily accessible and economically viable cancer diagnostic tools are pivotal in improving the abysmal 5% survival rate of pancreatic cancer. Methods: A novel, affordable, non-invasive diagnostic method has been developed by combining measurement precision of infrared spectroscopy with classification using machine learning tools.  \nResults: Diagnosis accuracy as high as 90% has been achieved. The study investigated urine and blood from pancreas cancer patients and healthy volunteers, and significantly improved accuracy by focusing on sweet-spots within blood plasma fractions containing molecules within a narrow range of molecular weights.  \nKEYWORDS  \nbiomarker, cancer, diagnosis, FTIR, pancreatic, PCA, spectroscopy, SVM  \nspectroscopy technique that can provide the solution? By comparing a scan of an unknown sample with an organ-  \nPancreatic cancer is one of the most deadly cancers in the UK,1 the 5-years survival rate remaining below 10% .2 Nearly half of people born in England since 1960 will receive a cancer diagnosis in their lifetime.3 This is mostly due to that it is hard to detect early. This cancer is very suitable for investigation as this type of hidden cancer requires the most diagnostic aid, as it is unlikely to be easily diagnosed by any other means as notable symptoms (e.g. abdominal pain and jaundice) typically only occur once the cancer has reached a late stage.2 The best way to improve the survival rate, and also thereby reduce the treatment costs,3 is to have a viable method of effectively screening for the condition early in its onset. Screening has been proven to be effective on other cancers in the UK.4 An effective screening method needs to be fast, affordable, non-invasive and simple enough to not require a clinician at all stages.5 This raises the question: is there a bio-fluid  \nised database of known healthy and cancerous samples, spectral biomarkers can be used to determine whether there is an affliction.5–7  \nBlood plasma is a particularly useful bio-fluid for inspection due to its high protein and lipid concentration.6,8  \nVibrational spectroscopy as a potential method to diagnose cancerous patients has been frequently explored over the past decades, utilising many varied methodologies.6,8–10 Figure 1 compares the laboratory-based vibrational spectroscopy methods with commonly used mammogram and magnetic resonance imaging (MRI) . There is excellent potential in this field of research to produce an accurate, non-invasive detection method when used to analyse key human biofluids like blood, saliva or urine.  \nReviews on the recent literature highlighted that promising research had already been done on pancreatic cancer, concluding that FTIR was of most use of clinical  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  \n© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.  \nFIGURE 1 Summary of cancer diagnostic techniques. Highlighted by circles, Pancreatic cancer work (shown as ■) and oral cancer work (shown as ▲) on plasma are from our research group on 74 pancreatic and 120 oral cancer patients.15 Raman data are also from our own research on 90 patients' serum, thoug","cbCaihD7pF9Cq0ZH","https://ap.wps.com/l/cbCaihD7pF9Cq0ZH","pdf",720684,"English","# Introduction\n## Study objective and methods\n## Results and key findings\n## Background on pancreatic cancer and screening need\n## Role of vibrational spectroscopy and FTIR","[{\"question\":\"What diagnostic approach does the study propose for pancreatic cancer?\",\"answer\":\"The study develops a novel, affordable, non-invasive method that combines infrared spectroscopy measurements with machine-learning classification.\"},{\"question\":\"How was the diagnostic performance evaluated and what accuracy was achieved?\",\"answer\":\"Urine and blood samples from pancreatic cancer patients and healthy volunteers were analyzed. Diagnosis accuracy reached up to 90%.\"},{\"question\":\"Why does focusing on specific molecular-weight ranges improve accuracy?\",\"answer\":\"Accuracy improved by targeting “sweet-spots” within blood plasma fractions that contain molecules within a narrow molecular-weight range.\"}]","Frontline clinical diagnosis - FTIR on pancreatic cancer | PDF",1790234718,15]