Frontline clinical diagnosis—FTIR on pancreatic cancer
Abstract Objective 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 spe...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-08-01
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| Series: | Cancer Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/cam4.6346 |
| _version_ | 1827307652357554176 |
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| author | Edward Duckworth Matthew Mortimer Bilal Al‐Sarireh Venkateswarlu Kanamarlapudi Debdulal Roy |
| author_facet | Edward Duckworth Matthew Mortimer Bilal Al‐Sarireh Venkateswarlu Kanamarlapudi Debdulal Roy |
| author_sort | Edward Duckworth |
| collection | DOAJ |
| description | Abstract Objective 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. Results 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. |
| first_indexed | 2024-03-12T00:55:12Z |
| format | Article |
| id | doaj.art-7475a4ec031c474399d575fe57747260 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-04-24T18:43:13Z |
| publishDate | 2023-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-7475a4ec031c474399d575fe577472602024-03-27T09:11:00ZengWileyCancer Medicine2045-76342023-08-011216173401734510.1002/cam4.6346Frontline clinical diagnosis—FTIR on pancreatic cancerEdward Duckworth0Matthew Mortimer1Bilal Al‐Sarireh2Venkateswarlu Kanamarlapudi3Debdulal Roy4Swansea University Swansea Wales UKMorriston Hospital Morriston Wales UKMorriston Hospital Morriston Wales UKSwansea University Swansea Wales UKSwansea University Swansea Wales UKAbstract Objective 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. Results 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.https://doi.org/10.1002/cam4.6346biomarkercancerdiagnosisFTIRpancreaticPCA |
| spellingShingle | Edward Duckworth Matthew Mortimer Bilal Al‐Sarireh Venkateswarlu Kanamarlapudi Debdulal Roy Frontline clinical diagnosis—FTIR on pancreatic cancer Cancer Medicine biomarker cancer diagnosis FTIR pancreatic PCA |
| title | Frontline clinical diagnosis—FTIR on pancreatic cancer |
| title_full | Frontline clinical diagnosis—FTIR on pancreatic cancer |
| title_fullStr | Frontline clinical diagnosis—FTIR on pancreatic cancer |
| title_full_unstemmed | Frontline clinical diagnosis—FTIR on pancreatic cancer |
| title_short | Frontline clinical diagnosis—FTIR on pancreatic cancer |
| title_sort | frontline clinical diagnosis ftir on pancreatic cancer |
| topic | biomarker cancer diagnosis FTIR pancreatic PCA |
| url | https://doi.org/10.1002/cam4.6346 |
| work_keys_str_mv | AT edwardduckworth frontlineclinicaldiagnosisftironpancreaticcancer AT matthewmortimer frontlineclinicaldiagnosisftironpancreaticcancer AT bilalalsarireh frontlineclinicaldiagnosisftironpancreaticcancer AT venkateswarlukanamarlapudi frontlineclinicaldiagnosisftironpancreaticcancer AT debdulalroy frontlineclinicaldiagnosisftironpancreaticcancer |