Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging
Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening I...
Gespeichert in:
| Veröffentlicht in: | Journal of biophotonics 2022-02, Vol.15 (2), p.e202100220-n/a |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | n/a |
|---|---|
| container_issue | 2 |
| container_start_page | e202100220 |
| container_title | Journal of biophotonics |
| container_volume | 15 |
| creator | Sheen, Yi‐Jing Sheu, Wayne Huey‐Herng Wang, Hsin‐Che Chen, Jun‐Peng Sun, Yi‐Hsuan Chen, Hsian‐Min |
| description | Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening Instrument (MNSI), evaluation of painful neuropathy (ID‐Pain, DN4) and sudomotor function by measuring electrochemical skin conductance (ESC). Of the 120 T2DM patients and 20 healthy adults enrolled, T2DM patients are categorized into normal sudomotor (ESC >60 μS) and sudomotor dysfunction (ESC ≤ 60 μS) groups. Spectral difference analyses reveal significant intergroup differences, whereas traditional examinations cannot distinguish between the two groups. HSI waveform reflectance gradually increases with disease severity, at 1400 to 1600 nm. The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for abnormal ESC is ≥0.8 for all four HSI methods. HSI could be an objective, sensitive, rapid, noninvasive and remote approach to identify early small‐fiber DN.
Color image, the results of MNSI (location colored red: insensate areas to 10‐gm Semmes‐Weinstein monofilament testing), spectral difference analysis image (SAM) and spectral waveform on DMF042 subject. |
| doi_str_mv | 10.1002/jbio.202100220 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2597489941</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2597489941</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3730-47481e138f38d71e69df98011af1019c8cf48b41c039242d7ca035ea5e0170d63</originalsourceid><addsrcrecordid>eNqF0LtuFDEUBmALgUgItJTIEg3NLseXHdtliLgERUoDEp3l8RxnvZob9kyi6fIIeUaeBK82LBINlW3p82-fn5DXDNYMgL_f1XFYc-D7A4cn5JTpSq6gkvrpcS9-nJAXOe8AKhAb8ZycCKmqSnFzSprznDHnDvuJDoE20dU4RU9z59r21_1DiDUm2uOchtFN24XWC51z7G9o3g5pKuLO3SKNfUguYUO3y4gpj-in5FoaO3dT7EvyLLg246vH9Yx8__Tx28WX1dX158uL86uVF0rASiqpGTKhg9CNYliZJhgNjLnAgBmvfZC6lsyDMFzyRnlX5kG3QWAKmkqckXeH3DENP2fMk-1i9ti2rsdhzpZvTHnCGMkKffsP3Q1z6svvLK-4VAa04kWtD8qnIeeEwY6pzJQWy8DuK7f7_u2x_3LhzWPsXHfYHPmfwgswB3AXW1z-E2e_fri8_hv-G6SBk-Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624790872</pqid></control><display><type>article</type><title>Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging</title><source>MEDLINE</source><source>Wiley Journals</source><creator>Sheen, Yi‐Jing ; Sheu, Wayne Huey‐Herng ; Wang, Hsin‐Che ; Chen, Jun‐Peng ; Sun, Yi‐Hsuan ; Chen, Hsian‐Min</creator><creatorcontrib>Sheen, Yi‐Jing ; Sheu, Wayne Huey‐Herng ; Wang, Hsin‐Che ; Chen, Jun‐Peng ; Sun, Yi‐Hsuan ; Chen, Hsian‐Min</creatorcontrib><description>Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening Instrument (MNSI), evaluation of painful neuropathy (ID‐Pain, DN4) and sudomotor function by measuring electrochemical skin conductance (ESC). Of the 120 T2DM patients and 20 healthy adults enrolled, T2DM patients are categorized into normal sudomotor (ESC >60 μS) and sudomotor dysfunction (ESC ≤ 60 μS) groups. Spectral difference analyses reveal significant intergroup differences, whereas traditional examinations cannot distinguish between the two groups. HSI waveform reflectance gradually increases with disease severity, at 1400 to 1600 nm. The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for abnormal ESC is ≥0.8 for all four HSI methods. HSI could be an objective, sensitive, rapid, noninvasive and remote approach to identify early small‐fiber DN.
Color image, the results of MNSI (location colored red: insensate areas to 10‐gm Semmes‐Weinstein monofilament testing), spectral difference analysis image (SAM) and spectral waveform on DMF042 subject.</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.202100220</identifier><identifier>PMID: 34766729</identifier><language>eng</language><publisher>Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA</publisher><subject>Adult ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - diagnostic imaging ; Diabetic Neuropathies - diagnostic imaging ; Diabetic neuropathy ; diabetic neuropathy (DN) ; electrochemical skin conductance (ESC) ; Electrochemistry ; Evaluation ; Foot ; Galvanic Skin Response ; Humans ; Hyperspectral Imaging ; hyperspectral imaging (HSI) ; Infrared imaging ; Medical imaging ; Pain ; short‐wave infrared (SWIR) ; type 2 diabetes mellitus (T2DM) ; Waveforms</subject><ispartof>Journal of biophotonics, 2022-02, Vol.15 (2), p.e202100220-n/a</ispartof><rights>2021 Wiley‐VCH GmbH.</rights><rights>2021 Wiley-VCH GmbH.</rights><rights>2022 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3730-47481e138f38d71e69df98011af1019c8cf48b41c039242d7ca035ea5e0170d63</citedby><cites>FETCH-LOGICAL-c3730-47481e138f38d71e69df98011af1019c8cf48b41c039242d7ca035ea5e0170d63</cites><orcidid>0000-0002-8409-3237</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.202100220$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.202100220$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34766729$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sheen, Yi‐Jing</creatorcontrib><creatorcontrib>Sheu, Wayne Huey‐Herng</creatorcontrib><creatorcontrib>Wang, Hsin‐Che</creatorcontrib><creatorcontrib>Chen, Jun‐Peng</creatorcontrib><creatorcontrib>Sun, Yi‐Hsuan</creatorcontrib><creatorcontrib>Chen, Hsian‐Min</creatorcontrib><title>Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging</title><title>Journal of biophotonics</title><addtitle>J Biophotonics</addtitle><description>Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening Instrument (MNSI), evaluation of painful neuropathy (ID‐Pain, DN4) and sudomotor function by measuring electrochemical skin conductance (ESC). Of the 120 T2DM patients and 20 healthy adults enrolled, T2DM patients are categorized into normal sudomotor (ESC >60 μS) and sudomotor dysfunction (ESC ≤ 60 μS) groups. Spectral difference analyses reveal significant intergroup differences, whereas traditional examinations cannot distinguish between the two groups. HSI waveform reflectance gradually increases with disease severity, at 1400 to 1600 nm. The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for abnormal ESC is ≥0.8 for all four HSI methods. HSI could be an objective, sensitive, rapid, noninvasive and remote approach to identify early small‐fiber DN.
Color image, the results of MNSI (location colored red: insensate areas to 10‐gm Semmes‐Weinstein monofilament testing), spectral difference analysis image (SAM) and spectral waveform on DMF042 subject.</description><subject>Adult</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - diagnostic imaging</subject><subject>Diabetic Neuropathies - diagnostic imaging</subject><subject>Diabetic neuropathy</subject><subject>diabetic neuropathy (DN)</subject><subject>electrochemical skin conductance (ESC)</subject><subject>Electrochemistry</subject><subject>Evaluation</subject><subject>Foot</subject><subject>Galvanic Skin Response</subject><subject>Humans</subject><subject>Hyperspectral Imaging</subject><subject>hyperspectral imaging (HSI)</subject><subject>Infrared imaging</subject><subject>Medical imaging</subject><subject>Pain</subject><subject>short‐wave infrared (SWIR)</subject><subject>type 2 diabetes mellitus (T2DM)</subject><subject>Waveforms</subject><issn>1864-063X</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0LtuFDEUBmALgUgItJTIEg3NLseXHdtliLgERUoDEp3l8RxnvZob9kyi6fIIeUaeBK82LBINlW3p82-fn5DXDNYMgL_f1XFYc-D7A4cn5JTpSq6gkvrpcS9-nJAXOe8AKhAb8ZycCKmqSnFzSprznDHnDvuJDoE20dU4RU9z59r21_1DiDUm2uOchtFN24XWC51z7G9o3g5pKuLO3SKNfUguYUO3y4gpj-in5FoaO3dT7EvyLLg246vH9Yx8__Tx28WX1dX158uL86uVF0rASiqpGTKhg9CNYliZJhgNjLnAgBmvfZC6lsyDMFzyRnlX5kG3QWAKmkqckXeH3DENP2fMk-1i9ti2rsdhzpZvTHnCGMkKffsP3Q1z6svvLK-4VAa04kWtD8qnIeeEwY6pzJQWy8DuK7f7_u2x_3LhzWPsXHfYHPmfwgswB3AXW1z-E2e_fri8_hv-G6SBk-Q</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Sheen, Yi‐Jing</creator><creator>Sheu, Wayne Huey‐Herng</creator><creator>Wang, Hsin‐Che</creator><creator>Chen, Jun‐Peng</creator><creator>Sun, Yi‐Hsuan</creator><creator>Chen, Hsian‐Min</creator><general>WILEY‐VCH Verlag GmbH & Co. KGaA</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SP</scope><scope>7SR</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>K9.</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8409-3237</orcidid></search><sort><creationdate>202202</creationdate><title>Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging</title><author>Sheen, Yi‐Jing ; Sheu, Wayne Huey‐Herng ; Wang, Hsin‐Che ; Chen, Jun‐Peng ; Sun, Yi‐Hsuan ; Chen, Hsian‐Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3730-47481e138f38d71e69df98011af1019c8cf48b41c039242d7ca035ea5e0170d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes Mellitus, Type 2 - diagnostic imaging</topic><topic>Diabetic Neuropathies - diagnostic imaging</topic><topic>Diabetic neuropathy</topic><topic>diabetic neuropathy (DN)</topic><topic>electrochemical skin conductance (ESC)</topic><topic>Electrochemistry</topic><topic>Evaluation</topic><topic>Foot</topic><topic>Galvanic Skin Response</topic><topic>Humans</topic><topic>Hyperspectral Imaging</topic><topic>hyperspectral imaging (HSI)</topic><topic>Infrared imaging</topic><topic>Medical imaging</topic><topic>Pain</topic><topic>short‐wave infrared (SWIR)</topic><topic>type 2 diabetes mellitus (T2DM)</topic><topic>Waveforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sheen, Yi‐Jing</creatorcontrib><creatorcontrib>Sheu, Wayne Huey‐Herng</creatorcontrib><creatorcontrib>Wang, Hsin‐Che</creatorcontrib><creatorcontrib>Chen, Jun‐Peng</creatorcontrib><creatorcontrib>Sun, Yi‐Hsuan</creatorcontrib><creatorcontrib>Chen, Hsian‐Min</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biophotonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sheen, Yi‐Jing</au><au>Sheu, Wayne Huey‐Herng</au><au>Wang, Hsin‐Che</au><au>Chen, Jun‐Peng</au><au>Sun, Yi‐Hsuan</au><au>Chen, Hsian‐Min</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging</atitle><jtitle>Journal of biophotonics</jtitle><addtitle>J Biophotonics</addtitle><date>2022-02</date><risdate>2022</risdate><volume>15</volume><issue>2</issue><spage>e202100220</spage><epage>n/a</epage><pages>e202100220-n/a</pages><issn>1864-063X</issn><eissn>1864-0648</eissn><abstract>Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening Instrument (MNSI), evaluation of painful neuropathy (ID‐Pain, DN4) and sudomotor function by measuring electrochemical skin conductance (ESC). Of the 120 T2DM patients and 20 healthy adults enrolled, T2DM patients are categorized into normal sudomotor (ESC >60 μS) and sudomotor dysfunction (ESC ≤ 60 μS) groups. Spectral difference analyses reveal significant intergroup differences, whereas traditional examinations cannot distinguish between the two groups. HSI waveform reflectance gradually increases with disease severity, at 1400 to 1600 nm. The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for abnormal ESC is ≥0.8 for all four HSI methods. HSI could be an objective, sensitive, rapid, noninvasive and remote approach to identify early small‐fiber DN.
Color image, the results of MNSI (location colored red: insensate areas to 10‐gm Semmes‐Weinstein monofilament testing), spectral difference analysis image (SAM) and spectral waveform on DMF042 subject.</abstract><cop>Weinheim</cop><pub>WILEY‐VCH Verlag GmbH & Co. KGaA</pub><pmid>34766729</pmid><doi>10.1002/jbio.202100220</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-8409-3237</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1864-063X |
| ispartof | Journal of biophotonics, 2022-02, Vol.15 (2), p.e202100220-n/a |
| issn | 1864-063X 1864-0648 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2597489941 |
| source | MEDLINE; Wiley Journals |
| subjects | Adult Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - diagnostic imaging Diabetic Neuropathies - diagnostic imaging Diabetic neuropathy diabetic neuropathy (DN) electrochemical skin conductance (ESC) Electrochemistry Evaluation Foot Galvanic Skin Response Humans Hyperspectral Imaging hyperspectral imaging (HSI) Infrared imaging Medical imaging Pain short‐wave infrared (SWIR) type 2 diabetes mellitus (T2DM) Waveforms |
| title | Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T23%3A18%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20diabetic%20small%E2%80%90fiber%20neuropathy%20by%20using%20short%E2%80%90wave%20infrared%20hyperspectral%20imaging&rft.jtitle=Journal%20of%20biophotonics&rft.au=Sheen,%20Yi%E2%80%90Jing&rft.date=2022-02&rft.volume=15&rft.issue=2&rft.spage=e202100220&rft.epage=n/a&rft.pages=e202100220-n/a&rft.issn=1864-063X&rft.eissn=1864-0648&rft_id=info:doi/10.1002/jbio.202100220&rft_dat=%3Cproquest_cross%3E2597489941%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2624790872&rft_id=info:pmid/34766729&rfr_iscdi=true |