Statistical-based modeling strategy for entrance skin dose estimation in patient undergoing body interventional radiology
Abstract Interventional radiology (IR) provides significant advancements in diagnostic and therapeutic procedures, yet concerns persist regarding radiological risks such as erythema, burns, and epilation. Direct dose measurements observed difficulties regarding the perturbation of the detector probe...
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| Veröffentlicht in: | Radiation protection dosimetry 2024-11, Vol.200 (16-18), p.1547-1553 |
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| container_title | Radiation protection dosimetry |
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| creator | Inwong, Varaporn Pong Buranurak, Siritorn Ahooja, Anucha Wongwiwatchai, Jitraporn Chaleeon, Utit Pariyashartgesorn, Sirinart Mitrayon, Leeda Dachviriyakij, Tanapol |
| description | Abstract
Interventional radiology (IR) provides significant advancements in diagnostic and therapeutic procedures, yet concerns persist regarding radiological risks such as erythema, burns, and epilation. Direct dose measurements observed difficulties regarding the perturbation of the detector probe in X-ray images during fluoroscopy-guided procedures, high-cost expenses, and non-compliant patients. This study aims to develop a statistical-based model for estimating entrance skin dose (ESD) in body IR procedures using patient radiation-dose recording data. Models are categorized into vascular and non-vascular procedures. This study demonstrates that the simplified models are sufficient in estimating patient ESDs for both IR groups, with a 95% confidence interval. This user-friendly method enables radiologists to calculate doses without complex parameters such as the backscatter factor and mass-energy absorption coefficient, as required in conventional calculation methods. It not only does this support to radiologists in effectively refining treatment protocols, but also enables patients to monitor their received doses immediately after treatment ends. |
| doi_str_mv | 10.1093/rpd/ncae101 |
| format | Article |
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Interventional radiology (IR) provides significant advancements in diagnostic and therapeutic procedures, yet concerns persist regarding radiological risks such as erythema, burns, and epilation. Direct dose measurements observed difficulties regarding the perturbation of the detector probe in X-ray images during fluoroscopy-guided procedures, high-cost expenses, and non-compliant patients. This study aims to develop a statistical-based model for estimating entrance skin dose (ESD) in body IR procedures using patient radiation-dose recording data. Models are categorized into vascular and non-vascular procedures. This study demonstrates that the simplified models are sufficient in estimating patient ESDs for both IR groups, with a 95% confidence interval. This user-friendly method enables radiologists to calculate doses without complex parameters such as the backscatter factor and mass-energy absorption coefficient, as required in conventional calculation methods. It not only does this support to radiologists in effectively refining treatment protocols, but also enables patients to monitor their received doses immediately after treatment ends.</description><identifier>ISSN: 0144-8420</identifier><identifier>ISSN: 1742-3406</identifier><identifier>EISSN: 1742-3406</identifier><identifier>DOI: 10.1093/rpd/ncae101</identifier><identifier>PMID: 39540493</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Fluoroscopy - methods ; Humans ; Models, Statistical ; Radiation Dosage ; Radiography, Interventional - methods ; Radiology, Interventional - methods ; Skin - diagnostic imaging ; Skin - radiation effects</subject><ispartof>Radiation protection dosimetry, 2024-11, Vol.200 (16-18), p.1547-1553</ispartof><rights>The Author(s) 2024. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2024</rights><rights>The Author(s) 2024. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c208t-db6e7dc48fd3dd4dec5fc2ae62838bef9d067a52a459f5e084400573dec854883</cites><orcidid>0000-0001-5081-7551</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39540493$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Inwong, Varaporn Pong</creatorcontrib><creatorcontrib>Buranurak, Siritorn</creatorcontrib><creatorcontrib>Ahooja, Anucha</creatorcontrib><creatorcontrib>Wongwiwatchai, Jitraporn</creatorcontrib><creatorcontrib>Chaleeon, Utit</creatorcontrib><creatorcontrib>Pariyashartgesorn, Sirinart</creatorcontrib><creatorcontrib>Mitrayon, Leeda</creatorcontrib><creatorcontrib>Dachviriyakij, Tanapol</creatorcontrib><title>Statistical-based modeling strategy for entrance skin dose estimation in patient undergoing body interventional radiology</title><title>Radiation protection dosimetry</title><addtitle>Radiat Prot Dosimetry</addtitle><description>Abstract
Interventional radiology (IR) provides significant advancements in diagnostic and therapeutic procedures, yet concerns persist regarding radiological risks such as erythema, burns, and epilation. Direct dose measurements observed difficulties regarding the perturbation of the detector probe in X-ray images during fluoroscopy-guided procedures, high-cost expenses, and non-compliant patients. This study aims to develop a statistical-based model for estimating entrance skin dose (ESD) in body IR procedures using patient radiation-dose recording data. Models are categorized into vascular and non-vascular procedures. This study demonstrates that the simplified models are sufficient in estimating patient ESDs for both IR groups, with a 95% confidence interval. This user-friendly method enables radiologists to calculate doses without complex parameters such as the backscatter factor and mass-energy absorption coefficient, as required in conventional calculation methods. It not only does this support to radiologists in effectively refining treatment protocols, but also enables patients to monitor their received doses immediately after treatment ends.</description><subject>Fluoroscopy - methods</subject><subject>Humans</subject><subject>Models, Statistical</subject><subject>Radiation Dosage</subject><subject>Radiography, Interventional - methods</subject><subject>Radiology, Interventional - methods</subject><subject>Skin - diagnostic imaging</subject><subject>Skin - radiation effects</subject><issn>0144-8420</issn><issn>1742-3406</issn><issn>1742-3406</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1LxDAQxYMouq6evEtOIkjdNEnb9CiLX7DgQT2XNJmWatvUpBX63zvLrh69ZDKZ33tMHiEXMbuNWS5WfrCr3miIWXxAFnEmeSQkSw_JgsVSRkpydkJOQ_hgjGd5Io_JicDCZC4WZH4d9diEsTG6jUodwNLOWWibvqZh9HqEeqaV8xR67HoDNHw2PbUuAAWUdah2PcWnAW8I0am34Gu3NSidnXE0gv_GCXK6pV7bxrWuns_IUaXbAOf7uiTvD_dv66do8_L4vL7bRIYzNUa2TCGzRqrKCmulBZNUhmtIuRKqhCq3LM10wrVM8ioBpqRkLMkEgiqRSoklud75Dt59Tbhz0TXBQNvqHtwUChFzpTieAtGbHWq8C8FDVQwef-jnImbFNusCsy72WSN9uTeeyg7sH_sbLgJXO8BNw79OPzbJjCM</recordid><startdate>20241113</startdate><enddate>20241113</enddate><creator>Inwong, Varaporn Pong</creator><creator>Buranurak, Siritorn</creator><creator>Ahooja, Anucha</creator><creator>Wongwiwatchai, Jitraporn</creator><creator>Chaleeon, Utit</creator><creator>Pariyashartgesorn, Sirinart</creator><creator>Mitrayon, Leeda</creator><creator>Dachviriyakij, Tanapol</creator><general>Oxford University Press</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>7X8</scope><orcidid>https://orcid.org/0000-0001-5081-7551</orcidid></search><sort><creationdate>20241113</creationdate><title>Statistical-based modeling strategy for entrance skin dose estimation in patient undergoing body interventional radiology</title><author>Inwong, Varaporn Pong ; Buranurak, Siritorn ; Ahooja, Anucha ; Wongwiwatchai, Jitraporn ; Chaleeon, Utit ; Pariyashartgesorn, Sirinart ; Mitrayon, Leeda ; Dachviriyakij, Tanapol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c208t-db6e7dc48fd3dd4dec5fc2ae62838bef9d067a52a459f5e084400573dec854883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Fluoroscopy - methods</topic><topic>Humans</topic><topic>Models, Statistical</topic><topic>Radiation Dosage</topic><topic>Radiography, Interventional - methods</topic><topic>Radiology, Interventional - methods</topic><topic>Skin - diagnostic imaging</topic><topic>Skin - radiation effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Inwong, Varaporn Pong</creatorcontrib><creatorcontrib>Buranurak, Siritorn</creatorcontrib><creatorcontrib>Ahooja, Anucha</creatorcontrib><creatorcontrib>Wongwiwatchai, Jitraporn</creatorcontrib><creatorcontrib>Chaleeon, Utit</creatorcontrib><creatorcontrib>Pariyashartgesorn, Sirinart</creatorcontrib><creatorcontrib>Mitrayon, Leeda</creatorcontrib><creatorcontrib>Dachviriyakij, Tanapol</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Radiation protection dosimetry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Inwong, Varaporn Pong</au><au>Buranurak, Siritorn</au><au>Ahooja, Anucha</au><au>Wongwiwatchai, Jitraporn</au><au>Chaleeon, Utit</au><au>Pariyashartgesorn, Sirinart</au><au>Mitrayon, Leeda</au><au>Dachviriyakij, Tanapol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical-based modeling strategy for entrance skin dose estimation in patient undergoing body interventional radiology</atitle><jtitle>Radiation protection dosimetry</jtitle><addtitle>Radiat Prot Dosimetry</addtitle><date>2024-11-13</date><risdate>2024</risdate><volume>200</volume><issue>16-18</issue><spage>1547</spage><epage>1553</epage><pages>1547-1553</pages><issn>0144-8420</issn><issn>1742-3406</issn><eissn>1742-3406</eissn><abstract>Abstract
Interventional radiology (IR) provides significant advancements in diagnostic and therapeutic procedures, yet concerns persist regarding radiological risks such as erythema, burns, and epilation. Direct dose measurements observed difficulties regarding the perturbation of the detector probe in X-ray images during fluoroscopy-guided procedures, high-cost expenses, and non-compliant patients. This study aims to develop a statistical-based model for estimating entrance skin dose (ESD) in body IR procedures using patient radiation-dose recording data. Models are categorized into vascular and non-vascular procedures. This study demonstrates that the simplified models are sufficient in estimating patient ESDs for both IR groups, with a 95% confidence interval. This user-friendly method enables radiologists to calculate doses without complex parameters such as the backscatter factor and mass-energy absorption coefficient, as required in conventional calculation methods. It not only does this support to radiologists in effectively refining treatment protocols, but also enables patients to monitor their received doses immediately after treatment ends.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>39540493</pmid><doi>10.1093/rpd/ncae101</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5081-7551</orcidid></addata></record> |
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| ispartof | Radiation protection dosimetry, 2024-11, Vol.200 (16-18), p.1547-1553 |
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| language | eng |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Fluoroscopy - methods Humans Models, Statistical Radiation Dosage Radiography, Interventional - methods Radiology, Interventional - methods Skin - diagnostic imaging Skin - radiation effects |
| title | Statistical-based modeling strategy for entrance skin dose estimation in patient undergoing body interventional radiology |
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