Estimating pediatric entrance skin dose from digital radiography examination using DICOM metadata: A quality assurance tool
Purpose: To develop an automated methodology to estimate patient examination dose in digital radiography (DR) imaging using DICOM metadata as a quality assurance (QA) tool. Methods: Patient examination and demographical information were gathered from metadata analysis of DICOM header data. The x‐ray...
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description | Purpose:
To develop an automated methodology to estimate patient examination dose in digital radiography (DR) imaging using DICOM metadata as a quality assurance (QA) tool.
Methods:
Patient examination and demographical information were gathered from metadata analysis of DICOM header data. The x‐ray system radiation output (i.e., air KERMA) was characterized for all filter combinations used for patient examinations. Average patient thicknesses were measured for head, chest, abdomen, knees, and hands using volumetric images from CT. Backscatter factors (BSFs) were calculated from examination kVp. Patient entrance skin air KERMA (ESAK) was calculated by (1) looking up examination technique factors taken from DICOM header metadata (i.e., kVp and mA s) to derive an air KERMA (kair) value based on an x‐ray characteristic radiation output curve; (2) scaling kair with a BSF value; and (3) correcting kair for patient thickness. Finally, patient entrance skin dose (ESD) was calculated by multiplying a mass–energy attenuation coefficient ratio by ESAK. Patient ESD calculations were computed for common DR examinations at our institution: dual view chest, anteroposterior (AP) abdomen, lateral (LAT) skull, dual view knee, and bone age (left hand only) examinations.
Results:
ESD was calculated for a total of 3794 patients; mean age was 11 ± 8 yr (range: 2 months to 55 yr). The mean ESD range was 0.19–0.42 mGy for dual view chest, 0.28–1.2 mGy for AP abdomen, 0.18–0.65 mGy for LAT view skull, 0.15–0.63 mGy for dual view knee, and 0.10–0.12 mGy for bone age (left hand) examinations.
Conclusions:
A methodology combining DICOM header metadata and basic x‐ray tube characterization curves was demonstrated. In a regulatory era where patient dose reporting has become increasingly in demand, this methodology will allow a knowledgeable user the means to establish an automatable dose reporting program for DR and perform patient dose related QA testing for digital x‐ray imaging. |
doi_str_mv | 10.1118/1.4918324 |
format | Article |
fullrecord | <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_22413558</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1681911847</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3514-a4e2a7abb0ff0ba889992a49da2f776ad75103511ea8854200b871797c30bd103</originalsourceid><addsrcrecordid>eNp1kcFO3DAURa2qFUwHFv2BylI3sAi1HWccd4emFJBAsGjX1ovtDG4Te7AdlRE_X0Om3XX1Fu_oSPdehD5QckYpbT_TMy5pWzP-Bi0YF3XFGZFv0YIQySvGSXOI3qf0kxCyqhtygA5ZI4UknC3Q80XKboTs_AZvrXGQo9PY-hzBa4vTL-exCcniPoYRG7dxGQYcwbiwibB92GH7BKPzxRA8ntKL5-v1-u4WjzaDgQxf8Dl-nGBweYchpWkW5xCGI_SuhyHZ4_1doh_fLr6vr6qbu8vr9flNpeuG8gq4ZSCg60jfkw7aVkrJgEsDrBdiBUY0lBSS2vJrSnTStYIKKXRNOlNeS_Rp9oaSVSXtstUPOnhvdVaMcVo3TVuok5naxvA42ZTV6JK2wwDehikpumqpLG2XfpfodEZ1DClF26ttLCXGnaJEvSyiqNovUtiPe-3Ujdb8I_9OUIBqBn67we7-b1K396_CPwDSkzM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1681911847</pqid></control><display><type>article</type><title>Estimating pediatric entrance skin dose from digital radiography examination using DICOM metadata: A quality assurance tool</title><source>MEDLINE</source><source>Access via Wiley Online Library</source><source>Alma/SFX Local Collection</source><creator>Brady, S. L. ; Kaufman, R. A.</creator><creatorcontrib>Brady, S. L. ; Kaufman, R. A.</creatorcontrib><description>Purpose:
To develop an automated methodology to estimate patient examination dose in digital radiography (DR) imaging using DICOM metadata as a quality assurance (QA) tool.
Methods:
Patient examination and demographical information were gathered from metadata analysis of DICOM header data. The x‐ray system radiation output (i.e., air KERMA) was characterized for all filter combinations used for patient examinations. Average patient thicknesses were measured for head, chest, abdomen, knees, and hands using volumetric images from CT. Backscatter factors (BSFs) were calculated from examination kVp. Patient entrance skin air KERMA (ESAK) was calculated by (1) looking up examination technique factors taken from DICOM header metadata (i.e., kVp and mA s) to derive an air KERMA (kair) value based on an x‐ray characteristic radiation output curve; (2) scaling kair with a BSF value; and (3) correcting kair for patient thickness. Finally, patient entrance skin dose (ESD) was calculated by multiplying a mass–energy attenuation coefficient ratio by ESAK. Patient ESD calculations were computed for common DR examinations at our institution: dual view chest, anteroposterior (AP) abdomen, lateral (LAT) skull, dual view knee, and bone age (left hand only) examinations.
Results:
ESD was calculated for a total of 3794 patients; mean age was 11 ± 8 yr (range: 2 months to 55 yr). The mean ESD range was 0.19–0.42 mGy for dual view chest, 0.28–1.2 mGy for AP abdomen, 0.18–0.65 mGy for LAT view skull, 0.15–0.63 mGy for dual view knee, and 0.10–0.12 mGy for bone age (left hand) examinations.
Conclusions:
A methodology combining DICOM header metadata and basic x‐ray tube characterization curves was demonstrated. In a regulatory era where patient dose reporting has become increasingly in demand, this methodology will allow a knowledgeable user the means to establish an automatable dose reporting program for DR and perform patient dose related QA testing for digital x‐ray imaging.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4918324</identifier><identifier>PMID: 25979042</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>60 APPLIED LIFE SCIENCES ; ABDOMEN ; Adolescent ; Adult ; Biological material, e.g. blood, urine; Haemocytometers ; bone ; Bone and Bones - diagnostic imaging ; CHEST ; Child ; Child, Preschool ; Computed radiography ; Computed tomography ; Computerised tomographs ; computerised tomography ; deviation index ; diagnostic radiography ; DICOM ; Digital radiography ; Dose‐volume analysis ; dosimetry ; Dosimetry/exposure assessment ; entrance skin dose ; Hand - diagnostic imaging ; HEAD ; Humans ; Image analysis ; Infant ; KERMA ; Knee - diagnostic imaging ; Metadata ; Middle Aged ; PATIENTS ; Pattern Recognition, Automated - methods ; PEDIATRICS ; QUALITY ASSURANCE ; Quality Assurance, Health Care - methods ; Radiation Dosage ; RADIATION DOSES ; Radiography - methods ; Radiography, Abdominal - methods ; Radiography, Thoracic - methods ; Scattering, Radiation ; Scintigraphy ; SKIN ; Skin - diagnostic imaging ; Skin - radiation effects ; Skull - diagnostic imaging ; Tissues ; X RADIATION ; X-Rays ; X‐ray imaging ; Young Adult</subject><ispartof>Medical physics (Lancaster), 2015-05, Vol.42 (5), p.2489-2497</ispartof><rights>2015 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3514-a4e2a7abb0ff0ba889992a49da2f776ad75103511ea8854200b871797c30bd103</citedby><cites>FETCH-LOGICAL-c3514-a4e2a7abb0ff0ba889992a49da2f776ad75103511ea8854200b871797c30bd103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.4918324$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4918324$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25979042$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/22413558$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Brady, S. L.</creatorcontrib><creatorcontrib>Kaufman, R. A.</creatorcontrib><title>Estimating pediatric entrance skin dose from digital radiography examination using DICOM metadata: A quality assurance tool</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose:
To develop an automated methodology to estimate patient examination dose in digital radiography (DR) imaging using DICOM metadata as a quality assurance (QA) tool.
Methods:
Patient examination and demographical information were gathered from metadata analysis of DICOM header data. The x‐ray system radiation output (i.e., air KERMA) was characterized for all filter combinations used for patient examinations. Average patient thicknesses were measured for head, chest, abdomen, knees, and hands using volumetric images from CT. Backscatter factors (BSFs) were calculated from examination kVp. Patient entrance skin air KERMA (ESAK) was calculated by (1) looking up examination technique factors taken from DICOM header metadata (i.e., kVp and mA s) to derive an air KERMA (kair) value based on an x‐ray characteristic radiation output curve; (2) scaling kair with a BSF value; and (3) correcting kair for patient thickness. Finally, patient entrance skin dose (ESD) was calculated by multiplying a mass–energy attenuation coefficient ratio by ESAK. Patient ESD calculations were computed for common DR examinations at our institution: dual view chest, anteroposterior (AP) abdomen, lateral (LAT) skull, dual view knee, and bone age (left hand only) examinations.
Results:
ESD was calculated for a total of 3794 patients; mean age was 11 ± 8 yr (range: 2 months to 55 yr). The mean ESD range was 0.19–0.42 mGy for dual view chest, 0.28–1.2 mGy for AP abdomen, 0.18–0.65 mGy for LAT view skull, 0.15–0.63 mGy for dual view knee, and 0.10–0.12 mGy for bone age (left hand) examinations.
Conclusions:
A methodology combining DICOM header metadata and basic x‐ray tube characterization curves was demonstrated. In a regulatory era where patient dose reporting has become increasingly in demand, this methodology will allow a knowledgeable user the means to establish an automatable dose reporting program for DR and perform patient dose related QA testing for digital x‐ray imaging.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>ABDOMEN</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>bone</subject><subject>Bone and Bones - diagnostic imaging</subject><subject>CHEST</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Computed radiography</subject><subject>Computed tomography</subject><subject>Computerised tomographs</subject><subject>computerised tomography</subject><subject>deviation index</subject><subject>diagnostic radiography</subject><subject>DICOM</subject><subject>Digital radiography</subject><subject>Dose‐volume analysis</subject><subject>dosimetry</subject><subject>Dosimetry/exposure assessment</subject><subject>entrance skin dose</subject><subject>Hand - diagnostic imaging</subject><subject>HEAD</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Infant</subject><subject>KERMA</subject><subject>Knee - diagnostic imaging</subject><subject>Metadata</subject><subject>Middle Aged</subject><subject>PATIENTS</subject><subject>Pattern Recognition, Automated - methods</subject><subject>PEDIATRICS</subject><subject>QUALITY ASSURANCE</subject><subject>Quality Assurance, Health Care - methods</subject><subject>Radiation Dosage</subject><subject>RADIATION DOSES</subject><subject>Radiography - methods</subject><subject>Radiography, Abdominal - methods</subject><subject>Radiography, Thoracic - methods</subject><subject>Scattering, Radiation</subject><subject>Scintigraphy</subject><subject>SKIN</subject><subject>Skin - diagnostic imaging</subject><subject>Skin - radiation effects</subject><subject>Skull - diagnostic imaging</subject><subject>Tissues</subject><subject>X RADIATION</subject><subject>X-Rays</subject><subject>X‐ray imaging</subject><subject>Young Adult</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kcFO3DAURa2qFUwHFv2BylI3sAi1HWccd4emFJBAsGjX1ovtDG4Te7AdlRE_X0Om3XX1Fu_oSPdehD5QckYpbT_TMy5pWzP-Bi0YF3XFGZFv0YIQySvGSXOI3qf0kxCyqhtygA5ZI4UknC3Q80XKboTs_AZvrXGQo9PY-hzBa4vTL-exCcniPoYRG7dxGQYcwbiwibB92GH7BKPzxRA8ntKL5-v1-u4WjzaDgQxf8Dl-nGBweYchpWkW5xCGI_SuhyHZ4_1doh_fLr6vr6qbu8vr9flNpeuG8gq4ZSCg60jfkw7aVkrJgEsDrBdiBUY0lBSS2vJrSnTStYIKKXRNOlNeS_Rp9oaSVSXtstUPOnhvdVaMcVo3TVuok5naxvA42ZTV6JK2wwDehikpumqpLG2XfpfodEZ1DClF26ttLCXGnaJEvSyiqNovUtiPe-3Ujdb8I_9OUIBqBn67we7-b1K396_CPwDSkzM</recordid><startdate>201505</startdate><enddate>201505</enddate><creator>Brady, S. L.</creator><creator>Kaufman, R. A.</creator><general>American Association of Physicists in Medicine</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><scope>OTOTI</scope></search><sort><creationdate>201505</creationdate><title>Estimating pediatric entrance skin dose from digital radiography examination using DICOM metadata: A quality assurance tool</title><author>Brady, S. L. ; Kaufman, R. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3514-a4e2a7abb0ff0ba889992a49da2f776ad75103511ea8854200b871797c30bd103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>ABDOMEN</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>bone</topic><topic>Bone and Bones - diagnostic imaging</topic><topic>CHEST</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Computed radiography</topic><topic>Computed tomography</topic><topic>Computerised tomographs</topic><topic>computerised tomography</topic><topic>deviation index</topic><topic>diagnostic radiography</topic><topic>DICOM</topic><topic>Digital radiography</topic><topic>Dose‐volume analysis</topic><topic>dosimetry</topic><topic>Dosimetry/exposure assessment</topic><topic>entrance skin dose</topic><topic>Hand - diagnostic imaging</topic><topic>HEAD</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Infant</topic><topic>KERMA</topic><topic>Knee - diagnostic imaging</topic><topic>Metadata</topic><topic>Middle Aged</topic><topic>PATIENTS</topic><topic>Pattern Recognition, Automated - methods</topic><topic>PEDIATRICS</topic><topic>QUALITY ASSURANCE</topic><topic>Quality Assurance, Health Care - methods</topic><topic>Radiation Dosage</topic><topic>RADIATION DOSES</topic><topic>Radiography - methods</topic><topic>Radiography, Abdominal - methods</topic><topic>Radiography, Thoracic - methods</topic><topic>Scattering, Radiation</topic><topic>Scintigraphy</topic><topic>SKIN</topic><topic>Skin - diagnostic imaging</topic><topic>Skin - radiation effects</topic><topic>Skull - diagnostic imaging</topic><topic>Tissues</topic><topic>X RADIATION</topic><topic>X-Rays</topic><topic>X‐ray imaging</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brady, S. L.</creatorcontrib><creatorcontrib>Kaufman, R. A.</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><collection>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brady, S. L.</au><au>Kaufman, R. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating pediatric entrance skin dose from digital radiography examination using DICOM metadata: A quality assurance tool</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2015-05</date><risdate>2015</risdate><volume>42</volume><issue>5</issue><spage>2489</spage><epage>2497</epage><pages>2489-2497</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>Purpose:
To develop an automated methodology to estimate patient examination dose in digital radiography (DR) imaging using DICOM metadata as a quality assurance (QA) tool.
Methods:
Patient examination and demographical information were gathered from metadata analysis of DICOM header data. The x‐ray system radiation output (i.e., air KERMA) was characterized for all filter combinations used for patient examinations. Average patient thicknesses were measured for head, chest, abdomen, knees, and hands using volumetric images from CT. Backscatter factors (BSFs) were calculated from examination kVp. Patient entrance skin air KERMA (ESAK) was calculated by (1) looking up examination technique factors taken from DICOM header metadata (i.e., kVp and mA s) to derive an air KERMA (kair) value based on an x‐ray characteristic radiation output curve; (2) scaling kair with a BSF value; and (3) correcting kair for patient thickness. Finally, patient entrance skin dose (ESD) was calculated by multiplying a mass–energy attenuation coefficient ratio by ESAK. Patient ESD calculations were computed for common DR examinations at our institution: dual view chest, anteroposterior (AP) abdomen, lateral (LAT) skull, dual view knee, and bone age (left hand only) examinations.
Results:
ESD was calculated for a total of 3794 patients; mean age was 11 ± 8 yr (range: 2 months to 55 yr). The mean ESD range was 0.19–0.42 mGy for dual view chest, 0.28–1.2 mGy for AP abdomen, 0.18–0.65 mGy for LAT view skull, 0.15–0.63 mGy for dual view knee, and 0.10–0.12 mGy for bone age (left hand) examinations.
Conclusions:
A methodology combining DICOM header metadata and basic x‐ray tube characterization curves was demonstrated. In a regulatory era where patient dose reporting has become increasingly in demand, this methodology will allow a knowledgeable user the means to establish an automatable dose reporting program for DR and perform patient dose related QA testing for digital x‐ray imaging.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>25979042</pmid><doi>10.1118/1.4918324</doi><tpages>9</tpages></addata></record> |
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subjects | 60 APPLIED LIFE SCIENCES ABDOMEN Adolescent Adult Biological material, e.g. blood, urine Haemocytometers bone Bone and Bones - diagnostic imaging CHEST Child Child, Preschool Computed radiography Computed tomography Computerised tomographs computerised tomography deviation index diagnostic radiography DICOM Digital radiography Dose‐volume analysis dosimetry Dosimetry/exposure assessment entrance skin dose Hand - diagnostic imaging HEAD Humans Image analysis Infant KERMA Knee - diagnostic imaging Metadata Middle Aged PATIENTS Pattern Recognition, Automated - methods PEDIATRICS QUALITY ASSURANCE Quality Assurance, Health Care - methods Radiation Dosage RADIATION DOSES Radiography - methods Radiography, Abdominal - methods Radiography, Thoracic - methods Scattering, Radiation Scintigraphy SKIN Skin - diagnostic imaging Skin - radiation effects Skull - diagnostic imaging Tissues X RADIATION X-Rays X‐ray imaging Young Adult |
title | Estimating pediatric entrance skin dose from digital radiography examination using DICOM metadata: A quality assurance tool |
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