256-MDCT for evaluation of urolithiasis: Iterative reconstruction allows for a significant reduction of the applied radiation dose while maintaining high subjective and objective image quality
Purpose Multidetector CT (MDCT) is the established imaging modality in diagnostics of urolithiasis. The aim of iterative reconstruction (IR) is to allow for a radiation dose reduction while maintaining high image quality. This study evaluates its performance in MDCT for assessment of urolithiasis. M...
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Veröffentlicht in: | Journal of medical imaging and radiation oncology 2014-06, Vol.58 (3), p.283-290 |
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creator | Veldhoen, Simon Laqmani, Azien Derlin, Thorsten Karul, Murat Hammerle, Diego Buhk, Jan-Hendrik Sehner, Susanne Nagel, Hans D. Chun, Felix Adam, Gerhard Regier, Marc |
description | Purpose
Multidetector CT (MDCT) is the established imaging modality in diagnostics of urolithiasis. The aim of iterative reconstruction (IR) is to allow for a radiation dose reduction while maintaining high image quality. This study evaluates its performance in MDCT for assessment of urolithiasis.
Materials and Methods
Fifty‐two patients underwent non‐contrast abdominal MDCT. Twenty‐six patients were referred to MDCT under suspicion of urolithiasis, and examined using a dose‐reduced scan protocol (RDCT). Twenty‐six patients, who had undergone standard‐dose MDCT, served as reference for radiation dose comparison. RDCT images were reconstructed using an IR system (iDose4™, Philips Healthcare, Cleveland, OH, USA). Objective image noise (OIN) was recorded and five radiologists rated the subjective image quality independently. Radiation parameters were derived from the scan protocols.
Results
The CTDIvol could be reduced by 50% to 5.8 mGy (P |
doi_str_mv | 10.1111/1754-9485.12159 |
format | Article |
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Multidetector CT (MDCT) is the established imaging modality in diagnostics of urolithiasis. The aim of iterative reconstruction (IR) is to allow for a radiation dose reduction while maintaining high image quality. This study evaluates its performance in MDCT for assessment of urolithiasis.
Materials and Methods
Fifty‐two patients underwent non‐contrast abdominal MDCT. Twenty‐six patients were referred to MDCT under suspicion of urolithiasis, and examined using a dose‐reduced scan protocol (RDCT). Twenty‐six patients, who had undergone standard‐dose MDCT, served as reference for radiation dose comparison. RDCT images were reconstructed using an IR system (iDose4™, Philips Healthcare, Cleveland, OH, USA). Objective image noise (OIN) was recorded and five radiologists rated the subjective image quality independently. Radiation parameters were derived from the scan protocols.
Results
The CTDIvol could be reduced by 50% to 5.8 mGy (P < 0.0001). The same reduction was achieved for DLP and effective dose to 253 ± 27 mGy*cm (P < 0.0001) and 3.9 ± 0.4 mSv (P < 0.0001). IR led to a reduction of the OIN of up to 61% compared with classic filtered back projection (FBP) (P < 0.0001). The OIN declined with increasing IR levels. RDCT with FBP showed the lowest scores of subjective image quality (2.32 ± 0.04). Mean scores improved with increasing IR levels. iDose6 was rated with the best mean score (3.66 ± 0.04).
Conclusion
The evaluated IR‐tool and protocol may be applied to achieve a considerable radiation dose reduction in MDCT for diagnostics of urolithiasis while maintaining a confident image quality. Best image quality, suitable for evaluation of the entire abdomen concerning differential diagnoses, was achieved with iDose6.</description><identifier>ISSN: 1754-9477</identifier><identifier>EISSN: 1754-9485</identifier><identifier>DOI: 10.1111/1754-9485.12159</identifier><identifier>PMID: 24581030</identifier><language>eng</language><publisher>Australia: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Body Burden ; Female ; Humans ; iterative reconstruction ; Male ; Middle Aged ; multidetector computed tomography ; Multidetector Computed Tomography - methods ; Observer Variation ; Radiation Dosage ; Radiation Protection - methods ; Radiographic Image Interpretation, Computer-Assisted - methods ; Reproducibility of Results ; Sensitivity and Specificity ; urolithiasis ; Urolithiasis - diagnostic imaging ; Young Adult</subject><ispartof>Journal of medical imaging and radiation oncology, 2014-06, Vol.58 (3), p.283-290</ispartof><rights>2014 The Royal Australian and New Zealand College of Radiologists</rights><rights>2014 The Royal Australian and New Zealand College of Radiologists.</rights><rights>Copyright © 2014 Royal Australian and New Zealand College of Radiologists</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4119-32a23c9d1b1925cbacad13fed603a4946662ad481623c069d685dbafdc6ee33d3</citedby><cites>FETCH-LOGICAL-c4119-32a23c9d1b1925cbacad13fed603a4946662ad481623c069d685dbafdc6ee33d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1754-9485.12159$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1754-9485.12159$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24581030$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Veldhoen, Simon</creatorcontrib><creatorcontrib>Laqmani, Azien</creatorcontrib><creatorcontrib>Derlin, Thorsten</creatorcontrib><creatorcontrib>Karul, Murat</creatorcontrib><creatorcontrib>Hammerle, Diego</creatorcontrib><creatorcontrib>Buhk, Jan-Hendrik</creatorcontrib><creatorcontrib>Sehner, Susanne</creatorcontrib><creatorcontrib>Nagel, Hans D.</creatorcontrib><creatorcontrib>Chun, Felix</creatorcontrib><creatorcontrib>Adam, Gerhard</creatorcontrib><creatorcontrib>Regier, Marc</creatorcontrib><title>256-MDCT for evaluation of urolithiasis: Iterative reconstruction allows for a significant reduction of the applied radiation dose while maintaining high subjective and objective image quality</title><title>Journal of medical imaging and radiation oncology</title><addtitle>Journal of Medical Imaging and Radiation Oncology</addtitle><description>Purpose
Multidetector CT (MDCT) is the established imaging modality in diagnostics of urolithiasis. The aim of iterative reconstruction (IR) is to allow for a radiation dose reduction while maintaining high image quality. This study evaluates its performance in MDCT for assessment of urolithiasis.
Materials and Methods
Fifty‐two patients underwent non‐contrast abdominal MDCT. Twenty‐six patients were referred to MDCT under suspicion of urolithiasis, and examined using a dose‐reduced scan protocol (RDCT). Twenty‐six patients, who had undergone standard‐dose MDCT, served as reference for radiation dose comparison. RDCT images were reconstructed using an IR system (iDose4™, Philips Healthcare, Cleveland, OH, USA). Objective image noise (OIN) was recorded and five radiologists rated the subjective image quality independently. Radiation parameters were derived from the scan protocols.
Results
The CTDIvol could be reduced by 50% to 5.8 mGy (P < 0.0001). The same reduction was achieved for DLP and effective dose to 253 ± 27 mGy*cm (P < 0.0001) and 3.9 ± 0.4 mSv (P < 0.0001). IR led to a reduction of the OIN of up to 61% compared with classic filtered back projection (FBP) (P < 0.0001). The OIN declined with increasing IR levels. RDCT with FBP showed the lowest scores of subjective image quality (2.32 ± 0.04). Mean scores improved with increasing IR levels. iDose6 was rated with the best mean score (3.66 ± 0.04).
Conclusion
The evaluated IR‐tool and protocol may be applied to achieve a considerable radiation dose reduction in MDCT for diagnostics of urolithiasis while maintaining a confident image quality. Best image quality, suitable for evaluation of the entire abdomen concerning differential diagnoses, was achieved with iDose6.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Body Burden</subject><subject>Female</subject><subject>Humans</subject><subject>iterative reconstruction</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multidetector computed tomography</subject><subject>Multidetector Computed Tomography - methods</subject><subject>Observer Variation</subject><subject>Radiation Dosage</subject><subject>Radiation Protection - methods</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>urolithiasis</subject><subject>Urolithiasis - diagnostic imaging</subject><subject>Young Adult</subject><issn>1754-9477</issn><issn>1754-9485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc9v0zAUxyMEYmNw5oYscdklmx0nTsINddAVbZ0EQxytV_ulcUnjzk5W-t_tT8Ntuhy4YMnyr8_7vuf3jaL3jF6wMC5ZnqVxmRbZBUtYVr6ITsebl-M-z0-iN96vKBWMpeXr6CRJs4JRTk-jpyQT8e3V5J5U1hF8hKaHztiW2Ir0zjamqw144z-RWYcuPD0icahs6zvXqwMJTWO3_hAPxJtlayqjoO0Cp49IEOtqJLDZNAY1caDNkEVbj2RbmwbJGkzbhWnaJanNsia-X6xQHTJCq4kdT2YNSyQPPYTqdm-jVxU0Ht8d17Po59cv95Pr-OZuOpt8volVylgZ8wQSrkrNFqxMMrUABZrxCrWgHNIyFUIkoNOCiYBRUWpRZHoBlVYCkXPNz6LzQXfj7EOPvpNr4xU2DbRoey9ZxpO0CI3NA_rxH3Rle9eG6vYULfKCMhaoy4FSznrvsJIbF37mdpJRuTdX7u2TeyvlwdwQ8eGo2y_WqEf-2c0A5AOwDQ3d_U9Pfrudfb97lo6HSOM7_DNGgvstRc7zTP6aT-Xkaj7nP5JSTvlf7XPCEg</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Veldhoen, Simon</creator><creator>Laqmani, Azien</creator><creator>Derlin, Thorsten</creator><creator>Karul, Murat</creator><creator>Hammerle, Diego</creator><creator>Buhk, Jan-Hendrik</creator><creator>Sehner, Susanne</creator><creator>Nagel, Hans D.</creator><creator>Chun, Felix</creator><creator>Adam, Gerhard</creator><creator>Regier, Marc</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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></search><sort><creationdate>201406</creationdate><title>256-MDCT for evaluation of urolithiasis: Iterative reconstruction allows for a significant reduction of the applied radiation dose while maintaining high subjective and objective image quality</title><author>Veldhoen, Simon ; Laqmani, Azien ; Derlin, Thorsten ; Karul, Murat ; Hammerle, Diego ; Buhk, Jan-Hendrik ; Sehner, Susanne ; Nagel, Hans D. ; Chun, Felix ; Adam, Gerhard ; Regier, Marc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4119-32a23c9d1b1925cbacad13fed603a4946662ad481623c069d685dbafdc6ee33d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Body Burden</topic><topic>Female</topic><topic>Humans</topic><topic>iterative reconstruction</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multidetector computed tomography</topic><topic>Multidetector Computed Tomography - methods</topic><topic>Observer Variation</topic><topic>Radiation Dosage</topic><topic>Radiation Protection - methods</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>urolithiasis</topic><topic>Urolithiasis - diagnostic imaging</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Veldhoen, Simon</creatorcontrib><creatorcontrib>Laqmani, Azien</creatorcontrib><creatorcontrib>Derlin, Thorsten</creatorcontrib><creatorcontrib>Karul, Murat</creatorcontrib><creatorcontrib>Hammerle, Diego</creatorcontrib><creatorcontrib>Buhk, Jan-Hendrik</creatorcontrib><creatorcontrib>Sehner, Susanne</creatorcontrib><creatorcontrib>Nagel, Hans D.</creatorcontrib><creatorcontrib>Chun, Felix</creatorcontrib><creatorcontrib>Adam, Gerhard</creatorcontrib><creatorcontrib>Regier, Marc</creatorcontrib><collection>Istex</collection><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>Journal of medical imaging and radiation oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Veldhoen, Simon</au><au>Laqmani, Azien</au><au>Derlin, Thorsten</au><au>Karul, Murat</au><au>Hammerle, Diego</au><au>Buhk, Jan-Hendrik</au><au>Sehner, Susanne</au><au>Nagel, Hans D.</au><au>Chun, Felix</au><au>Adam, Gerhard</au><au>Regier, Marc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>256-MDCT for evaluation of urolithiasis: Iterative reconstruction allows for a significant reduction of the applied radiation dose while maintaining high subjective and objective image quality</atitle><jtitle>Journal of medical imaging and radiation oncology</jtitle><addtitle>Journal of Medical Imaging and Radiation Oncology</addtitle><date>2014-06</date><risdate>2014</risdate><volume>58</volume><issue>3</issue><spage>283</spage><epage>290</epage><pages>283-290</pages><issn>1754-9477</issn><eissn>1754-9485</eissn><abstract>Purpose
Multidetector CT (MDCT) is the established imaging modality in diagnostics of urolithiasis. The aim of iterative reconstruction (IR) is to allow for a radiation dose reduction while maintaining high image quality. This study evaluates its performance in MDCT for assessment of urolithiasis.
Materials and Methods
Fifty‐two patients underwent non‐contrast abdominal MDCT. Twenty‐six patients were referred to MDCT under suspicion of urolithiasis, and examined using a dose‐reduced scan protocol (RDCT). Twenty‐six patients, who had undergone standard‐dose MDCT, served as reference for radiation dose comparison. RDCT images were reconstructed using an IR system (iDose4™, Philips Healthcare, Cleveland, OH, USA). Objective image noise (OIN) was recorded and five radiologists rated the subjective image quality independently. Radiation parameters were derived from the scan protocols.
Results
The CTDIvol could be reduced by 50% to 5.8 mGy (P < 0.0001). The same reduction was achieved for DLP and effective dose to 253 ± 27 mGy*cm (P < 0.0001) and 3.9 ± 0.4 mSv (P < 0.0001). IR led to a reduction of the OIN of up to 61% compared with classic filtered back projection (FBP) (P < 0.0001). The OIN declined with increasing IR levels. RDCT with FBP showed the lowest scores of subjective image quality (2.32 ± 0.04). Mean scores improved with increasing IR levels. iDose6 was rated with the best mean score (3.66 ± 0.04).
Conclusion
The evaluated IR‐tool and protocol may be applied to achieve a considerable radiation dose reduction in MDCT for diagnostics of urolithiasis while maintaining a confident image quality. Best image quality, suitable for evaluation of the entire abdomen concerning differential diagnoses, was achieved with iDose6.</abstract><cop>Australia</cop><pub>Blackwell Publishing Ltd</pub><pmid>24581030</pmid><doi>10.1111/1754-9485.12159</doi><tpages>8</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Body Burden Female Humans iterative reconstruction Male Middle Aged multidetector computed tomography Multidetector Computed Tomography - methods Observer Variation Radiation Dosage Radiation Protection - methods Radiographic Image Interpretation, Computer-Assisted - methods Reproducibility of Results Sensitivity and Specificity urolithiasis Urolithiasis - diagnostic imaging Young Adult |
title | 256-MDCT for evaluation of urolithiasis: Iterative reconstruction allows for a significant reduction of the applied radiation dose while maintaining high subjective and objective image quality |
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