O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort
Objective To retrospectively review the causes of categorization errors using O-RADS-MRI score and to determine the presumptive causes of these misclassifications. Methods EURAD database was retrospectively queried to identify misclassified lesions. In this cohort, 1194 evaluable patients with 1502...
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| Veröffentlicht in: | European radiology 2021-12, Vol.31 (12), p.9588-9599 |
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| creator | Thomassin-Naggara, I. Belghitti, M. Milon, A. Abdel Wahab, C. Sadowski, E. Rockall, A. G. |
| description | Objective
To retrospectively review the causes of categorization errors using O-RADS-MRI score and to determine the presumptive causes of these misclassifications.
Methods
EURAD database was retrospectively queried to identify misclassified lesions. In this cohort, 1194 evaluable patients with 1502 pelvic masses (277 malignant / 1225 benign lesions) underwent standardized MRI to characterize adnexal masses with histology or 2 years’ follow-up as a reference standard. An expert radiologist reviewed cases with two junior radiologists and lesions termed misclassified if malignant lesion was scored ≤ 3, a benign lesion was scored ≥ 4, the site of origin was incorrect, or a non-adnexal mass was incorrectly categorized as benign or malignant.
Results
There were 139 / 1502 (9.2%) misclassified masses in 116 women including 109 adnexal and 30 non-adnexal masses. False-negative cases corresponded to 16 borderline or invasive malignant adnexal masses rated score ≤ 3 (16 / 139, 11.5%). False-positive cases corresponded to 88 benign masses were rated score 4 (67 / 139, 48.2%) or 5 (18 / 139,12.9%) or considered suspicious non-adnexal lesions (3 / 139, 2.2%). Misclassifications were only due to origin error in 12 adnexal masses (8 benign, 4 malignant) (8.6%, 12 / 139) and 23 non-adnexal masses (18 benign, 5 malignant,16.5%, 23 / 139) perceived respectively as non-adnexal and adnexal masses. Interpretive error (
n
= 104), failure to recognize technical insufficient exams (
n
= 9), and perceptual errors (
n
= 4) were found. Most interpretive was due to misinterpretation of solid tissue or incorrect assignment of mass origin. Eighty-four out of 139 cases were correctly reclassified by the readers with strict adherence to the score rules.
Conclusion
Most errors were due to misinterpretation of solid tissue or incorrect assignment of mass origin.
Key Points
•
Prospective assignment of O-RADS-MRI score resulted in misclassification of 9.25% of sonographically indeterminate pelvic masses.
•
Most errors were interpretive (74.8%) due to misinterpretation of solid tissue as defined by the lexicon or incorrect assignment of mass origin.
•
Pelvic inflammatory disease is a common source of misclassification (8.9%) (12 / 139). |
| doi_str_mv | 10.1007/s00330-021-08054-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_webofscience_primary_000654845900006</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2533313058</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-96ce0a9763081f47ace19a3551a69987cb8efebdb67f5521fb548caa8beaa5b23</originalsourceid><addsrcrecordid>eNqNkcFu1DAQhi0EokvhBThZ4gJCgXFsJza31VJopUWVCpytiTuhrrLxYielfXu8BBWJA-Jky_o-a_75GXsu4I0AaN9mACmhglpUYECr6vYBWwkl60qAUQ_ZCqw0VWutOmJPcr4GACtU-5gdSQVK6KZdMXdeXazff-afLs549jHRO44jDnc5ZB57vgvZD5hz6ANdco-ZMg8jR75PMe_JT-GG-G4epuBpnFLw_GROcU84ch-vYpqeskc9Dpme_T6P2dcPJ182p9X2_OPZZr2tvJIwVbbxBGjbRoIRvWrRk7AotRbYWGta3xnqqbvsmrbXuhZ9p5XxiKYjRN3V8pi9Wv69wsHtU9hhunMRgztdb93hDWStdKvNjSjsy4UtIb7PlCd3iEnDgCPFObtaSymFBG0K-uIv9DrOqSzoQNnGCCUMFKpeKF-2khP19xMIcIeq3FKVK1W5X1W52yK9XqQf1MU--0Cjp3uxdNWUiEpbOFwLbf6f3oQJpxDHTZzHqahyUXPBx2-U_mT4x3g_AQ6_tPU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2596814180</pqid></control><display><type>article</type><title>O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort</title><source>Springer Online Journals Complete</source><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><creator>Thomassin-Naggara, I. ; Belghitti, M. ; Milon, A. ; Abdel Wahab, C. ; Sadowski, E. ; Rockall, A. G.</creator><creatorcontrib>Thomassin-Naggara, I. ; Belghitti, M. ; Milon, A. ; Abdel Wahab, C. ; Sadowski, E. ; Rockall, A. G. ; EURAD Study Grp ; on behalf of EURAD study group</creatorcontrib><description>Objective
To retrospectively review the causes of categorization errors using O-RADS-MRI score and to determine the presumptive causes of these misclassifications.
Methods
EURAD database was retrospectively queried to identify misclassified lesions. In this cohort, 1194 evaluable patients with 1502 pelvic masses (277 malignant / 1225 benign lesions) underwent standardized MRI to characterize adnexal masses with histology or 2 years’ follow-up as a reference standard. An expert radiologist reviewed cases with two junior radiologists and lesions termed misclassified if malignant lesion was scored ≤ 3, a benign lesion was scored ≥ 4, the site of origin was incorrect, or a non-adnexal mass was incorrectly categorized as benign or malignant.
Results
There were 139 / 1502 (9.2%) misclassified masses in 116 women including 109 adnexal and 30 non-adnexal masses. False-negative cases corresponded to 16 borderline or invasive malignant adnexal masses rated score ≤ 3 (16 / 139, 11.5%). False-positive cases corresponded to 88 benign masses were rated score 4 (67 / 139, 48.2%) or 5 (18 / 139,12.9%) or considered suspicious non-adnexal lesions (3 / 139, 2.2%). Misclassifications were only due to origin error in 12 adnexal masses (8 benign, 4 malignant) (8.6%, 12 / 139) and 23 non-adnexal masses (18 benign, 5 malignant,16.5%, 23 / 139) perceived respectively as non-adnexal and adnexal masses. Interpretive error (
n
= 104), failure to recognize technical insufficient exams (
n
= 9), and perceptual errors (
n
= 4) were found. Most interpretive was due to misinterpretation of solid tissue or incorrect assignment of mass origin. Eighty-four out of 139 cases were correctly reclassified by the readers with strict adherence to the score rules.
Conclusion
Most errors were due to misinterpretation of solid tissue or incorrect assignment of mass origin.
Key Points
•
Prospective assignment of O-RADS-MRI score resulted in misclassification of 9.25% of sonographically indeterminate pelvic masses.
•
Most errors were interpretive (74.8%) due to misinterpretation of solid tissue as defined by the lexicon or incorrect assignment of mass origin.
•
Pelvic inflammatory disease is a common source of misclassification (8.9%) (12 / 139).</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-021-08054-x</identifier><identifier>PMID: 34041567</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Benign ; Diagnostic Radiology ; Histology ; Imaging ; Inflammatory diseases ; Internal Medicine ; Interventional Radiology ; Lesions ; Life Sciences ; Life Sciences & Biomedicine ; Magnetic resonance imaging ; Medical errors ; Medicine ; Medicine & Public Health ; Morphology ; Neuroradiology ; Ovarian cancer ; Patients ; Pelvic inflammatory disease ; Perceptual errors ; Radiology ; Radiology, Nuclear Medicine & Medical Imaging ; Science & Technology ; Surgery ; Tissues ; Ultrasound ; Urogenital ; Womens health</subject><ispartof>European radiology, 2021-12, Vol.31 (12), p.9588-9599</ispartof><rights>European Society of Radiology 2021</rights><rights>European Society of Radiology 2021.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>29</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000654845900006</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c430t-96ce0a9763081f47ace19a3551a69987cb8efebdb67f5521fb548caa8beaa5b23</citedby><cites>FETCH-LOGICAL-c430t-96ce0a9763081f47ace19a3551a69987cb8efebdb67f5521fb548caa8beaa5b23</cites><orcidid>0000-0002-0919-0133 ; 0000-0001-8270-5597</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-021-08054-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-021-08054-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,315,781,785,886,27929,27930,39263,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-03245758$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Thomassin-Naggara, I.</creatorcontrib><creatorcontrib>Belghitti, M.</creatorcontrib><creatorcontrib>Milon, A.</creatorcontrib><creatorcontrib>Abdel Wahab, C.</creatorcontrib><creatorcontrib>Sadowski, E.</creatorcontrib><creatorcontrib>Rockall, A. G.</creatorcontrib><creatorcontrib>EURAD Study Grp</creatorcontrib><creatorcontrib>on behalf of EURAD study group</creatorcontrib><title>O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>EUR RADIOL</addtitle><description>Objective
To retrospectively review the causes of categorization errors using O-RADS-MRI score and to determine the presumptive causes of these misclassifications.
Methods
EURAD database was retrospectively queried to identify misclassified lesions. In this cohort, 1194 evaluable patients with 1502 pelvic masses (277 malignant / 1225 benign lesions) underwent standardized MRI to characterize adnexal masses with histology or 2 years’ follow-up as a reference standard. An expert radiologist reviewed cases with two junior radiologists and lesions termed misclassified if malignant lesion was scored ≤ 3, a benign lesion was scored ≥ 4, the site of origin was incorrect, or a non-adnexal mass was incorrectly categorized as benign or malignant.
Results
There were 139 / 1502 (9.2%) misclassified masses in 116 women including 109 adnexal and 30 non-adnexal masses. False-negative cases corresponded to 16 borderline or invasive malignant adnexal masses rated score ≤ 3 (16 / 139, 11.5%). False-positive cases corresponded to 88 benign masses were rated score 4 (67 / 139, 48.2%) or 5 (18 / 139,12.9%) or considered suspicious non-adnexal lesions (3 / 139, 2.2%). Misclassifications were only due to origin error in 12 adnexal masses (8 benign, 4 malignant) (8.6%, 12 / 139) and 23 non-adnexal masses (18 benign, 5 malignant,16.5%, 23 / 139) perceived respectively as non-adnexal and adnexal masses. Interpretive error (
n
= 104), failure to recognize technical insufficient exams (
n
= 9), and perceptual errors (
n
= 4) were found. Most interpretive was due to misinterpretation of solid tissue or incorrect assignment of mass origin. Eighty-four out of 139 cases were correctly reclassified by the readers with strict adherence to the score rules.
Conclusion
Most errors were due to misinterpretation of solid tissue or incorrect assignment of mass origin.
Key Points
•
Prospective assignment of O-RADS-MRI score resulted in misclassification of 9.25% of sonographically indeterminate pelvic masses.
•
Most errors were interpretive (74.8%) due to misinterpretation of solid tissue as defined by the lexicon or incorrect assignment of mass origin.
•
Pelvic inflammatory disease is a common source of misclassification (8.9%) (12 / 139).</description><subject>Benign</subject><subject>Diagnostic Radiology</subject><subject>Histology</subject><subject>Imaging</subject><subject>Inflammatory diseases</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lesions</subject><subject>Life Sciences</subject><subject>Life Sciences & Biomedicine</subject><subject>Magnetic resonance imaging</subject><subject>Medical errors</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Morphology</subject><subject>Neuroradiology</subject><subject>Ovarian cancer</subject><subject>Patients</subject><subject>Pelvic inflammatory disease</subject><subject>Perceptual errors</subject><subject>Radiology</subject><subject>Radiology, Nuclear Medicine & Medical Imaging</subject><subject>Science & Technology</subject><subject>Surgery</subject><subject>Tissues</subject><subject>Ultrasound</subject><subject>Urogenital</subject><subject>Womens health</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkcFu1DAQhi0EokvhBThZ4gJCgXFsJza31VJopUWVCpytiTuhrrLxYielfXu8BBWJA-Jky_o-a_75GXsu4I0AaN9mACmhglpUYECr6vYBWwkl60qAUQ_ZCqw0VWutOmJPcr4GACtU-5gdSQVK6KZdMXdeXazff-afLs549jHRO44jDnc5ZB57vgvZD5hz6ANdco-ZMg8jR75PMe_JT-GG-G4epuBpnFLw_GROcU84ch-vYpqeskc9Dpme_T6P2dcPJ182p9X2_OPZZr2tvJIwVbbxBGjbRoIRvWrRk7AotRbYWGta3xnqqbvsmrbXuhZ9p5XxiKYjRN3V8pi9Wv69wsHtU9hhunMRgztdb93hDWStdKvNjSjsy4UtIb7PlCd3iEnDgCPFObtaSymFBG0K-uIv9DrOqSzoQNnGCCUMFKpeKF-2khP19xMIcIeq3FKVK1W5X1W52yK9XqQf1MU--0Cjp3uxdNWUiEpbOFwLbf6f3oQJpxDHTZzHqahyUXPBx2-U_mT4x3g_AQ6_tPU</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Thomassin-Naggara, I.</creator><creator>Belghitti, M.</creator><creator>Milon, A.</creator><creator>Abdel Wahab, C.</creator><creator>Sadowski, E.</creator><creator>Rockall, A. G.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-0919-0133</orcidid><orcidid>https://orcid.org/0000-0001-8270-5597</orcidid></search><sort><creationdate>20211201</creationdate><title>O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort</title><author>Thomassin-Naggara, I. ; Belghitti, M. ; Milon, A. ; Abdel Wahab, C. ; Sadowski, E. ; Rockall, A. G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-96ce0a9763081f47ace19a3551a69987cb8efebdb67f5521fb548caa8beaa5b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Benign</topic><topic>Diagnostic Radiology</topic><topic>Histology</topic><topic>Imaging</topic><topic>Inflammatory diseases</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lesions</topic><topic>Life Sciences</topic><topic>Life Sciences & Biomedicine</topic><topic>Magnetic resonance imaging</topic><topic>Medical errors</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Morphology</topic><topic>Neuroradiology</topic><topic>Ovarian cancer</topic><topic>Patients</topic><topic>Pelvic inflammatory disease</topic><topic>Perceptual errors</topic><topic>Radiology</topic><topic>Radiology, Nuclear Medicine & Medical Imaging</topic><topic>Science & Technology</topic><topic>Surgery</topic><topic>Tissues</topic><topic>Ultrasound</topic><topic>Urogenital</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thomassin-Naggara, I.</creatorcontrib><creatorcontrib>Belghitti, M.</creatorcontrib><creatorcontrib>Milon, A.</creatorcontrib><creatorcontrib>Abdel Wahab, C.</creatorcontrib><creatorcontrib>Sadowski, E.</creatorcontrib><creatorcontrib>Rockall, A. G.</creatorcontrib><creatorcontrib>EURAD Study Grp</creatorcontrib><creatorcontrib>on behalf of EURAD study group</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomassin-Naggara, I.</au><au>Belghitti, M.</au><au>Milon, A.</au><au>Abdel Wahab, C.</au><au>Sadowski, E.</au><au>Rockall, A. G.</au><aucorp>EURAD Study Grp</aucorp><aucorp>on behalf of EURAD study group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><stitle>EUR RADIOL</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>31</volume><issue>12</issue><spage>9588</spage><epage>9599</epage><pages>9588-9599</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective
To retrospectively review the causes of categorization errors using O-RADS-MRI score and to determine the presumptive causes of these misclassifications.
Methods
EURAD database was retrospectively queried to identify misclassified lesions. In this cohort, 1194 evaluable patients with 1502 pelvic masses (277 malignant / 1225 benign lesions) underwent standardized MRI to characterize adnexal masses with histology or 2 years’ follow-up as a reference standard. An expert radiologist reviewed cases with two junior radiologists and lesions termed misclassified if malignant lesion was scored ≤ 3, a benign lesion was scored ≥ 4, the site of origin was incorrect, or a non-adnexal mass was incorrectly categorized as benign or malignant.
Results
There were 139 / 1502 (9.2%) misclassified masses in 116 women including 109 adnexal and 30 non-adnexal masses. False-negative cases corresponded to 16 borderline or invasive malignant adnexal masses rated score ≤ 3 (16 / 139, 11.5%). False-positive cases corresponded to 88 benign masses were rated score 4 (67 / 139, 48.2%) or 5 (18 / 139,12.9%) or considered suspicious non-adnexal lesions (3 / 139, 2.2%). Misclassifications were only due to origin error in 12 adnexal masses (8 benign, 4 malignant) (8.6%, 12 / 139) and 23 non-adnexal masses (18 benign, 5 malignant,16.5%, 23 / 139) perceived respectively as non-adnexal and adnexal masses. Interpretive error (
n
= 104), failure to recognize technical insufficient exams (
n
= 9), and perceptual errors (
n
= 4) were found. Most interpretive was due to misinterpretation of solid tissue or incorrect assignment of mass origin. Eighty-four out of 139 cases were correctly reclassified by the readers with strict adherence to the score rules.
Conclusion
Most errors were due to misinterpretation of solid tissue or incorrect assignment of mass origin.
Key Points
•
Prospective assignment of O-RADS-MRI score resulted in misclassification of 9.25% of sonographically indeterminate pelvic masses.
•
Most errors were interpretive (74.8%) due to misinterpretation of solid tissue as defined by the lexicon or incorrect assignment of mass origin.
•
Pelvic inflammatory disease is a common source of misclassification (8.9%) (12 / 139).</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34041567</pmid><doi>10.1007/s00330-021-08054-x</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-0919-0133</orcidid><orcidid>https://orcid.org/0000-0001-8270-5597</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2021-12, Vol.31 (12), p.9588-9599 |
| issn | 0938-7994 1432-1084 |
| language | eng |
| recordid | cdi_webofscience_primary_000654845900006 |
| source | Springer Online Journals Complete; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
| subjects | Benign Diagnostic Radiology Histology Imaging Inflammatory diseases Internal Medicine Interventional Radiology Lesions Life Sciences Life Sciences & Biomedicine Magnetic resonance imaging Medical errors Medicine Medicine & Public Health Morphology Neuroradiology Ovarian cancer Patients Pelvic inflammatory disease Perceptual errors Radiology Radiology, Nuclear Medicine & Medical Imaging Science & Technology Surgery Tissues Ultrasound Urogenital Womens health |
| title | O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort |
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