Differentiation between heterogeneous adrenal adenoma and non-adenoma adrenal lesion with CT and MRI

Purpose To assess whether heterogeneous adrenal adenomas can be distinguished from heterogeneous non-adenomas with Computed Tomography (CT) and/or Magnetic Resonance Imaging (MRI). Method From 2009 to 2019, 980 consecutive adrenalectomies were retrospectively identified. Patients without adequate CT...

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Veröffentlicht in:Abdominal imaging 2022-03, Vol.47 (3), p.1098-1111
Hauptverfasser: Lanoix, Justine, Djelouah, Manel, Chocardelle, Lea, Deguelte, Sophie, Delemer, Brigitte, Dohan, Anthony, Soyer, Philippe, Barat, Maxime, Hoeffel, Christine
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container_issue 3
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container_title Abdominal imaging
container_volume 47
creator Lanoix, Justine
Djelouah, Manel
Chocardelle, Lea
Deguelte, Sophie
Delemer, Brigitte
Dohan, Anthony
Soyer, Philippe
Barat, Maxime
Hoeffel, Christine
description Purpose To assess whether heterogeneous adrenal adenomas can be distinguished from heterogeneous non-adenomas with Computed Tomography (CT) and/or Magnetic Resonance Imaging (MRI). Method From 2009 to 2019, 980 consecutive adrenalectomies were retrospectively identified. Patients without adequate CT/MRI, with homogeneous and/or 
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Method From 2009 to 2019, 980 consecutive adrenalectomies were retrospectively identified. Patients without adequate CT/MRI, with homogeneous and/or &lt; 1 cm lesions were excluded. Differences between adenomas and non-adenomas were analyzed using Chi-square, Student t or Fischer tests, and interobserver agreement using weighted kappa test or intraclass correlation coefficient. Independent variables associated with adenomas were searched for using multivariable analysis. Area under the receiver operating characteristic curve (AUC) of the final model and its diagnostic performances were calculated. Results Final population comprised 183 patients (106 women, 77 men, mean age 53.2 ± 14.4 years) with 124 non-adenomas and 59 heterogeneous adenomas. Macroscopic or microscopic fat on CT/MRI allowed diagnosis of adenoma with 98% specificity and 63% sensitivity. Interobserver agreement was almost perfect for macroscopic fat ( k  = 0.82; 95% CI 0.66; 0.94) and substantial for microscopic fat ( k  = 0.75; 95% CI 0.62; 0.86). A multivariable model including micro- or macroscopic fat [Odds ratio (OR) 81.19; 95% CI 20.17; 572.27], diameter &lt; 5.5 cm (OR 7.32; 95% CI 2.17; 31.28), calcifications (OR 5.68; 95% CI 2.08; 16.18), and hemorrhage (OR 3.10; 95% CI 0.70; 15.35) had an AUC of 0.91 (95% CI 0.86; 0.96), 71% (42/59, 95% CI 58; 82) sensitivity, 93% (115/124; 95% CI 87; 97) specificity, and 86% (157/183; 95% CI 79; 90) accuracy for the diagnosis of adenoma. Conclusion A multivariable model enables CT/MR diagnosis of heterogeneous adenomas. Presence of microscopic fat, even if partial, in a heterogeneous mass is highly specific of adenoma. Graphical abstract</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-022-03409-4</identifier><identifier>PMID: 35037990</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adenoma ; Adrenal glands ; Bioengineering ; Bladder ; Computed tomography ; Correlation coefficient ; Correlation coefficients ; Diagnosis ; Gastroenterology ; Hemorrhage ; Hepatology ; Imaging ; Independent variables ; Kidneys ; Lesions ; Life Sciences ; Magnetic resonance imaging ; Medicine ; Medicine &amp; Public Health ; Neuroendocrine tumors ; Radiology ; Retroperitoneum ; Sensitivity ; Tumors ; Ureters</subject><ispartof>Abdominal imaging, 2022-03, Vol.47 (3), p.1098-1111</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-432d4d5e63da6d73d3eaded70f5cb8083bdd5b48724930fd7dded79ae0d489ec3</citedby><cites>FETCH-LOGICAL-c409t-432d4d5e63da6d73d3eaded70f5cb8083bdd5b48724930fd7dded79ae0d489ec3</cites><orcidid>0000-0002-0783-0723 ; 0000-0002-8732-5603 ; 0000-0002-2551-3545</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/s00261-022-03409-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-022-03409-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35037990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03544282$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lanoix, Justine</creatorcontrib><creatorcontrib>Djelouah, Manel</creatorcontrib><creatorcontrib>Chocardelle, Lea</creatorcontrib><creatorcontrib>Deguelte, Sophie</creatorcontrib><creatorcontrib>Delemer, Brigitte</creatorcontrib><creatorcontrib>Dohan, Anthony</creatorcontrib><creatorcontrib>Soyer, Philippe</creatorcontrib><creatorcontrib>Barat, Maxime</creatorcontrib><creatorcontrib>Hoeffel, Christine</creatorcontrib><title>Differentiation between heterogeneous adrenal adenoma and non-adenoma adrenal lesion with CT and MRI</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose To assess whether heterogeneous adrenal adenomas can be distinguished from heterogeneous non-adenomas with Computed Tomography (CT) and/or Magnetic Resonance Imaging (MRI). Method From 2009 to 2019, 980 consecutive adrenalectomies were retrospectively identified. Patients without adequate CT/MRI, with homogeneous and/or &lt; 1 cm lesions were excluded. Differences between adenomas and non-adenomas were analyzed using Chi-square, Student t or Fischer tests, and interobserver agreement using weighted kappa test or intraclass correlation coefficient. Independent variables associated with adenomas were searched for using multivariable analysis. Area under the receiver operating characteristic curve (AUC) of the final model and its diagnostic performances were calculated. Results Final population comprised 183 patients (106 women, 77 men, mean age 53.2 ± 14.4 years) with 124 non-adenomas and 59 heterogeneous adenomas. Macroscopic or microscopic fat on CT/MRI allowed diagnosis of adenoma with 98% specificity and 63% sensitivity. Interobserver agreement was almost perfect for macroscopic fat ( k  = 0.82; 95% CI 0.66; 0.94) and substantial for microscopic fat ( k  = 0.75; 95% CI 0.62; 0.86). A multivariable model including micro- or macroscopic fat [Odds ratio (OR) 81.19; 95% CI 20.17; 572.27], diameter &lt; 5.5 cm (OR 7.32; 95% CI 2.17; 31.28), calcifications (OR 5.68; 95% CI 2.08; 16.18), and hemorrhage (OR 3.10; 95% CI 0.70; 15.35) had an AUC of 0.91 (95% CI 0.86; 0.96), 71% (42/59, 95% CI 58; 82) sensitivity, 93% (115/124; 95% CI 87; 97) specificity, and 86% (157/183; 95% CI 79; 90) accuracy for the diagnosis of adenoma. Conclusion A multivariable model enables CT/MR diagnosis of heterogeneous adenomas. Presence of microscopic fat, even if partial, in a heterogeneous mass is highly specific of adenoma. 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Method From 2009 to 2019, 980 consecutive adrenalectomies were retrospectively identified. Patients without adequate CT/MRI, with homogeneous and/or &lt; 1 cm lesions were excluded. Differences between adenomas and non-adenomas were analyzed using Chi-square, Student t or Fischer tests, and interobserver agreement using weighted kappa test or intraclass correlation coefficient. Independent variables associated with adenomas were searched for using multivariable analysis. Area under the receiver operating characteristic curve (AUC) of the final model and its diagnostic performances were calculated. Results Final population comprised 183 patients (106 women, 77 men, mean age 53.2 ± 14.4 years) with 124 non-adenomas and 59 heterogeneous adenomas. Macroscopic or microscopic fat on CT/MRI allowed diagnosis of adenoma with 98% specificity and 63% sensitivity. Interobserver agreement was almost perfect for macroscopic fat ( k  = 0.82; 95% CI 0.66; 0.94) and substantial for microscopic fat ( k  = 0.75; 95% CI 0.62; 0.86). A multivariable model including micro- or macroscopic fat [Odds ratio (OR) 81.19; 95% CI 20.17; 572.27], diameter &lt; 5.5 cm (OR 7.32; 95% CI 2.17; 31.28), calcifications (OR 5.68; 95% CI 2.08; 16.18), and hemorrhage (OR 3.10; 95% CI 0.70; 15.35) had an AUC of 0.91 (95% CI 0.86; 0.96), 71% (42/59, 95% CI 58; 82) sensitivity, 93% (115/124; 95% CI 87; 97) specificity, and 86% (157/183; 95% CI 79; 90) accuracy for the diagnosis of adenoma. Conclusion A multivariable model enables CT/MR diagnosis of heterogeneous adenomas. Presence of microscopic fat, even if partial, in a heterogeneous mass is highly specific of adenoma. Graphical abstract</abstract><cop>New York</cop><pub>Springer US</pub><pmid>35037990</pmid><doi>10.1007/s00261-022-03409-4</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-0783-0723</orcidid><orcidid>https://orcid.org/0000-0002-8732-5603</orcidid><orcidid>https://orcid.org/0000-0002-2551-3545</orcidid></addata></record>
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subjects Adenoma
Adrenal glands
Bioengineering
Bladder
Computed tomography
Correlation coefficient
Correlation coefficients
Diagnosis
Gastroenterology
Hemorrhage
Hepatology
Imaging
Independent variables
Kidneys
Lesions
Life Sciences
Magnetic resonance imaging
Medicine
Medicine & Public Health
Neuroendocrine tumors
Radiology
Retroperitoneum
Sensitivity
Tumors
Ureters
title Differentiation between heterogeneous adrenal adenoma and non-adenoma adrenal lesion with CT and MRI
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