{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:55:55Z","timestamp":1761396955460,"version":"3.40.4"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-024-04671-4","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T04:53:19Z","timestamp":1731473599000},"page":"2169-2180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Quantitative imaging biomarkers in the assessment of adrenal nodules"],"prefix":"10.1007","volume":"50","author":[{"given":"Mariana","family":"Yalon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick J.","family":"Navin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"issue":"11","key":"4671_CR1","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1016\/s2213-8587(20)30314-4","volume":"8","author":"A Ebbehoj","year":"2020","unstructured":"Ebbehoj A, Li D, Kaur RJ, Zhang C, Singh S, Li T, Atkinson E, Achenbach S, Khosla S, Arlt W, Young WF, Rocca WA, Bancos I. Epidemiology of adrenal tumours in Olmsted County, Minnesota, USA: a population-based cohort study. Lancet Diabetes Endocrinol 2020;8(11):894\u2013902. doi: https:\/\/doi.org\/10.1016\/s2213-8587(20)30314-4","journal-title":"Lancet Diabetes Endocrinol"},{"issue":"8","key":"4671_CR2","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1016\/j.jacr.2017.05.001","volume":"14","author":"WW Mayo-Smith","year":"2017","unstructured":"Mayo-Smith WW, Song JH, Boland GL, Francis IR, Israel GM, Mazzaglia PJ, Berland LL, Pandharipande PV. Management of Incidental Adrenal Masses: A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol 2017;14(8):1038\u20131044. doi: https:\/\/doi.org\/10.1016\/j.jacr.2017.05.001","journal-title":"J Am Coll Radiol"},{"issue":"1","key":"4671_CR3","doi-asserted-by":"publisher","first-page":"G1-g42","DOI":"10.1093\/ejendo\/lvad066","volume":"189","author":"M Fassnacht","year":"2023","unstructured":"Fassnacht M, Tsagarakis S, Terzolo M, Tabarin A, Sahdev A, Newell-Price J, Pelsma I, Marina L, Lorenz K, Bancos I, Arlt W, Dekkers OM. European Society of Endocrinology clinical practice guidelines on the management of adrenal incidentalomas, in collaboration with the European Network for the Study of Adrenal Tumors. Eur J Endocrinol 2023;189(1):G1-g42. doi: https:\/\/doi.org\/10.1093\/ejendo\/lvad066","journal-title":"Eur J Endocrinol"},{"issue":"10","key":"4671_CR4","doi-asserted-by":"publisher","first-page":"870","DOI":"10.1001\/jamasurg.2022.3544","volume":"157","author":"L Yip","year":"2022","unstructured":"Yip L, Duh QY, Wachtel H, Jimenez C, Sturgeon C, Lee C, Vel\u00e1zquez-Fern\u00e1ndez D, Berber E, Hammer GD, Bancos I, Lee JA, Marko J, Morris-Wiseman LF, Hughes MS, Livhits MJ, Han MA, Smith PW, Wilhelm S, Asa SL, Fahey TJ, 3rd, McKenzie TJ, Strong VE, Perrier ND. American Association of Endocrine Surgeons Guidelines for Adrenalectomy: Executive Summary. JAMA Surg 2022;157(10):870\u2013877. doi: https:\/\/doi.org\/10.1001\/jamasurg.2022.3544","journal-title":"JAMA Surg"},{"issue":"1","key":"4671_CR5","doi-asserted-by":"publisher","first-page":"201","DOI":"10.2214\/ajr.171.1.9648789","volume":"171","author":"GW Boland","year":"1998","unstructured":"Boland GW, Lee MJ, Gazelle GS, Halpern EF, McNicholas MM, Mueller PR. Characterization of adrenal masses using unenhanced CT: an analysis of the CT literature. AJR Am J Roentgenol 1998;171(1):201\u2013204. doi: https:\/\/doi.org\/10.2214\/ajr.171.1.9648789","journal-title":"AJR Am J Roentgenol"},{"issue":"5","key":"4671_CR6","doi-asserted-by":"publisher","first-page":"804","DOI":"10.2214\/ajr.22.27901","volume":"219","author":"MT Corwin","year":"2022","unstructured":"Corwin MT, Badawy M, Caoili EM, Carney BW, Colak C, Elsayes KM, Gerson R, Klimkowski SP, McPhedran R, Pandya A, Pouw ME, Schieda N, Song JH, Remer EM. Incidental Adrenal Nodules in Patients Without Known Malignancy: Prevalence of Malignancy and Utility of Washout CT for Characterization-A Multiinstitutional Study. AJR Am J Roentgenol 2022;219(5):804\u2013812. doi: https:\/\/doi.org\/10.2214\/ajr.22.27901","journal-title":"AJR Am J Roentgenol"},{"issue":"3","key":"4671_CR7","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1148\/radiol.2223010766","volume":"222","author":"EM Caoili","year":"2002","unstructured":"Caoili EM, Korobkin M, Francis IR, Cohan RH, Platt JF, Dunnick NR, Raghupathi KI. Adrenal masses: characterization with combined unenhanced and delayed enhanced CT. Radiology 2002;222(3):629\u2013633. doi: https:\/\/doi.org\/10.1148\/radiol.2223010766","journal-title":"Radiology"},{"issue":"3","key":"4671_CR8","doi-asserted-by":"publisher","first-page":"536","DOI":"10.2214\/ajr.14.12941","volume":"204","author":"JM Ream","year":"2015","unstructured":"Ream JM, Gaing B, Mussi TC, Rosenkrantz AB. Characterization of Adrenal Lesions at Chemical-Shift MRI: A Direct Intraindividual Comparison of In- and Opposed-Phase Imaging at 1.5 T and 3 T. American Journal of Roentgenology 2015;204(3):536\u2013541. doi: https:\/\/doi.org\/10.2214\/ajr.14.12941","journal-title":"American Journal of Roentgenology"},{"issue":"1","key":"4671_CR9","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s00330-011-2244-x","volume":"22","author":"D Marin","year":"2012","unstructured":"Marin D, Dale BM, Bashir MR, Ziemlewicz TJ, Ringe KI, Boll DT, Merkle EM. Effectiveness of a three-dimensional dual gradient echo two-point Dixon technique for the characterization of adrenal lesions at 3 Tesla. Eur Radiol 2012;22(1):259\u2013268. doi: https:\/\/doi.org\/10.1007\/s00330-011-2244-x","journal-title":"Eur Radiol"},{"issue":"3","key":"4671_CR10","doi-asserted-by":"publisher","first-page":"632","DOI":"10.2214\/ajr.19.21342","volume":"213","author":"MT Corwin","year":"2019","unstructured":"Corwin MT, Navarro SM, Malik DG, Loehfelm TW, Fananapazir G, Wilson M, Campbell MJ. Differences in Growth Rate on CT of Adrenal Adenomas and Malignant Adrenal Nodules. AJR Am J Roentgenol 2019;213(3):632\u2013636. doi: https:\/\/doi.org\/10.2214\/ajr.19.21342","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"4671_CR11","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.jacr.2023.04.027","volume":"21","author":"MP Wilson","year":"2024","unstructured":"Wilson MP, Randhawa S, Bao B, Croutze R, Murad MH, McInnes MDF, Low G. Impact of Size Thresholds on the Diagnosis of Incidental Adrenal Lesions: A Systematic Review and Meta-Analysis. J Am Coll Radiol 2024;21(1):107\u2013117. doi: https:\/\/doi.org\/10.1016\/j.jacr.2023.04.027","journal-title":"J Am Coll Radiol"},{"issue":"9","key":"4671_CR12","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1210\/clinem\/dgad138","volume":"108","author":"M Schaafsma","year":"2023","unstructured":"Schaafsma M, Berends AMA, Links TP, Brouwers AH, Kerstens MN. The Diagnostic Value of 18F-FDG PET\/CT Scan in Characterizing Adrenal Tumors. J Clin Endocrinol Metab 2023;108(9):2435\u20132445. doi: https:\/\/doi.org\/10.1210\/clinem\/dgad138","journal-title":"J Clin Endocrinol Metab"},{"issue":"4","key":"4671_CR13","doi-asserted-by":"publisher","first-page":"834","DOI":"10.2214\/ajr.12.9753","volume":"201","author":"BG Northcutt","year":"2013","unstructured":"Northcutt BG, Raman SP, Long C, Oshmyansky AR, Siegelman SS, Fishman EK, Johnson PT. MDCT of adrenal masses: Can dual-phase enhancement patterns be used to differentiate adenoma and pheochromocytoma? AJR Am J Roentgenol 2013;201(4):834\u2013839. doi: https:\/\/doi.org\/10.2214\/ajr.12.9753","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"4671_CR14","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1097\/rct.0000000000000343","volume":"40","author":"BG Northcutt","year":"2016","unstructured":"Northcutt BG, Trakhtenbroit MA, Gomez EN, Fishman EK, Johnson PT. Adrenal Adenoma and Pheochromocytoma: Comparison of Multidetector CT Venous Enhancement Levels and Washout Characteristics. J Comput Assist Tomogr 2016;40(2):194\u2013200. doi: https:\/\/doi.org\/10.1097\/rct.0000000000000343","journal-title":"J Comput Assist Tomogr"},{"issue":"12","key":"4671_CR15","doi-asserted-by":"publisher","first-page":"8247","DOI":"10.1007\/s00330-022-08867-4","volume":"32","author":"R Gerson","year":"2022","unstructured":"Gerson R, Tu W, Abreu-Gomez J, Udare A, McPhedran R, Ramsay T, Schieda N. Evaluation of the T2-weighted (T2W) adrenal MRI calculator to differentiate adrenal pheochromocytoma from lipid-poor adrenal adenoma. Eur Radiol 2022;32(12):8247\u20138255. doi: https:\/\/doi.org\/10.1007\/s00330-022-08867-4","journal-title":"Eur Radiol"},{"issue":"3","key":"4671_CR16","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1007\/s00261-022-03729-5","volume":"48","author":"DI Glazer","year":"2023","unstructured":"Glazer DI, Mayo-Smith WW, Remer EM, Caoili EM, Song JH, Taffel MT, Lee JT, Brook OR, Shinagare AB, Blake MA, Elsayes KM, Schieda N, Westphalen AC, Campbell MJ, Corwin MT. Lexicon for adrenal terms at CT and MRI: a consensus of the Society of Abdominal Radiology adrenal neoplasm disease-focused panel. Abdom Radiol (NY) 2023;48(3):952\u2013975. doi: https:\/\/doi.org\/10.1007\/s00261-022-03729-5","journal-title":"Abdom Radiol (NY)"},{"issue":"1","key":"4671_CR17","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.mayocpiqo.2017.11.002","volume":"2","author":"NM I\u00f1iguez-Ariza","year":"2018","unstructured":"I\u00f1iguez-Ariza NM, Kohlenberg JD, Delivanis DA, Hartman RP, Dean DS, Thomas MA, Shah MZ, Herndon J, McKenzie TJ, Arlt W, Young WF, Jr., Bancos I. Clinical, Biochemical, and Radiological Characteristics of a Single-Center Retrospective Cohort of 705 Large Adrenal Tumors. Mayo Clin Proc Innov Qual Outcomes 2018;2(1):30\u201339. doi: https:\/\/doi.org\/10.1016\/j.mayocpiqo.2017.11.002","journal-title":"Mayo Clin Proc Innov Qual Outcomes"},{"issue":"1","key":"4671_CR18","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/s00261-018-1669-y","volume":"44","author":"SP Rowe","year":"2019","unstructured":"Rowe SP, Lugo-Fagundo C, Ahn H, Fishman EK, Prescott JD. What the radiologist needs to know: the role of preoperative computed tomography in selection of operative approach for adrenalectomy and review of operative techniques. Abdom Radiol (NY) 2019;44(1):140\u2013153. doi: https:\/\/doi.org\/10.1007\/s00261-018-1669-y","journal-title":"Abdom Radiol (NY)"},{"issue":"2","key":"4671_CR19","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1507\/endocrj.EJ18-0486","volume":"67","author":"T Ichijo","year":"2020","unstructured":"Ichijo T, Ueshiba H, Nawata H, Yanase T. A nationwide survey of adrenal incidentalomas in Japan: the first report of clinical and epidemiological features. Endocr J 2020;67(2):141\u2013152. doi: https:\/\/doi.org\/10.1507\/endocrj.EJ18-0486","journal-title":"Endocr J"},{"issue":"6","key":"4671_CR20","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1530\/eje-10-1147","volume":"164","author":"M Terzolo","year":"2011","unstructured":"Terzolo M, Stigliano A, Chiodini I, Loli P, Furlani L, Arnaldi G, Reimondo G, Pia A, Toscano V, Zini M, Borretta G, Papini E, Garofalo P, Allolio B, Dupas B, Mantero F, Tabarin A. AME position statement on adrenal incidentaloma. Eur J Endocrinol 2011;164(6):851\u2013870. doi: https:\/\/doi.org\/10.1530\/eje-10-1147","journal-title":"Eur J Endocrinol"},{"issue":"2","key":"4671_CR21","doi-asserted-by":"publisher","first-page":"200","DOI":"10.3803\/EnM.2017.32.2.200","volume":"32","author":"JM Lee","year":"2017","unstructured":"Lee JM, Kim MK, Ko SH, Koh JM, Kim BY, Kim SW, Kim SK, Kim HJ, Ryu OH, Park J, Lim JS, Kim SY, Shong YK, Yoo SJ. Clinical Guidelines for the Management of Adrenal Incidentaloma. Endocrinol Metab (Seoul) 2017;32(2):200\u2013218. doi: https:\/\/doi.org\/10.3803\/EnM.2017.32.2.200","journal-title":"Endocrinol Metab (Seoul)"},{"issue":"4","key":"4671_CR22","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1097\/00004728-197710000-00016","volume":"1","author":"RA Brooks","year":"1977","unstructured":"Brooks RA. A quantitative theory of the Hounsfield unit and its application to dual energy scanning. J Comput Assist Tomogr 1977;1(4):487\u2013493. doi: https:\/\/doi.org\/10.1097\/00004728-197710000-00016","journal-title":"J Comput Assist Tomogr"},{"issue":"3","key":"4671_CR23","doi-asserted-by":"publisher","first-page":"531","DOI":"10.2214\/ajr.166.3.8623622","volume":"166","author":"M Korobkin","year":"1996","unstructured":"Korobkin M, Brodeur FJ, Yutzy GG, Francis IR, Quint LE, Dunnick NR, Kazerooni EA. Differentiation of adrenal adenomas from nonadenomas using CT attenuation values. AJR Am J Roentgenol 1996;166(3):531\u2013536. doi: https:\/\/doi.org\/10.2214\/ajr.166.3.8623622","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"4671_CR24","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1148\/radiology.179.2.2014283","volume":"179","author":"MJ Lee","year":"1991","unstructured":"Lee MJ, Hahn PF, Papanicolaou N, Egglin TK, Saini S, Mueller PR, Simeone JF. Benign and malignant adrenal masses: CT distinction with attenuation coefficients, size, and observer analysis. Radiology 1991;179(2):415\u2013418. doi: https:\/\/doi.org\/10.1148\/radiology.179.2.2014283","journal-title":"Radiology"},{"issue":"2","key":"4671_CR25","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1148\/radiol.2382041514","volume":"238","author":"MA Blake","year":"2006","unstructured":"Blake MA, Kalra MK, Sweeney AT, Lucey BC, Maher MM, Sahani DV, Halpern EF, Mueller PR, Hahn PF, Boland GW. Distinguishing benign from malignant adrenal masses: multi-detector row CT protocol with 10-minute delay. Radiology 2006;238(2):578\u2013585. doi: https:\/\/doi.org\/10.1148\/radiol.2382041514","journal-title":"Radiology"},{"key":"4671_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-024-10984-1","author":"M Bonatti","year":"2024","unstructured":"Bonatti M, Valletta R, Corato V, Oberhofer N, Piffer S, Vingiani V, Posteraro A, Proner B, Lombardo F, Avesani G, Cepurnaite R, Zamboni GA. Impact of different peak tube voltage settings on adrenal adenomas attenuation at unenhanced CT. Eur Radiol 2024. doi: https:\/\/doi.org\/10.1007\/s00330-024-10984-1","journal-title":"Eur Radiol"},{"issue":"9","key":"4671_CR27","doi-asserted-by":"publisher","first-page":"4345","DOI":"10.1007\/s00261-021-03062-3","volume":"46","author":"J Cao","year":"2021","unstructured":"Cao J, Lennartz S, Parakh A, Joseph E, Blake M, Sahani D, Kambadakone A. Dual-layer dual-energy CT for characterization of adrenal nodules: can virtual unenhanced images replace true unenhanced acquisitions? Abdom Radiol (NY) 2021;46(9):4345\u20134352. doi: https:\/\/doi.org\/10.1007\/s00261-021-03062-3","journal-title":"Abdom Radiol (NY)"},{"issue":"2","key":"4671_CR28","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1148\/radiol.2020192227","volume":"296","author":"Y Nagayama","year":"2020","unstructured":"Nagayama Y, Inoue T, Oda S, Tanoue S, Nakaura T, Ikeda O, Yamashita Y. Adrenal Adenomas versus Metastases: Diagnostic Performance of Dual-Energy Spectral CT Virtual Noncontrast Imaging and Iodine Maps. Radiology 2020;296(2):324\u2013332. doi: https:\/\/doi.org\/10.1148\/radiol.2020192227","journal-title":"Radiology"},{"issue":"1","key":"4671_CR29","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1148\/radiol.220919","volume":"306","author":"S Lennartz","year":"2022","unstructured":"Lennartz S, Schoenbeck D, Kr\u00f6ger JR, Borggrefe J, Henning Niehoff J. Photon-counting CT Material Decomposition: Initial Experience in Assessing Adrenal Adenoma. Radiology 2022;306(1):202\u2013204. doi: https:\/\/doi.org\/10.1148\/radiol.220919","journal-title":"Radiology"},{"issue":"3","key":"4671_CR30","doi-asserted-by":"publisher","first-page":"747","DOI":"10.2214\/ajr.170.3.9490968","volume":"170","author":"M Korobkin","year":"1998","unstructured":"Korobkin M, Brodeur FJ, Francis IR, Quint LE, Dunnick NR, Londy F. CT time-attenuation washout curves of adrenal adenomas and nonadenomas. AJR Am J Roentgenol 1998;170(3):747\u2013752. doi: https:\/\/doi.org\/10.2214\/ajr.170.3.9490968","journal-title":"AJR Am J Roentgenol"},{"key":"4671_CR31","doi-asserted-by":"publisher","unstructured":"Pena CS, Boland GW, Hahn PF, Lee MJ, Mueller PR. Characterization of indeterminate (lipid-poor) adrenal masses: use of washout characteristics at contrast-enhanced CT. Radiology 2000;217(3):798\u2013802. doi: https:\/\/doi.org\/10.1148\/radiology.217.3.r00dc29798","DOI":"10.1148\/radiology.217.3.r00dc29798"},{"issue":"5","key":"4671_CR32","doi-asserted-by":"publisher","first-page":"1411","DOI":"10.2214\/ajr.175.5.1751411","volume":"175","author":"EM Caoili","year":"2000","unstructured":"Caoili EM, Korobkin M, Francis IR, Cohan RH, Dunnick NR. Delayed enhanced CT of lipid-poor adrenal adenomas. AJR Am J Roentgenol 2000;175(5):1411\u20131415. doi: https:\/\/doi.org\/10.2214\/ajr.175.5.1751411","journal-title":"AJR Am J Roentgenol"},{"issue":"11","key":"4671_CR33","doi-asserted-by":"publisher","first-page":"2804","DOI":"10.1007\/s00330-007-0695-x","volume":"17","author":"BK Park","year":"2007","unstructured":"Park BK, Kim CK, Kwon GY, Kim JH. Re-evaluation of pheochromocytomas on delayed contrast-enhanced CT: washout enhancement and other imaging features. Eur Radiol 2007;17(11):2804\u20132809. doi: https:\/\/doi.org\/10.1007\/s00330-007-0695-x","journal-title":"Eur Radiol"},{"issue":"2","key":"4671_CR34","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1148\/radiol.12120110","volume":"266","author":"YA Choi","year":"2013","unstructured":"Choi YA, Kim CK, Park BK, Kim B. Evaluation of adrenal metastases from renal cell carcinoma and hepatocellular carcinoma: use of delayed contrast-enhanced CT. Radiology 2013;266(2):514\u2013520. doi: https:\/\/doi.org\/10.1148\/radiol.12120110","journal-title":"Radiology"},{"issue":"5","key":"4671_CR35","doi-asserted-by":"publisher","first-page":"e2330769","DOI":"10.2214\/AJR.23.30769","volume":"222","author":"MT Corwin","year":"2024","unstructured":"Corwin MT, Caoili EM, Elsayes KM, Garratt J, Hackett CE, Hudson E, Mohd Z, Navin PJ, Sharbidre K, Shehata M, Wang MX, Wilson MD, Yalon M, Remer EM. Performance of CT With Adrenal-Washout Protocol in Heterogeneous Adrenal Nodules: A Multiinstitutional Study. AJR Am J Roentgenol 2024;222(5):e2330769. doi: https:\/\/doi.org\/10.2214\/AJR.23.30769","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"4671_CR36","doi-asserted-by":"publisher","first-page":"91","DOI":"10.2214\/ajr.165.1.7785642","volume":"165","author":"WW Mayo-Smith","year":"1995","unstructured":"Mayo-Smith WW, Lee MJ, McNicholas MM, Hahn PF, Boland GW, Saini S. Characterization of adrenal masses (< 5\u00a0cm) by use of chemical shift MR imaging: observer performance versus quantitative measures. AJR Am J Roentgenol 1995;165(1):91\u201395. doi: https:\/\/doi.org\/10.2214\/ajr.165.1.7785642","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"4671_CR37","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1007\/s00330-018-5626-5","volume":"29","author":"I Platzek","year":"2019","unstructured":"Platzek I, Sieron D, Plodeck V, Borkowetz A, Laniado M, Hoffmann RT. Chemical shift imaging for evaluation of adrenal masses: a systematic review and meta-analysis. Eur Radiol 2019;29(2):806\u2013817. doi: https:\/\/doi.org\/10.1007\/s00330-018-5626-5","journal-title":"Eur Radiol"},{"issue":"5","key":"4671_CR38","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.2214\/ajr.13.11389","volume":"202","author":"JM Seo","year":"2014","unstructured":"Seo JM, Park BK, Park SY, Kim CK. Characterization of lipid-poor adrenal adenoma: chemical-shift MRI and washout CT. AJR Am J Roentgenol 2014;202(5):1043\u20131050. doi: https:\/\/doi.org\/10.2214\/ajr.13.11389","journal-title":"AJR Am J Roentgenol"},{"key":"4671_CR39","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.ejrad.2016.11.001","volume":"86","author":"X Meng","year":"2017","unstructured":"Meng X, Chen X, Shen Y, Hu X, Tang H, Hu D, Li Z, Kamel IR. Proton-density fat fraction measurement: A viable quantitative biomarker for differentiating adrenal adenomas from nonadenomas. Eur J Radiol 2017;86:112\u2013118. doi: https:\/\/doi.org\/10.1016\/j.ejrad.2016.11.001","journal-title":"Eur J Radiol"},{"issue":"1","key":"4671_CR40","doi-asserted-by":"publisher","first-page":"132","DOI":"10.2214\/ajr.10.4583","volume":"197","author":"K Sandrasegaran","year":"2011","unstructured":"Sandrasegaran K, Patel AA, Ramaswamy R, Samuel VP, Northcutt BG, Frank MS, Francis IR. Characterization of adrenal masses with diffusion-weighted imaging. AJR Am J Roentgenol 2011;197(1):132\u2013138. doi: https:\/\/doi.org\/10.2214\/ajr.10.4583","journal-title":"AJR Am J Roentgenol"},{"issue":"12","key":"4671_CR41","doi-asserted-by":"publisher","first-page":"2885","DOI":"10.1007\/s00330-008-1073-z","volume":"18","author":"AE Jacques","year":"2008","unstructured":"Jacques AE, Sahdev A, Sandrasagara M, Goldstein R, Berney D, Rockall AG, Chew S, Reznek RH. Adrenal phaeochromocytoma: correlation of MRI appearances with histology and function. Eur Radiol 2008;18(12):2885\u20132892. doi: https:\/\/doi.org\/10.1007\/s00330-008-1073-z","journal-title":"Eur Radiol"},{"issue":"8","key":"4671_CR42","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/s0009-9260(97)80252-8","volume":"52","author":"JC Varghese","year":"1997","unstructured":"Varghese JC, Hahn PF, Papanicolaou N, Mayo-Smith WW, Gaa JA, Lee MJ. MR differentiation of phaeochromocytoma from other adrenal lesions based on qualitative analysis of T2 relaxation times. Clin Radiol 1997;52(8):603\u2013606. doi: https:\/\/doi.org\/10.1016\/s0009-9260(97)80252-8","journal-title":"Clin Radiol"},{"issue":"2","key":"4671_CR43","doi-asserted-by":"publisher","first-page":"302","DOI":"10.2214\/AJR.14.13273","volume":"205","author":"AA Borhani","year":"2015","unstructured":"Borhani AA, Hosseinzadeh K. Quantitative Versus Qualitative Methods in Evaluation of T2 Signal Intensity to Improve Accuracy in Diagnosis of Pheochromocytoma. AJR Am J Roentgenol 2015;205(2):302\u2013310. doi: https:\/\/doi.org\/10.2214\/AJR.14.13273","journal-title":"AJR Am J Roentgenol"},{"issue":"5","key":"4671_CR44","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.2214\/AJR.07.3447","volume":"191","author":"R Vikram","year":"2008","unstructured":"Vikram R, Yeung HD, Macapinlac HA, Iyer RB. Utility of PET\/CT in differentiating benign from malignant adrenal nodules in patients with cancer. American journal of roentgenology 2008;191(5):1545\u20131551.","journal-title":"American journal of roentgenology"},{"issue":"3","key":"4671_CR45","doi-asserted-by":"publisher","first-page":"369","DOI":"10.2967\/jnumed.118.211706","volume":"60","author":"S Han","year":"2019","unstructured":"Han S, Suh CH, Woo S, Kim YJ, Lee JJ. Performance of (68)Ga-DOTA-Conjugated Somatostatin Receptor-Targeting Peptide PET in Detection of Pheochromocytoma and Paraganglioma: A Systematic Review and Metaanalysis. J Nucl Med 2019;60(3):369\u2013376. doi: https:\/\/doi.org\/10.2967\/jnumed.118.211706","journal-title":"J Nucl Med"},{"issue":"10","key":"4671_CR46","doi-asserted-by":"publisher","first-page":"2112","DOI":"10.1007\/s00259-019-04398-1","volume":"46","author":"D Ta\u00efeb","year":"2019","unstructured":"Ta\u00efeb D, Hicks RJ, Hindi\u00e9 E, Guillet BA, Avram A, Ghedini P, Timmers HJ, Scott AT, Elojeimy S, Rubello D, Virgolini IJ, Fanti S, Balogova S, Pandit-Taskar N, Pacak K. European Association of Nuclear Medicine Practice Guideline\/Society of Nuclear Medicine and Molecular Imaging Procedure Standard 2019 for radionuclide imaging of phaeochromocytoma and paraganglioma. Eur J Nucl Med Mol Imaging 2019;46(10):2112\u20132137. doi: https:\/\/doi.org\/10.1007\/s00259-019-04398-1","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"4671_CR47","doi-asserted-by":"publisher","unstructured":"Mendichovszky IA, Powlson AS, Manavaki R, Aigbirhio FI, Cheow H, Buscombe JR, Gurnell M, Gilbert FJ. Targeted Molecular Imaging in Adrenal Disease-An Emerging Role for Metomidate PET-CT. Diagnostics (Basel) 2016;6(4). doi: https:\/\/doi.org\/10.3390\/diagnostics6040042","DOI":"10.3390\/diagnostics6040042"},{"issue":"1","key":"4671_CR48","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1038\/s41591-022-02114-5","volume":"29","author":"X Wu","year":"2023","unstructured":"Wu X, Senanayake R, Goodchild E, Bashari WA, Salsbury J, Cabrera CP, Argentesi G, O\u2019Toole SM, Matson M, Koo B, Parvanta L, Hilliard N, Kosmoliaptsis V, Marker A, Berney DM, Tan W, Foo R, Mein CA, Wozniak E, Savage E, Sahdev A, Bird N, Laycock K, Boros I, Hader S, Warnes V, Gillett D, Dawnay A, Adeyeye E, Prete A, Taylor AE, Arlt W, Bhuva AN, Aigbirhio F, Manisty C, McIntosh A, McConnachie A, Cruickshank JK, Cheow H, Gurnell M, Drake WM, Brown MJ. [(11)C]metomidate PET-CT versus adrenal vein sampling for diagnosing surgically curable primary aldosteronism: a prospective, within-patient trial. Nat Med 2023;29(1):190\u2013202. doi: https:\/\/doi.org\/10.1038\/s41591-022-02114-5","journal-title":"Nat Med"},{"issue":"3","key":"4671_CR49","doi-asserted-by":"publisher","first-page":"368","DOI":"10.2967\/jnumed.121.261964","volume":"63","author":"J Ding","year":"2022","unstructured":"Ding J, Tong A, Zhang Y, Wen J, Zhang H, Hacker M, Huo L, Li X. Functional Characterization of Adrenocortical Masses in Nononcologic Patients Using (68)Ga-Pentixafor. J Nucl Med 2022;63(3):368\u2013375. doi: https:\/\/doi.org\/10.2967\/jnumed.121.261964","journal-title":"J Nucl Med"},{"issue":"1","key":"4671_CR50","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.surg.2022.07.029","volume":"173","author":"T Yalon","year":"2023","unstructured":"Yalon T, Yalon M, Assaf D, Lenartowicz K, Foster T, Lyden M, Dy B, Bancos I, McKenzie T. Differentiating between adrenocortical carcinoma and lipid-poor cortical adenoma: A novel cross-sectional imaging-based score. Surgery 2023;173(1):35\u201342. doi: https:\/\/doi.org\/10.1016\/j.surg.2022.07.029","journal-title":"Surgery"},{"issue":"2","key":"4671_CR51","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology 2016;278(2):563\u2013577. doi: https:\/\/doi.org\/10.1148\/radiol.2015151169","journal-title":"They Are Data. Radiology"},{"issue":"12","key":"4671_CR52","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1016\/j.diii.2020.10.001","volume":"101","author":"T Nakaura","year":"2020","unstructured":"Nakaura T, Higaki T, Awai K, Ikeda O, Yamashita Y. A primer for understanding radiology articles about machine learning and deep learning. Diagnostic and Interventional Imaging 2020;101(12):765\u2013770.","journal-title":"Diagnostic and Interventional Imaging"},{"issue":"1","key":"4671_CR53","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.diii.2022.09.003","volume":"104","author":"M Barat","year":"2023","unstructured":"Barat M, Gaillard M, Cottereau A-S, Fishman EK, Assi\u00e9 G, Jouinot A, Hoeffel C, Soyer P, Dohan A. Artificial intelligence in adrenal imaging: A critical review of current applications. Diagnostic and Interventional Imaging 2023;104(1):37\u201342. doi: https:\/\/doi.org\/10.1016\/j.diii.2022.09.003","journal-title":"Diagnostic and Interventional Imaging"},{"issue":"2","key":"4671_CR54","doi-asserted-by":"publisher","first-page":"e220101","DOI":"10.1148\/radiol.220101","volume":"306","author":"C Robinson-Weiss","year":"2023","unstructured":"Robinson-Weiss C, Patel J, Bizzo BC, Glazer DI, Bridge CP, Andriole KP, Dabiri B, Chin JK, Dreyer K, Kalpathy-Cramer J, Mayo-Smith WW. Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT. Radiology 2023;306(2):e220101. doi: https:\/\/doi.org\/10.1148\/radiol.220101","journal-title":"Radiology"},{"issue":"1","key":"4671_CR55","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1007\/s00330-023-10090-8","volume":"34","author":"G Feliciani","year":"2024","unstructured":"Feliciani G, Serra F, Menghi E, Ferroni F, Sarnelli A, Feo C, Zatelli MC, Ambrosio MR, Giganti M, Carnevale A. Radiomics in the characterization of lipid-poor adrenal adenomas at unenhanced CT: time to look beyond usual density metrics. European Radiology 2024;34(1):422\u2013432. doi: https:\/\/doi.org\/10.1007\/s00330-023-10090-8","journal-title":"European Radiology"},{"issue":"10","key":"4671_CR56","doi-asserted-by":"publisher","first-page":"e711-e718","DOI":"10.1016\/j.crad.2022.06.015","volume":"77","author":"A O\u2019Shea","year":"2022","unstructured":"O\u2019Shea A, Kilcoyne A, McDermott E, O\u2019Grady M, McDermott S. Can radiomic feature analysis differentiate adrenal metastases from lipid-poor adenomas on single-phase contrast-enhanced CT abdomen? Clinical Radiology 2022;77(10):e711-e718. doi: https:\/\/doi.org\/10.1016\/j.crad.2022.06.015","journal-title":"Clinical Radiology"},{"issue":"1","key":"4671_CR57","doi-asserted-by":"publisher","first-page":"8892","DOI":"10.1038\/s41598-022-12835-9","volume":"12","author":"P-T Chen","year":"2022","unstructured":"Chen P-T, Chang D, Liu K-L, Liao W-C, Wang W, Chang C-C, Wu V-C, Lin Y-H. Radiomics utilization to differentiate nonfunctional adenoma in essential hypertension and functional adenoma in primary aldosteronism. Scientific Reports 2022;12(1):8892. doi: https:\/\/doi.org\/10.1038\/s41598-022-12835-9","journal-title":"Scientific Reports"},{"issue":"2","key":"4671_CR58","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1148\/radiol.2019191586","volume":"293","author":"JR Geis","year":"2019","unstructured":"Geis JR, Brady AP, Wu CC, Spencer J, Ranschaert E, Jaremko JL, Langer SG, Borondy Kitts A, Birch J, Shields WF, van den Hoven van Genderen R, Kotter E, Wawira Gichoya J, Cook TS, Morgan MB, Tang A, Safdar NM, Kohli M. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement. Radiology 2019;293(2):436\u2013440. doi: https:\/\/doi.org\/10.1148\/radiol.2019191586","journal-title":"Radiology"},{"key":"4671_CR59","unstructured":"Toward a Code of Conduct Framework for Artificial Intelligence in Health, Health Care, and Biomedical Science. National Academy of Medicine. https:\/\/nam.edu\/programs\/value-science-driven-health-care\/health-care-artificial-intelligence-code-of-conduct\/. Published 2024. Accessed 2024 10\/25\/2024."}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-024-04671-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-024-04671-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-024-04671-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T15:02:20Z","timestamp":1744383740000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-024-04671-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,13]]},"references-count":59,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["4671"],"URL":"https:\/\/doi.org\/10.1007\/s00261-024-04671-4","relation":{},"ISSN":["2366-0058"],"issn-type":[{"type":"electronic","value":"2366-0058"}],"subject":[],"published":{"date-parts":[[2024,11,13]]},"assertion":[{"value":"26 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 November 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}