The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Incidental adrenal lesions: accuracy of characterization with contrast-enhanced washout multidetector CT – 10-minute delayed imaging protocol revisited in a large patient cohort
Abstract
PURPOSE: To reassess the accuracy of the 10-minute delayed scan to differentiate both lipid-rich and lipid-poor lesions in a large cohort of patients. MATERIALS AND METHODS: This HIPAA-compliant retrospective study had institutional review board approval; the need for informed consent was waived. A multidetector computed tomography (CT) adrenal protocol (unenhanced, dynamic contrast material-enhanced, and 10-minute delayed CT) was used in 314 consecutive patients (201 women, 113 men; mean age, 63.6 years) for the period from January 2006 through February 2009. The mean adrenal attenuation during all three CT phases was measured by two readers, and the relative percentage washout (RPW) and absolute percentage washout (APW) values were calculated. APW and RPW receiver operating characteristic (ROC) analysis was performed to evaluate the strength of the tests. RESULTS: There were 323 adrenal lesions (213 left, 110 right) consisting of 307 adenomas and 16 nonadenomas. The sensitivity, specificity, and accuracy for the RPW test at a washout threshold of 50% were 55.7%, 100%, and 57.9%, respectively; at 40% were 76.9%, 93.7%, and 77.7%; and at 35% were 81.4%, 93.7%, and 82.0%. The sensitivity, specificity, and accuracy for the APW test at a 60% threshold were 52.1%, 93.3%, and 54.0%, respectively; at 55% were 62.5%, 93.3%, and 64.0%; and at 50% were 71.3%, 80.0%, and 71.7%. Areas under the ROC curve were 0.85 (95% confidence interval: 0.75, 0.95) and 0.91 (95% confidence interval: 0.85, 0.97) for the APW and RPW tests, respectively, to detect adenomatous disease. CONCLUSION: The 10-minute delayed adrenal enhancement washout test has reduced sensitivity for the characterization of adrenal adenomas compared with results from prior studies.
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“However, some studies suggest a higher prevalence of left-sided adrenal tumors detected on imaging (81,88,89), for example, the COAR study cohort described above (81).”
From Adrenal incidentaloma (2020) · cites this paper as [89]
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Cites
Characterization of adrenal masses using unenhanced CT: an analysis of the CT literature
Boland, G. W., Lee, M. J., Gazelle, G. S., Halpern, E. F., McNicholas, M. M., & Mueller, P. R. (1998) · American Journal of Roentgenology · doi:10.2214/ajr.171.1.9648789 · Cited by 693
Self-citationAdrenal Masses: Characterization with Combined Unenhanced and Delayed Enhanced CT
Caoili, E. M., KOROBKIN, M. T., Francis, I. R., Cohan, R. H., Platt, J. F., Dunnick, N. R., & Raghupathi, K. I. (2002) · Radiology · doi:10.1148/radiol.2223010766 · Cited by 684
Song, J. H., Chaudhry, F. S., & Mayo-Smith, W. W. (2008) · American Journal of Roentgenology · doi:10.2214/ajr.07.2799 · Cited by 579
Peña, C. S., Boland, G. W. L., Hahn, P. F., Lee, M. J., & Mueller, P. R. (2000) · Radiology · doi:10.1148/radiology.217.3.r00dc29798 · Cited by 399
Self-citationLee, M. J., Hahn, P. F., Papanicolaou, N., Egglin, T. K., Saini, S., Müeller, P. R., & Simeone, J. F. (1991) · Radiology · doi:10.1148/radiology.179.2.2014283 · Cited by 390
Self-citationCT time-attenuation washout curves of adrenal adenomas and nonadenomas
Korobkin, M., Brodeur, F. J., Francis, I. R., Quint, L. E., Dunnick, N. R., & Londy, F. (1998) · American Journal of Roentgenology · doi:10.2214/ajr.170.3.9490968 · Cited by 386
Incidental Adrenal Lesions: Principles, Techniques, and Algorithms for Imaging Characterization
Boland, G. W., Blake, M. A., Hahn, P. F., & Mayo-Smith, W. W. (2008) · Radiology · doi:10.1148/radiol.2493070976 · Cited by 381
Self-citation18F-FDG PET in characterizing adrenal lesions detected on CT or MRI.
Yun, M., Kim, W., Alnafisi, N., Lacorte, L., Jang, S., & Alavi, A. A. (2001) · PubMed · Cited by 336
Szolar, D. H., Korobkin, M., Reittner, P., Berghold, A., Bauernhofer, T., Trummer, H., Schoellnast, H., Preidler, K. W., & Samonigg, H. (2005) · Radiology · doi:10.1148/radiol.2342031876 · Cited by 314
Delayed enhanced CT of lipid-poor adrenal adenomas
Caoili, E. M., Korobkin, M., Francis, I. R., Cohan, R. H., & Dunnick, N. R. (2000) · American Journal of Roentgenology · doi:10.2214/ajr.175.5.1751411 · Cited by 305
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- Yun M, 2001, J Nucl Med, 42, 1795
- Metser U, 2006, J Nucl Med, 47, 32
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Wang, M. X., Dong, B. X., Huang, M. T., Meng, B. J., Kuang, M. Y., Kang, B. J., Bai, M. R., & Li, Z. (2021) · Advanced ultrasound in diagnosis and therapy · doi:10.37015/audt.2021.210020
Du, K., Heilbrun, M. E., & Bishoff, J. T. (2015) · Springer eBooks · doi:10.1007/978-3-319-23464-9_26
Du, K., Heilbrun, M. E., & Bishoff, J. T. (2021) · Springer eBooks · doi:10.1007/978-3-030-73565-4_31
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Singh, A., Jaipal, U., & Mendiratta, K. (2022) · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · doi:10.36106/ijsr/1308442
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Jones, J., Hacking, C., & Knipe, H. (2008) · Radiopaedia.org · doi:10.53347/rid-862
Optimización del uso de las imágenes en la patología suprarrenal (parte 2)
Binda, M. C., Afione, C., Miklaszewski, J., Pardes, E., Enríquez, E., & López, R. L. (2013) · Revista Argentina de Radiología / Argentinian Journal of Radiology · doi:10.7811/rarv77n4a03
Libé, R., & Bertherat, J. Y. (2018) · EMC - Tratado de Medicina · doi:10.1016/s1636-5410(18)41300-1
Schabel, C., & Marin, D. (2017) · Medical radiology · doi:10.1007/174_2017_171
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Park, S. Y., & Kim, S. H. (2025) · Springer eBooks · doi:10.1007/978-981-99-2954-2_30-1
Park, S. Y., & Kim, S. H. (2026) · Springer eBooks · doi:10.1007/978-981-95-2425-9_30
Afraz, Z., Lanzafame, L. R. M., Bucolo, G. M., D’Angelo, T., Saba, L., Gruenewald, L. D., Koch, V., Nica, A. I., Yel, İ., Eichler, K., et al. (2026) · La radiologia medica · doi:10.1007/s11547-026-02234-9
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Metadata
- Authors
- Sangwaiya, M. J., Boland, G. W. L., Cronin, C. G., Blake, M. A., Halpern, E. F., & Hahn, P. F.
- Affiliations
- Massachusetts General Hospital (US)
- Venue
- Radiology
- Published
- 2010-08
- Volume
- 256
- Issue
- 2
- Pages
- 504-510
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2086743806
- Cited by
- 132
- References
- 21
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 6 · 2022: 11 · 2021: 7 · 2020: 7 · 2019: 9 · 2018: 11 · 2017: 8 · 2016: 5 · 2015: 9 · 2014: 6 · 2013: 16 · 2012: 10
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Adrenal and Paraganglionic Tumors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adrenal Hormones and Disorders
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- adrenal mass, adrenal adenoma, diagnostic accuracy, sensitivity and specificity, receiver operating characteristic, multidetector computed tomography, adrenal pheochromocytoma
- MeSH terms
- Adrenal Gland Neoplasms, Contrast Media, Female, Humans, Iopamidol, Male, Middle Aged, Sensitivity and Specificity, Tomography, X-Ray Computed, Reproducibility of Results, Cohort Studies, Incidence, Adrenocortical Adenoma, Incidental Findings
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