Literature DB >> 21926850

Imaging characteristics of hyperfunctioning parathyroid adenomas using multiphase multidectector computed tomography: a quantitative and qualitative approach.

Thinh H Vu1, Nandita Guha-Thakurta, Robyn K Harrell, Salmaan Ahmed, Ashok J Kumar, Valen E Johnson, Nancy D Perrier, Leena M Hamberg, George J Hunter, Dawid Schellingerhout.   

Abstract

OBJECTIVE: The objective of the study was to characterize the enhancement pattern of hyperfunctioning parathyroid adenomas on multiphase multidetector computed tomography (CT) or 4-dimensional CT.
METHODS: We retrospectively studied the enhancement patterns of 48 pathologically confirmed parathyroid adenomas with 4-dimensional CT, compliant with institutional review and the Health Insurance Portability and Accountability Act. Region-of-interest analysis was done at baseline and at arterial (25 seconds), venous (55 seconds), and delayed (85 seconds) enhancement phases over the adenoma and adjacent normal thyroid tissue. Qualitative and quantitative analysis was done. Discriminant functions were calculated using a multivariate logistic regression model, and receiver operating characteristic curves were measured.
RESULTS: Adenomas are lower than thyroid in density, demonstrate avid early contrast enhancement, and show rapid wash-out of contrast. Adenomas and thyroid had baseline Hounsfield unit attenuations of 35 ± 11 and 94 ± 21 and enhancement percentage change from baseline to arterial of 493% ± 328% and 132% ± 148%, respectively (P < 0.0001 both). Quantitative analysis showed that these 2 measures of baseline density and the percentage change from baseline to arterial were the most powerful discriminatory features, with contrast wash-out from arterial peak to venous phase being a less powerful discriminator. Several discriminant functions were derived, the best of which was: X = 13.74 - (0.207 × baseline Hounsfield unit) - (0.006 × percent density change from baseline to arterial). X > 0.2 classifies tissue as parathyroid with high certainty (area under the receiver operating characteristic curve = 0.98; specificity, 0.938; sensitivity, 0.999).
CONCLUSIONS: Parathyroid adenomas have a characteristic enhancement pattern that can be distinguished from thyroid tissue: the key diagnostic discriminators are baseline density, percentage change in density from baseline to arterial enhancement, and percentage decrease in density from arterial to venous phases.

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Year:  2011        PMID: 21926850     DOI: 10.1097/RCT.0b013e31822a1e70

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  5 in total

1.  Effect of tumor volume on the enhancement pattern of parathyroid adenoma on parathyroid four-dimensional CT.

Authors:  Eun Kyoung Lee; Tae Jin Yun; Ji-Hoon Kim; Kyu Eun Lee; Su-Jin Kim; Jae-Kyung Won; Koung Mi Kang; Seung Hong Choi; Chul-Ho Sohn
Journal:  Neuroradiology       Date:  2016-02-05       Impact factor: 2.804

2.  Distinguishing Recurrent Thyroid Cancer from Residual Nonmalignant Thyroid Tissue Using Multiphasic Multidetector CT.

Authors:  J M Debnam; N Guha-Thakurta; J Sun; W Wei; M E Zafereo; M E Cabanillas; N M Buisson; D Schellingerhout
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       Impact factor: 3.825

Review 3.  Pediatric hyperparathyroidism: review and imaging update.

Authors:  Hedieh Khalatbari; Safia H E Cheeney; Scott C Manning; Marguerite T Parisi
Journal:  Pediatr Radiol       Date:  2021-04-27

4.  Distinguishing Intrathyroid Parathyroid Adenoma from Colloid Nodules and Papillary Thyroid Carcinomas Using Multiphasic Multidetector Computed Tomography.

Authors:  J Matthew Debnam; T Linda Chi; Michael Kwon; Jia Sun; Dawid Schellingerhout; Brandon T Golant; Salmaan Ahmed; Nancy D Perrier; Thinh Vu
Journal:  J Comput Assist Tomogr       Date:  2022-09-03       Impact factor: 2.081

Review 5.  Parathyroid Imaging: Past, Present, and Future.

Authors:  Michael A Morris; Babak Saboury; Mark Ahlman; Ashkan A Malayeri; Elizabeth C Jones; Clara C Chen; Corina Millo
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-25       Impact factor: 5.555

  5 in total

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