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. 2021 Aug;31(8):5948-5958.
doi: 10.1007/s00330-020-07648-1. Epub 2021 Jan 18.

Hyperattenuating adrenal lesions in lung cancer: biphasic CT with unenhanced and 1-min enhanced images reliably predicts benign lesions

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Hyperattenuating adrenal lesions in lung cancer: biphasic CT with unenhanced and 1-min enhanced images reliably predicts benign lesions

Ho Yun Lee et al. Eur Radiol. 2021 Aug.

Abstract

Objectives: To investigate usefulness of biphasic computed tomography (CT) in characterizing hyperattenuating adrenal lesions in lung cancer.

Methods: This retrospective study included 239 patients with lung cancer who underwent adrenal CT for hyperattenuating (> 10 Hounsfield unit) adrenal lesions. Adrenal CT comprised unenhanced and 1-min and 15-min enhanced images. We dichotomized adrenal lesions depending on benign or metastatic lesions. Reference standard for benignity was histologic confirmation or ≥ 6-month stability on follow-up CT. Two independent readers analyzed absolute (APW) or relative percentage wash-out (RPW) using triphasic CT, and enhancement ratio (ER) or percentage wash-in (PWI) using biphasic CT (i.e., unenhanced and 1-min enhanced CT). Criteria for benignity were as follows: criteria 1, (a) APW ≥ 60% or (b) RPW ≥ 40%, and criteria 2, (a) ER > 3 and (b) PWI > 200%. We analyzed area under the curve (AUC) and accuracy for benignity, and inter-reader agreement.

Results: Proportion of benign adrenal lesion was 71.1% (170/239). For criteria 1 and 2, AUCs were 0.872 (95% confidence interval [CI], 0.822-0.911) and 0.886 (95% CI, 0.838-0.923), respectively, for reader 1 (p = 0.566) and 0.816 (95% CI, 0.761-0.863) and 0.814 (95% CI, 0.759-0.862), respectively, for reader 2 (p = 0.955), and accuracies were 87.9% (210/239) and 86.2% (206/239), respectively, for reader 1 (p = 0.479) and 81.2% (194/239) and 80.3% (192/239), respectively, for reader 2 (p = 0.763). Weighted kappa was 0.725 (95% CI, 0.634-0.816) for criteria 1 and 0.736 (95% CI, 0.649-0.824) for criteria 2.

Conclusion: Biphasic CT can reliably characterize hyperattenuating adrenal lesions in patients with lung cancer.

Key points: • Criteria from biphasic computed tomography (CT) for diagnosing benign adrenal lesions were enhancement ratio of > 3 and percentage wash-in of > 200%. • In the analysis by two independent readers, area under the curve between criteria 1 and 2 was not significantly different (0.872 and 0.886 for reader 1; 0.816 and 0.814, for reader 2; p > 0.05 for each comparison). • Wash-in characteristics from biphasic CT are helpful to predict benign adrenal lesions in lung cancer.

Keywords: Adrenal; Lung cancer; Metastasis; Tomography.

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References

    1. Riihimaki M, Hemminki A, Fallah M et al (2014) Metastatic sites and survival in lung cancer. Lung Cancer 86:78–84 - DOI
    1. Oikawa A, Takahashi H, Ishikawa H, Kurishima K, Kagohashi K, Satoh H (2012) Application of conditional probability analysis to distant metastases from lung cancer. Oncol Lett 3:629–634 - DOI
    1. Expert Panel on Thoracic Imaging, de Groot PM, Chung JH et al (2019) ACR Appropriateness Criteria((R)) noninvasive clinical staging of primary lung cancer. J Am Coll Radiol 16:S184–S195
    1. Cohen SL, Ward TJ, Cham MD (2020) The relationship between CT scout landmarks and lung boundaries on chest CT: guidelines for minimizing excess z-axis scan length. Eur Radiol 30:581–587 - DOI
    1. Detterbeck FC, Boffa DJ, Kim AW, Tanoue LT (2017) The eighth edition lung cancer stage classification. Chest 151:193–203 - DOI

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