Hounsfield Unit Values in ACR TI-RADS 4-5 Thyroid Nodules with Coarse Calcifications: An Important Imaging Feature Helpful for Diagnosis.

ACR TI-RADS Hounsfield unit value coarse calcification computed tomography thyroid nodule ultrasonography

Journal

Cancer management and research
ISSN: 1179-1322
Titre abrégé: Cancer Manag Res
Pays: New Zealand
ID NLM: 101512700

Informations de publication

Date de publication:
2020
Historique:
received: 16 12 2019
accepted: 02 04 2020
entrez: 6 5 2020
pubmed: 6 5 2020
medline: 6 5 2020
Statut: epublish

Résumé

The purpose of this study is to investigate the diagnostic role of Hounsfield unit (HU) values on noncontrast computed tomography (CT) for differentiating benignity from malignancy in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) 4-5 nodules with coarse calcifications. CT images of 216 ACR TI-RADS 4-5 nodules with coarse calcifications from 207 patients who underwent surgery in our hospital between 2017 and 2019 were retrospectively reviewed. The average HU values (AHUVs) and maximum HU values (MHUVs) of the nodules were measured on noncontrast CT. The distribution of AHUVs and MHUVs in benign and malignant nodules with coarse calcifications was analyzed using the Mann-Whitney test. Receiver operating characteristic (ROC) curves were used to identify the best cut-off values. Diagnostic performances were assessed according to the area under the ROC curve (AUC), sensitivity and specificity. Of the 216 ACR TI-RADS 4-5 nodules with coarse calcifications, 170 were benign and 46 were malignant. The AHUVs of benign and malignant nodules were 791 HU [interquartile range (IQR), 543-1025 HU] and 486 HU (IQR, 406-670 HU), respectively ( AHUVs and MHUVs were helpful in differentiating benignity from malignancy in ACR TI-RADS 4-5 nodules with coarse calcifications. This may provide an important basis for reducing misdiagnosis and unnecessary aspiration or surgical trauma.

Identifiants

pubmed: 32368148
doi: 10.2147/CMAR.S242524
pii: 242524
pmc: PMC7184120
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2711-2717

Informations de copyright

© 2020 Wei et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Pei-Ying Wei (PY)

Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Nian-Dong Jiang (ND)

Department of Radiology, Chunan County Hospital of Traditional Chinese Medicine, Hangzhou, People's Republic of China.

Jing-Jing Xiang (JJ)

Department of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Chen-Ke Xu (CK)

Department of Medical Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Jin-Wang Ding (JW)

Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Hai-Bin Wang (HB)

Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Ding-Cun Luo (DC)

Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Zhi-Jiang Han (ZJ)

Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Classifications MeSH