Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules.
Objectives: The aim of this study was to develop an ultrasound-based nomogram to improve the diagnostic accuracy of the identification of malignant thyroid nodules.Methods: A total of 1675 histologically proven thyroid nodules (1169 benign, 506 malignant) were included in this study. The nodules wer...
| Publicado en: | European Radiology Vol. 29; no. 3; pp. 1518 - 1527 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134415329&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134415329 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2019 vid: 29 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 134415329 134415329 NLM30209592 134415329 10.1007/s00330-018-5715-5 NLM30209592 134415329 ppf: 1518 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules. aug: au: Guo, Bao-liang Ouyang, Fu-sheng Ouyang, Li-zhu Liu, Zi-wei Lin, Shao-jia Meng, Wei Huang, Xi-yi Chen, Hai-xiong Yang, Shao-ming Hu, Qiu-gen affil: Department of Radiology, Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde), No.1, Penglai Road, Daliang District, Shunde, Foshan, Guangdong, People's Republic of China sug: subj: Ultrasonography Methods Models, Statistical Thyroid Nodule Aged Young Adult Thyroid Gland Female Human Retrospective Design Thyroid Gland Pathology Diagnosis, Differential Reproducibility of Results Middle Age Male Aged, 80 and Over Thyroid Nodule Pathology Adult Adolescence ROC Curve Validation Studies Comparative Studies Evaluation Research Multicenter Studies Aged: 65+ years Middle Aged: 45-64 years Aged, 80 & over Adult: 19-44 years Adolescent: 13-18 years Female Male ab: Objectives: The aim of this study was to develop an ultrasound-based nomogram to improve the diagnostic accuracy of the identification of malignant thyroid nodules.Methods: A total of 1675 histologically proven thyroid nodules (1169 benign, 506 malignant) were included in this study. The nodules were grouped into the training dataset (n = 700), internal validation dataset (n = 479), or external validation dataset (n = 496). The grayscale ultrasound features included the nodule size, shape, aspect ratio, echogenicity, margins, and calcification pattern. We applied least absolute shrinkage and selection operator (lasso) regression to select the strongest features for the nomogram. Nomogram discrimination (area under the receiver operating characteristic curve, AUC) and calibration were assessed. The nomogram was subjected to bootstrapping validation (1000 bootstrap resamples) to calculate a mean AUC and 95% confidence interval (CI).Results: The nomogram showed good discrimination in the training dataset, with an AUC of 0.936 (95% CI: 0.918-0.953) and good calibration. Application of the nomogram to the internal validation dataset also resulted in good discrimination (AUC: 0.935; 95% CI, 0.915-0.954) and good calibration. The model tested in an external validation dataset demonstrated a lower AUC of 0.782 (95% CI: 0.776-0.789).Conclusions: This ultrasound-based nomogram can be used to quantify the probability of malignant thyroid nodules.Key Points: • Ultrasound examination is helpful in the differential diagnosis of malignant and benign thyroid nodules. • However, ultrasound accuracy relies heavily on examiner experience. • A less subjective diagnostic model is desired, and the developed nomogram for thyroid nodules showed good discrimination and good calibration. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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