ArticleEuropean radiology2019
Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Identification of Novel Biomarkers for Malignant Thyroid Nodules: A Preliminary Study Based on Ultrasound Omics.Annals of biomedical engineering · 2025Article
- Development and validation of a nomogram based on conventional and contrast-enhanced ultrasound for differentiating malignant from benign thyroid nodules.Quantitative imaging in medicine and surgery · 2025Article
- Ultrasound characterization of superficial lymph nodes in HIV patients with lymphadenopathy.Frontiers in medicine · 2025Article
- Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4-5 thyroid nodules.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to predict the efficacy of neoadjuvant chemotherapy in patients with borderline resectable or locally advanced pancreatic cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients.BMC infectious diseases · 2023Article
- Diagnostic accuracy of dual-energy computed tomography-based nomogram for differentiating papillary thyroid microcarcinomas from micronodular goiters.Quantitative imaging in medicine and surgery · 2023Article
- Contrast-enhanced ultrasound: a valuable modality for extracapsular extension assessment in papillary thyroid cancer.European radiology · 2021Article
- Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data.European radiology · 2021Article
- [Construction and verification of lymph node metastasis model of cN0 stage thyroid micropapillary carcinoma and discussion of surgical methods].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2021Article
- Do Molecular Profiles of PrimaryFrontiers in endocrinology · 2021Article
- Nomogram Based on Ultrasonography and Clinical Features for Predicting Malignancy in Soft Tissue Tumors.Cancer management and research · 2021Article
- Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- A nomogram to predict survival of patients with intermediate-stage hepatocellular carcinoma after transarterial chemoembolization combined with microwave ablation.European radiology · 2020Article
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10 authors.
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Abstract
objectivesThe aim of this study was to develop an ultrasound-based nomogram to improve the diagnostic accuracy of the identification of malignant thyroid nodules.
methodsA 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).
resultsThe 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).
conclusionsThis 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.
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