Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS

Lu, Wenwu; Zhang, Di; Zhang, Yuzhi; Qian, Xiaoqin; Qian, Cheng; Yan, Wei; Xia, Zicong; Ding, Wenbo; Ni, Xuejun

doi:10.3390/cancers14194826

Cited by 10 publications

(3 citation statements)

References 35 publications

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“…Although the results of the ultrasomics model compared with LI-RADS were encouraging, the difference between the two scores in the ability to differentiate ICC from HCC was not significant [ 92 ]. The data obtained on liver ultrasomics were similar to those obtained on thyroid, breast, or kidney ultrasomics [ 95 , 96 , 97 , 98 , 99 , 100 , 101 ].…”

Section: Resultssupporting

confidence: 72%

Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma

et al. 2023

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Background: This paper offers an assessment of radiomics tools in the evaluation of intrahepatic cholangiocarcinoma. Methods: The PubMed database was searched for papers published in the English language no earlier than October 2022. Results: We found 236 studies, and 37 satisfied our research criteria. Several studies addressed multidisciplinary topics, especially diagnosis, prognosis, response to therapy, and prediction of staging (TNM) or pathomorphological patterns. In this review, we have covered diagnostic tools developed through machine learning, deep learning, and neural network for the recurrence and prediction of biological characteristics. The majority of the studies were retrospective. Conclusions: It is possible to conclude that many performing models have been developed to make differential diagnosis easier for radiologists to predict recurrence and genomic patterns. However, all the studies were retrospective, lacking further external validation in prospective and multicentric cohorts. Furthermore, the radiomics models and the expression of results should be standardized and automatized to be applicable in clinical practice.

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Section: Resultssupporting

confidence: 72%

Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma

et al. 2023

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“…In recent years, radiomics had been used in the eld of thyroid ultrasound, which could convert ultrasound images from traditionally visual interpretation to quantitative features, it might be helpful to extrapolate data and choose proper clinical decision-making [21] . Many studies [9,[22][23][24] mainly focused on the differentiation of benign and malignant thyroid nodules or prediction of lymph node metastasis in patients with PTC. Most researchers established radiomics based on BMUS for the diagnosis of thyroid nodules in the previous studies.…”

Section: Discussionmentioning

confidence: 99%

Nomogram based on multi-modal ultrasound radiomics for the differentiation of benign and malignant ACR TI-RADS 4 and 5 categories thyroid nodules

Yi,

Xu,

Cao

et al. 2023

Preprint

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Objective To develop a multi-modal ultrasound including B-mode ultrasound (BMUS), shear wave elastography (SWE), contrast-enhanced ultrasound (CEUS) radiomics nomogram and evaluate the diagnostic performance of radiomics nomogram for the differentiation of benign and malignant American College of Radiology (ACR) thyroid imaging reporting and data system (TI-RADS) 4 and 5 categories thyroid nodules. Materials and Methods From March 2019 to April 2022, a total of 133 patients with 139 ACR TI-RADS 4 and 5 categories thyroid nodules were enrolled. These nodules were divided randomly into a training and validation cohort. Radiomics features were extracted from BMUS, SWE and CEUS images. The least absolute shrinkage and selection operator (LASSO) regression and five cross-validations were used to select features and build radiomics score. A multi-modal ultrasound radiomics nomogram was established based on multivariate logistics regression analysis with multi-modal ultrasound including BMUS, SWE and CEUS radiomics score (Rad-score) and clinical characteristics, including BMUS features in the 2017 edition of ACR TI-RADS. The performance of the nomogram was assessed via discrimination, calibration and clinical usage in the training and validation cohorts. Results Multi-modal ultrasound radiomics had better diagnostic performance compared with using BMUS radiomics, SWE radiomics or CEUS radiomics alone. Based on multivariate logistics regression analysis, calcification and multi-modal ultrasound Rad-score were the independent risk factors for the discrimination of benign and malignant ACR TI-RADS 4 and 5 categories thyroid nodules. The nomogram incorporated with these independent risk factors had better diagnostic performance compared with clinical model. The AUC of nomogram in training and validation cohorts were 0.911 (95% CI, 0.850–0.972) and 0.883 (95% CI, 0.776–0.990), respectively. Decision curve analysis (DCA) indicated the nomogram had a high clinical value. Conclusion In conclusion, multi-modal ultrasound radiomics had better diagnostic performance, compared with using BMUS radiomics, SWE radiomics or CEUS radiomics alone. The multi-modal ultrasound radiomics nomogram showed satisfying accuracy for the differentiation of benign and malignant ACR TI-RADS 4 and 5 categories thyroid nodules, which might be a potentially noninvasive and useful method to discriminate benign and malignant nodules, it could assist surgeons in clinical decision making and thyroid nodules management, improve the prognosis of patients.

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“…It has been gradually applied in the research of various tumors, including tumor diagnosis, prognosis prediction, and gene analysis. Several studies have demonstrated the value of radiomics when applied in the differentiation of benign and malignant thyroid nodules [28][29][30] and the aggressiveness assessment of thyroid tumors [31][32][33][34][35]. For the preoperative prediction of ETE, Wang et al constructed a US radiomics-based nomogram, which has a high predictive value [36].…”

Section: Introductionmentioning

confidence: 99%

Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma Using a Clinical-Radiomics Nomogram Based on B-Mode and Contrast-Enhanced Ultrasound

et al. 2023

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Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer. PTC patients with extrathyroidal extension (ETE) are associated with poor prognoses. The preoperative accurate prediction of ETE is crucial for helping the surgeon decide on the surgical plan. This study aimed to establish a novel clinical-radiomics nomogram based on B-mode ultrasound (BMUS) and contrast-enhanced ultrasound (CEUS) for the prediction of ETE in PTC. A total of 216 patients with PTC between January 2018 and June 2020 were collected and divided into the training set (n = 152) and the validation set (n = 64). The least absolute shrinkage and selection operator (LASSO) algorithm was applied for radiomics feature selection. Univariate analysis was performed to find clinical risk factors for predicting ETE. The BMUS Radscore, CEUS Radscore, clinical model, and clinical-radiomics model were established using multivariate backward stepwise logistic regression (LR) based on BMUS radiomics features, CEUS radiomics features, clinical risk factors, and the combination of those features, respectively. The diagnostic efficacy of the models was assessed using receiver operating characteristic (ROC) curves and the DeLong test. The model with the best performance was then selected to develop a nomogram. The results show that the clinical-radiomics model, which is constructed by age, CEUS-reported ETE, BMUS Radscore, and CEUS Radscore, showed the best diagnostic efficiency in both the training set (AUC = 0.843) and validation set (AUC = 0.792). Moreover, a clinical-radiomics nomogram was established for easier clinical practices. The Hosmer–Lemeshow test and the calibration curves demonstrated satisfactory calibration. The decision curve analysis (DCA) showed that the clinical-radiomics nomogram had substantial clinical benefits. The clinical-radiomics nomogram constructed from the dual-modal ultrasound can be exploited as a promising tool for the pre-operative prediction of ETE in PTC.

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Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS

Cited by 10 publications

References 35 publications

Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma

Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma

Nomogram based on multi-modal ultrasound radiomics for the differentiation of benign and malignant ACR TI-RADS 4 and 5 categories thyroid nodules

Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma Using a Clinical-Radiomics Nomogram Based on B-Mode and Contrast-Enhanced Ultrasound

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