Logistic regression analysis of contrast-enhanced ultrasound and conventional ultrasound of follicular thyroid carcinoma and follicular adenoma

Abstract Background and study aims Endoscopic ultrasound (EUS) elastography (EUS-E) and contrast-enhanced harmonic EUS (CH-EUS) are useful methods for the diagnosis of pancreatic lesions. This study aims to compare the accuracy of combined EUS-E and CH-EUS with that of EUS-E or CH-EUS alone in the differential diagnosis of pancreatic solid lesions. Patients and methods One hundred thirty-six patients with solid pancreatic lesions underwent EUS with both EUS-E and CH-EUS were included. Diagnoses were classified as adenocarcinoma, neuroendocrine tumor (NET), and inflammatory pseudotumor in 95, 22, and 19 patients, respectively. EUS records in each case were rearranged into 3 groups: EUS-E, CH-EUS, and combination. Each modality was randomly reviewed by 3 reviewers with different levels of clinical experience. Sensitivity, specificity, and accuracy of each modality according to each diagnosis group were evaluated. For the combined diagnosis populations, the proportions of correct diagnoses among the 3 modalities were compared by using the multivariate logistic regression analysis. Results The accuracies of EUS-E, CH-EUS, and the combination of them were 68.4 %, 65.4 %, and 75.7 %, respectively, for adenocarcinoma group; 83.8 %, 82.4 %, and 86.8 % for NET group; 80.1 %, 78.7 %, and 81.6 % for inflammatory pseudotumor group. The multivariate logistic regression analysis for the combined diagnosis populations showed that the proportion of correct diagnoses when EUS-E and CH-EUS were combined was slightly higher than with the other 2 modalities, although the significant differences among them were not observed. Conclusion EUS-E and CH-EUS combined may improve differential diagnosis of solid pancreatic lesions compared with use of the individual modalities.

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Characterization of Sonographically Indeterminate Ovarian Tumors with MR Imaging

Acta Radiologica ◽

10.1080/02841859709174389 ◽

1997 ◽

Vol 38 (4) ◽

pp. 572-577 ◽

Cited By ~ 6

Author(s):

Y. Yamashita ◽

Y. Hatanaka ◽

M. Torashima ◽

M. Takahashi ◽

K. Miyazaki ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Mr Imaging ◽

Logistic Regression Analysis ◽

Computer Assisted ◽

Diagnosis System ◽

Computer Assisted Diagnosis ◽

Contrast Enhanced ◽

Malignant Lesions ◽

Assisted Diagnosis

Purpose: The goal of this study was to maximize the discrimination between benign and malignant masses in patients with sonographically indeterminate ovarian lesions by means of unenhanced and contrast-enhanced MR imaging, and to develop a computer-assisted diagnosis system. Material and Methods: Findings in precontrast and Gd-DTPA contrast-enhanced MR images of 104 patients with 115 sonographically indeterminate ovarian masses were analyzed, and the results were correlated with histopathological findings. of 115 lesions, 65 were benign (23 cystadenomas, 13 complex cysts, 11 teratomas, 6 fibro-thecomas, 12 others) and 50 were malignant (32 ovarian carcinomas, 7 metastatic tumors of the ovary, 4 carcinomas of the fallopian tubes, 7 others). A logistic regression analysis was performed to discriminate between benign and malignant lesions, and a model of a computer-assisted diagnosis was developed. This model was pro-spectively tested in 75 cases of ovarian tumors found at other institutions. Results: From the univariate analysis, the following parameters were selected as significant for predicting malignancy (p<0.05): a solid or cystic mass with a large solid component or wall thickness greater than 3 mm; complex internal architecture; ascites; and bilaterality. Based on these parameters, a model of a computer-assisted diagnosis system was developed with the logistic regression analysis. To distinguish benign from malignant lesions, the maximum cut-off point was obtained between 0.47 and 0.51. In a prospective application of this model, 87% of the lesions were accurately identified as benign or malignant. Conclusion: Benign and malignant ovarian lesions can be distinguished in most sonographically indeterminate lesions by means of parameters obtained from contrast-enhanced MR imaging.

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Sonographic Characteristics of Papillary Thyroid Carcinoma with Coexistent Hashimoto's Thyroiditis: Conventional Ultrasound, Acoustic Radiation Force Impulse Imaging and Contrast-Enhanced Ultrasound

Ultrasound in Medicine & Biology ◽

10.1016/j.ultrasmedbio.2018.10.020 ◽

2019 ◽

Vol 45 (2) ◽

pp. 471-480 ◽

Cited By ~ 4

Author(s):

Qinghai Peng ◽

Chengcheng Niu ◽

Meixiang Zhang ◽

Qiang Peng ◽

Sijie Chen

Keyword(s):

Papillary Thyroid Carcinoma ◽

Thyroid Carcinoma ◽

Acoustic Radiation ◽

Radiation Force ◽

Acoustic Radiation Force ◽

Acoustic Radiation Force Impulse ◽

Contrast Enhanced Ultrasound ◽

Papillary Thyroid ◽

Contrast Enhanced ◽

Conventional Ultrasound

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Predictive value of contrast-enhanced ultrasound combined with conventional ultrasound in solid renal parenchymal lesions

British Journal of Radiology ◽

10.1259/bjr.20210518 ◽

2021 ◽

pp. 20210518

Author(s):

Yingyu Cai ◽

Fan Li ◽

Zhaojun Li ◽

Xin Li ◽

Chunxiao Li ◽

...

Keyword(s):

Logistic Regression ◽

Predictive Value ◽

Contrast Enhanced Ultrasound ◽

Counting Method ◽

Scoring Method ◽

Renal Lesions ◽

Contrast Enhanced ◽

Risk Of Malignancy ◽

Conventional Ultrasound ◽

Ultrasound Features

Objective: This study aimed to develop a model to predict the risk of malignancy in solid renal parenchymal lesions based on the imaging features of combined conventional and contrast-enhanced ultrasound (CEUS). Methods: A retrospective review was performed among patients with focal solid renal parenchymal lesions on ultrasound images. Ultrasound features were characterized by two experienced radiologists independently. A multiple logistic regression analysis was performed to determine the most relevant features and to estimate the risk of malignancy. Scoring and counting methods were developed based on the most relevant features. The diagnostic performance was evaluated by the sensitivity, specificity, positive predictive value, negative predictive value and area under the receiver operating characteristic curve (AUC). Results: A total of 519 renal lesions were included in this study. The conventional ultrasound features of diameter, echogenicity, hypoechoic rim and the CEUS feature of heterogeneity were identified as the most relevant features for prediction of malignancy. The sensitivity and specificity for the logistic regression model, the scoring method and the counting method were 95.3 and 93.4%, 93.8 and 87.8%, 88.8 and 93.9%, respectively. The logistic model had the best performance for diagnosing malignant renal lesions with AUC of 0.978, compared with the scoring method and the counting method with AUCs of 0.958 and 0.965. Conclusion: The combination of contrast-enhanced ultrasound with conventional ultrasound improved the diagnostic performance of solid renal lesions based on the logistic regression model. Advances in knowledge: In this study, we revealed that the combination of CEUS and conventional ultrasound provided higher accuracy for diagnosing malignant renal tumors.

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Utility of quantitative contrast-enhanced ultrasound for the prediction of lymph node metastasis in patients with papillary thyroid carcinoma

Clinical Hemorheology and Microcirculation ◽

10.3233/ch-200909 ◽

2020 ◽

pp. 1-12

Author(s):

Zhi-Yan Luo ◽

Yu-Rong Hong ◽

Cao-Xin Yan ◽

Yong Wang ◽

Qin Ye ◽

...

Keyword(s):

Papillary Thyroid Carcinoma ◽

Thyroid Carcinoma ◽

Univariate Analysis ◽

Contrast Enhanced Ultrasound ◽

Papillary Thyroid ◽

Optimal Parameters ◽

Diagnostic Efficacy ◽

Contrast Enhanced ◽

Conventional Ultrasound ◽

Higher Sensitivity

OBJECTIVES: The aim of this study was to find the optimal parameters and cutoffs to differentiate metastatic lymph nodes (LNs) from benign LNs in the patients with papillary thyroid carcinoma (PTC) on the quantitative contrast-enhanced ultrasound (CEUS) features. METHODS: A total of 134 LNs in 105 patients with PTCs were retrospectively enrolled. All LNs were evaluated by conventional ultrasound (US) and CEUS before biopsy or surgery. The diagnostic efficacy of CEUS parameters was analyzed. RESULTS: Univariate analysis indicated that metastatic LNs more often manifested centripetal or asynchronous perfusion, hyper-enhancement, heterogeneous enhancement, ring-enhancing margins, higher PI, larger AUC, longer TTP and DT/2 than benign LNs at pre-operative CEUS (p < 0.001, for all). Multivariate analysis showed that centripetal or asynchronous perfusion (OR = 3.163; 95% CI, 1.721–5.812), hyper-enhancement(OR = 0.371; 95% CI, 0.150–0.917), DT/2 (OR = 7.408; 95% confidence interval CI, 1.496–36.673), and AUC (OR = 8.340; 95% CI, 2.677–25.984) were predictive for the presence of metastatic LNs. The sensitivity and accuracy of the quantitative CEUS were higher than qualitative CEUS (75% vs 55 % and 83.6% vs 76.1 % , respectively). CONCLUSIONS: Quantitative CEUS parameters can provide more information to distinguish metastatic from benign LNs in PTC patients; In particular, DT/2 and AUC have a higher sensitivity and accuracy in predicting the presence of metastatic LNs and reduce unnecessary sampling of benign LNs.

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