Volume 40, Issue 11 pp. 2477-2486
Original Research

Differentiation of Malignant and Benign Orbital Space-Occupying Lesions Using Contrast-Enhanced Ultrasound

Added Value From a Time-Intensity Curve-Based Quantitative Analysis

Yao Zhang MD

Yao Zhang MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Qing Deng MD

Qing Deng MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Bin Sun MD

Bin Sun MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Liao Chen MD

Liao Chen MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Xin Huang MD

Xin Huang MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Juhong Pan MD

Juhong Pan MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Xingyue Huang MD

Xingyue Huang MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Jun Zhang MD

Jun Zhang MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

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Wenwei Chen MD

Corresponding Author

Wenwei Chen MD

Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

Address correspondence to Wenwei Chen MD, Department of Ultrasuond, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.

Email: [email protected]

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First published: 20 January 2021
Citations: 2
Yao Zhang and Qing Deng contributed to the work equally and should be regarded as co-first authors.
All of the authors of this article have reported no disclosures.

Abstract

Objectives

To evaluate the value of time-intensity curve (TIC) analysis of contrast-enhanced ultrasound (CEUS) signal to differentiate malignant from benign orbital space-occupying lesions.

Methods

The CEUS signal of 111 patients with orbital space-occupying lesions was retrospectively analyzed using SonoLiver software. TIC-related parameters such as the arrival time (AT), rise time (RT), time to peak (TTP), maximum intensity (IMAX), mean transit time (mTT), slope of the increase (RS), and slope of the decrease (DS) were compared between the malignant and benign groups. Receiver operating characteristic (ROC) curve analysis was used to acquire the cutoff values of these parameters for differential diagnosis.

Results

TIC patterns were characterized by fast increase and fast decrease in signal intensity in the malignant group, fast increase and a slow decrease in signal intensity in the benign group. The differences in the IMAX, RS, DS, mTT, TTP, and RT between the 2 groups were statistically significant (p <.01), while the difference in the AT were not (p = .672). ROC curve analysis showed that IMAX = 427.20, DS = 34.72, and mTT = 33.55 were the best cutoff values for differential diagnosis of malignant and benign space-occupying lesions. The accuracy rate of CEUS visual evaluation for differential diagnosis was 66.67% (74/111), while TIC quantitative analysis could effectively improve the accuracy to 89.19% (99/111).

Conclusions

TIC analysis can improve CEUS efficiency to differentiate malignant from benign orbital space-occupying lesions.

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