Volume 39, Issue 10 pp. 1947-1955
Original Research

Superb Microvascular Imaging Improves Detection of Vascularity in Indeterminate Renal Masses

Joon Yau Leong BS

Joon Yau Leong BS

Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Corinne E. Wessner RDMS

Corinne E. Wessner RDMS

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Michael R. Kramer MD

Michael R. Kramer MD

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Flemming Forsberg PhD

Flemming Forsberg PhD

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Ethan J. Halpern MD

Ethan J. Halpern MD

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Andrej Lyshchik MD, PhD

Andrej Lyshchik MD, PhD

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Mehnoosh Torkzaban MD

Mehnoosh Torkzaban MD

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Andrew Morris RDMS

Andrew Morris RDMS

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Kelly Byrne RDMS

Kelly Byrne RDMS

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Maris VanMeter RDMS

Maris VanMeter RDMS

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Edouard J. Trabulsi MD

Edouard J. Trabulsi MD

Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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Costas D. Lallas MD

Costas D. Lallas MD

Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

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John R. Eisenbrey PhD

Corresponding Author

John R. Eisenbrey PhD

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

Address correspondence to John R. Eisenbrey, PhD, Department of Radiology, Thomas Jefferson University, 796E, Main Building, 132 S 10th St, Philadelphia PA, 19107, USA. E-mail: [email protected]

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First published: 20 April 2020
Citations: 17
The equipment used in this study was supplied by Canon Medical Systems (Tustin, CA), although authors had sole control of the data. We thank all of the patients who participated in this clinical study. All of the authors of this article have reported no disclosures.

Abstract

Objectives

Vascular assessment of indeterminate renal masses (iRMs) remains a crucial element of diagnostic imaging, as the presence of blood flow within renal lesions suggests malignancy. We compared the utility of Superb Microvascular Imaging (SMI; Canon Medical Systems, Tustin, CA), a novel Doppler technique, to standard color Doppler imaging (CDI) and power Doppler imaging (PDI) for the detection of vascularity within iRMs.

Methods

Patients undergoing contrast-enhanced ultrasound (CEUS) evaluations for iRMs first underwent a renal ultrasound examination with the following modes: CDI, PDI, color Superb Microvascular Imaging (cSMI), and monochrome Superb Microvascular Imaging (mSMI), using an Aplio i800 scanner with an i8CX1 transducer (Canon Medical Systems). After image randomization, each mode was assessed for iRM vascularity by 4 blinded readers on a diagnostic confidence scale of 1 to 5 (5 = most confident). The results were compared to CEUS as the reference standard.

Results

Forty-one patients with 50 lesions met inclusion criteria. Relative to the other 3 modalities, mSMI had the highest sensitivity (63.3%), whereas cSMI had the highest specificity (62.1%). Both cSMI and mSMI also had the highest diagnostic accuracy (0.678 and 0.680, respectively; both P < 0.001) compared to CDI (0.568) and PDI (0.555). Although the reader-reported confidence interval of mSMI (mean ± SD, 3.6 ± 1.1) was significantly lower than CDI (4.1 ± 1.0) and PDI (4.0 ± 1.0; P < 0.001), the confidence level of cSMI (4.1 ± 0.9) was not (P > 0.173).

Conclusions

Preliminary data suggest that SMI is a potentially useful modality in detecting microvasculature in iRMs compared to standard Doppler techniques. Future studies should aim to compare the efficacy of both SMI and CEUS and to assess the ability of SMI to characterize malignancy in iRMs.

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