The value of superb microvascular imaging in differentiating benign renal mass from malignant renal tumor: a retrospective study

Mao, Yiran; Mu, Jie; Zhao, Jing; Zhao, Lihui; Xin, Xiaojie

doi:10.1259/bjr.20170601

Cited by 21 publications

(26 citation statements)

References 10 publications

(11 reference statements)

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“…This is in accordance with current studies evaluating SMI in different clinical settings, for example for evaluation of liver lesions 32 The superiority of SMI was demonstrated in several further studies. 26,[33][34][35] Park et al showed the superiority of SMI for detecting the vascularization of breast tumors, and Mao et al demonstrated the superiority of SMI over CCDS in renal tumors. 33,34 The outstanding ability of SMI, especially in the monochrome mode, to assess vascularization was also confirmed in the investigation of testes.…”

Section: Discussionmentioning

confidence: 99%

“…26,[33][34][35] Park et al showed the superiority of SMI for detecting the vascularization of breast tumors, and Mao et al demonstrated the superiority of SMI over CCDS in renal tumors. 33,34 The outstanding ability of SMI, especially in the monochrome mode, to assess vascularization was also confirmed in the investigation of testes. 35 Chen et al used SMI in patients with carpal tunnel syndrome and concluded that SMI could be a helpful additional diagnostic tool for assessing increased vascularization, but they suggested that further studies were needed.…”

Section: Discussionmentioning

confidence: 99%

“…26 One disadvantage of SMI is that, to date, a quantification method has not been described, and vascularization has only been reported in terms of semiquantitative scores. 25,29,33 Through the use of ImageJ for the quantitative analysis of mSMI and CCDS, it is now possible to undertake gray value analyses on different images. 29,36 In the present study, ImageJ analysis of strongly vascularized schwannomas produced marked differences versus the comparator group under mSMI.…”

Section: Discussionmentioning

confidence: 99%

“…33.68 AE 16.91 mm (range: 13-76 mm) (►Table 2). All 16 schwannomas appeared hypoechoic, oval, sharply demarcated, and inhomogeneous (with differing internal echogenicity).…”

mentioning

confidence: 99%

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Quantitative Analysis of Superb Microvascular Imaging versus Color-Coded Doppler Sonography for Preoperative Evaluation of Vascularization of Schwannomas

Kloth

Eissler

Schmidberger

et al. 2019

J Neurol Surg A Cent Eur Neurosurg

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Purpose Comparison of vascularization of schwannomas, benign peripheral nerve sheath tumors, using color-coded Doppler sonography (CCDS) and the Toshiba monochrome Superb Microvascular Imaging (mSMI) (Minato, Tokyo, Japan) technique. Methods In a retrospective single-center analysis, 16 patients were identified with histologically confirmed schwannomas. Between March and June 2018, all of them underwent ultrasonography using mSMI and CCDS before surgery. Schwannoma vascularization was quantitatively measured using ImageJ, an open platform for scientific image analysis. As the diagnostic gold standard, magnetic resonance imaging was mandatory. Results The mSMI and CCDS vascularization showed a moderate agreement between the techniques (κ = 0.5556; p = 0.0066). The quantitative visual assessment of the vascularization revealed no difference (25.3 ± 8.2 vs. 18.2 ± 3.8; p = 0.0532). Significant differences were found for the quantitative assessment of CCDS with ImageJ (26.8 ± 8.8 vs. 19.3 ± 2.8; p = 0.0368). However, in a subanalysis of highly vascularized schwannomas, mSMI revealed significant differences to slightly vascularized schwannomas (32.0 ± 8.2 vs. 21.3 ± 6.1; p = 0.0065) but not between moderately and slightly vascularized types (p = not significant). Conclusion The mSMI mode is qualitatively superior to conventional CCDS; however, quantitative analysis of the vascularization of schwannomas revealed no significant quantitative advantage for mSMI. Nevertheless, the mean ImageJ values showed a positive trend toward a better representation of the vascularization degree of schwannomas with mSMI.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…33.68 AE 16.91 mm (range: 13-76 mm) (►Table 2). All 16 schwannomas appeared hypoechoic, oval, sharply demarcated, and inhomogeneous (with differing internal echogenicity).…”

mentioning

confidence: 99%

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Quantitative Analysis of Superb Microvascular Imaging versus Color-Coded Doppler Sonography for Preoperative Evaluation of Vascularization of Schwannomas

Kloth

Eissler

Schmidberger

et al. 2019

J Neurol Surg A Cent Eur Neurosurg

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“…Recent studies show that, compared with color doppler flow imaging (CDFI). It can display the low-velocity blood flow in breast and kidney tumors more sensitively [8][9][10]. It is saving time and no extra cost, as well as can carry out true and meticulous microangiography of the lesion site without contrast enhancement.…”

Section: Introductionmentioning

confidence: 99%

The diagnostic value of Superb Microvascular Imaging in identifying benign tumors of parotid gland

Zhao

Mao

et al. 2020

BMC Med Imaging

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Background We compared the ultrasound features, superb microvascular imaging (SMI) and micro vessel density (MVD) of pleomorphic adenoma (PA), Warthin’s tumor (WT) and basal cell adenoma (BCA) to explore the clinic value of SMI in differential diagnosis of benign tumors of parotid gland. Methods The vascular distributions and grade by color doppler flow imaging (CDFI) and SMI, as well as vascular index (VI) of 249 parotid gland masses from 217 patients were analyzed. Results The internal echogenicity of BCA are more homogeneous in comparing with WT and PA(P < 0.05). By SMI, the vascular distribution and vascular grade in PA were mainly peripheral (33.1%) and avascular (25.7%), Grade 1 (27.8%) and Grade 0 (25.7%). WT were mainly central (31.3%) and mixed distribution (34.9%), in Grade 3 (37.3%) and Grade 2 (36.2%). BCA was mainly peripheral (33.3%) and mixed distribution (33.3%), in Grade 2 (33.3%) and Grade 3 (33.3%). The overall detection rate of SMI for vascular Grade 2 and 3 was significantly higher than that of CDFI (P < 0.05). Both VI and MVD were lowest in PA, highest in WT (P < 0.001). The VI by SMI was correlated with MVD (P < 0.001). The correlation index between vascular distribution and grade by SMI and MVD were significantly higher than CDFI. Conclusion SMI can provide low-velocity blood flow information, which is helpful for the differential diagnosis of common benign tumors of parotid gland, and is expected to be more widely used.

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Superb Microvascular Imaging Improves Detection of Vascularity in Indeterminate Renal Masses

Leong

Wessner

Kramer

et al. 2020

J of Ultrasound Medicine

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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 AE SD, 3.6 AE 1.1) was significantly lower than CDI (4.1 AE 1.0) and PDI (4.0 AE 1.0; P < 0.001), the confidence level of cSMI (4.1 AE 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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The value of superb microvascular imaging in differentiating benign renal mass from malignant renal tumor: a retrospective study

Cited by 21 publications

References 10 publications

Quantitative Analysis of Superb Microvascular Imaging versus Color-Coded Doppler Sonography for Preoperative Evaluation of Vascularization of Schwannomas

Quantitative Analysis of Superb Microvascular Imaging versus Color-Coded Doppler Sonography for Preoperative Evaluation of Vascularization of Schwannomas

The diagnostic value of Superb Microvascular Imaging in identifying benign tumors of parotid gland

Superb Microvascular Imaging Improves Detection of Vascularity in Indeterminate Renal Masses

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