Computer-Aided Diagnosis of Focal Liver Lesions Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles

Kondo, Satoshi; Takagi, Kazuya; Nishida, Mutsumi; Iwai, Takahito; Kudo, Yusuke; Ogawa, Kouji; Kamiyama, Toshiya; Shibuya, Hitoshi; Kahata, Kaoru; Shimizu, Chisato

doi:10.1109/tmi.2017.2659734

Cited by 68 publications

(34 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This possibility has been explored most thoroughly in hepatic imaging, for which recent work has demonstrated utility of perflubutane-enhanced US not only in identifying location of focal liver lesions but in characterization as benign or malignant. 19 Another study showed that use of perflubutane-enhanced US improves the accuracy of diagnostic liver biopsy by differentiating viable from necrotic tissue. 20 Finally, there is evidence from a mouse cholangitis model that perflubutane-enhanced US can detect impaired phagocytic activity associated with hepatic inflammation and hypoxia.…”

Section: Discussionmentioning

confidence: 99%

“…However, perflubutane's predilection for uptake by the reticuloendothelial system provides a mechanism by which perflubutane‐enhanced US can provide further insight into tissue characteristics. This possibility has been explored most thoroughly in hepatic imaging, for which recent work has demonstrated utility of perflubutane‐enhanced US not only in identifying location of focal liver lesions but in characterization as benign or malignant . Another study showed that use of perflubutane‐enhanced US improves the accuracy of diagnostic liver biopsy by differentiating viable from necrotic tissue .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Contrast‐Enhanced Ultrasound With Perflubutane for Sentinel Lymph Node Mapping in Cutaneous Melanoma: A Pilot Study

Bertelsen¹,

King

Swanson³

et al. 2018

The Laryngoscope

View full text Add to dashboard Cite

Objective To study the feasibility of contrast‐enhanced ultrasound (CEUS) for identification of SLN associated with cutaneous melanoma. Study Design Single arm pilot study in a swine animal model. Methods One milliliter of perflubutane (Sonazoid, GE Healthcare, Milwaukee, WI) was injected into the peritumoral dermis in five swine with cutaneous melanoma. Ultrasonography was used to follow enhancing lymphatic channels to lymph nodes (LN). Intradermal injection of vital blue (VB) dye was used as a positive control. LN identified by either method were excised and examined histologically. Results There were five primary cutaneous melanomas with mean area of 4.36 ± 4.75 cm2 and Breslow depth of 3.6 ± 1.5 mm. Six possible sentinel lymph node (SLN)s were identified with CEUS, and nine were identified with VB. SLN averaged 12.44 ± 6.15 cm from the primary tumor. Four of six (67%) SLNs identified by CEUS and four of nine (44%) candidate SLNs identified by VB contained histologically confirmed metastatic melanoma. All six CEUS‐identified SLNs were also identified with VB. Two LNs not containing melanoma were identified by CEUS; three were identified with VB. In all SLN with metastases, metastatic cells were scattered throughout the LN and not clustered in a discrete mass. Conclusion CEUS with perflubutane feasibly identifies SLN associated with cutaneous melanoma and may be a useful adjunct technology in facilitating precise SLN dissection. Our work supports a clinical trial investigating the use of CEUS for this application. Level of Evidence NA Laryngoscope, 129:1117–1122, 2019

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Contrast‐Enhanced Ultrasound With Perflubutane for Sentinel Lymph Node Mapping in Cutaneous Melanoma: A Pilot Study

Bertelsen¹,

King

Swanson³

et al. 2018

The Laryngoscope

View full text Add to dashboard Cite

show abstract

“…The lesions are classified as benign or malignant and again as benign, HCC, or metastatic liver tumor using support vector machines (SVM) with a combination of selected optimal features. Experimental results from 98 subjects indicated that benign and malignant classification showed 94.0% sensitivity, 87.1% specificity, and 91.8% accuracy, and that the accuracies of the benign, HCC, and metastatic liver tumor classifications were 84.4%, 87.7%, and 85.7%, respectively [98].…”

Section: Computer-aided Diagnostic (Cad) Systemsmentioning

confidence: 99%

Current role of ultrasound in the diagnosis of hepatocellular carcinoma

Tanaka

2020

J Med Ultrasonics

View full text Add to dashboard Cite

Ultrasonography (US) is a major, sustainable hepatocellular carcinoma (HCC) surveillance method as it provides inexpensive, real-time, and noninvasive detection. Since US findings are based on pathological features, knowledge of pathological features is essential for delivering a correct US diagnosis. Recent advances in US equipment have made it possible to provide more information, such as malignancy potential and accurate localization diagnosis of HCC. Evaluation of malignancy potential is important to determine the treatment strategy, especially for small HCC. Diagnosis of blood flow dynamics using color Doppler and contrast-enhanced US is one of the most definitive approaches for evaluating HCC malignancy potential. Recently, a new Doppler microvascular imaging technique, superb microvascular imaging, which can detect Doppler signals generated by low-velocity blood flow, was developed. A fusion imaging system, another innovative US technology, has already become an indispensable technology over the last few years not only for US-guided radiofrequency ablation but also for the detection of small, invisible HCC. This article reviews the evidence on the use of ultrasound and contrast-enhanced ultrasound with Sonazoid for the practical management of HCC.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

show abstract

“…Encouraging results have been reported on multiparametric combination of quantitative ultrasound features for disease classification in various organs. Several authors have studied the combination of DCE-US-derived (semi)quantitative features for liver lesions classification, using either SVMs (C aleanu et al 2014;Kondo et al 2017) or ANNs (Shiraishi et al 2008;Sugimoto et al 2009), usually reaching an appreciable accuracy in distinguishing hepatocellular carcinoma, hemangioma and benign lesions. In the prostate, Wildeboer et al (2017) found that the combination of (in particular) perfusionand dispersion-related DCE-US parameters by means of a Gaussian mixture model (GMM) improved the accuracy of prostate cancer classification.…”

Section: Multiparametric Analysis By Machine Learningmentioning

confidence: 99%

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning

Turco

Frinking

Wildeboer

et al. 2020

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of indicator dilution principles and dynamic contrast-enhanced ultrasound (DCE-US) imaging. UCAs are microbubbles encapsulated in a biocompatible shell. With a rheology comparable to that of red blood cells, UCAs provide an intravascular indicator for functional imaging of the (micro)vasculature by quantitative DCE-US. Several models of the UCA intravascular kinetics have been proposed to provide functional quantitative maps, aiding diagnosis of different pathological conditions. This article is a comprehensive review of the available methods for quantitative DCE-US imaging based on temporal, spatial and spatiotemporal analysis of the UCA kinetics. The recent introduction of novel UCAs that are targeted to specific vascular receptors has advanced DCE-US to a molecular imaging modality. In parallel, new kinetic models of increased complexity have been developed. The extraction of multiple quantitative maps, reflecting complementary variables of the underlying physiological processes, requires an integrative approach to their interpretation. A probabilistic framework based on emerging machine-learning methods represents nowadays the ultimate approach, improving the diagnostic accuracy of DCE-US imaging by optimal combination of the extracted complementary information. The current value and future perspective of all these advances are critically discussed.

show abstract

Computer-Aided Diagnosis of Focal Liver Lesions Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles

Cited by 68 publications

References 40 publications

Contrast‐Enhanced Ultrasound With Perflubutane for Sentinel Lymph Node Mapping in Cutaneous Melanoma: A Pilot Study

Contrast‐Enhanced Ultrasound With Perflubutane for Sentinel Lymph Node Mapping in Cutaneous Melanoma: A Pilot Study

Current role of ultrasound in the diagnosis of hepatocellular carcinoma

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning

Contact Info

Product

Resources

About