Improved characterisation of histologically proven liver tumours by contrast enhanced ultrasonography during the portal venous and specific late phase of SHU 508A

Dietrich, C. F.; Ignee, A.; Trojan, Joerg; Fellbaum, Christian; Schuessler, G

doi:10.1136/gut.2003.026260

Cited by 125 publications

(114 citation statements)

References 15 publications

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“…The portal and late phase enhancement can provide important information regarding the character of the lesions. Most malignant lesions are hypo-enhanced, while the majority of solid benign lesions are iso-or hyperenhanced [24,25] . This phase is usually defined as the period from 121 to 360 s after UCA injection.…”

Section: Late or Parenchymal Phasementioning

confidence: 99%

“…Uneven arterial hyper-enhancement of HCC may be noted, because the tumors may have septa, different cell differentiation and arterio-venous shunting patterns among the neo-formed vessels [30] . In the portal and late phase, HCC are usually hypo-enhanced, as the UCA will wash out from HCC to the liver parenchyma rapidly, and the tumor may appear hypo-enhanced with respect to the surrounding liver in the late phase [24,25,29] . As some regenerative nodules may also exhibit additional arterial enrichment, analysis of the portal venous phase makes the differentiation of these iso-enhanced nodules from hypo-enhanced HCC possible.…”

Section: Detection Of Malignant Flls In Cirrhotic Liver With Ceusmentioning

confidence: 99%

“…However, the short duration of the arterial phase does not allow scanning of the whole liver. Hence the portal and late phases may provide more information in the detection of small lesions in cirrhotic liver [24,25] . Evaluation of all three vascular phases has been shown to be superior to the evaluation of enhancement in the late phase alone: the sensitivity increased from 78% to 98%, and the accuracy from 81% to 93% [33] .…”

Section: Detection Of Malignant Flls In Cirrhotic Liver With Ceusmentioning

confidence: 99%

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Detection of focal liver lesions in cirrhotic liver using contrast-enhanced ultrasound

Wong

Xu²,

Xie³

2009

WJR

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Patients with liver cirrhosis are at increased risk of hepatocellular carcinoma (HCC). Conventional or baseline ultrasound (BUS) is often used as the first-line tool for HCC surveillance or detection, but the accuracy of BUS in HCC detection or differentiation from other focal liver lesions (FLLs) is limited. Contrast-enhanced ultrasound (CEUS) represents a recent revolution in the field of ultrasonography and it has become increasingly important in the detection and evaluation of FLLs. In CEUS, HCC typically exhibits arterial hyper-enhancement and portal-venous washout represented by hypoenhanced lesions in the portal venous and late phases. The detection rate of HCC was significantly higher with CEUS compared with BUS. Even regenerative or some dysplastic nodules may exhibit arterial hyperenhancement as they are differentiated from HCC by its iso-enhancing pattern in portal and late phases. The contrast-enhancement patterns of other different types of benign and malignant FLLs, as well as their detection rates with CEUS, were also discussed.

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Section: Late or Parenchymal Phasementioning

confidence: 99%

Section: Detection Of Malignant Flls In Cirrhotic Liver With Ceusmentioning

confidence: 99%

Section: Detection Of Malignant Flls In Cirrhotic Liver With Ceusmentioning

confidence: 99%

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Detection of focal liver lesions in cirrhotic liver using contrast-enhanced ultrasound

Wong

Xu²,

Xie³

2009

WJR

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“…In B‐mode images (without contrast agents), liver lesions often lack contrast relative to surrounding liver tissue 8 and while tracking locally homogeneous echo texture is an option, Schlosser et al 9 reported results which support the hypothesis that tracking an internal target, such as a liver blood vessel close to the tumor using ultrasound, is a more accurate surrogate than external infrared markers.…”

Section: Introductionmentioning

confidence: 98%

Temporal regularization of ultrasound-based liver motion estimation for image-guided radiation therapy

2015

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Purpose:Ultrasound‐based motion estimation is an expanding subfield of image‐guided radiation therapy. Although ultrasound can detect tissue motion that is a fraction of a millimeter, its accuracy is variable. For controlling linear accelerator tracking and gating, ultrasound motion estimates must remain highly accurate throughout the imaging sequence. This study presents a temporal regularization method for correlation‐based template matching which aims to improve the accuracy of motion estimates.Methods:Liver ultrasound sequences (15–23 Hz imaging rate, 2.5–5.5 min length) from ten healthy volunteers under free breathing were used. Anatomical features (blood vessels) in each sequence were manually annotated for comparison with normalized cross‐correlation based template matching. Five sequences from a Siemens Acuson™ scanner were used for algorithm development (training set). Results from incremental tracking (IT) were compared with a temporal regularization method, which included a highly specific similarity metric and state observer, known as the α–β filter/similarity threshold (ABST). A further five sequences from an Elekta Clarity™ system were used for validation, without alteration of the tracking algorithm (validation set).Results:Overall, the ABST method produced marked improvements in vessel tracking accuracy. For the training set, the mean and 95th percentile (95%) errors (defined as the difference from manual annotations) were 1.6 and 1.4 mm, respectively (compared to 6.2 and 9.1 mm, respectively, for IT). For each sequence, the use of the state observer leads to improvement in the 95% error. For the validation set, the mean and 95% errors for the ABST method were 0.8 and 1.5 mm, respectively.Conclusions:Ultrasound‐based motion estimation has potential to monitor liver translation over long time periods with high accuracy. Nonrigid motion (strain) and the quality of the ultrasound data are likely to have an impact on tracking performance. A future study will investigate spatial uniformity of motion and its effect on the motion estimation errors.

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“…The acronym CEUS refers to contrast-enhanced ultrasound techniques in general [1][2][3][4][5][6][7][8][9][10][11]. Dynamic contrast enhanced ultrasound (DCE-US) refers to quantitative time intensity curve (TIC) analysis [11][12][13] using either bolus injection of microbubbles [13][14][15][16] or intravenous infusion with disruption-replenishment technique [17] which are used for treatment response evaluation in oncology [18] and for activity assessment in inflammation of the bowel wall in inflammatory bowel disease [19][20][21][22].…”

Section: An Introduction To Terminologymentioning

confidence: 99%

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2018

Ultrasound Int Open

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Improved characterisation of histologically proven liver tumours by contrast enhanced ultrasonography during the portal venous and specific late phase of SHU 508A

Cited by 125 publications

References 15 publications

Detection of focal liver lesions in cirrhotic liver using contrast-enhanced ultrasound

Detection of focal liver lesions in cirrhotic liver using contrast-enhanced ultrasound

Temporal regularization of ultrasound-based liver motion estimation for image-guided radiation therapy

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