Ultraschall-Elastographie der Prostata

Lorenz, A.; Ermert, H.; Sommerfeld, H.-J.; Garcia-Schurmann, M.; Senge, Theodor; Philippou, Stathis

doi:10.1055/s-2000-8926

Cited by 42 publications

(7 citation statements)

References 26 publications

(31 reference statements)

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“…Previous studies regarding RTE have shown that RTE is a useful and valuable tool for the assessment of hepatic fibrosis [16,17,18,19,20,21,22]. The subjects of these studies were primarily patients with CHC or chronic viral hepatitis, and there were only two reports regarding patients with CHB.…”

Section: Discussionmentioning

confidence: 97%

“…Studies have demonstrated that RTE is useful for the diagnosis of hepatic fibrosis. However, evaluation indexes for the diagnosis of liver fibrosis in current reports are different, and some indexes are calculated manually and subjectively [16,17,18,19,20,21,22]. Recently, Fujimoto et al [16] reported a novel image analysis method using RTE for the evaluation of hepatic fibrosis in patients with chronic hepatitis C (CHC).…”

Section: Introductionmentioning

confidence: 99%

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Accuracy of Real-Time Tissue Elastography for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis B: A Prospective Multicenter Study

Ren²,

Cong³

et al. 2014

Dig Dis

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Background: The prognosis and management of hepatic fibrosis are closely related to the stage of the disease. The limitations of liver biopsy, which is the gold standard for treatment, include its invasiveness and sampling error. Ultrasound elasticity might be the most promising imaging technology for the noninvasive and accurate assessment of hepatic fibrosis. Real-time tissue elastography (RTE) measures the relative stiffness of the tissue in the region of interest caused by the heartbeat. Many studies have verified that RTE is useful for the diagnosis of hepatic fibrosis in patients with chronic hepatitis C (CHC). Purpose: To determine the formula of the liver fibrosis index for chronic hepatitis B (BLFI) and to validate the diagnostic accuracy of the BLFI for hepatic ﬁbrosis compared with the liver fibrosis index (LFI). Materials and Methods: RTE was performed in 747 prospectively enrolled patients with chronic hepatitis B (CHB) or cirrhosis from 8 centers in China; 375 patients were analyzed as the training set, and 372 patients were evaluated as the validation set. The fibrosis stage was diagnosed from pathological specimens obtained by ultrasound-guided liver biopsy. Nine image features were measured from strain images, and the new formula for the BLFI was obtained by combining the nine imaging features of the RTE images using multiple regression analysis of the training set. The BLFI and LFI were compared with the pathological fibrosis stage at diagnosis, and the diagnostic performances of the indexes were compared. Results: The Spearman correlation coefficient between the BLFI and hepatic fibrosis stages was significantly positive (r = 0.711, p < 0.001), and significant differences were present between all disease stages. The areas under the receiver-operating characteristic (AUROC) curves of the BLFI and LFI for predicting signiﬁcant fibrosis (S0-S1 vs. S2-S4) were 0.858 and 0.858, respectively. For cirrhosis (S0-S3 vs. S4), the AUROC curves of the BLFI and LFI were 0.868 and 0.862, respectively. Conclusion: The results of this large, multicenter study confirmed that RTE is valuable for the diagnosis of hepatic fibrosis in patients with CHB. However, the diagnostic efficiencies of the new BLFI and the original LFI, which were based on CHC, for the assessment of CHB hepatic fibrosis were similar; thus, the LFI has the potential to be used to directly evaluate the extent of hepatic fibrosis in patients with CHB.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Accuracy of Real-Time Tissue Elastography for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis B: A Prospective Multicenter Study

Ren²,

Cong³

et al. 2014

Dig Dis

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“…To confirm these possibilities, it is necessary to examine the relationship between shoulder pain and the elasticity of the coracoacromial ligament in vivo. Many researchers have used ultrasound elastography to evaluate the elasticity of lesions of the breast, prostate, or liver in vivo [6][7][8][9][10]. The purpose of the present study was to clarify elastic changes with aging of the coracoacromial ligament and to clarify the relationship between the elasticity of the coracoacromial ligament and symptoms of rotator cuff tears by means of ultrasound elastography.…”

Section: Introductionmentioning

confidence: 93%

Elasticity of the Coracoacromial Ligament in Shoulders with Rotator Cuff Tears: Measurement with Ultrasound Elastography

Kijima¹,

Minagawa²,

Tomioka³

et al. 2013

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Background: The symptoms of rotator cuff tear vary and may even be absent. Thus, the symptoms cannot be explained solely by the presence of rotator cuff tear, and other factors are thought to be involved. Because the rotator cuff comes in contact with the coracoacromial ligament, the elasticity of the ligament may be a factor of the symptoms. The purpose of this study was to clarify the elasticity of the coracoacromial ligament in live shoulders with rotator cuff tears. Methods: Forty-one shoulders in 24 persons were enrolled in this study. The average age was 52 years old (range, 15 - 84 years old). We investigated the presence of rotator cuff tear and measured the elasticity of the coracoacromial ligament by ultrasound elastography (EUB-7500, HITACHI, Japan). Ultrasound elastography was a useful method to quantify the strain of soft tissue when pressure was added. The strain ratio (the ratio of strain of the coracoacromial ligament to that of the rotator cuff) was used as the index of the elasticity of coracoacromial ligament. Thus, the higher the strain ratio was, the softer the ligament was. Results: The strain ratio of the coracoacromial ligaments without rotator cuff tear showed a negative correlation to the age (r = ﹣0.825, P < 0.01). The strain ratio of the ligaments with rotator cuff tear (23.75 ± 15.05, 69.6 years old) was higher than that of the older ligaments without cuff tear (12.62 ± 7.94, 64.6 years old) (P = 0.0486). In shoulders with rotator cuff tear, the strain ratio of the ligaments with pain (14.37 ± 10.15, 66.7 years old) was lower than that of ligaments without pain (33.12 ± 13.59, 69.1 years old) (P = 0.0221). Conclusions

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“…These modeling approaches link tumor cell motility with surrounding tissue stiffness and solid stress accumulation. While understanding of the link between tissue mechanics and tumor growth continues at the cellular level with molecular pathways slowly being uncovered (Provenzano et al , 2008a; Provenzano et al , 2008b; Conklin et al , 2011; Keely, 2011), and at the diagnostic level with applications being pursued in breast (Barr, 2010; Barr et al , 2012; Sinkus et al , 2007), prostate (Dresner et al , 1998; Lorenz et al , 2000; Kallel et al , 1999), liver (Yin et al , 2007; Sandrin et al , 2003), thyroid (Lyshchik et al , 2005), and brain (Rose et al , 1998), there is still a need to understand how these structural biomarkers could translate into the clinical setting.…”

Section: Introductionmentioning
confidence: 99%

A mechanically coupled reaction–diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy
Weis
¹
,
Miga
²
,
Arlinghaus
³

et al. 2013
Phys. Med. Biol.
67
0
120
0
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There is currently a paucity of reliable techniques for predicting the response of breast tumors to neoadjuvant chemotherapy. The standard approach is to monitor gross changes in tumor size as measured by physical exam and/or conventional imaging, but these methods generally do not show whether a tumor is responding until the patient has received many treatment cycles. One promising approach to address this clinical need is to integrate quantitative in vivo imaging data into biomathematical models of tumor growth in order to predict eventual response based on early measurements during therapy. In this work, we illustrate a novel biomechanical mathematical modeling approach in which contrast enhanced and diffusion weighted magnetic resonance imaging data acquired before and after the first cycle of neoadjuvant therapy are used to calibrate a patient-specific response model which subsequently is used to predict patient outcome at the conclusion of therapy. We present a modification of the reaction-diffusion tumor growth model whereby mechanical coupling to the surrounding tissue stiffness is incorporated via restricted cell diffusion. We use simulations and experimental data to illustrate how incorporating tissue mechanical properties leads to qualitatively and quantitatively different tumor growth patterns than when such properties are ignored. We apply the approach to patient data in a preliminary dataset of eight patients exhibiting a varying degree of responsiveness to neoadjuvant therapy, and we show that the mechanically coupled reaction-diffusion tumor growth model, when projected forward, more accurately predicts residual tumor burden at the conclusion of therapy than the non-mechanically coupled model. The mechanically coupled model predictions exhibit a significant correlation with data observations (PCC = 0.84, p < 0.01), and show a statistically significant >4 fold reduction in model/data error (p = 0.02) as compared to the non-mechanically coupled model.

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Ultraschall-Elastographie der Prostata

Cited by 42 publications

References 26 publications

Accuracy of Real-Time Tissue Elastography for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis B: A Prospective Multicenter Study

Accuracy of Real-Time Tissue Elastography for the Evaluation of Hepatic Fibrosis in Patients with Chronic Hepatitis B: A Prospective Multicenter Study

Elasticity of the Coracoacromial Ligament in Shoulders with Rotator Cuff Tears: Measurement with Ultrasound Elastography

A mechanically coupled reaction–diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy

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