Computer-assisted assessment of ultrasound real-time elastography: Initial experience in 145 breast lesions

PurposeTo develop and evaluate a computer-assisted method of quantifying five-point elasticity scoring system based on ultrasound real-time elastography (RTE), for classifying benign and malignant breast lesions, with pathologic results as the reference standard.Materials and methodsConventional ultrasonography (US) and RTE images of 145 breast lesions (67 malignant, 78 benign) were performed in this study. Each lesion was automatically contoured on the B-mode image by the level set method and mapped on the RTE image. The relative elasticity value of each pixel was reconstructed and classified into hard or soft by the fuzzy c-means clustering method. According to the hardness degree inside lesion and its surrounding tissue, the elasticity score of the RTE image was computed in an automatic way. Visual assessments of the radiologists were used for comparing the diagnostic performance. Histopathologic examination was used as the reference standard. The Student's t test and receiver operating characteristic (ROC) curve analysis were performed for statistical analysis.ResultsConsidering score 4 or higher as test positive for malignancy, the diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 93.8% (136/145), 92.5% (62/67), 94.9% (74/78), 93.9% (62/66), and 93.7% (74/79) for the computer-assisted scheme, and 89.7% (130/145), 85.1% (57/67), 93.6% (73/78), 92.0% (57/62), and 88.0% (73/83) for manual assessment. Area under ROC curve (A_z value) for the proposed method was higher than the A_z value for visual assessment (0.96 vs. 0.93).ConclusionComputer-assisted quantification of classical five-point scoring system can significantly eliminate the interobserver variability and thereby improve the diagnostic confidence of classifying the breast lesions to avoid unnecessary biopsy.     

B-Mode Ultrasound Combined with Color Doppler and Strain Elastography in the Diagnosis of Non-mass Breast Lesions: A Prospective Study

Non-mass breast lesions on ultrasound (US) are areas without an associated mass. The purpose of this study was to evaluate whether combining B-mode US with color Doppler US and strain elastography (SE) improves US differentiation between benign and malignant non-mass breast lesions and the decision for biopsy. In this prospective study, three different radiologists analyzed the US images of 77 non-mass lesions independently and recorded Breast Imaging Reporting and Data System (BI-RADS) categories for four data sets. The image characteristics and BI-RADS categories of the four data sets were analyzed by another radiologist. The final diagnosis was made on the basis of pathologic findings. Values for area under the receiver operating curve (AUC), sensitivity, specificity and accuracy were compared among the data sets. The AUC of B-mode US combined with both color Doppler US and SE was greater than that of B-mode US alone (0.666 vs. 0.828) (p = 0.011). The specificity of making the decision for biopsy increased from 6.5% to 38.7% when B-mode US was combined with color Doppler and SE, without a statistically significant change in sensitivity (p < 0.001). Combined use of color Doppler and SE could improve the diagnostic value of B-mode US in distinguishing benign from malignant non-mass breast lesions and the specificity of making the decision for biopsy of non-mass breast lesions.     

Evolution of hepatic fibrosis research

Molecular analysis of hepatic fibrogenesis has progressed with respect to both fibrosis progression and regression by using cell biological, molecular biological and (epi)genetic approaches. Recent researches have revealed sources of collagen‐producing cells other than hepatic stellate cells in the liver, and the involvement of the innate immune system and oxidative stress in the fibrotic process has attracted new attention. Together with these advancements in basic knowledge on the cellular and molecular biology of hepatic fibrosis, clinical researches have linked the clarification of the relationship between progression of the fibrosis stage and therapeutic efficacy for chronic viral hepatitis and non‐alcoholic steatohepatitis and validation of the regression of advanced fibrosis, even cirrhosis, of appropriate therapies using modern medicines. Furthermore, non‐invasive assessment of liver fibrosis using an ultrasound‐based modality has become a focus in the clinical diagnosis of liver fibrosis instead of liver biopsy. Taken together, liver fibrosis research has been evolving both basically and clinically in the past three decades.