scholarly journals Efficacy of Second-Look Ultrasound with MR Coregistration for Evaluating Additional Enhancing Lesions of the Breast: Review of the Literature

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Maria Antonietta Mazzei ◽  
Letizia Di Giacomo ◽  
Alfonso Fausto ◽  
Francesco Gentili ◽  
Francesco Giuseppe Mazzei ◽  
...  
Keyword(s):  
Breast Lesion ◽  
High Sensitivity ◽  
Target Lesion ◽  
Imaging Features ◽  
Mr Image ◽  
Additional Information ◽  
Second Look ◽  
Contrast Enhanced ◽  
Malignant Lesions ◽  
A New Technique

Contrast enhanced magnetic resonance imaging (CE-MRI) has acquired a central role in the field of diagnosis and evaluation of breast cancer due to its high sensitivity; on the other hand, MRI has shown a variable specificity because of the wide overlap between the imaging features of benign and malignant lesions. Therefore, when an additional breast lesion is identified at CE-MRI, a second look with targeted US is generally performed because it provides additional information to further characterise the target lesion and makes it possible to perform US-guided biopsies which are costless and more comfortable for patients compared with MRI-guided ones. Nevertheless, there is not always a correspondence between CE-MR findings and targeted US due to several factors including different operator’s experience and position of patients. A new technique has recently been developed in order to overcome these limitations: US with MR coregistration, which can synchronise a sonography image and the MR image with multiplanar reconstruction (MPR) of the same section in real time. The aim of our study is to review the literature concerning the second look performed with this emerging and promising technique, showing both advantages and limitations in comparison with conventional targeted US.

scholarly journals The Use of Contrast-Enhanced Ultrasonography for the Characterization of Focal Liver Lesions

2017 ◽  
Vol 33 (6) ◽  
pp. 500-511
Author(s):  
Jennifer E. Bagley ◽  
Dennis E. Paul ◽  
Sutton Halferty ◽  
Dora DiGiacinto
Keyword(s):  
High Sensitivity ◽  
Diagnostic Process ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Benign Lesions ◽  
Underlying Liver Disease ◽  
Contrast Enhanced ◽  
Contrast Enhanced Ultrasonography ◽  
Malignant Lesions

Focal liver lesions often occur with or without an underlying liver disease. Contrast-enhanced ultrasonography can aid in characterizing liver lesions, potentially avoiding biopsy and computed tomography procedures. Contrast-enhanced ultrasonography has a high sensitivity and specificity for differentiating characteristics of liver lesions compared with noncontrast sonography. The different contrast characteristics aid in differentiating benign and malignant lesions. Malignant lesions tend to have washout of contrast in the venous phases, whereas benign lesions have hyperenhancement during the venous phases. Therefore, contrast-enhanced ultrasonography should be considered an essential component of the diagnostic process for diagnosing and following focal liver lesions.

Value of contrast-enhanced malignancy imaging features in secondary grade diagnosis of BI-RADS-US type 4 breast lesions

2020 ◽  
pp. 030089162096571
Author(s):  
Junxi Gao ◽  
Wei Han ◽  
Di Li Mu La Ti Ai Si Mu Tu La ◽  
Xueqin Hou ◽  
Zhi Ming Li ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Benign Lesion ◽  
Breast Lesions ◽  
Imaging Features ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Peripheral Ring ◽  
Malignant Lesions ◽  
Type 3

Purpose: To explore the value of contrast-enhanced malignancy imaging features in secondary grade diagnosis of Breast Imaging Reporting and Data System for Ultrasonography (BI-RADS-US) type 4 breast lesions. Methods: After initial diagnosis by ultrasound, 124 BI-RADS-US type 4 patients with 130 lesions were examined by contrast-enhanced ultrasound (CEUS) and were classified again before surgery according to five contrast-enhanced malignancy imaging features: inhomogeneous enhancement, peripheral ring-like enhancement, expansive enhancement, internal filling defects, and surrounding radioactive convergence. Lesions with no contrast-enhanced features of malignancy were categorized as type 3; lesions with one, two, or three features of malignancy were categorized as type 4A, 4B, or 4C, respectively; and lesions with four or more indices of malignancy were categorized as type 5. The value of contrasted imaging features of malignancy in diagnosing BI-RADS-US type 4 breast lesions was analyzed. Results: The accuracy of CEUS diagnosis for type 3 lesions was 93.8% (46/49), 76.9% (10/13) for type 4A, 71.4% (5/7) for type 4B, 75.0% (9/12) for type 4C, and 93.8% (46/49) for type 5 lesions. The sensitivity of CEUS in diagnosing malignant lesions was 90.4%, specificity was 83.6%, and accuracy was 86.9%. CEUS decreased the benign lesion biopsy ratio to 68.5% (46/67) and increased the diagnosis ratio of malignant lesions to 73.0% (46/63). Conclusions: CEUS can further optimize the classification of BI-RADS-US type 4 breast lesions and may provide a better reference basis for clinical diagnosis and treatment of those breast lesions.

Morphologic Features of 211 Adrenal Masses at Initial Contrast-Enhanced CT: Can We Differentiate Benign From Malignant Lesions Using Imaging Features Alone?

2013 ◽  
Vol 201 (6) ◽  
pp. 1248-1253 ◽  
Author(s):  
Julie H. Song ◽  
David J. Grand ◽  
Michael D. Beland ◽  
Kevin J. Chang ◽  
Jason T. Machan ◽  
...  
Keyword(s):  
Imaging Features ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Adrenal Masses ◽  
Malignant Lesions

TO SEPARATELY ASSESS THE DIAGNOSTIC POTENTIAL OF TVS & MRI IN THE TERMS OF SENSITIVITY AND SPECIFICITY BY CORRELATING THE IMAGING FINDINGS WITH HISTOPATHOLOGY

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Suraj Mathur
Keyword(s):  
Transvaginal Ultrasound ◽  
High Sensitivity ◽  
Imaging Evaluation ◽  
Medical College ◽  
Conventional Mri ◽  
Diagnostic Potential ◽  
Adc Mapping ◽  
Malignant Lesions ◽  
Sensitivity Specificity

This prospective study was done in the Department of Radio diagnosis Govt. Medical College, Kozhikode. A total of 65 patients who were referred to our department with clinical suspicion of endometrial lesions and incidentally detected endometrial lesions on ultrasonography underwent transvaginal ultrasound and subsequent Imaging evaluation of pelvis MRI has very high sensitivity (95%) and specificity (98%) and is almost as accurate (97%) as histopathology in differentiating benign from malignant lesions. Addition of DWI with ADC mapping to conventional MRI increases its accuracy even more. However there is inherent limitation to MRI in detecting carcinoma in situ and micrometastasis. Keywords: TVS, MRI, Sensitivity, Specificity, Histopathology.

Adenoid Cystic Carcinoma of the Breast detected with Contrast-Enhanced Spectral Mammography: A Case Report

2020 ◽  
Vol 16 ◽  
Author(s):  
Yun-Chung Cheung ◽  
Shir-Hwa Ueng ◽  
Shu-Hang Ng ◽  
Wen-Lin Kuo
Keyword(s):  
Left Breast ◽  
Breast Cancers ◽  
Resonance Imaging ◽  
Carcinoma Of The Breast ◽  
Outer Quadrant ◽  
Additional Information ◽  
Adenoid Cystic ◽  
Modern Technique ◽  
Contrast Enhanced ◽  
Rim Enhancement

Background: Contrast-enhanced spectral mammogram (CESM) is a modern technique providing additional information to detect or diagnose the breast cancers. Introduction: We present a rare ACC of breast on CESM. Methods: A 49-year-old woman with surgicopathological proved ACC is reported with features on CESM, sonography and contrast-enhanced magnetic resonance imaging (CE-MRI). Results: Sonography revealed a 1.4 cm × 1.2 cm × 1 cm circumscribe round mass in the upper outer quadrant of the left breast that was diagnosed to fibroadenoma. The mammogram did not show any discernible mass, however the recombined subtracted images displayed a circumscribe mass with thin rim enhancement and enhanced internal patches that were resembling to CE-MRI. Finally, the mass was proved to ACC. Conclusion: CESM facilitates detection of an isodense cancer and provides the enhanced features for differential diagnosis. Resembling CE-MRI, CESM displayed rim enhancement and internal enhanced patches as diagnostic clues for this case of ACC.

scholarly journals Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions

2021 ◽  
Vol 11 (4) ◽  
pp. 1880
Author(s):  
Roberta Fusco ◽  
Adele Piccirillo ◽  
Mario Sansone ◽  
Vincenza Granata ◽  
Paolo Vallone ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Artificial Intelligence ◽  
Feature Selection ◽  
Resonance Imaging ◽  
Dynamic Features ◽  
Surgical Specimen ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Malignant Lesions

Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statistical analyses including artificial intelligence approaches. Methods: In total, 85 patients with known breast lesion were enrolled in this retrospective study according to regulations issued by the local Institutional Review Board. All patients underwent DCE-MRI examination. The reference standard was pathology from a surgical specimen for malignant lesions and pathology from a surgical specimen or fine needle aspiration cytology, core or Tru-Cut needle biopsy for benign lesions. In total, 91 samples of 85 patients were analyzed. Furthermore, 48 textural metrics, 15 morphological and 81 dynamic parameters were extracted by manually segmenting regions of interest. Statistical analyses including univariate and multivariate approaches were performed: non-parametric Wilcoxon–Mann–Whitney test; receiver operating characteristic (ROC), linear classifier (LDA), decision tree (DT), k-nearest neighbors (KNN), and support vector machine (SVM) were utilized. A balancing approach and feature selection methods were used. Results: The univariate analysis showed low accuracy and area under the curve (AUC) for all considered features. Instead, in the multivariate textural analysis, the best performance (accuracy (ACC) = 0.78; AUC = 0.78) was reached with all 48 metrics and an LDA trained with balanced data. The best performance (ACC = 0.75; AUC = 0.80) using morphological features was reached with an SVM trained with 10-fold cross-variation (CV) and balanced data (with adaptive synthetic (ADASYN) function) and a subset of five robust morphological features (circularity, rectangularity, sphericity, gleaning and surface). The best performance (ACC = 0.82; AUC = 0.83) using dynamic features was reached with a trained SVM and balanced data (with ADASYN function). Conclusion: Multivariate analyses using pattern recognition approaches, including all morphological, textural and dynamic features, optimized by adaptive synthetic sampling and feature selection operations obtained the best results and showed the best performance in the discrimination of benign and malignant lesions.

scholarly journals Quantitative Analysis of the Time–Intensity Curve of Contrast-Enhanced Ultrasound of the Liver: Differentiation of Benign and Malignant Liver Lesions

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1244
Author(s):  
Sonja Schwarz ◽  
Dirk-André Clevert ◽  
Michael Ingrisch ◽  
Thomas Geyer ◽  
Vincent Schwarze ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Diagnostic Accuracy ◽  
Late Phase ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Malignant Lesions ◽  
Benign Liver ◽  
Benign Liver Lesions

Background: To evaluate the diagnostic accuracy of quantitative perfusion parameters in contrast-enhanced ultrasound to differentiate malignant from benign liver lesions. Methods: In this retrospective study 134 patients with a total of 139 focal liver lesions were included who underwent contrast enhanced ultrasound (CEUS) between 2008 and 2018. All examinations were performed by a single radiologist with more than 15 years of experience using a second-generation blood pool contrast agent. The standard of reference was histopathology (n = 60), MRI or CT (n = 75) or long-term CEUS follow up (n = 4). For post processing regions of interests were drawn both inside of target lesions and the liver background. Time–intensity curves were fitted to the CEUS DICOM dataset and the rise time (RT) of contrast enhancement until peak enhancement, and a late-phase ratio (LPR) of signal intensities within the lesion and the background tissue, were calculated and compared between malignant and benign liver lesion using Student’s t-test. Quantitative parameters were evaluated with respect to their diagnostic accuracy using receiver operator characteristic curves. Both features were then combined in a logistic regression model and the cumulated accuracy was assessed. Results: RT of benign lesions (14.8 ± 13.8 s, p = 0.005), and in a subgroup analysis, particular hemangiomas (23.4 ± 16.2 s, p < 0.001) differed significantly to malignant lesions (9.3 ± 3.8 s). The LPR was significantly different between benign (1.59 ± 1.59, p < 0.001) and malignant lesions (0.38 ± 0.23). Logistic regression analysis with RT and LPR combined showed a high diagnostic accuracy of quantitative CEUS parameters with areas under the curve of 0.923 (benign vs. malignant) and 0.929 (hemangioma vs. malignant. Conclusions: Quantified CEUS parameters are helpful to differentiate malignant from benign liver lesions, in particular in case of atypical hemangiomas.

scholarly journals Pulsed Electromagnetic Cross-Well Exploration for Monitoring Permafrost and Examining the Processes of Its Geocryological Changes

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 60
Author(s):  
Viacheslav Glinskikh ◽  
Oleg Nechaev ◽  
Igor Mikhaylov ◽  
Kirill Danilovskiy ◽  
Vladimir Olenchenko
Keyword(s):  
High Performance ◽  
Geophysical Methods ◽  
Three Dimensional ◽  
High Sensitivity ◽  
Data Interpretation ◽  
Industrial Facilities ◽  
Wide Range ◽  
Vector Finite Element ◽  
A New Technique ◽  
Pulsed Electromagnetic

This paper is dedicated to the topical problem of examining permafrost’s state and the processes of its geocryological changes by means of geophysical methods. To monitor the cryolithozone, we proposed and scientifically substantiated a new technique of pulsed electromagnetic cross-well sounding. Based on the vector finite-element method, we created a mathematical model of the cross-well sounding process with a pulsed source in a three-dimensional spatially heterogeneous medium. A high-performance parallel computing algorithm was developed and verified. Through realistic geoelectric models of permafrost with a talik under a highway, constructed following the results of electrotomography field data interpretation, we numerically simulated the pulsed sounding on the computing resources of the Siberian Supercomputer Center of SB RAS. The simulation results suggest the proposed system of pulsed electromagnetic cross-well monitoring to be characterized by a high sensitivity to the presence and dimensions of the talik. The devised approach can be oriented to addressing a wide range of issues related to monitoring permafrost rocks under civil and industrial facilities, buildings, and constructions.

scholarly journals Contrast-Enhanced Ultrasound (CEUS) in Non-Traumatic Abdominal Emergencies

2020 ◽  
Vol 06 (03) ◽  
pp. E76-E86
Author(s):  
Diletta Cozzi ◽  
Simone Agostini ◽  
Elena Bertelli ◽  
Michele Galluzzo ◽  
Emanuela Papa ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ultrasound Imaging ◽  
Acute Inflammation ◽  
Emergency Setting ◽  
Contrast Enhanced Ultrasound ◽  
First Line ◽  
Additional Information ◽  
Contrast Enhanced ◽  
Conventional Ultrasound ◽  
Abdominal Emergencies

AbstractConventional ultrasound imaging (US) is the first-line investigation in acute non-traumatic abdominal emergencies, but sometimes it needs further examinations, such as computed tomography (CT), to reach a certain diagnosis. Contrast-enhanced ultrasound (CEUS), through injection of contrast medium, may provide the radiologist with additional information that could not be investigated with baseline US. It could help reach a diagnosis and rapidly determine the proper therapy in an emergency setting. The purpose of this review is to explain and illustrate the various possibilities and limitations of CEUS in acute non-traumatic abdominal diseases, in particular acute inflammation, parenchymal infarcts, and hemorrhages.

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