Real Time Images of Local Ultrasonic Spectral Parameters for Tissue Differentation Through Wavelet Transform

Masotti, L.; Biagi, E.; Acquafresca, A.; Breschi, L.; Lorenzo, F. Di; Granchi, S.; Facchini, R.; Magrini, Elisabetta; Rindi, F.; Scabia, M.; Torricelli, Gionatan

doi:10.1007/978-1-4020-2402-3_61

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The use of RULES produces a final image in which different structural organizations of the tissue are represented by different colors superimposed on a conventional B‐mode image. Biological tissues and conditions can be distinguished in vivo through RULES, and RULES provides immediate clinical diagnostic information 26 …”

Section: Discussionmentioning

confidence: 99%

Clinical Value of Radiofrequency Ultrasonic Local Estimators in Classifying Breast Lesions

Wang

Chen

Liu

et al. 2013

Journal of Ultrasound in Medicine

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reast cancer is the most frequent female malignancy, and its incidence is second overall, constituting 10.9% of cancers. 1 Although the incidence of breast cancer is higher in the United States and northern Europe than in Asia, 2-4 economic development and lifestyle changes in China have substantially increased its incidence, 5 and breast cancer is now the most common malignancy in China. The cure rate for early-stage breast cancer can be up to 97%, although the cure rate for later-stage breast cancer is only 40%. 6 In addition, because the clinical manifestations of early-stage breast cancer are not typical, therapeutic efforts are greatly aided by early detection, diagnosis, and treatment. 6 Jian Wang, MD, PhD, Chunsong Kang, MD, PhD, Xiaofang Liu, MD, Tingting Li, MD, Yu Wang, MD, Tinghua Feng, MD, Zhaojun Li, MD, PhD, Jiping Xue, MD, Kailing Shi, MD Received March 16, 2012, ORIGINAL RESEARCHObjectives-We sought to summarize the features of radiofrequency ultrasonic local estimator (RULES) images of benign and malignant masses and to explore the diagnostic value of RULES scores to identify breast lumps.Methods-A total of 81 women with a mean age ± SD of 41.33 ± 12.03 years (range, 19-68 years) with 82 lesions seen at our hospital were included in this study. Inclusion criteria were Breast Imaging Reporting and Data System grade 2 to 5 breast lesions, preoperative 2-dimensional (2D) ultrasound (US) examinations and RULES image acquisition, no treatment before the US examinations, surgical resection in our hospital, and histopathologic results. Each RULES characteristic was scored on the basis of expected values for malignant characteristics, and this RULES scoring system was assessed by a receiver operating characteristic curve.Results-Of the 82 lesions, 45 were benign, and 37 were malignant. Malignancy was associated with multiple colors, red as the main color, colors distributed in 3 or more locations, aggregated colors, and more than half of the area filled with colors. A RULES score of 7 had the highest sum of sensitivity (67.6%) and specificity (95.6%) and the highest accuracy (82.9%) for diagnosis of malignancy. When 2D US imaging a Breast Imaging Reporting and Data System category of 4 was combined with a RULES score of 4 to detect breast cancer, the sensitivity was 83.8%; the specificity was 93.3%; and the accuracy increased to 89.0%.Conclusions-The use of RULES images and characteristics is helpful in differentiating benign and malignant breast lesions. Diagnostic accuracy can be improved by combining 2D US imaging and RULES.

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Section: Discussionmentioning

confidence: 99%

Clinical Value of Radiofrequency Ultrasonic Local Estimators in Classifying Breast Lesions

Wang

Chen

Liu

et al. 2013

Journal of Ultrasound in Medicine

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“…The experience gained over the year by our group in the study of the ultrasound beam-tissue interaction and spectral signal processing, all with encouraging results (Biagi et al , 2010(Biagi et al , 2011Masotti et al 2002Masotti et al , 2003aMasotti et al , 2003bMasotti et al , 2003cMasotti et al , 2004Masotti et al , 2007Masotti et al , 2008, constitutes the starting point of the proposed algorithm. In particular, important results were obtained from ex vivo experimentation on prostate glands aimed at distinguishing between benign prostatic hyperplasia (BPH) and adenocarcinomas.…”

Section: Introductionmentioning

confidence: 90%

Differentiation of Breast Lesions by Use of HyperSPACE: Hyper-Spectral Analysis for Characterization in Echography

Granchi

Vannacci

Biagi

et al. 2015

Ultrasound in Medicine & Biology

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“…"In vitro" experimentation was carried out on 60 cases (375 scan planes) of adenocarcinoma and a specificity of 91% and a sensitivity of 93% were obtained supported by histological analysis [3].…”

Section: Resultsmentioning

confidence: 99%

“…Special care was taken to preserve the correct anatomical orientation for comparison with RF acquired sections [3].…”

Section: Resultsmentioning

confidence: 99%

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Tissue differentiation based on radiofrequency echographic signal local spectral content

Masotti

Biagi

Granchi

et al.

IEEE Symposium on Ultrasonics, 2003

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An echographic method for investigating biological tissue internal structure in order to differentiate pathological regions is proposed in this work. The method, named RULES (Radiofrequency Ultrasonic Local Estimator), is based on interactive radiofrequency (RF) echographic signal processing. It permits to extract spectral parameters related to the actual organization and mechanical properties of investigated tissue. Spectral images are produced through a processing procedure, based on a statistical analysis of Local Estimators (LE). They are calculated from the spectral coefficients of Discrete Wavelet Packet Transform. The tissue portions, which exhibit the same LE homogeneous distribution, were put in correspondence with condition and type of tissue identified by histological studies. Results obtained on prostate pathology detection, breast tumor detection and carotid vessel plaque localization and differentiation are presented.I.

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Real Time Images of Local Ultrasonic Spectral Parameters for Tissue Differentation Through Wavelet Transform

Cited by 5 publications

References 6 publications

Clinical Value of Radiofrequency Ultrasonic Local Estimators in Classifying Breast Lesions

Clinical Value of Radiofrequency Ultrasonic Local Estimators in Classifying Breast Lesions

Differentiation of Breast Lesions by Use of HyperSPACE: Hyper-Spectral Analysis for Characterization in Echography

Tissue differentiation based on radiofrequency echographic signal local spectral content

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