Biopathologic Characterization and Grade Assessment of Breast Cancer With 3-D Multiparametric Ultrasound Combining Shear Wave Elastography and Backscatter Tensor Imaging. Guillaumin, J., Djerroudi, L., Aubry, J., Tardivon, A., Dizeux, A., Tanter, M., Vincent-Salomon, A., & Berthon, B. Ultrasound in Medicine and Biology, 50(4):474–483, April, 2024. 0 citations (Crossref) [2024-04-25] Publisher: Elsevier
Paper doi abstract bibtex Objective Despite recent improvements in medical imaging, the final diagnosis and biopathologic characterization of breast cancers currently still requires biopsies. Ultrasound is commonly used for clinical examination of breast masses. B-Mode and shear wave elastography (SWE) are already widely used to detect suspicious masses and differentiate benign lesions from cancers. But additional ultrasound modalities such as backscatter tensor imaging (BTI) could provide relevant biomarkers related to tissue organization. Here we describe a 3-D multiparametric ultrasound approach applied to breast carcinomas in the aims of (i) validating the ability of BTI to reveal the underlying organization of collagen fibers and (ii) assessing the complementarity of SWE and BTI to reveal biopathologic features of diagnostic interest. Methods Three-dimensional SWE and BTI were performed ex vivo on 64 human breast carcinoma samples using a linear ultrasound probe moved by a set of motors. Here we describe a 3-D multiparametric representation of the breast masses and quantitative measurements combining B-mode, SWE and BTI. Results Our results reveal for the first time that BTI can capture the orientation of the collagen fibers around tumors. BTI was found to be a relevant marker for assessing cancer stages, revealing a more tangent tissue orientation for in situ carcinomas than for invasive cancers. In invasive cases, the combination of BTI and SWE parameters allowed for classification of invasive tumors with respect to their grade with an accuracy of 95.7%. Conclusion Our results highlight the potential of 3-D multiparametric ultrasound imaging for biopathologic characterization of breast tumors.
@article{guillaumin_biopathologic_2024,
title = {Biopathologic {Characterization} and {Grade} {Assessment} of {Breast} {Cancer} {With} 3-{D} {Multiparametric} {Ultrasound} {Combining} {Shear} {Wave} {Elastography} and {Backscatter} {Tensor} {Imaging}},
volume = {50},
issn = {0301-5629, 1879-291X},
url = {https://www.sciencedirect.com/science/article/pii/S0301562923003800},
doi = {10.1016/j.ultrasmedbio.2023.12.004},
abstract = {Objective
Despite recent improvements in medical imaging, the final diagnosis and biopathologic characterization of breast cancers currently still requires biopsies. Ultrasound is commonly used for clinical examination of breast masses. B-Mode and shear wave elastography (SWE) are already widely used to detect suspicious masses and differentiate benign lesions from cancers. But additional ultrasound modalities such as backscatter tensor imaging (BTI) could provide relevant biomarkers related to tissue organization. Here we describe a 3-D multiparametric ultrasound approach applied to breast carcinomas in the aims of (i) validating the ability of BTI to reveal the underlying organization of collagen fibers and (ii) assessing the complementarity of SWE and BTI to reveal biopathologic features of diagnostic interest.
Methods
Three-dimensional SWE and BTI were performed ex vivo on 64 human breast carcinoma samples using a linear ultrasound probe moved by a set of motors. Here we describe a 3-D multiparametric representation of the breast masses and quantitative measurements combining B-mode, SWE and BTI.
Results
Our results reveal for the first time that BTI can capture the orientation of the collagen fibers around tumors. BTI was found to be a relevant marker for assessing cancer stages, revealing a more tangent tissue orientation for in situ carcinomas than for invasive cancers. In invasive cases, the combination of BTI and SWE parameters allowed for classification of invasive tumors with respect to their grade with an accuracy of 95.7\%.
Conclusion
Our results highlight the potential of 3-D multiparametric ultrasound imaging for biopathologic characterization of breast tumors.},
language = {English},
number = {4},
urldate = {2024-04-22},
journal = {Ultrasound in Medicine and Biology},
author = {Guillaumin, Jean-Baptiste and Djerroudi, Lounes and Aubry, Jean-François and Tardivon, Anne and Dizeux, Alexandre and Tanter, Mickaël and Vincent-Salomon, Anne and Berthon, Béatrice},
month = apr,
year = {2024},
pmid = {38195266},
note = {0 citations (Crossref) [2024-04-25]
Publisher: Elsevier},
keywords = {Backscatter tensor imaging, Breast cancer, Collagen fibers, Shear wave elastography, Tissue characterization, Ultrasonic imaging},
pages = {474--483},
}
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Ultrasound is commonly used for clinical examination of breast masses. B-Mode and shear wave elastography (SWE) are already widely used to detect suspicious masses and differentiate benign lesions from cancers. But additional ultrasound modalities such as backscatter tensor imaging (BTI) could provide relevant biomarkers related to tissue organization. Here we describe a 3-D multiparametric ultrasound approach applied to breast carcinomas in the aims of (i) validating the ability of BTI to reveal the underlying organization of collagen fibers and (ii) assessing the complementarity of SWE and BTI to reveal biopathologic features of diagnostic interest. Methods Three-dimensional SWE and BTI were performed ex vivo on 64 human breast carcinoma samples using a linear ultrasound probe moved by a set of motors. Here we describe a 3-D multiparametric representation of the breast masses and quantitative measurements combining B-mode, SWE and BTI. Results Our results reveal for the first time that BTI can capture the orientation of the collagen fibers around tumors. BTI was found to be a relevant marker for assessing cancer stages, revealing a more tangent tissue orientation for in situ carcinomas than for invasive cancers. In invasive cases, the combination of BTI and SWE parameters allowed for classification of invasive tumors with respect to their grade with an accuracy of 95.7%. Conclusion Our results highlight the potential of 3-D multiparametric ultrasound imaging for biopathologic characterization of breast tumors.","language":"English","number":"4","urldate":"2024-04-22","journal":"Ultrasound in Medicine and Biology","author":[{"propositions":[],"lastnames":["Guillaumin"],"firstnames":["Jean-Baptiste"],"suffixes":[]},{"propositions":[],"lastnames":["Djerroudi"],"firstnames":["Lounes"],"suffixes":[]},{"propositions":[],"lastnames":["Aubry"],"firstnames":["Jean-François"],"suffixes":[]},{"propositions":[],"lastnames":["Tardivon"],"firstnames":["Anne"],"suffixes":[]},{"propositions":[],"lastnames":["Dizeux"],"firstnames":["Alexandre"],"suffixes":[]},{"propositions":[],"lastnames":["Tanter"],"firstnames":["Mickaël"],"suffixes":[]},{"propositions":[],"lastnames":["Vincent-Salomon"],"firstnames":["Anne"],"suffixes":[]},{"propositions":[],"lastnames":["Berthon"],"firstnames":["Béatrice"],"suffixes":[]}],"month":"April","year":"2024","pmid":"38195266","note":"0 citations (Crossref) [2024-04-25] Publisher: Elsevier","keywords":"Backscatter tensor imaging, Breast cancer, Collagen fibers, Shear wave elastography, Tissue characterization, Ultrasonic imaging","pages":"474–483","bibtex":"@article{guillaumin_biopathologic_2024,\n\ttitle = {Biopathologic {Characterization} and {Grade} {Assessment} of {Breast} {Cancer} {With} 3-{D} {Multiparametric} {Ultrasound} {Combining} {Shear} {Wave} {Elastography} and {Backscatter} {Tensor} {Imaging}},\n\tvolume = {50},\n\tissn = {0301-5629, 1879-291X},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0301562923003800},\n\tdoi = {10.1016/j.ultrasmedbio.2023.12.004},\n\tabstract = {Objective\nDespite recent improvements in medical imaging, the final diagnosis and biopathologic characterization of breast cancers currently still requires biopsies. Ultrasound is commonly used for clinical examination of breast masses. B-Mode and shear wave elastography (SWE) are already widely used to detect suspicious masses and differentiate benign lesions from cancers. But additional ultrasound modalities such as backscatter tensor imaging (BTI) could provide relevant biomarkers related to tissue organization. Here we describe a 3-D multiparametric ultrasound approach applied to breast carcinomas in the aims of (i) validating the ability of BTI to reveal the underlying organization of collagen fibers and (ii) assessing the complementarity of SWE and BTI to reveal biopathologic features of diagnostic interest.\nMethods\nThree-dimensional SWE and BTI were performed ex vivo on 64 human breast carcinoma samples using a linear ultrasound probe moved by a set of motors. Here we describe a 3-D multiparametric representation of the breast masses and quantitative measurements combining B-mode, SWE and BTI.\nResults\nOur results reveal for the first time that BTI can capture the orientation of the collagen fibers around tumors. BTI was found to be a relevant marker for assessing cancer stages, revealing a more tangent tissue orientation for in situ carcinomas than for invasive cancers. In invasive cases, the combination of BTI and SWE parameters allowed for classification of invasive tumors with respect to their grade with an accuracy of 95.7\\%.\nConclusion\nOur results highlight the potential of 3-D multiparametric ultrasound imaging for biopathologic characterization of breast tumors.},\n\tlanguage = {English},\n\tnumber = {4},\n\turldate = {2024-04-22},\n\tjournal = {Ultrasound in Medicine and Biology},\n\tauthor = {Guillaumin, Jean-Baptiste and Djerroudi, Lounes and Aubry, Jean-François and Tardivon, Anne and Dizeux, Alexandre and Tanter, Mickaël and Vincent-Salomon, Anne and Berthon, Béatrice},\n\tmonth = apr,\n\tyear = {2024},\n\tpmid = {38195266},\n\tnote = {0 citations (Crossref) [2024-04-25]\nPublisher: Elsevier},\n\tkeywords = {Backscatter tensor imaging, Breast cancer, Collagen fibers, Shear wave elastography, Tissue characterization, Ultrasonic imaging},\n\tpages = {474--483},\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","author_short":["Guillaumin, J.","Djerroudi, L.","Aubry, J.","Tardivon, A.","Dizeux, A.","Tanter, M.","Vincent-Salomon, A.","Berthon, B."],"key":"guillaumin_biopathologic_2024","id":"guillaumin_biopathologic_2024","bibbaseid":"guillaumin-djerroudi-aubry-tardivon-dizeux-tanter-vincentsalomon-berthon-biopathologiccharacterizationandgradeassessmentofbreastcancerwith3dmultiparametricultrasoundcombiningshearwaveelastographyandbackscattertensorimaging-2024","role":"author","urls":{"Paper":"https://www.sciencedirect.com/science/article/pii/S0301562923003800"},"keyword":["Backscatter tensor imaging","Breast cancer","Collagen fibers","Shear wave elastography","Tissue characterization","Ultrasonic imaging"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero-group/webmaster-physmed/4989618 ","dataSources":["2zmHfMJTjh9nWweKf","z9W9wo2W8WdNKYzBC"],"keywords":["backscatter tensor imaging","breast cancer","collagen fibers","shear wave elastography","tissue characterization","ultrasonic imaging"],"search_terms":["biopathologic","characterization","grade","assessment","breast","cancer","multiparametric","ultrasound","combining","shear","wave","elastography","backscatter","tensor","imaging","guillaumin","djerroudi","aubry","tardivon","dizeux","tanter","vincent-salomon","berthon"],"title":"Biopathologic Characterization and Grade Assessment of Breast Cancer With 3-D Multiparametric Ultrasound Combining Shear Wave Elastography and Backscatter Tensor Imaging","year":2024}