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Assessing lesion malignancy by scanning small-angle X-ray scattering of breast tissue with microcalcifications


Arboleda, Carolina; Lütz-Bueno, Viviane; Wang, Zhentian; Villanueva-Perez, Pablo; Guizar-Sicairos, Manuel; Liebi, Marianne; Varga, Zsuzsanna; Stampanoni, Marco (2019). Assessing lesion malignancy by scanning small-angle X-ray scattering of breast tissue with microcalcifications. Physics in Medicine and Biology, 64(15):155010.

Abstract

Scanning small-angle X-ray scattering (SAXS) measurements were performed on 36 formalin-fixed breast tissue biopsies, obtained from two patients. All samples contained microcalcifications of type II, i.e. formed by hydroxyapatite. We demonstrate the feasibility of classifying breast lesions by scanning SAXS of tissues containing microcalcifications with a resolution of 35 μm × 30 μm. We report a characteristic Bragg peak found around q=1.725~nm<sup>-1</sup> that occurs primarily for malignant lesions. Such a clear SAXS fingerprint is potentially linked to structural changes of the breast tissue and correspond to dimensions of about 3.7~nm. Such a material property could be used as an early indicator of malignancy development, as it is readily assessed by SAXS. If this fingerprint is combined with other known SAXS features, which also indicate the level of malignancy, such as lipid spacing and collagen periodicity, it could complement traditional pathology-based analyses. To confirm the SAXS-based classification, a histopathological workup and a gold standard histopathological diagnosis were conducted to determine the malignancy level of the lesions. Our aim is to report this SAXS fingerprint, which is clearly related to malignant breast lesions. However, any further conclusion based on our dataset is limited by the low number of patients and samples. Running a broad study to increase the number of samples and patients is of great importance and relevance for the breast-imaging community.

Abstract

Scanning small-angle X-ray scattering (SAXS) measurements were performed on 36 formalin-fixed breast tissue biopsies, obtained from two patients. All samples contained microcalcifications of type II, i.e. formed by hydroxyapatite. We demonstrate the feasibility of classifying breast lesions by scanning SAXS of tissues containing microcalcifications with a resolution of 35 μm × 30 μm. We report a characteristic Bragg peak found around q=1.725~nm<sup>-1</sup> that occurs primarily for malignant lesions. Such a clear SAXS fingerprint is potentially linked to structural changes of the breast tissue and correspond to dimensions of about 3.7~nm. Such a material property could be used as an early indicator of malignancy development, as it is readily assessed by SAXS. If this fingerprint is combined with other known SAXS features, which also indicate the level of malignancy, such as lipid spacing and collagen periodicity, it could complement traditional pathology-based analyses. To confirm the SAXS-based classification, a histopathological workup and a gold standard histopathological diagnosis were conducted to determine the malignancy level of the lesions. Our aim is to report this SAXS fingerprint, which is clearly related to malignant breast lesions. However, any further conclusion based on our dataset is limited by the low number of patients and samples. Running a broad study to increase the number of samples and patients is of great importance and relevance for the breast-imaging community.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of Pathology and Molecular Pathology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Radiological and Ultrasound Technology
Health Sciences > Radiology, Nuclear Medicine and Imaging
Language:English
Date:7 August 2019
Deposited On:25 Jul 2019 08:55
Last Modified:29 Jul 2020 10:57
Publisher:IOP Publishing
ISSN:0031-9155
OA Status:Green
Publisher DOI:https://doi.org/10.1088/1361-6560/ab2c36
PubMed ID:31234149

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