Optoacoustic Breast Imaging: Imaging-Pathology Correlation of Optoacoustic Features in Benign and Malignant Breast Masses

Butler, Reni; Lavin, Philip T.; Tucker, F. Lee; Barke, Lora D.; Böhm-Vélez, Marcela; Destounis, Stamatia; Grobmyer, Stephen R.; Katzen, Janine; Kist, Kenneth; Makariou, Erini; Schilling, Kathy; Young, Catherine A.; Dogan, Basak E.; Neuschler, Erin

doi:10.2214/ajr.17.18435

Cited by 18 publications

(22 citation statements)

References 55 publications

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“…[1][2][3][4][5][6] For breast cancer diagnosis, one promising technique is OA imaging combined with ultrasound (OA/US). [7][8][9][10][11][12][13][14][15][16][17][18][19][20] Combining OA with ultrasound is advantageous because each modality provides information that is complementary to the other. Structural and functional information pertaining to total hemoglobin concentration (c tHb ) and blood oxygen saturation (s O 2 ) can be visualized with OA, while morphological and anatomical information can be obtained with ultrasound.…”

Section: Introductionmentioning

confidence: 99%

“…[24][25][26][27][28] Since OA directly visualizes c tHb and s O 2 , this can potentially give clinicians the ability to perform more accurate diagnosis. [7][8][9][10][11][12][13][14][15] In OA/US, the probe also acquires conventional ultrasound images, which are coregistered and displayed simultaneously with OA.…”

Section: Introductionmentioning

confidence: 99%

“…An immediate goal for OA/US is to potentially allow downgrading mildly suspicious masses to a category where biopsy is not required, without increasing the number of missed cancer cases. [9][10][11][12][13][14][15] It is estimated that over 1.6 million breast biopsies are performed in the United States each year. 22,23 A large percentage of these biopsies are negative, which is due to low positive predictive value of the imaging modalities presently used for assessment.…”

Section: Introductionmentioning

confidence: 99%

“…[7][8][9][10][11][12][13][14][15][16][29][30][31][32][33][34][35][36][37][38][39][40][41][42] Scanning devices include full-breast threedimensional (3-D) imaging systems, [29][30][31][32][33][34][35][36][37][38][39][40][41] as well as real-time two-dimensional (2-D) handheld technologies. [7][8][9][10][11][12][13][14][15][16][17][18]42,43 To date, the largest clinical effort surrounds the Imagio ® breast imaging system (Seno Medical ...…”

Section: Introductionmentioning

confidence: 99%

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Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis

et al. 2019

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Opto-acoustic imaging involves using light to produce sound waves for visualizing blood in biological tissue. By using multiple optical wavelengths, diagnostic images of blood oxygen saturation and total hemoglobin are generated using endogenous optical contrast, without injection of any external contrast agent and without using any ionizing radiation. The technology has been used in recent clinical studies for diagnosis of breast cancer to help distinguish benign from malignant lesions, potentially reducing the need for biopsy through improved diagnostic imaging accuracy. To enable this application, techniques for mapping oxygen saturation differences within tissue are necessary. Using biologically relevant opto-acoustic phantoms, we analyze the ability of an opto-acoustic imaging system to display colorized parametric maps that are generated using a statistical mapping approach. To mimic breast tissue, a material with closely matching properties for optical absorption, optical scattering, acoustic attenuation, and speed of sound is used. The phantoms include two vessels filled with whole blood at oxygen saturation levels determined using a sensor-based approach. A flow system with gas-mixer and membrane oxygenator adjusts the oxygen saturation of each vessel independently. Datasets are collected with an investigational Imagio ® breast imaging system. We examine the ability to distinguish vessels as the oxygen saturation level and imaging depth are varied. At depth of 15 mm and hematocrit of 42%, a sufficient level of contrast to distinguish between two 1.6-mm diameter vessels was measured for an oxygen saturation difference of ∼4.6%. In addition, an oxygenated vessel was visible at a depth of 48 mm using an optical wavelength of 1064 nm, and a deoxygenated vessel was visible to a depth of 42 mm with 757 nm. The results provide insight toward using color mapped opto-acoustic images for diagnosing breast cancer.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis

et al. 2019

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“…A variety of methods have been developed, which allow for objective tissue quantification for both MRI 16 and x-rays. 17,18 Ultrasound imaging is not foreign to this trend, with continuous advances based on elastography, 19,20 contrast agents, 21 optoacoustic imaging, 22,23 and texture analysis, 24 among others. In recent years, an alternative US technology, US computed tomography (USCT), has been developed for tissue quantification, and has shown potential to both detect and differentiate breast lesions.…”

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confidence: 99%

Breast Cancer Assessment With Pulse-Echo Speed of Sound Ultrasound From Intrinsic Tissue Reflections

et al. 2019

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The aim of this study was to differentiate malignant and benign solid breast lesions with a novel ultrasound (US) technique, which measures speed of sound (SoS) using standard US transducers and intrinsic tissue reflections and scattering (speckles) as internal reference. MATERIALS AND METHODS This prospective, institutional review board-approved, Health Insurance Portability and Accountability Act-compliant prospective comparison study was performed with prior written informed consent from 20 women. Ten women with histological proven breast cancer and 10 with fibroadenoma were measured. A conventional US system with a linear probe was used for SoS-US (SonixTouch; Ultrasonix, Richmond, British Columbia, Canada). Tissue speckle reflections served as a timing reference for the US signals transmitted through the breasts. Relative phase inconsistencies were detected using plane wave measurements from different angular directions, and SoS images with 0.5-mm resolution were generated using a spatial domain reconstruction algorithm. The SoS of tumors were compared with the breast density of a larger cohort of 106 healthy women. RESULTS Breast lesions show focal increments ΔSoS (meters per second) with respect to the tissue background. Peak ΔSoS values were evaluated. Breast carcinoma showed significantly higher ΔSoS than fibroadenomas ([INCREMENT]SoS > 41.64 m/s: sensitivity, 90%; specificity, 80%; area under curve, 0.910) and healthy breast tissue of different densities (area under curve, 0.938; sensitivity, 90%; specificity, 96.5%). The lesion localization in SoS-US images was consistent with B-mode imaging and repeated SoS-US measurements were reproducible. CONCLUSIONS Using SoS-US, based on conventional US and tissue speckles as timing reference, breast carcinoma showed significantly higher SoS values than fibroadenoma and healthy breast tissue of different densities. The SoS presents a promising technique for differentiating solid breast lesions.

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Optoacoustic imaging of the breast: correlation with histopathology and histopathologic biomarkers

et al. 2019

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AimThis study was conducted in order to investigate the role of gray-scale ultrasound (US) and optoacoustic imaging combined with gray-scale ultrasound (OA/US) to better differentiate between breast cancer molecular subtypes.Materials and methodsAll 67 malignant masses included in the Maestro trial were retrospectively reviewed to compare US and OA/US feature scores and histopathological findings. Kruskal–Wallis tests were used to analyze the relationship between US and OA/US features and molecular subtypes of breast cancer. If a significant relationship was found, additional Wilcoxon–Mann–Whitney tests were used to identify the differences between molecular subtype groups.ResultsUS sound transmission helped to differentiate between LUMA and LUMB, LUMB and TNBC, and LUMB and all other molecular subtypes combined (p values < 0.05). Regarding OA/US features, the sum of internal features helped to differentiate between TNBC and HER2-enriched subtypes (p = 0.049). Internal vessels (p = 0.025), sum of all internal features (p = 0.019), and sum of internal and external features (p = 0.028) helped to differentiate between LUMA and LUMB. All internal features, the sum of all internal features, the sum of all internal and external features, and the ratio of internal and external features helped to differentiate between LUMA and TNBC. The same features also helped to differentiate between LUMA and TNBC from other molecular subtypes (p values < 0.05).ConclusionsThe use of OA/US might help radiologists to better differentiate between breast cancer molecular subtypes. Further studies need to be carried out in order to validate these results.Key Points • The combination of functional and morphologic information provided by optoacoustic imaging (OA) combined with gray-scale US helped to differentiate between breast cancer molecular subtypes. Electronic supplementary materialThe online version of this article (10.1007/s00330-019-06262-0) contains supplementary material, which is available to authorized users.

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Optoacoustic Breast Imaging: Imaging-Pathology Correlation of Optoacoustic Features in Benign and Malignant Breast Masses

Cited by 18 publications

References 55 publications

Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis

Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis

Breast Cancer Assessment With Pulse-Echo Speed of Sound Ultrasound From Intrinsic Tissue Reflections

Optoacoustic imaging of the breast: correlation with histopathology and histopathologic biomarkers

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