Lesion Detectability in Ultrasonic Computed Tomography of Symptomatic Breast Patients

Carson, Paul L.; Scherzinger, Ann; Meyer, Charles R.; Jobe, W E; Samuels, Barry I; Adler, Dorit D.

doi:10.1097/00004424-198806000-00003

Cited by 10 publications

(10 citation statements)

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“…In most cases, ultrasound velocities were, unlike in our study, not directly assessed but were recalculated from tomographic methods. [3][4][5][6] Because of the influences of ultrasound scattering, diffraction, and multiple reflections, calculation errors (linear propagation of waves assumed) are unavoidable, and the influences of the reconstruction algorithm on calculated velocities are difficult to assess.…”

Section: Discussionmentioning

confidence: 99%

“…These results were supported by in vivo experiments using ultrasound transmission tomography under laboratory conditions; this technique yielded calculated images with calculated ultrasound velocity information. [3][4][5] In single experiments, these examinations were complemented by simultaneous assessment of ultrasound brightness images, 6 which displayed reflexivity. These complicated methods were not routinely used in clinical practice.…”

mentioning

confidence: 99%

“…However, based on these assumptions, not all breast cancers could be diagnosed. Because the existing data were either not directly measured (ultrasound tomography [3][4][5][6], were restricted to only a few samples, 2 or did not contain information about the exact type of tissues examined, 12 a comprehensive study concerning ultrasound velocity in different breast tissues was undertaken. In this study, ultrasound velocity was directly measured on freshly excised breast tissue (which allowed us to exclude inaccuracies that occur in ultrasound CT only and which are caused by the algorithms used for ultrasound CT.…”

mentioning

confidence: 99%

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Direct Measurement of Sound Velocity in Various Specimens of Breast Tissue

Weiwad¹,

Heinig²,

Goetz³

et al. 2000

Investigative Radiology

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Direct Measurement of Sound Velocity in Various Specimens of Breast Tissue

Weiwad¹,

Heinig²,

Goetz³

et al. 2000

Investigative Radiology

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“…Additionally, challenges exist with the subjective assessment of breast density, as multiple studies have demonstrated significant inter-and intra-reader variability. 16,17 Transmission ultrasound imaging is an emerging technology that has a long history [18][19][20][21][22][23][24][25][26][27][28][29] that provides a 3D representation of tissue characteristics. The purpose of the work described in this paper was twofold: (a) to establish an algorithm for quantitative assessment of breast density using full-wave 3D transmission ultrasound imaging 28 and (b) to determine how these quantitative assessments relate to both subjective mammographic assessments of BI-RADS breast composition categories and objective measures provided by FDA-cleared VolparaDensity software.…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of breast density using transmission ultrasound tomography

et al. 2019

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Purpose Breast density is important in the evaluation of breast cancer risk. At present, breast density is evaluated using two‐dimensional projections from mammography with or without tomosynthesis using either (a) subjective assessment or (b) a computer‐aided approach. The purpose of this work is twofold: (a) to establish an algorithm for quantitative assessment of breast density using quantitative three‐dimensional transmission ultrasound imaging; and (b) to determine how these quantitative assessments compare with both subjective and objective mammographic assessments of breast density. Methods We described and verified a threshold‐based segmentation algorithm to give a quantitative breast density ( QBD ) on ultrasound tomography images of phantoms of known geometric forms. We also used the algorithm and transmission ultrasound tomography to quantitatively determine breast density by separating fibroglandular tissue from fat and skin, based on imaged, quantitative tissue characteristics, and compared the quantitative tomography segmentation results with subjective and objective mammographic assessments. Results Quantitative breast density ( QBD ) measured in phantoms demonstrates high quantitative accuracy with respect to geometric volumes with average difference of less than 0.1% of the total phantom volumes. There is a strong correlation between QBD and both subjective mammographic assessments of Breast Imaging ‐ Reporting and Data System ( BI ‐ RADS ) breast composition categories and Volpara density scores — the Spearman correlation coefficients for the two comparisons were calculated to be 0.90 (95% CI : 0.71–0.96) and 0.96 (95% CI : 0.92–0.98), respectively. Conclusions The calculation of breast density using ultrasound tomography and the described segmentation algorithm is quantitatively accurate in phantoms and highly correlated with both subjective and Food and Drug Administration ( FDA )‐cleared objective assessments of breast density.

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“…Therefore the two methods supplement each other [14]. Breast lesions can change ultrasonic velocity [15,16], although until now it was not possible to use this property for detection and diagnosis in daily practice [17,18].…”

Section: Introductionmentioning

confidence: 99%

Clinical amplitude/velocity reconstructive imaging (CARD) — a new sonographic method for detecting breast lesions

Richter

1995

The British Journal of Radiology

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X-ray mammography and breast ultrasound are methods for the detection of breast lesions, especially cancers. They work in a complementary manner, but only X-ray mammography can be used for screening purposes because the recent sonographic techniques are not as cost-effective, not as fast as mammography, observer-dependent and, in some instances, not reliable enough. A new ultrasound method is described which uses an X-ray-identical examination set-up and the following two properties of breast lesions: change of echo patterns behind the lesion and increased sound velocity, especially within malignant lesions. These features can be imaged on a reference structure, a reflecting plate positioned on the side of the breast which is opposite to the transducer. Results of pre-operative examinations of 80 patients with 39 benign and 52 malignant lesions are reported. Clinical, histopathological, and especially X-ray mammography findings are compared. Five cancers were not detectable by ultrasound but had clear suspicious signs on X-ray mammography. Nine cancers were not detected by X-ray mammography but were clearly visible with the new sonographic examination. By the combination of X-ray mammographic findings and their behaviour with the new sonographic method some lesions could correctly be identified as benign. The new sonographic method works in a complementary way to X-ray mammography. By further technical development it could be automated and probably performed as easily, as fast and as reproducibly as X-ray mammography. Using this method systematically in combination with X-ray mammography the detection rate of breast cancer could possibly be increased and unnecessary biopsies of benign lesions could be prevented.

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Lesion Detectability in Ultrasonic Computed Tomography of Symptomatic Breast Patients

Cited by 10 publications

References 0 publications

Direct Measurement of Sound Velocity in Various Specimens of Breast Tissue

Direct Measurement of Sound Velocity in Various Specimens of Breast Tissue

Quantitative assessment of breast density using transmission ultrasound tomography

Clinical amplitude/velocity reconstructive imaging (CARD) — a new sonographic method for detecting breast lesions

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