Discrimination of breast microcalcifications using a strain-compounding technique with ultrasound speckle factor imaging

Liao, Yin-Yin; Li, Chia-Hui; Tsui, Po-Hsiang; Chang, Chien‐Cheng; Kuo, Wen‐Hung; Chang, King‐Jen; Yeh, Chih‐Kuang

doi:10.1109/tuffc.2014.2991

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…By combination of CFAR and straincompounding technique, MicroPure was able to effectively reduce speckles and elevate signal-noise ratio (SNR) to a higher level. Similarly, high-frequency ultrasound whose spatial resolution is less than 1 mm can easily make out micro-calcifications against background signals in ex vivo specimen (36)(37)(38). However, these experimental techniques await for further evidence.…”

Section: Conventional Imaging Methodsmentioning

confidence: 99%

Development of intraoperative assessment of margins in breast conserving surgery: a narrative review

Li¹,

Li²

2022

Gland Surg

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Objective: We intend to provide an informative and up-to-date summary on the topic of intraoperative assessment of margins in breast conserving surgery (BCS). Conventional methods as well as cutting-edge technologies are analyzed for their advantages and limitations in the hope that clinicians can turn to this for reference. This review can also offer guidance for technicians in the future design of intraoperative margin assessment tools.Background: Achieving negative margins during BCS is one of the vital factors for preventing local recurrence. Conducting intraoperative margin assessment can ensure negative margins to a large extent and possibly relieve patients of the anguish of re-interventions. In recent years, innovative methods for margin assessment during BCS are advancing rapidly. And there is a lack of summary regarding the development of intraoperative margin assessment in BCS.Methods: A PubMed search with keywords "intraoperative margin assessment" and "breast conserving surgery" was conducted. Relevant publications were screened manually for its title, abstract and even full text to determine its true relevance. Publications on neo-adjuvant therapy and intraoperative radiotherapy were excluded. References from the searched articles and other supplementary articles were also looked into.Conclusions: Conventional methods for margin assessment yields stable outcome but its use is limited because of the demand on pathology staff and the trade-off between time and precision. Conventional imaging techniques pass the workload to radiologists at the cost of a significantly low duration of time.Involving artificial intelligence for image-based assessment is a further improvement. However, conventional imaging is inherently flawed in that occult lesions can't show on the image and the showing ones are ambiguous and open to interpretation. Unconventional techniques which base their judgment on cellular composition are more reassuring. Nonetheless, unconventional techniques should be subjected to clinical trials before putting into practice. And studies regarding comparison between conventional methods and unconventional methods are also needed to evaluate their relative efficacy.

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Section: Conventional Imaging Methodsmentioning

confidence: 99%

Development of intraoperative assessment of margins in breast conserving surgery: a narrative review

Li¹,

Li²

2022

Gland Surg

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“…X-ray-based imaging is considered to be generally more effective than other imaging modalities for breast cancer screening and detection because it is able to visualize microcalcifications more consistently than other methods. For example, microcalcificiation conspicuity in ultrasound is degraded by speckle noise, 1 and MRI for breast imaging relies on enhancement using contrast agents that do not exhibit uptake by microcalcifications. 2 However, conventional x-ray imaging is limited by the low contrast of ∼3% 3 between the x-ray linear attenuation coefficients of healthy and diseased breast tissues at mammography energies (∼20 keV).…”

Section: Introductionmentioning

confidence: 99%

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

et al. 2017

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Although transmission-based x-ray imaging is the most commonly used imaging approach for breast cancer detection, it exhibits false negative rates higher than 15%. To improve cancer detection accuracy, x-ray coherent scatter computed tomography (CSCT) has been explored to potentially detect cancer with greater consistency. However, the 10-min scan duration of CSCT limits its possible clinical applications. The coded aperture coherent scatter spectral imaging (CACSSI) technique has been shown to reduce scan time through enabling single-angle imaging while providing high detection accuracy. Here, we use Monte Carlo simulations to test analytical optimization studies of the CACSSI technique, specifically for detecting cancer in breast samples. An anthropomorphic breast tissue phantom was modeled, a CACSSI imaging system was virtually simulated to image the phantom, a diagnostic voxel classification algorithm was applied to all reconstructed voxels in the phantom, and receiver-operator characteristics analysis of the voxel classification was used to evaluate and characterize the imaging system for a range of parameters that have been optimized in a prior analytical study. The results indicate that CACSSI is able to identify the distribution of cancerous and healthy tissues (i.e., fibroglandular, adipose, or a mix of the two) in tissue samples with a cancerous voxel identification area-under-the-curve of 0.94 through a scan lasting less than 10 s per slice. These results show that coded aperture scatter imaging has the potential to provide scatter images that automatically differentiate cancerous and healthy tissue within samples. Furthermore, the results indicate potential CACSSI imaging system configurations for implementation in subsequent imaging development studies.

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A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging

Zhou

et al. 2015

J Med Syst

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Fatty liver disease is a common disease caused by alcoholism, obesity, and diabetes, resulting in triglyceride accumulation in hepatocytes. Kurtosis coefficient, a measure of the peakedness of the probability distribution, has been applied to the analysis of backscattered statistics for characterizing fatty liver. This study proposed ultrasound kurtosis imaging as a computer-aided diagnosis (CAD) method to visually and quantitatively stage the fatty liver. A total of 107 patients were recruited to participate in the experiments. The livers were scanned using a clinical ultrasound scanner with a 3.5-MHz curved transducer to acquire the raw ultrasound backscattered signals for kurtosis imaging. The kurtosis image was constructed using the sliding window technique. Experimental results showed that kurtosis imaging has the ability to visualize and quantify the variation of backscattered statistics caused by fatty infiltration. The kurtosis coefficient corresponding to liver parenchyma decreased from 5.41 ± 0.89 to 3.68 ± 0.12 with increasing the score of fatty liver from 0 (normal) to 3 (severe), indicating that fatty liver reduces the degree of peakedness of backscattered statistics. The best performance of kurtosis imaging was found when discriminating between normal and fatty livers with scores ≥1: the area under the curve (AUC) is 0.92 at a cutoff value of 4.36 (diagnostic accuracy =86.9 %, sensitivity =86.7 %, specificity =87.0 %). The current findings suggest that kurtosis imaging may be useful in designing CAD tools to assist in physicians in early detection of fatty liver.

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Discrimination of breast microcalcifications using a strain-compounding technique with ultrasound speckle factor imaging

Cited by 6 publications

References 41 publications

Development of intraoperative assessment of margins in breast conserving surgery: a narrative review

Development of intraoperative assessment of margins in breast conserving surgery: a narrative review

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging

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