Effectiveness of evaluating tumor vascularization using 3D power Doppler ultrasound with high-definition flow technology in the prediction of the response to neoadjuvant chemotherapy for T2 breast cancer: a preliminary report

Shia, Wei‐Chung; Chen, Dar‐Ren; Huang, Yu-Len; Wu, Hwa-Koon; Kuo, Shou‐Jen

doi:10.1088/0031-9155/60/19/7763

Cited by 13 publications

(10 citation statements)

References 28 publications

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Section: Discussionmentioning

confidence: 99%

“…Combining the pathology data (histology, grade, tumor biomarker expression) with sonography or mammography features, or adding additional imaging features to improve the predictive accuracy is a well-known approach and has demonstrated a good prediction performance. 26,27 However, the acquisition of pathology data and assessment of additional image features requires further analysis, as this can be labor-intensive work. In this study, the analysis was simply based on the variation of fundamental vascular flow indices, and our preliminary results show that these variations provide sufficient information to directly improve the observation of the chemotherapy response.…”

Section: Discussionmentioning

confidence: 99%

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Using Flow Characteristics in Three-Dimensional Power Doppler Ultrasound Imaging to Predict Complete Responses in Patients Undergoing Neoadjuvant Chemotherapy

Shia

Huang

et al. 2017

J Ultrasound Med

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Using Flow Characteristics in Three-Dimensional Power Doppler Ultrasound Imaging to Predict Complete Responses in Patients Undergoing Neoadjuvant Chemotherapy

Shia

Huang

et al. 2017

J Ultrasound Med

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“…Further development of integrating this technology with 3-D ultrasound imaging can enhance the accuracy and reliability in the assessment of intranodal vascularity. Previous studies on analysis of the VI of breast cancer in 3-D ultrasound found that intra-tumour VI is useful in the evaluation of prognosis and treatment response of breast cancer patients (26,27). Recent superb microvascular imaging (SMI) technology allows for detection of microvascularity.…”

Section: A B Cmentioning

confidence: 99%

Quantification of intranodal vascularity by computer pixel-counting method enhances the accuracy of ultrasound in distinguishing metastatic and tuberculous cervical lymph nodes

Cheng

Ahuja

Ying

2019

Quant. Imaging Med. Surg.

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Background: Ultrasound is a common imaging method for assessment of cervical lymph nodes. However, metastatic and tuberculous lymph nodes have similar sonographic features in routine ultrasound examination.Computer-aided assessment could be a potential adjunct to enhance the accuracy of differential diagnosis.Methods: Gray-scale and power Doppler sonograms of 100 patients with palpable cervical lymph nodes were reviewed and analyzed (60 metastatic nodes, 40 tuberculous nodes). Final diagnosis of lymph nodes was based on fine needle aspiration and cytology. Sonograms were reviewed and assessed for nodal shape, echogenic hilus, intranodal necrosis and vascular distribution (conventional assessment). Intranodal vascularity was quantified using a customized computer algorithm to determine vascularity index (VI). The diagnostic accuracy of using conventional assessment and its combination with intranodal VI method was evaluated and compared.Results: Metastatic and tuberculous nodes tended to be round (75.0% vs. 50.0%), without echogenic hilus (86.7% vs. 72.5%) and have peripheral vascularity (73.3% vs. 85.0%). Intranodal necrosis is more common in tuberculous nodes (27.5%) than metastatic nodes (8.3%). Using conventional assessment in differentiating metastatic and tuberculous nodes, the diagnostic accuracy was 56% with a sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 56.7%, 55%, 65.4% and 45.8% respectively.The VI of metastatic nodes (23.4%±2.1%) was significantly higher than that of tuberculous nodes (12.0%±1.6%) (P<0.05). The optimum cut-off of VI for the differential diagnosis was 20%. By combining conventional assessment and intranodal VI quantification, the diagnostic accuracy was increased to 69% with a sensitivity, specificity, PPV and NPV of 80%, 52.5%, 71.6%, 63.6% respectively. The increase in sensitivity was statistically significant (P=0.006).Conclusions: Computer-aided quantification of intranodal vascularity provides added value in routine ultrasound assessment of cervical lymph nodes. It enhances the accuracy of ultrasound in distinguishing metastatic and tuberculous cervical lymph nodes.

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“…Due to the signal sensitivity to noise in small vessels and the sensitivity to the motion of tissue, accurate extraction of complex vasculature using power Doppler is challenging. In most of the studies using power Doppler, blood vessels are usually segmented by thresholding [3][4][5] . However, the unavoidable noise during imaging means using just a simple thresholding method may not be robust enough.…”

Section: Introductionmentioning

confidence: 99%

Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan

Yin

Looney

Collins

2020

Medical Imaging 2020: Computer-Aided Diagnosis

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Power Doppler ultrasound imaging provides a non-invasive method to explore tissue vascularity in real-time. It has farreaching clinical utility, for example to assess the perfusion of organs such as the placenta. In this study, a fully automated method was proposed to standardize the power Doppler signals in the placental bed to estimate the perfusion by a technique known as fractional moving blood volume (FMBV). The uterine vasculature was extracted by a region growing algorithm from 3D power Doppler scan and further localized based on the placenta segmentation obtained by a multi-class fully Convolution Neural Network (CNN). The largest vessel close to the volume of interest (VOI) in placenta was identified within which the average power Doppler signal was used as a standardization value to correct the signal attenuation in placenta bed to estimate the FMBV measurement. This is the first successful attempt to automatically identify individual blood vessel segments from a complex uterine vascular plexus. The proposed method was performed in twenty 3D power Doppler scans of first trimester placenta with promising results. The mean ± STD FMBV value was 21.35% ± 9.43%. With further analysis and evaluation in large dataset, the proposed method will serve as an efficient tool for assessing the blood perfusion in placenta bed.

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Effectiveness of evaluating tumor vascularization using 3D power Doppler ultrasound with high-definition flow technology in the prediction of the response to neoadjuvant chemotherapy for T2 breast cancer: a preliminary report

Abstract: Institute of Physics and Engineering in MedicineContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.

Cited by 13 publications

References 28 publications

Using Flow Characteristics in Three-Dimensional Power Doppler Ultrasound Imaging to Predict Complete Responses in Patients Undergoing Neoadjuvant Chemotherapy

Using Flow Characteristics in Three-Dimensional Power Doppler Ultrasound Imaging to Predict Complete Responses in Patients Undergoing Neoadjuvant Chemotherapy

Quantification of intranodal vascularity by computer pixel-counting method enhances the accuracy of ultrasound in distinguishing metastatic and tuberculous cervical lymph nodes

Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan

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