Color Doppler ultrasonography for treatment response prediction and evaluation in breast cancer

2010 ◽  
Vol 6 (8) ◽  
pp. 1265-1278 ◽  
Author(s):  
Anand Kumar ◽  
Vivek Srivastava ◽  
Seema Singh ◽  
Ram Chandra Shukla
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Doppler Ultrasonography ◽  
Color Doppler ◽  
Response Prediction ◽  
Color Doppler Ultrasonography ◽  
Treatment Response Prediction

scholarly journals Clinical Significance and Ultrasonographic Analysis of Color Doppler Ultrasonography in Breast Cancer

1970 ◽  
Vol 1 (2) ◽  
Author(s):  
Shangxin Yang
Keyword(s):  
Breast Cancer ◽  
Doppler Ultrasonography ◽  
Color Doppler ◽  
High Accuracy ◽  
Color Doppler Ultrasonography ◽  
Breast Cancer Patients ◽  
Accuracy Rate ◽  
Clinical Value ◽  
Object A ◽  
Treatment Data

Objective: To explore the clinical value of color Doppler ultrasonography in the diagnosis of breast cancer. Methods: 99 cases of breast cancer patients were selected as the research object, retrospective analysis of its clinical treatment data. Results: The group of 99 patients, 97 confirmed cases, 2 cases were misdiagnosed, the diagnostic accuracy rate was 97.98%. Conclusion: Color Doppler ultrasonography in patients with breast cancer has the advantages of high accuracy, simple operation and noninvasive. It is worthy of promotion.

scholarly journals Advances in Clinical Application of Postoperative Radiotherapy for Breast Cancer

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Shentian Wu
Keyword(s):  
Breast Cancer ◽  
Doppler Ultrasonography ◽  
Postoperative Radiotherapy ◽  
Color Doppler ◽  
Color Doppler Ultrasonography ◽  
Breast Cancer Patients ◽  
Accuracy Rate ◽  
Clinical Value ◽  
Object A ◽  
Treatment Data

Objective: To explore the clinical value of color Doppler ultrasonography in the diagnosis of breast cancer. Methods: 99 cases of breast cancer patients were selected as the research object, retrospective analysis of its clinical treatment data. Results: The group of 99 patients, 97 confirmed cases, 2 cases were misdiagnosed, the diagnostic accuracy rate was 97.98%. Conclusion: Color Doppler ultrasonography in patients with breast cancer has the advantages of high accuracy, simple operation and noninvasive. It is worthy of promotion.

scholarly journals Contrast-Enhanced Color Doppler Ultrasonography for Preoperative Evaluation of Sentinel Lymph Node in Breast Cancer Patients

Breast Care ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. 331-335 ◽  
Author(s):  
Dionysios Dellaportas ◽  
Andreas Koureas ◽  
John Contis ◽  
Panagis M. Lykoudis ◽  
Irene Vraka ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Cancer Patients ◽  
Doppler Ultrasonography ◽  
Color Doppler ◽  
Color Doppler Ultrasonography ◽  
Contrast Enhanced Ultrasound ◽  
Breast Cancer Patients ◽  
Contrast Enhanced

Background: Sentinel lymph node (SLN) biopsy is the standard of care for breast cancer patients with non-palpable axillary lymph nodes. We evaluated the usefulness of contrast-enhanced ultrasonography in preoperative detection of malignant SLNs. Methods: 50 patients with breast cancer (median age: 60 years) underwent a color power Doppler ultrasonography with intravenous contrast (Sonovue®) preoperatively, and findings suggestive of metastatic disease to the SLN were documented. The final histopathological report and the radiological preoperative record were compared. Finally, the sensitivity, specificity and diagnostic accuracy of this evolving diagnostic modality were calculated. Results: Contrast-enhanced ultrasound scan identified a negative SLN in the axilla of 27 patients and final histopathology was negative for 30 cases in total, so negative predictive value was calculated as 90% and positive predictive value was 75%. Overall sensitivity was 83.33% and specificity was 84.38%. Moreover, the ability of contrast-enhanced ultrasound to differentiate between SLN status was only statistically significantly correlated with the actual final histopathological report (p < 0.001), while successful ultrasound prediction was not correlated with any factor. Conclusions: SLN status can be evaluated preoperatively using contrast-enhanced color Doppler ultrasonography with high accuracy.

Color Doppler Ultrasonography Evaluation for Chemotherapy Treatment Response of Osteogenic Sarcoma

2012 ◽  
Vol 38 (2) ◽  
pp. 202-208
Author(s):  
Yen-Huai Lin ◽  
Hong-Jen Chiou ◽  
Wei-Ming Chen ◽  
Chueh-Chuan Yen ◽  
Yi-Hong Chou ◽  
...  
Keyword(s):  
Treatment Response ◽  
Doppler Ultrasonography ◽  
Color Doppler ◽  
Osteogenic Sarcoma ◽  
Color Doppler Ultrasonography ◽  
Chemotherapy Treatment

scholarly journals Radiomics, deep learning and early diagnosis in oncology

2021 ◽  
Author(s):  
Peng Wei
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Medical Imaging ◽  
Early Detection ◽  
Treatment Response ◽  
Critical Role ◽  
Response Prediction ◽  
Computational Implementation ◽  
Magnetic Resonance Imaging Mri ◽  
Treatment Response Prediction

Medical imaging, including X-ray, computed tomography (CT), and magnetic resonance imaging (MRI), plays a critical role in early detection, diagnosis, and treatment response prediction of cancer. To ease radiologists’ task and help with challenging cases, computer-aided diagnosis has been developing rapidly in the past decade, pioneered by radiomics early on, and more recently, driven by deep learning. In this mini-review, I use breast cancer as an example and review how medical imaging and its quantitative modeling, including radiomics and deep learning, have improved the early detection and treatment response prediction of breast cancer. I also outline what radiomics and deep learning share in common and how they differ in terms of modeling procedure, sample size requirement, and computational implementation. Finally, I discuss the challenges and efforts entailed to integrate deep learning models and software in clinical practice.

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