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Oncology Reports
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Print ISSN: 1021-335X Online ISSN: 1791-2431
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2014-April Volume 31 Issue 4

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Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

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Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

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Article Open Access

Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography

  • Authors:
    • Hitomi Iwasa
    • Kei Kubota
    • Norihiko Hamada
    • Munenobu Nogami
    • Akihito Nishioka
  • View Affiliations / Copyright

    Affiliations: Department of Radiology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505, Japan
    Copyright: © Iwasa et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 3.0].
  • Pages: 1555-1560
    |
    Published online on: February 18, 2014
       https://doi.org/10.3892/or.2014.3025
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Abstract

Neoadjuvant chemotherapy (NACT) is a widely accepted therapeutic option for patients with breast cancer. Although NACT produces good results for breast cancer patients, it has the potential to delay effective treatment in patients with chemotherapy-resistant breast cancer. The purpose of the present study was to evaluate the utility of the pretreatment apparent diffusion coefficient (ADC), which is calculated from diffusion-weighted imaging (DWI), the change in ADC after first administration of NACT, and the change in tumor greatest diameter on ultrasonography in the early prediction of the tumor response to NACT. The response rate of breast tumors to NACT was calculated by the greatest diameter measured by contrast-enhanced MRI obtained before and after NACT. Only the change in ADC was significantly correlated with the response rate. The area under the curve of the change in ADC was sufficiently high (0.90, 95% confidence interval, 0.760-1.040) to discriminate between responders and non-responders. Calculation of the ADC from DWI-MRI was found to be useful for predicting breast tumor response to NACT. Further studies are required to investigate the benefit of changing systemic therapy for breast cancer based on the prediction of the response to NACT by DWI-MRI.

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Copy and paste a formatted citation
Spandidos Publications style
Iwasa H, Kubota K, Hamada N, Nogami M and Nishioka A: Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography. Oncol Rep 31: 1555-1560, 2014.
APA
Iwasa, H., Kubota, K., Hamada, N., Nogami, M., & Nishioka, A. (2014). Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography. Oncology Reports, 31, 1555-1560. https://doi.org/10.3892/or.2014.3025
MLA
Iwasa, H., Kubota, K., Hamada, N., Nogami, M., Nishioka, A."Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography". Oncology Reports 31.4 (2014): 1555-1560.
Chicago
Iwasa, H., Kubota, K., Hamada, N., Nogami, M., Nishioka, A."Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography". Oncology Reports 31, no. 4 (2014): 1555-1560. https://doi.org/10.3892/or.2014.3025
Copy and paste a formatted citation
x
Spandidos Publications style
Iwasa H, Kubota K, Hamada N, Nogami M and Nishioka A: Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography. Oncol Rep 31: 1555-1560, 2014.
APA
Iwasa, H., Kubota, K., Hamada, N., Nogami, M., & Nishioka, A. (2014). Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography. Oncology Reports, 31, 1555-1560. https://doi.org/10.3892/or.2014.3025
MLA
Iwasa, H., Kubota, K., Hamada, N., Nogami, M., Nishioka, A."Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography". Oncology Reports 31.4 (2014): 1555-1560.
Chicago
Iwasa, H., Kubota, K., Hamada, N., Nogami, M., Nishioka, A."Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography". Oncology Reports 31, no. 4 (2014): 1555-1560. https://doi.org/10.3892/or.2014.3025
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