Skip to main content
Top
Published in: World Journal of Surgical Oncology 1/2023

Open Access 01-12-2023 | Magnetic Resonance Imaging | Research

Application of triple evaluation method in predicting the efficacy of neoadjuvant therapy for breast cancer

Authors: Xu Han, Hui Li, Sha-Sha Dong, Shui-Ying Zhou, Cai-Hong Wang, Lin Guo, Jie Yang, Gang-Ling Zhang

Published in: World Journal of Surgical Oncology | Issue 1/2023

Login to get access

Abstract

Objective

To analyze the factors related to the efficacy of neoadjuvant therapy for breast cancer and find appropriate evaluation methods for evaluating the efficacy of neoadjuvant therapy

Methods

A total of 143 patients with breast cancer treated by neoadjuvant chemotherapy at Baotou Cancer Hospital were retrospectively analyzed. The chemotherapy regimen was mainly paclitaxel combined with carboplatin for 1 week, docetaxel combined with carboplatin for 3 weeks, and was replaced with epirubicin combined with cyclophosphamide after evaluation of disease progression. All HER2-positive patients were treated with simultaneous targeted therapy, including trastuzumab single-target therapy and trastuzumab combined with pertuzumab double-target therapy. Combined with physical examination, color Doppler ultrasound, and magnetic resonance imaging (MRI), a systematic evaluation system was initially established—the “triple evaluation method.” A baseline evaluation was conducted before treatment. The efficacy was evaluated by physical examination and color Doppler every cycle, and the efficacy was evaluated by physical examination, color Doppler, and MRI every two cycles.

Results

The increase in ultrasonic blood flow after treatment could affect the efficacy of monitoring. The presence of two preoperative time–signal intensity curves is a therapeutically effective protective factor for inflow. The triple evaluation determined by physical examination, color Doppler ultrasound, and MRI in determining clinical efficacy is consistent with the effectiveness of the pathological gold standard.

Conclusion

The therapeutic effect of neoadjuvant therapy can be better evaluated by combining clinical physical examination, color ultrasound, and nuclear magnetic resonance evaluation. The three methods complement each other to avoid the insufficient evaluation of a single method, which is convenient for most prefecty-level hospitals. Additionally, this method is simple, feasible, and suitable for promotion.
Literature
1.
go back to reference Cortazar P, Zhang L, et al. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. [J]. Lancet. 2014;384:164–72.CrossRefPubMed Cortazar P, Zhang L, et al. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. [J]. Lancet. 2014;384:164–72.CrossRefPubMed
3.
go back to reference Chen M, Zhan WW, Han BS, Fei XC, Jin XL, Chai WM, et al. Accuracy of physical examination, ultrasonography, and magnetic resonance imaging in predicting response to neo-adjuvant chemotherapy for breast cancer. Chin Med J. 2012;125(11):1862–6. PMID: 22884043PubMed Chen M, Zhan WW, Han BS, Fei XC, Jin XL, Chai WM, et al. Accuracy of physical examination, ultrasonography, and magnetic resonance imaging in predicting response to neo-adjuvant chemotherapy for breast cancer. Chin Med J. 2012;125(11):1862–6. PMID: 22884043PubMed
4.
go back to reference Kato E, Mori N, Mugikura S, Sato S, Ishida T, Takase K. Value of ultrafast and standard dynamic contrast-enhanced magnetic resonance imaging in the evaluation of the presence and extension of residual disease after neoadjuvant chemotherapy in breast cancer. Jpn J Radiol. 2021;39(8):791–801. https://doi.org/10.1007/s11604-021-01110-y. Epub 2021 Mar 20. PMID: 33743147CrossRefPubMed Kato E, Mori N, Mugikura S, Sato S, Ishida T, Takase K. Value of ultrafast and standard dynamic contrast-enhanced magnetic resonance imaging in the evaluation of the presence and extension of residual disease after neoadjuvant chemotherapy in breast cancer. Jpn J Radiol. 2021;39(8):791–801. https://​doi.​org/​10.​1007/​s11604-021-01110-y. Epub 2021 Mar 20. PMID: 33743147CrossRefPubMed
6.
go back to reference Chen M, Wang DB, Fei XC, Tang L, Zhan WW, Wang WP. Predicting response to neoadjuvant chemotherapy in breast cancer by conventional ultrasound and dynamic contrast-enhanced MRI. Chinese J Ultrasound Med. 2013;29(8):691–3. (Chinese) Chen M, Wang DB, Fei XC, Tang L, Zhan WW, Wang WP. Predicting response to neoadjuvant chemotherapy in breast cancer by conventional ultrasound and dynamic contrast-enhanced MRI. Chinese J Ultrasound Med. 2013;29(8):691–3. (Chinese)
10.
go back to reference Samiei S, de Mooij CM, Lobbes MBI, Keymeulen KBMI, van Nijnatten TJA, Smidt ML. Diagnostic performance of noninvasive imaging for assessment of axillary response after neoadjuvant systemic therapy in clinically node-positive breast cancer: a systematic review and meta-analysis. Ann Surg. 2021;273(4):694–700. https://doi.org/10.1097/SLA.0000000000004356. PMID: 33201095CrossRefPubMed Samiei S, de Mooij CM, Lobbes MBI, Keymeulen KBMI, van Nijnatten TJA, Smidt ML. Diagnostic performance of noninvasive imaging for assessment of axillary response after neoadjuvant systemic therapy in clinically node-positive breast cancer: a systematic review and meta-analysis. Ann Surg. 2021;273(4):694–700. https://​doi.​org/​10.​1097/​SLA.​0000000000004356​. PMID: 33201095CrossRefPubMed
12.
13.
16.
18.
go back to reference Ji Y, Zhao R, Lu H, Liu PF. MRI evaluation of neoadjuvant therapy in breast cancer. Chinese J Radiol. 2021;55(10):1108–12. (Chinese) Ji Y, Zhao R, Lu H, Liu PF. MRI evaluation of neoadjuvant therapy in breast cancer. Chinese J Radiol. 2021;55(10):1108–12. (Chinese)
19.
20.
go back to reference Zhu XL, Wu JL. Application progress of MRI radiomics in the efficacy and prognosis of neoadjuvant chemotherapy for breast cancer. Magn Reson Imaging. 2022;13(3):159–61. (Chinese) Zhu XL, Wu JL. Application progress of MRI radiomics in the efficacy and prognosis of neoadjuvant chemotherapy for breast cancer. Magn Reson Imaging. 2022;13(3):159–61. (Chinese)
21.
go back to reference Lu DM, Wang JM, Liu YL, Yang XP. Progress in the application of different DWI exponential models for breast lesions. Magn Reson Imaging. 2018;9(4):308–11. (Chinese) Lu DM, Wang JM, Liu YL, Yang XP. Progress in the application of different DWI exponential models for breast lesions. Magn Reson Imaging. 2018;9(4):308–11. (Chinese)
23.
go back to reference Kim EJ, Kim SH, Park GE, Kang BJ, Song BJ, Kim YJ, et al. Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma. J Magn Reson Imaging. 2015;42(6):1666–78. https://doi.org/10.1002/jmri.24934. Epub 2015 Apr 27. PMID: 25919239CrossRefPubMed Kim EJ, Kim SH, Park GE, Kang BJ, Song BJ, Kim YJ, et al. Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma. J Magn Reson Imaging. 2015;42(6):1666–78. https://​doi.​org/​10.​1002/​jmri.​24934. Epub 2015 Apr 27. PMID: 25919239CrossRefPubMed
29.
go back to reference Wang Y, Wang CF, Liu XS, Wang L, Du J, Li FH, et al. Value of ultrasonic elasticity score and strain ratio in evaluating breast cancer neoadjuvant chemotherapy. J Clin Ultrasound Med. 2017;19(12):797–801. (Chinese) Wang Y, Wang CF, Liu XS, Wang L, Du J, Li FH, et al. Value of ultrasonic elasticity score and strain ratio in evaluating breast cancer neoadjuvant chemotherapy. J Clin Ultrasound Med. 2017;19(12):797–801. (Chinese)
30.
go back to reference Zhang L, Hao J, Wang LP, Shen WZ, Wang D, Yang YL. Contrast-enhanced ultrasound, color doppler ultrasound and MRI-PWI for evaluating the response of breast cancer to neoadjuvant chemotherapy. J Huazhong Univ Sci Technol (Medical Science). 2014;43(4):449–52. (Chinese) Zhang L, Hao J, Wang LP, Shen WZ, Wang D, Yang YL. Contrast-enhanced ultrasound, color doppler ultrasound and MRI-PWI for evaluating the response of breast cancer to neoadjuvant chemotherapy. J Huazhong Univ Sci Technol (Medical Science). 2014;43(4):449–52. (Chinese)
31.
go back to reference Sedura U, Baiktiar M, Lv XY. Ultrasound study on the effect of chemotherapy in women with breast cancer. Cancer Progression. 2017;15(8):897–9. (Chinese) Sedura U, Baiktiar M, Lv XY. Ultrasound study on the effect of chemotherapy in women with breast cancer. Cancer Progression. 2017;15(8):897–9. (Chinese)
32.
go back to reference Hu ZM, Sun DS, Zhong JY. Role of color Doppler ultrasound in evaluation of breast cancer during neoadjuvant chemotherapy. Chinese J Clin Med Imaging. 2013;24(8):548–50. (Chinese) Hu ZM, Sun DS, Zhong JY. Role of color Doppler ultrasound in evaluation of breast cancer during neoadjuvant chemotherapy. Chinese J Clin Med Imaging. 2013;24(8):548–50. (Chinese)
Metadata
Title
Application of triple evaluation method in predicting the efficacy of neoadjuvant therapy for breast cancer
Authors
Xu Han
Hui Li
Sha-Sha Dong
Shui-Ying Zhou
Cai-Hong Wang
Lin Guo
Jie Yang
Gang-Ling Zhang
Publication date
01-12-2023
Publisher
BioMed Central
Published in
World Journal of Surgical Oncology / Issue 1/2023
Electronic ISSN: 1477-7819
DOI
https://doi.org/10.1186/s12957-023-02998-8

Other articles of this Issue 1/2023

World Journal of Surgical Oncology 1/2023 Go to the issue