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Published in: European Radiology 7/2018

01-07-2018 | Breast

Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour

Authors: Soo-Yeon Kim, Nariya Cho, Sung Ui Shin, Han-Byoel Lee, Wonshik Han, In Ae Park, Bo Ra Kwon, Soo Yeon Kim, Su Hyun Lee, Jung Min Chang, Woo Kyung Moon

Published in: European Radiology | Issue 7/2018

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Abstract

Objectives

To retrospectively investigate whether the lesion-to-background parenchymal signal enhancement ratio (SER) on breast MRI can distinguish pathological complete response (pCR) from minimal residual cancer following neoadjuvant chemotherapy (NAT), and compare its performance with the conventional criterion.

Methods

216 breast cancer patients who had undergone NAT and MRI and achieved pCR or minimal residual cancer on surgical histopathology were included. Clinical-pathological features, SER and lesion size on MR images were analysed. Multivariate logistic regression, ROC curve and McNemar’s test were performed.

Results

SER on early-phase MR images was independently associated with pCR (odds ratio [OR], 0.286 [95% CI: 0.113–0.725], p = .008 for Reader 1; OR, 0.306 [95% CI: 0.111–0.841], p = .022 for Reader 2). Compared with the conventional criterion, SER ≤1.6 increased AUC (0.585–0.599 vs. 0.709–0.771, p=.001-.033) and specificity (21.9–27.4% vs. 80.8–86.3%, p <.001) in identifying pCR. SER ≤1.6 and/or size ≤0.2 cm criterion showed the highest specificity of 90.4%.

Conclusion

SER on early-phase MR images was independently associated with pCR, and showed improved AUC and specificity compared to the conventional criterion. The combined criterion of SER and size could be used to select candidates to avoid surgery in a future study.

Key points

Compared with conventional criterion, SER ≤ 1.6 criterion increased AUC and specificity.
Simple measurement of signal intensity could differentiate pCR from minimal residual cancer.
SER ≤1.6 and/or size≤0.2cm criterion showed the highest specificity of 90.4 %.
The combined criterion could be used for a study to avoid surgery.
Literature
1.
go back to reference Rastogi P, Anderson SJ, Bear HD et al (2008) Preoperative chemotherapy: updates of national surgical adjuvant breast and bowel project protocols B-18 and B-27. J Clin Oncol 26:778–785 Rastogi P, Anderson SJ, Bear HD et al (2008) Preoperative chemotherapy: updates of national surgical adjuvant breast and bowel project protocols B-18 and B-27. J Clin Oncol 26:778–785
2.
go back to reference Mieog J, Van der Hage J, Van De Velde C (2007) Neoadjuvant chemotherapy for operable breast cancer. Br J Surg 94:1189–1200CrossRefPubMed Mieog J, Van der Hage J, Van De Velde C (2007) Neoadjuvant chemotherapy for operable breast cancer. Br J Surg 94:1189–1200CrossRefPubMed
3.
go back to reference King TA, Morrow M (2015) Surgical issues in patients with breast cancer receiving neoadjuvant chemotherapy. Nat Rev Clin Oncol 12:335–343CrossRefPubMed King TA, Morrow M (2015) Surgical issues in patients with breast cancer receiving neoadjuvant chemotherapy. Nat Rev Clin Oncol 12:335–343CrossRefPubMed
4.
go back to reference Kong X, Moran MS, Zhang N, Haffty B, Yang Q (2011) Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients. Eur J Cancer 47:2084–2090CrossRefPubMed Kong X, Moran MS, Zhang N, Haffty B, Yang Q (2011) Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients. Eur J Cancer 47:2084–2090CrossRefPubMed
5.
go back to reference Symmans WF, Peintinger F, Hatzis C et al (2007) Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. J Clin Oncol 25:4414–4422 Symmans WF, Peintinger F, Hatzis C et al (2007) Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. J Clin Oncol 25:4414–4422
6.
go back to reference von Minckwitz G, Schneeweiss A, Loibl S et al (2014) Neoadjuvant carboplatin in patients with triple-negative and HER2-positive early breast cancer (GeparSixto; GBG 66): a randomised phase 2 trial. Lancet Oncol 15:747–756 von Minckwitz G, Schneeweiss A, Loibl S et al (2014) Neoadjuvant carboplatin in patients with triple-negative and HER2-positive early breast cancer (GeparSixto; GBG 66): a randomised phase 2 trial. Lancet Oncol 15:747–756
7.
go back to reference Houssami N, Macaskill P, von Minckwitz G, Marinovich ML, Mamounas E (2012) Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy. Eur J Cancer 48:3342–3354CrossRefPubMed Houssami N, Macaskill P, von Minckwitz G, Marinovich ML, Mamounas E (2012) Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy. Eur J Cancer 48:3342–3354CrossRefPubMed
8.
go back to reference van la Parra RF, Kuerer HM (2016) Selective elimination of breast cancer surgery in exceptional responders: historical perspective and current trials. Breast Cancer Res 18:1CrossRef van la Parra RF, Kuerer HM (2016) Selective elimination of breast cancer surgery in exceptional responders: historical perspective and current trials. Breast Cancer Res 18:1CrossRef
9.
go back to reference Heil J, Kümmel S, Schaefgen B et al (2015) Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by minimal invasive biopsy techniques. Br J Cancer 113:1565–1570 Heil J, Kümmel S, Schaefgen B et al (2015) Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by minimal invasive biopsy techniques. Br J Cancer 113:1565–1570
10.
go back to reference Heil J, Schaefgen B, Sinn P et al (2016) Can a pathological complete response of breast cancer after neoadjuvant chemotherapy be diagnosed by minimal invasive biopsy? Eur J Cancer 69:142–150 Heil J, Schaefgen B, Sinn P et al (2016) Can a pathological complete response of breast cancer after neoadjuvant chemotherapy be diagnosed by minimal invasive biopsy? Eur J Cancer 69:142–150
12.
go back to reference Lobbes M, Prevos R, Smidt M et al (2013) The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review. Insights Imaging 4:163–175 Lobbes M, Prevos R, Smidt M et al (2013) The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review. Insights Imaging 4:163–175
13.
go back to reference Marinovich ML, Houssami N, Macaskill P et al (2013) Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy. J Natl Cancer Inst 105:321–333 Marinovich ML, Houssami N, Macaskill P et al (2013) Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy. J Natl Cancer Inst 105:321–333
14.
go back to reference Marinovich ML, Macaskill P, Irwig L et al (2015) Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis. BMC Cancer 15:662 Marinovich ML, Macaskill P, Irwig L et al (2015) Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis. BMC Cancer 15:662
15.
go back to reference Yuan Y, Chen X-S, Liu S-Y, Shen K-W (2010) Accuracy of MRI in prediction of pathologic complete remission in breast cancer after preoperative therapy: a meta-analysis. Am J Roentgenol 195:260–268CrossRef Yuan Y, Chen X-S, Liu S-Y, Shen K-W (2010) Accuracy of MRI in prediction of pathologic complete remission in breast cancer after preoperative therapy: a meta-analysis. Am J Roentgenol 195:260–268CrossRef
16.
go back to reference De Los Santos JF, Cantor A, Amos KD et al (2013) Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Cancer 119:1776–1783 De Los Santos JF, Cantor A, Amos KD et al (2013) Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Cancer 119:1776–1783
17.
go back to reference Schrading S, Kuhl CK (2015) Breast cancer: influence of taxanes on response assessment with dynamic contrast-enhanced MR imaging. Radiology 277:687–696CrossRefPubMed Schrading S, Kuhl CK (2015) Breast cancer: influence of taxanes on response assessment with dynamic contrast-enhanced MR imaging. Radiology 277:687–696CrossRefPubMed
18.
go back to reference Böttcher J, Renz DM, Zahm D-M et al (2014) Response to neoadjuvant treatment of invasive ductal breast carcinomas including outcome evaluation: MRI analysis by an automatic CAD system in comparison to visual evaluation. Acta Oncol 53:759–768 Böttcher J, Renz DM, Zahm D-M et al (2014) Response to neoadjuvant treatment of invasive ductal breast carcinomas including outcome evaluation: MRI analysis by an automatic CAD system in comparison to visual evaluation. Acta Oncol 53:759–768
19.
go back to reference Bouzón A, Acea B, Soler R et al (2016) Diagnostic accuracy of MRI to evaluate tumour response and residual tumour size after neoadjuvant chemotherapy in breast cancer patients. Radiol Oncol 50:73–79 Bouzón A, Acea B, Soler R et al (2016) Diagnostic accuracy of MRI to evaluate tumour response and residual tumour size after neoadjuvant chemotherapy in breast cancer patients. Radiol Oncol 50:73–79
20.
go back to reference Gu Y-L, Pan S-M, Ren J, Yang Z-X, Jiang G-Q (2017) The role of magnetic resonance imaging in detection of pathological complete remission in breast cancer patients treated with neoadjuvant chemotherapy: a meta-analysis. Clin Breast Cancer 17:245–255CrossRefPubMed Gu Y-L, Pan S-M, Ren J, Yang Z-X, Jiang G-Q (2017) The role of magnetic resonance imaging in detection of pathological complete remission in breast cancer patients treated with neoadjuvant chemotherapy: a meta-analysis. Clin Breast Cancer 17:245–255CrossRefPubMed
21.
go back to reference Santamaría G, Bargalló X, Fernández PL, Farrús B, Caparrós X, Velasco M (2017) Neoadjuvant Systemic Therapy in Breast Cancer: Association of Contrast-enhanced MR Imaging Findings, Diffusion-weighted Imaging Findings, and Tumor Subtype with Tumor Response. Radiology 283:663–672CrossRefPubMed Santamaría G, Bargalló X, Fernández PL, Farrús B, Caparrós X, Velasco M (2017) Neoadjuvant Systemic Therapy in Breast Cancer: Association of Contrast-enhanced MR Imaging Findings, Diffusion-weighted Imaging Findings, and Tumor Subtype with Tumor Response. Radiology 283:663–672CrossRefPubMed
22.
go back to reference Breast cancer staging: the 7th edition of the AJCC Cancer Staging Manual. Breast cancer staging: the 7th edition of the AJCC Cancer Staging Manual.
23.
go back to reference Sinn H, Schmid H, Junkermann H et al (1994) Histologische Regression des Mammakarzinoms nach primärer (neoadjuvanter) Chemotherapie. Geburtshilfe Frauenheilkd 54:552–558 Sinn H, Schmid H, Junkermann H et al (1994) Histologische Regression des Mammakarzinoms nach primärer (neoadjuvanter) Chemotherapie. Geburtshilfe Frauenheilkd 54:552–558
24.
go back to reference von Minckwitz G, Untch M, Blohmer J-U et al (2012) Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol 30:1796–1804 von Minckwitz G, Untch M, Blohmer J-U et al (2012) Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol 30:1796–1804
25.
go back to reference Hammond MEH, Hayes DF, Dowsett M et al (2010) American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version). Arch Pathol Lab Med 134:e48–e72 Hammond MEH, Hayes DF, Dowsett M et al (2010) American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version). Arch Pathol Lab Med 134:e48–e72
26.
go back to reference Wolff AC, Hammond MEH, Hicks DG et al (2013) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. Arch Pathol Lab Med 138:241–256 Wolff AC, Hammond MEH, Hicks DG et al (2013) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. Arch Pathol Lab Med 138:241–256
28.
go back to reference DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 837–845 DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 837–845
29.
go back to reference Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. biometrics 159–174 Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. biometrics 159–174
30.
go back to reference Park CC, Mitsumori M, Nixon A et al (2000) Outcome at 8 years after breast-conserving surgery and radiation therapy for invasive breast cancer: influence of margin status and systemic therapy on local recurrence. J Clin Oncol 18:1668–1675 Park CC, Mitsumori M, Nixon A et al (2000) Outcome at 8 years after breast-conserving surgery and radiation therapy for invasive breast cancer: influence of margin status and systemic therapy on local recurrence. J Clin Oncol 18:1668–1675
31.
go back to reference Wasser K, Sinn H, Fink C et al (2003) Accuracy of tumor size measurement in breast cancer using MRI is influenced by histological regression induced by neoadjuvant chemotherapy. Eur Radiol 13:1213–1223 Wasser K, Sinn H, Fink C et al (2003) Accuracy of tumor size measurement in breast cancer using MRI is influenced by histological regression induced by neoadjuvant chemotherapy. Eur Radiol 13:1213–1223
32.
go back to reference Loo CE, Straver ME, Rodenhuis S et al (2011) Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype. J Clin Oncol 29:660–666 Loo CE, Straver ME, Rodenhuis S et al (2011) Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype. J Clin Oncol 29:660–666
33.
go back to reference McGuire KP, Toro-Burguete J, Dang H et al (2011) MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy? Ann Surg Oncol 18:3149–3154 McGuire KP, Toro-Burguete J, Dang H et al (2011) MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy? Ann Surg Oncol 18:3149–3154
34.
go back to reference Hylton NM, Gatsonis CA, Rosen MA et al (2015) Neoadjuvant chemotherapy for breast cancer: functional tumor volume by MR imaging predicts recurrence-free survival—results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL. Radiology 279:44–55 Hylton NM, Gatsonis CA, Rosen MA et al (2015) Neoadjuvant chemotherapy for breast cancer: functional tumor volume by MR imaging predicts recurrence-free survival—results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL. Radiology 279:44–55
Metadata
Title
Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour
Authors
Soo-Yeon Kim
Nariya Cho
Sung Ui Shin
Han-Byoel Lee
Wonshik Han
In Ae Park
Bo Ra Kwon
Soo Yeon Kim
Su Hyun Lee
Jung Min Chang
Woo Kyung Moon
Publication date
01-07-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 7/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5251-8

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