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Published in: Annals of Surgical Oncology 12/2015

01-11-2015 | Breast Oncology

Comparison of the Diagnostic Accuracy of Magnetic Resonance Imaging with Sonography in the Prediction of Breast Cancer Tumor Size: A Concordance Analysis with Histopathologically Determined Tumor Size

Authors: Hung-Wen Lai, MD, PhD, Dar-Ren Chen, MD, Yao-Chung Wu, MD, Chih-Jung Chen, MD, PhD, Chih-Wei Lee, MD, Shou-Jen Kuo, MD, Shou-Tung Chen, MD, Hwa-Koon Wu, MD

Published in: Annals of Surgical Oncology | Issue 12/2015

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Abstract

Background

In order to effectively treat patients with breast cancer, it is important to know the precise tumor size. We compared the rates of concordance of magnetic resonance imaging (MRI)-derived and sonography-derived breast cancer tumor size with histopathologically determined tumor size.

Methods

Accuracy of MRI and sonography in establishing tumor size was evaluated by comparing preoperative images with postoperative pathologic findings. The accuracy of MRI and sonography was graded as concordance, underestimation, or overestimation and was compared in different subgroups.

Results

A total of 682 patients comprised the study cohort. Mean tumor size was 3.64 ± 1.8 cm via MRI, 2.12 ± 1.0 cm via sonography, and 2.78 ± 1.7 cm via pathologic examination. The difference between breast sonography and MRI to pathologic tumor field size was −0.68 ± 1.4, and 0.85 ± 1.25 cm, respectively (P < 0.001). Sonography had a concordance rate of 54.3 %, an overestimated rate of 9.8 %, and an underestimated rate of 35.9 %. For MRI, the concordance rate was 44.1 %, the overestimated rate was 52.5 %, and the underestimated rate was 3.4 %. In subgroup analysis, breast MRI had a higher concordance rate in patients with T3 (>5 cm) lesions. When the results of MRI and sonography were considered together, the concordance rate increased from 54.3 to 62.2 %.

Conclusion

MRI tends to overestimate the actual tumor size, while sonography frequently underestimates it. Combined sonography and MRI increases the accuracy of tumor size prediction.
Literature
1.
go back to reference Grimsby GM, Gray R, Dueck A, et al. Is there concordance of invasive breast cancer pathologic tumor size with magnetic resonance imaging? Am J Surg. 2009;198:500–4.CrossRefPubMed Grimsby GM, Gray R, Dueck A, et al. Is there concordance of invasive breast cancer pathologic tumor size with magnetic resonance imaging? Am J Surg. 2009;198:500–4.CrossRefPubMed
2.
go back to reference Gruber IV, Rueckert M, Kagan KO, et al. Measurement of tumour size with mammography, sonography and magnetic resonance imaging as compared to histological tumour size in primary breast cancer. BMC Cancer. 2013;13:328.PubMedCentralCrossRefPubMed Gruber IV, Rueckert M, Kagan KO, et al. Measurement of tumour size with mammography, sonography and magnetic resonance imaging as compared to histological tumour size in primary breast cancer. BMC Cancer. 2013;13:328.PubMedCentralCrossRefPubMed
3.
go back to reference Kuroki Y, Nawano S, Hasebe T, et al. Efficacy of MR mammography (MRM) in providing preoperative locoregional information on breast cancer: correlation between MRM and histological findings. Magn Reson Med Sci. 2002;1:73–80.CrossRefPubMed Kuroki Y, Nawano S, Hasebe T, et al. Efficacy of MR mammography (MRM) in providing preoperative locoregional information on breast cancer: correlation between MRM and histological findings. Magn Reson Med Sci. 2002;1:73–80.CrossRefPubMed
4.
go back to reference Onesti JK, Mangus BE, Helmer SD, Osland JS. Breast cancer tumor size: correlation between magnetic resonance imaging and pathology measurements. Am J Surg. 2008;196:844–8.CrossRefPubMed Onesti JK, Mangus BE, Helmer SD, Osland JS. Breast cancer tumor size: correlation between magnetic resonance imaging and pathology measurements. Am J Surg. 2008;196:844–8.CrossRefPubMed
5.
go back to reference Luparia A, Mariscotti G, Durando M, et al. Accuracy of tumour size assessment in the preoperative staging of breast cancer: comparison of digital mammography, tomosynthesis, ultrasound and MRI. Radiol Med. 2013;118:1119–36.CrossRefPubMed Luparia A, Mariscotti G, Durando M, et al. Accuracy of tumour size assessment in the preoperative staging of breast cancer: comparison of digital mammography, tomosynthesis, ultrasound and MRI. Radiol Med. 2013;118:1119–36.CrossRefPubMed
6.
go back to reference Wasif N, Garreau J, Terando A, et al. MRI versus ultrasonography and mammography for preoperative assessment of breast cancer. Am Surg. 2009;75:970–5.PubMed Wasif N, Garreau J, Terando A, et al. MRI versus ultrasonography and mammography for preoperative assessment of breast cancer. Am Surg. 2009;75:970–5.PubMed
7.
go back to reference Bosch AM, Kessels AG, Beets GL, et al. Preoperative estimation of the pathological breast tumour size by physical examination, mammography and ultrasound: a prospective study on 105 invasive tumours. Eur J Radiol. 2003;48:285–92.CrossRefPubMed Bosch AM, Kessels AG, Beets GL, et al. Preoperative estimation of the pathological breast tumour size by physical examination, mammography and ultrasound: a prospective study on 105 invasive tumours. Eur J Radiol. 2003;48:285–92.CrossRefPubMed
8.
go back to reference Goldhirsch A, Wood WC, Coates AS, et al. Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer, 2011. Ann Oncol. 2011;22:1736–47.PubMedCentralCrossRefPubMed Goldhirsch A, Wood WC, Coates AS, et al. Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer, 2011. Ann Oncol. 2011;22:1736–47.PubMedCentralCrossRefPubMed
9.
go back to reference Goldhirsch A, Winer EP, Coates AS, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol. 2013;24:2206–23.PubMedCentralCrossRefPubMed Goldhirsch A, Winer EP, Coates AS, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol. 2013;24:2206–23.PubMedCentralCrossRefPubMed
10.
go back to reference American College of Radiology. Breast imaging reporting and data system atlas (BI-RADS atlas). 4th edition. Reston VA: American College of Radiology; 2003. American College of Radiology. Breast imaging reporting and data system atlas (BI-RADS atlas). 4th edition. Reston VA: American College of Radiology; 2003.
11.
go back to reference Shen YC, Chang CJ, Hsu C, et al. Significant difference in the trends of female breast cancer incidence between Taiwanese and Caucasian Americans: implications from age-period-cohort analysis. Cancer Epidemiol Biomarkers Prev. 2005;14:1986–90.CrossRefPubMed Shen YC, Chang CJ, Hsu C, et al. Significant difference in the trends of female breast cancer incidence between Taiwanese and Caucasian Americans: implications from age-period-cohort analysis. Cancer Epidemiol Biomarkers Prev. 2005;14:1986–90.CrossRefPubMed
12.
go back to reference Lee MM, Chang IY, Horng CF, et al. Breast cancer and dietary factors in Taiwanese women. Cancer Causes Control. 2005;16:929–37.CrossRefPubMed Lee MM, Chang IY, Horng CF, et al. Breast cancer and dietary factors in Taiwanese women. Cancer Causes Control. 2005;16:929–37.CrossRefPubMed
13.
go back to reference Kuhl CK, Schrading S, Bieling HB, et al. MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study. Lancet. 2007;370:485–92.CrossRefPubMed Kuhl CK, Schrading S, Bieling HB, et al. MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study. Lancet. 2007;370:485–92.CrossRefPubMed
14.
go back to reference Berg WA, Gutierrez L, NessAiver MS, et al. Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology. 2004;233:830–49.CrossRefPubMed Berg WA, Gutierrez L, NessAiver MS, et al. Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology. 2004;233:830–49.CrossRefPubMed
15.
go back to reference Weinstein SP, Orel SG, Heller R, et al. MR imaging of the breast in patients with invasive lobular carcinoma. Am J Roentgenol. 2001;176:399–406.CrossRefPubMed Weinstein SP, Orel SG, Heller R, et al. MR imaging of the breast in patients with invasive lobular carcinoma. Am J Roentgenol. 2001;176:399–406.CrossRefPubMed
16.
go back to reference Hieken TJ, Harrison J, Herreros J, Velasco JM. Correlating sonography, mammography, and pathology in the assessment of breast cancer size. Am J Surg. 2001;182:351–4. Hieken TJ, Harrison J, Herreros J, Velasco JM. Correlating sonography, mammography, and pathology in the assessment of breast cancer size. Am J Surg. 2001;182:351–4.
17.
go back to reference Bae MS, Seo M, Kim KG, et al. Quantitative MRI morphology of invasive breast cancer: correlation with immunohistochemical biomarkers and subtypes. Acta Radiol. 2014. doi:10.1177/0284185114524197. Bae MS, Seo M, Kim KG, et al. Quantitative MRI morphology of invasive breast cancer: correlation with immunohistochemical biomarkers and subtypes. Acta Radiol. 2014. doi:10.​1177/​0284185114524197​.
18.
go back to reference Kawashima H, Inokuchi M, Furukawa H, et al. Magnetic resonance imaging features of breast cancer according to intrinsic subtypes: correlations with neoadjuvant chemotherapy effects. Springerplus. 2014;3:240.PubMedCentralCrossRefPubMed Kawashima H, Inokuchi M, Furukawa H, et al. Magnetic resonance imaging features of breast cancer according to intrinsic subtypes: correlations with neoadjuvant chemotherapy effects. Springerplus. 2014;3:240.PubMedCentralCrossRefPubMed
19.
go back to reference Nakahara H, Yasuda Y, Machida E, et al. MR and US imaging for breast cancer patients who underwent conservation surgery after neoadjuvant chemotherapy: comparison of triple negative breast cancer and other intrinsic subtypes. Breast Cancer. 2011;18:152–60.CrossRefPubMed Nakahara H, Yasuda Y, Machida E, et al. MR and US imaging for breast cancer patients who underwent conservation surgery after neoadjuvant chemotherapy: comparison of triple negative breast cancer and other intrinsic subtypes. Breast Cancer. 2011;18:152–60.CrossRefPubMed
20.
go back to reference Richard R, Thomassin I, Chapellier M, et al. Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol. 2013;23:2420–31.CrossRefPubMed Richard R, Thomassin I, Chapellier M, et al. Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol. 2013;23:2420–31.CrossRefPubMed
21.
go back to reference Martincich L, Deantoni V, Bertotto I, et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol. 2012;22:1519–28.CrossRefPubMed Martincich L, Deantoni V, Bertotto I, et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol. 2012;22:1519–28.CrossRefPubMed
Metadata
Title
Comparison of the Diagnostic Accuracy of Magnetic Resonance Imaging with Sonography in the Prediction of Breast Cancer Tumor Size: A Concordance Analysis with Histopathologically Determined Tumor Size
Authors
Hung-Wen Lai, MD, PhD
Dar-Ren Chen, MD
Yao-Chung Wu, MD
Chih-Jung Chen, MD, PhD
Chih-Wei Lee, MD
Shou-Jen Kuo, MD
Shou-Tung Chen, MD
Hwa-Koon Wu, MD
Publication date
01-11-2015
Publisher
Springer US
Published in
Annals of Surgical Oncology / Issue 12/2015
Print ISSN: 1068-9265
Electronic ISSN: 1534-4681
DOI
https://doi.org/10.1245/s10434-015-4424-4

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