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Japanese Journal of Radiology

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29.12.2017 | Original Article

Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy

verfasst von: Tatsunori Asada, Takayuki Yamada, Yoshihide Kanemaki, Keishi Fujiwara, Satoko Okamoto, Yasuo Nakajima

Erschienen in: Japanese Journal of Radiology | Ausgabe 3/2018

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Abstract

Purpose

To analyze the association of breast non-mass enhancement descriptors in the BI-RADS 5th edition with malignancy, and to establish a grading system and categorization of descriptors.

Materials and methods

This study was approved by our institutional review board. A total of 213 patients were enrolled. Breast MRI was performed with a 1.5-T MRI scanner using a 16-channel breast radiofrequency coil. Two radiologists determined internal enhancement and distribution of non-mass enhancement by consensus. Corresponding pathologic diagnoses were obtained by either biopsy or surgery. The probability of malignancy by descriptor was analyzed using Fisher’s exact test and multivariate logistic regression analysis. The probability of malignancy by category was analyzed using Fisher’s exact and multi-group comparison tests.

Results

One hundred seventy-eight lesions were malignant. Multivariate model analysis showed that internal enhancement (homogeneous vs others, p < 0.001, heterogeneous and clumped vs clustered ring, p = 0.003) and distribution (focal and linear vs segmental, p < 0.001) were the significant explanatory variables. The descriptors were classified into three grades of suspicion, and the categorization (3, 4A, 4B, 4C, and 5) by sum-up grades showed an incremental increase in the probability of malignancy (p < 0.0001).

Conclusion

The three-grade criteria and categorization by sum-up grades of descriptors appear valid for non-mass enhancement.

D’Orsi C, Sickles EA, Mendelson EB, Morris EA. Breast imaging reporting and data system: ACR BI-RADS breast imaging atlas. 5th ed. Virginia: American College of Radiology; 2013.

Sakamoto N, Tozaki M, Higa K, Tsunoda Y, Ogawa T, Abe S, et al. Categorization of non-mass-like breast lesions detected by MRI. Breast Cancer. 2008;15:241–6.CrossRefPubMed

Tozaki M, Igarashi T, Fukuda K. Breast MRI using the VIBE sequence: clustered ring enhancement in the differential diagnosis of lesions showing non-mass-like enhancement. AJR Am J Roentgenol. 2006;187:313–21.CrossRefPubMed

Gutierrez RL, DeMartini WB, Eby PR, Kurland BF, Peacock S, Lehman CD. BI-RADS lesion characteristics predict likelihood of malignancy in breast MRI for masses but not for nonmasslike enhancement. AJR Am J Roentgenol. 2009;193:994–1000.CrossRefPubMed

Mahoney MC, Gatsonis C, Hanna L, DeMartini WB, Lehman C. Positive predictive value of BI-RADS MR imaging. Radiology. 2012;264:51–8.CrossRefPubMedPubMedCentral

Shimauchi A, Ota H, Machida Y, Yoshida T, Satani N, Mori N, et al. Morphology evaluation of nonmass enhancement on breast MRI: effect of a three-step interpretation model for readers’ performances and biopsy recommendations. Eur J Radiol. 2016;85:480–8.CrossRefPubMed

Uematsu T, Kasami M. High-spatial-resolution 3-T breast MRI of nonmasslike enhancement lesions: an analysis of their features as significant predictors of malignancy. AJR Am J Roentgenol. 2012;198:1223–30.CrossRefPubMed

Machida Y, Tozaki M, Shimauchi A, Yoshida T. Two distinct types of linear distribution in nonmass enhancement at breast MR imaging: difference in positive predictive value between linear and branching patterns. Radiology. 2015;276:686–94.CrossRefPubMed

Yuen S, Uematsu T, Masako K, Uchida Y, Nishimura T. Segmental enhancement on breast MR images: differential diagnosis and diagnostic strategy. Eur Radiol. 2008;18:2067–75.CrossRefPubMed

10.

Gity M, Ghazi Moghadam K, Jalali AH, Shakiba M. Association of different MRI BIRADS descriptors with malignancy in non mass-like breast lesions. Iran Red Crescent Med J. 2014;16:e26040.CrossRefPubMedPubMedCentral

11.

Imamura T, Isomoto I, Sueyoshi E, Yano H, Uga T, Abe K, et al. Diagnostic performance of ADC for non-mass-like breast lesions on MR imaging. Magn Reson Med Sci. 2010;9:217–25.CrossRefPubMed

12.

de Almeida JR, Gomes AB, Barros TP, Fahel PE, Rocha Mde S. Predictive performance of BI-RADS magnetic resonance imaging descriptors in the context of suspicious (category 4) findings. Radiol Bras. 2016;49:137–43.CrossRefPubMedPubMedCentral

13.

Cho YH, Cho KR, Park EK, Seo BK, Woo OH, Cho SB, et al. Significance of additional non-mass enhancement in patients with breast cancer on preoperative 3T dynamic contrast enhanced MRI of the breast. Iran J Radiol. 2016;13:e30909.PubMedPubMedCentral

14.

Tozaki M, Fukuma E. 1H MR spectroscopy and diffusion-weighted imaging of the breast: are they useful tools for characterizing breast lesions before biopsy? AJR Am J Roentgenol. 2009;193:840–9.CrossRefPubMed

15.

Weinstein SP, Hanna LG, Gatsonis C, Schnall MD, Rosen MA, Lehman CD. Frequency of malignancy seen in probably benign lesions at contrast-enhanced breast MR imaging: findings from ACRIN 6667. Radiology. 2010;255:731–7.CrossRefPubMedPubMedCentral

16.

Eby PR, Demartini WB, Peacock S, Rosen EL, Lauro B, Lehman CD. Cancer yield of probably benign breast MR examinations. J Magn Reson Imaging. 2007;26:950–5.CrossRefPubMed

17.

Ballesio L, Di Pastena F, Gigli S, D’Ambrosio I, Aceti A, Pontico M, et al. Non mass-like enhancement categories detected by breast MRI and histological findings. Eur Rev Med Pharmacol Sci. 2014;18:910–7.PubMed

18.

Jansen SA, Fan X, Karczmar GS, Abe H, Schmidt RA, Giger M, et al. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys. 2008;35:3102–9.CrossRefPubMedPubMedCentral

19.

Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology. 2007;244:356–78.CrossRefPubMed

Titel: Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy
verfasst von: Tatsunori Asada
Takayuki Yamada
Yoshihide Kanemaki
Keishi Fujiwara
Satoko Okamoto
Yasuo Nakajima
Publikationsdatum: 29.12.2017
Verlag: Springer Japan
Erschienen in: Japanese Journal of Radiology / Ausgabe 3/2018
Print ISSN: 1867-1071
Elektronische ISSN: 1867-108X
DOI: https://doi.org/10.1007/s11604-017-0717-9

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Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy

Abstract

Purpose

Materials and methods

Results

Conclusion

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