Tags

Type your tag names separated by a space and hit enter

Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging.
Eur Radiol. 2018 Mar; 28(3):1000-1008.ER

Abstract

OBJECTIVES

To compare automated breast volume scanner (ABVS), ultrasound (US) and MRI in measuring breast cancer size, and evaluate the agreement between ABVS and US in assessing lesion location and sonographic features.

METHODS

We retrospectively included 98 women with 100 index cancers who had undergone US and ABVS followed by 1.5T MRI. Images were interpreted by a pool of readers reporting lesion size, location and breast imaging reporting and data system (BI-RADS) features. Bland-Altman analysis (with logarithmic data transformation), intraclass correlation coefficient (ICC) and Cohen's kappa statistic were used for statistical analysis.

RESULTS

MRI showed the best absolute agreement with histology in measuring cancer size (ICC 0.93), with LOA comparable to those of ABVS (0.63-1.99 vs. 0.52-1.73, respectively). Though ABVS and US had highly concordant measurements (ICC 0.95), ABVS showed better agreement with histology (LOA 0.52-1.73 vs. 0.45-1.86, respectively), corresponding to a higher ICC (0.85 vs. 0.75, respectively). Except for posterior features (k=0.39), the agreement between US and ABVS in attributing site and BI-RADS features ranged from substantial to almost perfect (k=0.68-0.85).

CONCLUSIONS

ABVS performs better than US and approaches MRI in predicting breast cancer size. ABVS performs comparably to US in sonographic assessment of lesions.

KEY POINTS

• ABVS approaches MRI in predicting breast cancer size. • ABVS is equivalent to US in localising and characterising breast cancer. • ABVS is more accurate than US in assessing breast cancer size. • ABVS has the potential to replace US in breast cancer staging.

Authors+Show Affiliations

Institute of Radiology, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Integrata di Udine, p.le S. Maria della Misericordia 15, 33100, Udine, Italy.Institute of Radiology, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Integrata di Udine, p.le S. Maria della Misericordia 15, 33100, Udine, Italy. martina.zanotel@gmail.com.Institute of Radiology, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Integrata di Udine, p.le S. Maria della Misericordia 15, 33100, Udine, Italy.Institute of Radiology, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Integrata di Udine, p.le S. Maria della Misericordia 15, 33100, Udine, Italy.Institute of Radiology, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Integrata di Udine, p.le S. Maria della Misericordia 15, 33100, Udine, Italy.Institute of Radiology, Department of Medicine, University of Udine, Azienda Sanitaria Universitaria Integrata di Udine, p.le S. Maria della Misericordia 15, 33100, Udine, Italy.

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

29018952

Citation

Girometti, Rossano, et al. "Automated Breast Volume Scanner (ABVS) in Assessing Breast Cancer Size: a Comparison With Conventional Ultrasound and Magnetic Resonance Imaging." European Radiology, vol. 28, no. 3, 2018, pp. 1000-1008.
Girometti R, Zanotel M, Londero V, et al. Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging. Eur Radiol. 2018;28(3):1000-1008.
Girometti, R., Zanotel, M., Londero, V., Linda, A., Lorenzon, M., & Zuiani, C. (2018). Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging. European Radiology, 28(3), 1000-1008. https://doi.org/10.1007/s00330-017-5074-7
Girometti R, et al. Automated Breast Volume Scanner (ABVS) in Assessing Breast Cancer Size: a Comparison With Conventional Ultrasound and Magnetic Resonance Imaging. Eur Radiol. 2018;28(3):1000-1008. PubMed PMID: 29018952.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging. AU - Girometti,Rossano, AU - Zanotel,Martina, AU - Londero,Viviana, AU - Linda,Anna, AU - Lorenzon,Michele, AU - Zuiani,Chiara, Y1 - 2017/10/10/ PY - 2017/05/10/received PY - 2017/09/12/accepted PY - 2017/08/18/revised PY - 2017/10/12/pubmed PY - 2018/7/26/medline PY - 2017/10/12/entrez KW - Automated breast volume scanner KW - Breast cancer KW - Breast cancer size KW - Magnetic resonance imaging KW - Ultrasonography SP - 1000 EP - 1008 JF - European radiology JO - Eur Radiol VL - 28 IS - 3 N2 - OBJECTIVES: To compare automated breast volume scanner (ABVS), ultrasound (US) and MRI in measuring breast cancer size, and evaluate the agreement between ABVS and US in assessing lesion location and sonographic features. METHODS: We retrospectively included 98 women with 100 index cancers who had undergone US and ABVS followed by 1.5T MRI. Images were interpreted by a pool of readers reporting lesion size, location and breast imaging reporting and data system (BI-RADS) features. Bland-Altman analysis (with logarithmic data transformation), intraclass correlation coefficient (ICC) and Cohen's kappa statistic were used for statistical analysis. RESULTS: MRI showed the best absolute agreement with histology in measuring cancer size (ICC 0.93), with LOA comparable to those of ABVS (0.63-1.99 vs. 0.52-1.73, respectively). Though ABVS and US had highly concordant measurements (ICC 0.95), ABVS showed better agreement with histology (LOA 0.52-1.73 vs. 0.45-1.86, respectively), corresponding to a higher ICC (0.85 vs. 0.75, respectively). Except for posterior features (k=0.39), the agreement between US and ABVS in attributing site and BI-RADS features ranged from substantial to almost perfect (k=0.68-0.85). CONCLUSIONS: ABVS performs better than US and approaches MRI in predicting breast cancer size. ABVS performs comparably to US in sonographic assessment of lesions. KEY POINTS: • ABVS approaches MRI in predicting breast cancer size. • ABVS is equivalent to US in localising and characterising breast cancer. • ABVS is more accurate than US in assessing breast cancer size. • ABVS has the potential to replace US in breast cancer staging. SN - 1432-1084 UR - https://www.unboundmedicine.com/medline/citation/29018952/Automated_breast_volume_scanner__ABVS__in_assessing_breast_cancer_size:_A_comparison_with_conventional_ultrasound_and_magnetic_resonance_imaging_ L2 - https://dx.doi.org/10.1007/s00330-017-5074-7 DB - PRIME DP - Unbound Medicine ER -