Literature DB >> 32221708

MRI-guided vacuum-assisted breast biopsy: experience of a single tertiary referral cancer centre and prospects for the future.

Silvia Penco1, Anna Rotili1, Filippo Pesapane2, Chiara Trentin1, Valeria Dominelli1, Angela Faggian3, Mariagiorgia Farina1, Irene Marinucci1, Anna Bozzini1, Maria Pizzamiglio1, Anna Maria Ierardi4, Enrico Cassano1.   

Abstract

MRI-guided vacuum-assisted breast biopsy (VABB) is used for suspicious breast cancer (BC) lesions which are detectable only with MRI: because the high sensitivity but limited specificity of breast MRI it is a fundamental tool in breast imaging divisions. We analyse our experience of MRI-guided VABB and critically discuss the potentialities of diffusion-weighted imaging (DWI) and artificial intelligence (AI) in this matter. We retrospectively analysed a population of consecutive women underwent VABB at our tertiary referral BC centre from 01/2011 to 01/2019. Reference standard was histological diagnosis or at least 1-year negative follow-up. McNemar, Mann-Whitney and χ2 tests at 95% level of significance were used as statistical exams. 217 women (mean age = 52, 18-72 years) underwent MRI-guided VABB; 11 were excluded and 208 MRI-guided VABB lesions were performed: 34/208 invasive carcinomas, 32/208 DCIS, 8/208 LCIS, 3/208 high-risk lesions and 131/208 benign lesions were reported. Accuracy of MRI-guided VABB was 97%. The predictive features for malignancy were mass with irregular shape (OR 8.4; 95% CI 0.59-31.6), size of the lesion (OR 4.4; 95% CI 1.69-9.7) and mass with irregular/spiculated margins (OR 5.4; 95% CI 6.8-31.1). Six-month follow-up showed 4 false-negative cases (1.9%). Invasive BC showed a statistically significant higher hyperintense signal at DWI compared to benign lesions (p = 0.03). No major complications occurred. MR-guided VABB showed high accuracy. Benign-concordant lesions should be followed up with breast MRI in 6-12 months due to the risk of false-negative results. DWI and AI applications showed potential benefit as support tools for radiologists.

Entities:  

Keywords:  Artificial intelligence; Breast MRI; Breast cancer; Breast imaging; Diffusion-weighted imaging; Oncology; Radiology; Vacuum-assisted breast biopsy

Year:  2020        PMID: 32221708     DOI: 10.1007/s12032-020-01358-w

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  49 in total

Review 1.  Percutaneous image-guided core breast biopsy.

Authors:  Laura Liberman
Journal:  Radiol Clin North Am       Date:  2002-05       Impact factor: 2.303

Review 2.  The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice.

Authors:  Christiane Kuhl
Journal:  Radiology       Date:  2007-08       Impact factor: 11.105

3.  Machine Learning in Radiology: Applications Beyond Image Interpretation.

Authors:  Paras Lakhani; Adam B Prater; R Kent Hutson; Kathy P Andriole; Keith J Dreyer; Jose Morey; Luciano M Prevedello; Toshi J Clark; J Raymond Geis; Jason N Itri; C Matthew Hawkins
Journal:  J Am Coll Radiol       Date:  2017-11-17       Impact factor: 5.532

4.  ESMRMB Round Table report on "Can Europe Lead in Machine Learning of MRI-Data?"

Authors:  Francesca B Pizzini; Filippo Pesapane; Wiro Niessen; Liesbeth Geerts-Ossevoort; Nils Broeckx
Journal:  MAGMA       Date:  2020-04       Impact factor: 2.310

5.  Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection.

Authors:  Anna Rotili; Rubina Manuela Trimboli; Silvia Penco; Filippo Pesapane; Priyan Tantrige; Enrico Cassano; Francesco Sardanelli
Journal:  Breast Cancer Res Treat       Date:  2020-01-14       Impact factor: 4.872

6.  Cancellation of MR imaging-guided breast biopsy due to lesion nonvisualization: frequency and follow-up.

Authors:  Sandra B Brennan; Janice S Sung; D David Dershaw; Laura Liberman; Elizabeth A Morris
Journal:  Radiology       Date:  2011-08-18       Impact factor: 11.105

7.  Assessment of tumor morphology on diffusion-weighted (DWI) breast MRI: Diagnostic value of reduced field of view DWI.

Authors:  Maarten W Barentsz; Valentina Taviani; Jung M Chang; Debra M Ikeda; Kanae K Miyake; Suchandrima Banerjee; Maurice A A J van den Bosch; Brian A Hargreaves; Bruce L Daniel
Journal:  J Magn Reson Imaging       Date:  2015-04-24       Impact factor: 4.813

8.  MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies.

Authors:  Claudio Spick; Katja Pinker-Domenig; Margaretha Rudas; Thomas H Helbich; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2014-04-05       Impact factor: 5.315

Review 9.  Breast MRI: EUSOBI recommendations for women's information.

Authors:  Ritse M Mann; Corinne Balleyguier; Pascal A Baltzer; Ulrich Bick; Catherine Colin; Eleanor Cornford; Andrew Evans; Eva Fallenberg; Gabor Forrai; Michael H Fuchsjäger; Fiona J Gilbert; Thomas H Helbich; Sylvia H Heywang-Köbrunner; Julia Camps-Herrero; Christiane K Kuhl; Laura Martincich; Federica Pediconi; Pietro Panizza; Luis J Pina; Ruud M Pijnappel; Katja Pinker-Domenig; Per Skaane; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2015-05-23       Impact factor: 5.315

10.  MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience.

Authors:  Claudio Spick; Melanie Schernthaner; Katja Pinker; Panagiotis Kapetas; Maria Bernathova; Stephan H Polanec; Hubert Bickel; Georg J Wengert; Margaretha Rudas; Thomas H Helbich; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2016-03-16       Impact factor: 5.315

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  3 in total

Review 1.  Imaging diagnosis of metastatic breast cancer.

Authors:  Filippo Pesapane; Kate Downey; Anna Rotili; Enrico Cassano; Dow-Mu Koh
Journal:  Insights Imaging       Date:  2020-06-16

2.  How we provided appropriate breast imaging practices in the epicentre of the COVID-19 outbreak in Italy.

Authors:  Filippo Pesapane; Silvia Penco; Anna Rotili; Luca Nicosia; Anna Bozzini; Chiara Trentin; Valeria Dominelli; Francesca Priolo; Mariagiorgia Farina; Irene Marinucci; Stefano Meroni; Francesca Abbate; Lorenza Meneghetti; Antuono Latronico; Maria Pizzamiglio; Enrico Cassano
Journal:  Br J Radiol       Date:  2020-09-02       Impact factor: 3.039

3.  Reconsidering the therapeutic use for vacuum-assisted breast biopsy in breast cancer patients: a retrospective single-center study.

Authors:  Jialin Zhao; Xuejing Wang; Ying Xu; Li Peng; Qiang Sun
Journal:  Transl Cancer Res       Date:  2020-06       Impact factor: 1.241

  3 in total

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