MRI-guided vacuum-assisted breast biopsy: experience of a single tertiary referral cancer centre and prospects for the future
| Autor: | Anna Rotili, Angela Faggian, Silvia Penco, Mariagiorgia Farina, Enrico Cassano, Anna Bozzini, Maria Pizzamiglio, Irene Marinucci, Chiara Trentin, Anna Maria Ierardi, Valeria Dominelli, Filippo Pesapane |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Image-Guided Biopsy Breast biopsy Cancer Research medicine.medical_specialty Adolescent Vacuum Breast imaging Population Breast Neoplasms Sensitivity and Specificity Tertiary Care Centers Young Adult 03 medical and health sciences 0302 clinical medicine Breast cancer Artificial Intelligence Humans Medicine Mammography Breast MRI Breast education Aged Retrospective Studies Aged 80 and over education.field_of_study medicine.diagnostic_test business.industry Hematology General Medicine Middle Aged medicine.disease Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Oncology 030220 oncology & carcinogenesis Vacuum-assisted breast biopsy Female Radiology business Breast carcinoma |
| Zdroj: | Medical Oncology. 37 |
| ISSN: | 1559-131X 1357-0560 |
| DOI: | 10.1007/s12032-020-01358-w |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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