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Suman L, D'Ascoli E, Depretto C, Berenghi A, De Berardinis C, Della Pepa G, Irmici G, Ballerini D, Bonanomi A, Ancona E, Scaperrotta GP. Diagnostic performance of MRI-guided vacuum-assisted breast biopsy (VABB): an essential but still underused technique. Breast Cancer Res Treat 2025; 210:417-423. [PMID: 39692819 DOI: 10.1007/s10549-024-07579-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 12/04/2024] [Indexed: 12/19/2024]
Abstract
BACKGROUND Magnetic resonance imaging (MRI)-guided vacuum-assisted breast biopsy (VABB) is an increasingly requested procedure, but it implies training and experience both in its execution and in determining radiological-pathological concordance and is therefore performed in dedicated breast centers. The purpose of this study is to evaluate the diagnostic performance of MRI-guided vacuum-assisted biopsy and to determine the upgrade rate after surgery or follow-up. METHODS We retrospectively evaluated all consecutive patients with suspicious MRI findings without corresponding mammographic and ultrasonographic findings who underwent MRI-guided vacuum-assisted breast biopsy (VABB) at our Institution from November 2020 to March 2023. We determined the sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV) and accuracy of the procedure; we also assessed upgrade rate to malignancies using surgery or at least 1-year negative follow-up as reference standard. Fisher's exact test was used to evaluate the correlation between enhancement size and type (mass/non-mass) and histological outcomes. RESULTS A total of 121 patients with 122 suspicious breast lesions have been included. 29.5% (n = 36) of these lesions were classified as malignant (B5), 23% (n = 28) were lesions with uncertain malignant potential (B3 lesions), and 47.5% (n =58) were benign (B2). Among B5 lesions, 47.22% (n =17) were ductal carcinomas in situ (DCIS) and 52.77% (n = 19) were invasive carcinomas. Among patients with already diagnosed breast cancer (n = 36), MRI-guided VABB identified additional foci of disease in 36.1% (n = 13) of the cases, specifically 10 foci on the same breast and 3 in the contralateral breast. Accuracy of MRI-guided VABB was 96.7%, SE was 90%, SP was 100%, PPV was 100%, and NPV was 95.3%. 4 benign lesions (B2 and B3) were upgraded to B5 lesions after surgery or follow-up; the upgrade rate to malignancies was 3.28%. Fisher's exact test showed a significant association between enhancement size and histological outcomes (OR = 2.38, p = 0.046), while enhancement type was not significantly correlated (OR = 0.88, p = 0.841). No major complications have been reported. CONCLUSIONS MRI-guided VABB has proven to be a mini-invasive, safe, and accurate procedure for the diagnostic work-up of suspected breast lesions, which can help in the management of patients aiding in the correct surgical decisional process.
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Affiliation(s)
- Laura Suman
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Elisa D'Ascoli
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy.
| | - Catherine Depretto
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Alessandro Berenghi
- Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano, Milan, Italy
| | - Claudia De Berardinis
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Gianmarco Della Pepa
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Giovanni Irmici
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Daniela Ballerini
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Alice Bonanomi
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Eleonora Ancona
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Gianfranco Paride Scaperrotta
- Breast Radiology Department, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
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Rescinito G, Brunetti N, Garlaschi A, Tosto S, Gristina L, Conti B, Pieroni D, Calabrese M, Tagliafico AS. Long-term outcome of 9G MRI-guided vacuum-assisted breast biopsy: results of 293 single-center procedures and underestimation rate of high-risk lesions over 12 years. LA RADIOLOGIA MEDICA 2024; 129:767-775. [PMID: 38512628 PMCID: PMC11088538 DOI: 10.1007/s11547-024-01808-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 03/04/2024] [Indexed: 03/23/2024]
Abstract
PURPOSE Breast magnetic resonance imaging (MRI) can detect some malignant lesions that are not visible on mammography (MX) or ultrasound (US). If a targeted, second-look fails, MRI-guided breast biopsy is the only available tool to obtain a tissue sample and pathological proof of these "MRI-only lesions". The aim of this study is to report the performance and underestimation rate of 9G MRI-guided vacuum-assisted breast biopsy (VABB) over 12 years at a single center. MATERIAL AND METHODS All 9G MRI-VABB procedures performed from January 2010 to December 2021 were retrospectively reviewed. Two MRI scanners (1.5 T and 3 T) were used with the same image resolution and contrast media. All suspicious lesions detected only by breast MRI underwent biopsy. Reference standard was histological diagnosis or at least 1-year negative follow-up. All malignant and atypical lesions underwent surgery, which was used as the reference standard. RESULTS A total of 293 biopsies were retrospectively reviewed. Histopathological VABB results revealed 142/293 (48.4%) benign lesions, 77/293 (26.2%) high-risk lesions, and 74/293 (25.2%) malignant lesions. No significant complications were observed. Surgical pathology results allowed for the reclassification of n = 7/48 B3b lesions: n = 4 were ductal carcinoma in situ, while n = 3 presented invasive features at surgical histology (2 IDC; 1 ILC). B3b underestimation occurred overall in 14.6% of B3 cases. Breast follow-up was achieved for all benign VABB results, and only one false-negative case was observed. CONCLUSION Our results confirm that 1.5 T and 3 T MRI-guided VABB is an accurate and safe procedure for histopathologic final diagnosis of MRI-only lesions. Critical issues remain the potential high-risk underestimation rate of B3b VABB results and management of follow-up of benign lesions.
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Affiliation(s)
- Giuseppe Rescinito
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Nicole Brunetti
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy.
- Department of Experimental Medicine (DIMES), University of Genova, Via L.B. Alberti 2, 16132, Genoa, Italy.
| | - Alessandro Garlaschi
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Simona Tosto
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Licia Gristina
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Benedetta Conti
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Via L.B. Alberti 2, 16132, Genoa, Italy
| | - Diletta Pieroni
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Via L.B. Alberti 2, 16132, Genoa, Italy
| | - Massimo Calabrese
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Alberto Stefano Tagliafico
- Department of Radiology, IRCCS - Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Via L.B. Alberti 2, 16132, Genoa, Italy
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3
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Pesapane F, Nicosia L, Tantrige P, Schiaffino S, Liguori A, Montesano M, Bozzini A, Rotili A, Cellina M, Orsi M, Penco S, Pizzamiglio M, Carrafiello G, Cassano E. Inter-reader agreement of breast magnetic resonance imaging and contrast-enhanced mammography in breast cancer diagnosis: a multi-reader retrospective study. Breast Cancer Res Treat 2023; 202:451-459. [PMID: 37747580 DOI: 10.1007/s10549-023-07093-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/11/2023] [Indexed: 09/26/2023]
Abstract
OBJECTIVE Breast magnetic resonance imaging (MRI) and contrast-enhanced mammography (CEM) are nowadays used in breast imaging but studies about their inter-reader agreement are lacking. Therefore, we compared the inter-reader agreement of CEM and MRI in breast cancer diagnosis in the same patients. METHODS Breast MRI and CEM exams performed in a single center (09/2020-09/2021) for an IRB-approved study were retrospectively and independently evaluated by four radiologists of two different centers with different levels of experience who were blinded to the clinical and other imaging data. The reference standard was the histological diagnosis or at least 1-year negative imaging follow-up. Inter-reader agreement was examined using Cohen's and Fleiss' kappa (κ) statistics and compared with the Wald test. RESULTS Of the 750 patients, 395 met inclusion criteria (44.5 ± 14 years old), with 752 breasts available for CEM and MRI. Overall agreement was moderate (κ = 0.60) for MRI and substantial (κ = 0.74) for CEM. For expert readers, the agreement was substantial (κ = 0.77) for MRI and almost perfect (κ = 0.82) for CEM; for non-expert readers was fair (κ = 0.39); and for MRI and moderate (κ = 0.57) for CEM. Pairwise agreement between expert readers and non-expert readers was moderate (κ = 0.50) for breast MRI and substantial (κ = 0.74) for CEM and it showed a statistically superior agreement of the expert over the non-expert readers only for MRI (p = 0.011) and not for CEM (p = 0.062). CONCLUSIONS The agreement of CEM was superior to that of MRI (p = 0.012), including for both expert (p = 0.031) and non-expert readers (p = 0.005).
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Affiliation(s)
- Filippo Pesapane
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.
| | - Luca Nicosia
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Priyan Tantrige
- Department of Radiology, King's College Hospital NHS Foundation Trust, London, UK
| | - Simone Schiaffino
- Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900, Lugano, Switzerland
| | - Alessandro Liguori
- Department of Radiology, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Marta Montesano
- Department of Radiology, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Anna Bozzini
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Anna Rotili
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Michaela Cellina
- Department of Radiology, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, 20131, Milan, Italy
| | - Marcello Orsi
- Department of Radiology, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, 20131, Milan, Italy
| | - Silvia Penco
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Maria Pizzamiglio
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Gianpaolo Carrafiello
- Department of Radiology, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy
- Department of Health Sciences, University of Milan, 20122, Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
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4
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Rotili A, Pesapane F, Signorelli G, Penco S, Nicosia L, Bozzini A, Meneghetti L, Zanzottera C, Mannucci S, Bonanni B, Cassano E. An Unenhanced Breast MRI Protocol Based on Diffusion-Weighted Imaging: A Retrospective Single-Center Study on High-Risk Population for Breast Cancer. Diagnostics (Basel) 2023; 13:1996. [PMID: 37370892 DOI: 10.3390/diagnostics13121996] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/10/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
PURPOSE This study aimed to investigate the use of contrast-free magnetic resonance imaging (MRI) as an innovative screening method for detecting breast cancer in high-risk asymptomatic women. Specifically, the researchers evaluated the diagnostic performance of diffusion-weighted imaging (DWI) in this population. METHODS MR images from asymptomatic women, carriers of a germline mutation in either the BRCA1 or BRCA2 gene, collected in a single center from January 2019 to December 2021 were retrospectively evaluated. A radiologist with experience in breast imaging (R1) and a radiology resident (R2) independently evaluated DWI/ADC maps and, in case of doubts, T2-WI. The standard of reference was the pathological diagnosis through biopsy or surgery, or ≥1 year of clinical and radiological follow-up. Diagnostic performances were calculated for both readers with a 95% confidence interval (CI). The agreement was assessed using Cohen's kappa (κ) statistics. RESULTS Out of 313 women, 145 women were included (49.5 ± 12 years), totaling 344 breast MRIs with DWI/ADC maps. The per-exam cancer prevalence was 11/344 (3.2%). The sensitivity was 8/11 (73%; 95% CI: 46-99%) for R1 and 7/11 (64%; 95% CI: 35-92%) for R2. The specificity was 301/333 (90%; 95% CI: 87-94%) for both readers. The diagnostic accuracy was 90% for both readers. R1 recalled 40/344 exams (11.6%) and R2 recalled 39/344 exams (11.3%). Inter-reader reproducibility between readers was in moderate agreement (κ = 0.43). CONCLUSIONS In female carriers of a BRCA1/2 mutation, breast DWI supplemented with T2-WI allowed breast cancer detection with high sensitivity and specificity by a radiologist with extensive experience in breast imaging, which is comparable to other screening tests. The findings suggest that DWI and T2-WI have the potential to serve as a stand-alone method for unenhanced breast MRI screening in a selected population, opening up new perspectives for prospective trials.
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Affiliation(s)
- Anna Rotili
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Filippo Pesapane
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Giulia Signorelli
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Silvia Penco
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Luca Nicosia
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Anna Bozzini
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Lorenza Meneghetti
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Cristina Zanzottera
- Division of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Sara Mannucci
- Division of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
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Pesapane F, De Marco P, Rapino A, Lombardo E, Nicosia L, Tantrige P, Rotili A, Bozzini AC, Penco S, Dominelli V, Trentin C, Ferrari F, Farina M, Meneghetti L, Latronico A, Abbate F, Origgi D, Carrafiello G, Cassano E. How Radiomics Can Improve Breast Cancer Diagnosis and Treatment. J Clin Med 2023; 12:jcm12041372. [PMID: 36835908 PMCID: PMC9963325 DOI: 10.3390/jcm12041372] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
Recent technological advances in the field of artificial intelligence hold promise in addressing medical challenges in breast cancer care, such as early diagnosis, cancer subtype determination and molecular profiling, prediction of lymph node metastases, and prognostication of treatment response and probability of recurrence. Radiomics is a quantitative approach to medical imaging, which aims to enhance the existing data available to clinicians by means of advanced mathematical analysis using artificial intelligence. Various published studies from different fields in imaging have highlighted the potential of radiomics to enhance clinical decision making. In this review, we describe the evolution of AI in breast imaging and its frontiers, focusing on handcrafted and deep learning radiomics. We present a typical workflow of a radiomics analysis and a practical "how-to" guide. Finally, we summarize the methodology and implementation of radiomics in breast cancer, based on the most recent scientific literature to help researchers and clinicians gain fundamental knowledge of this emerging technology. Alongside this, we discuss the current limitations of radiomics and challenges of integration into clinical practice with conceptual consistency, data curation, technical reproducibility, adequate accuracy, and clinical translation. The incorporation of radiomics with clinical, histopathological, and genomic information will enable physicians to move forward to a higher level of personalized management of patients with breast cancer.
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Affiliation(s)
- Filippo Pesapane
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
- Correspondence: ; Tel.: +39-02-574891
| | - Paolo De Marco
- Medical Physics Unit, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Anna Rapino
- Postgraduation School in Radiodiagnostics, University of Milan, 20122 Milan, Italy
| | - Eleonora Lombardo
- UOC of Diagnostic Imaging, Policlinico Tor Vergata University, 00133 Rome, Italy
| | - Luca Nicosia
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Priyan Tantrige
- Department of Radiology, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Anna Rotili
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Anna Carla Bozzini
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Silvia Penco
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Valeria Dominelli
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Chiara Trentin
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Federica Ferrari
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Mariagiorgia Farina
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Lorenza Meneghetti
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Antuono Latronico
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Francesca Abbate
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Daniela Origgi
- Medical Physics Unit, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Gianpaolo Carrafiello
- Department of Radiology, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
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Fei X, Song R, Yu X, Zhang S, Zhang Y, Gao Y, Bi D, Yao S, Cui J. The clinical significance of complete process management for the quality control of horizontal rotational resection of a breast mass. Heliyon 2023; 9:e13537. [PMID: 36865481 PMCID: PMC9970895 DOI: 10.1016/j.heliyon.2023.e13537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023] Open
Abstract
Objective To explore the clinical outcomes of the complete process management of horizontal rotational resection of a breast mass. Methods A retrospective study was conducted involving 638 patients who underwent horizontal rotational resection of breast tissue in the Department of Thyroid and Breast Surgery of the People's Hospital of China Medical University from August 2018 to August 2020 using the ultrasound Breast Imaging-Reporting and Data System (BI-RADS) classification of 4A and below. These patients were divided into the experimental group and the control group based on whether the surgery had been performed following the order of the complete process management. The time cutoff point for the two groups was June 2019. The propensity score matching method was used to implement 1:1 ratio matching according to age, mass size, location, ultrasound BI-RADS classification, and breast size (measured by basal diameter), and the patients in the two groups were compared for the duration of surgery (the time needed to performed the three-step 3D positioning), postoperative skin hematoma and ecchymosis, postoperative pathological malignancy rate, residual rate of the mass, and satisfaction rate. Results After 278 pairs were matched, no statistically significant differences were found between the two groups in terms of demographics (P > 0.05). The duration of surgery in the experimental group was significantly shorter compared with the control group (7.90 ± 2.18 min vs. 10.20 ± 5.99 min, respectively; P < 0.05); the satisfaction score in the experimental group (8.33 ± 1.36) was higher compared with the control group (6.48 ± 1.22) (P < 0.05); the malignant and residual rates of mass in the experimental group were lower than those in the control group, i.e., 6 vs. 21 cases (P < 0.05), and 4 vs. 16 cases, respectively (P < 0.05); the incidence of skin hematoma and ecchymosis was lower in the experimental group, i.e., 3 vs. 21 cases (P < 0.05). Conclusion Complete process management for horizontal rotational resection of a breast mass can shorten the duration of surgery, reduce the residual mass, postoperative bleeding, and postoperative malignancy rates, and improve the breast preservation rate and patient satisfaction. Accordingly, its popularization represents research value.
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Affiliation(s)
- Xiang Fei
- Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University (Liaoning Provincial People’s Hospital), Shenyang, 110016, China
| | - Renfeng Song
- Department of General Surgery, First People’s Hospital of Huangzhong District, Xining, Qinghai Province, Xining, 056400, China
| | - Xuewei Yu
- Department of General Surgery, First People’s Hospital of Huangzhong District, Xining, Qinghai Province, Xining, 056400, China
| | - Siyuan Zhang
- Department of Breast and Thyroid Surgery, Beitun General Hospital of Tenth Division, Xinjiang Production and Construction Corps, Beitun, 836000, China
| | - Ying Zhang
- Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University (Liaoning Provincial People’s Hospital), Shenyang, 110016, China
| | - Yang Gao
- Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University (Liaoning Provincial People’s Hospital), Shenyang, 110016, China
| | - Dongning Bi
- Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University (Liaoning Provincial People’s Hospital), Shenyang, 110016, China
| | - Shengsheng Yao
- Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University (Liaoning Provincial People’s Hospital), Shenyang, 110016, China
| | - Jianchun Cui
- Department of Thyroid and Breast Surgery, People’s Hospital of China Medical University (Liaoning Provincial People’s Hospital), Shenyang, 110016, China,Corresponding author.
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7
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Rossi EMC, Invento A, Pesapane F, Pagan E, Bagnardi V, Fusco N, Venetis K, Dominelli V, Trentin C, Cassano E, Gilardi L, Mazza M, Lazzeroni M, De Lorenzi F, Caldarella P, De Scalzi A, Girardi A, Sangalli C, Alberti L, Sacchini V, Galimberti V, Veronesi P. Diagnostic performance of image-guided vacuum-assisted breast biopsy after neoadjuvant therapy for breast cancer: prospective pilot study. Br J Surg 2023; 110:217-224. [PMID: 36477768 PMCID: PMC10364486 DOI: 10.1093/bjs/znac391] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/14/2022] [Accepted: 10/23/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Image-guided vacuum-assisted breast biopsy (VABB) of the tumour bed, performed after neoadjuvant therapy, is increasingly being used to assess residual cancer and to potentially identify to identify pathological complete response (pCR). In this study, the accuracy of preoperative VABB specimens was assessed and compared with surgical specimens in patients with triple-negative or human epidermal growth factor receptor 2 (HER2)-positive invasive ductal breast cancer after neoadjuvant therapy. As a secondary endpoint, the performance of contrast-enhanced MRI of the breast and PET-CT for response prediction was assessed. METHODS This single-institution prospective pilot study enrolled patients from April 2018 to April 2021 with a complete response on imaging (iCR) who subsequently underwent VABB before surgery. Those with a pCR at VABB were included in the primary analysis of the accuracy of VABB. The performance of imaging (MRI and PET-CT) was analysed for prediction of a pCR considering both patients with an iCR and those with residual disease at postneoadjuvant therapy imaging. RESULTS Twenty patients were included in the primary analysis. The median age was 44 (range 35-51) years. At surgery, 18 of 20 patients showed a complete response (accuracy 90 (95 per cent exact c.i. 68 to 99) per cent). Only two patients showed residual ductal intraepithelial neoplasia of grade 2 and 3 respectively. In the secondary analysis, accuracy was similar for MRI and PET-CT (77 versus 78 per cent; P = 0.76). CONCLUSION VABB in patients with an iCR might be a promising method to select patients for de-escalation of surgical treatment in triple-negative or HER2-positive breast cancer. The present results support such an approach and should inform the design of future trials on de-escalation of surgery.
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Affiliation(s)
| | - Alessandra Invento
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Filippo Pesapane
- Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Eleonora Pagan
- Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy
| | - Vincenzo Bagnardi
- Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy
| | - Nicola Fusco
- Division of Pathology, IEO European Institute of Oncology IRCSS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Konstantinos Venetis
- Division of Pathology, IEO European Institute of Oncology IRCSS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Valeria Dominelli
- Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Chiara Trentin
- Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Laura Gilardi
- Division of Nuclear Medicine, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Manuelita Mazza
- Division of Medical Senology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Matteo Lazzeroni
- Division of Cancer Prevention and Genetics, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Francesca De Lorenzi
- Department of Plastic and Reconstructive Surgery, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Pietro Caldarella
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | | | - Antonia Girardi
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Claudia Sangalli
- Data Management, European Institute of Oncology IRCCS, Milan, Italy
| | - Luca Alberti
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Virgilio Sacchini
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.,Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Viviana Galimberti
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Paolo Veronesi
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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8
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Shao Y, Zhang YX, Chen HH, Lu SS, Zhang SC, Zhang JX. Advances in the application of artificial intelligence in solid tumor imaging. Artif Intell Cancer 2021; 2:12-24. [DOI: 10.35713/aic.v2.i2.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/02/2021] [Accepted: 04/20/2021] [Indexed: 02/06/2023] Open
Affiliation(s)
- Ying Shao
- Department of Laboratory Medicine, People Hospital of Jiangying, Jiangying 214400, Jiangsu Province, China
| | - Yu-Xuan Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Huan-Huan Chen
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Shan-Shan Lu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Shi-Chang Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Jie-Xin Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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9
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Pesapane F, Rotili A, Penco S, Montesano M, Agazzi GM, Dominelli V, Trentin C, Pizzamiglio M, Cassano E. Inter-Reader Agreement of Diffusion-Weighted Magnetic Resonance Imaging for Breast Cancer Detection: A Multi-Reader Retrospective Study. Cancers (Basel) 2021; 13:cancers13081978. [PMID: 33924033 PMCID: PMC8073591 DOI: 10.3390/cancers13081978] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 04/12/2021] [Accepted: 04/16/2021] [Indexed: 11/16/2022] Open
Abstract
PURPOSE In order to evaluate the use of un-enhanced magnetic resonance imaging (MRI) for detecting breast cancer, we evaluated the accuracy and the agreement of diffusion-weighted imaging (DWI) through the inter-reader reproducibility between expert and non-expert readers. MATERIAL AND METHODS Consecutive breast MRI performed in a single centre were retrospectively evaluated by four radiologists with different levels of experience. The per-breast standard of reference was the histological diagnosis from needle biopsy or surgical excision, or at least one-year negative follow-up on imaging. The agreement across readers (by inter-reader reproducibility) was examined for each breast examined using Cohen's and Fleiss' kappa (κ) statistics. The Wald test was used to test the difference in inter-reader agreement between expert and non-expert readers. RESULTS Of 1131 examinations, according to our inclusion and exclusion criteria, 382 women were included (49.5 ± 12 years old), 40 of them with unilateral mastectomy, totaling 724 breasts. Overall inter-reader reproducibility was substantial (κ = 0.74) for expert readers and poor (κ = 0.37) for non- expert readers. Pairwise agreement between expert readers and non-expert readers was moderate (κ = 0.60) and showed a statistically superior agreement of the expert readers over the non-expert readers (p = 0.003). CONCLUSIONS DWI showed substantial inter-reader reproducibility among expert-level readers. Pairwise comparison showed superior agreement of the expert readers over the non-expert readers, with the expert readers having higher inter-reader reproducibility than the non-expert readers. These findings open new perspectives for prospective studies investigating the actual role of DWI as a stand-alone method for un-enhanced breast MRI.
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Affiliation(s)
- Filippo Pesapane
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
- Correspondence:
| | - Anna Rotili
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
| | - Silvia Penco
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
| | - Marta Montesano
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
| | | | - Valeria Dominelli
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
| | - Chiara Trentin
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
| | - Maria Pizzamiglio
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
| | - Enrico Cassano
- Radiology Department, Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy; (A.R.); (S.P.); (M.M.); (V.D.); (C.T.); (M.P.); (E.C.)
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10
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Pesapane F, Penco S, Rotili A, Nicosia L, Bozzini A, Trentin C, Dominelli V, Priolo F, Farina M, Marinucci I, Meroni S, Abbate F, Meneghetti L, Latronico A, Pizzamiglio M, Cassano E. How we provided appropriate breast imaging practices in the epicentre of the COVID-19 outbreak in Italy. Br J Radiol 2020; 93:20200679. [PMID: 32877209 PMCID: PMC7548363 DOI: 10.1259/bjr.20200679] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Italy has one of the highest COVID-19 clinical burdens in the world and Lombardy region accounts for more than half of the deaths of the country. Since COVID-19 is a novel disease, early impactful decisions are often based on experience of referral centres. We report the re-organisation which our institute (IEO, European Institute of Oncology), a cancer referral centre in Lombardy, went through to make our breast-imaging division pandemic-proof. Using personal-protective-equipment and innovative protocols, we provided essential breast-imaging procedures during COVID-19 pandemic without compromising cancer outcomes. The emergency management and infection-control-measures implemented in our division protected both the patients and the staff, making this experience useful for other radiology departments dealing with the pandemic.
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Affiliation(s)
- Filippo Pesapane
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Silvia Penco
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Anna Rotili
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Luca Nicosia
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Anna Bozzini
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Chiara Trentin
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Valeria Dominelli
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Francesca Priolo
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Mariagiorgia Farina
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Irene Marinucci
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Stefano Meroni
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Francesca Abbate
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Lorenza Meneghetti
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Antuono Latronico
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Maria Pizzamiglio
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy
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11
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Pesapane F, Downey K, Rotili A, Cassano E, Koh DM. Imaging diagnosis of metastatic breast cancer. Insights Imaging 2020; 11:79. [PMID: 32548731 PMCID: PMC7297923 DOI: 10.1186/s13244-020-00885-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/22/2020] [Indexed: 12/11/2022] Open
Abstract
Numerous imaging modalities may be used for the staging of women with advanced breast cancer. Although bone scintigraphy and multiplanar-CT are the most frequently used tests, others including PET, MRI and hybrid scans are also utilised, with no specific recommendations of which test should be preferentially used. We review the evidence behind the imaging modalities that characterise metastases in breast cancer and to update the evidence on comparative imaging accuracy.
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Affiliation(s)
- Filippo Pesapane
- Breast Imaging Division, IEO - European Institute of Oncology IRCCS, Via Giuseppe Ripamonti, 435, 20141, Milano, MI, Italy.
| | - Kate Downey
- Department of Breast Radiology, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UK
| | - Anna Rotili
- Breast Imaging Division, IEO - European Institute of Oncology IRCCS, Via Giuseppe Ripamonti, 435, 20141, Milano, MI, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO - European Institute of Oncology IRCCS, Via Giuseppe Ripamonti, 435, 20141, Milano, MI, Italy
| | - Dow-Mu Koh
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.,Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UK
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