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Depretto C, D'Ascoli E, Della Pepa G, Irmici G, De Berardinis C, Ballerini D, Bonanomi A, Ancona E, Ferranti C, Scaperrotta GP. Assessing the malignancy of suspicious breast microcalcifications: the role of contrast enhanced mammography. Radiol Med 2024:10.1007/s11547-024-01813-y. [PMID: 38607514 DOI: 10.1007/s11547-024-01813-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/02/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE To assess the role of contrast-enhanced mammography (CEM) in predicting the malignancy of breast calcifications. MATERIAL AND METHODS We retrospectively evaluated patients with suspicious calcifications (BIRADS 4) who underwent CEM and stereotactic vacuum-assisted biopsy (VAB) at our institution. We assessed the sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) of CEM in predicting malignancy of microcalcifications with a 95% confidence interval; we performed an overall analysis and a subgroup analysis stratified into group A-low risk (BIRADS 4a) and group B-medium/high risk (BIRADS 4b-4c). We then evaluated the correlation between enhancement and tumour proliferation index (Ki-67) for all malignant lesions. RESULTS Data from 182 patients with 184 lesions were collected. Overall the SE of CEM in predicting the malignancy of microcalcifications was 0.70, SP was 0.85, the PPV was 0.82, the NPV was 0.76 and AUC was 0.78. SE in group A was 0.89, SP was 0.89, PPV was 0.57, NPV was 0.98 and AUC was 0.75. SE in group B was 0.68, SP was 0.80, PPV was 0.87, NPV was 0.57 and AUC was 0.75. Among malignant microcalcifications that showed enhancement (N = 52), 61.5% had Ki-67 ≥ 20% and 38.5% had low Ki-67 values. Among the lesions that did not show enhancement (N = 22), 90.9% had Ki-67 < 20% and 9.1% showed high Ki-67 values 20%. CONCLUSIONS The absence of enhancement can be used as an indicative parameter for the absence of disease in cases of low-suspicious microcalcifications, but not in intermediate-high suspicious ones for which biopsy remains mandatory and can be used to distinguish indolent lesions from more aggressive neoplasms, with consequent reduction of overdiagnosis and overtreatment.
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Affiliation(s)
- Catherine Depretto
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Elisa D'Ascoli
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy.
| | - Gianmarco Della Pepa
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Giovanni Irmici
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Claudia De Berardinis
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Daniela Ballerini
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Alice Bonanomi
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Eleonora Ancona
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
| | - Claudio Ferranti
- Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Via Giacomo Venezian 1, 20133, Milan, Italy
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Ligorio F, Lobefaro R, Fucà G, Provenzano L, Zanenga L, Nasca V, Sposetti C, Salvadori G, Ficchì A, Franza A, Martinetti A, Sottotetti E, Formisano B, Depretto C, Scaperrotta G, Belfiore A, Vingiani A, Ferraris C, Pruneri G, de Braud F, Vernieri C. Adding fasting-mimicking diet to first-line carboplatin-based chemotherapy is associated with better overall survival in advanced triple-negative breast cancer patients: A subanalysis of the NCT03340935 trial. Int J Cancer 2024; 154:114-123. [PMID: 37615485 DOI: 10.1002/ijc.34701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/18/2023] [Accepted: 07/25/2023] [Indexed: 08/25/2023]
Abstract
Severe calorie restriction, in the form of cyclic fasting or fasting-mimicking diets (FMDs), boosts the antitumor activity of cytotoxic chemotherapy in mouse models of triple-negative breast cancer (TNBC). This effect is mostly mediated by fasting/FMD-induced reduction of plasma glucose concentration and by a boost in antitumor immunity. However, clinical evidence that cyclic FMD may impact on the outcomes of advanced TNBC (aTNBC) patients is lacking. We compared the overall survival (OS) of 14 aTNBC patients receiving first-line carboplatin-gemcitabine plus cyclic FMD in the context of the NCT03340935 trial with the OS of 76 consecutive aTNBC patients treated with carboplatin-based chemotherapy alone at Fondazione IRCCS Istituto Nazionale dei Tumori. Multivariable Cox regression models were used to adjust the prognostic impact of FMD for other prognostic variables. Patients undergoing cyclic FMD in combination with carboplatin-gemcitabine had better OS when compared to patients receiving chemotherapy alone (median OS 30.3 months, 95% CI 18-NR, vs 17.2 months, 95% CI 15.3-25.1, log-rank P value .041). Multivariable analysis confirmed an association between FMD use and better OS (HR: 0.40; 95% CI: 0.19-0.86; P = .019) also after propensity score-based matching according to patient ECOG PS and the presence of de novo metastatic disease (HR: 0.41; 95% CI: 0.21-0.83; P = .013). Cyclic FMD in combination with first-line chemotherapy may improve clinical outcomes in aTNBC patients. Our study paves the way for conducting phase II trials to investigate if cyclic FMD can increase the antitumor activity/efficacy of chemotherapy or chemoimmunotherapy in patients with early-stage TNBC or aTNBC.
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Affiliation(s)
- Francesca Ligorio
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Riccardo Lobefaro
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanni Fucà
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Leonardo Provenzano
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Lucrezia Zanenga
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Vincenzo Nasca
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Caterina Sposetti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Giulia Salvadori
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Angela Ficchì
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Franza
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Antonia Martinetti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elisa Sottotetti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Barbara Formisano
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Catherine Depretto
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Antonino Belfiore
- Pathology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Vingiani
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
- Pathology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Cristina Ferraris
- Breast Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giancarlo Pruneri
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
- Pathology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Filippo de Braud
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Oncology and Hemato-Oncology Department, University of Milan, Milan, Italy
| | - Claudio Vernieri
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
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Irmici G, Cè M, Pepa GD, D'Ascoli E, De Berardinis C, Giambersio E, Rabiolo L, La Rocca L, Carriero S, Depretto C, Scaperrotta G, Cellina M. Exploring the Potential of Artificial Intelligence in Breast Ultrasound. Crit Rev Oncog 2024; 29:15-28. [PMID: 38505878 DOI: 10.1615/critrevoncog.2023048873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Breast ultrasound has emerged as a valuable imaging modality in the detection and characterization of breast lesions, particularly in women with dense breast tissue or contraindications for mammography. Within this framework, artificial intelligence (AI) has garnered significant attention for its potential to improve diagnostic accuracy in breast ultrasound and revolutionize the workflow. This review article aims to comprehensively explore the current state of research and development in harnessing AI's capabilities for breast ultrasound. We delve into various AI techniques, including machine learning, deep learning, as well as their applications in automating lesion detection, segmentation, and classification tasks. Furthermore, the review addresses the challenges and hurdles faced in implementing AI systems in breast ultrasound diagnostics, such as data privacy, interpretability, and regulatory approval. Ethical considerations pertaining to the integration of AI into clinical practice are also discussed, emphasizing the importance of maintaining a patient-centered approach. The integration of AI into breast ultrasound holds great promise for improving diagnostic accuracy, enhancing efficiency, and ultimately advancing patient's care. By examining the current state of research and identifying future opportunities, this review aims to contribute to the understanding and utilization of AI in breast ultrasound and encourage further interdisciplinary collaboration to maximize its potential in clinical practice.
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Affiliation(s)
- Giovanni Irmici
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Maurizio Cè
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Gianmarco Della Pepa
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Elisa D'Ascoli
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Claudia De Berardinis
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Emilia Giambersio
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Lidia Rabiolo
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Policlinico Università di Palermo, Palermo, Italy
| | - Ludovica La Rocca
- Postgraduation School in Radiodiagnostics, Università degli Studi di Napoli
| | - Serena Carriero
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Catherine Depretto
- Breast Radiology Unit, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy
| | | | - Michaela Cellina
- Radiology Department, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, Milano, Piazza Principessa Clotilde 3, 20121, Milan, Italy
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Depretto C, Della Pepa G, De Berardinis C, Suman L, Ferranti C, Marchesini M, Maugeri I, Martelli G, Gennaro M, Folli S, Pruneri G, Scaperrotta GP. Magnetic Localization of Breast Lesions: A Large-Scale European Evaluation in a National Cancer Institute. Clin Breast Cancer 2023; 23:e491-e498. [PMID: 37704563 DOI: 10.1016/j.clbc.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 09/15/2023]
Abstract
INTRODUCTION For decades the standard for preoperative breast lesions' localization has been wire localization. In recent years the options for nonwired localization have significantly expanded and include radioactive seeds, radar reflectors, radiofrequency identification tags and magnetic seeds. The aim of our study is to evaluate on a large scale the performance of preoperative magnetic seed localization of nonpalpable breast lesions. MATERIAL AND METHODS We prospectively collected data on all patients undergoing image-guided magnetic seed localization from September 2019 to December 2022. We analyzed imaging findings, histological results, and type of surgery. The primary outcome was the successful localization rate. Secondary outcomes were the successful placement rate, the ease of percutaneous positioning, the procedural complications, and the reintervention rate. RESULTS A total of 1123 magnetic seeds were placed in 1084 patients by 4 radiologists under ultrasound (1053) or stereotactic (70) guidance. All seeds were detectable transcutaneously in all breasts sizes and at all depths by 7 surgeons with a success rate of 100%. A total of 97.5% seeds were correctly placed into the target lesions (only 2.5% were dislocated). All radiologists have shown good compliance during the procedure, and there were no complications or safety issues. The reoperation rate was 5.1%. CONCLUSIONS Image-guided localization with magnetic seeds is an easy, safe, reliable, and effective method for localizing nonpalpable breast lesions. Both radiologists and surgeons agreed that the technology was intuitive to use and that it can be widely applied in preoperative localization in breast units.
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Affiliation(s)
- Catherine Depretto
- Breast Imaging Unit, Radiology Department, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Gianmarco Della Pepa
- Postgraduate School of Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Claudia De Berardinis
- Postgraduate School of Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.
| | - Laura Suman
- Breast Imaging Unit, Radiology Department, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Claudio Ferranti
- Breast Imaging Unit, Radiology Department, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Monica Marchesini
- Breast Imaging Unit, Radiology Department, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Ilaria Maugeri
- Breast Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Gabriele Martelli
- Breast Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Massimiliano Gennaro
- Breast Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Secondo Folli
- Breast Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
| | - Giancarlo Pruneri
- Pathology Department, Fondazione IRCCS Istituto Nazionale Tumori di Milano, Milan, Italy
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Cozzi A, Di Leo G, Houssami N, Gilbert FJ, Helbich TH, Álvarez Benito M, Balleyguier C, Bazzocchi M, Bult P, Calabrese M, Camps Herrero J, Cartia F, Cassano E, Clauser P, de Lima Docema MF, Depretto C, Dominelli V, Forrai G, Girometti R, Harms SE, Hilborne S, Ienzi R, Lobbes MBI, Losio C, Mann RM, Montemezzi S, Obdeijn IM, Aksoy Ozcan U, Pediconi F, Pinker K, Preibsch H, Raya Povedano JL, Rossi Saccarelli C, Sacchetto D, Scaperrotta GP, Schlooz M, Szabó BK, Taylor DB, Ulus SÖ, Van Goethem M, Veltman J, Weigel S, Wenkel E, Zuiani C, Sardanelli F. Preoperative breast MRI positively impacts surgical outcomes of needle biopsy-diagnosed pure DCIS: a patient-matched analysis from the MIPA study. Eur Radiol 2023:10.1007/s00330-023-10409-5. [PMID: 37999727 DOI: 10.1007/s00330-023-10409-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 09/16/2023] [Accepted: 10/11/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES To investigate the influence of preoperative breast MRI on mastectomy and reoperation rates in patients with pure ductal carcinoma in situ (DCIS). METHODS The MIPA observational study database (7245 patients) was searched for patients aged 18-80 years with pure unilateral DCIS diagnosed at core needle or vacuum-assisted biopsy (CNB/VAB) and planned for primary surgery. Patients who underwent preoperative MRI (MRI group) were matched (1:1) to those who did not receive MRI (noMRI group) according to 8 confounding covariates that drive referral to MRI (age; hormonal status; familial risk; posterior-to-nipple diameter; BI-RADS category; lesion diameter; lesion presentation; surgical planning at conventional imaging). Surgical outcomes were compared between the matched groups with nonparametric statistics after calculating odds ratios (ORs). RESULTS Of 1005 women with pure unilateral DCIS at CNB/VAB (507 MRI group, 498 noMRI group), 309 remained in each group after matching. First-line mastectomy rate in the MRI group was 20.1% (62/309 patients, OR 2.03) compared to 11.0% in the noMRI group (34/309 patients, p = 0.003). The reoperation rate was 10.0% in the MRI group (31/309, OR for reoperation 0.40) and 22.0% in the noMRI group (68/309, p < 0.001), with a 2.53 OR of avoiding reoperation in the MRI group. The overall mastectomy rate was 23.3% in the MRI group (72/309, OR 1.40) and 17.8% in the noMRI group (55/309, p = 0.111). CONCLUSIONS Compared to those going directly to surgery, patients with pure DCIS at CNB/VAB who underwent preoperative MRI had a higher OR for first-line mastectomy but a substantially lower OR for reoperation. CLINICAL RELEVANCE STATEMENT When confounding factors behind MRI referral are accounted for in the comparison of patients with CNB/VAB-diagnosed pure unilateral DCIS, preoperative MRI yields a reduction of reoperations that is more than twice as high as the increase in overall mastectomies. KEY POINTS • Confounding factors cause imbalance when investigating the influence of preoperative MRI on surgical outcomes of pure DCIS. • When patient matching is applied to women with pure unilateral DCIS, reoperation rates are significantly reduced in women who underwent preoperative MRI. • The reduction of reoperations brought about by preoperative MRI is more than double the increase in overall mastectomies.
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Affiliation(s)
- Andrea Cozzi
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy
- Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Giovanni Di Leo
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy
| | - Nehmat Houssami
- The Daffodil Centre, Faculty of Medicine and Health, The University of Sydney (Joint Venture with Cancer Council NSW), Sydney, Australia
| | - Fiona J Gilbert
- Department of Radiology, School of Clinical Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Thomas H Helbich
- Division of General and Paediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Division of Molecular and Structural Preclinical Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Corinne Balleyguier
- Department of Radiology, Institut Gustave Roussy, Villejuif, France
- Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, France
| | - Massimo Bazzocchi
- Institute of Radiology, Department of Medicine, Ospedale Universitario S. Maria della Misericordia, Università degli Studi di Udine, Udine, Italy
| | - Peter Bult
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Massimo Calabrese
- Unit of Oncological and Breast Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Julia Camps Herrero
- Department of Radiology, Hospital Universitario de La Ribera, Alzira, Spain
- Ribera Salud Hospitals, Valencia, Spain
| | - Francesco Cartia
- Unit of Breast Imaging, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Paola Clauser
- Division of General and Paediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Catherine Depretto
- Unit of Breast Imaging, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Valeria Dominelli
- Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Gábor Forrai
- Department of Radiology, MHEK Teaching Hospital, Semmelweis University, Budapest, Hungary
- Department of Radiology, Duna Medical Center, GE-RAD Kft, Budapest, Hungary
| | - Rossano Girometti
- Institute of Radiology, Department of Medicine, Ospedale Universitario S. Maria della Misericordia, Università degli Studi di Udine, Udine, Italy
| | - Steven E Harms
- Breast Center of Northwest Arkansas, Fayetteville, AR, USA
| | - Sarah Hilborne
- Department of Radiology, School of Clinical Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Raffaele Ienzi
- Department of Radiology, Di.Bi.MED, Policlinico Universitario Paolo Giaccone Università degli Studi di Palermo, Palermo, Italy
| | - Marc B I Lobbes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Claudio Losio
- Department of Breast Radiology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Ritse M Mann
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Stefania Montemezzi
- Department of Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Inge-Marie Obdeijn
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Umit Aksoy Ozcan
- Department of Radiology, Acıbadem Atasehir Hospital, Istanbul, Turkey
| | - Federica Pediconi
- Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Rome, Italy
| | - Katja Pinker
- Division of General and Paediatric Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heike Preibsch
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | | | | | - Daniela Sacchetto
- Kiwifarm S.R.L., La Morra, Italy
- Disaster Medicine Service 118, ASL CN1, Levaldigi, Italy
| | | | - Margrethe Schlooz
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Botond K Szabó
- Department of Radiology, Barking Havering and Redbridge University Hospitals NHS Trust, London, UK
| | - Donna B Taylor
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Australia
- Department of Radiology, Royal Perth Hospital, Perth, Australia
| | - Sila Ö Ulus
- Department of Radiology, Acıbadem Atasehir Hospital, Istanbul, Turkey
| | - Mireille Van Goethem
- Gynecological Oncology Unit, Department of Obstetrics and Gynecology, Department of Radiology, Multidisciplinary Breast Clinic, Antwerp University Hospital, University of Antwerp, Antwerp, Belgium
| | - Jeroen Veltman
- Maatschap Radiologie Oost-Nederland, Oldenzaal, The Netherlands
| | - Stefanie Weigel
- Clinic for Radiology and Reference Center for Mammography, University of Münster, Münster, Germany
| | - Evelyn Wenkel
- Department of Radiology, University Hospital of Erlangen, Erlangen, Germany
| | - Chiara Zuiani
- Institute of Radiology, Department of Medicine, Ospedale Universitario S. Maria della Misericordia, Università degli Studi di Udine, Udine, Italy
| | - Francesco Sardanelli
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy.
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
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Carriero S, Depretto C, Cozzi A, Della Pepa G, D’Ascoli E, Irmici G, Tamburrano C, Ballerini D, Bonanomi A, Scaperrotta GP. Efficacy and safety of vacuum-assisted excision (VAE) of fibroadenomas: experience in a tertiary centre. Radiol Med 2023; 128:1199-1205. [PMID: 37530965 PMCID: PMC10547646 DOI: 10.1007/s11547-023-01684-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/14/2023] [Indexed: 08/03/2023]
Abstract
PURPOSE To evaluate the technical success and efficacy rates of US-guided percutaneous vacuum-assisted excision (VAE) of breast fibroadenomas, also assessing procedural complications and long-term patient satisfaction rates. MATERIALS AND METHODS The institutional database of a tertiary breast cancer referral centre was retrospectively reviewed to retrieve all women with fibroadenomas who underwent US-guided VAE between May 2011 and September 2019. We subsequently included in this study all fibroadenomas with a maximum diameter of 3 cm at US and an available histological confirmation obtained by core-needle biopsy before VAE. Immediately after VAE, technical success (defined as the correct VAE execution) and the occurrence of procedural complications were evaluated. Imaging follow-up (US ± mammography) after 6, 12, 24 and 36 months was performed to evaluate technical efficacy (defined as the absence of fibroadenoma recurrence at 6-month follow-up). Long-term patient satisfaction was evaluated with telephonic interviews in October 2022. RESULTS We retrospectively included 108 women (median age 46 years) with 110 fibroadenomas diagnosed at core-needle biopsy with a median lesion size at US of 12 mm. Technical success was obtained in 110/110 VAEs (100%). Minor procedural complications (haematomas) occurred in 7/110 VAEs (6%), whereas 8/110 patients had a fibroadenoma recurrence at 6-month follow-up, resulting in a 93% technical efficacy (102/110 VAEs). All patients available for telephonic follow-up (104/104, 100%) reported high satisfaction with VAE results. CONCLUSION US-guided VAE is a safe and effective procedure for the excision of fibroadenomas, representing a viable alternative to surgery, with a low complication rate and high patient satisfaction.
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Affiliation(s)
- Serena Carriero
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Catherine Depretto
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, 20133 Milan, Italy
| | - Andrea Cozzi
- Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC) Via Tesserete 46, 6900 Lugano, Switzerland
| | - Gianmarco Della Pepa
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Elisa D’Ascoli
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Giovanni Irmici
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Chiara Tamburrano
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, 20133 Milan, Italy
| | - Daniela Ballerini
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, 20133 Milan, Italy
| | - Alice Bonanomi
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, 20133 Milan, Italy
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Cozzi A, Di Leo G, Houssami N, Gilbert FJ, Helbich TH, Álvarez Benito M, Balleyguier C, Bazzocchi M, Bult P, Calabrese M, Camps Herrero J, Cartia F, Cassano E, Clauser P, de Lima Docema MF, Depretto C, Dominelli V, Forrai G, Girometti R, Harms SE, Hilborne S, Ienzi R, Lobbes MBI, Losio C, Mann RM, Montemezzi S, Obdeijn IM, Ozcan UA, Pediconi F, Pinker K, Preibsch H, Raya Povedano JL, Rossi Saccarelli C, Sacchetto D, Scaperrotta GP, Schlooz M, Szabó BK, Taylor DB, Ulus ÖS, Van Goethem M, Veltman J, Weigel S, Wenkel E, Zuiani C, Sardanelli F. Screening and diagnostic breast MRI: how do they impact surgical treatment? Insights from the MIPA study. Eur Radiol 2023; 33:6213-6225. [PMID: 37138190 PMCID: PMC10415233 DOI: 10.1007/s00330-023-09600-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 01/19/2023] [Accepted: 02/22/2023] [Indexed: 05/05/2023]
Abstract
OBJECTIVES To report mastectomy and reoperation rates in women who had breast MRI for screening (S-MRI subgroup) or diagnostic (D-MRI subgroup) purposes, using multivariable analysis for investigating the role of MRI referral/nonreferral and other covariates in driving surgical outcomes. METHODS The MIPA observational study enrolled women aged 18-80 years with newly diagnosed breast cancer destined to have surgery as the primary treatment, in 27 centres worldwide. Mastectomy and reoperation rates were compared using non-parametric tests and multivariable analysis. RESULTS A total of 5828 patients entered analysis, 2763 (47.4%) did not undergo MRI (noMRI subgroup) and 3065 underwent MRI (52.6%); of the latter, 2441/3065 (79.7%) underwent MRI with preoperative intent (P-MRI subgroup), 510/3065 (16.6%) D-MRI, and 114/3065 S-MRI (3.7%). The reoperation rate was 10.5% for S-MRI, 8.2% for D-MRI, and 8.5% for P-MRI, while it was 11.7% for noMRI (p ≤ 0.023 for comparisons with D-MRI and P-MRI). The overall mastectomy rate (first-line mastectomy plus conversions from conserving surgery to mastectomy) was 39.5% for S-MRI, 36.2% for P-MRI, 24.1% for D-MRI, and 18.0% for noMRI. At multivariable analysis, using noMRI as reference, the odds ratios for overall mastectomy were 2.4 (p < 0.001) for S-MRI, 1.0 (p = 0.957) for D-MRI, and 1.9 (p < 0.001) for P-MRI. CONCLUSIONS Patients from the D-MRI subgroup had the lowest overall mastectomy rate (24.1%) among MRI subgroups and the lowest reoperation rate (8.2%) together with P-MRI (8.5%). This analysis offers an insight into how the initial indication for MRI affects the subsequent surgical treatment of breast cancer. KEY POINTS • Of 3065 breast MRI examinations, 79.7% were performed with preoperative intent (P-MRI), 16.6% were diagnostic (D-MRI), and 3.7% were screening (S-MRI) examinations. • The D-MRI subgroup had the lowest mastectomy rate (24.1%) among MRI subgroups and the lowest reoperation rate (8.2%) together with P-MRI (8.5%). • The S-MRI subgroup had the highest mastectomy rate (39.5%) which aligns with higher-than-average risk in this subgroup, with a reoperation rate (10.5%) not significantly different to that of all other subgroups.
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Affiliation(s)
- Andrea Cozzi
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy
| | - Giovanni Di Leo
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy
| | - Nehmat Houssami
- The Daffodil Centre, Faculty of Medicine and Health, The University of Sydney (Joint Venture with Cancer Council NSW), Sydney, Australia
| | - Fiona J Gilbert
- Department of Radiology, School of Clinical Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Thomas H Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | | | - Corinne Balleyguier
- Department of Radiology, Institut Gustave Roussy, Villejuif, France
- BioMaps (UMR1281), INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, France
| | - Massimo Bazzocchi
- Institute of Radiology, Department of Medicine, Ospedale Universitario S. Maria della Misericordia, Università degli Studi di Udine, Udine, Italy
| | - Peter Bult
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Massimo Calabrese
- Unit of Oncological and Breast Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Francesco Cartia
- Unit of Breast Imaging, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Paola Clauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
| | | | - Catherine Depretto
- Unit of Breast Imaging, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Valeria Dominelli
- Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Gábor Forrai
- Department of Radiology, MHEK Teaching Hospital, Semmelweis University, Budapest, Hungary
| | - Rossano Girometti
- Institute of Radiology, Department of Medicine, Ospedale Universitario S. Maria della Misericordia, Università degli Studi di Udine, Udine, Italy
| | - Steven E Harms
- Breast Center of Northwest Arkansas, Fayetteville, AR, USA
| | - Sarah Hilborne
- Department of Radiology, School of Clinical Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Raffaele Ienzi
- Department of Radiology, Di.Bi.MED, Policlinico Universitario Paolo Giaccone, Università degli Studi di Palermo, Palermo, Italy
| | - Marc B I Lobbes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Claudio Losio
- Department of Breast Radiology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Ritse M Mann
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Stefania Montemezzi
- Department of Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Inge-Marie Obdeijn
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Umit A Ozcan
- Unit of Radiology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey
| | - Federica Pediconi
- Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Rome, Italy
| | - Katja Pinker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Structural Preclinical Imaging, Medical University of Vienna, Vienna, Austria
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heike Preibsch
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | | | | | - Daniela Sacchetto
- Kiwifarm S.r.l, La Morra, Italy
- Disaster Medicine Service 118, ASL CN1, Saluzzo, Italy
- CRIMEDIM, Research Center in Emergency and Disaster Medicine, Università degli Studi del Piemonte Orientale "Amedeo Avogadro", Novara, Italy
| | | | - Margrethe Schlooz
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Botond K Szabó
- Department of Radiology, Barking Havering and Redbridge University Hospitals NHS Trust, London, UK
| | - Donna B Taylor
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Australia
- Department of Radiology, Royal Perth Hospital, Perth, Australia
| | - Özden S Ulus
- Unit of Radiology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey
| | - Mireille Van Goethem
- Gynecological Oncology Unit, Department of Obstetrics and Gynecology, Department of Radiology, Multidisciplinary Breast Clinic, Antwerp University Hospital, University of Antwerp, Antwerpen, Belgium
| | - Jeroen Veltman
- Maatschap Radiologie Oost-Nederland, Oldenzaal, The Netherlands
| | - Stefanie Weigel
- Institute of Clinical Radiology and Reference Center for Mammography, University of Münster, Münster, Germany
| | - Evelyn Wenkel
- Department of Radiology, University Hospital of Erlangen, Erlangen, Germany
| | - Chiara Zuiani
- Institute of Radiology, Department of Medicine, Ospedale Universitario S. Maria della Misericordia, Università degli Studi di Udine, Udine, Italy
| | - Francesco Sardanelli
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy.
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
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8
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Giambersio E, Depretto C, Trimboli RM, Di Leo G, D'Ascoli E, Della Pepa G, Irmici G, Rabiolo L, Scaperrotta GP. Utility of detection of breast calcifications with integrated real-time radiography system (IRRS) during digital breast tomosynthesis (DBT)-guided vacuum assisted biopsy (VAB): initial single-center experience. Radiol Med 2023:10.1007/s11547-023-01636-3. [PMID: 37115391 DOI: 10.1007/s11547-023-01636-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/20/2023] [Indexed: 04/29/2023]
Abstract
PURPOSE To determine whether the presence of calcifications in specimens collected during stereotactic-guided vacuum-assisted breast biopsies (VABB) is sufficient to ascertain their adequacy for final diagnosis at pathology. MATERIALS AND METHODS Digital breast tomosynthesis (DBT)-guided VABBs were performed on 74 patients with calcifications as target. Each biopsy consisted of the collection of 12 samplings with a 9-gauge needle. This technique was integrated with a real-time radiography system (IRRS) which allowed the operator to determine whether calcifications were included in the specimens at the end of each of the 12 tissue collections through the acquisition of a radiograph of every sampling. Calcified and non-calcified specimens were separately sent to pathology and evaluated. RESULTS A total of 888 specimens were retrieved, 471 containing calcifications and 417 without. In 105 (22.2%) samples out of 471 with calcifications cancer was detected, while the remaining 366 (77.7%) were non-cancerous. Out of 417 specimens without calcifications 56 (13.4%) were cancerous, whereas 361 (86.5%) were non-cancerous. Seven hundred and twenty-seven specimens out of all 888 were cancer-free (81.8%, 95%CI 79-84%). CONCLUSION Although there is a statistical significative difference between calcified and non-calcified samples and the detection of cancer (p < 0.001), our study shows that the sole presence of calcifications in the specimens is not sufficient to determine their adequacy for final diagnosis at pathology because non-calcified samples can be cancerous and vice-versa. Ending biopsies when calcifications are first detected through IRRS could lead to false negative results.
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Affiliation(s)
- Emilia Giambersio
- Postgraduate School in Radiodiagnostics, Università degli Studi Di Milano, Via Festa del Perdono 7, 20122, Milan, Italy.
| | - Catherine Depretto
- Breast Imaging Unit, IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy
| | | | - Giovanni Di Leo
- Radiology Unit, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese (Milan), Italy
| | - Elisa D'Ascoli
- Postgraduate School in Radiodiagnostics, Università degli Studi Di Milano, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Gianmarco Della Pepa
- Postgraduate School in Radiodiagnostics, Università degli Studi Di Milano, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Giovanni Irmici
- Postgraduate School in Radiodiagnostics, Università degli Studi Di Milano, Via Festa del Perdono 7, 20122, Milan, Italy
| | - Lidia Rabiolo
- Section of Radiological Sciences, Department of Biomedicine, Neuroscience and Advanced Diagnostics, Università degli Studi di Palermo, Via del Vespro 127, 90127, Palermo, Italy
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9
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Lobefaro R, Mariani L, Peverelli G, Ligorio F, Fucà G, Rametta A, Zattarin E, Leporati R, Presti D, Cantarelli B, Depretto C, Vingiani A, Manoukian S, Scaperrotta G, Bianchi GV, Capri G, Pruneri G, de Braud F, Vernieri C. Efficacy and Safety of First-line Carboplatin-paclitaxel and Carboplatin-gemcitabine in Patients With Advanced Triple-negative Breast Cancer: A Monocentric, Retrospective Comparison. Clin Breast Cancer 2023; 23:e151-e162. [PMID: 36599769 DOI: 10.1016/j.clbc.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/19/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Platinum-based chemotherapy is widely used in patients with advanced triple-negative breast cancer (TNBC). However, the most effective platinum-based combination in the first-line treatment setting remains unclear. MATERIALS AND METHODS We evaluated the efficacy of first-line carboplatin-paclitaxel (CP) or carboplatin-gemcitabine (CG) combinations in advanced TNBC patients treated between April 2007 and April 2021. CP and CG were compared in terms of progression-free survival (PFS), overall survival (OS), and incidence of adverse events (AEs). Multivariable Cox Models were used to adjust the efficacy of CP versus CG for clinically relevant covariates. RESULTS Of 88 consecutive advanced TNBC patients receiving first-line carboplatin-based doublets, 56 (63.6%) received CP and 32 (36.4%) CG. After adjusting for clinically relevant variables, patients receiving CG had significantly better PFS when compared to CP-treated patients (HR: 0.49 (95% CI, 0.27-0.87), P value 0.014). Of note, CG was associated with better PFS only among patients previously treated with taxanes in the (neo)adjuvant setting (HR: 0.39; 95% CI, 0.21-0.75), but not in patients not exposed to taxanes (HR: 1.20; 95% CI, 0.37-3.88). CG was also independently associated with better OS when compared to CP (HR: 0.31 (95% CI: 0.15-0.64), P value 0.002). Overall, grade 3-4 AEs were more common in patients treated with CG than in patients treated with CP (68.8% vs. 21.4%, P value .009). CONCLUSION CG and CP are effective and well tolerated first-line platinum doublets in advanced TNBC patients. CG could be more effective than CP in patients previous exposed to taxanes despite worse toxicity profile.
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Affiliation(s)
- Riccardo Lobefaro
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luigi Mariani
- Unit of Clinical Epidemiology and Trial Organization, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giorgia Peverelli
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Francesca Ligorio
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanni Fucà
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Rametta
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Emma Zattarin
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rita Leporati
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniele Presti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Catherine Depretto
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Vingiani
- Pathology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Department of Oncology and Haematology, University of Milan, Milan, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Giulia V Bianchi
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giuseppe Capri
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giancarlo Pruneri
- Pathology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Department of Oncology and Haematology, University of Milan, Milan, Italy
| | - Filippo de Braud
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Department of Oncology and Haematology, University of Milan, Milan, Italy
| | - Claudio Vernieri
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; IFOM ETS, the AIRC Institute of Molecular Oncology, Milan, Italy.
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10
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De Braud F, Fucà G, Ligorio F, Huber V, Ferraris C, Martelli G, Folli S, Bianchi G, Capri G, Provenzano L, Martinetti A, Ficchì A, Scaperrotta G, Depretto C, Bedognetti D, Belfiore A, Vingiani A, Pruneri G, Rivoltini L, Vernieri C. 82P Cyclic fasting-mimicking diet as a strategy to improve the efficacy of standard antitumor therapies in cancer patients. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.100940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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11
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Di Cosimo S, Depretto C, Miceli R, Baili P, Ljevar S, Sant M, Ferranti C, Folli S, Gennaro M, de Braud FG, Vernieri C, De Santis MC, Lozza L, Vingiani A, Pruneri G, Apolone G, Marchianò A, Scaperrotta GP. Abstract P3-01-12: The impact of COVID-19 on diagnosis of recurrent breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p3-01-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background - Physical distancing for COVID-19 led to decreased in-person patient follow up assessments and delayed imaging appointments. Herein we describe for the first time the impact of delays in diagnostic investigations of patients with an history of early-stage breast cancer (BC) in the largest public cancer center of Lombardy, the Italian region most affected by the pandemic. Methods - This single-institution retrospective study included three observational periods. The first pandemic peak period (March-April 2020) corresponding to the interruption of follow up imaging; the post-peak period (May-December 2020); the pre-pandemic period represented by the five previous years (January 2015- December 2019) as control. The flow of diagnostic activities was compared among the different years. Moreover, the number and characteristics of recurrent BC cases (rBC) diagnosed in the post-peak period were compared to the figures observed in pre-pandemic years, when imaging was regularly carried out, using descriptive statistics. A further comparison was performed between the characteristics of scheduled and delayed rBC diagnosed after the first peak. Results - During the first pandemic peak, diagnostic investigations declined by 81.2% (from 1032 in January-February to 194 in March-April), a drop which was not identified in the same period of the pre-pandemic years, before rebounding to 1065 in May-June, 832 July-August (reflecting the summer physiological drop), 1334 September-October, and 879 November-December. The average number of rBC cases of 16 (range 12-25) in March-April of the pre-pandemic period declined to a value as low as 4 during the first pandemic peak. Thereafter, the number of rBC cases began a steady increase, until reaching a total of 27 in September-October 2020, almost doubling the mean of 14.8 (range 11-21) achieved in the corresponding months of 2015-2019. As a result, the absolute number of rBC cases was 76 in 2020 and on average 78.4 (range 70 - 95) in pre-pandemic years, and the rBC proportion of 1.42% (76/5336; 95% exact confidence interval, CI: 1.12-1.78%) in 2020 was slightly higher than the average proportion of 1.26% of the five previous years, though the latter being well included in the CI of the 2020 proportion. No difference in primary tumor presentation and age at initial diagnosis was found among recurrent patients before and after the pandemic. Of the rBC cases reported during 2020, 10 were from 513 patients with postponed follow up who were finally diagnosed between September-December. As compared to patients on schedule, delayed rBC cases did not present with ductal carcinoma in situ, and reported a median tumor size of 18 mm (range 4.3-90 mm), which was 20% higher than the median of 15 mm (3.1-34) observed for scheduled patients. Distribution of luminal-like, triple negative and HER2-overexpressing BC subtypes among evaluable rBC cases was 75%, 12.5%, 12.5% in scheduled and 66%, 11% and 22% in delayed cases, respectively. Conclusions - Our data showed a slight decrease in the absolute number of rBC during 2020 despite a rebound of examinations, and an increased size of invasive recurrence following the 2-month stop of the first pandemic peak. The full impact of the COVID-19 pandemic on recurrent cancer diagnosis will be known when national population-based data become available in the coming years.
Citation Format: Serena Di Cosimo, Catherine Depretto, Rosalba Miceli, Paolo Baili, Silva Ljevar, Milena Sant, Claudio Ferranti, Secondo Folli, Massimiliano Gennaro, Filippo G de Braud, Claudio Vernieri, Maria Carmen De Santis, Laura Lozza, Andrea Vingiani, Giancarlo Pruneri, Giovanni Apolone, Alfonso Marchianò, Gianfranco P Scaperrotta. The impact of COVID-19 on diagnosis of recurrent breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-01-12.
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Affiliation(s)
| | | | - Rosalba Miceli
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Paolo Baili
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Silva Ljevar
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Milena Sant
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | | | - Secondo Folli
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | | | | | | | | | - Laura Lozza
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Andrea Vingiani
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
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12
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Sardanelli F, Trimboli RM, Houssami N, Gilbert FJ, Helbich TH, Álvarez Benito M, Balleyguier C, Bazzocchi M, Bult P, Calabrese M, Camps Herrero J, Cartia F, Cassano E, Clauser P, Cozzi A, de Andrade DA, de Lima Docema MF, Depretto C, Dominelli V, Forrai G, Girometti R, Harms SE, Hilborne S, Ienzi R, Lobbes MBI, Losio C, Mann RM, Montemezzi S, Obdeijn IM, Ozcan UA, Pediconi F, Pinker K, Preibsch H, Raya Povedano JL, Sacchetto D, Scaperrotta GP, Schiaffino S, Schlooz M, Szabó BK, Taylor DB, Ulus ÖS, Van Goethem M, Veltman J, Weigel S, Wenkel E, Zuiani C, Di Leo G. Magnetic resonance imaging before breast cancer surgery: results of an observational multicenter international prospective analysis (MIPA). Eur Radiol 2021; 32:1611-1623. [PMID: 34643778 PMCID: PMC8831264 DOI: 10.1007/s00330-021-08240-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 07/20/2021] [Accepted: 08/02/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Preoperative breast magnetic resonance imaging (MRI) can inform surgical planning but might cause overtreatment by increasing the mastectomy rate. The Multicenter International Prospective Analysis (MIPA) study investigated this controversial issue. METHODS This observational study enrolled women aged 18-80 years with biopsy-proven breast cancer, who underwent MRI in addition to conventional imaging (mammography and/or breast ultrasonography) or conventional imaging alone before surgery as routine practice at 27 centers. Exclusion criteria included planned neoadjuvant therapy, pregnancy, personal history of any cancer, and distant metastases. RESULTS Of 5896 analyzed patients, 2763 (46.9%) had conventional imaging only (noMRI group), and 3133 (53.1%) underwent MRI that was performed for diagnosis, screening, or unknown purposes in 692/3133 women (22.1%), with preoperative intent in 2441/3133 women (77.9%, MRI group). Patients in the MRI group were younger, had denser breasts, more cancers ≥ 20 mm, and a higher rate of invasive lobular histology than patients who underwent conventional imaging alone (p < 0.001 for all comparisons). Mastectomy was planned based on conventional imaging in 22.4% (MRI group) versus 14.4% (noMRI group) (p < 0.001). The additional planned mastectomy rate in the MRI group was 11.3%. The overall performed first- plus second-line mastectomy rate was 36.3% (MRI group) versus 18.0% (noMRI group) (p < 0.001). In women receiving conserving surgery, MRI group had a significantly lower reoperation rate (8.5% versus 11.7%, p < 0.001). CONCLUSIONS Clinicians requested breast MRI for women with a higher a priori probability of receiving mastectomy. MRI was associated with 11.3% more mastectomies, and with 3.2% fewer reoperations in the breast conservation subgroup. KEY POINTS • In 19% of patients of the MIPA study, breast MRI was performed for screening or diagnostic purposes. • The current patient selection to preoperative breast MRI implies an 11% increase in mastectomies, counterbalanced by a 3% reduction of the reoperation rate. • Data from the MIPA study can support discussion in tumor boards when preoperative MRI is under consideration and should be shared with patients to achieve informed decision-making.
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Affiliation(s)
- Francesco Sardanelli
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy. .,Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy.
| | - Rubina M Trimboli
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Nehmat Houssami
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Fiona J Gilbert
- Department of Radiology, School of Clinical Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Thomas H Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Research Group: Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | | | | | - Massimo Bazzocchi
- Institute of Radiology, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Peter Bult
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Massimo Calabrese
- Unit of Breast Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Francesco Cartia
- Unit of Breast Imaging, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Paola Clauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Research Group: Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Andrea Cozzi
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | | | | | - Catherine Depretto
- Unit of Breast Imaging, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Valeria Dominelli
- Breast Imaging Division, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Gábor Forrai
- Department of Radiology, MHEK Teaching Hospital, Semmelweis University, Budapest, Hungary
| | - Rossano Girometti
- Institute of Radiology, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Steven E Harms
- Breast Center of Northwest Arkansas, Fayetteville, AR, USA
| | - Sarah Hilborne
- Department of Radiology, School of Clinical Medicine, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Raffaele Ienzi
- Department of Radiology, Di.Bi.MED, Università degli Studi di Palermo, Policlinico Universitario Paolo Giaccone, Palermo, Italy
| | - Marc B I Lobbes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Claudio Losio
- Department of Breast Radiology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Ritse M Mann
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Stefania Montemezzi
- Department of Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Inge-Marie Obdeijn
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Umit A Ozcan
- Unit of Radiology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey
| | - Federica Pediconi
- Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Rome, Italy
| | - Katja Pinker
- Department of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Research Group: Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria.,Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heike Preibsch
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | | | - Daniela Sacchetto
- Kiwifarm S.R.L, La Morra, Italy.,Disaster Medicine Service 118, ASL CN1, Saluzzo, Italy.,CRIMEDIM, Research Center in Emergency and Disaster Medicine, Università degli Studi del Piemonte Orientale "Amedeo Avogadro", Novara, Italy
| | | | - Simone Schiaffino
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy
| | - Margrethe Schlooz
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Botond K Szabó
- Department of Radiology, Barking Havering and Redbridge University Hospitals NHS Trust, London, UK
| | - Donna B Taylor
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Australia.,Department of Radiology, Royal Perth Hospital, Perth, Australia
| | - Özden S Ulus
- Unit of Radiology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey
| | - Mireille Van Goethem
- Gynecological Oncology Unit, Department of Obstetrics and Gynecology, Department of Radiology, Multidisciplinary Breast Clinic, Antwerp University Hospital, University of Antwerp, Antwerpen, Belgium
| | - Jeroen Veltman
- Maatschap Radiologie Oost-Nederland, Oldenzaal, The Netherlands
| | - Stefanie Weigel
- Institute of Clinical Radiology and Reference Center for Mammography, University of Münster, Münster, Germany
| | - Evelyn Wenkel
- Department of Radiology, University Hospital of Erlangen, Erlangen, Germany
| | - Chiara Zuiani
- Institute of Radiology, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Giovanni Di Leo
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097, San Donato Milanese, Italy
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Liguori A, Depretto C, Ciniselli CM, Citterio A, Boffelli G, Verderio P, Scaperrotta GP. Contrast-enhanced digital mammography and magnetic resonance imaging: reproducibility compared to pathologic anatomy. Tumori 2021; 108:563-571. [PMID: 34628982 DOI: 10.1177/03008916211050124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
PURPOSE To compare the reproducibility between contrast-enhanced digital mammography (CEDM) and magnetic resonance imaging (MRI) with the postsurgical pathologic examination. In addition, the applicability of the Breast Imaging-Reporting and Data System (BI-RADS) lexicon of MRI to CEDM was evaluated for mass lesions. METHODS A total of 62 patients with a histologically proven diagnosis of breast cancer were included in this study, for a total of 67 lesions. Fifty-nine patients underwent both methods. The reproducibility between MRI vs CEDM and the reference standard (postoperative pathology) was assessed by considering the lesion and breast size as pivotal variables. Reproducibility was evaluated by computing the concordance correlation coefficient (CCC). Bland-Altman plots were used to depict the observed pattern of agreement as well as to estimate the associated bias. Furthermore, the pattern of agreement between the investigated methods with regard to the breast lesion characterization (i.e. mass/nonmass; shape; margins; internal enhanced characteristics) was assessed by computing the Cohen kappa and its 95% confidence interval (CI). RESULTS The reproducibility between MRI and the reference standard and between CEDM and the reference standard showed substantial agreement, with a CCC value of 0.956 (95% CI, 0.931-0.972) and 0.950 (95% CI, 0.920-0.969), respectively. By looking at the Bland-Altman analysis, bias values of 2.344 and 1.875 mm were observed for MRI and CEDM vs reference evaluation, respectively. The agreement between MRI and CEDM is substantial with a CCC value of 0.969 (95% CI, 0.949-0.981). The Bland-Altman analysis showed bias values of -0.469 mm when comparing CEDM vs MRI. Following the Landis and Koch classification criteria, moderate agreement was observed between the two methods in describing BI-RADS descriptors of mass lesions. CONCLUSION CEDM is able to measure and describe tumor masses comparably to MRI and can be used for surgical planning.
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Affiliation(s)
- Alessandro Liguori
- Breast Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.,Breast Radiology, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico Mangiagalli Center, Milano, Lombardia, Italy
| | - Catherine Depretto
- Breast Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy
| | - Chiara Maura Ciniselli
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Andrea Citterio
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Giulia Boffelli
- Radiology Piazza OMS 1, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy
| | - Paolo Verderio
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
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14
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Scaperrotta GP, Boffelli G, Depretto C, Di Leo G, Liguori A, Monaco CG, Anna B, Ferranti C. Guiding vacuum-assisted biopsy in prone position: digital breast tomosynthesis vs stereotactic. Tumori 2021; 108:326-330. [PMID: 34041978 DOI: 10.1177/03008916211016101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE To compare the performance of prone digital breast tomosynthesis (DBT)-vacuum-assisted biopsy (VAB) with prone stereotactic-guided VAB (sVAB), focusing on time of procedure, number of expositions, average glandular dose, and complications. METHODS The institutional review board approved this retrospective study and informed consent was waived. From July 2015 to January 2017, 306 patients with 306 suspicious mammographic findings (BI-RADS ⩾4) underwent mammography-guided biopsy, prone sVAB, or prone DBT-VAB. Student t test, chi-square, and multivariate regression statistics were used. RESULTS During the study period, 155 prone sVAB procedures in 155 patients (mean age, 56 years; age range, 39-84 years) and 151 DBT-VABs in 151 patients (mean age, 57 years; age range, 33-84 years) were performed. Mean procedure time was shorter with DBT-VAB versus sVAB (14.5 versus 17.4 minutes, respectively; p < 0.001), and fewer images were acquired with DBT-VAB versus sVAB (8 vs 11, respectively; p < 0.001); the average glandular dose was significantly lower in DBT-VAB versus sVAB (11.8 mGy versus 18 mGy, respectively; p < 0.001). There were no differences in the distribution of histologic results (p = 0.74) or breast density (p = 0.09) between the two groups. No major complications were observed in either group. CONCLUSION Performance of prone DBT-VAB was superior to prone sVAB because it allowed a faster procedure with fewer radiologic expositions and lower radiation dose.
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15
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Reduzzi C, Di Cosimo S, Gerratana L, Motta R, Martinetti A, Vingiani A, D’Amico P, Zhang Y, Vismara M, Depretto C, Scaperrotta G, Folli S, Pruneri G, Cristofanilli M, Daidone MG, Cappelletti V. Circulating Tumor Cell Clusters Are Frequently Detected in Women with Early-Stage Breast Cancer. Cancers (Basel) 2021; 13:cancers13102356. [PMID: 34068368 PMCID: PMC8153325 DOI: 10.3390/cancers13102356] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/29/2021] [Accepted: 05/10/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Metastases cause the majority of breast cancer-related deaths. Circulating tumor cells (CTCs), and in particular CTC-clusters, are considered the seeds of metastasis, but their analysis in the early-stages of the disease has so far been limited by the fact that, by using conventional and epithelial-based technologies (as the FDA-approved CellSearch platform), they are more often detected in the metastatic setting. It is known, however, that cancer cells are heterogeneous and can downregulate the expression of epithelial markers, thus limiting the detection capability of epithelial-based technologies. Here, we show that it is possible to increase CTC-cluster detection by using an epithope-independent technology based on blood filtration, and in particular that this strategy allows to detect a high number of CTC-clusters in stage II-III breast cancer patients, before and during neoadjuvant treatment. Our results therefore offer a new opportunity to deepen our understanding of the cancer dissemination process in its early steps. Abstract The clinical relevance of circulating tumor cell clusters (CTC-clusters) in breast cancer (BC) has been mostly studied using the CellSearch®, a marker-dependent method detecting only epithelial-enriched clusters. However, due to epithelial-to-mesenchymal transition, resorting to marker-independent approaches can improve CTC-cluster detection. Blood samples collected from healthy donors and spiked-in with tumor mammospheres, or from BC patients, were processed for CTC-cluster detection with 3 technologies: CellSearch®, CellSieve™ filters, and ScreenCell® filters. In spiked-in samples, the 3 technologies showed similar recovery capability, whereas, in 19 clinical samples processed in parallel with CellSearch® and CellSieve™ filters, filtration allowed us to detect more CTC-clusters than CellSearch® (median number = 7 versus 1, p = 0.0038). Next, samples from 37 early BC (EBC) and 23 metastatic BC (MBC) patients were processed using ScreenCell® filters for attaining both unbiased enrichment and marker-independent identification (based on cytomorphological criteria). At baseline, CTC-clusters were detected in 70% of EBC cases and in 20% of MBC patients (median number = 2, range 0–20, versus 0, range 0–15, p = 0.0015). Marker-independent approaches for CTC-cluster assessment improve detection and show that CTC-clusters are more frequent in EBC than in MBC patients, a novel finding suggesting that dissemination of CTC-clusters is an early event in BC natural history.
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Affiliation(s)
- Carolina Reduzzi
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.R.); (S.D.C.); (R.M.); (M.V.); (M.G.D.)
- Robert H. Lurie Comprehensive Cancer Center, Department of Medicine-Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (L.G.); (P.D.); (Y.Z.); (M.C.)
| | - Serena Di Cosimo
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.R.); (S.D.C.); (R.M.); (M.V.); (M.G.D.)
| | - Lorenzo Gerratana
- Robert H. Lurie Comprehensive Cancer Center, Department of Medicine-Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (L.G.); (P.D.); (Y.Z.); (M.C.)
- Department of Medicine (DAME), University of Udine, 33100 Udine, Italy
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Rosita Motta
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.R.); (S.D.C.); (R.M.); (M.V.); (M.G.D.)
| | - Antonia Martinetti
- Medical Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy;
| | - Andrea Vingiani
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giacomo Venezian 1, 20133 Milan, Italy; (A.V.); (G.P.)
- Oncology and Hemato-Oncology Department, University of Milan, Via Festa del Perdono 7, 20122 Milano, Italy
| | - Paolo D’Amico
- Robert H. Lurie Comprehensive Cancer Center, Department of Medicine-Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (L.G.); (P.D.); (Y.Z.); (M.C.)
- New Drugs and Early Drug Development for Innovative Therapies Division, IEO, European Institute of Oncology IRCCS, 20133 Milan, Italy
| | - Youbin Zhang
- Robert H. Lurie Comprehensive Cancer Center, Department of Medicine-Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (L.G.); (P.D.); (Y.Z.); (M.C.)
| | - Marta Vismara
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.R.); (S.D.C.); (R.M.); (M.V.); (M.G.D.)
| | - Catherine Depretto
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.D.); (G.S.)
| | - Gianfranco Scaperrotta
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.D.); (G.S.)
| | - Secondo Folli
- Breast Cancer Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy;
| | - Giancarlo Pruneri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giacomo Venezian 1, 20133 Milan, Italy; (A.V.); (G.P.)
- Oncology and Hemato-Oncology Department, University of Milan, Via Festa del Perdono 7, 20122 Milano, Italy
| | - Massimo Cristofanilli
- Robert H. Lurie Comprehensive Cancer Center, Department of Medicine-Hematology and Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (L.G.); (P.D.); (Y.Z.); (M.C.)
| | - Maria Grazia Daidone
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.R.); (S.D.C.); (R.M.); (M.V.); (M.G.D.)
| | - Vera Cappelletti
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (C.R.); (S.D.C.); (R.M.); (M.V.); (M.G.D.)
- Correspondence: ; Tel.: +39-022390-2700
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Di Cosimo S, Depretto C, Miceli R, Baili P, Sant M, Pruneri G, Vingiani A, Folli S, Bini M, De Santis M, Scaperrotta G. 64P Mammographic density to predict response to neoadjuvant chemotherapy for breast cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.03.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Avola E, Giannetta V, Depretto C, Scaperrotta GP. Uncommon site of metastatic neuroblastoma in a 15-year-old girl: case report and description of sonographic and radiographic features. Tumori 2021; 107:NP59-NP62. [PMID: 33759659 DOI: 10.1177/03008916211002260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Although most breast masses in children are benign, breast cancer must be considered in the differential diagnosis. The majority are represented by sarcomas and secondary lesions. Literature reports only four cases of neuroblastoma breast metastasis, with no emphasis on radiologic features. Our work aims to furnish a description of radiologic and sonographic features of neuroblastoma metastasis in the breast. CASE DESCRIPTION A 15-year-old girl had a round nodular mass in the outer upper quadrant of the left breast that had rapidly enlarged over the last month. An ultrasound showed two subcutaneous nodules (3.8 cm and 1.3 cm in maximum diameter), with an irregular shape, heterogeneous echogenicity (isohypoechoic), and hyperechoic foci with a posterior acoustic shadow inside. Overall, the features were highly suspicious of secondary malignant lesions. Computed tomographic scan was performed and found a large retroperitoneal mass and multiple mixed secondary lesions to the spine and hip. A 14G core needle biopsy of breast masses was performed and showed a secondary localization of neuroblastoma. CONCLUSIONS In adolescents, metastases are the most frequent cause of malignant breast masses. Ultrasound examination should be preferred as the first imaging tool. For the differential diagnosis of breast metastasis with benign masses, a rapid enlargement, a heterogeneous echogenicity, and intralesional hyperechogenic foci could be considered features of malignancy.
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Affiliation(s)
- Emanuele Avola
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
| | - Vincenzo Giannetta
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy
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Depretto C, Liguori A, Primolevo A, Di Cosimo S, Cartia F, Ferranti C, Scaperrotta GP. Automated breast ultrasound compared to hand-held ultrasound in surveillance after breast-conserving surgery. Tumori 2020; 107:132-138. [PMID: 32552398 DOI: 10.1177/0300891620930278] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE To investigate the agreement between automated breast ultrasound (ABUS) and hand-held ultrasound (HHUS) in surveillance of women with a history of breast cancer in terms of recurrences or new ipsilateral or contralateral breast cancer. METHODS The institutional review board approved this retrospective study and informed consent was waived. From April to June 2016, women with dense breasts undergoing annual surveillance with mammography and HHUS after breast-conserving surgery were offered supplemental ABUS (Invenia). HHUS was performed by a breast radiologist and ABUS by a trained technician. Images were reviewed by 2 breast radiologists. A per-patient BI-RADS category was independently assigned in all cases and categories were dichotomized into negative (1, 2, 3) and positive (4, 5). Cohen κ, McNemar, and Wilcoxon statistics were used. Final pathology was used as reference standard for malignant lesions. RESULTS A total of 154 women (mean age 62±11 years) were enrolled. Time from surgery was a mean of 8±6 years. Cancer prevalence was 4/154 (2.6%). Interreader agreement for ABUS was 1. Intermethod interreader agreement for HHUS and ABUS was substantial for BI-RADS categories (κ = 0.785) and for dichotomic assessment (κ = 0.794). There was no difference in dichotomic assignment between 2 readers (p = 0.5) but a significant difference in assigning BI-RADS categories (p < 0.05). CONCLUSIONS A substantial agreement resulted between HHUS and ABUS in surveillance of women with a previous history of breast cancer. In particular, ABUS recognized all cancers detected by HHUS and could play a role in first-level surveillance of women at intermediate risk.
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Affiliation(s)
| | | | | | - Serena Di Cosimo
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Francesco Cartia
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Claudio Ferranti
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
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Depretto C, Borelli A, Liguori A, Presti G, Vingiani A, Cartia F, Ferranti C, Scaperrotta GP. Contrast-enhanced mammography in the evaluation of breast calcifications: preliminary experience. Tumori 2020; 106:491-496. [PMID: 32515663 DOI: 10.1177/0300891620919170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
AIM To evaluate the presence of contrast enhancement at the site of calcifications on contrast-enhanced mammography (CEM) and histopathologic results at vacuum-assisted biopsy (VAB), and to examine the association with lesion size and immunohistochemical characteristics, in order to assess disease aggressiveness in malignant lesions. METHODS A total of 34 patients with 36 clusters of suspicious calcifications (BI-RADS 4) were investigated with CEM before the scheduled VAB. We evaluated the presence or absence of enhancement, histologic diagnosis, and, in case of malignant lesions, their size and the expression of Ki-67. RESULTS In our case series, 15/36 (41.7%) lesions were malignant. In 7 cases, contrast enhancement was found at the site of calcifications. Data about size of lesions and immunohistochemical characterization were not available for all malignant cases. In 5 cases with CEM enhancement, all lesions were >5 mm and overexpressing Ki-67 (>20%); in 6 cases with no contrast enhancement, the lesions were <5 mm and with low Ki-67 values (<20%). CONCLUSION Our preliminary study provides indications on the ability of CEM to recognize neoplasms larger than 5 mm, with high proliferative index (Ki-67 >20%), and frequently human epidermal growth factor receptor 2-positive. Our preliminary results suggest that CEM could detect aggressive malignancies. This could be the starting point for planning further studies with larger numbers of cases, in an attempt to reduce overdiagnosis and consequent overtreatment.
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Affiliation(s)
| | | | | | | | - Andrea Vingiani
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Francesco Cartia
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Claudio Ferranti
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
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Foglia E, Marinelli S, Garagiola E, Ferrario L, Depretto C, Cartia F, Ferranti C, Porazzi E, Scaperrotta G. Budget impact analysis of breast cancer screening in Italy: The role of new technologies. Health Serv Manage Res 2020; 33:66-75. [PMID: 32241188 DOI: 10.1177/0951484819870963] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Although mammography screening significantly reduces breast cancer mortality, women could present different morphological characteristics that do not allow the correct vision of their breasts and the detection of cancer, resulting in a delay of diagnosis and an increase in the risk of mortality. The present study aims at analyzing potential areas of improvement of the current screening programs and then hypothesizing alternative technologies to use within the diagnostic phase, from an economic point of view. A Budget Impact Analysis approach was implemented, considering the Italian National Healthcare Service perspective, and representing the healthcare expenditure evolution, over three years. In the Budget Impact Analysis model, two distinct phases of the screening programs were considered: (1) the screening/diagnosis phase and (2) the phase related to cancer care and treatments of patients. The results provide clinicians and policy makers with a rational method to forecast economic resources in the screening programs in a general context of limited resources. In particular, results of the Budget Impact Analysis showed that, while the introduction of the ABUS InveniaTM technology into the screening programs would lead to an increase in the screening phase expenditure, it would generate an economic advantage related to the patients treatment and care.
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Affiliation(s)
- Emanuela Foglia
- Centre for Health Economics, Social and Health Care Management, LIUC - Università Cattaneo, Castellanza, Italy
| | - Sissi Marinelli
- Centre for Health Economics, Social and Health Care Management, LIUC - Università Cattaneo, Castellanza, Italy
| | - Elisabetta Garagiola
- Centre for Health Economics, Social and Health Care Management, LIUC - Università Cattaneo, Castellanza, Italy
| | - Lucrezia Ferrario
- Centre for Health Economics, Social and Health Care Management, LIUC - Università Cattaneo, Castellanza, Italy
| | | | | | | | - Emanuele Porazzi
- Centre for Health Economics, Social and Health Care Management, LIUC - Università Cattaneo, Castellanza, Italy
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Amato F, Bicchierai G, Cirone D, Depretto C, Di Naro F, Vanzi E, Scaperrotta G, Bartolotta TV, Miele V, Nori J. Preoperative loco-regional staging of invasive lobular carcinoma with contrast-enhanced digital mammography (CEDM). Radiol Med 2019; 124:1229-1237. [PMID: 31773458 DOI: 10.1007/s11547-019-01116-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/15/2019] [Indexed: 12/15/2022]
Abstract
The aim of our study was to assess the performance of contrast-enhanced digital mammography (CEDM) in the preoperative loco-regional staging of invasive lobular carcinoma (ILC) patients, about the valuation of the extension of disease and in measurement of lesions. Then, we selected retrospectively, among the 1500 patients underwent to CEDM at the Breast Diagnostics Department of the Careggi University Hospital of Florence and the National Cancer Institute of Milan from September 2016 to November 2018, 31 women (mean age 57.1 aa; range 41-78 aa) with a definitive histological diagnosis of ILC. CEDM has proved to be a promising imaging technique, being characterized by a sensitivity of 100% in the detection of the index lesion, and of 84.2% in identifying any adjunctive lesions: It was the presence of a non-mass enhancement (NME) to lower the sensitivity of the technique (25% vs. 100% for mass-like enhancements or a mass closely associated with a NME). Specificity in the characterization of additional lesions was 66.7%, and the diagnosis of the extension of disease was correct in 77.4% of cases: NME also led to a decrease in diagnostic accuracy in the evaluation of disease extension up to 40% versus 85% for masses and 80% for masses associated with NME (M/NME). Moreover, in 12/31 (38.7%), CEDM allowed to correctly identify lesions not shown by mammography + ultrasonography + tomosynthesis: In the half of these (6/12), there was a multicentricity, thus allowing an adequate surgical planning change. CEDM was also very accurate in analyzing the maximum diameter of the masses, while it was much less reliable in the case of the M/NME and pure NME. In conclusion, CEDM is a new promising imaging technique in the loco-regional preoperative staging and in the evaluation of disease extension for ILC, especially in case of mass enhancement lesions.
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Affiliation(s)
- Francesco Amato
- Department of Radiology, University of Palermo, Palermo, Italy
| | - Giulia Bicchierai
- Diagnostic Senology Unit, Azienda Ospedaliero-Universitaria Careggi, Largo G. A. Brambilla 3, 50134, Florence, Italy.
| | - Donatello Cirone
- General Management Staff, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Catherine Depretto
- Breast Imaging Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Federica Di Naro
- Diagnostic Senology Unit, Azienda Ospedaliero-Universitaria Careggi, Largo G. A. Brambilla 3, 50134, Florence, Italy
| | - Ermanno Vanzi
- Diagnostic Senology Unit, Azienda Ospedaliero-Universitaria Careggi, Largo G. A. Brambilla 3, 50134, Florence, Italy
| | | | | | - Vittorio Miele
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Jacopo Nori
- Diagnostic Senology Unit, Azienda Ospedaliero-Universitaria Careggi, Largo G. A. Brambilla 3, 50134, Florence, Italy
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