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1,645 results on '"Sardanelli, Francesco"'

204. Computation of contrast-enhanced perfusion using only two CT scan phases: a proof-of-concept study on abdominal organs

Author

Cressoni, M, Cozzi, A, Schiaffino, S, Cadringher, P, Vitali, P, Basso, G, Ippolito, D, Sardanelli, F, Cressoni, Massimo, Cozzi, Andrea, Schiaffino, Simone, Cadringher, Paolo, Vitali, Paolo, Basso, Gianpaolo, Ippolito, Davide, Sardanelli, Francesco, Cressoni, M, Cozzi, A, Schiaffino, S, Cadringher, P, Vitali, P, Basso, G, Ippolito, D, Sardanelli, F, Cressoni, Massimo, Cozzi, Andrea, Schiaffino, Simone, Cadringher, Paolo, Vitali, Paolo, Basso, Gianpaolo, Ippolito, Davide, and Sardanelli, Francesco

Abstract

Background: Computed tomography perfusion imaging (CTPI) by repeated scanning has clinical relevance but implies relatively high radiation exposure. We present a method to measure perfusion from two CT scan phases only, considering tissue enhancement, feeding vessel (aortic) peak enhancement, and bolus shape. Methods: CTPI scans (each with 40 frames acquired every 1.5 s) of 11 patients with advanced hepatocellular carcinoma (HCC) enrolled between 2012 and 2016 were retrospectively analysed (aged 69 ± 9 years, 8/11 males). Perfusion was defined as the maximal slope of the time-enhancement curve divided by the peak enhancement of the feeding vessel (aorta). Perfusion was computed two times, first using the maximum slope derived from all data points and then using the peak tissue enhancement and the bolus shape obtained from the aortic curve. Results: Perfusion values from the two methods were linearly related (r2 = 0.92, p < 0.001; Bland–Altman analysis bias -0.12). The mathematical model showed that the perfusion ratio of two ROIs with the same feeding vessel (aorta) corresponds to their peak enhancement ratio (r2 = 0.55, p < 0.001; Bland–Altman analysis bias -0.68). The relationship between perfusion and tissue enhancement is predicted to be linear in the clinical range of interest, being only function of perfusion, peak feeding vessel enhancement, and bolus shape. Conclusions: This proof-of-concept study showed that perfusion values of HCC, kidney, and pancreas could be computed using enhancement measured only with two CT scan phases, if aortic peak enhancement and bolus shape are known.

Published
2022

205. Magnetic resonance imaging before breast cancer surgery:results of an observational multicenter international prospective analysis (MIPA)

Author

Sardanelli, Francesco, Trimboli, Rubina M., Houssami, Nehmat, Gilbert, Fiona J., Helbich, Thomas H., Álvarez Benito, Marina, Balleyguier, Corinne, Bazzocchi, Massimo, Bult, Peter, Calabrese, Massimo, Camps Herrero, Julia, Cartia, Francesco, Cassano, Enrico, Clauser, Paola, Cozzi, Andrea, de Andrade, Danúbia A., de Lima Docema, Marcos F., Depretto, Catherine, Dominelli, Valeria, Forrai, Gábor, Girometti, Rossano, Harms, Steven E., Hilborne, Sarah, Ienzi, Raffaele, Lobbes, Marc B.I., Losio, Claudio, Mann, Ritse M., Montemezzi, Stefania, Obdeijn, Inge Marie, Ozcan, Umit A., Pediconi, Federica, Pinker, Katja, Preibsch, Heike, Raya Povedano, José L., Sacchetto, Daniela, Scaperrotta, Gianfranco P., Schiaffino, Simone, Schlooz, Margrethe, Szabó, Botond K., Taylor, Donna B., Ulus, Özden S., Van Goethem, Mireille, Veltman, Jeroen, Weigel, Stefanie, Wenkel, Evelyn, Zuiani, Chiara, Di Leo, Giovanni, Sardanelli, Francesco, Trimboli, Rubina M., Houssami, Nehmat, Gilbert, Fiona J., Helbich, Thomas H., Álvarez Benito, Marina, Balleyguier, Corinne, Bazzocchi, Massimo, Bult, Peter, Calabrese, Massimo, Camps Herrero, Julia, Cartia, Francesco, Cassano, Enrico, Clauser, Paola, Cozzi, Andrea, de Andrade, Danúbia A., de Lima Docema, Marcos F., Depretto, Catherine, Dominelli, Valeria, Forrai, Gábor, Girometti, Rossano, Harms, Steven E., Hilborne, Sarah, Ienzi, Raffaele, Lobbes, Marc B.I., Losio, Claudio, Mann, Ritse M., Montemezzi, Stefania, Obdeijn, Inge Marie, Ozcan, Umit A., Pediconi, Federica, Pinker, Katja, Preibsch, Heike, Raya Povedano, José L., Sacchetto, Daniela, Scaperrotta, Gianfranco P., Schiaffino, Simone, Schlooz, Margrethe, Szabó, Botond K., Taylor, Donna B., Ulus, Özden S., Van Goethem, Mireille, Veltman, Jeroen, Weigel, Stefanie, Wenkel, Evelyn, Zuiani, Chiara, and Di Leo, Giovanni

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 preoperat

Published
2022

208. Breast MRI: EUSOBI recommendations for women’s information

Author

Mann, Ritse M., Balleyguier, Corinne, Baltzer, Pascal A., Bick, Ulrich, Colin, Catherine, Cornford, Eleanor, Evans, Andrew, Fallenberg, Eva, Forrai, Gabor, Fuchsjäger, Michael H., Gilbert, Fiona J., Helbich, Thomas H., Heywang-Köbrunner, Sylvia H., Camps-Herrero, Julia, Kuhl, Christiane K., Martincich, Laura, Pediconi, Federica, Panizza, Pietro, Pina, Luis J., Pijnappel, Ruud M., Pinker-Domenig, Katja, Skaane, Per, Sardanelli, Francesco, and for the European Society of Breast Imaging (EUSOBI), with language review by Europa Donna–The European Breast Cancer Coalition

Published
2015
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235. Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus

Author

Magni, Veronica, primary, Interlenghi, Matteo, additional, Cozzi, Andrea, additional, Alì, Marco, additional, Salvatore, Christian, additional, Azzena, Alcide A., additional, Capra, Davide, additional, Carriero, Serena, additional, Della Pepa, Gianmarco, additional, Fazzini, Deborah, additional, Granata, Giuseppe, additional, Monti, Caterina B., additional, Muscogiuri, Giulia, additional, Pellegrino, Giuseppe, additional, Schiaffino, Simone, additional, Castiglioni, Isabella, additional, Papa, Sergio, additional, and Sardanelli, Francesco, additional

Published
2022
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236. CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

Author

Bonmatí, Luis Martí, primary, Miguel, Ana, additional, Suárez, Amelia, additional, Aznar, Mario, additional, Beregi, Jean Paul, additional, Fournier, Laure, additional, Neri, Emanuele, additional, Laghi, Andrea, additional, França, Manuela, additional, Sardanelli, Francesco, additional, Penzkofer, Tobias, additional, Lambin, Phillipe, additional, Blanquer, Ignacio, additional, Menzel, Marion I., additional, Seymour, Karine, additional, Figueiras, Sergio, additional, Krischak, Katharina, additional, Martínez, Ricard, additional, Mirsky, Yisroel, additional, Yang, Guang, additional, and Alberich-Bayarri, Ángel, additional

Published
2022
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237. A Combined Deep Learning System for Automatic Detection of “Bovine” Aortic Arch on Computed Tomography Scans

Author

Secchi, Francesco, primary, Interlenghi, Matteo, additional, Alì, Marco, additional, Schiavon, Elia, additional, Monti, Caterina Beatrice, additional, Capra, Davide, additional, Salvatore, Christian, additional, Castiglioni, Isabella, additional, Papa, Sergio, additional, Sardanelli, Francesco, additional, and Marrocco-Trischitta, Massimiliano M., additional

Published
2022
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238. A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses

Author

Interlenghi, Matteo, primary, Salvatore, Christian, additional, Magni, Veronica, additional, Caldara, Gabriele, additional, Schiavon, Elia, additional, Cozzi, Andrea, additional, Schiaffino, Simone, additional, Carbonaro, Luca Alessandro, additional, Castiglioni, Isabella, additional, and Sardanelli, Francesco, additional

Published
2022
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239. B3 Lesions at Vacuum-Assisted Breast Biopsy under Ultrasound or Mammography Guidance: A Single-Center Experience on 3634 Consecutive Biopsies

Author

Girardi, Veronica, Guaragni, Monica, Ruzzenenti, Nella, Palmieri, Fabrizio, Fogazzi, Gianluca, Cozzi, Andrea, Lucchini, Diana, Buffoli, Alberto, Schiaffino, Simone, and Sardanelli, Francesco

Subjects
high-risk lesions, mammography, underestimation, upgrade rate, breast neoplasms, image-guided biopsy, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, ultrasonography, B3 lesions, Article, RC254-282, vacuum-assisted biopsy (VAB)
Abstract

Simple Summary Image-guided biopsy of suspicious findings at mammography or breast ultrasonography can result in the diagnosis of lesions with uncertain malignant potential (B3 lesions). These, in turn, can turn out to be cancer (i.e., they are upgraded) when larger specimens of tissue are examined after breast surgery, especially if these lesions belong to the B3b subcategory, characterized by a higher probability of malignancy than the B3a subcategory. This uncertain nature makes their management highly controversial. We aimed to report a particularly large series of B3 lesions—coming from an internationally certified Breast Unit—since such series are seldom available. In this series of 3634 consecutive biopsies, we found 604 B3 lesions, of which 17 (2.8%) were upgraded to malignancy after surgery. B3b lesions had an almost 12-fold higher upgrade rate (4.7%) than B3a lesions (0.4%), reinforcing the evidence that recommends surgery for B3b lesions and acknowledges the possibility of active surveillance of B3a lesions. Abstract The rate of upgrade to cancer for breast lesions with uncertain malignant potential (B3 lesions) diagnosed at needle biopsy is highly influenced by several factors, but large series are seldom available. We retrospectively assessed the upgrade rates of a consecutive series of B3 lesions diagnosed at ultrasound- or mammography-guided vacuum-assisted biopsy (VAB) at an EUSOMA-certified Breast Unit over a 7-year timeframe. The upgrade rate was defined as the number of ductal carcinoma in situ (DCIS) or invasive cancer at pathology after excision or during follow-up divided by the total number of B3 lesions. All lesions were reviewed by one of four pathologists with a second opinion for discordant assessments of borderline cases. Excision or surveillance were defined by the multidisciplinary tumor board, with 6- and 12-month follow-up. Out of 3634 VABs (63% ultrasound-guided), 604 (17%) yielded a B3 lesion. After excision, 17/604 B3 lesions were finally upgraded to malignancy (2.8%, 95% confidence interval [CI] 1.8–4.5%), 10/17 (59%) being upgraded to DCIS and 7/17 (41%) to invasive carcinoma. No cases were upgraded during follow-up. B3a lesions showed a significantly lower upgrade rate (0.4%, 95% CI 0.1–2.1%) than B3b lesions (4.7%, 95% CI 2.9–7.5%, p = 0.001), that had a 22.0 adjusted odds ratio for upgrade (95% CI 2.1–232.3). No significant difference was found in upgrade rates according to imaging guidance or needle caliper. Surveillance-oriented management can be considered for B3a lesions, while surgical excision should be pursued for B3b lesions.

Published
2021

249. A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses

Author

Interlenghi, Matteo, primary, Salvatore, Christian, additional, Magni, Veronica, additional, Caldara, Gabriele, additional, Schiavon, Elia, additional, Cozzi, Andrea, additional, Schiaffino, Simone, additional, Carbonaro, Luca Alessandro, additional, Castiglioni, Isabella, additional, and Sardanelli, Francesco, additional

Published
2021
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250. Diagnostic Performance of Deep LearnIng AlgoriThm for Analysis of Computed Tomography Myocardial PerfusION

Author

Muscogiuri, Giuseppe, primary, Chiesa, Mattia, additional, Baggiano, Andrea, additional, Spadafora, Pierino, additional, De Santis, Rossella, additional, Guglielmo, Marco, additional, Scafuri, Stefano, additional, Fusini, Laura, additional, Mushtaq, Saima, additional, Conte, Edoardo, additional, Annoni, Andrea, additional, Formenti, Alberto, additional, Mancini, Maria Elisabetta, additional, Ricci, Francesca, additional, Ariano, Francesco Paolo, additional, Spiritigliozzi, Luigi, additional, Babbaro, Mario, additional, Mollace, Rocco, additional, Maragna, Riccardo, additional, Giacari, Carlo Maria, additional, Andreini, Daniele, additional, Guaricci, Andrea Igoren, additional, Colombo, Gualtiero I., additional, Rabbat, Mark G., additional, Pepi, Mauro, additional, Sardanelli, Francesco, additional, and Pontone, Gianluca, additional

Published
2021
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