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Dive into the research topics where Paolo Belli is active.

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Featured researches published by Paolo Belli.


Investigative Radiology | 2011

Multicenter surveillance of women at high genetic breast cancer risk using mammography, ultrasonography, and contrast-enhanced magnetic resonance imaging (the high breast cancer risk italian 1 study): final results.

Francesco Sardanelli; Franca Podo; Filippo Santoro; Siranoush Manoukian; Silvana Bergonzi; Giovanna Trecate; Daniele Vergnaghi; Massimo Federico; Laura Cortesi; Stefano Corcione; Sandro Morassut; Cosimo Di Maggio; Cilotti A; Laura Martincich; M. Calabrese; Chiara Zuiani; Lorenzo Preda; Bernardo Bonanni; Luca A. Carbonaro; A. Contegiacomo; Pietro Panizza; Ernesto Di Cesare; Antonella Savarese; Marcello Crecco; Daniela Turchetti; Maura Tonutti; Paolo Belli; Alessandro Del Maschio

Objectives:To prospectively compare clinical breast examination, mammography, ultrasonography, and contrast-enhanced magnetic resonance imaging (MRI) in a multicenter surveillance of high-risk women. Materials and Methods:We enrolled asymptomatic women aged ≥25: BRCA mutation carriers; first-degree relatives of BRCA mutation carriers, and women with strong family history of breast/ovarian cancer, including those with previous personal breast cancer. Results:A total of 18 centers enrolled 501 women and performed 1592 rounds (3.2 rounds/woman). Forty-nine screen-detected and 3 interval cancers were diagnosed: 44 invasive, 8 ductal carcinoma in situ; only 4 pT2 stage; 32 G3 grade. Of 39 patients explored for nodal status, 28 (72%) were negative. Incidence per year-woman resulted 3.3% overall, 2.1% <50, and 5.4% ≥50 years (P < 0.001), 4.3% in women with previous personal breast cancer and 2.5% in those without (P = 0.045). MRI was more sensitive (91%) than clinical breast examination (18%), mammography (50%), ultrasonography (52%), or mammography plus ultrasonography (63%) (P < 0.001). Specificity ranged 96% to 99%, positive predictive value 53% to 71%, positive likelihood ratio 24 to 52 (P not significant). MRI showed significantly better negative predictive value (99.6) and negative likelihood ratio (0.09) than those of the other modalities. At receiver operating characteristic analysis, the area under the curve of MRI (0.97) was significantly higher than that of mammography (0.83) or ultrasonography (0.82) and not significantly increased when MRI was combined with mammography and/or ultrasonography. Of 52 cancers, 16 (31%) were diagnosed only by MRI, 8 of 21 (38%) in women <50, and 8 of 31 (26%) in women ≥50 years of age. Conclusion:MRI largely outperformed mammography, ultrasonography, and their combination for screening high-risk women below and over 50.


Journal of Ultrasound in Medicine | 2006

Characterization of Solid Breast Masses Use of the Sonographic Breast Imaging Reporting and Data System Lexicon

Melania Costantini; Paolo Belli; Roberta Lombardi; Gianluca Franceschini; Antonino Mulè; Lorenzo Bonomo

Objective. The purpose of this study was to determine the reliability of sonographic American College of Radiology Breast Imaging Reporting And Data System (BI‐RADS) classification in differentiating benign from malignant breast masses. Methods. One hundred seventy‐eight breast masses studied by sonography with a known diagnosis were reviewed. All lesions were classified according to the sonographic BI‐RADS lexicon. Pathologic results were compared with sonographic features. Sensitivity, specificity, accuracy, and positive predictive value (PPV) and negative predictive value (NPV) for the sonographic BI‐RADS lexicon were calculated. Results. Twenty‐six cases were assigned to class 3, 73 to class 4, and 79 to class 5. Pathologic results revealed 105 malignant and 73 benign lesions. The sonographic BI‐RADS lexicon showed 71.3% accuracy, 98.1% sensitivity, 32.9% specificity, 67.8% PPV, and 92.3% NPV. The NPV for class 3 was 92.3%. The PPVs for classes 4 and 5 were 46.6% and 87.3%. Typical signs of malignancy were irregular shape, antiparallel orientation, noncircumscribed margin, echogenic halo, and decreased sound transmission. Typical signs of benignity were oval shape and circumscribed margin. Conclusions. The sonographic BI‐RADS lexicon is an important system for describing and classifying breast lesions.


Breast Cancer Research and Treatment | 2002

Magnetic resonance imaging in breast cancer recurrence.

Paolo Belli; Melania Costantini; M. Romani; Pasquale Marano; Pastore G

AbstractPurpose. To determine the sensitivity, specificity and accuracy of magnetic resonance imaging (MRI) in detecting breast cancer recurrence. Materials and methods. Forty women conservatively treated for breast cancer underwent MRI and confirmation on histology and cytology of suspected local recurrence. In these patients both clinical and mammographic/ultrasound features of local recurrence were nonspecific or suspicious. All patients were examined at least 1 year after completion of radiation treatment. Dynamic magnetic resonance imaging was performed with a 1.5 T unit using a dedicated bilateral breast coil. Qualitative and quantitative data were obtained. Statistical analysis was also performed with the Student T-test. Results. Breast cancer recurrence was confirmed on histology in 22 patients. MRI identified all the 22 breast recurrent cancers. False-positive contrast enhancement was seen in only two patients. In four patients recurrence was classified as multifocal. In one patient the tumor was detected in the contralateral breast. MRI showed 95% accuracy, 100% sensitivity, 88.8% specificity with 5% false-positives and 100% negative predictive value. Conclusion. Dynamic MRI appears a valuable technique for differentiation of post-treatment changes from recurrent carcinoma and for guiding the histological confirmation. Its high negative predictive value may have an impact on follow-up of treated breast.


Journal of Ultrasound in Medicine | 2001

Sonographic diagnosis of distal biceps tendon rupture: a prospective study of 25 cases.

Paolo Belli; Melania Costantini; Paoletta Mirk; Antonio Maria Leone; Pastore G; Pasquale Marano

To describe the sonographic findings of distal biceps tendon ruptures and to assess the accuracy of the technique.


Radiologia Medica | 2010

DIFFUSION-WEIGHTED IMAGING IN BREAST LESION EVALUATION

Paolo Belli; Melania Costantini; Enida Bufi; A. Magistrelli; G. La Torre; Lorenzo Bonomo

PurposeThe purpose of this study was to investigate the ability of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in the detection and characterisation of breast lesions.Materials and methodsFrom September 2005 to September 2007, 86 patients with breast lesions who underwent magnetic resonance imaging (MRI) in our department were included in our study. MRI was performed with a 1.5-T unit using a standard protocol including DWI sequence. For each breast lesion, the ADC value was calculated and compared with that of normal breast tissue and to the definitive pathological diagnosis. Mann-Whitney U and Kruskal-Wallis tests were used for statistical analysis.ResultsA total of 126 breast lesions were detected. Pathology results revealed 100 malignant and 26 benign lesions. Mean diameter of lesions was 26.02 mm (range 4–90 mm), including 52 lesions ≤15 mm in size. Mean ADC value of normal glandular tissue was 1.55×10−3 mm2/s. Mean ADC value of malignant lesions was 0.97×10−3 mm2/s. Mean ADC value for benign lesions was 1.66×10−3 mm2/s. Benign lesions showed ADC values significantly higher than malignant lesions (p<0.0001).ConclusionsDWI provides reliable information to support MRI diagnosis of breast masses. ADC value appears a promising adjunctive parameter in distinguishing malignant from benign breast lesions.RiassuntoObiettivoLo scopo di questo lavoro è stato quello di valutare l’utilità dell’imaging di diffusione nella caratterizzazione delle lesioni mammarie.Materiali e metodiSono stati inclusi nel nostro studio 86 pazienti con lesione sospetta della mammella inviate all’esecuzione di risonanza magnetica (RM) mammaria presso il nostro Dipartimento da settembre 2005 a settembre 2007. La RM è stata eseguita con apparecchio da 1,5 T; il protocollo di studio includeva una sequenza di diffusione (DWI). Per ogni paziente è stato calcolato il valore del coefficiente di diffusione apparente (ADC) delle lesioni individuate e del parenchima ghiandolare controlaterale. Il valore ADC relativo alle lesioni è stato poi confrontato con la diagnosi patologica definitiva. I test di Mann-Whitney U e Kruskal-Wallis sono stati utilizzati per l’analisi statistica.RisultatiSono state identificate 126 lesioni. L’esame istopatologico ha rivelato la presenza di 100 lesioni maligne e 26 lesioni benigne. Il diametro medio delle lesioni è stato di 26,02 mm (range: 4–90 mm), di cui 52 con diametro ≤15 mm. L’ADC medio del tessuto ghiandolare normale è stato di 1,55×10−3 mm2/s. L’ADC medio delle lesioni maligne è stato di 0,97×10−3 mm2/s. L’ADC medio delle lesioni benigne è stato di 1,66×10−3 mm2/s. Le lesioni benigne hanno mostrato valori di ADC significativamente più alti rispetto alle lesioni maligne (p<0,0001).ConclusioniLa DWI fornisce utili informazioni alla diagnosi di lesioni mammarie in RM. Il valore di ADC sembra un parametro aggiuntivo promettente nella distinzione tra lesioni maligne e benigne della mammella.


Journal of Ultrasound in Medicine | 2000

Role of color Doppler sonography in the assessment of musculoskeletal soft tissue masses.

Paolo Belli; Melania Costantini; Paoletta Mirk; Giulia Maresca; Francesco Priolo; Pasquale Marano

Fifty‐six patients with soft tissue masses of the limbs (36 benign, 20 malignant) prospectively underwent sonography (color Doppler and pulsed Doppler examinations) to assess the role of Doppler interrogation in differentiating benign from malignant lesions. Sonography showed 60% sensitivity, 55% specificity, 71% negative predictive value, 42% positive predictive value, and 57% accuracy. Color Doppler evaluation showed 85% sensitivity, 88% specificity, 91% negative predictive value, 80% positive predictive value, and 87% accuracy. Diastolic and venous velocities and pulsatility index values were not statistically significant. Mean systolic velocity was 0.27 m/s in benign lesions and 0.55 m/s in malignant lesions. By combining sonographic and Doppler data, a correct diagnosis was obtained in 51 of 56 patients (90% sensitivity, 91% specificity, 85% positive predictive value, 94% negative predictive value, 91% accuracy). Color Doppler and pulsed Doppler evaluations represent a useful adjunct to sonography and should be routinely included in the evaluation of musculoskeletal soft tissue masses by ultrasonography.


Radiology | 2011

Multicenter, Double-Blind, Randomized, Intraindividual Crossover Comparison of Gadobenate Dimeglumine and Gadopentetate Dimeglumine for Breast MR Imaging (DETECT Trial)

L. Martincich; Matthieu Faivre-Pierret; Christian M. Zechmann; Stefano Corcione; Harrie C. M. van den Bosch; Wei Jun Peng; Antonella Petrillo; Katja Siegmann; Johannes T. Heverhagen; Pietro Panizza; Hans Björn Gehl; Felix Diekmann; Federica Pediconi; Lin Ma; Fiona J. Gilbert; Francesco Sardanelli; Paolo Belli; Marco Salvatore; K.-F. Kreitner; Claudia Weiss; Chiara Zuiani

PURPOSE To intraindividually compare 0.1 mmol/kg doses of gadobenate dimeglumine and gadopentetate dimeglumine for contrast material-enhanced breast magnetic resonance (MR) imaging by using a prospective, multicenter double-blind, randomized protocol. MATERIALS AND METHODS Institutional review board approval and patient informed consent were obtained. One hundred sixty-two women (mean age, 52.8 years ± 12.3 [standard deviation]) enrolled at 17 sites in Europe and China between July 2007 and May 2009 underwent at least one breast MR imaging examination at 1.5 T by using three-dimensional spoiled gradient-echo sequences. Of these, 151 women received both contrast agents in randomized order in otherwise identical examinations separated by more than 2 but less than 7 days. Images, acquired at 2-minute or shorter intervals after contrast agent injection, were evaluated independently by three blinded radiologists unaffiliated with enrollment centers. Histopathologic confirmation was available for all malignant lesions (n = 144), while benign lesions were confirmed either by using histopathologic examination (n = 52) or by at least 12-month diagnostic follow-up (n = 20) with mammography and/or ultrasonography. Determinations of malignant lesion detection rates and diagnostic performance (sensitivity, specificity, accuracy, positive predictive value [PPV], and negative predictive value [NPV]) were performed and compared (McNemar and Wald tests). A full safety assessment was performed. RESULTS Significant superiority for gadobenate dimeglumine was noted by readers 1, 2, and 3 for malignant lesion detection rate (91.7%, 93.1%, 94.4% vs 79.9%, 80.6%, 83.3%, respectively; P ≤ .0003). Readers 1, 2, and 3 reported significantly superior diagnostic performance (sensitivity, specificity, and accuracy) for breast cancer detection with gadobenate dimeglumine (91.1%, 94.5%, 95.2% vs 81.2%, 82.6%, 84.6%; 99.0%, 98.2%, 96.9% vs 97.8%, 96.9%, 93.8%; 98.2%, 97.8%, 96.7% vs 96.1%, 95.4%, 92.8%, respectively; P ≤ .0094) and significantly superior PPV (91.1%, 85.2%, 77.2% vs 80.7%, 75.5%, 60.9%, respectively; P ≤ .0002) and NPV (99.0%, 99.4%, 99.4% vs 97.8%, 98.0%, 98.1%, respectively; P ≤ .0003). No safety concerns were noted with either agent. CONCLUSION Gadobenate dimeglumine is superior to gadopentetate dimeglumine for breast cancer diagnosis.


Breast Journal | 2011

Diffusion-weighted Imaging in Evaluating the Response to Neoadjuvant Breast Cancer Treatment

Paolo Belli; Melania Costantini; Carmine Ierardi; Enida Bufi; D Amato; Antonino Mulè; Luigia Nardone; Daniela Terribile; Lorenzo Bonomo

Abstract:  The aim of this study was to investigate the role of diffusion imaging in the evaluation of response to neoadjuvant breast cancer treatment by correlating apparent diffusion coefficient (ADC) value changes with pathological response. From June 2007 to June 2009, all consecutive patients with histopathologically confirmed breast cancer undergoing neoadjuvant chemotherapy were enrolled. All patients underwent magnetic resonance imaging (MRI) (including diffusion sequence) before and after neoadjuvant treatment. The ADC values obtained using two different methods of region of interest (ROI) placement before and after treatment were compared with MRI response (assessed using RECIST 1.1 criteria) and pathological response (assessed using Mandard’s classification).


Radiologia Medica | 2008

Indications for breast magnetic resonance imaging. Consensus document “Attualità in senologia”, Florence 2007

Francesco Sardanelli; Gian Marco Giuseppetti; G. Canavese; Luigi Cataliotti; Stefano Corcione; E. Cossu; Massimo Federico; Lorenza Marotti; L. Martincich; Pietro Panizza; Franca Podo; M. Rosselli Del Turco; Chiara Zuiani; C. Alfano; Massimo Bazzocchi; Paolo Belli; Simonetta Bianchi; Cilotti A; M. Calabrese; Luca A. Carbonaro; Laura Cortesi; C. Di Maggio; A. Del Maschio; Anastassia Esseridou; Alfonso Fausto; M. Gennaro; Rossano Girometti; R. Ienzi; A. Luini; S. Manoukian

The clinical use of breast magnetic resonance (MR) imaging is increasing, especially for applications requiring paramagnetic contrast-agent injection. This document presents a synthetic list of acceptable indications with potential advantages for women according to evidence from the literature and the expert opinion of the panel that developed this statement. We generally recommend that breast MR imaging be performed in centres with experience in conventional breast imaging [mammography and ultrasonography (US)] and needle-biopsy procedures (under stereotactic or US guidance) as well as in breast MR imaging and second-look US for findings not revealed by conventional imaging performed before MR imaging. In our opinion, there is no evidence in favour of breast MR imaging as a diagnostic tool to characterise equivocal findings at conventional imaging when needle-biopsy procedures can be performed, nor for the study of asymptomatic, non-high-risk women with negative conventional imaging. After a description of technical and methodological requirements, we define the indications and limitations of breast MR imaging for surveillance of high-risk women, local staging before surgery, evaluation of the effect of neoadjuvant chemotherapy, breast previously treated for carcinoma, carcinoma of unknown primary syndrome, nipple discharge and breast implants.RiassuntoLa RM mammaria è in fase di crescente utilizzo clinico, soprattutto per le applicazioni che richiedono la somministrazione di mezzo di contrasto (MdC) paramagnetico. Il presente documento propone una codificazione sintetica delle indicazioni accettabili con potenziale vantaggio per le donne, secondo la valutazione delle evidenze presenti in letteratura e l’opinione del gruppo di esperti estensori del documento. In generale si raccomanda che l’indagine sia eseguita presso centri che siano in grado di combinare l’esperienza senologica relativa all’imaging convenzionale e ai prelievi agobioptici con quella specifica in RM mammaria e che garantiscano l’esecuzione del second look ecografico per i reperti non rilevati all’imaging convenzionale pre-RM. Non si ritiene che vi siano evidenze in favore dell’utilizzo della RM quale approccio diagnostico nella caratterizzazione di reperti equivoci all’imaging convenzionale in tutte le situazioni nelle quali sia praticabile il prelievo agobioptico sotto guida ecografica o stereotassica né in favore dello studio di donne non ad alto rischio asintomatiche e con imaging convenzionale negativo. Sono qui definiti i requisiti tecnici e metodologici di esecuzione dell’indagine e indicazioni e limiti relativi a: sorveglianza delle donne ad alto rischio di tumore mammario; stadiazione locale pretrattamento chirurgico; valutazione dell’effetto della chemioterapia neoadiuvante; mammella trattata per carcinoma; carcinoma unknown primary syndrome; mammella secernente; protesi mammarie.


Clinical Breast Cancer | 2012

Magnetic Resonance Imaging Features in Triple-Negative Breast Cancer: Comparison With Luminal and HER2-Overexpressing Tumors

Melania Costantini; Paolo Belli; Daniela Distefano; Enida Bufi; Marialuisa Di Matteo; Pierluigi Rinaldi; Michela Giuliani; Gianluigi Petrone; Stefano Magno; Lorenzo Bonomo

BACKGROUND It has been ascertained that triple-negative (TN) breast cancer is characterized by an aggressive clinical course and a poor prognosis. The purpose of our study was to compare the magnetic resonance imaging (MRI) features of the 3 major different breast cancer subtypes (TN, luminal, and human epidermal growth factor receptor 2 [HER2]-overexpressing) and to suggest the criteria that might predict TN phenotype. MATERIALS AND METHODS From October 2007 to April 2011, we studied 77 patients with histologically confirmed TN breast cancer who underwent breast MRI. We randomly included 148 patients with non-TN breast cancer (110 luminal and 38 HER-overexpressing) as a control group. We evaluated the clinicopathologic data, the MRI morphologic and kinetic features, the signal intensity on T2-weighted images, and the apparent diffusion coefficient (ADC). RESULTS Our results confirmed that TN tumors are more aggressive, are usually diagnosed at a younger age compared with the other study groups, and show benign morphologic features with MRI. Backward stepwise logistic regression identified some parameters as independent predictors of TN-type lesions: age, size, shape, presence of edema, and infiltrative characteristics. The receiver operating characteristic (ROC) curve, built with 4 of 5 these factors as criteria to predict TN status, showed a 0.664 area under the curve (AUC) value (sensitivity 58.4%, specificity 73.2%). The inclusion of the fifth criterion showed a 0.699 AUC value (sensitivity, 49.4%; specificity, 89.4%). CONCLUSION We identified the clinicoradiologic parameters that are independent predictors of TN breast lesions, which might be helpful for earlier prediction of the TN status of a breast lesion.

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Dive into the Paolo Belli's collaboration.

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Melania Costantini

Catholic University of the Sacred Heart

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Lorenzo Bonomo

The Catholic University of America

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Enida Bufi

Catholic University of the Sacred Heart

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Gianluca Franceschini

The Catholic University of America

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Pierluigi Rinaldi

The Catholic University of America

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Michela Giuliani

Catholic University of the Sacred Heart

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Antonino Mulè

The Catholic University of America

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Pastore G

Catholic University of the Sacred Heart

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Pietro Panizza

Vita-Salute San Raffaele University

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Riccardo Masetti

Catholic University of the Sacred Heart

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