Ilaria Bertotto

Dr. Ilaria Bertotto


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 March 2012 in European Radiology
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Journal Article
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LMLaura Martincich
Laura Martincich
VDVeronica Deantoni
Veronica Deantoni
IBIlaria Bertotto
Ilaria Bertotto
SRStefania Redana
Stefania Redana
FKFranziska Kubatzki
Franziska Kubatzki
FMFilippo Montemurro
Filippo Montemurro

13 January 2019 in European Journal of Nuclear Medicine and Molecular Imaging
Verified
Journal Article
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Valentina GianniniValentina Giannini
Valentina Giannini
SMSimone Mazzetti
Simone Mazzetti
IBIlaria Bertotto
Ilaria Bertotto
CCC. Chiarenza
C. Chiarenza
SCS. Cauda
S. Cauda
DRDaniele Regge
Daniele Regge

6 December 2006 in European Radiology
Verified
Journal Article
Closed access
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FMFilippo Montemurro
Filippo Montemurro
LMLaura Martincich
Laura Martincich
ISIvana Sarotto
Ivana Sarotto
IBIlaria Bertotto
Ilaria Bertotto
Riccardo PonzoneRiccardo Ponzone
Riccardo Ponzone
DRDaniele Regge
Daniele Regge

30 September 2011 in Journal of Magnetic Resonance Imaging
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Journal Article
Open access
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AVanna vignati
anna vignati
Valentina GianniniValentina Giannini
Valentina Giannini
MLMassimo De Luca
Massimo De Luca
LMLia Morra
Lia Morra
DPDiego Persano
Diego Persano
FSFrancesco Sardanelli
Francesco Sardanelli
Purpose: To describe and test a new fully automatic lesion detection system for breast DCE‐MRI.Materials and Methods: Studies were collected from two institutions adopting different DCE‐MRI sequences, one with and the other one without fat‐saturation. The detection pipeline consists of (i) breast segmentation, to identify breast size and location; (ii) registration, to correct for patient movements; (iii) lesion detection, to extract contrast‐enhanced regions using a new normalization technique based on the contrast‐uptake of mammary vessels; (iv) false positive (FP) reduction, to exclude contrast‐enhanced regions other than lesions. Detection rate (number of system‐detected malignant and benign lesions over the total number of lesions) and sensitivity (system‐detected malignant lesions over the total number of malignant lesions) were assessed. The number of FPs was also assessed.Results: Forty‐eight studies with 12 benign and 53 malignant lesions were evaluated. Median lesion diameter was 6 mm (range, 5–15 mm) for benign and 26 mm (range, 5–75 mm) for malignant lesions. Detection rate was 58/65 (89%; 95% confidence interval [CI] 79%–95%) and sensitivity was 52/53 (98%; 95% CI 90%–99%). Mammary median FPs per breast was 4 (1st–3rd quartiles 3–7.25).Conclusion: The system showed promising results on MR datasets obtained from different scanners producing fat‐sat or non–fat‐sat images with variable temporal and spatial resolution and could potentially be used for early diagnosis and staging of breast cancer to reduce reading time and to improve lesion detection. Further evaluation is needed before it may be used in clinical practice. J. Magn. Reson. Imaging 2011;.

1 June 2017 in European Journal of Cancer
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Journal Article
Closed access
LDLorenzo D'Ambrosio
Lorenzo D'Ambrosio
EPErica Palesandro
Erica Palesandro
PBPaola Boccone
Paola Boccone
FTFrancesco Tolomeo
Francesco Tolomeo
SMSara Miano
Sara Miano
GGGiovanni Grignani
Giovanni Grignani

1 May 2011 in American Journal of Roentgenology
Verified
Journal Article
Closed access
LMLaura Martincich
Laura Martincich
IBIlaria Bertotto
Ilaria Bertotto
FMFilippo Montemurro
Filippo Montemurro
Riccardo PonzoneRiccardo Ponzone
Riccardo Ponzone
LCLuca A. Carbonaro
Luca A. Carbonaro
FSFrancesco Sardanelli
Francesco Sardanelli
OBJECTIVE. The purpose of this article is to assess changes in breast vascular maps on dynamic contrast-enhanced MRI (DCE-MRI) after primary chemotherapy in patients with locally advanced breast cancer (LABC).SUBJECTS AND METHODS. Thirty-four patients with unilateral LABC underwent DCE-MRI before and after anthracycline- and taxane-based primary chemotherapy. The number of vessels 30 mm or longer in length and 2 mm or larger in maximum transverse diameter were counted on maximum intensity projections of the first subtracted phase for each of the two breasts. Patients achieving pathologic response or small clusters of residual cancer cells after primary chemotherapy were considered as responders, and those with an inferior pathologic response were considered as nonresponders.RESULTS. The mean (± SD) number of vessels in the breast harboring the cancer and in the contralateral breast was 2.7 ± 1.3 and 1.1 ± 1.0 (p < 0.001), respectively, before primary chemotherapy and 1.3 ± 1.1 and 1.1 ± 1.1 (p = 0.147), r...