Stefania Montemezzi
University of Verona
In vivo magnetic resonance spectroscopyInternal medicineRadiologySurgeryIterative reconstructionPathologyMagnetic resonance imagingUltrasoundOncologyDiffusion MRIArtificial intelligenceMedical physicsBreast imagingMalignancyNeuroradiologySolitary pulmonary noduleMammographyMultiple sclerosisDigital mammographyPopulationNuclear medicineComputer scienceInterventional radiologyBreast cancerComputed tomographyMedicine
84Publications
15H-index
1,167Citations
Publications 75
Newest
#1Nicolò CardobiH-Index: 10
#2Giulio BenettiH-Index: 9
Last. Stefania Montemezzi (University of Verona)H-Index: 15
view all 7 authors...
PURPOSE: To classify COVID-19, COVID-19-like and non-COVID-19 interstitial pneumonia using lung CT radiomic features. MATERIAL AND METHODS: CT data of 115 patients with respiratory symptoms suspected for COVID-19 disease were retrospectively analyzed. Based on the results of nasopharyngeal swab, patients were divided into two main groups, COVID-19 positive (C +) and COVID-19 negative (C-), respectively. C- patients, however, presented with interstitial lung involvement. A subgroup of C-, COVID-1...
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This study evaluated the feasibility of DWI for lesion targeting in MRI-guided breast biopsies. Furthermore, it assessed device positioning on DWI during biopsy procedures. A total of 87 biopsy procedures (5/87 bilateral) consecutively performed between March 2019 and June 2020 were retrospectively reviewed: in these procedures, a preliminary DWI sequence (b = 1300 s/mm2) was acquired to assess lesion detectability. We included 64/87 procedures on lesions detectable at DWI; DWI sequences were ad...
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#1Nicolò CardobiH-Index: 10
#2Alessandro Dal Palù (University of Parma)H-Index: 14
Last. Mirko D'Onofrio (University of Verona)H-Index: 58
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Artificial intelligence (AI) is one of the most promising fields of research in medical imaging so far. By means of specific algorithms, it can be used to help radiologists in their routine workflow. There are several papers that describe AI approaches to solve different problems in liver and pancreatic imaging. These problems may be summarized in four different categories: segmentation, quantification, characterization and image quality improvement. Segmentation is usually the first step of suc...
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#1Stefania MontemezziH-Index: 15
#2Giulio BenettiH-Index: 9
Last. Carlo CavedonH-Index: 14
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OBJECTIVES: To test whether 3T MRI radiomics of breast malignant lesions improve the performance of predictive models of complete response to neoadjuvant chemotherapy when added to other clinical, histological and radiological information. METHODS: Women who consecutively had pre-neoadjuvant chemotherapy (NAC) 3T DCE-MRI between January 2016 and October 2019 were retrospectively included in the study. 18F-FDG PET-CT and histological information obtained through lesion biopsy were also available....
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#1Luigina BonelliH-Index: 26
Last. Francesco SardanelliH-Index: 58
view all 23 authors...
BackgroundIn women at high/intermediate lifetime risk of breast cancer (BC-LTR), contrast-enhanced magnetic resonance imaging (MRI) added to mammography {+/-}ultrasound (Mx{+/-}US) increases sensitivity but decreases specificity. An alternative strategy, MRI alone, potentially more cost-effective, has never been explored. This study aims to assess the characteristics of women who participated in a randomized trial offering MRI alone. MethodsIn this feasibility multicentre randomized controlled t...
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#1Weijing Tao (NU: Nanjing University)
#2Mengjie Lu (NU: Nanjing University)H-Index: 2
Last. Guangming Lu (NU: Nanjing University)H-Index: 55
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Purpose Machine learning (ML) can extract high-throughput features of images to predict disease. This study aimed to develop nomogram of multi-parametric MRI (mpMRI) ML model to predict the risk of breast cancer. Methods The mpMRI included non-enhanced and enhanced T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), Ktrans, Kep, Ve, Vp. Regions of interest were annotated in an enhanced T1WI map and mapped to other maps in every slice. 1,132 features and ...
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#1Francesca CaumoH-Index: 14
#2Stefania MontemezziH-Index: 15
Last. Gisella GennaroH-Index: 14
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Digital breast tomosynthesis at first round and at repeat screening depicted a higher proportion of stage I cancers than screening with digital mammography.
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#1Francesco Sardanelli (University of Milan)H-Index: 58
#2Rubina M. Trimboli (University of Milan)H-Index: 14
Last. Giovanni Di LeoH-Index: 20
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Despite its high diagnostic performance, the use of breast MRI in the preoperative setting is controversial. It has the potential for personalized surgical management in breast cancer patients, but two of three randomized controlled trials did not show results in favor of its introduction for assessing the disease extent before surgery. Meta-analyses showed a higher mastectomy rate in women undergoing preoperative MRI compared to those who do not. Nevertheless, preoperative breast MRI is increas...
6 CitationsSource
#1Federica Pediconi (Sapienza University of Rome)H-Index: 25
#2Francesca Galati (Sapienza University of Rome)H-Index: 6
Last. Stefania MontemezziH-Index: 15
view all 21 authors...
The Italian College of Breast Radiologists by the Italian Society of Medical Radiology (SIRM) provides recommendations for breast care provision and procedural prioritization during COVID-19 pandemic, being aware that medical decisions must be currently taken balancing patient's individual and community safety: (1) patients having a scheduled or to-be-scheduled appointment for in-depth diagnostic breast imaging or needle biopsy should confirm the appointment or obtain a new one; (2) patients who...
6 CitationsSource