A. Vestito

ORCID: 0000-0001-6592-2901
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About
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Research Areas
  • Breast Cancer Treatment Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Digital Radiography and Breast Imaging
  • Breast Implant and Reconstruction
  • Spinal Fractures and Fixation Techniques
  • Advances in Oncology and Radiotherapy
  • Nutrition, Genetics, and Disease
  • Effects and risks of endocrine disrupting chemicals
  • Cardiovascular Disease and Adiposity
  • Global Cancer Incidence and Screening
  • Helicobacter pylori-related gastroenterology studies
  • Cervical and Thoracic Myelopathy
  • Genetic factors in colorectal cancer
  • Systemic Sclerosis and Related Diseases
  • Spine and Intervertebral Disc Pathology
  • Reconstructive Surgery and Microvascular Techniques
  • Cancer Risks and Factors
  • AI in cancer detection
  • MRI in cancer diagnosis

Ospedale San Paolo
2011-2021

Presidio Ospedaliero
2012

Università Cattolica del Sacro Cuore
2011

Background: For assessing the predictability of oncology neoadjuvant therapy results, background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate BPE as a potential predictive marker for therapy. Method: Three radiologists examined, triple-blind modality, MRIs 80 patients performed before start chemotherapy, after three months from treatment, and surgery. They identified portion...

10.3390/jpm11040256 article EN Journal of Personalized Medicine 2021-04-01
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