Federica Landolfi

ORCID: 0000-0002-2208-2559
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Colorectal Cancer Surgical Treatments
  • Colorectal Cancer Screening and Detection
  • Colorectal Cancer Treatments and Studies
  • Pancreatic and Hepatic Oncology Research
  • Gastric Cancer Management and Outcomes
  • Occupational and environmental lung diseases
  • Radiation Dose and Imaging
  • Advanced X-ray and CT Imaging
  • Genetic factors in colorectal cancer
  • Colorectal and Anal Carcinomas
  • Pleural and Pulmonary Diseases
  • Intraperitoneal and Appendiceal Malignancies
  • Gastrointestinal Tumor Research and Treatment
  • Medical Imaging Techniques and Applications
  • Advances in Oncology and Radiotherapy
  • Sarcoma Diagnosis and Treatment
  • Economic and Financial Impacts of Cancer
  • Radiology practices and education
  • Anorectal Disease Treatments and Outcomes
  • Gastrointestinal disorders and treatments
  • Pericarditis and Cardiac Tamponade
  • Neuroendocrine Tumor Research Advances
  • MRI in cancer diagnosis
  • Pelvic floor disorders treatments

Oncode Institute
2020-2024

The Netherlands Cancer Institute
2020-2024

Sapienza University of Rome
2018-2024

Agostino Gemelli University Polyclinic
2021

Abstract Background Microsatellite instability (MSI) status is a strong predictor of response to immunotherapy colorectal cancer. Radiogenomic approaches promise the ability gain insight into underlying tumor biology using non-invasive routine clinical images. This study investigates association between morphology and MSI versus microsatellite stability (MSS), validating novel radiomic signature on an external multicenter cohort. Methods Preoperative computed tomography scans with matched...

10.1186/s41747-024-00484-8 article EN cc-by European Radiology Experimental 2024-08-26

Abstract Purpose Male sex, high BMI, narrow pelvis, and bulky mesorectum were acknowledged as clinical variables correlated with a difficult pelvic dissection in colorectal surgery. This paper aimed at comparing biometric measurements female male patients providing perspective on how pelvimetry segmentation may help visualizing mesorectal distribution. Methods A 3D software was used for of DICOM data consecutive aged 60 years, who underwent elective abdominal CT scan. The following...

10.1007/s00384-020-03802-9 article EN cc-by International Journal of Colorectal Disease 2020-11-23

This study aims to evaluate the bedside use of pocket-sized ultrasound (US) device for detection intracavitary effusions.We randomly enrolled 40 patients admitted S. Andrea Hospital Rome. Every patient received a clinical and biochemical evaluation US examination detect estimate (pleural, pericardial intra-abdominal) effusions; measurements have been compared computed tomography (CT) scans (as gold standard).The presented high prevalence effusions: right pleural 16/40 = 40% (esteemed volume...

10.3233/ch-221402 article EN Clinical Hemorheology and Microcirculation 2022-03-04

Purpose: Pleural plaques (PPs) are morphologic manifestations of long-term asbestos exposure. The relationship between PP and lung function is not well understood, whereas the time-consuming nature delineation to obtain volume impedes research. To automate laborious task delineation, we aimed develop automatic artificial intelligence (AI)–driven segmentation PP. Moreover, explore pleural plaque (PPV) pulmonary tests. Materials Methods: Radiologists manually delineated PPs retrospectively in...

10.1097/rti.0000000000000759 article EN cc-by Journal of Thoracic Imaging 2023-10-31

<b>Background:</b> Pleural plaques (PP) are morphological manifestations of long-term asbestos exposure. The relationship between PP and lung function is not well-understood. time-consuming nature delineation to obtain volume impedes research. <b>Aims:</b> We aimed explore the pleural plaque pulmonary tests (PFT). To automatize laborious task delineation, we develop automatic Artificial Intelligence (AI)-driven segmentation <b>Methods:</b> Radiologists manually delineated in n=422 CT images...

10.1183/13993003.congress-2021.pa2544 article EN 2021-09-05
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