Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

Artificial intelligence in lung cancer screening: the future is now

M Cellina, LM Cacioppa, M Cè, V Chiarpenello… - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is a widespread malignant tumour with a high mortality and
morbidity rate and is frequently diagnosed in the middle and late stages when few therapies …

Machine learning approaches with textural features to calculate breast density on mammography

M Sansone, R Fusco, F Grassi, G Gatta, MP Belfiore… - Current …, 2023 - mdpi.com
Background: breast cancer (BC) is the world's most prevalent cancer in the female
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …

Structured reporting of computed tomography in the polytrauma patient assessment: A Delphi consensus proposal

V Granata, R Fusco, D Cozzi, G Danti, L Faggioni… - La radiologia …, 2023 - Springer
Objectives To develop a structured reporting (SR) template for whole-body CT examinations
of polytrauma patients, based on the consensus of a panel of emergency radiology experts …

Facing an un-met need in lung cancer screening: the never smokers

O Arrieta, M Arroyo-Hernández… - Critical Reviews in …, 2024 - Elsevier
Lung cancer (LC) is the leading cause of cancer-related deaths worldwide and the second
most common cancer in both men and women. In addition to smoking, other risk factors …

Diagnostic management of gastroenteropancreatic neuroendocrine neoplasms: technique optimization and tips and tricks for radiologists

F Pellegrino, V Granata, R Fusco, F Grassi, S Tafuto… - Tomography, 2023 - mdpi.com
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) comprise a
heterogeneous group of neoplasms, which derive from cells of the diffuse neuroendocrine …

Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics

V Granata, R Fusco, SV Setola, R Galdiero… - Infectious agents and …, 2023 - Springer
In this narrative review, we reported un up-to-date on the role of radiomics to assess
prognostic features, which can impact on the liver metastases patient treatment choice. In …

Peritoneal Carcinosis: What the Radiologist Needs to Know

A Reginelli, G Giacobbe, MT Del Canto… - Diagnostics, 2023 - mdpi.com
Peritoneal carcinosis is a condition characterized by the spread of cancer cells to the
peritoneum, which is the thin membrane that lines the abdominal cavity. It is a serious …

Radiomics in gastrointestinal stromal tumours: an up-to-date review

A Galluzzo, S Boccioli, G Danti, F De Muzio… - Japanese Journal of …, 2023 - Springer
Gastrointestinal stromal tumours are rare mesenchymal neoplasms originating from the
Cajal cells and represent the most common sarcomas in the gastroenteric tract. Symptoms …

Reproducibility of CT radiomic features in lung neuroendocrine tumours (NETs) patients: analysis in a heterogeneous population

E Bicci, D Cozzi, E Cavigli, R Ruzga, E Bertelli… - La radiologia …, 2023 - Springer
Background The aim is to find a correlation between texture features extracted from
neuroendocrine (NET) lung cancer subtypes, both Ki-67 index and the presence of lymph …