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 …
morbidity rate and is frequently diagnosed in the middle and late stages when few therapies …
Radiomics in medical imaging: pitfalls and challenges in clinical management
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
Explainable machine learning for COVID-19 pneumonia classification with texture-based features extraction in chest radiography
Both reverse transcription-PCR (RT-PCR) and chest X-rays are used for the diagnosis of the
coronavirus disease-2019 (COVID-19). However, COVID-19 pneumonia does not have a …
coronavirus disease-2019 (COVID-19). However, COVID-19 pneumonia does not have a …
Machine learning approaches with textural features to calculate breast density on mammography
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 …
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …
Risk assessment and pancreatic cancer: Diagnostic management and artificial intelligence
Simple Summary Pancreatic cancer (PC) is one of the deadliest cancers. Its high mortality
rate is correlated with several explanations; the main one is the late disease stage at which …
rate is correlated with several explanations; the main one is the late disease stage at which …
Ability of delta radiomics to predict a complete pathological response in patients with loco-regional rectal cancer addressed to neoadjuvant chemo-radiation and …
V Nardone, A Reginelli, R Grassi, G Vacca… - Cancers, 2022 - mdpi.com
Simple Summary The present study aimed to investigate the possible use of MRI delta
texture analysis (D-TA) in order to predict the extent of pathological response in patients with …
texture analysis (D-TA) in order to predict the extent of pathological response in patients with …
Imaging severity COVID-19 assessment in vaccinated and unvaccinated patients: comparison of the different variants in a high volume Italian reference center
Purpose: To analyze the vaccine effect by comparing five groups: unvaccinated patients with
Alpha variant, unvaccinated patients with Delta variant, vaccinated patients with Delta …
Alpha variant, unvaccinated patients with Delta variant, vaccinated patients with Delta …
Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
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 …
prognostic features, which can impact on the liver metastases patient treatment choice. In …
Pulmonary lymphangitis poses a major challenge for radiologists in an oncological setting during the COVID-19 pandemic
Due to the increasing number of COVID-19-infected and vaccinated individuals, radiologists
continue to see patients with COVID-19 pneumonitis and recall pneumonitis, which could …
continue to see patients with COVID-19 pneumonitis and recall pneumonitis, which could …
Exploring radiologists' burnout in the COVID-19 era: a narrative review
M Gabelloni, L Faggioni, R Fusco, F De Muzio… - International Journal of …, 2023 - mdpi.com
Since its beginning in March 2020, the COVID-19 pandemic has claimed an exceptionally
high number of victims and brought significant disruption to the personal and professional …
high number of victims and brought significant disruption to the personal and professional …