Publications by authors named "Giorgio Masci"
Management of peritoneal surface malignancies is currently entrusted to a multimodality approach. Computed tomography (CT) scan remains the first imaging method despite the limitations in identifying small implants in critical regions. Magnetic resonance imaging is usually recommended for its performance in small implants, mesentery, and small bowel assessment.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates long-term symptoms of COVID-19, focusing on both hospitalized and home-isolated patients to detail persistent issues related to long COVID.
- Conducting a retrospective cohort study with 364 patients, researchers found that 82% experienced at least one symptom, primarily fatigue, and notable lung issues were detected in many patients.
- The findings highlight significant long-term effects of COVID-19, stressing the need for comprehensive healthcare approaches and multidisciplinary teams to manage and improve patient outcomes.
Article Synopsis
- The study aimed to assess how well artificial intelligence (AI) can detect lung metastases in preoperative CT scans compared to radiologists.
- AI was applied to CT scans of 167 patients, showing that it detected a high percentage of true nodules and significantly improved the overall sensitivity when used alongside human radiologists.
- The findings suggest that AI not only enhances detection rates but can also identify cancers earlier, which could be beneficial for patient care.
The aim of the study was to longitudinally evaluate the association between MMP-2, MMP-9, TIMP-1 and chest radiological findings in COVID-19 patients. COVID-19 patients were evaluated based on their hospital admission (baseline) and three months after hospital discharge (T post) and were stratified into ARDS and non-ARDS groups. As a control group, healthy donors (HD) were enrolled.
View Article and Find Full Text PDFObjectives: To evaluate the impact of vaccination on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and moreover on coronavirus disease 2019 (COVID-19) pneumonia, by assessing the extent of lung disease using the CT severity score (CTSS).
Methods: Between September 2021 and February 2022, SARS-CoV-2 positive patients who underwent chest CT were retrospectively enrolled. Anamnestic and clinical data, including vaccination status, were obtained.
Objective: To investigate the predictive role of diffusion-weighted magnetic resonance imaging (DW-MRI) in the assessment of response to total neoadjuvant therapy (TNT) in patients with locally advanced rectal cancer (LARC).
Methods: In this single-center retrospective study, patients with LARC who underwent staging MRI and TNT were enrolled. MRI-based staging, tumor volume, and DWI-ADC values were analyzed.
Purpose: Aim of the study was to perform CT texture analysis in patients with gastric cancer (GC) to investigate potential role of radiomics for predicting the occurrence of peritoneal metastases (PM).
Materials And Methods: In this single-centre retrospective study, patients with gastric adenocarcinoma and surgically confirmed presence or absence of PM were, respectively, enrolled in group PM and group non-PM. Patients with T1-staging, previous treatment or presence of imaging artifacts were excluded from the study.
This retrospective and observational cohort study investigated chest computed tomography (CT) findings, cycle threshold (Ct) values in RT-PCR of SARS-CoV-2 and secondary infection occurrence to predict prognosis in COVID-19 patients. At hospital admission, CT findings and Ct values were collected. Microbiology tests performed after 48 hours from hospitalization were reviewed.
View Article and Find Full Text PDFPurpose: To evaluate CT and laboratory changes in COVID-19 patients treated with tocilizumab, compared to a control group, throughout a combined semiquantitative and texture analysis of images.
Materials And Methods: From March 11 to April 20, 2020, 57 SARS-CoV-2 positive patients were retrospectively compared: group T (n = 30) receiving tocilizumab and group non-T (n = 27) undergoing only antivirals/antimalarials. Chest-CT and laboratory findings were analyzed before and after treatment.
Objectives: To correlate a CT-based semi-quantitative score of pulmonary involvement in COVID-19 pneumonia with clinical staging of disease and laboratory findings. We also aimed to investigate whether CT findings may be predictive of patients' outcome.
Methods: From March 6 to March 22, 2020, 130 symptomatic SARS-CoV-2 patients were enrolled for this single-center analysis and chest CT examinations were retrospectively evaluated.