Publications by authors named "M Giovagnoli"
This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. The aim was to investigate the consensus and acceptance of the insiders on this issue.
View Article and Find Full Text PDFThis commentary aims to address the field of (AI) in (DP) both in terms of the global situation and research perspectives. It has four polarities. , it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology.
View Article and Find Full Text PDFIntroduction/objective: Differently from other digestive malignancies, gastric cancer (GC) pathobiology is still little known and understood. Recently, cytopathology and molecular biology on gastric juice/gastric lavage (GJ/GL) of GC patients have provided novel and interesting results in terms of screening, diagnosis, prognosis, and therapy. However, entertaining cytologic examination and molecular test as a unified solo-run test is previously unreported.
View Article and Find Full Text PDFBackground/aim: As of 2020, carbohydrate antigen 72.4 (Ca 72.4) has been rarely investigated in the gastric juice (GJ) of patients with gastric cancer (GC).
View Article and Find Full Text PDFArticle Synopsis
- Historically, intragastric exfoliative cytology (IEC) was primarily used for diagnosing gastric cancer (GC), but has been largely replaced by endoscopic biopsy methods.
- Recently, there is a resurgence of interest in IEC research due to its potential significance in understanding clinicopathological and prognostic factors of GC.
- Studies suggest that IEC can help identify aggressive tumor characteristics and may aid in determining treatment for patients at higher risk of recurrence or metastasis, ultimately improving their quality of life and life expectancy.