Loading
Archives of Gastroenterology Research
ISSN: 2692-5427
Optical Insights into Fibrotic Livers: Applications of Near-Infrared Spectroscopy and Machine Learning
Liver fibrosis staging is critical for patient selection and management prior to transplantation, but biopsy is invasive and serum biomarkers lack accuracy. Near-infrared spectroscopy (NIRS) is an emerging non-invasive technology that can detect liver fibrosis via changes in tissue composition. Machine learning (ML) enables analysis of NIRS data for diagnostic modeling.
Arch Gastroenterol Res, 2024, Volume 5, Issue 1, p1-10 | DOI: 10.33696/Gastroenterology.5.048Colonic Granular Cell Tumor
A 42-year-old asymptomatic woman presented for routine health checkup. Abdominal examination was unremarkable. The laboratory tests were normal. The chest radiograph, upper gastrointestinal endoscopy and abdominal computed tomography showed no abnormal findings. A colonoscopy was performed. A hepatic flexure polypoid mass (8 × 8 mm in diameter), covered with normal-appearing mucosa, was identified (Figure 1A).
Arch Gastroenterol Res, 2024, Volume 5, Issue 1, p11-12 | DOI: 10.33696/Gastroenterology.5.049A Case of Carcinoma Ex Pleomorphic Adenoma
A 50 year old female presented to our institute with complaints of foreign body sensation in oral cavity, the patient was evaluated by ENT department and there was a mass in oropharynx and right tonsillar region, the growth was biopsied and reported as carcinoma ex pleomorphic adenoma. The patient was offered surgical treatment but refused and started on paclitaxel based chemotherapy but the mass continued to grow and it lead to such a point that it was causing occlusion in the nasal cavity as well as oral cavity leading to feeding and breathing difficulty as seen in Figure 1A.
Arch Gastroenterol Res, 2024, Volume 5, Issue 1, p13-14 | DOI: 10.33696/Gastroenterology.5.050Scientific Archives is a global publisher initiated with the mission of ensuring equal opportunity for accessing science to research community all over the world. Spreading research findings with great relevance to all channels without any barrier is our goal. We want to overcome the challenges of Open Access with ensured quality and transparency.