Background: Colonoscopy is considered to be the standard diagnostic test for detecting colonic neoplasia, particularly for small lesions. However, recent publications have suggested that 15-27% of small adenomas might be missed during conventional colonoscopy.
Aims: To determine whether computed virtual chromoendoscopy (CVC) can improve the detection of small adenomas as compared to conventional colonoscopy.
Methods: We examined 135 consecutive patients by total colonoscopy and 128 patients were randomized to compare white-light colonoscopy (65 patients) and CVC-mode colonoscopy (63 patients) after the exclusion of seven patients because of poor bowel preparation (n = 4) or other causes (one sigmoid colon cancer, two intestinal tuberculosis).
Results: There were no differences between the patient characteristics for the two study groups, i.e., age, sex, body mass index, quality of bowel preparations, indications for the procedure, conscious sedation, and examination times-both insertion time and withdrawal time. The groups did not differ in the number of patients with all polyps, adenomas, or hyperplastic polyps. In the patients with adenomas, however, there was a significant difference in the detection rate for the patients with small adenomas less than 5 mm in size (P = 0.006).
Conclusions: Colonoscopy with the CVC mode identified more patients with small colorectal adenomas than conventional white-light colonoscopy. Therefore, CVC might be a supplementary tool aiding the colonoscopist in the detection of small adenomas; however, further studies will need to demonstrate whether these results are reproducible across patients in varied clinical settings.
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http://dx.doi.org/10.1007/s10620-009-1003-1 | DOI Listing |
Front Oncol
December 2024
Department of Neurosurgery and Neurorestoration, Klinikum Klagenfurt am Wörthersee, Klagenfurt, Austria.
Background: Skull base tumors represent a small subset of intracranial neoplasm. Due to their proximity to critical neurovascular structures, their resection often leads to morbidity. As a result, surgical interventions can exacerbate symptoms or cause new deficits, thereby impacting the patients' perceived quality of life (QoL).
View Article and Find Full Text PDFCell Mol Life Sci
December 2024
Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Aldosterone-producing adenoma (APA) is a leading cause of primary aldosteronism (PA), a condition marked by excessive aldosterone secretion. CYP11B2, the aldosterone synthase, plays a critical role in aldosterone biosynthesis and the development of APA. Despite its significance, encoding regulatory mechanisms governing CYP11B2, particularly its degradation, remain poorly understood.
View Article and Find Full Text PDFBackground: Artificial intelligence (AI) has significantly impacted medical imaging, particularly in gastrointestinal endoscopy. Computer-aided detection and diagnosis systems (CADe and CADx) are thought to enhance the quality of colonoscopy procedures.
Summary: Colonoscopy is essential for colorectal cancer screening, but often misses a significant percentage of adenomas.
Virchows Arch
December 2024
Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan.
Basal cell adenomas (BCAs) are benign epithelial tumors of the salivary gland, characterized by the proliferation of basaloid and luminal cells. In addition, a distinctive spindle cell stroma, that is immunohistochemically-positive for S100, is often observed in BCAs. Based on the ultrastructural findings, the S100-positive stroma was presumed to originate from neoplastic myoepithelial cells.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of Endocrine Surgery, University College London Hospital, London, United Kingdom.
Background: Surgery is the preferred treatment for primary hyperparathyroidism. Minimally invasive parathyroidectomy is only feasible with accurate preoperative localisation. Virtual 3D anatomical models can be constructed from patient-specific CT scans using segmentation software.
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