Factors Affecting Adenoma Risk Level in Patients with Intestinal Polyp and Association Analysis

Abstract

Objective. To explore the factors affecting the adenoma risk level in patients with intestinal polyp and association. Methods. The clinical data of 3,911 patients with intestinal polyp treated in our hospital from January 2018 to January 2021 were retrospectively analyzed, all patients accepted the histopathological examination, their risk of suffering from adenoma was evaluated according to the results of pathological diagnosis, and relevant hazard factors affecting adenoma risk level in them were analyzed by multifactor logistic regression analysis. Results. The results of multifactor logistic analysis showed that male gender, age ≥60 years, number of polyps >3, diameter ≥2 cm, onset at colon, and physiologically tubulovillous adenoma were the hazard factors causing high-grade adenoma risk in patients with intestinal polyp. Conclusion. There are many risk factors causing high-grade adenoma in patients with intestinal polyp, and therefore, the screening for high-risk population shall be enhanced to reduce the potential of carcinomatous change in such patients.

Application of Pelvic Magnetic Resonance Imaging Scan Combined with Serum Pyruvate Kinase Isozyme M2, Neutrophil Gelatinase‐Associated Lipocalin, and Soluble Leptin Receptor Detection in Diagnosing Endometrial Carcinoma

“…With the advancement of medical technology, some scholars have pointed out that combining MRI scan with serum detection can obtain better results than single detection [ 24 , 25 ]. In this study, the numbers of true positive cases detected by single detection of pelvic MRI scan and serum PKM2, NGAL, and sOB-R were obviously lower than that of joint detection, and the sensitivity, specificity and accuracy rate were also obviously lower in single detection than in joint detection, indicating that applying the diagnostic modalities such as pelvic MRI scan and serum PKM2, NGAL and sOB-R detection alone did not obtain desirable diagnostic efficacy and high diagnostic sensitivity, specificity and accuracy rate, and that the joint detection achieved better diagnostic results because it could provide more rich positive diagnostic information in clinic through different means.…”

Classification of Polyps in Endoscopic Images Using Self-Supervised Structured Learning

“…Colorectal cancer accounts for a significant amount of cancer deaths in various countries, especially in Taiwan. These abnormal growths are called polyps and can become colorectal cancer [1], [2]. The current technique for detecting colorectal cancer involves stool tests and colonoscopy.…”