Research on the Application Effect of Digital Pathology-Assisted Technology in the Differential Diagnosis of Left and Right Hemicolon Cancer

Abstract

Objective: To explore the application value of digital pathology-assisted technology in the differential diagnosis of left and right hemicolon cancer, compare the efficacy differences between conventional pathological diagnosis and digital pathology-assisted diagnosis, and provide a basis for clinical precise differential diagnosis. Methods: A total of 200 patients with colon cancer who underwent surgery in our hospital from October 2024 to October 2025 were selected as the study subjects. They were divided into a control group (100 cases) and an observation group (100 cases) according to the random number table method. The control group was diagnosed manually using conventional pathological sections, while the observation group was diagnosed with the assistance of digital pathological sections. Both groups clearly identified the lesion sites in the left and right hemicolon. The general data, diagnostic time consumption, diagnostic accuracy, and consistency in interpreting pathological features were compared between the two groups. Results: There were no statistically significant differences in general data such as gender, age, and disease duration between the two groups (p > 0.05). The average diagnostic time consumption in the observation group was significantly shorter than that in the control group, the diagnostic accuracy rate was significantly higher, and the misdiagnosis rates were significantly lower (all p < 0.05). There was no statistically significant difference in the missed diagnosis rate (p = 0.088 > 0.05). The consistency rates in interpreting the four indicators of tumor differentiation degree, infiltration depth, lymph node metastasis, and pathological morphology in the observation group were higher than those in the control group (all p < 0.05). Conclusion: The application of digital pathology-assisted technology in the differential diagnosis of left and right hemicolon cancer can significantly shorten the diagnostic time, improve the diagnostic accuracy rate, reduce the risks of misdiagnosis and missed diagnosis, and enhance the consistency in interpreting pathological features. It is suitable for promotion and application in clinical pathological diagnosis.