Year: 2025
Type: article
Study design: Observational Study
Abstract: The integration of histopathological analysis in oncology has been pivotal in enhancing cancer diagnosis, prognosis, and treatment decisions. Histopathology, through microscopic examination of tissue samples, provides invaluable insights into tumor characteristics, helping clinicians determine the type, grade, and stage of cancer. This research examines the role of histopathological techniques in improving healthcare delivery in oncology, focusing on diagnostic accuracy, personalized treatment strategies, and patient outcomes. A cohort study involving 500 cancer patients (200 breast cancer, 150 colorectal cancer, and 150 lung cancer) was conducted to assess the impact of histopathological insights on clinical decision-making. The study demonstrated that incorporating histopathology into the diagnostic workflow led to a 15% improvement in the accuracy of cancer diagnoses compared to standard imaging techniques. Additionally, histopathological findings guided treatment plans, contributing to a 20% increase in personalized therapy application, which subsequently resulted in a 10% improvement in overall patient survival rates. Statistical analysis was conducted using SPSS software, employing chi-square tests to evaluate diagnostic accuracy, survival analysis (Kaplan-Meier method) to assess patient outcomes, and logistic regression to determine the association between histopathological data and treatment response. Results showed a statistically significant correlation (p < 0.05) between histopathological insights and improved healthcare delivery in oncology. The data suggest that histopathology can significantly influence therapeutic decisions, leading to more effective and individualized cancer treatment.
Source: Journal of Neonatal Surgery
Authors: Tripti Dewangan, Aayush Vaishnaw
Institution: Kalinga University
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4407858164