MDCT of gastroesophageal masses correlated with histopathological findings
Aim: Estimation the role of Multi-Detector Computed Tomography in diagnosis and staging of gastroesophageal masses with histopathological findings. Inclusion criteria: Any age, sex with gastroesophageal masses while. Results: Multi detector computed tomography could predict T2 staging with 75% sensitivity, 97.83% specificity, 75% Positive Predictive Value (PPV), 97.83% Negative Predictive Value (NPP), and 96% accuracy. Multi-Detector Computed Tomography could predict T3 staging with 81.25% sensitivity, 97.06% specificity, 92.86% Positive Predictive Value (PPV), 91.67% Negative Predictive Value (NPP) and 92% accuracy. Multi-Detector Computed Tomography could predict T1 staging with 66.67% sensitivity, 93.18% specificity, 57.14% Positive Predictive Value (PPV), 95.35% Negative Predictive Value (NPP), and 90.00% accuracy. Multi-detector computed tomography could predict T4 staging with 95.45% sensitivity, 100% specificity, 100% Positive Predictive Value (PPV), 96.55% Negative Predictive Value (NPP), and 98% accuracy. Conclusion: Multi detector computed tomography has proper diagnosis, staging as well as follow-up of patients with cancer esophageal and stomach.
Authors
- Mahdi Salih (ORCID: https://orcid.org/0000-0002-4568-8967)
- Hisham Al-Sayed Al-Sheikh
- Mohamed Awaad Tawfik
Publication Details
- Journal
- International Journal of Radiology and Diagnostic Imaging
- Published
- 2025-01-01
- DOI
- https://doi.org/10.33545/26644436.2025.v8.i1b.441
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00