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.

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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
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article

MDCT of gastroesophageal masses correlated with histopathological findings

Mahdi Salih, Hisham Al-Sayed Al-Sheikh, Mohamed Awaad Tawfik
International Journal of Radiology and Diagnostic Imaging
Radiomics and Machine Learning in Medical Imaging
article

MDCT of gastroesophageal masses correlated with histopathological findings

Mahdi Salih, Hisham Al-Sayed Al-Sheikh, Mohamed Awaad Tawfik
article en

Abstract

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.

International Journal of Radiology and Diagnostic ImagingVol. 8(1)
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Radiomics and Machine Learning in Medical Imaging
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MDCT of gastroesophageal masses correlated with histopathological findings — Mahdi Salih, Hisham Al-Sayed Al-Sheikh, et al. · International Journal of Radiology and Diagnostic Imaging (2025) | TGRS Research Map | TGRS