Primary study · included by 1 review
Classifying Neck Lymph Nodes of Head and Neck Squamous Cell Carcinoma in MRI Images with Radiomic Features.
Ho 2020 · Ho Tsung-Ying, Chao Chun-Hung, Chin Shy-Chyi, et al. · Journal of digital imaging · 2020
Included by
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
Sensitivity AI-based algorithms (radiomics machine learning or deep learning) applied to MRI vs Histopathology reference standard (cervical lymph node status) | Sensitivity 0.71 | 7 studies | GRADE not reported |
Sensitivity AI-based algorithms (radiomics machine learning or deep learning) applied to MRI vs Histopathology reference standard (cervical lymph node status) | Sensitivity 0.72 [0.62, 0.80] | 7 studies · 548 participants | Low |
Sensitivity AI-based algorithms (radiomics machine learning or deep learning) applied to MRI vs Histopathology reference standard (cervical lymph node status) | Sensitivity 0.725 | 6 studies | GRADE not reported |
1 including review in total.