# How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke?
## 2 Radiomics
### Differentiation Hemorrhage from Idonimated Contrast Extravasation after Thrombectomy
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**Author** & **Year** & **Type** & **N** & **Target** & **Tentitory** & **RF** & **Type of Imaging** & **Results** & **Conclusions** \\ \hline Avery et al. [21] & 2022 & R & 829 & Prognostic prediction & ALVO & 1116 & CTA & AUC between 0.81 and 0.82 & RFs could help in patients with limited clinical information. & \\ Cui H et al. [22] & 2018 & R & 70 & Prognostic prediction & NA & 251 & MRI & AUC of 0.821-0983 & The classification model improves when RFs are included. & \\ \hline Wang et al. [23] & 2021 & R & 598 & Prognostic prediction & Inafert & 402 & MRI & AUC of 0.80 & A combined nomogram based on MRI has a good performance in prognosis prediction. \\ \hline Gerbssi A et al. [24] & 2022 & R & 164 & Prognostic prediction & ALVO & 107 & MRI & AUC of 0.85 & A combined model can help in the long-term functional outcome prediction. \\ \hline Gao Y et al. [25] & 2022 & R & 56 & Prognostic prediction & NA & 65800 & MRI & AUC of 0.988 and 0.884 & RFs can help to predict functional outcomes in ischemic stroke patients. \\ \hline Gao Y et al. [26] & 2022 & R & 78 & Prognostic prediction & WB & 1674 & MRI & AUC of 0.971 & RFs can predict functional recovery after three months. \\ \hline Jiang L et al. [27] & 2022 & R & 1716 & Prognostic prediction & NA & NA & MRI & AUC of 0.82 & A combined model can predict outcomes of AIS patients. \\ \hline Li et al. [28] & 2023 & R & 102 & Prognostic prediction & MCA & 1389 & MRI & AUC of 0.88 and 0.79 & A combined model can predict a poor prognosis in AIS patients. \\ \hline Ramos et al. [29] & 2022 & R & 3279 & Prognostic prediction & WB & 1260 & CTA & AUC of 0.61 & The combined model obtained better results than the official model. \\ \hline Li et al. [90] & 2022 & R & 260 & Prognostic prediction & Inafert & 1936 & MRI & AUC of 0.945 and 0.920 & MRI-based radiomics have high predictive efficiency for the prognostic prediction of AIS patients after three months. \\ \hline Quan et al. [31] & 2021 & R & 190 & Prognostic prediction & Hyperintensities & 753 & MRI & AUC of 0.926-0.864 & MRI-based radiomics can predict unforvable outcomes (MDS \(\geq\) 2). \\ \hline Tang et al. [23] & 2020 & R & 168 & Prognostic prediction & Premurba & 456 & CT/MRI & AUC of 0.886 & Radiomics comparison adds more value to the current clinical decision-making process. \\ \hline Tolhuisen et al. [33] & 2022 & R & 206 & Prognostic prediction & Inafert & 100 & MRI & AUC of 0.88-0.81 & MRI-based radiomics can provide important information to the functional outcome prediction in AIS patients. \\ \hline Yu et al. [34] & 2022 & R & 148 & Prognostic prediction & Inafert & 4744 & MRI & AUC of 0.902 & A randomics model based on MRI imaging & \\  & & & & & & & & & & \\  & & & & & & & & & & \\  & & & & & & & & & \\  & & & & & & & & & \\  & & & & & & & & & \\ \end{tabular}
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Table 1: Articles published about radiomics in AIS. \begin{table}
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**Author** & **Year** & **Type** & **N** & **Target** & **Tentology** & **RF** & **Type of Imaging** & **Results** & **Conclusions** \\ \hline Zhou et al. [55] & 2022 & R & 522 & Prognostic prediction & Ischemic & 1310 & MRI & AUC of 0.868-0.900 & A combined model outperformed individual clinical or radiomics models in predicting all outcomes. & & A combined model outperformed individual clinical or radiomics models in predicting all outcomes. \\ \hline Guan Y et al. [56] & 2020 & R & 56 & Identification of IS & NA & 1301 & CT/AMER & Best Acc of 0.7748 & There are RFs correlated with acute cervical infarction. \\ \hline Gao Y et al. [57] & 2022 & R & 88 & Identification of IS & WB & 1674 & MRI & AUC of 0.925 (58.083) & RF is a potential clinical tool which could help in the diagnosis and outcome prediction prediction \\  & & & & & & & (NHES), and 0.828 (outcome prediction) & before treatment. \\ \hline Zhang et al. [58] & 2023 & R & 355 & Identification of IS & Brainstem & 1781 & CT & AUC of 0.99 and 0.91 & CT-based radiomics can detect early brainstem infarction.