164 related articles for article (PubMed ID: 34324004)
21. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
[TBL] [Abstract][Full Text] [Related]
22. Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia.
Li L; Wang L; Zeng F; Peng G; Ke Z; Liu H; Zha Y
Eur Radiol; 2021 Oct; 31(10):7901-7912. PubMed ID: 33786655
[TBL] [Abstract][Full Text] [Related]
23. Radiomics for intracerebral hemorrhage: are all small hematomas benign?
Zhan C; Chen Q; Zhang M; Xiang Y; Chen J; Zhu D; Chen C; Xia T; Yang Y
Br J Radiol; 2021 Mar; 94(1119):20201047. PubMed ID: 33332987
[TBL] [Abstract][Full Text] [Related]
24. Clinical Features, Non-Contrast CT Radiomic and Radiological Signs in Models for the Prediction of Hematoma Expansion in Intracerebral Hemorrhage.
Chen ZF; Zhang L; Carrington AM; Thornhill R; Miguel O; Auriat AM; Omid-Fard N; Hiremath S; Tshemeister Abitbul V; Dowlatshahi D; Demchuk A; Gladstone D; Morotti A; Casetta I; Fainardi E; Huynh T; Elkabouli M; Talbot Z; Melkus G; Aviv RI
Can Assoc Radiol J; 2023 Nov; 74(4):713-722. PubMed ID: 37070854
[TBL] [Abstract][Full Text] [Related]
25. A Comparative Study of a Nomogram and Machine Learning Models in Predicting Early Hematoma Expansion in Hypertensive Intracerebral Hemorrhage.
Ye H; Jiang Y; Wu Z; Ruan Y; Shen C; Xu J; Han W; Jiang R; Cai J; Liu Z
Acad Radiol; 2024 Jun; ():. PubMed ID: 38937153
[TBL] [Abstract][Full Text] [Related]
26. Perihematomal edema-based CT-radiomics model to predict functional outcome in patients with intracerebral hemorrhage.
Huang X; Wang D; Ma Y; Zhang Q; Ren J; Zhao H; Li S; Deng J; Yang J; Zhao Z; Xu M; Zhou Q; Zhou J
Diagn Interv Imaging; 2023 Sep; 104(9):391-400. PubMed ID: 37179244
[TBL] [Abstract][Full Text] [Related]
27. An Online Dynamic Radiomics-Clinical Nomogram to Predict Recurrence in Patients with Spontaneous Intracerebral Hemorrhage.
Luo Z; Zhou Y; Yu M; Xu H; Tao X; Jiang Z; Wang M; Ye Z; Yang Y; Zhu D
World Neurosurg; 2024 Mar; 183():e638-e648. PubMed ID: 38181873
[TBL] [Abstract][Full Text] [Related]
28. Machine learning-based modified BAT score in predicting hematoma enlargement after spontaneous intracerebral hemorrhage.
Zhou H; Zhou Z; Song Z; Li X
J Clin Neurosci; 2021 Nov; 93():206-212. PubMed ID: 34656249
[TBL] [Abstract][Full Text] [Related]
29. A predictive nomogram for intracerebral hematoma expansion based on non-contrast computed tomography and clinical features.
Zhang X; Gao Q; Chen K; Wu Q; Chen B; Zeng S; Fang X
Neuroradiology; 2022 Aug; 64(8):1547-1556. PubMed ID: 35083504
[TBL] [Abstract][Full Text] [Related]
30. Prediction of Hematoma Expansion in Hypertensive Intracerebral Hemorrhage by a Radiomics Nomogram.
Dai J; Liu D; Li X; Liu Y; Wang F; Yang Q
Pak J Med Sci; 2023; 39(4):1149-1155. PubMed ID: 37492285
[TBL] [Abstract][Full Text] [Related]
31. A non-contrast computed tomography-based radiomics nomogram for the prediction of hematoma expansion in patients with deep ganglionic intracerebral hemorrhage.
Xu W; Guo H; Li H; Dai Q; Song K; Li F; Zhou J; Yao J; Wang Z; Liu X
Front Neurol; 2022; 13():974183. PubMed ID: 36303563
[TBL] [Abstract][Full Text] [Related]
32. A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver.
Nie P; Yang G; Guo J; Chen J; Li X; Ji Q; Wu J; Cui J; Xu W
Cancer Imaging; 2020 Feb; 20(1):20. PubMed ID: 32093786
[TBL] [Abstract][Full Text] [Related]
33. Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage.
Pszczolkowski S; Manzano-Patrón JP; Law ZK; Krishnan K; Ali A; Bath PM; Sprigg N; Dineen RA
Eur Radiol; 2021 Oct; 31(10):7945-7959. PubMed ID: 33860831
[TBL] [Abstract][Full Text] [Related]
34. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
35. Predicting Hematoma Expansion and Prognosis in Cerebral Contusions: A Radiomics-Clinical Approach.
He H; Liu J; Li C; Guo Y; Liang K; Du J; Xue J; Liang Y; Chen P; Liu L; Cui M; Wang J; Liu Y; Tian S; Deng Y
J Neurotrauma; 2024 Jun; 41(11-12):1337-1352. PubMed ID: 38326935
[TBL] [Abstract][Full Text] [Related]
36. Nomogram Model for Predicting Hematoma Expansion in Spontaneous Intracerebral Hemorrhage: Multicenter Retrospective Study.
Yang M; Du C; Zhang Q; Ma Q; Li R
World Neurosurg; 2020 May; 137():e470-e478. PubMed ID: 32058111
[TBL] [Abstract][Full Text] [Related]
37. Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study.
Zhang K; Zhou X; Xi Q; Wang X; Yang B; Meng J; Liu M; Dong N; Wu X; Song T; Wei L; Wang P
J Clin Med; 2023 Feb; 12(4):. PubMed ID: 36836120
[TBL] [Abstract][Full Text] [Related]
38. Predicting Hemorrhage Progression in Deep Intracerebral Hemorrhage: A Multicenter Retrospective Cohort Study.
Song L; Zhou H; Guo T; Qiu X; Tang D; Zou L; Ye Y; Fu Y; Wang R; Wang L; Mao H; Yu Y
World Neurosurg; 2023 Feb; 170():e387-e401. PubMed ID: 36371042
[TBL] [Abstract][Full Text] [Related]
39. A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer.
Xie Y; Zhao H; Guo Y; Meng F; Liu X; Zhang Y; Huai X; Wong Q; Fu Y; Zhang H
Eur Radiol; 2021 Aug; 31(8):6030-6038. PubMed ID: 33560457
[TBL] [Abstract][Full Text] [Related]
40. Comments on this Article Non-Contrast CT-Based Radiomics Score for Predicting Hematoma Enlargement in Spontaneous Intracerebral Hemorrhage.
Chen K
Clin Neuroradiol; 2023 Sep; 33(3):855. PubMed ID: 37185669
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]