134 related articles for article (PubMed ID: 35430397)
21. An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas.
Park CJ; Choi SH; Eom J; Byun HK; Ahn SS; Chang JH; Kim SH; Lee SK; Park YW; Yoon HI
Radiat Oncol; 2022 Aug; 17(1):147. PubMed ID: 35996160
[TBL] [Abstract][Full Text] [Related]
22. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics.
Bian T; Wu Z; Lin Q; Mao Y; Wang H; Chen J; Chen Q; Fu G; Cui C; Su X
J Magn Reson Imaging; 2022 Mar; 55(3):772-784. PubMed ID: 34453461
[TBL] [Abstract][Full Text] [Related]
23. Diagnostic nomogram model for predicting preoperative pathological grade of meningioma.
Peng S; Cheng Z; Guo Z
Transl Cancer Res; 2021 Sep; 10(9):4057-4064. PubMed ID: 35116703
[TBL] [Abstract][Full Text] [Related]
24. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
[TBL] [Abstract][Full Text] [Related]
25. Application of a nomogram to radiomics labels in the treatment prediction scheme for lumbar disc herniation.
Yu G; Yang W; Zhang J; Zhang Q; Zhou J; Hong Y; Luo J; Shi Q; Yang Z; Zhang K; Tu H
BMC Med Imaging; 2022 Mar; 22(1):51. PubMed ID: 35305577
[TBL] [Abstract][Full Text] [Related]
26. Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation.
Kong J; Zheng J; Wu J; Wu S; Cai J; Diao X; Xie W; Chen X; Yu H; Huang L; Fang H; Fan X; Qin H; Li Y; Wu Z; Huang J; Lin T
J Transl Med; 2022 Jan; 20(1):31. PubMed ID: 35033104
[TBL] [Abstract][Full Text] [Related]
27. A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours.
Sun W; Liu S; Guo J; Liu S; Hao D; Hou F; Wang H; Xu W
Cancer Imaging; 2021 Feb; 21(1):20. PubMed ID: 33549151
[TBL] [Abstract][Full Text] [Related]
28. A nomogram for predicting the risk of major postoperative complications for patients with meningioma.
Guo ZQ; Xia XY; Cao D; Chen X; He Y; Wang BF; Guo DS; Chen J
Neurosurg Rev; 2023 Oct; 46(1):288. PubMed ID: 37907646
[TBL] [Abstract][Full Text] [Related]
29. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
[TBL] [Abstract][Full Text] [Related]
30. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
31. Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI.
Han Y; Wang T; Wu P; Zhang H; Chen H; Yang C
Magn Reson Imaging; 2021 Apr; 77():36-43. PubMed ID: 33220449
[TBL] [Abstract][Full Text] [Related]
32. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
[TBL] [Abstract][Full Text] [Related]
33. Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.
Cepeda S; Arrese I; García-García S; Velasco-Casares M; Escudero-Caro T; Zamora T; Sarabia R
World Neurosurg; 2021 Feb; 146():e1147-e1159. PubMed ID: 33259973
[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. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
36. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
[TBL] [Abstract][Full Text] [Related]
37. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
38. Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach.
Zheng J; Kong J; Wu S; Li Y; Cai J; Yu H; Xie W; Qin H; Wu Z; Huang J; Lin T
Cancer; 2019 Dec; 125(24):4388-4398. PubMed ID: 31469418
[TBL] [Abstract][Full Text] [Related]
39. An MRI-Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors.
Zhang H; Wang H; Hao D; Ge Y; Wan G; Zhang J; Liu S; Zhang Y; Xu D
J Magn Reson Imaging; 2021 Jan; 53(1):141-151. PubMed ID: 32776393
[TBL] [Abstract][Full Text] [Related]
40. MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer.
Li Y; Ren J; Yang JJ; Cao Y; Xia C; Lee EYP; Chen B; Guan H; Qi YF; Gao X; Tang W; Chen K; Jin ZY; He YL; Xiang Y; Xue HD
Eur Radiol; 2022 Jun; 32(6):3985-3995. PubMed ID: 35018480
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]