238 related articles for article (PubMed ID: 36387220)
1. Prediction of single pulmonary nodule growth by CT radiomics and clinical features - a one-year follow-up study.
Yang R; Hui D; Li X; Wang K; Li C; Li Z
Front Oncol; 2022; 12():1034817. PubMed ID: 36387220
[TBL] [Abstract][Full Text] [Related]
2. Establishment and verification of a prediction model based on clinical characteristics and computed tomography radiomics parameters for distinguishing benign and malignant pulmonary nodules.
Hou X; Wu M; Chen J; Zhang R; Wang Y; Zhang S; Yuan Z; Feng J; Xu L
J Thorac Dis; 2024 Mar; 16(3):1984-1995. PubMed ID: 38617763
[TBL] [Abstract][Full Text] [Related]
3. Imaging biomarkers to stratify lymph node metastases in abdominal CT - Is radiomics superior to dual-energy material decomposition?
Mahmoudi S; Koch V; Santos DPD; Ackermann J; Grünewald LD; Weitkamp I; Yel I; Martin SS; Albrecht MH; Scholtz JE; Vogl TJ; Bernatz S
Eur J Radiol Open; 2023; 10():100459. PubMed ID: 36561422
[TBL] [Abstract][Full Text] [Related]
4. Comparison of Comprehensive Morphological and Radiomics Features of Subsolid Pulmonary Nodules to Distinguish Minimally Invasive Adenocarcinomas and Invasive Adenocarcinomas in CT Scan.
Qiu L; Zhang X; Mao H; Fang X; Ding W; Zhao L; Chen H
Front Oncol; 2021; 11():691112. PubMed ID: 35059308
[TBL] [Abstract][Full Text] [Related]
5. Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer.
Choi W; Oh JH; Riyahi S; Liu CJ; Jiang F; Chen W; White C; Rimner A; Mechalakos JG; Deasy JO; Lu W
Med Phys; 2018 Apr; 45(4):1537-1549. PubMed ID: 29457229
[TBL] [Abstract][Full Text] [Related]
6. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
[TBL] [Abstract][Full Text] [Related]
7. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
Shan D; Wang J; Qi P; Lu J; Wang D
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
[TBL] [Abstract][Full Text] [Related]
8. Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules.
Shen Y; Xu F; Zhu W; Hu H; Chen T; Li Q
Ann Transl Med; 2020 Mar; 8(5):171. PubMed ID: 32309318
[TBL] [Abstract][Full Text] [Related]
9. Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status.
He J; Ren J; Niu G; Liu A; Wu Q; Xie S; Ma X; Li B; Wang P; Shen J; Wu J; Gao Y
BMC Med Imaging; 2022 Aug; 22(1):137. PubMed ID: 35931979
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Can texture analysis based on single unenhanced CT accurately predict the WHO/ISUP grading of localized clear cell renal cell carcinoma?
Wang X; Song G; Jiang H; Zheng L; Pang P; Xu J
Abdom Radiol (NY); 2021 Sep; 46(9):4289-4300. PubMed ID: 33909090
[TBL] [Abstract][Full Text] [Related]
12. Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches.
Warkentin MT; Al-Sawaihey H; Lam S; Liu G; Diergaarde B; Yuan JM; Wilson DO; Atkar-Khattra S; Grant B; Brhane Y; Khodayari-Moez E; Murison KR; Tammemagi MC; Campbell KR; Hung RJ
Thorax; 2024 Mar; 79(4):307-315. PubMed ID: 38195644
[TBL] [Abstract][Full Text] [Related]
13. Prediction of Changes in Tumor Regression during Radiotherapy for Nasopharyngeal Carcinoma by Using the Computed Tomography-Based Radiomics.
Yang Y; Wu J; Mai W; Li H
Contrast Media Mol Imaging; 2022; 2022():3417480. PubMed ID: 36226269
[TBL] [Abstract][Full Text] [Related]
14. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
15. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C
Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865
[TBL] [Abstract][Full Text] [Related]
16. A predictive nomogram for two-year growth of CT-indeterminate small pulmonary nodules.
Xue LM; Li Y; Zhang Y; Wang SC; Zhang RY; Ye JD; Yu H; Qiang JW
Eur Radiol; 2022 Apr; 32(4):2672-2682. PubMed ID: 34677668
[TBL] [Abstract][Full Text] [Related]
17. Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules.
Liu J; Qi L; Wang Y; Li F; Chen J; Cui S; Cheng S; Zhou Z; Li L; Wang J
Eur Radiol Exp; 2024 Jan; 8(1):8. PubMed ID: 38228868
[TBL] [Abstract][Full Text] [Related]
18. Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter study.
Zhang R; Hong M; Cai H; Liang Y; Chen X; Liu Z; Wu M; Zhou C; Bao C; Wang H; Yang S; Hu Q
Quant Imaging Med Surg; 2023 Dec; 13(12):7828-7841. PubMed ID: 38106261
[TBL] [Abstract][Full Text] [Related]
19. High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms.
Shiri I; Mostafaei S; Haddadi Avval A; Salimi Y; Sanaat A; Akhavanallaf A; Arabi H; Rahmim A; Zaidi H
Sci Rep; 2022 Sep; 12(1):14817. PubMed ID: 36050434
[TBL] [Abstract][Full Text] [Related]
20. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
