160 related articles for article (PubMed ID: 38085810)
1. Development of a radiomics-based model to predict occult liver metastases of pancreatic ductal adenocarcinoma: a multicenter study.
Zhao B; Xia C; Xia T; Qiu Y; Zhu L; Cao B; Gao Y; Ge R; Cai W; Ding Z; Yu Q; Lu C; Tang T; Wang Y; Song Y; Long X; Ye J; Lu D; Ju S
Int J Surg; 2024 Feb; 110(2):740-749. PubMed ID: 38085810
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.
Shi S; Lin C; Zhou J; Wei L; Chen M; Zhang J; Cao K; Fan Y; Huang B; Luo Y; Feng ST
Int J Surg; 2024 May; 110(5):2669-2678. PubMed ID: 38445459
[TBL] [Abstract][Full Text] [Related]
3. Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation.
Healy GM; Salinas-Miranda E; Jain R; Dong X; Deniffel D; Borgida A; Hosni A; Ryan DT; Njeze N; McGuire A; Conlon KC; Dodd JD; Ryan ER; Grant RC; Gallinger S; Haider MA
Eur Radiol; 2022 Apr; 32(4):2492-2505. PubMed ID: 34757450
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a radiomics model of magnetic resonance for predicting liver metastasis in resectable pancreatic ductal adenocarcinoma patients.
Huang Y; Zhou S; Luo Y; Zou J; Li Y; Chen S; Gao M; Huang K; Lian G
Radiat Oncol; 2023 May; 18(1):79. PubMed ID: 37165440
[TBL] [Abstract][Full Text] [Related]
5. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
Bian Y; Guo S; Jiang H; Gao S; Shao C; Cao K; Fang X; Li J; Wang L; Ma C; Zheng J; Jin G; Lu J
Cancer Imaging; 2022 Jan; 22(1):4. PubMed ID: 34991733
[TBL] [Abstract][Full Text] [Related]
6. CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma.
Park S; Sham JG; Kawamoto S; Blair AB; Rozich N; Fouladi DF; Shayesteh S; Hruban RH; He J; Wolfgang CL; Yuille AL; Fishman EK; Chu LC
AJR Am J Roentgenol; 2021 Nov; 217(5):1104-1112. PubMed ID: 34467768
[No Abstract] [Full Text] [Related]
7. Preoperative prediction of disease-free survival in pancreatic ductal adenocarcinoma patients after R0 resection using contrast-enhanced CT and CA19-9.
Li D; Peng Q; Wang L; Cai W; Liang M; Liu S; Ma X; Zhao X
Eur Radiol; 2024 Jan; 34(1):509-524. PubMed ID: 37507611
[TBL] [Abstract][Full Text] [Related]
8. Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study.
Liang L; Ding Y; Yu Y; Liu K; Rao S; Ge Y; Zeng M
BMC Med Imaging; 2021 Apr; 21(1):75. PubMed ID: 33902469
[TBL] [Abstract][Full Text] [Related]
9. Prediction of postoperative liver metastasis in pancreatic ductal adenocarcinoma based on multiparametric magnetic resonance radiomics combined with serological markers: a cohort study of machine learning.
Yuan Z; Shu Z; Peng J; Wang W; Hou J; Han L; Zheng G; Wei Y; Zhong J
Abdom Radiol (NY); 2024 Jan; 49(1):117-130. PubMed ID: 37819438
[TBL] [Abstract][Full Text] [Related]
10. Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection.
Xie T; Wang X; Li M; Tong T; Yu X; Zhou Z
Eur Radiol; 2020 May; 30(5):2513-2524. PubMed ID: 32006171
[TBL] [Abstract][Full Text] [Related]
11. Survival prediction after upfront surgery in patients with pancreatic ductal adenocarcinoma: Radiomic, clinic-pathologic and body composition analysis.
Shi H; Wei Y; Cheng S; Lu Z; Zhang K; Jiang K; Xu Q
Pancreatology; 2021 Jun; 21(4):731-737. PubMed ID: 33678581
[TBL] [Abstract][Full Text] [Related]
12. Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
Zeng P; Qu C; Liu J; Cui J; Liu X; Xiu D; Yuan H
Acta Radiol; 2023 Jul; 64(7):2221-2228. PubMed ID: 36474439
[TBL] [Abstract][Full Text] [Related]
13. Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8
Bian Y; Liu C; Li Q; Meng Y; Liu F; Zhang H; Fang X; Li J; Yu J; Feng X; Ma C; Zhao Z; Wang L; Xu J; Shao C; Lu J
J Magn Reson Imaging; 2022 Mar; 55(3):803-814. PubMed ID: 34355834
[TBL] [Abstract][Full Text] [Related]
14. Computed Tomography-based Radiomics Evaluation of Postoperative Local Recurrence of Pancreatic Ductal Adenocarcinoma.
He M; Chen X; Wels M; Lades F; Li Y; Liu Z; Jin Z; Xue H
Acad Radiol; 2023 Apr; 30(4):680-688. PubMed ID: 35906151
[TBL] [Abstract][Full Text] [Related]
15. Applying a radiomics-based strategy to preoperatively predict lymph node metastasis in the resectable pancreatic ductal adenocarcinoma.
Liu P; Gu Q; Hu X; Tan X; Liu J; Xie A; Huang F
J Xray Sci Technol; 2020; 28(6):1113-1121. PubMed ID: 33074215
[TBL] [Abstract][Full Text] [Related]
16. CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma.
Meng Y; Yu J; Zhu M; Zhou J; Li N; Liu F; Zhang H; Fang X; Li J; Feng X; Wang L; Jiang H; Lu J; Shao C; Bian Y
Abdom Radiol (NY); 2022 Aug; 47(8):2822-2834. PubMed ID: 35451626
[TBL] [Abstract][Full Text] [Related]
17. A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.
Kaissis G; Ziegelmayer S; Lohöfer F; Algül H; Eiber M; Weichert W; Schmid R; Friess H; Rummeny E; Ankerst D; Siveke J; Braren R
Eur Radiol Exp; 2019 Oct; 3(1):41. PubMed ID: 31624935
[TBL] [Abstract][Full Text] [Related]
18. Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?
Zambirinis CP; Midya A; Chakraborty J; Chou JF; Zheng J; McIntyre CA; Koszalka MA; Wang T; Do RK; Balachandran VP; Drebin JA; Kingham TP; D'Angelica MI; Allen PJ; Gönen M; Simpson AL; Jarnagin WR
Ann Surg Oncol; 2022 Aug; 29(8):4962-4974. PubMed ID: 35366706
[TBL] [Abstract][Full Text] [Related]
19. Preoperative evaluating early recurrence in resectable pancreatic ductal adenocarcinoma by using CT radiomics.
Wang G; Lei W; Duan S; Cao A; Shi H
Abdom Radiol (NY); 2024 Feb; 49(2):484-491. PubMed ID: 37955726
[TBL] [Abstract][Full Text] [Related]
20. Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal Adenocarcinoma.
Meng Y; Zhang H; Li Q; Xing P; Liu F; Cao K; Fang X; Li J; Yu J; Feng X; Ma C; Wang L; Jiang H; Lu J; Bian Y; Shao C
J Magn Reson Imaging; 2021 Nov; 54(5):1432-1443. PubMed ID: 33890347
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]