317 related articles for article (PubMed ID: 34467768)
1. 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]
2. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue.
Chu LC; Park S; Kawamoto S; Fouladi DF; Shayesteh S; Zinreich ES; Graves JS; Horton KM; Hruban RH; Yuille AL; Kinzler KW; Vogelstein B; Fishman EK
AJR Am J Roentgenol; 2019 Aug; 213(2):349-357. PubMed ID: 31012758
[No Abstract] [Full Text] [Related]
3. 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]
4. 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]
5. Radiomics model-based algorithm for preoperative prediction of pancreatic ductal adenocarcinoma grade.
Tikhonova VS; Karmazanovsky GG; Kondratyev EV; Gruzdev IS; Mikhaylyuk KA; Sinelnikov MY; Revishvili AS
Eur Radiol; 2023 Feb; 33(2):1152-1161. PubMed ID: 35986774
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging.
Zhang Y; Lobo-Mueller EM; Karanicolas P; Gallinger S; Haider MA; Khalvati F
BMC Med Imaging; 2020 Feb; 20(1):11. PubMed ID: 32013871
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls.
Chu LC; Solmaz B; Park S; Kawamoto S; Yuille AL; Hruban RH; Fishman EK
Abdom Radiol (NY); 2020 Aug; 45(8):2469-2475. PubMed ID: 32372206
[TBL] [Abstract][Full Text] [Related]
10. Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images.
Zhang Y; Lobo-Mueller EM; Karanicolas P; Gallinger S; Haider MA; Khalvati F
Sci Rep; 2021 Jan; 11(1):1378. PubMed ID: 33446870
[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. Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy.
Polk SL; Choi JW; McGettigan MJ; Rose T; Ahmed A; Kim J; Jiang K; Balagurunathan Y; Qi J; Farah PT; Rathi A; Permuth JB; Jeong D
World J Gastroenterol; 2020 Jun; 26(24):3458-3471. PubMed ID: 32655269
[TBL] [Abstract][Full Text] [Related]
13. Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis.
Attiyeh MA; Chakraborty J; Doussot A; Langdon-Embry L; Mainarich S; Gönen M; Balachandran VP; D'Angelica MI; DeMatteo RP; Jarnagin WR; Kingham TP; Allen PJ; Simpson AL; Do RK
Ann Surg Oncol; 2018 Apr; 25(4):1034-1042. PubMed ID: 29380093
[TBL] [Abstract][Full Text] [Related]
14. Contrast-enhanced CT radiomics for predicting lymph node metastasis in pancreatic ductal adenocarcinoma: a pilot study.
Li K; Yao Q; Xiao J; Li M; Yang J; Hou W; Du M; Chen K; Qu Y; Li L; Li J; Wang X; Luo H; Yang J; Zhang Z; Chen W
Cancer Imaging; 2020 Jan; 20(1):12. PubMed ID: 32000852
[TBL] [Abstract][Full Text] [Related]
15. DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing.
Yao J; Shi Y; Cao K; Lu L; Lu J; Song Q; Jin G; Xiao J; Hou Y; Zhang L
Med Image Anal; 2021 Oct; 73():102150. PubMed ID: 34303891
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with
Jiang C; Yuan Y; Gu B; Ahn E; Kim J; Feng D; Huang Q; Song S
Clin Radiol; 2023 Sep; 78(9):687-696. PubMed ID: 37365115
[TBL] [Abstract][Full Text] [Related]
19. Radiomics model of dual-time 2-[
Liu Z; Li M; Zuo C; Yang Z; Yang X; Ren S; Peng Y; Sun G; Shen J; Cheng C; Yang X
Eur Radiol; 2021 Sep; 31(9):6983-6991. PubMed ID: 33677645
[TBL] [Abstract][Full Text] [Related]
20. An Automated Prognostic Model for Pancreatic Ductal Adenocarcinoma.
Vezakis I; Vezakis A; Gourtsoyianni S; Koutoulidis V; Polydorou AA; Matsopoulos GK; Koutsouris DD
Genes (Basel); 2023 Aug; 14(9):. PubMed ID: 37761882
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
