290 related articles for article (PubMed ID: 32450841)
1. CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer.
Sun KY; Hu HT; Chen SL; Ye JN; Li GH; Chen LD; Peng JJ; Feng ST; Yuan YJ; Hou X; Wu H; Li X; Wu TF; Wang W; Xu JB
BMC Cancer; 2020 May; 20(1):468. PubMed ID: 32450841
[TBL] [Abstract][Full Text] [Related]
2. Development and Validation of a Computed Tomography-Based Radiomics Signature to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Gastric Cancer.
Wang W; Peng Y; Feng X; Zhao Y; Seeruttun SR; Zhang J; Cheng Z; Li Y; Liu Z; Zhou Z
JAMA Netw Open; 2021 Aug; 4(8):e2121143. PubMed ID: 34410397
[TBL] [Abstract][Full Text] [Related]
3. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of dual-energy CT derived radiomics signatures in predicting outcomes in patients with advanced gastric cancer after neoadjuvant chemotherapy.
Chen Y; Yuan F; Wang L; Li E; Xu Z; Wels M; Yao W; Zhang H
Eur J Surg Oncol; 2022 Feb; 48(2):339-347. PubMed ID: 34304951
[TBL] [Abstract][Full Text] [Related]
5. Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer.
Jiang Y; Chen C; Xie J; Wang W; Zha X; Lv W; Chen H; Hu Y; Li T; Yu J; Zhou Z; Xu Y; Li G
EBioMedicine; 2018 Oct; 36():171-182. PubMed ID: 30224313
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
[TBL] [Abstract][Full Text] [Related]
8. Delta computed tomography radiomics features-based nomogram predicts long-term efficacy after neoadjuvant chemotherapy in advanced gastric cancer.
Shen LL; Zheng HL; Ding FH; Lu J; Chen QY; Xu BB; Xue Z; Lin J; Huang CM; Zheng CH
Radiol Med; 2023 Apr; 128(4):402-414. PubMed ID: 36940007
[TBL] [Abstract][Full Text] [Related]
9. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer.
Li J; Yin H; Wang Y; Zhang H; Ma F; Li H; Qu J
Eur Radiol; 2023 Apr; 33(4):2746-2756. PubMed ID: 36512039
[TBL] [Abstract][Full Text] [Related]
10. Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.
Zhuang Z; Liu Z; Li J; Wang X; Xie P; Xiong F; Hu J; Meng X; Huang M; Deng Y; Lan P; Yu H; Luo Y
J Transl Med; 2021 Jun; 19(1):256. PubMed ID: 34112180
[TBL] [Abstract][Full Text] [Related]
11. CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.
Wang Y; Liu W; Yu Y; Liu JJ; Xue HD; Qi YF; Lei J; Yu JC; Jin ZY
Eur Radiol; 2020 Feb; 30(2):976-986. PubMed ID: 31468157
[TBL] [Abstract][Full Text] [Related]
12. CT-based radiomics analysis in the prediction of response to neoadjuvant chemotherapy in locally advanced gastric cancer: A dual-center study.
Song R; Cui Y; Ren J; Zhang J; Yang Z; Li D; Li Z; Yang X
Radiother Oncol; 2022 Jun; 171():155-163. PubMed ID: 35490846
[TBL] [Abstract][Full Text] [Related]
13. A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma.
Cai W; He B; Hu M; Zhang W; Xiao D; Yu H; Song Q; Xiang N; Yang J; He S; Huang Y; Huang W; Jia F; Fang C
Surg Oncol; 2019 Mar; 28():78-85. PubMed ID: 30851917
[TBL] [Abstract][Full Text] [Related]
14. Radiomics signature for predicting postoperative disease-free survival of patients with gastric cancer: development and validation of a predictive nomogram.
Shi S; Miao Z; Zhou Y; Xu C; Zhang X
Diagn Interv Radiol; 2022 Sep; 28(5):441-449. PubMed ID: 36097638
[TBL] [Abstract][Full Text] [Related]
15. Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy.
Xu Q; Sun Z; Li X; Ye C; Zhou C; Zhang L; Lu G
Eur Radiol; 2021 Nov; 31(11):8765-8774. PubMed ID: 33909133
[TBL] [Abstract][Full Text] [Related]
16. Tumor blood supply may predict neoadjuvant chemotherapy response and survival in patients with gastric cancer.
Ji X; Yang Q; Qin H; Zhou J; Liu W
J Int Med Res; 2019 Jun; 47(6):2524-2532. PubMed ID: 31039658
[TBL] [Abstract][Full Text] [Related]
17. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H
Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816
[TBL] [Abstract][Full Text] [Related]
18. Radiomic signature of
Jiang Y; Yuan Q; Lv W; Xi S; Huang W; Sun Z; Chen H; Zhao L; Liu W; Hu Y; Lu L; Ma J; Li T; Yu J; Wang Q; Li G
Theranostics; 2018; 8(21):5915-5928. PubMed ID: 30613271
[TBL] [Abstract][Full Text] [Related]
19. Radiomics for predicting perineural invasion status in rectal cancer.
Li M; Jin YM; Zhang YC; Zhao YL; Huang CC; Liu SM; Song B
World J Gastroenterol; 2021 Sep; 27(33):5610-5621. PubMed ID: 34588755
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
