180 related articles for article (PubMed ID: 37300884)
1. Noninvasive imaging evaluation of peritoneal recurrence and chemotherapy benefit in gastric cancer after gastrectomy: a multicenter study.
Sun Z; Wang W; Huang W; Zhang T; Chen C; Yuan Q; Chen Y; Zhou K; Han Z; Feng H; Chen H; Liang X; Hu Y; Yu J; Liu H; Yu L; Xu Y; Li G; Jiang Y
Int J Surg; 2023 Jul; 109(7):2010-2024. PubMed ID: 37300884
[TBL] [Abstract][Full Text] [Related]
2. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.
Jiang Y; Zhang Z; Yuan Q; Wang W; Wang H; Li T; Huang W; Xie J; Chen C; Sun Z; Yu J; Xu Y; Poultsides GA; Xing L; Zhou Z; Li G; Li R
Lancet Digit Health; 2022 May; 4(5):e340-e350. PubMed ID: 35461691
[TBL] [Abstract][Full Text] [Related]
3. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Radiomics signature for prediction of long-term survival and recurrence patterns in patients with gastric cancer after radical gastrectomy: A multicenter study.
Huang JM; Zhuang LP; Wang HG; Zhong LY; Xue SJ; Tian FX; Lin HY
Saudi J Gastroenterol; 2023; 29(1):21-30. PubMed ID: 36588364
[TBL] [Abstract][Full Text] [Related]
6. Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer.
Jiang Y; Wang H; Wu J; Chen C; Yuan Q; Huang W; Li T; Xi S; Hu Y; Zhou Z; Xu Y; Li G; Li R
Ann Oncol; 2020 Jun; 31(6):760-768. PubMed ID: 32240794
[TBL] [Abstract][Full Text] [Related]
7. Immune Landscape of Gastric Carcinoma Tumor Microenvironment Identifies a Peritoneal Relapse Relevant Immune Signature.
Zhang C; Li D; Yu R; Li C; Song Y; Chen X; Fan Y; Liu Y; Qu X
Front Immunol; 2021; 12():651033. PubMed ID: 34054812
[TBL] [Abstract][Full Text] [Related]
8. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study.
Sun Z; Jiang Y; Chen C; Zheng H; Huang W; Xu B; Tang W; Yuan Q; Zhou K; Liang X; Chen H; Han Z; Feng H; Yu S; Hu Y; Yu J; Zhou Z; Wang W; Xu Y; Li G
Radiother Oncol; 2021 Dec; 165():179-190. PubMed ID: 34774652
[TBL] [Abstract][Full Text] [Related]
9. Intratumoral and Peritumoral Radiomics of Contrast-Enhanced CT for Prediction of Disease-Free Survival and Chemotherapy Response in Stage II/III Gastric Cancer.
Li J; Zhang C; Wei J; Zheng P; Zhang H; Xie Y; Bai J; Zhu Z; Zhou K; Liang X; Xie Y; Qin T
Front Oncol; 2020; 10():552270. PubMed ID: 33425719
[TBL] [Abstract][Full Text] [Related]
10. Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection.
Li W; Zhang L; Tian C; Song H; Fang M; Hu C; Zang Y; Cao Y; Dai S; Wang F; Dong D; Wang R; Tian J
Eur Radiol; 2019 Jun; 29(6):3079-3089. PubMed ID: 30519931
[TBL] [Abstract][Full Text] [Related]
11. Non-invasive measurement of tumor immune microenvironment and prediction of survival and chemotherapeutic benefits from
Li J; Zhang C; Guo H; Li S; You Y; Zheng P; Zhang H; Wang H; Bai J
Front Immunol; 2022; 13():1019386. PubMed ID: 36311742
[TBL] [Abstract][Full Text] [Related]
12. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.
Jiang Y; Liang X; Han Z; Wang W; Xi S; Li T; Chen C; Yuan Q; Li N; Yu J; Xie Y; Xu Y; Zhou Z; Poultsides GA; Li G; Li R
Lancet Digit Health; 2021 Jun; 3(6):e371-e382. PubMed ID: 34045003
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study.
Jiang Y; Jin C; Yu H; Wu J; Chen C; Yuan Q; Huang W; Hu Y; Xu Y; Zhou Z; Fisher GA; Li G; Li R
Ann Surg; 2021 Dec; 274(6):e1153-e1161. PubMed ID: 31913871
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
Wang S; Feng C; Dong D; Li H; Zhou J; Ye Y; Liu Z; Tian J; Wang Y
Med Phys; 2020 Oct; 47(10):4862-4871. PubMed ID: 32592224
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication.
Wei J; Yang G; Hao X; Gu D; Tan Y; Wang X; Dong D; Zhang S; Wang L; Zhang H; Tian J
Eur Radiol; 2019 Feb; 29(2):877-888. PubMed ID: 30039219
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer.
Zhang W; Fang M; Dong D; Wang X; Ke X; Zhang L; Hu C; Guo L; Guan X; Zhou J; Shan X; Tian J
Radiother Oncol; 2020 Apr; 145():13-20. PubMed ID: 31869677
[TBL] [Abstract][Full Text] [Related]
19. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]