150 related articles for article (PubMed ID: 38334780)
1. Development and validation of a preoperative risk nomogram prediction model for gastric gastrointestinal stromal tumors.
Liu Z; Gao J; Zeng C; Chen Y
Surg Endosc; 2024 Apr; 38(4):1933-1943. PubMed ID: 38334780
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
Ren C; Wang S; Zhang S
Cancer Imaging; 2020 Jan; 20(1):5. PubMed ID: 31931874
[TBL] [Abstract][Full Text] [Related]
3. A CT-based nomogram for predicting the malignant potential of primary gastric gastrointestinal stromal tumors preoperatively.
Li C; Fu W; Huang L; Chen Y; Xiang P; Guan J; Sun C
Abdom Radiol (NY); 2021 Jul; 46(7):3075-3085. PubMed ID: 33713161
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of an EUS-based nomogram for prediction of the malignant potential in gastrointestinal stromal tumors.
Liu L; Chen J; Shan J; Sun X
Scand J Gastroenterol; 2023 Jul; 58(7):830-837. PubMed ID: 36740838
[TBL] [Abstract][Full Text] [Related]
5. Nomogram to Predict Preoperative Occult Peritoneal Metastasis of Gastrointestinal Stromal Tumors (GIST) Based on Imaging and Inflammatory Indexes.
Xu SJ; Lin GS; Ling HJ; Guo RJ; Chen J; Liao YM; Lin T; Zhou YJ
Cancer Manag Res; 2020; 12():11713-11721. PubMed ID: 33239911
[TBL] [Abstract][Full Text] [Related]
6. Prognostic Nomogram for Gastrointestinal Stromal Tumors after Surgery Based on the SEER Database.
Sun Q; Chen Y; Li T; Zhu X; Zhu G; Ni B; Gao R; Li J
Biomed Res Int; 2022; 2022():5639174. PubMed ID: 36420093
[TBL] [Abstract][Full Text] [Related]
7. Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features.
Lin JX; Wang FH; Wang ZK; Wang JB; Zheng CH; Li P; Huang CM; Xie JW
Radiol Med; 2023 Jun; 128(6):644-654. PubMed ID: 37148481
[TBL] [Abstract][Full Text] [Related]
8. A novel nomogram for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based study.
Zhou G; Xiao K; Gong G; Wu J; Zhang Y; Liu X; Jiang Z; Ma C
BMC Surg; 2020 Nov; 20(1):298. PubMed ID: 33238982
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts.
Lin Y; Wang M; Jia J; Wan W; Wang T; Yang W; Li C; Chen X; Cao H; Zhang P; Tao K
EBioMedicine; 2020 Oct; 60():103016. PubMed ID: 32980695
[TBL] [Abstract][Full Text] [Related]
10. [Clinical significance of the deep learning algorithm based on contrast-enhanced CT in the differential diagnosis of gastric gastrointestinal stromal tumors with a diameter ≤ 5 cm].
Gu JY; Shi HT; Yang LX; Shen YQ; Wang ZX; Feng Q; Wang M; Cao H
Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Sep; 24(9):796-803. PubMed ID: 34530561
[No Abstract] [Full Text] [Related]
11. Relationship between multi-slice computed tomography features and pathological risk stratification assessment in gastric gastrointestinal stromal tumors.
Wang TT; Liu WW; Liu XH; Gao RJ; Zhu CY; Wang Q; Zhao LP; Fan XM; Li J
World J Gastrointest Oncol; 2023 Jun; 15(6):1073-1085. PubMed ID: 37389110
[TBL] [Abstract][Full Text] [Related]
12. An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study.
Bertsimas D; Margonis GA; Tang S; Koulouras A; Antonescu CR; Brennan MF; Martin-Broto J; Rutkowski P; Stasinos G; Wang J; Pikoulis E; Bylina E; Sobczuk P; Gutierrez A; Jadeja B; Tap WD; Chi P; Singer S
EClinicalMedicine; 2023 Oct; 64():102200. PubMed ID: 37731933
[TBL] [Abstract][Full Text] [Related]
13. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
[TBL] [Abstract][Full Text] [Related]
14.
Xue XQ; Yu WJ; Shi X; Shao XL; Wang YT
Front Oncol; 2022; 12():911168. PubMed ID: 36003788
[TBL] [Abstract][Full Text] [Related]
15. [A model to predict the recurrence of middle-high risk gastrointestinal stromal tumors based on preoperative fibrinogen and peripheral blood inflammatory indexes].
Li W; Peng QW; Lin Y; Wan WZ; Zeng XY; Sun X; Yang WC; Xiong Z; Liu WZ; Tao KX; Zhang P
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Sep; 23(9):896-903. PubMed ID: 32927515
[No Abstract] [Full Text] [Related]
16. [Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion].
Liu SH; Hou XY; Zhang XX; Liu GW; Xin FJ; Wang JG; Zhang DL; Wang DS; Lu Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Nov; 23(11):1059-1066. PubMed ID: 33212554
[No Abstract] [Full Text] [Related]
17. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
[TBL] [Abstract][Full Text] [Related]
18. A CT-based nomogram established for differentiating gastrointestinal heterotopic pancreas from gastrointestinal stromal tumor: compared with a machine-learning model.
Feng N; Chen HY; Wang XJ; Lu YF; Zhou JP; Zhou QM; Wang XB; Yu JN; Yu RS; Xu JX
BMC Med Imaging; 2023 Sep; 23(1):131. PubMed ID: 37715139
[TBL] [Abstract][Full Text] [Related]
19. Preoperative prediction of malignant potential of 2-5 cm gastric gastrointestinal stromal tumors by computerized tomography-based radiomics.
Sun XF; Zhu HT; Ji WY; Zhang XY; Li XT; Tang L; Sun YS
World J Gastrointest Oncol; 2022 May; 14(5):1014-1026. PubMed ID: 35646280
[TBL] [Abstract][Full Text] [Related]
20. MRI Texture-Based Models for Predicting Mitotic Index and Risk Classification of Gastrointestinal Stromal Tumors.
Yang L; Zheng T; Dong Y; Wang Z; Liu D; Du J; Wu S; Shi Q; Liu L
J Magn Reson Imaging; 2021 Apr; 53(4):1054-1065. PubMed ID: 33037745
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
