147 related articles for article (PubMed ID: 34530755)
1. Prediction of serosal invasion in gastric cancer: development and validation of multivariate models integrating preoperative clinicopathological features and radiographic findings based on late arterial phase CT images.
Liu S; Xu M; Qiao X; Ji C; Li L; Zhou Z
BMC Cancer; 2021 Sep; 21(1):1038. PubMed ID: 34530755
[TBL] [Abstract][Full Text] [Related]
2. Development and Validation of Multivariate Models Integrating Preoperative Clinicopathological Parameters and Radiographic Findings Based on Late Arterial Phase CT Images for Predicting Lymph Node Metastasis in Gastric Cancer.
Liu S; Qiao X; Xu M; Ji C; Li L; Zhou Z
Acad Radiol; 2021 Nov; 28 Suppl 1():S167-S178. PubMed ID: 33487536
[TBL] [Abstract][Full Text] [Related]
3. [Value of multidetector CT on aiding intraoperative judgement of serosal invasion of gastric cancer].
Li XD; Cui LL; Cui LH; Liu Y; Ren K; Xu K
Zhonghua Wei Chang Wai Ke Za Zhi; 2013 Jan; 16(1):48-51. PubMed ID: 23355240
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of multivariate models integrating preoperative clinicopathological and radiographic findings to predict HER2 status in gastric cancer.
Xu M; Liu S; Li L; Qiao X; Ji C; Tan L; Zhou Z
Sci Rep; 2022 Aug; 12(1):14177. PubMed ID: 35986169
[TBL] [Abstract][Full Text] [Related]
5. Gastric cancer: preoperative local staging with 3D multi-detector row CT--correlation with surgical and histopathologic results.
Chen CY; Hsu JS; Wu DC; Kang WY; Hsieh JS; Jaw TS; Wu MT; Liu GC
Radiology; 2007 Feb; 242(2):472-82. PubMed ID: 17255419
[TBL] [Abstract][Full Text] [Related]
6. Diagnostic performance of 64-channel multidetector CT in the evaluation of gastric cancer: differentiation of mucosal cancer (T1a) from submucosal involvement (T1b and T2).
Lee IJ; Lee JM; Kim SH; Shin CI; Lee JY; Kim SH; Han JK; Choi BI
Radiology; 2010 Jun; 255(3):805-14. PubMed ID: 20501718
[TBL] [Abstract][Full Text] [Related]
7. Preoperative CT texture analysis of gastric cancer: correlations with postoperative TNM staging.
Liu S; Shi H; Ji C; Zheng H; Pan X; Guan W; Chen L; Sun Y; Tang L; Guan Y; Li W; Ge Y; He J; Liu S; Zhou Z
Clin Radiol; 2018 Aug; 73(8):756.e1-756.e9. PubMed ID: 29625746
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis for preoperative invasion depth of gastric cancer with dual-energy spectral CT imaging.
Li C; Shi C; Zhang H; Hui C; Lam KM; Zhang S
Acad Radiol; 2015 Feb; 22(2):149-57. PubMed ID: 25249448
[TBL] [Abstract][Full Text] [Related]
9. Contribution of DECT in detecting serosal invasion of gastric cancer.
Küpeli A; Bulut E; Cansu A; Güner A; Soytürk M; Danışan G
Turk J Med Sci; 2019 Jun; 49(3):782-788. PubMed ID: 31062940
[TBL] [Abstract][Full Text] [Related]
10. Clinicopathological features and CT findings of papillary gastric adenocarcinoma.
Xu M; Liu S; Qiao X; Li L; Ji C; Zhou Z
Abdom Radiol (NY); 2022 Nov; 47(11):3698-3711. PubMed ID: 35972549
[TBL] [Abstract][Full Text] [Related]
11. Gastric poorly cohesive carcinoma: differentiation from tubular adenocarcinoma using nomograms based on CT findings in the 40 s late arterial phase.
Liu S; Qiao X; Ji C; Shi H; Wang Y; Li L; Zhou Z
Eur Radiol; 2021 Aug; 31(8):5768-5778. PubMed ID: 33569616
[TBL] [Abstract][Full Text] [Related]
12. Application of preoperative CT texture analysis in papillary gastric adenocarcinoma.
Xu M; Qiao X; Li L; Liu S; Zhou Z
BMC Cancer; 2022 Nov; 22(1):1161. PubMed ID: 36357844
[TBL] [Abstract][Full Text] [Related]
13. Development of a risk-scoring system to evaluate the serosal invasion for macroscopic serosal invasion positive gastric cancer patients.
Wang PL; Huang JY; Zhu Z; Gong BC; Huang HW; Duan SJ; Xu HM; Liu FN
Eur J Surg Oncol; 2018 May; 44(5):600-606. PubMed ID: 29454557
[TBL] [Abstract][Full Text] [Related]
14. Accuracy of macroscopic intraoperative diagnosis of serosal invasion and risk of over- and underestimation in gastric carcinoma.
Jeong O; Ryu SY; Jeong MR; Sun JW; Park YK
World J Surg; 2011 Oct; 35(10):2252-8. PubMed ID: 21850605
[TBL] [Abstract][Full Text] [Related]
15. Real-time optical diagnosis of gastric cancer with serosal invasion using multiphoton imaging.
Yan J; Zheng Y; Zheng X; Liu Z; Liu W; Chen D; Dong X; Li K; Liu X; Chen G; Lu J; Chen J; Zhuo S; Li G
Sci Rep; 2016 Aug; 6():31004. PubMed ID: 27499365
[TBL] [Abstract][Full Text] [Related]
16. Computed tomography texture analysis in patients with gastric cancer: a quantitative imaging biomarker for preoperative evaluation before neoadjuvant chemotherapy treatment.
Yardimci AH; Sel I; Bektas CT; Yarikkaya E; Dursun N; Bektas H; Afsar CU; Gursu RU; Yardimci VH; Ertas E; Kilickesmez O
Jpn J Radiol; 2020 Jun; 38(6):553-560. PubMed ID: 32140880
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Can lymphovascular invasion be predicted by preoperative multiphasic dynamic CT in patients with advanced gastric cancer?
Ma Z; Liang C; Huang Y; He L; Liang C; Chen X; Huang X; Xiong Y; Liu Z
Eur Radiol; 2017 Aug; 27(8):3383-3391. PubMed ID: 27999983
[TBL] [Abstract][Full Text] [Related]
19. Clinical correlation of endoscopic ultrasonography with pathologic stage and outcome in patients undergoing curative resection for gastric cancer.
Bentrem D; Gerdes H; Tang L; Brennan M; Coit D
Ann Surg Oncol; 2007 Jun; 14(6):1853-9. PubMed ID: 17357856
[TBL] [Abstract][Full Text] [Related]
20. An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.
Feng QX; Liu C; Qi L; Sun SW; Song Y; Yang G; Zhang YD; Liu XS
J Am Coll Radiol; 2019 Jul; 16(7):952-960. PubMed ID: 30733162
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
