283 related articles for article (PubMed ID: 31096736)
1. Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer.
Oh JE; Kim MJ; Lee J; Hur BY; Kim B; Kim DY; Baek JY; Chang HJ; Park SC; Oh JH; Cho SA; Sohn DK
Cancer Res Treat; 2020 Jan; 52(1):51-59. PubMed ID: 31096736
[TBL] [Abstract][Full Text] [Related]
2. Characterizing MRI features of rectal cancers with different KRAS status.
Xu Y; Xu Q; Ma Y; Duan J; Zhang H; Liu T; Li L; Sun H; Shi K; Xie S; Wang W
BMC Cancer; 2019 Nov; 19(1):1111. PubMed ID: 31727020
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.
Cui Y; Liu H; Ren J; Du X; Xin L; Li D; Yang X; Wang D
Eur Radiol; 2020 Apr; 30(4):1948-1958. PubMed ID: 31942672
[TBL] [Abstract][Full Text] [Related]
4. Could IVIM and ADC help in predicting the KRAS status in patients with rectal cancer?
Xu Y; Xu Q; Sun H; Liu T; Shi K; Wang W
Eur Radiol; 2018 Jul; 28(7):3059-3065. PubMed ID: 29450716
[TBL] [Abstract][Full Text] [Related]
5. Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer.
Guo XF; Yang WQ; Yang Q; Yuan ZL; Liu YL; Niu XH; Xu HB
Curr Med Sci; 2020 Dec; 40(6):1156-1160. PubMed ID: 33428144
[TBL] [Abstract][Full Text] [Related]
6. A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.
Liu H; Yin H; Li J; Dong X; Zheng H; Zhang T; Yin Q; Zhang Z; Lu M; Zhang H; Wang D
J Magn Reson Imaging; 2022 Dec; 56(6):1659-1668. PubMed ID: 35587946
[TBL] [Abstract][Full Text] [Related]
7. CT Texture Analysis: A Potential Biomarker for Evaluating KRAS Mutational Status in Colorectal Cancer.
Cao J; Wang GR; Wang ZW; Jin ZY
Chin Med Sci J; 2020 Dec; 35(4):306-314. PubMed ID: 33413746
[TBL] [Abstract][Full Text] [Related]
8. Prediction of KRAS Mutation in Rectal Cancer Using MRI.
Shin YR; Kim KA; Im S; Hwang SS; Kim K
Anticancer Res; 2016 Sep; 36(9):4799-804. PubMed ID: 27630331
[TBL] [Abstract][Full Text] [Related]
9. Analysis of KRAS Mutation Status Prediction Model for Colorectal Cancer Based on Medical Imaging.
Ren Z; Che J; Wu XW; Xia J
Comput Math Methods Med; 2021; 2021():3953442. PubMed ID: 34976107
[TBL] [Abstract][Full Text] [Related]
10. KRAS status predicted by pretreatment MRI radiomics was associated with lung metastasis in locally advanced rectal cancer patients.
Xiang Y; Li S; Song M; Wang H; Hu K; Wang F; Wang Z; Niu Z; Liu J; Cai Y; Li Y; Zhu X; Geng J; Zhang Y; Teng H; Wang W
BMC Med Imaging; 2023 Dec; 23(1):210. PubMed ID: 38087207
[TBL] [Abstract][Full Text] [Related]
11. KRAS Mutant Status, p16 and β-catenin Expression May Predict Local Recurrence in Patients Who Underwent Transanal Endoscopic Microsurgery (TEMS) for Stage I Rectal Cancer.
Sideris M; Moorhead J; Diaz-Cano S; Bjarnason I; Haji A; Papagrigoriadis S
Anticancer Res; 2016 Oct; 36(10):5315-5324. PubMed ID: 27798894
[TBL] [Abstract][Full Text] [Related]
12. CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
Taguchi N; Oda S; Yokota Y; Yamamura S; Imuta M; Tsuchigame T; Nagayama Y; Kidoh M; Nakaura T; Shiraishi S; Funama Y; Shinriki S; Miyamoto Y; Baba H; Yamashita Y
Eur J Radiol; 2019 Sep; 118():38-43. PubMed ID: 31439256
[TBL] [Abstract][Full Text] [Related]
13. Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer.
Jo SJ; Kim SH; Park SJ; Lee Y; Son JH
Taehan Yongsang Uihakhoe Chi; 2021 Mar; 82(2):406-416. PubMed ID: 36238732
[TBL] [Abstract][Full Text] [Related]
14. Role of KRAS mutation as predictor of pathologic response after neoadjuvant chemoradiation therapy for rectal cancer.
Martellucci J; Alemanno G; Castiglione F; Bergamini C; Valeri A
Updates Surg; 2015 Mar; 67(1):47-53. PubMed ID: 25702261
[TBL] [Abstract][Full Text] [Related]
15. Multifunctional imaging signature for V-KI-RAS2 Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations in colorectal cancer.
Miles KA; Ganeshan B; Rodriguez-Justo M; Goh VJ; Ziauddin Z; Engledow A; Meagher M; Endozo R; Taylor SA; Halligan S; Ell PJ; Groves AM
J Nucl Med; 2014 Mar; 55(3):386-91. PubMed ID: 24516257
[TBL] [Abstract][Full Text] [Related]
16. Utility of texture analysis on T2-weighted MR for differentiating tumor deposits from mesorectal nodes in rectal cancer patients, in a retrospective cohort.
Atre ID; Eurboonyanun K; Noda Y; Parakh A; O'Shea A; Lahoud RM; Sell NM; Kunitake H; Harisinghani MG
Abdom Radiol (NY); 2021 Feb; 46(2):459-468. PubMed ID: 32700214
[TBL] [Abstract][Full Text] [Related]
17. [Comparative Evaluation of the Value of Quantitative Parameters of Dual-energy CT and MRI for KRAS Mutation in Rectal Cancer].
Lin XQ; Han T; Jing MY; Deng LN; Zhang B; Zhou JL
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2022 Aug; 44(4):606-613. PubMed ID: 36065693
[TBL] [Abstract][Full Text] [Related]
18.
Sideris M; Moorhead J; Diaz-Cano S; Haji A; Papagrigoriadis S
Anticancer Res; 2017 Mar; 37(3):1349-1357. PubMed ID: 28314302
[TBL] [Abstract][Full Text] [Related]
19. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
20. Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
Yang L; Dong D; Fang M; Zhu Y; Zang Y; Liu Z; Zhang H; Ying J; Zhao X; Tian J
Eur Radiol; 2018 May; 28(5):2058-2067. PubMed ID: 29335867
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
