415 related articles for article (PubMed ID: 33271285)
1. Systematic review of radiomic biomarkers for predicting immune checkpoint inhibitor treatment outcomes.
Zhang C; de A F Fonseca L; Shi Z; Zhu C; Dekker A; Bermejo I; Wee L
Methods; 2021 Apr; 188():61-72. PubMed ID: 33271285
[TBL] [Abstract][Full Text] [Related]
2. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
[TBL] [Abstract][Full Text] [Related]
3. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.
Saad MB; Hong L; Aminu M; Vokes NI; Chen P; Salehjahromi M; Qin K; Sujit SJ; Lu X; Young E; Al-Tashi Q; Qureshi R; Wu CC; Carter BW; Lin SH; Lee PP; Gandhi S; Chang JY; Li R; Gensheimer MF; Wakelee HA; Neal JW; Lee HS; Cheng C; Velcheti V; Lou Y; Petranovic M; Rinsurongkawong W; Le X; Rinsurongkawong V; Spelman A; Elamin YY; Negrao MV; Skoulidis F; Gay CM; Cascone T; Antonoff MB; Sepesi B; Lewis J; Wistuba II; Hazle JD; Chung C; Jaffray D; Gibbons DL; Vaporciyan A; Lee JJ; Heymach JV; Zhang J; Wu J
Lancet Digit Health; 2023 Jul; 5(7):e404-e420. PubMed ID: 37268451
[TBL] [Abstract][Full Text] [Related]
4. Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors.
Tohidinezhad F; Bontempi D; Zhang Z; Dingemans AM; Aerts J; Bootsma G; Vansteenkiste J; Hashemi S; Smit E; Gietema H; Aerts HJ; Dekker A; Hendriks LEL; Traverso A; De Ruysscher D
Eur J Cancer; 2023 Apr; 183():142-151. PubMed ID: 36857819
[TBL] [Abstract][Full Text] [Related]
5. Advanced image analytics predicting clinical outcomes in patients with colorectal liver metastases: A systematic review of the literature.
Wesdorp NJ; van Goor VJ; Kemna R; Jansma EP; van Waesberghe JHTM; Swijnenburg RJ; Punt CJA; Huiskens J; Kazemier G
Surg Oncol; 2021 Sep; 38():101578. PubMed ID: 33866191
[TBL] [Abstract][Full Text] [Related]
6. [18F]FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumab.
Valentinuzzi D; Vrankar M; Boc N; Ahac V; Zupancic Z; Unk M; Skalic K; Zagar I; Studen A; Simoncic U; Eickhoff J; Jeraj R
Radiol Oncol; 2020 Jul; 54(3):285-294. PubMed ID: 32726293
[TBL] [Abstract][Full Text] [Related]
7. Granzyme B is correlated with clinical outcome after PD-1 blockade in patients with stage IV non-small-cell lung cancer.
Hurkmans DP; Basak EA; Schepers N; Oomen-De Hoop E; Van der Leest CH; El Bouazzaoui S; Bins S; Koolen SLW; Sleijfer S; Van der Veldt AAM; Debets R; Van Schaik RHN; Aerts JGJV; Mathijssen RHJ
J Immunother Cancer; 2020 May; 8(1):. PubMed ID: 32461348
[TBL] [Abstract][Full Text] [Related]
8. Noninvasive radiomic biomarkers for predicting pseudoprogression and hyperprogression in patients with non-small cell lung cancer treated with immune checkpoint inhibition.
Li Y; Wang P; Xu J; Shi X; Yin T; Teng F
Oncoimmunology; 2024; 13(1):2312628. PubMed ID: 38343749
[TBL] [Abstract][Full Text] [Related]
9. Current status and quality of radiomic studies for predicting immunotherapy response and outcome in patients with non-small cell lung cancer: a systematic review and meta-analysis.
Chen Q; Zhang L; Mo X; You J; Chen L; Fang J; Wang F; Jin Z; Zhang B; Zhang S
Eur J Nucl Med Mol Imaging; 2021 Dec; 49(1):345-360. PubMed ID: 34402924
[TBL] [Abstract][Full Text] [Related]
10. Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade.
Vaidya P; Bera K; Patil PD; Gupta A; Jain P; Alilou M; Khorrami M; Velcheti V; Madabhushi A
J Immunother Cancer; 2020 Oct; 8(2):. PubMed ID: 33051342
[TBL] [Abstract][Full Text] [Related]
11. Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.
Tian P; He B; Mu W; Liu K; Liu L; Zeng H; Liu Y; Jiang L; Zhou P; Huang Z; Dong D; Li W
Theranostics; 2021; 11(5):2098-2107. PubMed ID: 33500713
[No Abstract] [Full Text] [Related]
12. Radiomics for Predicting Lung Cancer Outcomes Following Radiotherapy: A Systematic Review.
Walls GM; Osman SOS; Brown KH; Butterworth KT; Hanna GG; Hounsell AR; McGarry CK; Leijenaar RTH; Lambin P; Cole AJ; Jain S
Clin Oncol (R Coll Radiol); 2022 Mar; 34(3):e107-e122. PubMed ID: 34763965
[TBL] [Abstract][Full Text] [Related]
13. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
14. Immune checkpoint inhibitors versus second line chemotherapy for patients with lung cancer refractory to first line chemotherapy.
Lefebvre C; Martin E; Hendriks LEL; Veillon R; Puisset F; Mezquita L; Ferrara R; Sabatier M; Filleron T; Dingemans AC; Besse B; Raherisson C; Mazières J
Respir Med Res; 2020 Nov; 78():100788. PubMed ID: 32980653
[TBL] [Abstract][Full Text] [Related]
15. Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives.
Chetan MR; Gleeson FV
Eur Radiol; 2021 Feb; 31(2):1049-1058. PubMed ID: 32809167
[TBL] [Abstract][Full Text] [Related]
16. The landscape of immune checkpoint inhibitor therapy in advanced lung cancer.
Wang C; Li J; Zhang Q; Wu J; Xiao Y; Song L; Gong H; Li Y
BMC Cancer; 2021 Aug; 21(1):968. PubMed ID: 34454455
[TBL] [Abstract][Full Text] [Related]
17. Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma.
Park C; Na KJ; Choi H; Ock CY; Ha S; Kim M; Park S; Keam B; Kim TM; Paeng JC; Park IK; Kang CH; Kim DW; Cheon GJ; Kang KW; Kim YT; Heo DS
Theranostics; 2020; 10(23):10838-10848. PubMed ID: 32929383
[No Abstract] [Full Text] [Related]
18. Emerging Blood-Based Biomarkers for Predicting Response to Checkpoint Immunotherapy in Non-Small-Cell Lung Cancer.
Li S; Zhang C; Pang G; Wang P
Front Immunol; 2020; 11():603157. PubMed ID: 33178229
[TBL] [Abstract][Full Text] [Related]
19. Repeatability and Reproducibility of Radiomic Features: A Systematic Review.
Traverso A; Wee L; Dekker A; Gillies R
Int J Radiat Oncol Biol Phys; 2018 Nov; 102(4):1143-1158. PubMed ID: 30170872
[TBL] [Abstract][Full Text] [Related]
20. Effects of checkpoint inhibitors in advanced non-small cell lung cancer at population level from the National Immunotherapy Registry.
Smit HJM; Aerts J; van den Heuvel M; Hiltermann TJN; Bahce I; Smit EF; Dingemans AC; Hendriks LE; Stigt JA; Schramel FMNH; van Tinteren H; Groen HJM;
Lung Cancer; 2020 Feb; 140():107-112. PubMed ID: 31911323
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
