151 related articles for article (PubMed ID: 38015944)
1. Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer.
Nibid L; Greco C; Cordelli E; Sabarese G; Fiore M; Liu CZ; Ippolito E; Sicilia R; Miele M; Tortora M; Taffon C; Rakaee M; Soda P; Ramella S; Perrone G
PLoS One; 2023; 18(11):e0294259. PubMed ID: 38015944
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging.
Xu Y; Hosny A; Zeleznik R; Parmar C; Coroller T; Franco I; Mak RH; Aerts HJWL
Clin Cancer Res; 2019 Jun; 25(11):3266-3275. PubMed ID: 31010833
[TBL] [Abstract][Full Text] [Related]
3. The predictive value of
Mattoli MV; Massaccesi M; Castelluccia A; Scolozzi V; Mantini G; Calcagni ML
Radiat Oncol; 2017 Jan; 12(1):4. PubMed ID: 28057034
[TBL] [Abstract][Full Text] [Related]
4. (99m)Tc-3PRGD 2 SPECT/CT predicts the outcome of advanced nonsquamous non-small cell lung cancer receiving chemoradiotherapy plus bevacizumab.
Ma Q; Min K; Wang T; Chen B; Wen Q; Wang F; Ji T; Gao S
Ann Nucl Med; 2015 Jul; 29(6):519-27. PubMed ID: 25911312
[TBL] [Abstract][Full Text] [Related]
5. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.
Hosny A; Parmar C; Coroller TP; Grossmann P; Zeleznik R; Kumar A; Bussink J; Gillies RJ; Mak RH; Aerts HJWL
PLoS Med; 2018 Nov; 15(11):e1002711. PubMed ID: 30500819
[TBL] [Abstract][Full Text] [Related]
6. Prognostic importance of
Kanyilmaz G; Benli Yavuz B; Aktan M; Sahin O
Rev Esp Med Nucl Imagen Mol (Engl Ed); 2020; 39(1):20-26. PubMed ID: 31668790
[TBL] [Abstract][Full Text] [Related]
7. Dynamic contrast-enhanced perfusion area detector CT for non-small cell lung cancer patients: Influence of mathematical models on early prediction capabilities for treatment response and recurrence after chemoradiotherapy.
Ohno Y; Koyama H; Fujisawa Y; Yoshikawa T; Seki S; Sugihara N; Sugimura K
Eur J Radiol; 2016 Jan; 85(1):176-186. PubMed ID: 26724663
[TBL] [Abstract][Full Text] [Related]
8. Deep learning classification of lung cancer histology using CT images.
Chaunzwa TL; Hosny A; Xu Y; Shafer A; Diao N; Lanuti M; Christiani DC; Mak RH; Aerts HJWL
Sci Rep; 2021 Mar; 11(1):5471. PubMed ID: 33727623
[TBL] [Abstract][Full Text] [Related]
9. Tumor angiogenesis at baseline identified by
Wei Y; Qin X; Liu X; Zheng J; Luan X; Zhou Y; Yu J; Yuan S
J Transl Med; 2022 Feb; 20(1):63. PubMed ID: 35109866
[TBL] [Abstract][Full Text] [Related]
10. Dynamic contrast-enhanced perfusion area-detector CT assessed with various mathematical models: Its capability for therapeutic outcome prediction for non-small cell lung cancer patients with chemoradiotherapy as compared with that of FDG-PET/CT.
Ohno Y; Fujisawa Y; Koyama H; Kishida Y; Seki S; Sugihara N; Yoshikawa T
Eur J Radiol; 2017 Jan; 86():83-91. PubMed ID: 28027771
[TBL] [Abstract][Full Text] [Related]
11. Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer.
Fried DV; Tucker SL; Zhou S; Liao Z; Mawlawi O; Ibbott G; Court LE
Int J Radiat Oncol Biol Phys; 2014 Nov; 90(4):834-42. PubMed ID: 25220716
[TBL] [Abstract][Full Text] [Related]
12. Pre-treatment CT imaging in stage IIIA lung cancer: Can we predict local recurrence after definitive chemoradiotherapy?
Plodkowski AJ; Araujo-Filho JAB; Simmers CDA; Girshman J; Raj M; Zheng J; Rimner A; Ginsberg MS
Clin Imaging; 2021 Jan; 69():133-138. PubMed ID: 32721848
[TBL] [Abstract][Full Text] [Related]
13. Tumour response in non-small-cell lung cancer patients treated with chemoradiotherapy - Can spectral CT predict recurrence?
Fehrenbach U; Feldhaus F; Kahn J; Böning G; Maurer MH; Renz D; Frost N; Streitparth F
J Med Imaging Radiat Oncol; 2019 Oct; 63(5):641-649. PubMed ID: 31282130
[TBL] [Abstract][Full Text] [Related]
14. Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.
Tau N; Stundzia A; Yasufuku K; Hussey D; Metser U
AJR Am J Roentgenol; 2020 Jul; 215(1):192-197. PubMed ID: 32348182
[No Abstract] [Full Text] [Related]
15. Prognostic implications of diffusion-weighted magnetic resonance imaging in patients with superior sulcus tumors receiving induction chemoradiation therapy.
Torii I; Tateishi U; Terauchi T; Inoue T
Jpn J Clin Oncol; 2016 Mar; 46(3):264-9. PubMed ID: 26848076
[TBL] [Abstract][Full Text] [Related]
16. Introducing FDG PET/CT-guided chemoradiotherapy for stage III NSCLC in low- and middle-income countries: preliminary results from the IAEA PERTAIN trial.
Konert T; Vogel WV; Paez D; Polo A; Fidarova E; Carvalho H; Duarte PS; Zuliani AC; Santos AO; Altuhhova D; Karusoo L; Kapoor R; Sood A; Khader J; Al-Ibraheem A; Numair Y; Abubaker S; Soydal C; Kütük T; Le TA; Canh NX; Bieu BQ; Ha LN; Belderbos JSA; MacManus MP; Thorwarth D; Hanna GG
Eur J Nucl Med Mol Imaging; 2019 Oct; 46(11):2235-2243. PubMed ID: 31367906
[TBL] [Abstract][Full Text] [Related]
17. Deep segmentation networks predict survival of non-small cell lung cancer.
Baek S; He Y; Allen BG; Buatti JM; Smith BJ; Tong L; Sun Z; Wu J; Diehn M; Loo BW; Plichta KA; Seyedin SN; Gannon M; Cabel KR; Kim Y; Wu X
Sci Rep; 2019 Nov; 9(1):17286. PubMed ID: 31754135
[TBL] [Abstract][Full Text] [Related]
18. Cone-beam computed tomography for lung cancer - validation with CT and monitoring tumour response during chemo-radiation therapy.
Michienzi A; Kron T; Callahan J; Plumridge N; Ball D; Everitt S
J Med Imaging Radiat Oncol; 2017 Apr; 61(2):263-270. PubMed ID: 27804280
[TBL] [Abstract][Full Text] [Related]
19. Diffusion-weighted MRI versus 18F-FDG PET/CT: performance as predictors of tumor treatment response and patient survival in patients with non-small cell lung cancer receiving chemoradiotherapy.
Ohno Y; Koyama H; Yoshikawa T; Matsumoto K; Aoyama N; Onishi Y; Sugimura K
AJR Am J Roentgenol; 2012 Jan; 198(1):75-82. PubMed ID: 22194481
[TBL] [Abstract][Full Text] [Related]
20. A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.
Gong J; Liu J; Hao W; Nie S; Zheng B; Wang S; Peng W
Eur Radiol; 2020 Apr; 30(4):1847-1855. PubMed ID: 31811427
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]