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Items: 1 to 50 of 148

1.

Predicting Response to Cancer Immunotherapy using Non-invasive Radiomic Biomarkers.

Trebeschi S, Drago SG, Birkbak NJ, Kurilova I, Cǎlin AM, Pizzi AD, Lalezari F, Lambregts DMJ, Rohaan M, Parmar C, Hartemink KJ, Swanton C, Haanen JBAG, Blank CU, Smit EF, Beets-Tan RGH, Aerts HJWL.

Ann Oncol. 2019 Mar 21. pii: mdz108. doi: 10.1093/annonc/mdz108. [Epub ahead of print]

PMID:
30895304
2.

Artificial intelligence in cancer imaging: Clinical challenges and applications.

Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, Allison T, Arnaout O, Abbosh C, Dunn IF, Mak RH, Tamimi RM, Tempany CM, Swanton C, Hoffmann U, Schwartz LH, Gillies RJ, Huang RY, Aerts HJWL.

CA Cancer J Clin. 2019 Mar;69(2):127-157. doi: 10.3322/caac.21552. Epub 2019 Feb 5. Review.

3.

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 30;15(11):e1002711. doi: 10.1371/journal.pmed.1002711. eCollection 2018 Nov.

4.

Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data.

Rasero J, Aerts H, Ontivero Ortega M, Cortes JM, Stramaglia S, Marinazzo D.

PLoS One. 2018 Nov 12;13(11):e0207385. doi: 10.1371/journal.pone.0207385. eCollection 2018.

5.

Vulnerabilities of radiomic signature development: The need for safeguards.

Welch ML, McIntosh C, Haibe-Kains B, Milosevic MF, Wee L, Dekker A, Huang SH, Purdie TG, O'Sullivan B, Aerts HJWL, Jaffray DA.

Radiother Oncol. 2019 Jan;130:2-9. doi: 10.1016/j.radonc.2018.10.027. Epub 2018 Nov 8.

6.

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC.

Dou TH, Coroller TP, van Griethuysen JJM, Mak RH, Aerts HJWL.

PLoS One. 2018 Nov 2;13(11):e0206108. doi: 10.1371/journal.pone.0206108. eCollection 2018.

7.

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats.

Napel S, Mu W, Jardim-Perassi BV, Aerts HJWL, Gillies RJ.

Cancer. 2018 Dec 15;124(24):4633-4649. doi: 10.1002/cncr.31630. Epub 2018 Nov 1. Review.

PMID:
30383900
8.

Artificial Intelligence in Radiation Oncology Imaging.

Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C Jr, Rosenthal SA, Yu JB, Thomas CR Jr.

Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):1159-1161. doi: 10.1016/j.ijrobp.2018.05.070. Epub 2018 Oct 18. No abstract available.

PMID:
30353870
9.

Radiation Therapy Outcomes Models in the Era of Radiomics and Radiogenomics: Uncertainties and Validation.

El Naqa I, Pandey G, Aerts H, Chien JT, Andreassen CN, Niemierko A, Ten Haken RK.

Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):1070-1073. doi: 10.1016/j.ijrobp.2018.08.022. Epub 2018 Oct 18. No abstract available.

PMID:
30353869
10.

Current Status and Future Perspectives on Neoadjuvant Therapy in Lung Cancer.

Blumenthal GM, Bunn PA Jr, Chaft JE, McCoach CE, Perez EA, Scagliotti GV, Carbone DP, Aerts HJWL, Aisner DL, Bergh J, Berry DA, Jarkowski A, Botwood N, Cross DAE, Diehn M, Drezner NL, Doebele RC, Blakely CM, Eberhardt WEE, Felip E, Gianni L, Keller SP, Leavey PJ, Malik S, Pignatti F, Prowell TM, Redman MW, Rizvi NA, Rosell R, Rusch V, de Ruysscher D, Schwartz LH, Sridhara R, Stahel RA, Swisher S, Taube JM, Travis WD, Keegan P, Wiens JR, Wistuba II, Wynes MW, Hirsch FR, Kris MG.

J Thorac Oncol. 2018 Dec;13(12):1818-1831. doi: 10.1016/j.jtho.2018.09.017. Epub 2018 Sep 27. Review.

PMID:
30268698
11.

Histopathological Image QTL Discovery of Immune Infiltration Variants.

Barry JD, Fagny M, Paulson JN, Aerts HJWL, Platig J, Quackenbush J.

iScience. 2018 Jul 27;5:80-89. doi: 10.1016/j.isci.2018.07.001. Epub 2018 Jul 6.

12.

The Future of Artificial Intelligence in Radiation Oncology.

Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR Jr.

Int J Radiat Oncol Biol Phys. 2018 Oct 1;102(2):247-248. doi: 10.1016/j.ijrobp.2018.05.072. Epub 2018 Jun 6. No abstract available.

PMID:
30191856
13.

Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain.

Aerts H, Schirner M, Jeurissen B, Van Roost D, Achten E, Ritter P, Marinazzo D.

eNeuro. 2018 Jun 4;5(3). pii: ENEURO.0083-18.2018. doi: 10.1523/ENEURO.0083-18.2018. eCollection 2018 May-Jun.

14.

Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C Jr, Rosenthal SA, Yu JB, Thomas CR Jr.

Radiother Oncol. 2018 Dec;129(3):421-426. doi: 10.1016/j.radonc.2018.05.030. Epub 2018 Jun 12. Review.

PMID:
29907338
15.

Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST data.

Balagurunathan Y, Beers A, Kalpathy-Cramer J, McNitt-Gray M, Hadjiiski L, Zhao B, Zhu J, Yang H, Yip SSF, Aerts HJWL, Napel S, Cherezov D, Cha K, Chan HP, Flores C, Garcia A, Gillies R, Goldgof D.

Med Phys. 2018 Jun;45(6):2689-2690. doi: 10.1002/mp.12905. Epub 2018 Apr 24. No abstract available.

PMID:
29894564
16.

Artificial intelligence in radiology.

Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL.

Nat Rev Cancer. 2018 Aug;18(8):500-510. doi: 10.1038/s41568-018-0016-5. Review.

17.

Data Analysis Strategies in Medical Imaging.

Parmar C, Barry JD, Hosny A, Quackenbush J, Aerts HJWL.

Clin Cancer Res. 2018 Aug 1;24(15):3492-3499. doi: 10.1158/1078-0432.CCR-18-0385. Epub 2018 Mar 26. Review.

PMID:
29581134
18.

Radiomic Biomarkers to Refine Risk Models for Distant Metastasis in HPV-related Oropharyngeal Carcinoma.

Kwan JYY, Su J, Huang SH, Ghoraie LS, Xu W, Chan B, Yip KW, Giuliani M, Bayley A, Kim J, Hope AJ, Ringash J, Cho J, McNiven A, Hansen A, Goldstein D, de Almeida JR, Aerts HJ, Waldron JN, Haibe-Kains B, O'Sullivan B, Bratman SV, Liu FF.

Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):1107-1116. doi: 10.1016/j.ijrobp.2018.01.057. Epub 2018 Feb 1.

PMID:
29506884
19.

Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR.

Trebeschi S, van Griethuysen JJM, Lambregts DMJ, Lahaye MJ, Parmar C, Bakers FCH, Peters NHGM, Beets-Tan RGH, Aerts HJWL.

Sci Rep. 2018 Feb 2;8(1):2589. doi: 10.1038/s41598-018-20029-5.

20.

Semi-automated pulmonary nodule interval segmentation using the NLST data.

Balagurunathan Y, Beers A, Kalpathy-Cramer J, McNitt-Gray M, Hadjiiski L, Zhao B, Zhu J, Yang H, Yip SSF, Aerts HJWL, Napel S, Cherezov D, Cha K, Chan HP, Flores C, Garcia A, Gillies R, Goldgof D.

Med Phys. 2018 Mar;45(3):1093-1107. doi: 10.1002/mp.12766. Epub 2018 Feb 19. Erratum in: Med Phys. 2018 Jun;45(6):2689-2690.

21.

Corrigendum: Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution.

Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Grönroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Quinn AM, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG, Swanton C.

Nature. 2018 Feb 8;554(7691):264. doi: 10.1038/nature25161. Epub 2017 Dec 20.

PMID:
29258292
22.

Impact of experimental design on PET radiomics in predicting somatic mutation status.

Yip SSF, Parmar C, Kim J, Huynh E, Mak RH, Aerts HJWL.

Eur J Radiol. 2017 Dec;97:8-15. doi: 10.1016/j.ejrad.2017.10.009. Epub 2017 Oct 9.

PMID:
29153372
23.

Radiographic prediction of meningioma grade by semantic and radiomic features.

Coroller TP, Bi WL, Huynh E, Abedalthagafi M, Aizer AA, Greenwald NF, Parmar C, Narayan V, Wu WW, Miranda de Moura S, Gupta S, Beroukhim R, Wen PY, Al-Mefty O, Dunn IF, Santagata S, Alexander BM, Huang RY, Aerts HJWL.

PLoS One. 2017 Nov 16;12(11):e0187908. doi: 10.1371/journal.pone.0187908. eCollection 2017.

24.

Data Science in Radiology: A Path Forward.

Aerts HJWL.

Clin Cancer Res. 2018 Feb 1;24(3):532-534. doi: 10.1158/1078-0432.CCR-17-2804. Epub 2017 Nov 2.

25.

Computational Radiomics System to Decode the Radiographic Phenotype.

van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S, Aerts HJWL.

Cancer Res. 2017 Nov 1;77(21):e104-e107. doi: 10.1158/0008-5472.CAN-17-0339.

26.

Technical Challenges in the Clinical Application of Radiomics.

Shaikh FA, Kolowitz BJ, Awan O, Aerts HJ, von Reden A, Halabi S, Mohiuddin SA, Malik S, Shrestha RB, Deible C.

JCO Clin Cancer Inform. 2017 Nov;1:1-8. doi: 10.1200/CCI.17.00004.

27.

Revisiting inconsistency in large pharmacogenomic studies.

Safikhani Z, Smirnov P, Freeman M, El-Hachem N, She A, Rene Q, Goldenberg A, Birkbak NJ, Hatzis C, Shi L, Beck AH, Aerts HJWL, Quackenbush J, Haibe-Kains B.

Version 3. F1000Res. 2016 Sep 16 [revised 2017 Jan 1];5:2333. doi: 10.12688/f1000research.9611.3. eCollection 2016.

28.

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer.

Vallières M, Kay-Rivest E, Perrin LJ, Liem X, Furstoss C, Aerts HJWL, Khaouam N, Nguyen-Tan PF, Wang CS, Sultanem K, Seuntjens J, El Naqa I.

Sci Rep. 2017 Aug 31;7(1):10117. doi: 10.1038/s41598-017-10371-5.

29.

Defining the biological basis of radiomic phenotypes in lung cancer.

Grossmann P, Stringfield O, El-Hachem N, Bui MM, Rios Velazquez E, Parmar C, Leijenaar RT, Haibe-Kains B, Lambin P, Gillies RJ, Aerts HJ.

Elife. 2017 Jul 21;6. pii: e23421. doi: 10.7554/eLife.23421.

30.

Corrigendum to "Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging" [Radiother Oncol 113 (2014) 324-30].

Velazquez ER, Hoebers F, Aerts HJWL, Rietbergen MM, Brakenhoff RH, Leemans RC, Speel EJ, Straetmans J, Kremer B, Lambin P.

Radiother Oncol. 2017 Aug;124(2):337-338. doi: 10.1016/j.radonc.2017.06.017. Epub 2017 Jul 11. No abstract available.

PMID:
28709696
31.

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR.

Trebeschi S, van Griethuysen JJM, Lambregts DMJ, Lahaye MJ, Parmar C, Bakers FCH, Peters NHGM, Beets-Tan RGH, Aerts HJWL.

Sci Rep. 2017 Jul 13;7(1):5301. doi: 10.1038/s41598-017-05728-9. Erratum in: Sci Rep. 2018 Feb 2;8(1):2589.

32.

Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer.

Yip SSF, Liu Y, Parmar C, Li Q, Liu S, Qu F, Ye Z, Gillies RJ, Aerts HJWL.

Sci Rep. 2017 Jun 14;7(1):3519. doi: 10.1038/s41598-017-02425-5.

33.

Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation.

Yip SSF, Parmar C, Blezek D, Estepar RSJ, Pieper S, Kim J, Aerts HJWL.

PLoS One. 2017 Jun 8;12(6):e0178944. doi: 10.1371/journal.pone.0178944. eCollection 2017.

34.

Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.

Rios Velazquez E, Parmar C, Liu Y, Coroller TP, Cruz G, Stringfield O, Ye Z, Makrigiorgos M, Fennessy F, Mak RH, Gillies R, Quackenbush J, Aerts HJWL.

Cancer Res. 2017 Jul 15;77(14):3922-3930. doi: 10.1158/0008-5472.CAN-17-0122. Epub 2017 May 31.

35.

Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab.

Grossmann P, Narayan V, Chang K, Rahman R, Abrey L, Reardon DA, Schwartz LH, Wen PY, Alexander BM, Huang R, Aerts HJWL.

Neuro Oncol. 2017 Nov 29;19(12):1688-1697. doi: 10.1093/neuonc/nox092.

36.

Ising model with conserved magnetization on the human connectome: Implications on the relation structure-function in wakefulness and anesthesia.

Stramaglia S, Pellicoro M, Angelini L, Amico E, Aerts H, Cortés JM, Laureys S, Marinazzo D.

Chaos. 2017 Apr;27(4):047407. doi: 10.1063/1.4978999.

PMID:
28456159
37.

Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution.

Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Grönroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Marie Quinn A, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG; TRACERx consortium; PEACE consortium, Swanton C.

Nature. 2017 Apr 26;545(7655):446-451. doi: 10.1038/nature22364. Erratum in: Nature. 2017 Dec 20;:.

38.

Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC.

Agrawal V, Coroller TP, Hou Y, Lee SW, Romano JL, Baldini EH, Chen AB, Kozono D, Swanson SJ, Wee JO, Aerts HJWL, Mak RH.

PLoS One. 2017 Apr 20;12(4):e0174268. doi: 10.1371/journal.pone.0174268. eCollection 2017.

39.

From the Cover: MechanisticInsights in Cytotoxic and Cholestatic Potential of the Endothelial Receptor Antagonists Using HepaRG Cells.

Burbank MG, Sharanek A, Burban A, Mialanne H, Aerts H, Guguen-Guillouzo C, Weaver RJ, Guillouzo A.

Toxicol Sci. 2017 Jun 1;157(2):451-464. doi: 10.1093/toxsci/kfx062.

40.

Corrigendum: Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC.

Aerts HJ, Grossmann P, Tan Y, Oxnard GR, Rizvi N, Schwartz LH, Zhao B.

Sci Rep. 2017 Feb 17;7:41197. doi: 10.1038/srep41197. No abstract available.

41.

Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT.

Huynh E, Coroller TP, Narayan V, Agrawal V, Romano J, Franco I, Parmar C, Hou Y, Mak RH, Aerts HJ.

PLoS One. 2017 Jan 3;12(1):e0169172. doi: 10.1371/journal.pone.0169172. eCollection 2017.

42.

PET imaging of zirconium-89 labelled cetuximab: A phase I trial in patients with head and neck and lung cancer.

van Loon J, Even AJG, Aerts HJWL, Öllers M, Hoebers F, van Elmpt W, Dubois L, Dingemans AC, Lalisang RI, Kempers P, Brans B, Winnepenninckx V, Speel EJ, Thunnissen E, Smits KM, Boellaard R, Vugts DJ, De Ruysscher D, Lambin P.

Radiother Oncol. 2017 Feb;122(2):267-273. doi: 10.1016/j.radonc.2016.11.020. Epub 2016 Dec 21.

PMID:
28012793
43.

Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC.

Agrawal V, Coroller TP, Hou Y, Lee SW, Romano JL, Baldini EH, Chen AB, Jackman DM, Kozono D, Swanson SJ, Wee JO, Aerts HJ, Mak RH.

Lung Cancer. 2016 Dec;102:1-8. doi: 10.1016/j.lungcan.2016.10.002. Epub 2016 Oct 14.

PMID:
27987576
44.

Safikhani et al. reply.

Safikhani Z, El-Hachem N, Smirnov P, Freeman M, Goldenberg A, Birkbak NJ, Beck AH, Aerts HJ, Quackenbush J, Haibe-Kains B.

Nature. 2016 Nov 30;540(7631):E2-E4. doi: 10.1038/nature19839. No abstract available.

PMID:
27905430
45.

Safikhani et al. reply.

Safikhani Z, El-Hachem N, Smirnov P, Freeman M, Goldenberg A, Birkbak NJ, Beck AH, Aerts HJ, Quackenbush J, Haibe-Kains B.

Nature. 2016 Nov 30;540(7631):E11-E12. doi: 10.1038/nature20581. No abstract available.

PMID:
27905423
46.

Safikhani et al. reply.

Safikhani Z, El-Hachem N, Smirnov P, Freeman M, Goldenberg A, Birkbak NJ, Beck AH, Aerts HJ, Quackenbush J, Haibe-Kains B.

Nature. 2016 Nov 30;540(7631):E6-E8. doi: 10.1038/nature20172. No abstract available.

PMID:
27905416
47.

Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.

Coroller TP, Agrawal V, Huynh E, Narayan V, Lee SW, Mak RH, Aerts HJWL.

J Thorac Oncol. 2017 Mar;12(3):467-476. doi: 10.1016/j.jtho.2016.11.2226. Epub 2016 Nov 27.

48.

Clinical Outcomes After Lung Stereotactic Body Radiation Therapy in Patients With or Without a Prior Lung Resection.

Hou Y, Hermann G, Lewis JH, Aerts HJ, Baldini EH, Chen AB, Colson YL, Hacker FL, Killoran JH, Kozono DE, Wagar M, Wee JO, Mak RH.

Am J Clin Oncol. 2018 Jul;41(7):695-701. doi: 10.1097/COC.0000000000000344.

PMID:
27819875
49.

Imaging biomarker roadmap for cancer studies.

O'Connor JP, Aboagye EO, Adams JE, Aerts HJ, Barrington SF, Beer AJ, Boellaard R, Bohndiek SE, Brady M, Brown G, Buckley DL, Chenevert TL, Clarke LP, Collette S, Cook GJ, deSouza NM, Dickson JC, Dive C, Evelhoch JL, Faivre-Finn C, Gallagher FA, Gilbert FJ, Gillies RJ, Goh V, Griffiths JR, Groves AM, Halligan S, Harris AL, Hawkes DJ, Hoekstra OS, Huang EP, Hutton BF, Jackson EF, Jayson GC, Jones A, Koh DM, Lacombe D, Lambin P, Lassau N, Leach MO, Lee TY, Leen EL, Lewis JS, Liu Y, Lythgoe MF, Manoharan P, Maxwell RJ, Miles KA, Morgan B, Morris S, Ng T, Padhani AR, Parker GJ, Partridge M, Pathak AP, Peet AC, Punwani S, Reynolds AR, Robinson SP, Shankar LK, Sharma RA, Soloviev D, Stroobants S, Sullivan DC, Taylor SA, Tofts PS, Tozer GM, van Herk M, Walker-Samuel S, Wason J, Williams KJ, Workman P, Yankeelov TE, Brindle KM, McShane LM, Jackson A, Waterton JC.

Nat Rev Clin Oncol. 2017 Mar;14(3):169-186. doi: 10.1038/nrclinonc.2016.162. Epub 2016 Oct 11. Review.

50.

Inter-scan and inter-observer tumour volume delineation variability on cone beam computed tomography in patients treated with stereotactic body radiation therapy for early-stage non-small cell lung cancer.

Hou Y, Lee S, Agrawal V, Romano J, Baldini EH, Chen AB, Kozono DE, Killoran JH, Wagar M, Hacker FL, Aerts HJ, Lewis JH, Mak RH.

J Med Imaging Radiat Oncol. 2017 Feb;61(1):93-98. doi: 10.1111/1754-9485.12537. Epub 2016 Oct 5.

PMID:
27709803

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