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Items: 1 to 20 of 39

1.

Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer.

de Jong EEC, van Elmpt W, Rizzo S, Colarieti A, Spitaleri G, Leijenaar RTH, Jochems A, Hendriks LEL, Troost EGC, Reymen B, Dingemans AC, Lambin P.

Lung Cancer. 2018 Oct;124:6-11. doi: 10.1016/j.lungcan.2018.07.023. Epub 2018 Jul 20.

2.

A Deep Look into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change.

Morin O, Vallières M, Jochems A, Woodruff HC, Valdes G, Braunstein SE, Wildberger JE, Villanueva-Meyer JE, Kearney V, Yom SS, Solberg TD, Lambin P.

Int J Radiat Oncol Biol Phys. 2018 Aug 28. pii: S0360-3016(18)33638-1. doi: 10.1016/j.ijrobp.2018.08.032. [Epub ahead of print] Review.

PMID:
30170101
3.

Pre-treatment CT radiomics to predict 3-year overall survival following chemoradiotherapy of esophageal cancer.

Larue RTHM, Klaassen R, Jochems A, Leijenaar RTH, Hulshof MCCM, van Berge Henegouwen MI, Schreurs WMJ, Sosef MN, van Elmpt W, van Laarhoven HWM, Lambin P.

Acta Oncol. 2018 Aug 1:1-7. doi: 10.1080/0284186X.2018.1486039. [Epub ahead of print]

PMID:
30067421
4.

A review on radiomics and the future of theranostics for patient selection in precision medicine.

Keek SA, Leijenaar RT, Jochems A, Woodruff HC.

Br J Radiol. 2018 Jul 5:20170926. doi: 10.1259/bjr.20170926. [Epub ahead of print]

PMID:
29947266
5.

Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer.

Dinapoli N, Barbaro B, Gatta R, Chiloiro G, Casà C, Masciocchi C, Damiani A, Boldrini L, Gambacorta MA, Dezio M, Mattiucci GC, Balducci M, van Soest J, Dekker A, Lambin P, Fiorino C, Sini C, De Cobelli F, Di Muzio N, Gumina C, Passoni P, Manfredi R, Valentini V.

Int J Radiat Oncol Biol Phys. 2018 May 4. pii: S0360-3016(18)30743-0. doi: 10.1016/j.ijrobp.2018.04.065. [Epub ahead of print]

PMID:
29891200
6.

Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score.

Sanduleanu S, Woodruff HC, de Jong EEC, van Timmeren JE, Jochems A, Dubois L, Lambin P.

Radiother Oncol. 2018 Jun;127(3):349-360. doi: 10.1016/j.radonc.2018.03.033. Epub 2018 May 18. Review.

7.

How Advances in Imaging Will Affect Precision Radiation Oncology.

Jaffray DA, Das S, Jacobs PM, Jeraj R, Lambin P.

Int J Radiat Oncol Biol Phys. 2018 Jun 1;101(2):292-298. doi: 10.1016/j.ijrobp.2018.01.047. Epub 2018 Jan 31.

PMID:
29726358
8.

Results and adverse events of personalized peptide receptor radionuclide therapy with 90Yttrium and 177Lutetium in 1048 patients with neuroendocrine neoplasms.

Baum RP, Kulkarni HR, Singh A, Kaemmerer D, Mueller D, Prasad V, Hommann M, Robiller FC, Niepsch K, Franz H, Jochems A, Lambin P, Hörsch D.

Oncotarget. 2018 Feb 15;9(24):16932-16950. doi: 10.18632/oncotarget.24524. eCollection 2018 Mar 30.

9.

Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response.

Verduin M, Compter I, Steijvers D, Postma AA, Eekers DBP, Anten MM, Ackermans L, Ter Laan M, Leijenaar RTH, van de Weijer T, Tjan-Heijnen VCG, Hoeben A, Vooijs M.

Dis Markers. 2018 Jan 17;2018:2908609. doi: 10.1155/2018/2908609. eCollection 2018. Review.

10.

18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) - A prospective externally validated study.

Carvalho S, Leijenaar RTH, Troost EGC, van Timmeren JE, Oberije C, van Elmpt W, de Geus-Oei LF, Bussink J, Lambin P.

PLoS One. 2018 Mar 1;13(3):e0192859. doi: 10.1371/journal.pone.0192859. eCollection 2018.

11.

Towards a Clinical Decision Support System for External Beam Radiation Oncology Prostate Cancer Patients: Proton vs. Photon Radiotherapy? A Radiobiological Study of Robustness and Stability.

Walsh S, Roelofs E, Kuess P, van Wijk Y, Vanneste B, Dekker A, Lambin P, Jones B, Georg D, Verhaegen F.

Cancers (Basel). 2018 Feb 18;10(2). pii: E55. doi: 10.3390/cancers10020055.

12.

Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study.

Leijenaar RT, Bogowicz M, Jochems A, Hoebers FJ, Wesseling FW, Huang SH, Chan B, Waldron JN, O'Sullivan B, Rietveld D, Leemans CR, Brakenhoff RH, Riesterer O, Tanadini-Lang S, Guckenberger M, Ikenberg K, Lambin P.

Br J Radiol. 2018 Jun;91(1086):20170498. doi: 10.1259/bjr.20170498. Epub 2018 Mar 22.

PMID:
29451412
13.

Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer.

Cusumano D, Dinapoli N, Boldrini L, Chiloiro G, Gatta R, Masciocchi C, Lenkowicz J, Casà C, Damiani A, Azario L, Van Soest J, Dekker A, Lambin P, De Spirito M, Valentini V.

Radiol Med. 2018 Apr;123(4):286-295. doi: 10.1007/s11547-017-0838-3. Epub 2017 Dec 11.

PMID:
29230678
14.

Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients.

Tunali I, Stringfield O, Guvenis A, Wang H, Liu Y, Balagurunathan Y, Lambin P, Gillies RJ, Schabath MB.

Oncotarget. 2017 Oct 6;8(56):96013-96026. doi: 10.18632/oncotarget.21629. eCollection 2017 Nov 10.

15.

Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor models.

Bogowicz M, Leijenaar RTH, Tanadini-Lang S, Riesterer O, Pruschy M, Studer G, Unkelbach J, Guckenberger M, Konukoglu E, Lambin P.

Radiother Oncol. 2017 Dec;125(3):385-391. doi: 10.1016/j.radonc.2017.10.023. Epub 2017 Nov 6.

PMID:
29122358
16.

Radiomics: the bridge between medical imaging and personalized medicine.

Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue RTHM, Even AJG, Jochems A, van Wijk Y, Woodruff H, van Soest J, Lustberg T, Roelofs E, van Elmpt W, Dekker A, Mottaghy FM, Wildberger JE, Walsh S.

Nat Rev Clin Oncol. 2017 Dec;14(12):749-762. doi: 10.1038/nrclinonc.2017.141. Epub 2017 Oct 4. Review.

PMID:
28975929
17.

Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study.

Larue RTHM, van Timmeren JE, de Jong EEC, Feliciani G, Leijenaar RTH, Schreurs WMJ, Sosef MN, Raat FHPJ, van der Zande FHR, Das M, van Elmpt W, Lambin P.

Acta Oncol. 2017 Nov;56(11):1544-1553. doi: 10.1080/0284186X.2017.1351624. Epub 2017 Sep 8.

PMID:
28885084
18.

Feature selection methodology for longitudinal cone-beam CT radiomics.

van Timmeren JE, Leijenaar RTH, van Elmpt W, Reymen B, Lambin P.

Acta Oncol. 2017 Nov;56(11):1537-1543. doi: 10.1080/0284186X.2017.1350285. Epub 2017 Aug 22.

PMID:
28826307
19.

4DCT imaging to assess radiomics feature stability: An investigation for thoracic cancers.

Larue RTHM, Van De Voorde L, van Timmeren JE, Leijenaar RTH, Berbée M, Sosef MN, Schreurs WMJ, van Elmpt W, Lambin P.

Radiother Oncol. 2017 Oct;125(1):147-153. doi: 10.1016/j.radonc.2017.07.023. Epub 2017 Aug 7.

20.

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.

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