1,081
Views
16
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

DBCG hypo trial validation of radiotherapy parameters from a national data bank versus manual reporting

ORCID Icon, , , , , , , & show all
Pages 107-112 | Received 15 Sep 2017, Accepted 08 Nov 2017, Published online: 05 Dec 2017

References

  • Roelofs E, Persoon L, Nijsten S, et al. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial. Radiother Oncol. 2013;108:174–179.
  • Roelofs E, Persoon L, Qamhiyeh S, et al. Design of and technical challenges involved in a framework for multicentric radiotherapy treatment planning studies. Radiother Oncol. 2010;97:567–571.
  • Skripcak T, Belka C, Bosch W, et al. Creating a data exchange strategy for radiotherapy research: Towards federated databases and anonymised public datasets. Radiother Oncol. 2014;113:303–309.
  • Fairchild A, Aird E, Fenton PA, et al. Eortc radiation oncology group quality assurance platform: establishment of a digital central review facility. Radiother Oncol. 2012;103:279–286.
  • Källman HE, Halsius E, Olsson M, et al. Dicom metadata repository for technical information in digital medical images. Acta Oncol. 2009;48:285–288.
  • Laprise NK, Hanusik R, Fitzgerald TJ, et al. Developing a multi-institutional PACS archive and designing processes to manage the shift from a film to a digital-based archive. J Digit Imaging. 2009;22:15–24.
  • Roelofs E, Dekker A, Meldolesi E, et al. International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining. Radiother Oncol. 2014;110:370–374.
  • Westberg J, Krogh S, Brink C, et al. A DICOM based radiotherapy plan database for research collaboration and reporting. J Phys: Conf Ser. 2014;489:012100.
  • Zukauskaite R, Hansen CR, Brink C, et al. Analysis of CT-verified loco-regional recurrences after definitive IMRT for HNSCC using site of origin estimation methods. Acta Oncol. 2017;56:1554–1561.
  • Møller DS, Nielsen TB, Brink C, et al. Heterogeneous FDG-guided dose-escalation for locally advanced NSCLC (the NARLAL2 trial): design and early dosimetric results of a randomized, multi-centre phase-III study. Radiother Oncol. 2017;124:311–317.
  • Hansen O, Knap MM, Khalil A, et al. A randomized phase II trial of concurrent chemoradiation with two doses of radiotherapy, 60Gy and 66Gy, concomitant with a fixed dose of oral vinorelbine in locally advanced NSCLC. Radiother Oncol. 2017;123:276–281.
  • Pan Y, Brink C, Knap M, et al. Acute esophagitis for patients with local-regional advanced non small cell lung cancer treated with concurrent chemoradiotherapy. Radiother Oncol. 2016;118:465–470.
  • Rønjom MF, Brink C, Bentzen SM, et al. External validation of a normal tissue complication probability model for radiation-induced hypothyroidism in an independent cohort. Acta Oncol. 2015;54:1301–1309.
  • Mouridsen H, Christiansen P, Jensen MB, et al. Provision of data from the clinical database and of biological material from the tumour bank of the danish breast cancer cooperative group 2008–2017. Submitted for Acta Oncol. 2017.
  • Dawson R. How significant is a boxplot outlier? J Stat Educ. 2011;19:1–13.
  • ICRU Report 83. Prescribing, Recording, and Reporting Photon-Beam IMRT. Technical report, International commission on radiation units and measurements, 7010 Woodmont Avenue Bethesda, Maryland 20814 U.S.A, 2010.
  • Westberg J, Jensen HR, Bertelsen A, et al. Reduction of Cone-beam CT scan time without compromising the accuracy of the image registration in IGRT. Acta Oncol. 2010;49:225–229.
  • Santanam L, Hurkmans C, Mutic S, et al. Standardizing naming conventions in radiation oncology. Int J Radiat Oncol Biol Phys. 2012;83:1344–1349.
  • Nyholm T, Olsson C, Agrup M, et al. A national approach for automated collection of standardized and population-based radiation therapy data in Sweden. Radiother Oncol. 2016;119:344–350.
  • Denton TR, Shields LBE, Hahl M, et al. Guidelines for treatment naming in radiation oncology. J Appl Clin Med Phys. 2016;17:123–138.
  • McIntosh C, Svistoun I, Purdie TG. Groupwise conditional random forests for automatic shape classification and contour quality assessment in radiotherapy planning. IEEE Trans Med Imaging. 2013;32:1043–1057.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.