NCT04209972

Brief Summary

To assess the variability of semi-automated volume measurements of pulmonary nodules on same-day repeated scans of equal radiation dose from two different CT scanners: One high-end CT scanner with standard spatial resolution (CT1) and one UHRCT scanner (CT2), in patients with known or suspected pulmonary metastases.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
92

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Mar 2019

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 11, 2019

Completed
9 days until next milestone

First Submitted

Initial submission to the registry

March 20, 2019

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 30, 2019

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 30, 2019

Completed
5 months until next milestone

First Posted

Study publicly available on registry

December 24, 2019

Completed
Last Updated

December 24, 2019

Status Verified

March 1, 2019

Enrollment Period

5 months

First QC Date

March 20, 2019

Last Update Submit

December 23, 2019

Conditions

Keywords

Ultra-high resolution CTvolume measumerents

Outcome Measures

Primary Outcomes (1)

  • The main endpoint of this study is the difference in precision in millimeter between the two CT scanners.

    The precision of each scanner is obtained by the standard deviation between the two measurements. The difference between scanners is tested with an F-test and the precision of each scanner is shown by a Bland-Altman plot

    4 months

Secondary Outcomes (2)

  • Evaluation of image quality (segmentation errors)

    5 months

  • Evaluation of image quality (motion artefacts)

    5 months

Other Outcomes (4)

  • Patient characteristics (age)

    4 months

  • Patient characteristics (height)

    4 months

  • Patient characteristics (weight)

    4 months

  • +1 more other outcomes

Study Arms (2)

Patients on CT1

ACTIVE COMPARATOR

Patients will undergo two pre-contrast scans, and will be in between the two scans be off and on the table at a standard CT scanner. (Aquilion One Genesis, Canon Medical Systems)

Device: Genesis high-end CT scanner

Patients on CT2

ACTIVE COMPARATOR

Patients will undergo two pre-contrast scans, and will be in between the two scans be off and on the table at a UHRCT scanner. (Aquilion One Precision, Canon Medical Systems)

Device: Precision Ultra-High-Resolution CT scanner

Interventions

Patients will be divided on one of the two CT scanners. This group will be scanned on the Precision CT scanner.

Patients on CT2

Patients will be divided on one of the two CT scanners. This group will be scanned on the Aquilion one Genesis.

Patients on CT1

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • years of age or older
  • A solid primary tumour anywhere in the body and solid, noncalcified nodules in the pulmonary parenchyma on previous CT scans suspected for pulmonary metastases, according to radiological reports
  • Two lung nodules that do not abut vessels or pleura with a two dimensional diameter between 5 and 10 mm within a distance of each other of 16 cm in the craniocaudal direction

You may not qualify if:

  • Immobility (not able to stand up and get off the scanner table)
  • Patients who received local pulmonary treatment: Radiotherapy, Excision, Ablation
  • Patients with radiologically suspected lymphangitis carcinomatosa or consolidations around the nodules.
  • Patients who only have calcified pulmonary nodules or nodules that abut vessels or pleura.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Radboudumc

Nijmegen, Gelderland, 6500 HB, Netherlands

Location

Related Publications (17)

  • van der Molen AJ, Schilham A, Stoop P, Prokop M, Geleijns J. A national survey on radiation dose in CT in The Netherlands. Insights Imaging. 2013 Jun;4(3):383-90. doi: 10.1007/s13244-013-0253-9. Epub 2013 May 15.

  • Deak PD, Smal Y, Kalender WA. Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product. Radiology. 2010 Oct;257(1):158-66. doi: 10.1148/radiol.10100047.

  • Alpert JB, Ko JP. Management of Incidental Lung Nodules: Current Strategy and Rationale. Radiol Clin North Am. 2018 May;56(3):339-351. doi: 10.1016/j.rcl.2018.01.002. Epub 2018 Mar 7.

  • MacMahon H, Naidich DP, Goo JM, Lee KS, Leung ANC, Mayo JR, Mehta AC, Ohno Y, Powell CA, Prokop M, Rubin GD, Schaefer-Prokop CM, Travis WD, Van Schil PE, Bankier AA. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology. 2017 Jul;284(1):228-243. doi: 10.1148/radiol.2017161659. Epub 2017 Feb 23.

  • Baldwin DR, Callister ME; Guideline Development Group. The British Thoracic Society guidelines on the investigation and management of pulmonary nodules. Thorax. 2015 Aug;70(8):794-8. doi: 10.1136/thoraxjnl-2015-207221. Epub 2015 Jul 1.

  • Devaraj A, van Ginneken B, Nair A, Baldwin D. Use of Volumetry for Lung Nodule Management: Theory and Practice. Radiology. 2017 Sep;284(3):630-644. doi: 10.1148/radiol.2017151022.

  • Wormanns D, Kohl G, Klotz E, Marheine A, Beyer F, Heindel W, Diederich S. Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility. Eur Radiol. 2004 Jan;14(1):86-92. doi: 10.1007/s00330-003-2132-0. Epub 2003 Nov 13.

  • Gietema HA, Schaefer-Prokop CM, Mali WP, Groenewegen G, Prokop M. Pulmonary nodules: Interscan variability of semiautomated volume measurements with multisection CT-- influence of inspiration level, nodule size, and segmentation performance. Radiology. 2007 Dec;245(3):888-94. doi: 10.1148/radiol.2452061054. Epub 2007 Oct 8.

  • Goodman LR, Gulsun M, Washington L, Nagy PG, Piacsek KL. Inherent variability of CT lung nodule measurements in vivo using semiautomated volumetric measurements. AJR Am J Roentgenol. 2006 Apr;186(4):989-94. doi: 10.2214/AJR.04.1821.

  • Hein PA, Romano VC, Rogalla P, Klessen C, Lembcke A, Bornemann L, Dicken V, Hamm B, Bauknecht HC. Variability of semiautomated lung nodule volumetry on ultralow-dose CT: comparison with nodule volumetry on standard-dose CT. J Digit Imaging. 2010 Feb;23(1):8-17. doi: 10.1007/s10278-008-9157-5. Epub 2008 Sep 5.

  • Han D, Heuvelmans MA, Oudkerk M. Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening. Transl Lung Cancer Res. 2017 Feb;6(1):52-61. doi: 10.21037/tlcr.2017.01.05.

  • Tanaka R, Yoshioka K, Takagi H, Schuijf JD, Arakita K. Novel developments in non-invasive imaging of peripheral arterial disease with CT: experience with state-of-the-art, ultra-high-resolution CT and subtraction imaging. Clin Radiol. 2019 Jan;74(1):51-58. doi: 10.1016/j.crad.2018.03.002. Epub 2018 Apr 5.

  • Zhou W, Montoya J, Gutjahr R, Ferrero A, Halaweish A, Kappler S, McCollough C, Leng S. Lung Nodule Volume Quantification and Shape Differentiation with an Ultra-High Resolution Technique on a Photon Counting Detector CT System. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132:101323Q. doi: 10.1117/12.2255736. Epub 2017 Mar 9.

  • de Hoop B, Gietema H, van Ginneken B, Zanen P, Groenewegen G, Prokop M. A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations. Eur Radiol. 2009 Apr;19(4):800-8. doi: 10.1007/s00330-008-1229-x. Epub 2008 Nov 19.

  • Leng S, Gutjahr R, Ferrero A, Kappler S, Henning A, Halaweish A, Zhou W, Montoya J, McCollough C. Ultra-High Spatial Resolution, Multi-Energy CT using Photon Counting Detector Technology. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132:101320Y. doi: 10.1117/12.2255589. Epub 2017 Mar 9.

  • Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986 Feb 8;1(8476):307-10.

  • Kalra MK, Sodickson AD, Mayo-Smith WW. CT Radiation: Key Concepts for Gentle and Wise Use. Radiographics. 2015 Oct;35(6):1706-21. doi: 10.1148/rg.2015150118.

MeSH Terms

Conditions

Solitary Pulmonary Nodule

Condition Hierarchy (Ancestors)

Lung DiseasesRespiratory Tract Diseases

Study Officials

  • Monique Brink, PhD, MD

    Radboud University Medical Center

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
Patients does not know if he is on the standard CT scanner, or on the UHR CT scanner
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Model Details: 2 groups, 40 patients on one CT scanner, 40 different patients on the other CT scanner.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 20, 2019

First Posted

December 24, 2019

Study Start

March 11, 2019

Primary Completion

July 30, 2019

Study Completion

July 30, 2019

Last Updated

December 24, 2019

Record last verified: 2019-03

Locations