The impact of respiratory gating on improving volume measurement of murine lung tumors in micro-CT imaging.

dc.contributor.author

Blocker, SJ

dc.contributor.author

Holbrook, MD

dc.contributor.author

Mowery, YM

dc.contributor.author

Sullivan, DC

dc.contributor.author

Badea, CT

dc.contributor.editor

Karathanasis, Efstathios

dc.date.accessioned

2021-04-01T21:48:43Z

dc.date.available

2021-04-01T21:48:43Z

dc.date.issued

2020-01

dc.date.updated

2021-04-01T21:48:41Z

dc.description.abstract

Small animal imaging has become essential in evaluating new cancer therapies as they are translated from the preclinical to clinical domain. However, preclinical imaging faces unique challenges that emphasize the gap between mouse and man. One example is the difference in breathing patterns and breath-holding ability, which can dramatically affect tumor burden assessment in lung tissue. As part of a co-clinical trial studying immunotherapy and radiotherapy in sarcomas, we are using micro-CT of the lungs to detect and measure metastases as a metric of disease progression. To effectively utilize metastatic disease detection as a metric of progression, we have addressed the impact of respiratory gating during micro-CT acquisition on improving lung tumor detection and volume quantitation. Accuracy and precision of lung tumor measurements with and without respiratory gating were studied by performing experiments with in vivo images, simulations, and a pocket phantom. When performing test-retest studies in vivo, the variance in volume calculations was 5.9% in gated images and 15.8% in non-gated images, compared to 2.9% in post-mortem images. Sensitivity of detection was examined in images with simulated tumors, demonstrating that reliable sensitivity (true positive rate (TPR) ≥ 90%) was achievable down to 1.0 mm3 lesions with respiratory gating, but was limited to ≥ 8.0 mm3 in non-gated images. Finally, a clinically-inspired "pocket phantom" was used during in vivo mouse scanning to aid in refining and assessing the gating protocols. Application of respiratory gating techniques reduced variance of repeated volume measurements and significantly improved the accuracy of tumor volume quantitation in vivo.

dc.identifier

PONE-D-19-29841

dc.identifier.issn

1932-6203

dc.identifier.issn

1932-6203

dc.identifier.uri

https://hdl.handle.net/10161/22515

dc.language

eng

dc.publisher

Public Library of Science (PLoS)

dc.relation.ispartof

PloS one

dc.relation.isversionof

10.1371/journal.pone.0225019

dc.subject

Animals

dc.subject

Mice, Inbred C57BL

dc.subject

Mice, Transgenic

dc.subject

Mice

dc.subject

Lung Neoplasms

dc.subject

Disease Models, Animal

dc.subject

Lung Volume Measurements

dc.subject

Sensitivity and Specificity

dc.subject

Phantoms, Imaging

dc.subject

X-Ray Microtomography

dc.subject

Respiratory-Gated Imaging Techniques

dc.subject

Data Accuracy

dc.title

The impact of respiratory gating on improving volume measurement of murine lung tumors in micro-CT imaging.

dc.type

Journal article

duke.contributor.orcid

Blocker, SJ|0000-0002-6665-7844

duke.contributor.orcid

Mowery, YM|0000-0002-9839-2414

duke.contributor.orcid

Sullivan, DC|0000-0002-7556-5650

duke.contributor.orcid

Badea, CT|0000-0002-1850-2522

pubs.begin-page

e0225019

pubs.issue

2

pubs.organisational-group

School of Medicine

pubs.organisational-group

Biomedical Engineering

pubs.organisational-group

Duke Cancer Institute

pubs.organisational-group

Radiology

pubs.organisational-group

Duke

pubs.organisational-group

Pratt School of Engineering

pubs.organisational-group

Institutes and Centers

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Duke Clinical Research Institute

pubs.organisational-group

Radiation Oncology

pubs.organisational-group

Head and Neck Surgery & Communication Sciences

pubs.publication-status

Published

pubs.volume

15

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
The impact of respiratory gating on improving volume measurement of murine lung tumors in micro-CT imaging.pdf
Size:
3.36 MB
Format:
Adobe Portable Document Format