Automated assessment of functional lung imaging with

Delineation Gallium 68 Regional lung function V/Q PET/CT

Journal

EJNMMI physics
ISSN: 2197-7364
Titre abrégé: EJNMMI Phys
Pays: Germany
ID NLM: 101658952

Informations de publication

Date de publication:
07 Mar 2021
Historique:
received: 17 12 2020
accepted: 25 02 2021
entrez: 7 3 2021
pubmed: 8 3 2021
medline: 8 3 2021
Statut: epublish

Résumé

Functional lung mapping from Ga Sixty-six patients recruited from a prospective clinical trial underwent both V/Q PET/CT imaging and PFT analysis before treatment. PET images were normalised using an iterative histogram analysis technique to account for tracer hotspots prior to the threshold-based delineation of varying values. Pearson's correlation between fractional lung function and PFT score was calculated for ventilation, perfusion, and matched imaging volumes at varying threshold values. For all functional imaging thresholds, only FEV1/FVC PFT yielded reasonable correlations to image-based functional volume. For ventilation, a range of 10-30% of adapted peak uptake value provided a reasonable threshold to define a volume that correlated with FEV1/FVC (r = 0.54-0.61). For perfusion imaging, a similar correlation was observed (r = 0.51-0.56) in the range of 20-60% adapted peak threshold. Matched volumes were closely linked to ventilation with a threshold range of 15-35% yielding a similar correlation (r = 0.55-0.58). Histogram normalisation may be implemented to determine the presence of tracer clumping hotspots in Ga-68 V/Q PET imaging allowing for automated delineation of functional lung and standardisation of functional volume reporting.

Identifiants

pubmed: 33677692
doi: 10.1186/s40658-021-00375-6
pii: 10.1186/s40658-021-00375-6
pmc: PMC7937580
doi:

Types de publication

Journal Article

Langues

eng

Pagination

23

Subventions

Organisme : National Health and Medical Research Council
ID : APP1038399

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Auteurs

Lachlan McIntosh (L)

Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia. lachlan.mcintosh@petermac.org.

Price Jackson (P)

Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.
Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.

Nicholas Hardcastle (N)

Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, 3010, Australia.
Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, 2522, Australia.

Mathias Bressel (M)

Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

Tomas Kron (T)

Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, 3010, Australia.

Jason W Callahan (JW)

Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.

Daniel Steinfort (D)

Respiratory Medicine, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia.

Nicholas Bucknell (N)

Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, 3010, Australia.
Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.

Michael S Hofman (MS)

Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, 3010, Australia.

Shankar Siva (S)

Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, 3010, Australia.
Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.

Classifications MeSH