Publication:
A novel method for the generation of realistic lung nodules visualized under X-ray imaging

dc.contributor.coauthorSinha A., King R.M., Minnaard J., Sterren W.V.D., Bydlon T., Bankier A.A., Gounis M.J.
dc.contributor.departmentKUH (Koç University Hospital)
dc.contributor.kuauthorPeker, Ahmet
dc.contributor.schoolcollegeinstituteKUH (KOÇ UNIVERSITY HOSPITAL)
dc.date.accessioned2025-03-06T21:00:38Z
dc.date.issued2024
dc.description.abstractObjective: Image-guided diagnosis and treatment of lung lesions is an active area of research. With the growing number of solutions proposed, there is also a growing need to establish a standard for the evaluation of these solutions. Thus, realistic phantom and preclinical environments must be established. Realistic study environments must include implanted lung nodules that are morphologically similar to real lung lesions under X-ray imaging. Methods: Various materials were injected into a phantom swine lung to evaluate the similarity to real lung lesions in size, location, density, and grayscale intensities in X-ray imaging. A combination of (Formula presented.) -butyl cyanoacrylate (n-BCA) and ethiodized oil displayed radiopacity that was most similar to real lung lesions, and various injection techniques were evaluated to ensure easy implantation and to generate features mimicking malignant lesions. Results: The techniques used generated implanted nodules with properties mimicking solid nodules with features including pleural extensions and spiculations, which are typically present in malignant lesions. Using only n-BCA, implanted nodules mimicking ground glass opacity were also generated. These results are condensed into a set of recommendations that prescribe the materials and techniques that should be used to reproduce these nodules. Conclusions: Generated recommendations on the use of n-BCA and ethiodized oil can help establish a standard for the evaluation of new image-guided solutions and refinement of algorithms in phantom and animal studies with realistic nodules.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorship\u201CThis research was funded by Philips (United States), grant number PJ-011665\u201D, and \u201CThe APC was funded by UMASS NECSTR\u201D.
dc.identifier.doi10.3390/tomography10120142
dc.identifier.issn2379-1381
dc.identifier.issue12
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-85213473817
dc.identifier.urihttps://doi.org/10.3390/tomography10120142
dc.identifier.urihttps://hdl.handle.net/20.500.14288/27937
dc.identifier.volume10
dc.identifier.wos1383719000001
dc.keywordsGround glass opacity
dc.keywordsLung cancer
dc.keywordsPulmonary neoplasm
dc.keywordsSolid nodules
dc.keywordsSolitary pulmonary lesions
dc.keywordsSynthetic lung nodules
dc.keywordsX-ray imaging
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (Multidisciplinary Digital Publishing Institute (MDPI))
dc.relation.ispartofTomography
dc.subjectOncology
dc.titleA novel method for the generation of realistic lung nodules visualized under X-ray imaging
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorPeker, Ahmet
local.publication.orgunit1KUH (KOÇ UNIVERSITY HOSPITAL)
local.publication.orgunit2KUH (Koç University Hospital)
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