Evaluating Mobile Tele-radiology Performance for the Task of Analyzing Lung Lesions on CT Images

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dc.authorscopusid55983004000
dc.authorscopusid57263753500
dc.authorscopusid56913166300
dc.authorscopusid57263753600
dc.authorscopusid57262846400
dc.authorscopusid6507754227
dc.contributor.authorKaya, Omer
dc.contributor.authorKara, Ezgi
dc.contributor.authorInan, Ibrahim
dc.contributor.authorKara, Erkan
dc.contributor.authorMatur, Miray
dc.contributor.authorGuvenis, Albert
dc.date.accessioned2024-09-19T15:41:18Z
dc.date.available2024-09-19T15:41:18Z
dc.date.issued2022
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.descriptionInternational Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021 -- 25 March 2021 through 26 March 2021 -- Virtual, Online -- 264109en_US
dc.description.abstractThe accurate detection of lung lesions as well as the precise measurement of their sizes on Computed Tomography (CT) images is known to be crucial for the response to therapy assessment of cancer patients. The goal of this study is to investigate the feasibility of using mobile tele-radiology for this task in order to improve efficiency in radiology. Lung CT Images were obtained from The Cancer Imaging Archive (TCIA). The Bland-Altman analysis method was used to compare and assess conventional radiology and mobile radiology based lesion size measurements. Percentage of correctly detected lesions at the right image locations was also recorded. Sizes of 183 lung lesions between 5 and 52 mm in CT images were measured by two experienced radiologists. Bland-Altman plots were drawn, and limits of agreements (LOA) were determined as 0.025 and 0.975 percentiles (?1.00, 0.00), (?1.39, 0.00). For lesions of 10 mm and higher, these intervals were found to be much smaller than the decision interval (?30% and +20%) recommended by the RECIST 1.1 criteria. In average, observers accurately detected 98.2% of the total 271 lesions on the medical monitor, while they detected 92.8% of the nodules on the iPhone. In conclusion, mobile tele-radiology can be a feasible alternative for the accurate measurement of lung lesions on CT images. A higher resolution display technology such as iPad may be preferred in order to detect new small <5 mm lesions more accurately. Further studies are needed to confirm these results with more mobile technologies and types of lesions. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.description.sponsorshipNational Institutes of Health, NIH; National Cancer Institute, NCIen_US
dc.identifier.doi10.1007/978-981-16-3880-0_13
dc.identifier.endpage123en_US
dc.identifier.isbn978-981163879-4
dc.identifier.issn1876-1100
dc.identifier.scopus2-s2.0-85115163437en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage116en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-16-3880-0_13
dc.identifier.urihttps://hdl.handle.net/20.500.12483/14171
dc.identifier.volume784 LNEEen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Electrical Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBland-Altman methoden_US
dc.subjectLesion size measurementen_US
dc.subjectLung CTen_US
dc.subjectLung lesionsen_US
dc.subjectMeasurement uncertaintiesen_US
dc.subjectNon-parametric methoden_US
dc.subjectTele-radiologyen_US
dc.subjectTumor burden measurementen_US
dc.titleEvaluating Mobile Tele-radiology Performance for the Task of Analyzing Lung Lesions on CT Imagesen_US
dc.typeConference Objecten_US

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