Evaluating Mobile Tele-radiology Performance for the Task of Analyzing Lung Lesions on CT Images
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021 -- 25 March 2021 through 26 March 2021 -- Virtual, Online -- 264109
Anahtar Kelimeler
Bland-Altman method, Lesion size measurement, Lung CT, Lung lesions, Measurement uncertainties, Non-parametric method, Tele-radiology, Tumor burden measurement
Kaynak
Lecture Notes in Electrical Engineering
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
784 LNEE
