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An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.

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Title: An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.
Authors: Eminaga, Okyaz1,2 okyaz.eminaga@stanford.edu, Ge, T. Jessie1, Shkolyar, Eugene1, Laurie, Mark A.1, Lee, Timothy J.1, Hockman, Lukas1, Jia, Xiao3, Xing, Lei3, Liao, Joseph C.1,2 jliao@stanford.edu
Source: Journal of Medical Systems. Nov2022, Vol. 46 Issue 11, p1-9. 9p. 2 Color Photographs, 1 Diagram, 2 Charts, 2 Graphs.
Subjects: Cystoscopy, Health Insurance Portability & Accountability Act, Bar codes, Photography, Descriptive statistics, Bladder diseases, Video recording, Algorithms
Abstract: Processing full-length cystoscopy videos is challenging for documentation and research purposes. We therefore designed a surgeon-guided framework to extract short video clips with bladder lesions for more efficient content navigation and extraction. Screenshots of bladder lesions were captured during transurethral resection of bladder tumor, then manually labeled according to case identification, date, lesion location, imaging modality, and pathology. The framework used the screenshot to search for and extract a corresponding 10-seconds video clip. Each video clip included a one-second space holder with a QR barcode informing the video content. The success of the framework was measured by the secondary use of these short clips and the reduction of storage volume required for video materials. From 86 cases, the framework successfully generated 249 video clips from 230 screenshots, with 14 erroneous video clips from 8 screenshots excluded. The HIPPA-compliant barcodes provided information of video contents with a 100% data completeness. A web-based educational gallery was curated with various diagnostic categories and annotated frame sequences. Compared with the unedited videos, the informative short video clips reduced the storage volume by 99.5%. In conclusion, our framework expedites the generation of visual contents with surgeon's instruction for cystoscopy and potential incorporation of video data towards applications including clinical documentation, education, and research. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.
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  Data: <searchLink fieldCode="AR" term="%22Eminaga%2C+Okyaz%22">Eminaga, Okyaz</searchLink><relatesTo>1,2</relatesTo><i> okyaz.eminaga@stanford.edu</i><br /><searchLink fieldCode="AR" term="%22Ge%2C+T%2E+Jessie%22">Ge, T. Jessie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shkolyar%2C+Eugene%22">Shkolyar, Eugene</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Laurie%2C+Mark+A%2E%22">Laurie, Mark A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Timothy+J%2E%22">Lee, Timothy J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hockman%2C+Lukas%22">Hockman, Lukas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jia%2C+Xiao%22">Jia, Xiao</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Xing%2C+Lei%22">Xing, Lei</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Liao%2C+Joseph+C%2E%22">Liao, Joseph C.</searchLink><relatesTo>1,2</relatesTo><i> jliao@stanford.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Systems%22">Journal of Medical Systems</searchLink>. Nov2022, Vol. 46 Issue 11, p1-9. 9p. 2 Color Photographs, 1 Diagram, 2 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Cystoscopy%22">Cystoscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Health+Insurance+Portability+%26+Accountability+Act%22">Health Insurance Portability & Accountability Act</searchLink><br /><searchLink fieldCode="DE" term="%22Bar+codes%22">Bar codes</searchLink><br /><searchLink fieldCode="DE" term="%22Photography%22">Photography</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Bladder+diseases%22">Bladder diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Video+recording%22">Video recording</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Data: Processing full-length cystoscopy videos is challenging for documentation and research purposes. We therefore designed a surgeon-guided framework to extract short video clips with bladder lesions for more efficient content navigation and extraction. Screenshots of bladder lesions were captured during transurethral resection of bladder tumor, then manually labeled according to case identification, date, lesion location, imaging modality, and pathology. The framework used the screenshot to search for and extract a corresponding 10-seconds video clip. Each video clip included a one-second space holder with a QR barcode informing the video content. The success of the framework was measured by the secondary use of these short clips and the reduction of storage volume required for video materials. From 86 cases, the framework successfully generated 249 video clips from 230 screenshots, with 14 erroneous video clips from 8 screenshots excluded. The HIPPA-compliant barcodes provided information of video contents with a 100% data completeness. A web-based educational gallery was curated with various diagnostic categories and annotated frame sequences. Compared with the unedited videos, the informative short video clips reduced the storage volume by 99.5%. In conclusion, our framework expedites the generation of visual contents with surgeon's instruction for cystoscopy and potential incorporation of video data towards applications including clinical documentation, education, and research. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Nov2022
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