Aarhus University Seal

Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4)

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperComment/debate/letter to the editorResearchpeer-review

  • Simon Mylius Rasmussen, Department of Otolaryngology at the Southdanish University Hospital
  • ,
  • Thomas Nielsen
  • Sofie Hody
  • ,
  • Henrik Hager
  • Lars Peter Schousboe, Department of Otolaryngology at the Southdanish University Hospital, University of Southern Denmark

The original version of this Article contained errors. Table 1 contained several errors in the values given for “Full time frame”, “10 seconds”, “5 seconds” and “2 seconds” for “Confidence interval of difference” and “P”. The incorrect and correct values appear below. Incorrect:(Figure Presented.).Correct:(Figure Presented.)As a result, in the Results section, “Significant differences were observed regardless of time periods comparing mean flow values in biopsy vs. nonbiopsy areas. So perfusion indexes are significantly different in the cancer tissue vs. the healthy tissue.” now reads: “Significant differences were observed for the full time frame and for periods of 10 seconds comparing mean flow values in biopsy vs. non-biopsy areas. So perfusion indexes are significantly different in the cancer tissue vs. the healthy tissue in the full time frame and in periods of 10 seconds.”.in addition, in the Discussion section, under the subheading ‘Future studies’, “Differences in signal flow between cancer and healthy tissue were observed not only in the total signal length, but also in shorter time segments (10 s, 5 s, 2 s). This indicates that significant differences can be found in short video recordings. In theory, a device to do video signal processing and visually present margins with a delay of 2 s might be usable and be of value in clinical practice. It may even be possible to differentiate in a time segment lower than 1 s leading to near real-time analysis. For this option, the time segments would have to be shortened to about 0.1 s29 to be of a real-time experience. If the pulsation is a necessary component for the differentiation, this will be a limiting factor of how short a time-frame can be achieved. Another goal could be to do the flow analysis to visualize margin detection during resection. It would be beneficialto study the spatial resolution of the flow algorithm, which we will investigate in future studies.”now reads:“Differences in signal flow between cancer and healthy tissue were observed not only in the total signal length, but also in shorter time segments of 10 seconds. This indicates that significant differences can be found in short video recordings. In theory, a device to do video signal processing and visually present margins with a delay of 10 seconds mightbe usable and be of value in clinical practice. It could be implemented as an examination tool for use before or during surgery. Another goal could be to do the flow analysis to visualize margin detection during resection. It would be beneficial to study the spatial resolution of the flow algorithm, which we will investigate in future studies.” The original Article has been corrected.

Original languageEnglish
Article number3521
JournalScientific Reports
Volume12
Issue1
Number of pages2
ISSN2045-2322
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

See relations at Aarhus University Citationformats

ID: 259072123