Amir Jabbarpour1
Eric Moulton2,3
Sanaz Kaviani3,4Siraj Ghassel2Wanzhen Zeng4,5Ramin Akbarian4,5Anne Couture6
Aubert Roy7
Richard Liu8
Yousif A. Lucinian6
Nuha Hejji4,5Sukainah AlSulaiman4,5Farnaz Shirazi4,5Eugene Leung4,5Sierra Bonsall9
Samir Arfin9Bruce G. Gray9
Ran Klein1,2,4,5*
- 1Department of Physics, Carleton University, Ottawa, ON, Canada
- 2Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada
- 3Research & Development, Jubilant DraxImage, Kirkland, QC, Canada
- 4Division of Nuclear Medicine and Molecular Imaging, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- 5Department of Nuclear Medicine and Molecular Imaging, The Ottawa Hospital, Ottawa, ON, Canada
- 6Department of Radiology and Nuclear Medicine, Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada
- 7McGill University Faculty of Medicine, Rue de la Montagne, Montréal, QC, Canada
- 8Department of Nuclear Medicine, Jewish General Hospital, Montreal, QC, Canada
- 9Department of Medical Imaging, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON, Canada
A Correction on
By Jabbarpour A, Moulton E, Kaviani S, Ghassel S, Zeng W, Akbarian R, Couture A, Roy A, Liu R, Lucinian YA, Hejji N, AlSulaiman S, Shirazi F, Leung E, Bonsall S, Arfin S, Gray BG and Klein R (2025). Front Nucl Med. 5:1632112. doi: 10.3389/fnume.2025.1632112
We have incorrectly opined about the performance of a private company's third party software. The performance related to Canadian zip codes as well as other types of data was due to a user error and improper configuration of the tool by the authors. We have made the following edits:
A correction has been made to the section “Methods, Anonymization of DICOM files and de-identification of clinical reports, second paragraph”. The correct paragraph reads:
“For clinical report texts, we adopted and compounded the effect of the following three independent approaches as a conservative de-identification strategy: (1) Segmed Inc.'s Python-based web server was used to remove PII/PHI from clinical reports, (2) RegEx rules were used to remove Canadian formatted addresses and postal codes in Python, and (3) resulting texts were fed to a Microsoft Copilot agent that was instructed to list suspected people names, addresses, street names, 5–8 digit numbers, business names, clinic names and occupations. The agent was further prompted to ignore medical terms. The resulting terms were then manually screened for relevance, the terms were searched for in the text and then replaced with “[Anon]”.”
A correction has been made to the section “Discussion, Data Ingestion, first paragraph”. The correct paragraph reads:
“QA revealed our unstructured text data to be properly de-identified, highlighting the effectiveness of our multiple layers of de-identification approaches. Structured DICOM data from hospital sources proved straightforward to robustly de-identify using our strategy. Also, during our QA process, various non-structured DICOM tags, such as series description, used during splitting process were identified and addressed accordingly to preserve integrity of workflow.”
Original reference 27 has been removed.
The original version of this article has been updated.
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Keywords: database, image annotation, crowdsourcing, ventilation-perfusion scintigraphy, pulmonary embolism
Citation: Jabbarpour A, Moulton E, Kaviani S, Ghassel S, Zeng W, Akbarian R, Couture A, Roy A, Liu R, Lucinian YA, Hejji N, AlSulaiman S, Shirazi F, Leung E, Bonsall S, Arfin S, Gray BG and Klein R (2025) Correction: On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB). Front. Nucl. Med. 5:1671281. doi: 10.3389/fnume.2025.1671281
Received: 22 July 2025; Accepted: 31 July 2025;
Published: 12 August 2025.
Approved by Frontiers Editorial Office, Frontiers Media SA, Switzerland
Copyright: © 2025 Jabbarpour, Moulton, Kaviani, Ghassel, Zeng, Akbarian, Couture, Roy, Liu, Lucinian, Hejji, AlSulaiman, Shirazi, Leung, Bonsall, Arfin, Gray and Klein. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ran Klein, cmtsZWluQHRvaC5jYQ==