Skip to Content
BiomedicinesBiomedicines
  • Correction
  • Open Access

19 March 2026

1 Page

Correction: Xiang et al. Preoperative Differentiation of Non-Subungual Glomus Tumors from Other Superficial Soft Tissue Tumors Using a Clinical and Ultrasound-Based Model. Biomedicines 2025, 13, 2883

,
,
,
,
,
,
and
Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Error in Affiliation(s)
In the published article [1], there was an error regarding the affiliations for all authors. The original affiliations 1 (Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen 518036, China) and 2 (Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China) have been merged into one unified address. The correct affiliation is: Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Xiang, H.; Dan, Q.; Zhai, Y.; Guo, A.; Shen, Y.; Wang, R.; Sun, D.; Chen, X. Preoperative Differentiation of Non-Subungual Glomus Tumors from Other Superficial Soft Tissue Tumors Using a Clinical and Ultrasound-Based Model. Biomedicines 2025, 13, 2883. [Google Scholar] [CrossRef] [Scilit] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.