Correction: Diagnostic performance of eNose technology in detecting colorectal cancer recurrence: A prospective evaluation
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsColorectal Cancer Screening and Detection · AI in cancer detection · Colorectal Cancer Surgical Treatments
The sixth author’s initials appear incorrectly in the citation. The correct citation is: Schoenaker IJH, van Westreenen HL, Finnema EJ, Schrauwen R, Brohet RM, de Vos tot Nederveen Cappel, WH (2026) Diagnostic performance of eNose technology in detecting colorectal cancer recurrence: A prospective evaluation. PLoS One 21(1): e0340276. https://doi.org/10.1371/journal.pone.0340276
The publisher apologizes for the error.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Schoenaker IJH, van Westreenen HL, Finnema EJ, Schrauwen R, Brohet RM, Nederveen Cappel WH de VT. Diagnostic performance of e Nose technology in detecting colorectal cancer recurrence: A prospective evaluation. P Lo S One. 2026;21(1):e 0340276. doi: 10.1371/journal.pone.0340276 41499531 PMC 12779126 · doi ↗ · pubmed ↗