Your new experience awaits. Try the new design now and help us make it even better

CORRECTION article

Front. Oncol., 02 October 2025

Sec. Thoracic Oncology

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1704648

This article is part of the Research TopicRadiomics and Artificial Intelligence in Oncology ImagingView all 22 articles

Correction: Prediction of lymph node metastasis in lung adenocarcinoma using a PET/CT radiomics-based ensemble learning model and its pathological basis

Shulin Li,Shulin Li1,2Fang ChenFang Chen3Lei Wang,Lei Wang1,2Zhiming Xiang*Zhiming Xiang2*
  • 1Postgraduate Cultivation Base of Guangzhou University of Chinese Medicine, Panyu Central Hospital, Guangzhou, China
  • 2Department of Radiology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China
  • 3Department of Pathology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China

“Nioche C, Orlhac F, Boughdad S, ReuzéS, Goya-Outi J, Robert C, et al. LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity. Cancer Res (2018) 78:4786–4789. doi: 10.1158/0008-5472.CAN-18-0125” was not cited in the article. The citation has now been inserted in the section 2 Materials and methods, 2.4 PET/CT image processing and feature extraction, Paragraph 1 and should read: “In this study, the lesion’s ROI delineation and feature extraction of PET/CT images were completed on LIFEx 7.4.0 (28).”

“Bankhead P, Loughrey MB, Fernández JA, Dombrowski Y, McArt DG, Dunne PD, et al. QuPath: Open source software for digital pathology image analysis. Sci Rep (2017) 7:16878. doi: 10.1038/s41598-017-17204-5” was not cited in the article. The citation has now been inserted in the section 2 Materials and methods, 2.7 WSI processing and feature extraction, Paragraph 1 and should read: “Tumor regions within WSIs were manually delineated utilizing Qupath 0.5.1 (29) and the feature extraction were completed on CellProfiler 4.2.7 (30).”

Reference 28 (Wang et al., 2021) and reference 32 (Liao et al., 2023) have been removed from the reference list.

Reference 31 was erroneously written as “Chen P, Rojas FR, Hu X, Serrano A, Zhu B, Chen H, et al. Pathomic features reveal immune and molecular evolution from lung preneoplasia to invasive adenocarcinoma. Mod Pathol. (2023) 36:100326. doi: 10.1016/j.modpat.2023.100326. It should be corrected to the original Reference 29: “Vahadane A, Peng T, Sethi A, Albarqouni S, Wang L, Baust M, et al. Structure-preserving color normalization and sparse stain separation for histological images. IEEE Trans Med Imaging. (2016) 35:1962–71. doi: 10.1109/TMI.2016.2529665.”

Reference 32 was erroneously written as “Liao X, Liu M, Li S, Huang W, Guo C, Liu J, et al. The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer. BMC Med Imaging. (2023) 23:49. doi: 10.1186/s12880-023-01004-7”. It should be corrected to the original Reference 31: “Chen P, Rojas FR, Hu X, Serrano A, Zhu B, Chen H, et al. Pathomic features reveal immune and molecular evolution from lung preneoplasia to invasive adenocarcinoma. Mod Pathol. (2023) 36:100326. doi: 10.1016/j.modpat.2023.100326.”

A correction has been made to the section 2 Materials and methods, 2.4 PET/CT image processing and feature extraction, Paragraph 1:

“In this study, the lesion’s ROI delineation and feature extraction of PET/CT images were completed on LIFEx 7.4.0 (28).”

A correction has been made to the section 2 Materials and methods, 2.7 WSI processing and feature extraction, Paragraph 1:

“Tumor regions within WSIs were manually delineated utilizing Qupath 0.5.1 (29) and the feature extraction were completed on CellProfiler 4.2.7 (30).”

“All patches underwent color normalization utilizing the Vahadane method (31) for subsequent processing.”

A correction has been made to the section 3 Results, 3.4 Pathomic features selection, Paragraph 1:

“However, differences in tumor cell morphology observed in histopathological images are not easily detected through manual inspection; instead, they could be distinguished using quantitative image features (32).”

A correction has been made to the section 4 Discussion, Paragraph 2:

“Previous studies have similarly reported that CEA was effective in predicting LNM in lung cancer patients (33).”

The original version of this article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: lung adenocarcinoma, lymph node metastasis, positron emission tomography, radiomics, pathomics, stacking ensemble learning

Citation: Li S, Chen F, Wang L and Xiang Z (2025) Correction: Prediction of lymph node metastasis in lung adenocarcinoma using a PET/CT radiomics-based ensemble learning model and its pathological basis. Front. Oncol. 15:1704648. doi: 10.3389/fonc.2025.1704648

Received: 13 September 2025; Accepted: 23 September 2025;
Published: 02 October 2025.

Edited and reviewed by:

Morgan Michalet, Institut du Cancer de Montpellier (ICM), Montpellier, France

Copyright © 2025 Li, Chen, Wang and Xiang. 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: Zhiming Xiang, eGlhbmd6aGltaW5nQHB5aG9zcGl0YWwuY29tLmNu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.