A contrast-enhanced CT-based whole-spleen radiomics signature for early prediction of oxaliplatin-related thrombocytopenia in patients with gastrointestinal malignancies: a retrospective study

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Introduction

Materials & Methods

Patient population

CT image acquisition

Spleen segmentation, volume measurement and radiomics feature extraction

Radiomics feature selection and radiomics signature development

Clinical model and clinical-radiomics model development and performance evaluation

Statistical analysis

Results

Patient characteristics

Follow-up

Radiomics signature construction and validation

Clinical model and clinical-radiomics model development and performance evaluation

Discussion

Conclusions

Supplemental Information

An example of the semi-automatic segmentation of the whole spleen using the Nvidia AI-Assisted Annotation (Nvidia AIAA) extension implemented in 3D Slicer

(A) Boundary points were set near the edge of spleen on axial, sagittal and coronal views. (B) Semi-automatic segmentation of 3D Slicer software. (C) Interactive correction of the segmentation if necessary. Large blood vessels were carefully excluded. (D) The final segmentation.

DOI: 10.7717/peerj.16230/supp-1

Oxaliplatin-based chemotherapy regimens

DOI: 10.7717/peerj.16230/supp-2

Rad-score calculation formula

DOI: 10.7717/peerj.16230/supp-3

Additional Information and Declarations

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Yuhong Dai performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Yiqi Cheng performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Ziling Zhou performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Zhen Li conceived and designed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Yan Luo analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Hong Qiu conceived and designed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Human Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

This retrospective study was approved by the Ethics Committee of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.

Data Availability

The following information was supplied regarding data availability:

The raw data are available in the Supplemental Files.

Funding

This work was supported by grants from the National Natural Science Foundation of China (NSFC) No. 82001786, the Top Independent Innovation Physician Funded Projects of Huazhong University of Science and Technology (No. 3011540024, 5001540074, 5001540095) and the Wuhan Young and Middle-age Medical Backbone Training Project (No. 2016whzqnyxggrcl). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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