The prognostic value of [<sup>18</sup>F]FDG PET/CT texture analysis prior to transplantation for unresectable colorectal liver metastases

Although some texture parameters were able to significantly predict DFS and OS, MTV seems to be superior to predict both DFS and OS following LT for unresectable CRLM.

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Publication Details

Journal
Clinical Physiology and Functional Imaging
Published
2024-10-02
DOI
https://doi.org/10.1111/cpf.12908
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40
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article

The prognostic value of [18F]FDG PET/CT texture analysis prior to transplantation for unresectable colorectal liver metastases

Harald Grut, Nadide Mutlukoca Stern, Caroline Stokke, Lars Tore Gyland Mikalsen et al.
1 citations
Clinical Physiology and Functional Imaging
Radiomics and Machine Learning in Medical Imaging
0.40
article

The prognostic value of [18F]FDG PET/CT texture analysis prior to transplantation for unresectable colorectal liver metastases

Harald Grut, Nadide Mutlukoca Stern, Caroline Stokke, Lars Tore Gyland Mikalsen, Svein Dueland, Pål‐Dag Line, Anselm Schulz
article en
1 citations

Abstract

Although some texture parameters were able to significantly predict DFS and OS, MTV seems to be superior to predict both DFS and OS following LT for unresectable CRLM.

Clinical Physiology and Functional ImagingVol. 45(1)
Oslo University Hospital (NO), University of Oslo (NO), Vestre Viken Hospital Trust (NO)
Good health and well-being
Openalex Percentile: Top 34%
Radiomics and Machine Learning in Medical Imaging
0.40
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