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Integrating PET and MRI Radiomics for Staging and Prognostic Stratification in Anal Canal Cancer
by
Mesci, Aruz
, Murad, Vanessa
, Veit-Haibach, Patrick
, Ortega, Claudia
, Metser, Ur
, Avery, Lisa
, Kohan, Andres
in
Anus
/ Biomarkers
/ Biopsy
/ Cancer
/ Care and treatment
/ Computed tomography
/ Human papillomavirus
/ Magnetic resonance imaging
/ Medical research
/ Medicine, Experimental
/ Metastasis
/ Positron emission tomography
/ Radiomics
/ Software
/ Squamous cell carcinoma
/ Tumors
2025
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Integrating PET and MRI Radiomics for Staging and Prognostic Stratification in Anal Canal Cancer
by
Mesci, Aruz
, Murad, Vanessa
, Veit-Haibach, Patrick
, Ortega, Claudia
, Metser, Ur
, Avery, Lisa
, Kohan, Andres
in
Anus
/ Biomarkers
/ Biopsy
/ Cancer
/ Care and treatment
/ Computed tomography
/ Human papillomavirus
/ Magnetic resonance imaging
/ Medical research
/ Medicine, Experimental
/ Metastasis
/ Positron emission tomography
/ Radiomics
/ Software
/ Squamous cell carcinoma
/ Tumors
2025
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Do you wish to request the book?
Integrating PET and MRI Radiomics for Staging and Prognostic Stratification in Anal Canal Cancer
by
Mesci, Aruz
, Murad, Vanessa
, Veit-Haibach, Patrick
, Ortega, Claudia
, Metser, Ur
, Avery, Lisa
, Kohan, Andres
in
Anus
/ Biomarkers
/ Biopsy
/ Cancer
/ Care and treatment
/ Computed tomography
/ Human papillomavirus
/ Magnetic resonance imaging
/ Medical research
/ Medicine, Experimental
/ Metastasis
/ Positron emission tomography
/ Radiomics
/ Software
/ Squamous cell carcinoma
/ Tumors
2025
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Integrating PET and MRI Radiomics for Staging and Prognostic Stratification in Anal Canal Cancer
Journal Article
Integrating PET and MRI Radiomics for Staging and Prognostic Stratification in Anal Canal Cancer
2025
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Overview
This study examined whether radiomic features extracted from PET and MRI can enhance prognostication and staging in anal squamous cell carcinoma. A PET-derived shape feature, SHAPE_Volume(vx)(log), was a strong predictor of progression-free survival, and a two-feature model incorporating a heterogeneity measure (GLZLM_SZE) further improved long-term predictive performance. Additionally, eleven PET- and MRI-derived features reliably distinguished early (stage I/II) from advanced (stage III/IV) disease. These findings support the potential of integrated PET/MRI radiomics as non-invasive biomarkers for refined staging and individualized risk stratification, offering clinically meaningful information that may assist treatment planning and patient management.
Publisher
MDPI AG,Multidisciplinary Digital Publishing Institute (MDPI)
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