Risk of recurrence after chemoradiotherapy identified by multimodal MRI and 18F-FDG-PET/CT in locally advanced cervical cancer.
Female
Humans
Fluorodeoxyglucose F18
Positron Emission Tomography Computed Tomography
Uterine Cervical Neoplasms
/ diagnostic imaging
Radiopharmaceuticals
Tomography, X-Ray Computed
/ methods
Positron-Emission Tomography
/ methods
Chemoradiotherapy
Magnetic Resonance Imaging
/ methods
Diffusion Magnetic Resonance Imaging
Cervical cancer
Hypoxia
Multimodal imaging
Prognostic biomarkers
SUV
Journal
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
received:
10
03
2022
revised:
24
08
2022
accepted:
02
09
2022
pubmed:
17
9
2022
medline:
2
12
2022
entrez:
16
9
2022
Statut:
ppublish
Résumé
MRI, applying dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) sequences, and 18F-fluorodeoxyglucose (18F-FDG) PET/CT provide information about tumor aggressiveness that is unexploited in treatment of locally advanced cervical cancer (LACC). We investigated the potential of a multimodal combination of imaging parameters for classifying patients according to their risk of recurrence. Eighty-two LACC patients with diagnostic MRI and FDG-PET/CT, treated with chemoradiotherapy, were collected. Thirty-eight patients with MRI only were included for validation of MRI results. Endpoints were survival (disease-free, cancer-specific, overall) and tumor control (local, locoregional, distant). K HF showed a stronger association with outcome than the single modality parameters. This association was confirmed in the validation cohort. Low HF identified low-risk patients with 95% precision. Based on the 50th SUV-percentile (SUV Multimodal combination of MR- and FDG-PET/CT-images improves classification of LACC patients compared to single modality images and clinical factors.
Sections du résumé
BACKGROUND AND PURPOSE
MRI, applying dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) sequences, and 18F-fluorodeoxyglucose (18F-FDG) PET/CT provide information about tumor aggressiveness that is unexploited in treatment of locally advanced cervical cancer (LACC). We investigated the potential of a multimodal combination of imaging parameters for classifying patients according to their risk of recurrence.
MATERIALS AND METHODS
Eighty-two LACC patients with diagnostic MRI and FDG-PET/CT, treated with chemoradiotherapy, were collected. Thirty-eight patients with MRI only were included for validation of MRI results. Endpoints were survival (disease-free, cancer-specific, overall) and tumor control (local, locoregional, distant). K
RESULTS
HF showed a stronger association with outcome than the single modality parameters. This association was confirmed in the validation cohort. Low HF identified low-risk patients with 95% precision. Based on the 50th SUV-percentile (SUV
CONCLUSION
Multimodal combination of MR- and FDG-PET/CT-images improves classification of LACC patients compared to single modality images and clinical factors.
Identifiants
pubmed: 36113778
pii: S0167-8140(22)04266-9
doi: 10.1016/j.radonc.2022.09.002
pii:
doi:
Substances chimiques
Fluorodeoxyglucose F18
0Z5B2CJX4D
Radiopharmaceuticals
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
17-24Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.