Pretreatment CT and


Journal

Journal of medical imaging and radiation oncology
ISSN: 1754-9485
Titre abrégé: J Med Imaging Radiat Oncol
Pays: Australia
ID NLM: 101469340

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 07 06 2020
accepted: 21 10 2020
pubmed: 2 12 2020
medline: 6 11 2021
entrez: 1 12 2020
Statut: ppublish

Résumé

To develop a radiomic-based model to predict pathological complete response (pCR) and outcome following neoadjuvant chemoradiotherapy (NACRT) in oesophageal cancer. We analysed 68 patients with oesophageal cancer treated with NACRT followed by esophagectomy, who had staging 18F-fluorodeoxyglucose ( Median follow-up was 59 months. pCR was achieved in 34 (50%) patients. Five-year RFS, LRC, MFS and OS were 67.1%, 88.5%, 75.6% and 57.6%, respectively. Tumour Regression Grade (TRG) 0-1 indicative of complete response or minimal residual disease was significantly associated with improved 5-year LRC [93.7% vs 71.8%; P = 0.020; HR 0.19, 95% CI 0.04-0.85]. Four sepjmirote pCR predictive models were built for CT alone, PET alone, CT+PET and composite. CT, PET and CT+PET models had AUC 0.73 ± 0.08, 0.66 ± 0.08 and 0.77 ± 0.07, respectively. The composite model resulted in an improvement of pCR predicting power with AUC 0.87 ± 0.06. Stratifying patients with a low versus high radiomic score showed clinically relevant improvement in 5-year LRC favouring low-score group (91.1% vs. 80%, 95% CI 0.09-1.77, P = 0.2). The composite CT/PET radiomics model was highly predictive of pCR following NACRT. Validation in larger data sets is warranted to determine whether the model can predict clinical outcomes.

Identifiants

pubmed: 33258556
doi: 10.1111/1754-9485.13128
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102-111

Informations de copyright

© 2020 The Royal Australian and New Zealand College of Radiologists.

Références

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Auteurs

Anupam Rishi (A)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Geoffrey G Zhang (GG)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Zhigang Yuan (Z)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Austin J Sim (AJ)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Ethan Y Song (EY)

Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.

Eduardo G Moros (EG)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Michal R Tomaszewski (MR)

Department of Cancer Physiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Kujtim Latifi (K)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Jose M Pimiento (JM)

Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Jacques-Pierre Fontaine (JP)

Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Rutika Mehta (R)

Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Louis B Harrison (LB)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Sarah E Hoffe (SE)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

Jessica M Frakes (JM)

Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.

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Classifications MeSH