Sequential PET/CT with [18F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis.
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Authors
Pecori, Biagio
Lastoria, Secondo
Caracò, Corradina
Celentani, Marco
Tatangelo, Fabiana
Avallone, Antonio
Rega, Daniela
De Palma, Giampaolo
Mormile, Maria
Budillon, Alfredo
Muto, Paolo
Bianco, Francesco
Petrillo, Antonella
Delrio, Paolo
Publication Date
2017Journal Title
PLoS One
ISSN
1932-6203
Publisher
Public Library of Science (PLoS)
Volume
12
Issue
1
Pages
e0169462
Language
eng
Type
Article
This Version
VoR
Physical Medium
Electronic-eCollection
Metadata
Show full item recordCitation
Pecori, B., Lastoria, S., Caracò, C., Celentani, M., Tatangelo, F., Avallone, A., Rega, D., et al. (2017). Sequential PET/CT with [18F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis.. PLoS One, 12 (1), e0169462. https://doi.org/10.1371/journal.pone.0169462
Abstract
UNLABELLED: Previous studies indicate that FDG PET/CT may predict pathological response in patients undergoing neoadjuvant chemo-radiotherapy for locally advanced rectal cancer (LARC). Aim of the current study is evaluate if pathological response can be similarly predicted in LARC patients after short course radiation therapy alone. METHODS: Thirty-three patients with cT2-3, N0-2, M0 rectal adenocarcinoma treated with hypo fractionated short course neoadjuvant RT (5x5 Gy) with delayed surgery (SCRTDS) were prospectively studied. All patients underwent 3 PET/CT studies at baseline, 10 days from RT end (early), and 53 days from RT end (delayed). Maximal standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) of the primary tumor were measured and recorded at each PET/CT study. We use logistic regression analysis to aggregate different measures of metabolic response to predict the pathological response in the course of SCRTDS. RESULTS: We provide straightforward formulas to classify response and estimate the probability of being a major responder (TRG1-2) or a complete responder (TRG1) for each individual. The formulas are based on the level of TLG at the early PET and on the overall proportional reduction of TLG between baseline and delayed PET studies. CONCLUSIONS: This study demonstrates that in the course of SCRTDS it is possible to estimate the probabilities of pathological tumor responses on the basis of PET/CT with FDG. Our formulas make it possible to assess the risks associated to LARC borne by a patient in the course of SCRTDS. These risk assessments can be balanced against other health risks associated with further treatments and can therefore be used to make informed therapy adjustments during SCRTDS.
Keywords
Aged, Combined Modality Therapy, Female, Fluorodeoxyglucose F18, Humans, Logistic Models, Male, Middle Aged, Neoplasm Staging, Positron Emission Tomography Computed Tomography, Preoperative Care, Prognosis, ROC Curve, Radiotherapy, Rectal Neoplasms, Treatment Outcome
Identifiers
External DOI: https://doi.org/10.1371/journal.pone.0169462
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287178
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