Evidence map›Paper›PMID 34520670›Full record

ArticleThe British journal of radiology2021

Potential role of functional imaging in predicting outcome for patients treated with carbon ion therapy: a review.

Giulia Riva, Sara Imparato, Giovanni Savietto, Mattia Pecorilla, Alberto Iannalfi, Amelia Barcellini, Sara Ronchi, Maria Rosaria Fiore, Chiara Paganelli, Giulia Buizza and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Giulia RivaClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Sara ImparatoClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Giovanni SaviettoUnit of Radiology, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy.
Mattia PecorillaClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Alberto IannalfiClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Amelia BarcelliniClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Sara RonchiClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Maria Rosaria FioreClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Chiara PaganelliDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milano, Italy.
Giulia BuizzaDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milano, Italy.
Mario CioccaClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
Guido BaroniDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milano, Italy.
Lorenzo PredaUnit of Radiology, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy.
Ester OrlandiClinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.
National Center for Oncological Hadrontherapy · ITPolitecnico di Milano · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCarbon ion radiation therapy (CIRT) is an emerging radiation technique with advantageous physical and radiobiologic properties compared to conventional radiotherapy (RT) providing better response in case of radioresistant and hypoxic tumors. Our aim is to critically review if functional imaging techniques could play a role in predicting outcome of CIRT-treated tumors, as already proven for conventional RT.

methods14 studies, concerning Magnetic resonance imaging (MRI) and Positron Emission Tomography (PET), were selected after a comprehensive search on multiple electronic databases from January 2000 to March 2020.

resultsMRI studies (n = 5) focused on diffusion-weighted MRI and, even though quantitative parameters were the same in all studies (apparent diffusion coefficient, ADC), results were not univocal, probably due to different imaging acquisition protocols and tumoral histology. For PET studies (n = 9), different tracers were used such as [

conclusionNo conclusion can be drawn on the predictive value of functional imaging in CIRT-treated tumors. A standardization of image acquisition, multi-institutional large trials and external validations are needed in order to establish the prognostic value of functional imaging in CIRT and to guide clinical practice. ADVANCES IN KNOWLEDGE: Emerging studies focused on functional imaging's role in predicting CIRT outcome. Due to the heterogeneity of images acquisition and studies, results are conflicting and prospective large studies with imaging standardized protocol are needed.

Indexed as

Heavy Ion RadiotherapyHumansMagnetic Resonance ImagingNeoplasmsPositron-Emission TomographyTreatment Outcome

Identifiers

PMID34520670
PMCPMC8631012
OpenAlexW3200951068

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.