Evidence map›Paper›PMID 36523999›Full record

ArticleFrontiers in oncology2022

Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study.

Matteo Nardini, Amedeo Capotosti, Lorenzo Nicola Mazzoni, Davide Cusumano, Luca Boldrini, Giuditta Chiloiro, Angela Romano, Vincenzo Valentini, Luca Indovina, Lorenzo Placidi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Multi-center diffusion-weighted MRI validation for 0.35T MR-Linac.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
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

10 authors at 3 institutions in 1 country.

Matteo NardiniFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Amedeo CapotostiFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Lorenzo Nicola MazzoniAzienda Unità Sanitaria Locale (AUSL) Toscana Centro, Medical Physics Unit, Prato-Pistoia, Italy.
Davide CusumanoFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Luca BoldriniFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Giuditta ChiloiroFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Angela RomanoFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Vincenzo ValentiniFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Luca IndovinaFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Lorenzo PlacidiFondazione Policlinico Universitario "Agostino Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Agostino Gemelli University Polyclinic · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITAzienda Usl Toscana Centro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to assess the quality of a new diffusion-weighted imaging (DWI) sequence implemented on an MR-Linac MRIdian system, evaluating and optimizing the acquisition parameters to explore the possibility of clinically implementing a DWI acquisition protocol in a 0.35-T MR-Linac. Materials and methods: All the performed analyses have been carried out on two types of phantoms: a homogeneous 24-cm diameter polymethylmethacrylate (PMMA) sphere (SP) and a homemade phantom (HMP) constating in a PMMA cylinder filled with distilled water with empty sockets into which five cylindrical vials filled with five different concentrations of methylcellulose water solutions have been inserted. SP was used to evaluate the dependence of diffusion gradient inhomogeneity artifacts on gantry position. Four diffusion sequences with Results: In order to acquire high-quality artifact-free DWI images, the "slice" gradient direction has been identified to be the optimal one and 0° to be the best gradient angle. Both the SNR ratio and the uniformity increase with the number of averages. A threshold value of 80 for SNR and 85% for uniformity was adopted to choose the best number of averages. By making a compromise between time and quality and limiting the number of Conclusion: The quality of the DWI has been accurately evaluated in relation to different sequence parameters, and optimal parameters have been identified to select a clinical protocol for the acquisition of ADC maps sustainable in the workflow of a hybrid radiotherapy system with a 0.35-T MRI scanner.

Indexed as

ADCdiffusionDWIMRgRTMRIMR-linac

Identifiers

PMID36523999
PMCPMC9745186
OpenAlexW4310208596

What OpenQuestion holds

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Registered trials

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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.