Evidence map›Paper›PMID 33274823›Full record

ArticleHuman brain mapping2021

Along-tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors.

Valentina Pieri, Francesco Sanvito, Marco Riva, Alessandro Petrini, Paola M V Rancoita, Sara Cirillo, Antonella Iadanza, Lorenzo Bello, Antonella Castellano, Andrea Falini

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 18 citations in OpenAlex.

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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.

Valentina PieriVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0001-9244-3834
Francesco SanvitoVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0003-3379-9958
Marco RivaDepartment of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy.ORCID 0000-0003-4643-6451
Alessandro PetriniDepartment of Computer Science, Università degli Studi di Milano, Milan, Italy.
Paola M V RancoitaUniversity Centre for Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0001-9345-691X
Sara CirilloVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-9437-5860
Antonella IadanzaVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0001-6421-6984
Lorenzo BelloNeurosurgical Oncology Unit, Humanitas Clinical and Research Center - IRCCS, Milan, Italy.ORCID 0000-0001-6797-7105
Antonella CastellanoVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-4137-9016
Andrea FaliniVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-1461-8755
Vita-Salute San Raffaele University · ITHumanitas University · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Along-tract statistics analysis enables the extraction of quantitative diffusion metrics along specific white matter fiber tracts. Besides quantitative metrics derived from classical diffusion tensor imaging (DTI), such as fractional anisotropy and diffusivities, new parameters reflecting the relative contribution of different diffusion compartments in the tissue can be estimated through advanced diffusion MRI methods as neurite orientation dispersion and density imaging (NODDI), leading to a more specific microstructural characterization. In this study, we extracted both DTI- and NODDI-derived quantitative microstructural diffusion metrics along the most eloquent fiber tracts in 15 healthy subjects and in 22 patients with brain tumors. We obtained a robust intraprotocol reference database of normative along-tract microstructural metrics, and their corresponding plots, from healthy fiber tracts. Each diffusion metric of individual patient's fiber tract was then plotted and statistically compared to the normative profile of the corresponding metric from the healthy fiber tracts. NODDI-derived metrics appeared to account for the pathological microstructural changes of the peritumoral tissue more accurately than DTI-derived ones. This approach may be useful for future studies that may compare healthy subjects to patients diagnosed with other pathological conditions.

Indexed as

AdultAgedBrain NeoplasmsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedNeuritesWhite MatterYoung Adultalong-tract profilebrain tumorsdiffusion tensor imagingHARDI MR tractographyneurite orientation dispersion and density imaging

Identifiers

PMID33274823
PMCPMC7927309
OpenAlexW3110152516

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.