Evidence map›Paper›PMID 42382230›Full record

ArticlePlant phenomics (Washington, D.C.)2026

Atlas-based spatiotemporal MRI phenotyping of 3D fungal spread in grapevine wood.

Gargee Phukon, Maïda Cardoso, Christophe Goze-Bac, Loïc Le Cunff, Jean-Luc Verdeil, Cédric Moisy, Romain Fernandez

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2026. 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
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.

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

7 authors.

Gargee PhukonUMR AGAP Institut, INRAE, F-34398, Montpellier, France.
Maïda CardosoBNIF University of Montpellier, Place Eugène Bataillon, Montpellier, France.
Christophe Goze-BacBNIF University of Montpellier, Place Eugène Bataillon, Montpellier, France.
Loïc Le CunffIFV, French Institute of Vine and Wine, IFV, INRAE, UMT Géno-Vigne, Institut Agro, 34398, Montpellier, France.
Jean-Luc VerdeilUMR AGAP Institut, INRAE, F-34398, Montpellier, France.
Cédric MoisyIFV, French Institute of Vine and Wine, IFV, INRAE, UMT Géno-Vigne, Institut Agro, 34398, Montpellier, France.
Romain FernandezUMR AGAP Institut, INRAE, F-34398, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In perennial crops, inner wood degradation by pathogens often escapes detection until irreversible damage has occurred. Grapevine trunk diseases (GTDs) are a well-known example in viticulture that alter plants from within, years before foliar symptoms arise, making early assessment difficult. To overcome this limitation, we present a novel non-destructive 3D + t pipeline for high-resolution Magnetic Resonance Imaging (MRI) spatial quantification and monitoring of early internal host tissue degradation resulting from fungal pathogen colonization. The pipeline integrates spatiotemporal anatomical alignment and rigid registration; a generalized cylindrical-coordinate transformation; supervised segmentation of water-depleted regions; and population-level statistical analyses, including population mean images, probabilistic atlases, and 3D lesion descriptors. Applied to multiple

Indexed as

Anatomical phenotypingGrapevine trunk diseases (GTDs)Magnetic resonance imaging (MRI)Probabilistic atlasTime-lapse tracking

Identifiers

PMID42382230
PMCPMC13316239

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.