Evidence map›Paper›PMID 41993630›Full record

ArticleTheranostics2026

Voxel-accurate MRI-microscopy Correlation Enables AI-powered Prediction of Brain Disease States.

Julian Schroers, Yvonne Yang, Ekin Reyhan, Nirosan Sivapalan, Einar Ismail-Zade, Alina Heuer, Jonas G Scheck, Atefeh Pourkhalili Langeroudi, Obada T Alhalabi, Tara Moghiseh and 12 more

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PubMed Full text at PMC Publisher
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Article in Theranostics, 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

22 authors.

Julian SchroersNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Yvonne YangNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Ekin ReyhanNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Nirosan SivapalanNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Einar Ismail-ZadeNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Alina HeuerNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Jonas G ScheckDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Atefeh Pourkhalili LangeroudiNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Obada T AlhalabiNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Tara MoghisehNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Manuel FischerDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
David BatraNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Johann JendeDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Felix SahmDepartment of Neuropathology, Heidelberg University, Heidelberg, Germany.
Bogdana SuchorskaDepartment of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.
Franziska Maria IppenNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Dieter Henrik HeilandGerman Cancer Consortium (DKTK), Germany.
Matthia A KarremanNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.
Franz L RicklefsDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Michael O BreckwoldtDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Felix T KurzDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Varun VenkataramaniNeurology Clinic, National Center for Tumor Diseases and European Center for Neurooncology (EZN), Heidelberg University Hospital, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Magnetic resonance imaging (MRI) is essential for visualizing the healthy and diseased brain, yet the cellular basis of MRI signal and how it changes over time remain poorly understood. Methods: Here, we present Results: Using BRIDGE, we identified a microenvironmental vessel biomarker for early metastatic colonization in patient-derived xenograft models of breast cancer brain metastasis. In particular, we found that distinct T2*-weighted hypointense lesions correspond to reduced blood flow and erythrostasis in perimetastatic capillaries. In glioma, longitudinal intravital studies further demonstrated direct correlations between non-vasogenic T2-weighted signal changes and patient-dependent tumor growth dynamics. Conclusions: Taken together, BRIDGE advances radiological interpretation by establishing a microscopic ground truth for MRI signatures over time, enabling deep learning-based predictive histology and providing cellular level insights into tumor microenvironment with direct clinical imaging implications.

Indexed as

Brain DiseasesBrain NeoplasmsMagnetic Resonance ImagingMicroscopyAnimalsBrainBreast NeoplasmsConvolutional Neural NetworksDeep LearningFemaleGliomaHumansImage Processing, Computer-AssistedMiceco-registrationdeep learning algorithms.glioblastomaintravital light microscopyMRI

Identifiers

PMID41993630
PMCPMC13080658

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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.