Evidence map›Paper›PMID 40071079›Full record

ArticleSovremennye tekhnologii v meditsine2025

Individual Brain Tumor Invasion Mapping Based on Diffusion Kurtosis Imaging.

E L Pogosbekyan, N E Zakharova, A I Batalov, A M Shevchenko, L M Fadeeva, A E Bykanov, A N Tyurina, I V Chekhonin, S A Galstyan, D I Pitskhelauri and 2 more

Abstract read
In one paragraph

Article in Sovremennye tekhnologii v meditsine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

E L PogosbekyanMedical Physicist, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
N E ZakharovaMD, DSc, Professor of the Russian Academy of Sciences, Chief Researcher, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
A I BatalovMD, PhD, Researcher, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
A M ShevchenkoRadiologist, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
L M FadeevaLeading Engineer, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
A E BykanovMD, PhD, Researcher, Neurosurgery Department No.7; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
A N TyurinaMD, PhD, Researcher, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
I V ChekhoninMD, PhD, Radiologist, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
S A GalstyanPathologist, Department of Pathology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
D I PitskhelauriMD, DSc, Professor, Head of Neurosurgery Department No.7; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
I N ProninMD, DSc, Professor, Academician of the Russian Academy of Sciences, Head of the Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.
D Yu UsachevMD, DSc, Professor, Academician of the Russian Academy of Sciences, Director; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials and Methods: A healthy volunteer and two patients (one with glioblastoma and the other with a single metastasis of small cell lung cancer) were examined by DKI obtaining 12 parametric kurtosis maps for each participant. Results: During the investigation, we have developed an algorithm of DKI analysis and plotting the profile of tissue parameters in the direction from the tumor towards the unaffected white matter according to the data of standard MRI. Changes of the DKI indicators along the trajectories built using the proposed algorithm in the perifocal zone of glioblastoma and metastasis have been compared in this work. We obtained not only changes in the parameters (gradients in trajectory plots) but also a visual reflection (on color maps) of a known pathomorphology of the process - no significant gradients of DKI parameters were detected in the perifocal metastasis edema, since there was a pure vasogenic edema and no infiltrative component. In glioblastoma, gradients of DKI parameters were found not only in the zone of perifocal edema but beyond the zone of MR signal as well, which is believed to reflect diffusion disorders along the white matter fibers and different degrees of brain tissue infiltration by glioblastoma cells. Conclusion: The developed algorithm of DKI analysis in brain tumors makes it possible to determine the degree of changes in the tissue microstructure in the perifocal zone of brain glioblastoma relative to the metastasis. The study aimed at obtaining individual maps of tumor invasion, which will be applied in planning neurosurgical and radiation treatment and for predicting directions of further growth of malignant gliomas.

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingGlioblastomaAlgorithmsFemaleHumansMaleNeoplasm InvasivenessWhite Matterdiffusion kurtosis MRIhigh-grade malignant gliomasmetastasestumor invasion maps

Identifiers

PMID40071079
PMCPMC11892574

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