Evidence map›Paper›PMID 37388754›Full record

ArticleSovremennye tekhnologii v meditsine2023

Radiomics in Determining Tumor-to-Normal Brain SUV Ratio Based on

G V Danilov, D B Kalayeva, N B Vikhrova, T A Konakova, A I Zagorodnova, A A Popova, A A Postnov, S V Shugay, I N Pronin

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In one paragraph

Article in Sovremennye tekhnologii v meditsine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 6 institutions in 2 countries.

G V DanilovScientific Board Secretary, Head of the Laboratory of Biomedical Informatics and Artificial Intelligence; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
D B KalayevaMedical Physicist; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia; PhD Student; National Research Nuclear University MEPhI, 31 Kashirskoe Shosse, Moscow, 115409, Russia.
N B VikhrovaRadiologist; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
T A KonakovaPhD Student; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
A I ZagorodnovaStudent; Pirogov Russian National Research Medical University, 1 Ostrovitianova St., Moscow, 117997, Russia.
A A PopovaStudent; Pirogov Russian National Research Medical University, 1 Ostrovitianova St., Moscow, 117997, Russia.
A A PostnovResearcher; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia; Associate Professor; National Research Nuclear University MEPhI, 31 Kashirskoe Shosse, Moscow, 115409, Russia; Researcher; Lebedev Physical Institute of the Russian Academy of Sciences, 53 Leninskiy Prospect, Moscow, 119991, Russia; Head of the Project; Research Institute of Technical Physics and Automation, 46 Varshavskoye Shosse, Moscow, 115230, Russia.
S V ShugayProfessor, Academician of the Russian Academy of Sciences, Deputy Director for Research, Head of the Unit for X-ray and Radioisotopic Methods of Diagnosis; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
I N ProninPathologist; N.N. Burdenko National Medical Research Center for Neurosurgery, Ministry of Health of the Russian Federation, 16, 4 Tverskaya-Yamskaya St., Moscow, 125047, Russia.
National Research Nuclear University MEPhI · RUNational Medical Research Center of Cardiology · RUBurdenko Neurosurgery Institute · RUMinistry of Health of the Russian Federation · RUPirogov Russian National Research Medical University · RUP.N. Lebedev Physical Institute of the Russian Academy of Sciences · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2020-809 (INTERNAL NUMBER 13.1902.21.0030).
6 · The paper itself

Abstract

Modern methodology of PET/CT quantitative analysis in patients with glioblastomas is not strictly standardized in clinic settings and does not exclude the influence of the human factor. Methods of radiomics may facilitate unification, and improve objectivity and efficiency of the medical image analysis. Materials and Methods: PET/CT data (2018-2020) from 40 patients (average age was 55±12 years; 77.5% were males) with a histologically confirmed diagnosis of "glioblastoma" were included in the analysis. TNR was calculated as a ratio of the standardized uptake value of Results: Of 412 PET/CT radiomic parameters significantly correlated with TNR (p<0.05), the regularization procedure left no more than 30 in each model (the median number of predictors was 9 [7; 13]). The experiment has demonstrated a non-random linear correlation (the Spearman correlation coefficient was 0.58 [0.43; 0.74]) between TNR and separate radiomic features, primarily fractal dimensions, characterizing the geometrical properties of the image. Conclusion: Radiomics enabled an objective determination of PET/CT image texture features reflecting the biological activity of glioblastomas. Despite the existing limitations in the application, the first results provide a good perspective of these methods in neurooncology.

Indexed as

GlioblastomaMethionineAdultAgedBrainFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyRacemethionineMethionineRacemethionine11C-methionine PET/CTartificial intelligenceglioblastomamachine learningradiomicsTNR

Identifiers

PMID37388754
PMCPMC10306961
OpenAlexW4322627798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.