Evidence map›Paper›PMID 39170121›Full record

ArticleHeliyon2024

Specific spectral sub-images for machine learning evaluation of optical differences between carbon ion and X ray radiation effects.

Raluca D Negoita, Mihaela A Ilisanu, Ionela N Irimescu, Roxana C Popescu, Mihaela Tudor, Mona Mihailescu, Eugen N Scarlat, Ana M Pleava, Anca Dinischiotu, Diana Savu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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. Article
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.

Raluca D NegoitaApplied Sciences Doctoral School, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.
Mihaela A IlisanuDoctoral School of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.
Ionela N IrimescuApplied Sciences Doctoral School, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.
Roxana C PopescuDepartment of Life and Environmental Physics, Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering, Reactorului 30, P.O. Box MG-6, 077125 Magurele, Romania.
Mihaela TudorDepartment of Life and Environmental Physics, Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering, Reactorului 30, P.O. Box MG-6, 077125 Magurele, Romania.
Mona MihailescuHolographic Imaging and Processing Laboratory, Physics Department, Faculty of Applied Sciences, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.
Eugen N ScarlatHolographic Imaging and Processing Laboratory, Physics Department, Faculty of Applied Sciences, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.
Ana M PleavaCAMPUS Research Centre, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.
Anca DinischiotuFaculty of Biology, University of Bucharest, 91-95 Splaiul Independentei, 050095 Bucharest, Romania.
Diana SavuDepartment of Life and Environmental Physics, Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering, Reactorului 30, P.O. Box MG-6, 077125 Magurele, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in radiotherapy, particularly the exploration of alternative radiation types such as carbon ions have updated our understanding of its effects and applicability on chondrosarcoma cells. Here we compare the optical effects produced by carbon ions (CI) and X-rays (XR) radiations on chondrosarcoma cells nuclei and set an automated method for evaluating the radiation-induced alterations without the need of chemical marking. Hyperspectral images (HSI) of SW1353 chondrosarcoma line carry detectable optical changes of the cells irradiated either with CI or XR compared to non-irradiated ones (REF). The differences between the spectral profiles of CI, XR and REF nuclei classes led to partitioning the HSIs into spectral sub-images. The changes are detected by support vector machine (SVM) classifiers whose performances are evaluated by the most used point metrics: sensitivity (

Indexed as

Hyperspectral imagingIonizing radiationsLinear support vector classifierMachine learningSupport vector machineSW1353 chondrosarcoma cellsTexture and roughness features

Identifiers

PMID39170121
PMCPMC11336423

What OpenQuestion holds

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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.