Evidence map›Paper›PMID 33294645›Full record

ArticleClinical and translational radiation oncology2021

Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy.

Steven H J Nagtegaal, Szabolcs David, Marielle E P Philippens, Tom J Snijders, Alexander Leemans, Joost J C Verhoeff

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Volumetric brain assessment of long-term head and neck cancer survivors.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2024
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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

6 authors.

Steven H J NagtegaalDepartment of Radiation Oncology, University Medical Center Utrecht, HP Q 00.3.11, PO Box 85500, 3508 GA Utrecht, the Netherlands.
Szabolcs DavidDepartment of Radiation Oncology, University Medical Center Utrecht, HP Q 00.3.11, PO Box 85500, 3508 GA Utrecht, the Netherlands.
Marielle E P PhilippensDepartment of Radiation Oncology, University Medical Center Utrecht, HP Q 00.3.11, PO Box 85500, 3508 GA Utrecht, the Netherlands.
Tom J SnijdersUMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, HP L 01.310, PO Box 85500, 3508 GA Utrecht, the Netherlands.
Alexander LeemansImage Sciences Institute, University Medical Center Utrecht, HP Q 00.3.11, PO Box 85500, 3508 GA Utrecht, the Netherlands.
Joost J C VerhoeffDepartment of Radiation Oncology, University Medical Center Utrecht, HP Q 00.3.11, PO Box 85500, 3508 GA Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe relation between radiotherapy (RT) dose to the brain and morphological changes in healthy tissue has seen recent increased interest. There already is evidence for changes in the cerebral cortex and white matter, as well as selected subcortical grey matter (GM) structures. We studied this relation in all deep GM structures, to help understand the aetiology of post-RT neurocognitive symptoms. MATERIALS AND

methodsWe selected 31 patients treated with RT for grade II-IV glioma. Pre-RT and 1 year post-RT 3D T1-weighted MRIs were automatically segmented, and the changes in volume of the following structures were assessed: amygdala, nucleus accumbens, caudate nucleus, hippocampus, globus pallidus, putamen, and thalamus. The volumetric changes were related to the mean RT dose received by each structure. Hippocampal volumes were entered into a population-based nomogram to estimate hippocampal age.

resultsA significant relation between RT dose and volume loss was seen in all examined structures, except the caudate nucleus. The volume loss rates ranged from 0.16 to 1.37%/Gy, corresponding to 4.9-41.2% per 30 Gy. Hippocampal age, as derived from the nomogram, was seen to increase by a median of 11 years.

conclusionAlmost all subcortical GM structures are susceptible to radiation-induced volume loss, with higher volume loss being observed with increasing dose. Volume loss of these structures is associated with neurological deterioration, including cognitive decline, in neurodegenerative diseases. To support a causal relationship between radiation-induced deep GM loss and neurocognitive functioning in glioma patients, future studies are needed that directly correlate volumetrics to clinical outcomes.

Indexed as

AmygdalaBrain neoplasmsCAT12, computational anatomy toolbox 12Caudate nucleusCT, computed tomographyFWER, family-wise error rateGlobus pallidusGM, grey matterGray matterHippocampusMRI, magnetic resonance imagingNucleus accumbensPALM, permutation analysis of linear modelsPTV, planning target volumePutamenRadiotherapyRT, radiotherapySPM, statistical parametric mappingTFE, turbo fast echoThalamusWBRT, whole-brain radiotherapy

Identifiers

PMID33294645
PMCPMC7691672

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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.