Retrospective study of late radiation-induced damages after focal radiotherapy for childhood brain tumors.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 19 02 2020
accepted: 15 02 2021
entrez: 26 2 2021
pubmed: 27 2 2021
medline: 28 8 2021
Statut: epublish

Résumé

To study a robust and reproducible procedure to investigate a relation between focal brain radiotherapy (RT) low doses, neurocognitive impairment and late White Matter and Gray Matter alterations, as shown by Diffusion Tensor Imaging (DTI), in children. Forty-five patients (23 males and 22 females, median age at RT 6.2 years, median age at evaluations 11.1 years) who had received focal RT for brain tumors were recruited for DTI exams and neurocognitive tests. Patients' brains were parceled in 116 regions of interest (ROIs) using an available segmented atlas. After the development of an ad hoc, home-made, multimodal and highly deformable registration framework, we collected mean RT doses and DTI metrics values for each ROI. The pattern of association between cognitive scores or domains and dose or DTI values was assessed in each ROI through both considering and excluding ROIs with mean doses higher than 75% of the prescription. Subsequently, a preliminary threshold value of dose discriminating patients with and without neurocognitive impairment was selected for the most relevant associations. The workflow allowed us to identify 10 ROIs where RT dose and DTI metrics were significantly associated with cognitive tests results (p<0.05). In 5/10 ROIs, RT dose and cognitive tests were associated with p<0.01 and preliminary RT threshold dose values, implying a possible cognitive or neuropsychological damage, were calculated. The analysis of domains showed that the most involved one was the "school-related activities". This analysis, despite being conducted on a retrospective cohort of children, shows that the identification of critical brain structures and respective radiation dose thresholds is achievable by combining, with appropriate methodological tools, the large amount of data arising from different sources. This supported the design of a prospective study to gain stronger evidence.

Identifiants

pubmed: 33635906
doi: 10.1371/journal.pone.0247748
pii: PONE-D-20-04740
pmc: PMC7909688
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0247748

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Claudia Cavatorta (C)

Medical Physics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Silvia Meroni (S)

Medical Physics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Eros Montin (E)

Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy.

Maria C Oprandi (MC)

Neuro-oncological and Neuropsychological Rehabilitation Unit, Scientific Institute IRCCS E. Medea, Bosisio Parini, Lecco, Italy.

Emilia Pecori (E)

Pediatric Radiotherapy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Mara Lecchi (M)

Bioinformatics and Biostatistics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Barbara Diletto (B)

Pediatric Radiotherapy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Ombretta Alessandro (O)

Pediatric Radiotherapy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Denis Peruzzo (D)

Neuroimaging Lab, Scientific Institute IRCCS E. Medea, Bosisio Parini, Lecco, Italy.

Veronica Biassoni (V)

Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Elisabetta Schiavello (E)

Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Marco Bologna (M)

Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy.

Maura Massimino (M)

Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Geraldina Poggi (G)

Neuro-oncological and Neuropsychological Rehabilitation Unit, Scientific Institute IRCCS E. Medea, Bosisio Parini, Lecco, Italy.

Luca Mainardi (L)

Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy.

Filippo Arrigoni (F)

Neuroimaging Lab, Scientific Institute IRCCS E. Medea, Bosisio Parini, Lecco, Italy.

Filippo Spreafico (F)

Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Paolo Verderio (P)

Bioinformatics and Biostatistics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Emanuele Pignoli (E)

Medical Physics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Lorenza Gandola (L)

Pediatric Radiotherapy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

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Classifications MeSH