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ArticleNeuroradiology2026

Paediatric thalamic tumours: a predictive MR phenotype.

Pritika Gaur, Francisco Sepulveda, Enrico De Vita, Annemarie Knill, Jessica Cooper, Asthik Biswas, Felice D'Arco, Sniya Sudhakar, Patricia Varga, Ulrike Löbel and 1 more

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Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Pritika GaurGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom. pritika.gaur@gosh.nhs.uk.
Francisco SepulvedaDepartamento de Imagenología, Clínica Alemana de Santiago, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.ORCID https://orcid.org/0000-0003-1898-2869
Enrico De VitaGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-8068-1288
Annemarie KnillGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Jessica CooperGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Asthik BiswasGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Felice D'ArcoGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Sniya SudhakarGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Patricia VargaGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Ulrike LöbelGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-9844-3464
Kshitij MankadGreat Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo utilise MR phenotyping in accurately predicting paediatric thalamic tumour type via qualitative MR analysis and quantitative diffusion histogram analysis, with the aim of optimising pre-surgical planning and patient outcomes.

methodsPatients with tumours epicentred in the thalamus were identified through an electronic patient record search (2000 to 2024). Radiological features evaluated included tumour margins, homogeneity, cystic components, T1 and T2 signal, contrast enhancement, and haemorrhage. Histopathological tumour type, WHO grade, and molecular subtype were recorded. Tumour masks incorporating both solid and cystic components were manually drawn on T2-weighted b0 images and ADC histograms were constructed and analysed.

results34 patients (12 male, 22 female) were included, with a mean age of 10.4 years (range 2.4 months to 16 years). Diffuse midline gliomas (DMG) accounted for 24% and pilocytic astrocytomas (PA) for 28% of the cohort. Further tumour types included low-grade astrocytomas (9%), DNETs, PXAs, and embryonal tumours (8.8% each), with germinoma, glioblastoma, supratentorial ependymoma, ganglioglioma, lymphoma, and ATRT each comprising 3%. ADC p10 was significantly lower in DMG than PA (877 ± 152 vs. 1053 ± 152 × 10⁻⁶ mm²/s; t = 2.25, df = 13, p = 0.042, Cohen's d = 1.16). ADC mean showed a large but non-significant difference (p = 0.068). PAs were well-defined and microcystic with brush-like enhancement. DMGs were ill-defined with patchy enhancement, lower ADC values, and frequent susceptibility artefact.

conclusionDistinctive qualitative and quantitative MR features, particularly ADC p10, can guide the neuroradiologist in predicting tumour type and informing the decision between safe maximal resection and biopsy-first surgical pathways.

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ADC histogramsPaediatricThalamusTumours

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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.