Evidence map›Paper›PMID 42046770›Full record

ArticleNeuro-oncology advances

Utility of dynamic

Kevin Jang, Patrick Horsley, Dale Bailey, Edward Hsiao, Geoffrey Schembri, James Drummond, Elizabeth Bailey, Michael Rodriguez, Helen Wheeler, Michael Back

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kevin JangDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, New South Wales, Australia.ORCID https://orcid.org/0000-0001-7326-7214
Patrick HorsleyDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
Dale BaileyDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
Edward HsiaoDepartment of Nuclear Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
Geoffrey SchembriDepartment of Nuclear Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
James DrummondDepartment of Radiology, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
Elizabeth BaileyDepartment of Nuclear Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
Michael RodriguezDepartment of Pathology, Prince of Wales Hospital, Sydney, New South Wales, Australia.
Helen WheelerDepartment of Medical Oncology, Royal North Shore Hospital, St Leonards, New South Wales, Australia.
Michael BackDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2363-8333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Distinguishing early recurrence from pseudoprogression after chemoradiotherapy remains a major challenge in glioblastoma. Although Methods: Sixty-six patients with glioblastoma underwent FET-PET within 6 months of radiotherapy. Final diagnosis was determined by histopathology (n = 15) or predefined clinical endpoints (n = 51). Static metrics (SUV Results: Thirty-five patients (53%) had recurrence and 31 (47%) pseudoprogression. TAC morphology demonstrated the highest diagnostic accuracy (AUC 0.76; sensitivity 68.8%; specificity 94.7%; PPV 93.6%; NPV 72.9%), outperforming SUV Conclusions: Dynamic FET-PET improves diagnostic specificity and provides prognostic insight beyond static uptake metrics. TAC patterns offer a structured framework for improving diagnostic certainty and guiding therapeutic decisions.

Indexed as

dynamic imagingFET PETglioblastomapseudoprogressiontumor recurrence

Identifiers

PMID42046770
PMCPMC13110869

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Registered trials

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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.