Evidence map›Paper›PMID 39495426›Full record

ArticleActa neurochirurgica2024

Limitations of outcome prediction based on interfractional volume changes of large (≥ 10cm

Won-Jae Lee, Kyuha Chong, Jung-Won Choi, Doo-Sik Kong, Ho Jun Seol, Do-Hyun Nam, Jung-Il Lee

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Article in Acta neurochirurgica, 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

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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. Gamma knife radiosurgery in pediatric neuro-oncology: histology-specific outcomes and age-adapted procedural strategies.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
4 · The record

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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

7 authors.

Won-Jae LeeDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Kyuha ChongDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Jung-Won ChoiDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Doo-Sik KongDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Ho Jun SeolDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Do-Hyun NamDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Jung-Il LeeDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea. jilee@skku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigated the interfractional volume changes of large (≥ 10 cm

methodsThe patients who underwent FGKRS for large BMs between January 2017 and December 2022 in our center were reviewed. The interfractional volume change was defined as the disparity in tumor volume (TV) measured between the magnetic resonance images acquired on the first treatment day and those obtained after 2 or 3 fractions during the course of FGKRS.

resultsA total of 73 lesions in 70 patients with various primary pathologies were included. Over a median follow-up period of 11 months (range 1-77), the tumor control rate was 63%. Initial TV (cm

conclusionInterfractional volume changes of large BMs were not found to be associated with tumor control outcomes. Neither significant interfractional volume reduction nor significant volume increase necessarily predicts the tumor control, making early close monitoring essential after FGKRS.

Indexed as

Brain NeoplasmsRadiosurgeryTumor BurdenAdultAgedAged, 80 and overDose Fractionation, RadiationFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProgression-Free SurvivalRetrospective StudiesTreatment OutcomeBrain metastasisFractionated stereotactic radiosurgeryGamma knife radiosurgeryInterfractional volume change

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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.