Evidence map›Paper›PMID 41291518›Full record

ArticleBMC cancer2025

A large scale multi-dataset investigation of brain metastases distribution based on primary cancer type.

Qing Lyu, Hongyu Yuan, Zhen Lin, Richard Barcus, Jeremy Hudson, Yuming Jiang, Jeongchul Kim, Christopher T Whitlow

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Review
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

8 authors.

Qing LyuRadiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA. qing.lyu@wfusm.edu.ORCID http://orcid.org/0000-0002-9824-0170
Hongyu YuanRadiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Zhen LinBiomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Richard BarcusRadiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Jeremy HudsonRadiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Yuming JiangBiomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Jeongchul KimRadiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Christopher T WhitlowRadiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA. christopher.whitlow@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastases (BM) present a significant clinical challenge, characterized by poor prognosis and high morbidity. Previous research has demonstrated heterogeneous distribution patterns of BMs depending on the primary tumor type. This study aims to investigate the spatial distribution patterns of BMs across different datasets and explore the heterogeneity of these patterns. Utilizing three public datasets and one private dataset, we analyzed 1344 patients with a total of 9431 identified BMs, categorizing them into lung, breast, melanoma, kidney cancer, and other groups. The frequency distribution map of each type of BMs is drawn. We found that lung cancer BMs predominantly localize in the cerebellum, as well as the frontal, temporal, occipital, and parietal lobes. Breast cancer BMs are commonly found in the cerebellum, frontal, occipital, and temporal lobes, while melanoma BMs are most frequently located in the occipital, temporal, and frontal lobes. Kidney cancer BMs, less studied in existing literature, primarily affect the frontal and temporal lobes. Additionally, we found that there are strong statistical differences between the volume distribution and BM types, with lung and breast cancer BMs are more likely to have smaller tumor volumes compared to melanoma and kidney cancer BMs. Our findings confirm and expand upon previous research, offering new insights into the distribution and characteristics of kidney cancer BMs.

Indexed as

Brain NeoplasmsAgedBreast NeoplasmsFemaleHumansKidney NeoplasmsLung NeoplasmsMaleMelanomaMiddle AgedBrain metastasesMagnetic resonance imagingTumor segmentationTumor spatial distribution

Identifiers

PMID41291518
PMCPMC12648834

What OpenQuestion holds

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Registered trials

None linked

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.