Evidence map›Paper›PMID 40757113›Full record

ArticleJournal of medicine and life2025

Magnetic resonance imaging characteristics of small cell and non-small cell lung cancer brain metastases: a retrospective study.

Daniela Pomohaci, Emilia Adriana Marciuc, Bogdan-Ionuț Dobrovăț, Mihaela-Roxana Popescu, Diana-Andreea Ilinca, Costin Chirica, Oriana-Maria Oniciuc Onicescu, Danisia Haba

Abstract read
In one paragraph

Article in Journal of medicine and life, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Daniela PomohaciGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.
Emilia Adriana MarciucGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.
Bogdan-Ionuț DobrovățGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.
Mihaela-Roxana PopescuGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.
Diana-Andreea IlincaGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.
Costin ChiricaGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.
Oriana-Maria Oniciuc OnicescuDoctoral School, Faculty of Computer Science, Alexandru Ioan Cuza University, Iași, Romania.
Danisia HabaGeneral and Dental Radiology, Faculty of Medicine, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastases (BMs) from bronchopulmonary tumors are a major cause of morbidity and mortality and significantly reduce the quality of life in oncology patients. Their treatment depends on imaging features (size, number, location) and their genetic mutation subtype, small-cell lung cancer (SCLC) or non-small cell lung cancer (NSCLC). In patients with SCLC, prophylactic whole-brain radiotherapy (WBRT) with hippocampal sparing (HS) is recommended, whereas in patients with NSCLC, systemic targeted therapy is preferred. Multiple studies have analyzed the MRI morphology of BMs from both SCLC and NSCLC to identify specific imaging characteristics that can guide the selection of appropriate treatment. However, data on lung cancer (LC) brain metastases in patients from Romania are scarce or nonexistent. Our purpose was to investigate the imaging features of both NSCLC and SCLC BMs in our population using conventional MRI protocols. We selected patients from our hospital between 2019 and 2023 who had a histopathological diagnosis of LC BMs and underwent complete MRI exams prior to any radiotherapy or surgical treatment. For every MRI feature, we created both numerical and categorical variables, which were further studied using univariate, bivariate, and multivariate analyses, as well as a machine learning algorithm. We found 62 patients (49 men, 79.03% and 13 women, 20.96%) with confirmed LC BMs, of which 53 (85.49%) had NSCLC and 7 (11.29%) had SCLC. The sites affected were the cerebral hemisphere (56.46%), the cerebellum (40.32%), and the deep nuclei (6.45%), with the latter affecting relatively younger patients (

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungLung NeoplasmsMagnetic Resonance ImagingSmall Cell Lung CarcinomaAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesADC, Apparent Diffusion CoefficientASC, Adenosquamous CarcinomaBMs, Brain Metastasesbrain metastases imagingCE T1-W, Contrast-Enhanced T1-WeightedCSF, Cerebrospinal FluidDWI, Diffusion-Weighted ImagingFLAIR, Fluid-Attenuated Inversion RecoveryFSPGR, Fast Spoiled Gradient-Recalled EchoHS, Hippocampal SparingLC, Lung Cancerlung cancermachine learningmagnetic resonance imagingMRI, Magnetic Resonance ImagingNSCLCNSCLC, Non-Small Cell Lung CancerSCLCSCLC, Small Cell Lung CancerSRT, Stereotactic RadiotherapySWAN, Susceptibility-Weighted AngiographySWI, Susceptibility-Weighted ImagingT1-W, T1-WeightedT2-W, T2-WeightedWBRT, Whole-Brain Radiotherapy

Identifiers

PMID40757113
PMCPMC12314843

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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.