Skip to content
2000
Volume 21, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603

Abstract

Purpose

The pool sign, an emerging MRI biomarker for differentiating brain metastases (BM) from primary neoplasms, is primarily documented in case reports. Systematic data on its prevalence and determinants in BM among patients with lung cancer are lacking. This study aims to evaluate the occurrence of the pool sign and identify factors associated with its presence.

Materials and Methods

Between January 2017 and August 2024, data from 6,004 lung cancer patients were retrospectively extracted from the electronic health records system. The clinical and demographic characteristics, along with BM MRI features, were compared between the pool sign and non-pool sign groups using univariate and multivariate analyses.

Results

A total of 427 patients (81 women; mean age, 62.17 years) were enrolled in the study. The pool sign was observed in 29 patients (6.8%). The inter-reader reliability for the pool sign ranged from moderate to substantial (κ=0.61–0.80), while the intra-reader reliability was moderate (κ=0.6). In the univariate analysis, a statistically significant difference was observed in the volume size of metastases between the pool sign group and the non-pool sign group (median 4.8 . 0.5, < 0.0001). This finding suggests that the presence of the pool sign is more likely associated with BMs exhibiting relatively larger tumor volumes. Additionally, the prevalence of solid-cystic masses was significantly higher in the pool sign group compared to the non-pool sign group, with rates of 79.3% and 44.5%, respectively ( = 0.0014). However, there were no statistically significant differences in other examined variables. In the multivariate analysis, the findings demonstrated that an increase in tumor volume (OR = 1.050, 95% CI 1.025-1.076, < 0.001) and the presence of a solid-cystic mass (OR = 3.666, 95% CI 1.159-11.595, = 0.027) were significantly correlated with a higher probability of pool sign occurrence.

Conclusion

The pool sign occurs in 6.8% of BM in patients with lung cancer and is independently associated with larger lesion volume and solid-cystic morphology. Its diagnostic utility warrants further validation.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
Loading

Article metrics loading...

/content/journals/cmir/10.2174/0115734056401497250904223250
2025-10-02
2025-11-08
Loading full text...

Full text loading...

/deliver/fulltext/cmir/21/1/CMIR-21-E15734056401497.html?itemId=/content/journals/cmir/10.2174/0115734056401497250904223250&mimeType=html&fmt=ahah

References

  1. SperdutoP.W. YangT.J. BealK. PanH. BrownP.D. BangdiwalaA. ShanleyR. YehN. GasparL.E. BraunsteinS. SneedP. BoyleJ. KirkpatrickJ.P. MakK.S. ShihH.A. EngelmanA. RobergeD. ArvoldN.D. AlexanderB. AwadM.M. ContessaJ. ChiangV. HardieJ. MaD. LouE. SperdutoW. MehtaM.P. Estimating survival in patients with lung cancer and brain metastases.JAMA Oncol.20173682783110.1001/jamaoncol.2016.383427892978
    [Google Scholar]
  2. SuhJ.H. KotechaR. ChaoS.T. AhluwaliaM.S. SahgalA. ChangE.L. Current approaches to the management of brain metastases.Nat. Rev. Clin. Oncol.202017527929910.1038/s41571‑019‑0320‑332080373
    [Google Scholar]
  3. Brain metastases.Nat. Rev. Dis. Primers201951610.1038/s41572‑019‑0061‑830655539
    [Google Scholar]
  4. ChengH. Perez-SolerR. Leptomeningeal metastases in non-small-cell lung cancer.Lancet Oncol.2018191e43e5510.1016/S1470‑2045(17)30689‑729304362
    [Google Scholar]
  5. BhattA.A. LinE.P. AlmastJ. The “pool sign” of metastatic adenocarcinoma.Neuroradiology201860998398510.1007/s00234‑018‑2069‑230069615
    [Google Scholar]
  6. DivyaK.P. CherianA. PrabhakaranP. JoseJ. NarayananP. ThomasB. “Pool sign” in cerebral metastatic adenocarcinoma.Ann. Indian Acad. Neurol.202023455155210.4103/aian.AIAN_332_1933223679
    [Google Scholar]
  7. ZhangY. ZhangH. ZhangH. OuyangY. SuR. YangW. HuangB. Glioblastoma and solitary brain metastasis: Differentiation by integrating demographic‐ MRI and Deep‐Learning radiomics signatures.J. Magn. Reson. Imaging202460390992010.1002/jmri.2912337955154
    [Google Scholar]
  8. KandasamyS SamuelJ RajaB PadhiR SadasivamS The pool sign in metastatic adenocarcinoma of brain.Can J Neurol Sci2021484553554
    [Google Scholar]
  9. LiQ. ZhangG. XiongX. WangX.C. YangW.S. LiK.W. WeiX. XieP. Black hole sign: Novel imaging marker that predicts hematoma growth in patients with intracerebral hemorrhage.Stroke20164771777178110.1161/STROKEAHA.116.01318627174523
    [Google Scholar]
  10. KothariR.U. BrottT. BroderickJ.P. BarsanW.G. SauerbeckL.R. ZuccarelloM. KhouryJ. The ABCs of measuring intracerebral hemorrhage volumes.Stroke19962781304130510.1161/01.STR.27.8.13048711791
    [Google Scholar]
  11. LandisJ.R. KochG.G. The measurement of observer agreement for categorical data.Biometrics197733115917410.2307/2529310843571
    [Google Scholar]
  12. FinkJR MuziM PeckM KrohnKA Multimodality brain tumor imaging: MR imaging, PET, and PET/MR imaging.J Nucl Med2015561015541561
    [Google Scholar]
  13. SmithM.J. GoodfellowP.N. Gene mapping and genetic diseases.Curr. Opin. Cell Biol.19891346046510.1016/0955‑0674(89)90006‑92534043
    [Google Scholar]
  14. RomanoA. BozzaoA. BonaminiM. FasoliF. FerranteM. FlorisR. ColonneseC. FantozziL.M. Diffusion-weighted MR Imaging: Clinical applications in neuroradiology.Radiol. Med.20031065-652154814735019
    [Google Scholar]
  15. NistriM. MascalchiM. MorettiM. TessaC. PolitiL.S. OrlandiI. PellicanòG. VillariN. Diffusion weighted MR: Principles and clinical use in selected brain diseases.Radiol. Med.2000100647047911307509
    [Google Scholar]
  16. ZhouH. XuR. MeiH. ZhangL. YuQ. LiuR. FanB. Application of enhanced T1WI of MRI radiomics in glioma grading.Int. J. Clin. Pract.202220221710.1155/2022/325257435685548
    [Google Scholar]
  17. LiuW. PowellC.A. WangQ. Tumor microenvironment in lung cancer-derived brain metastasis.Chin. Med. J.2022135151781179110.1097/CM9.000000000000212735838548
    [Google Scholar]
  18. KonoK. InoueY. NakayamaK. ShakudoM. MorinoM. OhataK. WakasaK. YamadaR. The role of diffusion-weighted imaging in patients with brain tumors.AJNR Am. J. Neuroradiol.20012261081108811415902
    [Google Scholar]
  19. BoireA. BrastianosP.K. GarziaL. ValienteM. Brain metastasis.Nat. Rev. Cancer202020141110.1038/s41568‑019‑0220‑y31780784
    [Google Scholar]
  20. SacksP. RahmanM. Epidemiology of Brain Metastases.Neurosurg. Clin. N. Am.202031448148810.1016/j.nec.2020.06.00132921345
    [Google Scholar]
  21. LiuW. SongJ. DuX. ZhouY. LiY. LiR. LyuL. HeY. HaoJ. BenJ. WangW. ShiH. WangQ. AKR1B10 (Aldo-keto reductase family 1 B10) promotes brain metastasis of lung cancer cells in a multi-organ microfluidic chip model.Acta Biomater.20199119520810.1016/j.actbio.2019.04.05331034948
    [Google Scholar]
  22. HanahanD. WeinbergR.A. Hallmarks of cancer: The next generation.Cell2011144564667410.1016/j.cell.2011.02.01321376230
    [Google Scholar]
  23. ChiangI.C. KuoY.T. LuC.Y. YeungK.W. LinW.C. SheuF.O. LiuG.C. Distinction between high-grade gliomas and solitary metastases using peritumoral 3-T magnetic resonance spectroscopy, diffusion, and perfusion imagings.Neuroradiology200446861962710.1007/s00234‑004‑1246‑715243726
    [Google Scholar]
  24. PoulonF. PalludJ. VarletP. ZanelloM. ChretienF. DezamisE. Abi-LahoudG. NatafF. TurakB. DevauxB. Abi HaidarD. Real-time Brain Tumor imaging with endogenous fluorophores: A diagnosis proof-of-concept study on fresh human samples.Sci. Rep.2018811488810.1038/s41598‑018‑33134‑230291269
    [Google Scholar]
  25. MeyersC.A. SmithJ.A. BezjakA. MehtaM.P. LiebmannJ. IllidgeT. KunklerI. CaudrelierJ.M. EisenbergP.D. MeerwaldtJ. SiemersR. CarrieC. GasparL.E. CurranW. PhanS.C. MillerR.A. RenschlerM.F. Neurocognitive function and progression in patients with brain metastases treated with whole-brain radiation and motexafin gadolinium: Results of a randomized phase III trial.J. Clin. Oncol.200422115716510.1200/JCO.2004.05.12814701778
    [Google Scholar]
  26. LangerC.J. MehtaM.P. Current management of brain metastases, with a focus on systemic options.J. Clin. Oncol.200523256207621910.1200/JCO.2005.03.14516135488
    [Google Scholar]
  27. KawabeT. PhiJ.H. YamamotoM. KimD.G. BarfodB.E. UrakawaY. Treatment of brain metastasis from lung cancer.Prog. Neurol. Surg.20122514815510.1159/00033118822236676
    [Google Scholar]
  28. WangH. OuQ. LiD. QinT. BaoH. HouX. WangK. WangF. DengQ. LiangJ. ZhengW. WuX. WangX. ShaoY.W. MouY. ChenL. Genes associated with increased brain metastasis risk in non–small cell lung cancer: Comprehensive genomic profiling of 61 resected brain metastases versus primary non–small cell lung cancer (Guangdong Association Study of Thoracic Oncology 1036).Cancer2019125203535354410.1002/cncr.3237231287555
    [Google Scholar]
  29. NieY. GaoW. LiN. ChenW. WangH. LiC. ZhangH. HanP. ZhangY. LvX. XuX. LiuH. Relationship between EGFR gene mutation and local metastasis of resectable lung adenocarcinoma.World J. Surg. Oncol.20171515510.1186/s12957‑017‑1103‑x28253871
    [Google Scholar]
  30. WagnerM.W. NobreL. NamdarK. KhalvatiF. TaboriU. HawkinsC. Ertl-WagnerB.B. T2-FLAIR mismatch sign in pediatric low-grade glioma.AJNR Am. J. Neuroradiol.202344784184510.3174/ajnr.A791637348970
    [Google Scholar]
  31. KangK.M. SongJ. ChoiY. ParkC. ParkJ.E. KimH.S. ParkS.H. ParkC.K. ChoiS.H. MRI scoring systems for predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion in adult-type diffuse glioma lacking contrast enhancement.Radiology2024311223312010.1148/radiol.23312038713025
    [Google Scholar]
  32. JainR. JohnsonD.R. PatelS.H. CastilloM. SmitsM. van den BentM.J. ChiA.S. CahillD.P. “Real world” use of a highly reliable imaging sign: “T2-FLAIR mismatch” for identification of IDH mutant astrocytomas.Neuro-oncol.202022793694310.1093/neuonc/noaa04132064507
    [Google Scholar]
/content/journals/cmir/10.2174/0115734056401497250904223250
Loading
/content/journals/cmir/10.2174/0115734056401497250904223250
Loading

Data & Media loading...

Supplements

Supplementary material is available on the Publisher’s website.


  • Article Type:
    Research Article
Keyword(s): Brain; Lung cancer; Magnetic resonance imaging; Metastasis; Pool sign
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test