Literature DB >> 30835021

Propensity for different vascular distributions and cerebral edema of intraparenchymal brain metastases from different primary cancers.

David Mampre1, Jeff Ehresman2, Keila Alvarado-Estrada1, Olindi Wijesekera1, Rachel Sarabia-Estrada1, Alfredo Quinones-Hinojosa1, Kaisorn L Chaichana3.   

Abstract

PURPOSE: This study seeks to ascertain whether different primary tumor types have a propensity for brain metastases (BMs) in different cerebral vascular territories and cerebral edema.
METHODS: Consecutive adult patients who underwent surgical resection of a BM at a tertiary care institution between 2001 and 2011 were retrospectively reviewed. Only patients with the most common primary cancers (lung, breast, skin-melanoma, colon, and kidney) were included. Preoperative MRIs were reviewed to classify all tumors by cerebral vascular territory (anterior cerebral artery-ACA, lenticulostriate, middle cerebral artery-MCA, posterior cerebral artery-PCA, posterior fossa, and watershed), and T2-weighted FLAIR widths were measured. Chi square analyses were performed to determine differences in cerebral vascular distribution by primary tumor type, and one-way ANOVA analyses were performed to determine FLAIR signal differences.
RESULTS: 669 tumors from 388 patients were classified from lung (n = 316 BMs), breast (n = 144), melanoma (n = 119), renal (n = 47), and colon (n = 43). BMs from breast cancer were less likely to be located in PCA territory (n = 18 [13%]; χ2 = 6.10, p = 0.01). BMs from melanoma were less likely to be located in cerebellar territory (n = 11 [9%]; χ2 = 14.1, p < 0.001), and more likely to be located in lateral (n = 5 [4%]; χ2 = 4.56, p = 0.03) and medial lenticulostriate territories (n = 2 [2%]; χ2 = 6.93, p = 0.009). BMs from breast and melanoma had shorter T2-FLAIR widths, with an average [IQR] of 47.2 [19.6-69.2] mm (p = 0.01) and 41.2 [14.4-62.7] mm (p = 0.002) respectively. Conversely, BMs from renal cancer had longer T2-FLAIR widths (64.2 [43.6-80.8] mm, p = 0.002).
CONCLUSIONS: These findings suggest that different primary tumor types could have propensities for different cerebral vascular territories and cerebral edema.

Entities:  

Keywords:  Breast; Lung; Melanoma; Metastatic brain tumors; Renal; Vascular distribution

Mesh:

Year:  2019        PMID: 30835021     DOI: 10.1007/s11060-019-03142-x

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  6 in total

1.  The Infratentorial Localization of Brain Metastases May Correlate with Specific Clinical Characteristics and Portend Worse Outcomes Based on Voxel-Wise Mapping.

Authors:  Zhangqi Dou; Jiawei Wu; Hemmings Wu; Qian Yu; Feng Yan; Biao Jiang; Baizhou Li; Jinghong Xu; Qi Xie; Chenguang Li; Chongran Sun; Gao Chen
Journal:  Cancers (Basel)       Date:  2021-01-17       Impact factor: 6.639

Review 2.  Anatomical and topographical variations in the distribution of brain metastases based on primary cancer origin and molecular subtypes: a systematic review.

Authors:  Tyler Cardinal; Dhiraj Pangal; Ben A Strickland; Paul Newton; Saeedeh Mahmoodifar; Jeremy Mason; David Craig; Thomas Simon; Ben Yi Tew; Min Yu; Wensha Yang; Eric Chang; Ryan P Cabeen; Jacob Ruzevick; Arthur W Toga; Josh Neman; Bodour Salhia; Gabriel Zada
Journal:  Neurooncol Adv       Date:  2021-11-18

3.  Differentiation Between Glioblastoma Multiforme and Metastasis From the Lungs and Other Sites Using Combined Clinical/Routine MRI Radiomics.

Authors:  Yuqi Han; Lingling Zhang; Shuzi Niu; Shuguang Chen; Bo Yang; Hongyan Chen; Fei Zheng; Yuying Zang; Hongbo Zhang; Yu Xin; Xuzhu Chen
Journal:  Front Cell Dev Biol       Date:  2021-08-26

Review 4.  Supportive roles of brain macrophages in CNS metastases and assessment of new approaches targeting their functions.

Authors:  Hua You; Szymon Baluszek; Bozena Kaminska
Journal:  Theranostics       Date:  2020-02-10       Impact factor: 11.556

Review 5.  The management of elderly patients with brain metastases from breast cancer.

Authors:  Henry Ruiz-Garcia; Lina Marenco-Hillembrand; Jennifer L Peterson; Katherine Tzou; Timothy D Malouff; Kaisorn L Chaichana; Daniel M Trifiletti; Laura Vallow
Journal:  Transl Cancer Res       Date:  2020-01       Impact factor: 1.241

6.  Use of predictive spatial modeling to reveal that primary cancers have distinct central nervous system topography patterns of brain metastasis.

Authors:  Josh Neman; Meredith Franklin; Zachary Madaj; Krutika Deshpande; Timothy J Triche; Gal Sadlik; John D Carmichael; Eric Chang; Cheng Yu; Ben A Strickland; Gabriel Zada
Journal:  J Neurosurg       Date:  2021-07-16       Impact factor: 5.408

  6 in total

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