Evidence map›Paper›PMID 35444944›Full record

ArticleFrontiers in oncology2022

Breakouts-A Radiological Sign of Poor Prognosis in Patients With Brain Metastases.

Raquel Blazquez, Martin Andreas Proescholdt, Marlene Klauser, Karl-Michael Schebesch, Christian Doenitz, Daniel Heudobler, Lena Stange, Markus J Riemenschneider, Elisabeth Bumes, Katharina Rosengarth and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

15 authors.

Raquel BlazquezDepartment of Internal Medicine III, Hematology and Medical Oncology, University Hospital Regensburg, Regensburg, Germany.
Martin Andreas ProescholdtDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Marlene KlauserInstitute of Radiology, University Hospital Regensburg, Regensburg, Germany.
Karl-Michael SchebeschDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Christian DoenitzDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Daniel HeudoblerDepartment of Internal Medicine III, Hematology and Medical Oncology, University Hospital Regensburg, Regensburg, Germany.
Lena StangeDepartment of Neuropathology, University Hospital Regensburg, Regensburg, Germany.
Markus J RiemenschneiderDepartment of Neuropathology, University Hospital Regensburg, Regensburg, Germany.
Elisabeth BumesDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany.
Katharina RosengarthDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Andreas SchichoInstitute of Radiology, University Hospital Regensburg, Regensburg, Germany.
Nils-Ole SchmidtDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Alexander BrawanskiDepartment of Neurosurgery, University Hospital Regensburg, Regensburg, Germany.
Tobias PukropDepartment of Internal Medicine III, Hematology and Medical Oncology, University Hospital Regensburg, Regensburg, Germany.
Christina WendlInstitute of Radiology, University Hospital Regensburg, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Brain metastases (BM) can present a displacing or infiltrating growth pattern, independent of the primary tumor type. Previous studies have shown that tumor cell infiltration at the macro-metastasis/brain parenchyma interface (MMPI) is correlated with poor outcome. Therefore, a pre-therapeutic, non-invasive detection tool for potential metastatic cell infiltration at the MMPI would be desirable to help identify patients who may benefit from a more aggressive local treatment strategy. The aim of this study was to identify specific magnetic resonance imaging (MRI) patterns at the MMPI in patients with BM and to correlate these patterns with patient outcome. Patients and Methods: In this retrospective analysis of a prospective BM registry, we categorized preoperative MR images of 261 patients with BM according to a prespecified analysis system, which consisted of four MRI contrast enhancement (CE) patterns: two with apparently regularly shaped borders (termed "rim-enhancing" and "spherical") and two with irregular delineation (termed "breakout" and "diffuse"). The primary outcome parameter was overall survival (OS). Additionally analyzed prognostic parameters were the Karnofsky Performance Index, tumor size, edema formation, extent of resection, and RPA class. Results: OS of patients with a breakout pattern was significantly worse than OS of all other groups. Conclusion: Our data show that BM with a breakout pattern have a highly aggressive clinical course. Patients with such a pattern potentially require a more aggressive local and systemic treatment strategy.

Indexed as

brain metastasisinfiltrationMRIrim enhancingspherical

Identifiers

PMID35444944
PMCPMC9015662

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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.