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Brief Report

The Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients

by
Joseph P. Antonios
1,
Nana Adenu-Mensah
1,
Brianna C. Theriault
1,
Miguel Millares-Chavez
1,
Anita Huttner
2,
Mariam Aboian
3 and
Veronica L. Chiang
1,*
1
Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, CT 06519, USA
2
Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06519, USA
3
Department of Radiology, Yale School of Medicine, Yale University, New Haven, CT 06519, USA
*
Author to whom correspondence should be addressed.
Clin. Transl. Neurosci. 2025, 9(1), 10; https://doi.org/10.3390/ctn9010010
Submission received: 9 January 2025 / Revised: 10 February 2025 / Accepted: 14 February 2025 / Published: 21 February 2025
(This article belongs to the Section Neuroradiology)

Abstract

:
Radiosurgery (SRS) is a primary treatment for intracranial metastatic disease, but it can lead to cerebral radiation necrosis (RN) in approximately 25% of cases. Unlike tumor progression (TP), which indicates a lack of response to treatment, RN suggests an effective SRS response. Differentiating RN from TP is challenging using standard radiological imaging, often necessitating surgical biopsy. This study investigates the utility of the central vein sign (CVS), a novel MRI biomarker associated with immune infiltrate-rich perivascular spaces, to differentiate RN from TP. Overall, our findings suggest that pre-SRS CVS could serve as a non-invasive marker to distinguish RN from TP, aiding in treatment decisions. Further research is needed to validate CVS as a predictive marker in larger patient cohorts and explore its potential in guiding cancer therapy response.

1. Introduction

Radiosurgery (SRS) is a mainstay treatment modality today for intracranial metastatic disease [1]. Cerebral radiation necrosis (RN), a delayed side effect that can develop months to years after treatment, occurs in about 25% of cases. Unlike post-SRS tumor progression (TP), which is largely indicative of limited to no response to treatment, RN is thought to represent a subset of SRS responders. Mechanistically, it is thought to be an autoreactive immune process, albeit initiated by radiation injury to blood vessels and cerebral tissue within the targeted field [2,3,4]. Even so, while there are clear histologic differences between RN and TP lesions, they are not readily distinguishable using standard radiological imaging, thus often requiring surgical tissue biopsy [5,6]. Given the divergent treatment approaches to RN and TP, improving the reliability of radiographic diagnosis is crucial.
Recent studies have explored alternate, accessible radiographic modalities to delineate RN lesions. Current MRI sequences used to differentiate RN and TP include MR spectroscopy and MR perfusion, both of which are limited by interobserver variability and overlapping radiographic findings between RN and TP [5,6,7,8,9]. The central vein sign (CVS) is a novel MRI biomarker that has not yet been utilized in this capacity. In practice, CVS—which correlates with immune infiltrate-rich perivascular spaces—has been reported as an effective tool in delineating multiple sclerosis (MS) lesions [10,11]. In our practice, we had already anecdotally noted that a number of our RN patients had lesions with large, associated venous structures (Supplementary Figure S1). In applying our understanding of RN as an autoreactive process associated with an immune infiltrate, we hypothesized that patients with radiation necrosis would have a similar CVS seen on MRI that could potentially be predictive of this diagnosis.

2. Brief Report

We retrospectively identified 163 patients with lung, melanoma, breast, or other metastatic cancer brain metastases treated at our institution who presented between July 2018 and July 2019 with progressive lesions suggestive of RN or TP after undergoing stereotactic radiosurgery (SRS), necessitating biopsy for definitive diagnosis. Of these, 80 patients were selected who had a full complement of pre- and post-SRS, in addition to pre-biopsy, imaging. We then compiled imaging, histologic, and clinical data from each of these patients (Supplementary Figure S1A–C). TP was defined as post-biopsy histology showing any evidence of metastatic disease with or without necrosis. RN was defined as histology showing reactive changes in the absence of metastatic disease, including hyalinized blood vessels, necrotic debris, and immune infiltrate.
Susceptibility-weighted images using minimum intensity projection (mIP) were evaluated by two independent researchers to look for and identify CVS (Figure 1A–C). The findings were validated by an independent neuroradiologist. Of the 52 patients with a post-biopsy diagnosis of RN alone across all tumor subtypes, 31 (60%) were found to have a pre-biopsy CVS on MRI. There were 14 patients who were found to have predominantly radiation necrosis with few residual tumor cells on histology; of these, 12 (86%) had a pre-biopsy CVS present as well. Of the 14 patients with a post-biopsy diagnosis of TP, only 3 (21%) had CVS on MRI. We performed Fisher exact tests and multivariate logistic regression analysis to determine whether these findings were predictive and found that there was a strong correlation between the presence of CVS and a diagnosis of RN (Supplementary Figure S2A–C).
To understand the biological relevance of the CVS in the context of post-RT disease, we retrospectively identified patients whose records indicated that there was residual fixed tissue available for additional histologic staining. Of these, 9 had sufficient tissue for processing and staining steps as determined by our Pathology Department. We found that, regardless of diagnosis of RN or TP, patients with a CVS (Figure 2A,B) had a corresponding presence of perivenular immune infiltrate (Figure 2C,D). This immune infiltrate was not present in patients without CVS. Hematoxylin and Eosin-stained slides showed stigmata of radiation-induced changes, such as vascular hyalinization, necrosis, and/or the presence of a few residual tumor cells. Immunohistochemical stains highlighted individual cell types and demonstrated the presence of leukocytes (CD45) (Supplementary Figure S3A), T-lymphocytes (CD3) (Supplementary Figure S3B), and macrophages (CD68) (Supplementary Figure S3C), or in a diffuse intraparenchymal distribution pattern and occasionally as small perivascular accumulation (Supplementary Figure S3D).

3. Discussion

The use of SRS for the treatment of brain metastases is growing exponentially. As a result, there is an increasing need not only to be able to differentiate RN from TP using non-invasive methods but also to better understand the pathophysiology underlying the development of RN and TP after SRS. Given the proposed auto-reactive immunologically driven nature of RN and drawing parallels with multiple sclerosis, where CVS has been shown to likely indicate perivascular inflammation, this study speculated that CVS in metastatic cancer patients might predict an effective inflammatory anti-tumor response to radiation. Histologic analysis of tissues from patients with MRI-identified CVS showed significant inflammatory infiltrates in comparison to those without identified CVS. In addition, a significantly larger percentage of RN patients had CVS identified on their pre-SRS imaging compared with those who had TP.
We propose, therefore, that SRS triggers an immunologically driven treatment response in metastatic lesions that results in outcomes ranging from TP to RN. In patients with evidence of pre-treatment perivascular inflammation, SRS seems more likely to result in RN, whereas in patients without evidence of pre-treatment perivascular inflammation, SRS is more likely to fail, resulting in TP. The idea that the SRS response is driven by an immune mechanism is not a new concept [12]. The existence of CVS in the pre-SRS images may suggest that these patients already have a more robust intrinsic immune cell population within the brain. This primed immune system may then result in not only a better tumor response but also a higher likelihood of developing post-SRS RN. The radiographic and histology findings in this study support this hypothesis.
Given the findings in this study, in conjunction with other imaging sequences, the addition of the finding of CVS pre-SRS might help better distinguish between TP and RN in post-SRS patients, potentially offering an additional non-invasive method to differentiate these clinical scenarios. In addition, CVS may also emerge as an indicator of a patient’s likelihood of responding to SRS. While promising, these findings prompt further research. Future studies should focus on validating these observations in larger patient cohorts and investigating the potential of CVS as a predictive marker for cancer therapy responses.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ctn9010010/s1, Figure S1: Patient and sample overview. (A) Patient demographics, including race and sex, (B) lesion location and laterality, and (C) tissue diagnosis, are depicted in this plot. In all instances, the data set was not weighted toward any single variable; Figure S2: Statistical Analyses. (A) Multiple logistic regression and (B) ROC curve depicting a positive likelihood of RN outcome with a positive CVS on imaging pre-biopsy (Pre Bx + CVS). (C) Pearson correlation analysis shows that there is a positive correlation coefficient between Pre- Bx + CVS and RN outcomes, with a significant p-value of 0.002. (D) Principal component analysis (PCA) corroborated these findings, with a strong correlation between a positive CVS and RN; Figure S3: Histologic Analyses. Hematoxylin and Eosin-stained slides reveal radiation-induced changes such as vascular hyalinization, necrosis, and the presence of a few residual tumor cells. Immunohistochemical stains highlight individual cell types, demonstrating (A) leukocytes (CD45), (B) T-lymphocytes (CD3), and (C) macrophages (CD68). (D) These cells are found either diffusely within the parenchyma or occasionally as small perivascular accumulations.

Author Contributions

Conceptualization, J.P.A., M.A. and V.L.C.; software, J.P.A.; validation, J.P.A., A.H. and M.A.; formal analysis, J.P.A., N.A.-M., B.C.T. and M.M.-C.; investigation, J.P.A.; resources, A.H., M.A. and V.L.C.; data curation, A.H. and V.L.C.; writing—original draft preparation, J.P.A.; writing—review and editing, J.P.A., N.A.-M., B.C.T., M.M.-C., A.H. and V.L.C.; supervision, A.H., M.A. and V.L.C.; project administration, V.L.C.; funding acquisition, V.L.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of Yale University.

Informed Consent Statement

All patients signed a gamma knife repository as part of prospective enrollment at time of treatment.

Data Availability Statement

Data can be made available upon request to corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. (AC) MR imaging of three example patients (Patients A–C) depicting lesions on both T1 with contrast (T1 + C) and minimum intensity projection (mIP) both pre-radiation treatment (Pre-GK) and post-radiation treatment (Post-GK/Pre-Biopsy) are shown. The presence or absence of CVS is indicated on each of the mIP images, along with the corresponding diagnosis on histology.
Figure 1. (AC) MR imaging of three example patients (Patients A–C) depicting lesions on both T1 with contrast (T1 + C) and minimum intensity projection (mIP) both pre-radiation treatment (Pre-GK) and post-radiation treatment (Post-GK/Pre-Biopsy) are shown. The presence or absence of CVS is indicated on each of the mIP images, along with the corresponding diagnosis on histology.
Ctn 09 00010 g001
Figure 2. Hematoxylin and Eosin-stained slides reveal radiation-induced changes such as vascular hyalinization, necrosis, and the presence of a few residual tumor cells. Immunohistochemical stains highlight individual cell types, demonstrating (A) leukocytes (CD45), (B) T-lymphocytes (CD3), and (C) macrophages (CD68). (D) These cells are found either diffusely within the parenchyma or occasionally as small perivascular accumulations.
Figure 2. Hematoxylin and Eosin-stained slides reveal radiation-induced changes such as vascular hyalinization, necrosis, and the presence of a few residual tumor cells. Immunohistochemical stains highlight individual cell types, demonstrating (A) leukocytes (CD45), (B) T-lymphocytes (CD3), and (C) macrophages (CD68). (D) These cells are found either diffusely within the parenchyma or occasionally as small perivascular accumulations.
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MDPI and ACS Style

Antonios, J.P.; Adenu-Mensah, N.; Theriault, B.C.; Millares-Chavez, M.; Huttner, A.; Aboian, M.; Chiang, V.L. The Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients. Clin. Transl. Neurosci. 2025, 9, 10. https://doi.org/10.3390/ctn9010010

AMA Style

Antonios JP, Adenu-Mensah N, Theriault BC, Millares-Chavez M, Huttner A, Aboian M, Chiang VL. The Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients. Clinical and Translational Neuroscience. 2025; 9(1):10. https://doi.org/10.3390/ctn9010010

Chicago/Turabian Style

Antonios, Joseph P., Nana Adenu-Mensah, Brianna C. Theriault, Miguel Millares-Chavez, Anita Huttner, Mariam Aboian, and Veronica L. Chiang. 2025. "The Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients" Clinical and Translational Neuroscience 9, no. 1: 10. https://doi.org/10.3390/ctn9010010

APA Style

Antonios, J. P., Adenu-Mensah, N., Theriault, B. C., Millares-Chavez, M., Huttner, A., Aboian, M., & Chiang, V. L. (2025). The Central Vein Sign as a Radiologic Tool to Predict the Diagnosis of Radiation Necrosis in Intracranial Metastatic Cancer Patients. Clinical and Translational Neuroscience, 9(1), 10. https://doi.org/10.3390/ctn9010010

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