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Cited by 261

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Stereotactic radiosurgical treatment of brain metastases

Adler, John R., Cox, Richard S., Kaplan, Irving, Martin, David P.·1992·Journal of Neurosurgery

Abstract

✓ In a series of 33 patients with reasonably controlled primary cancers, stereotactic radiosurgery was used to treat 52 brain metastases. After a mean radiological follow-up time of 5.5 months, six lesions (12%) had stabilized in size, 26 (50%) were significantly reduced, and 15 (29%) had disappeared. One large melanoma metastasis progressed relentlessly despite treatment. Five lesions (9%) had decreased in size slightly before enlarging. In two of these lesions, biopsy revealed only necrosis. In almost all cases, treatment was associated with decreased peritumoral edema. However, a group of patients with large metastases and extensive prior brain irradiation has been identified in whom prolonged symptomatic cerebral edema poses a problem. It is concluded that radiosurgery is a viable alternative to surgical resection for some cases of brain metastasis.

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Crossref · 10.3171/jns.1992.76.3.0444

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Metadata

Authors
Adler, J. R., Cox, R. S., Kaplan, I., & Martin, D. P.
Venue
Journal of Neurosurgery
Published
1992-03
Volume
76
Issue
3
Pages
444-449
ISSN
0022-3085 (ISSN-L)
OpenAlex
W2162505942
Cited by
261
References
1
FWCI
16.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stereotactic radiosurgical treatment of brain metastases. https://app.cochat.ai/papers/10.3171/jns.1992.76.3.0444
The paper
Adler, J. R., Cox, R. S., Kaplan, I., & Martin, D. P. (1992). Stereotactic radiosurgical treatment of brain metastases. Journal of Neurosurgery. https://doi.org/10.3171/jns.1992.76.3.0444

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.