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Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Lear...

Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Lear...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_jcm14092896

Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI Radiomics

About this item

Full title

Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI Radiomics

Journal title

Journal of clinical medicine, 2025-04, Vol.14 (9), p.2896

Language

English

Formats

More information

Scope and Contents

Contents

Background/Objectives: Gamma knife radiosurgery (GKRS) is widely performed as an adjuvant management of patients with residual or recurrent pituitary adenoma (PA). However, the variability in the tumor volume response to GKRS emphasizes the need for reliable predictors of treatment outcomes. The application of radiomics, an analytical approach for...

Alternative Titles

Full title

Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI Radiomics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_3390_jcm14092896

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_jcm14092896

Other Identifiers

ISSN

2077-0383

E-ISSN

2077-0383

DOI

10.3390/jcm14092896

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