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This study evaluates the performance of dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) parameters to distinguish responders from non-responders at midterm follow-up in lung carcinoma BMs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Twenty-six patients (mean age 62\u2009\u00b1\u200910 years) with 54 lung carcinoma BMs (NSCLC 67%, SCLC 33%) underwent SRS. The DCE-MRI and DSC-MRI were performed at baseline and repeated 4\u20138 weeks post-SRS to predict treatment responses at the midterm follow-up (6\u201312 months). Midterm outcomes were classified according to RANO-BM criteria as responders (complete response, partial response, or stable disease) or non-responders (progressive disease). Receiver operating characteristic (ROC) analyses evaluated the diagnostic accuracy of individual perfusion parameters and their combinations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Forty lesions (74%) were responders, while 14 (26%) were non-responders. Progressive lesions showed a mean volume increase of 5.5-fold, whereas responders demonstrated a 60% mean volume reduction. Responders showed significantly lower absolute post-SRS K-trans (median 0.015 vs. 0.035\u00a0min\u207b\u00b9;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005), a higher proportional decrease in K-trans from baseline (\u2212\u200927% vs. +13%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.017), and lower post-SRS Ve (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.009) compared to non-responders. Absolute post-SRS K-trans had the highest individual predictive accuracy (AUC\u2009=\u20090.75, accuracy\u2009=\u200978%, sensitivity\u2009=\u200986%, specificity\u2009=\u200955%). Neither the dynamic change nor post-SRS nCBV alone predicted midterm response; however, combining post-SRS nCBV with K-trans slightly improved predictive performance (AUC\u2009=\u20090.76, accuracy\u2009=\u200979%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Early post-SRS absolute K-trans is the best perfusion parameter for predicting midterm response in lung carcinoma BMs. DSC-MRI parameters alone offer limited predictive value.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s11060-025-05054-5","type":"journal-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T03:02:42Z","timestamp":1747969362000},"page":"207-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Predictive value of early DCE and DSC perfusion MRI parameters for midterm clinical outcomes in lung cancer brain metastases treated with stereotactic radiosurgery"],"prefix":"10.1007","volume":"174","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0661-7867","authenticated-orcid":false,"given":"Yunus Emre","family":"Senturk","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4216-5180","authenticated-orcid":false,"given":"Enes Muhammed","family":"Canturk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4913-6860","authenticated-orcid":false,"given":"Ahmet","family":"Peker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3066-1737","authenticated-orcid":false,"given":"Sabahattin","family":"Y\u00fczkan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8952-6866","authenticated-orcid":false,"given":"Yavuz","family":"Samanc\u0131","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3057-3355","authenticated-orcid":false,"given":"Sel\u00e7uk","family":"Peker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"5054_CR1","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1007\/s13402-017-0348-2","volume":"40","author":"M Yousefi","year":"2017","unstructured":"Yousefi M, Bahrami T, Salmaninejad A, Nosrati R, Ghaffari P, Ghaffari SH (2017) Lung cancer-associated brain metastasis: molecular mechanisms and therapeutic options. 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