Publications by authors named "M A Brockmann"

Background: Several factors are frequently considered for outcome prediction rin stroke patients. We assessed the value of digital subtraction angiography (DSA)-based brain perfusion measurements after mechanical thrombectomy (MT) for outcome prediction in acute ischaemic stroke.

Methods: From DSA image data (n = 90; 38 females; age 73.

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Article Synopsis
  • The study investigates how multimodal treatment affects progression-free survival (PFS) and overall survival (OS) for patients with multiple localizations of glioblastoma, a rare and aggressive brain tumor.* -
  • Researchers analyzed data from 483 glioblastoma patients, finding that the extent of surgical resection significantly predicts both PFS and OS, and that various treatment strategies improved outcomes.* -
  • The results indicate that patients with multiple lesions can achieve similar survival rates as those with a single tumor when receiving aggressive, comprehensive treatment.*
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In this study, novel fluorinated carboxylic acid esters of the generic structure TfO-CH-(CF) -COOCH ( = 2,4,6, Tf = triflate) were synthesized. The triflates were reacted with 2-hydroxy-3,4,5-trimethoxybenzaldehyde via Williamson ether syntheses. The resulting electron-rich compounds were used as aldehydes in the Rothemund reaction with pyrrole to form ester-substituted porphyrins.

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Purpose: To examine the impact of deep learning-augmented contrast enhancement on image quality and diagnostic accuracy of poorly contrasted CT angiography in patients with suspected stroke.

Methods: This retrospective single-centre study included 102 consecutive patients who underwent CT imaging for suspected stroke between 01/2021 and 12/2022, including whole brain volume perfusion CT (VPCT) and, specifically, a poorly contrasted CT angiography (defined as < 350HU in the proximal MCA). CT angiography imaging data was reconstructed using i.

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Preoperative identification of intracranial meningiomas with aggressive behaviour may help in choosing the optimal treatment strategy. Radiomics is emerging as a powerful diagnostic tool with potential applications in patient risk stratification. In this study, we aimed to compare the predictive value of conventional, semantic based and radiomic analyses to determine CNS WHO grade and early tumour relapse in intracranial meningiomas.

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