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Multi-Dynamic-Multi-Echo-based MRI for the Pre-Surgical Determination of Sellar Tumor Consistency: a Quantitative Approach for Predicting Lesion Resectability.
Yildirim, Mehmet Salih; Schmidbauer, Victor Ulrich; Micko, Alexander; Lechner, Lisa; Weber, Michael; Furtner, Julia; Wolfsberger, Stefan; Malla Houech, Intesar-Victoria; Cho, Anna; Dovjak, Gregor; Kasprian, Gregor; Prayer, Daniela; Marik, Wolfgang.
Affiliation
  • Yildirim MS; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Schmidbauer VU; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Micko A; Department of Neurosurgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.
  • Lechner L; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Weber M; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Furtner J; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Wolfsberger S; Department of Neurosurgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.
  • Malla Houech IV; Department of Diagnostic Imaging, Medical University of Sofia, Sveti Georgi Sofiyski 1, 1431, Sofia, Bulgaria.
  • Cho A; Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Dovjak G; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Kasprian G; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Prayer D; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
  • Marik W; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. wolfgang.marik@meduniwien.ac.at.
Clin Neuroradiol ; 2024 Apr 19.
Article in En | MEDLINE | ID: mdl-38639770
ABSTRACT

PURPOSE:

Pre-surgical information about tumor consistency could facilitate neurosurgical planning. This study used multi-dynamic-multi-echo (MDME)-based relaxometry for the quantitative determination of pituitary tumor consistency, with the aim of predicting lesion resectability.

METHODS:

Seventy-two patients with suspected pituitary adenomas, who underwent preoperative 3 T MRI between January 2020 and January 2022, were included in this prospective study. Lesion-specific T1-/T2-relaxation times (T1R/T2R) and proton density (PD) metrics were determined. During surgery, data about tumor resectability were collected. A Receiver Operating Characteristic (ROC) curve analysis was performed to investigate the diagnostic performance (sensitivity/specificity) for discriminating between easy- and hard-to-remove by aspiration (eRAsp and hRAsp) lesions. A Mann-Whitney-U-test was done for group comparison.

RESULTS:

A total of 65 participants (mean age, 54 years ± 15, 33 women) were enrolled in the quantitative analysis. Twenty-four lesions were classified as hRAsp, while 41 lesions were assessed as eRAsp. There were significant differences in T1R (hRAsp 1221.0 ms ± 211.9; eRAsp 1500.2 ms ±â€¯496.4; p = 0.003) and T2R (hRAsp 88.8 ms ± 14.5; eRAsp 137.2 ms ± 166.6; p = 0.03) between both groups. The ROC analysis revealed an area under the curve of 0.72 (95% CI 0.60-0.85) at p = 0.003 for T1R (cutoff value 1248 ms; sensitivity/specificity 78%/58%) and 0.66 (95% CI 0.53-0.79) at p = 0.03 for T2R (cutoff value 110 ms; sensitivity/specificity 39%/96%).

CONCLUSION:

MDME-based relaxometry enables a non-invasive, pre-surgical characterization of lesion consistency and, therefore, provides a modality with which to predict tumor resectability.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Neuroradiol Journal subject: NEUROLOGIA / RADIOLOGIA Year: 2024 Document type: Article Affiliation country: Austria

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Neuroradiol Journal subject: NEUROLOGIA / RADIOLOGIA Year: 2024 Document type: Article Affiliation country: Austria