Journal of Magnetic Resonance Imaging· 2026Q1
DBSI Modeli Glioma Heterojenliğini Proliferasyon ve Hayatta Kalma ile İlişkilendiriyor
Diffusion Basis Spectrum Imaging ( DBSI ): A Multicompartment Diffusion Model Linking Regional Microstructural Heterogeneity With Proliferation and Survival in High‐Grade Gliomas
- 1atıf
- Q1SCImago
- 2026yıl
Kısa özet
Yüksek dereceli gliomlarda (HGG) kontrast-geliştiren bölgelerden (CER) ve kontrast-geliştirmeyen bölgelerden (NEHR) elde edilen Difüzyon Temel Spektrum Görüntüleme (DBSI) histogram özellikleri, proliferasyon ve genel sağkalım (OS) ile ilişkilidir. CER'deki kısıtlı fraksiyonun sağlam mutlak ortalama sapması, Ki-67 seviyesinin en iyi tekil belirleyicisiydi (AUC=0.714) ve birleşik DBSI özellikleri AUC=0.791'e ulaştı.
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Ana noktalar
- HGG'lerde CER ve NEHR'den elde edilen DBSI türevi histogram özellikleri, tümör mikroçevre heterojenliği ile ilişkilidir.
- CER'deki kısıtlı fraksiyonun sağlam mutlak ortalama sapması, Ki-67 LI'nin en iyi tekil belirleyicisiydi (AUC=0.714).
- CER'den elde edilen birleşik DBSI özellikleri, Ki-67 LI tahminini AUC=0.791'e yükseltti.
- NEHR'den elde edilen DBSI özellikleri ve multifokalite, genel sağkalımın (OS) önemli belirleyicileriydi.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Özet (abstract)
BACKGROUND: Diffusion basis spectrum imaging (DBSI) has emerged as an advanced model capable of characterizing central nervous system tissue injury and glioma pathology. However, the associations of DBSI with key characteristics of high-grade gliomas (HGGs), including proliferation and survival outcomes, remain underexplored. PURPOSE: To evaluate the associations between DBSI-derived histogram features with Ki-67 level and overall survival (OS) in HGGs. STUDY TYPE: Retrospective. SUBJECTS: Ninety-one patients (36 women, 53.41 ± 12.62 years) with HGGs. FIELD/SEQUENCE: 3-T, spin-echo echo-planar imaging (SE-EPI) sequence with q-space Cartesian grid sampling. ASSESSMENT: DBSI was used to estimate restricted fraction, hindered fraction, water fraction, anisotropic fraction, and mean isotropic apparent diffusion coefficient (iso ADC). Histogram features were extracted from both the contrast-enhancing regions (CER) and non-enhancing T2-weighted imaging (T2WI)/fluid attenuated inversion recovery (FLAIR) hyperintense regions (NEHR). Patients were stratified by Ki-67 labeling index (LI), and OS was defined as the time from surgery to death or last follow-up. STATISTICAL TESTS: Receiver operating characteristic (ROC) curve analysis and Cox regression were applied to evaluate features in relation to Ki-67 LI and OS, respectively. p < 0.05 was considered significant. RESULTS: In HGGs, CER showed higher restricted and anisotropic fractions, whereas NEHR showed a higher hindered fraction, water fraction, and iso ADC. For Ki-67 assessment, the robust mean absolute deviation (RMAD) of restricted fraction in CER was the best single feature (AUC = 0.714), and the combination of DBSI features improved the AUC to 0.791. Furthermore, DBSI features from NEHR, together with multifocality, were significant factors associated with OS. DATA CONCLUSION: DBSI-derived histogram analysis provides a noninvasive quantitative characterization of HGG heterogeneity. Proliferative activity may be primarily reflected within CER, while survival outcomes may be related to DBSI features in NEHR. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 3.
Yazarların özeti; kaynağından alınmıştır. Journal of Magnetic Resonance Imaging, 2026 · DOI ↗
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Alan: Radyoloji, Nükleer Tıp ve Görüntüleme
Radiology, Nuclear Medicine and ImagingMedicine