Celtikci Pinar, Fernandes-Cabral David T, Yeh Fang-Cheng, Panesar Sandip S, Fernandez-Miranda Juan C
Department of Neurological Surgery, University of Pittsburgh Medical Center, 200 Lothrop St., Suite B-400, Pittsburgh, PA, 15213, USA.
Neuroradiology. 2018 Mar;60(3):267-280. doi: 10.1007/s00234-018-1985-5. Epub 2018 Jan 25.
Low-grade gliomas (LGGs) are slow growing brain tumors that often cause displacement and/or infiltration of the surrounding white matter pathways. Differentiation between infiltration and displacement of fiber tracts remains a challenge. Currently, there is no reliable noninvasive imaging method capable of revealing such white matter alteration patterns. We employed quantitative anisotropy (QA) derived from generalized q-sampling imaging (GQI) to identify patterns of fiber tract alterations by LGGs.
Sixteen patients with a neuropathological diagnosis of LGG (WHO grade II) were enrolled. Peritumoral fiber tracts underwent qualitative and quantitative evaluation. Contralateral hemisphere counterparts were used for comparison. Tracts were qualitatively classified as unaffected, displaced, infiltrated or displaced, and infiltrated at once. The average QA of whole tract (W), peritumoral tract segment (S), and their ratio (S/W) were obtained and compared to the healthy side for quantitative evaluation.
Qualitative analysis revealed 9 (13.8%) unaffected, 24 (36.9%) displaced, 13 (20%) infiltrated, and 19 (29.2%) tracts with a combination of displacement and infiltration. There were no disrupted tracts. There was a significant increase in S/W ratio among displaced tracts in the pre-operative scans in comparison with the contralateral side. QA values of peritumoral tract segments (S) were significantly lower in infiltrated tracts.
WHO grade II LGGs might displace, infiltrate, or cause a combination of displacement and infiltration of WM tracts. QA derived from GQI provides valuable information that helps to differentiate infiltration from displacement. Anisotropy changes correlate with qualitative alterations, which may serve as a potential biomarker of fiber tract integrity.
低级别胶质瘤(LGGs)是生长缓慢的脑肿瘤,常导致周围白质通路的移位和/或浸润。区分纤维束的浸润和移位仍然是一项挑战。目前,尚无可靠的非侵入性成像方法能够揭示这种白质改变模式。我们采用广义q采样成像(GQI)衍生的定量各向异性(QA)来识别LGGs引起的纤维束改变模式。
纳入16例经神经病理学诊断为LGG(世界卫生组织二级)的患者。对瘤周纤维束进行定性和定量评估。以对侧半球对应部位作为对照。纤维束定性分类为未受影响、移位、浸润或同时存在移位和浸润。获取全束(W)、瘤周束段(S)的平均QA及其比值(S/W),并与健康侧进行比较以进行定量评估。
定性分析显示,9条(13.8%)未受影响,24条(36.9%)移位,13条(20%)浸润,19条(29.2%)同时存在移位和浸润。没有纤维束中断。术前扫描中,移位纤维束的S/W比值与对侧相比显著增加。浸润纤维束的瘤周束段(S)的QA值显著更低。
世界卫生组织二级LGGs可能会移位、浸润或导致白质束移位和浸润同时存在。GQI衍生的QA提供了有价值的信息,有助于区分浸润和移位。各向异性变化与定性改变相关,这可能作为纤维束完整性的潜在生物标志物。