ArticleQuantitative imaging in medicine and surgery2022
Intra-tumoral susceptibility signal: a post-processing technique for objective grading of astrocytoma with susceptibility-weighted imaging.
Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 9 citations in OpenAlex.
- 7-T MRI intratumoral susceptibility signals reflect biomarker status in gliomas.European radiology experimental · 2026Article
- Investigating the potential of segmented echo-planar imaging-based susceptibility-weighted imaging for glioma grading.Magma (New York, N.Y.) · 2026Article
- Automated intertumoral susceptibility signal extraction combined with quantitative enhanced TQuantitative imaging in medicine and surgery · 2025Article
- The Diagnostic Value of Susceptibility-Weighted Imaging in Preoperative Grading of Glial Tumors.Cureus · 2025Article
- Diagnostic Utility of Intratumoral Susceptibility Signals in Adult Diffuse Gliomas: Tumor Grade Prediction and Correlation with Molecular Markers Within the WHO CNS5 (2021) Classification.Journal of clinical medicine · 2025Article
- Automated ITSS extraction combined with R2* values obtained from enhanced T2*-weighted angiography in magnetic resonance imaging: a promising approach for differentiate cervical adenocarcinoma from squamous carcinoma.Frontiers in oncology · 2025Article
- Prediction of HIF-1α expression in endometrial carcinoma by enhanced TFrontiers in oncology · 2024Article
- Performance comparison of different medical image fusion algorithms for clinical glioma grade classification with advanced magnetic resonance imaging (MRI).Scientific reports · 2023Article
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6 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSusceptibility-weighted imaging (SWI) is sensitive to the accumulation of paramagnetic substances, such as hemorrhage and increased venous vasculature, both being frequently found in high-grade tumors. The purpose of this retrospective study is to differentiate high-grade and low-grade astrocytoma by objectively measuring quantitative intra-tumoral susceptibility signals (qITSS) on SWI.
methodsPrecontrast SWI and 3D contrast-enhanced T1WI of 65 patients with astrocytoma were collected at 1.5 Tesla. All tumors were histologically confirmed and classified into two groups: high grade (WHO grade III and IV, n=50) and low grade (WHO grade II, n=15). After manual delineation of the tumor on T1WI, normalized contrast (NC) was calculated voxel by voxel within the tumor by using the concept of contrast to noise ratio. Thresholding on NC was applied to detect qITSS, and the volumetric percentage of qITSS can be obtained for each tumor. Two-sample
resultsP value was less than 0.01 for a large range of NC thresholds [4-20], reflecting significant difference of qITSS percentage between high-grade and low-grade astrocytoma. The area under the receiver operating characteristic curve was larger than 0.9 at NC thresholds from 8 to 16 and peaks at 0.949 with a NC threshold of 14. It was shown that astrocytoma grading by qITSS percentage is successful for a wide range of NC threshold, demonstrating robustness on threshold selection.
conclusionsWithout relying on the selection of slice position and at the same time providing objective identification of hypointense signal in SWI, the qITSS percentage can be used to distinguish high-grade and low-grade astrocytoma reliably.
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