Literature DB >> 34993101

Intra-tumoral susceptibility signal: a post-processing technique for objective grading of astrocytoma with susceptibility-weighted imaging.

Tzu-Chao Chuang1, Yen-Lin Chen1, Wan-Pin Shui1, Hsiao-Wen Chung2, Shu-Shong Hsu3, Ping-Hong Lai4,5.   

Abstract

BACKGROUND: Susceptibility-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.
METHODS: Precontrast 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 t-test was applied to examine significant difference of qITSS percentage between high-grade and low-grade astrocytoma for different NC thresholds, ranging from 4 to 20. Receiver operating characteristic analysis was performed to evaluate the performance of differentiation.
RESULTS: P 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.
CONCLUSIONS: Without 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. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Susceptibility-weighted imaging (SWI); astrocytoma; tumor grading

Year:  2022        PMID: 34993101      PMCID: PMC8666794          DOI: 10.21037/qims-21-58

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  32 in total

1.  Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses.

Authors:  Vivek Sehgal; Zachary Delproposto; Djamel Haddar; E Mark Haacke; Andrew E Sloan; Lucia J Zamorano; Geoffery Barger; Jiani Hu; Yingbiao Xu; Karthik Praveen Prabhakaran; Ilaya R Elangovan; Jaladhar Neelavalli; Jürgen R Reichenbach
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

2.  Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent.

Authors:  J R Reichenbach; R Venkatesan; D J Schillinger; D K Kido; E M Haacke
Journal:  Radiology       Date:  1997-07       Impact factor: 11.105

Review 3.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

4.  Discriminating pyogenic brain abscesses, necrotic glioblastomas, and necrotic metastatic brain tumors by means of susceptibility-weighted imaging.

Authors:  Jui-Hsun Fu; Tzu-Chao Chuang; Hsiao-Wen Chung; Hing-Chiu Chang; Huey-Shyan Lin; Shu-Shong Hsu; Po-Chin Wang; Shuo-Hsiu Hsu; Huay-Ben Pan; Ping-Hong Lai
Journal:  Eur Radiol       Date:  2014-12-03       Impact factor: 5.315

5.  Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imaging.

Authors:  Philipp Kickingereder; Benedikt Wiestler; Felix Sahm; Sabine Heiland; Matthias Roethke; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  Radiology       Date:  2014-05-03       Impact factor: 11.105

6.  Combination of high-resolution susceptibility-weighted imaging and the apparent diffusion coefficient: added value to brain tumour imaging and clinical feasibility of non-contrast MRI at 3 T.

Authors:  S M Park; H S Kim; G-H Jahng; C-W Ryu; S Y Kim
Journal:  Br J Radiol       Date:  2009-08-18       Impact factor: 3.039

Review 7.  Oligodendroglioma.

Authors:  Martin J Van den Bent; Michele Reni; Gemma Gatta; Charles Vecht
Journal:  Crit Rev Oncol Hematol       Date:  2008-02-12       Impact factor: 6.312

8.  Differentiation of brain metastases by percentagewise quantification of intratumoral-susceptibility-signals at 3Tesla.

Authors:  Alexander Radbruch; Markus Graf; Linda Kramp; Benedikt Wiestler; Ralf Floca; Philipp Bäumer; Matthias Roethke; Bram Stieltjes; Heinz-Peter Schlemmer; Sabine Heiland; Martin Bendszus
Journal:  Eur J Radiol       Date:  2012-07-12       Impact factor: 3.528

9.  Arterial spin-labeling assessment of normalized vascular intratumoral signal intensity as a predictor of histologic grade of astrocytic neoplasms.

Authors:  J Furtner; V Schöpf; K Schewzow; G Kasprian; M Weber; R Woitek; U Asenbaum; M Preusser; C Marosi; J A Hainfellner; G Widhalm; S Wolfsberger; D Prayer
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-14       Impact factor: 3.825

10.  Susceptibility-weighted imaging in grading brain astrocytomas.

Authors:  Chuanting Li; Bin Ai; Yan Li; Hengtao Qi; Lebin Wu
Journal:  Eur J Radiol       Date:  2009-09-01       Impact factor: 3.528

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