Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma

Autor: Yingwei Wu, Gongxin Yang, Xiaofeng Tao, H Shi, Yongming Dai, Zhen Tian, Xing Yang, Jinyu Zhu
Rok vydání: 2019
Předmět:
Adult
Male
Diagnostic information
lcsh:Medical technology
Tongue squamous cell carcinoma
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
Young Adult
03 medical and health sciences
0302 clinical medicine
Vascularity
Tongue
Humans
Medicine
Radiology
Nuclear Medicine and imaging
Prospective Studies
Aged
Aged
80 and over
Multi parametric
medicine.diagnostic_test
business.industry
Magnetic resonance imaging
Middle Aged
medicine.disease
Magnetic Resonance Imaging
Oral tongue squamous cell carcinoma (OTSCC)
Tongue Neoplasms
Tumor Burden
medicine.anatomical_structure
lcsh:R855-855.5
ROC Curve
Susceptibility weighted imaging
Intratumoral susceptibility signal intensities (ITSSs)
Carcinoma
Squamous Cell
Susceptibility-weighted imaging (SWI)
Female
Neoplasm Grading
medicine.symptom
business
Nuclear medicine
030217 neurology & neurosurgery
Research Article
MRI
Calcification
Zdroj: BMC Medical Imaging
BMC Medical Imaging, Vol 19, Iss 1, Pp 1-10 (2019)
ISSN: 1471-2342
DOI: 10.1186/s12880-019-0322-8
Popis: Background Susceptibility weighted imaging (SWI) is helpful for depicting hemorrhage, calcification, and increased vascularity in some neoplasms, which may reflect tumor grade. In this study, we aimed to apply SWI in patients with oral tongue squamous cell carcinomas (OTSCCs) and relate multi-parametric effect to tumor histological grade prediction. Methods Preoperative MR examinations were performed on a 1 .5T MRI scanner with T1-, T2- and contrast-enhanced (CE) T1-weighted imaging. In addition to routine head and neck MRI sequences, SWI was performed. Tumor thickness and volume were measured. Intratumoral susceptibility signal intensities (ITSSs), ITSS score and ITSS ratio on SWI were evaluated and recorded. Subjects were sub-grouped into low- and high-grade according to the histological findings post operation. Parameters such as tumor thickness, tumor volume and three ITSS related parameters were compared between low- and high-grade groups. ROC analysis was performed on above parameters to access the capability in predicting tumor histological grade. Different multi-parametric models were run to access multi-parametric combination effect. Results Thirty patients with OTSCC were finally included in the study. Twenty of them were categorized as low-grade SCC and the other ten subjects were high-grade SCC according to the pathologic findings. No significant difference was seen for tumor thickness or tumor volume between two sub-groups. ITSSs were seen in 23/30 patients. Significant difference of ITSS scores between low- and high-grade OTSCCs was observed, with mean value of 0.95 ± 0.83 and 1.70 ± 0.95, respectively. Univariate ROC analysis demonstrated ITSSs, ITSS score and ITSS ratio were valuable parameters for predicting tumor histological grade and ITSSs was superior to the other two parameters, with an area under ROC curve of 0.790. Multi-parametric model using combination of ITSSs and tumor thickness would greatly improve the predictive capability in comparison with a univariate approach, yielding the area under ROC curve of 0.84(0.69,0.99). On contrast-enhanced SWI (CE-SWI), ITSSs were shown more clearly delineated in comparison with non-contrast enhanced SWI. Conclusions In conclusion, SWI was superior in depiction of internal characteristics of OTSCCs, which would potentially provide more diagnostic information. Multi-parametric model using combination of ITSSs and tumor thickness would be valuable in predicting tumor histological grade.
Databáze: OpenAIRE
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