Histogram-based analysis of diffusion-weighted imaging for predicting aggressiveness in papillary thyroid carcinoma

BMC Medical Imaging

卷:22

Research

Bin Song¹  Xilin Sun¹  Yuzhong Zhuang¹  Ran Wei¹  Lanyun Wang¹  Hao Wang¹  Zedong Dai¹  Yaqiong Ge² 

[1] Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, 201199, Shanghai, People’s Republic of China;

[2] GE Healthcare, Shanghai, People’s Republic of China;

关键词: Magnetic resonance imaging;    Diffusion-weighted imaging;    Apparent diffusion coefficient;    Papillary thyroid carcinoma;    Aggressiveness;   

DOI  :  10.1186/s12880-022-00920-4

 received in 2022-04-12, accepted in 2022-10-25,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundTo assess the potential of apparent diffusion coefficient (ADC) map in predicting aggressiveness of papillary thyroid carcinoma (PTC) based on whole-tumor histogram-based analysis.MethodsA total of 88 patients with PTC confirmed by pathology, who underwent neck magnetic resonance imaging, were enrolled in this retrospective study. Whole-lesion histogram features were extracted from ADC maps and compared between the aggressive and non-aggressive groups. Multivariable logistic regression analysis was performed for identifying independent predictive factors. Receiver operating characteristic curve analysis was used to evaluate the performances of significant factors, and an optimal predictive model for aggressiveness of PTC was developed.ResultsThe aggressive and non-aggressive groups comprised 67 (mean age, 44.03 ± 13.99 years) and 21 (mean age, 43.86 ± 12.16 years) patients, respectively. Five histogram features were included into the final predictive model. ADC_firstorder_TotalEnergy had the best performance (area under the curve [AUC] = 0.77). The final combined model showed an optimal performance, with AUC and accuracy of 0.88 and 0.75, respectively.ConclusionsWhole-lesion histogram analysis based on ADC maps could be utilized for evaluating aggressiveness in PTC.

【 授权许可】

CC BY   
© The Author(s) 2022

【 图 表 】

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