Benign versus Malignant Soft-Tissue Tumors: Differentiation with 3T Magnetic Resonance Image Textural Analysis Including Diffusion-Weighted Imaging

2021 ◽  
Vol 25 (2) ◽  
pp. 118
Author(s):  
Youngjun Lee ◽  
Won-Hee Jee ◽  
Yoon Sub Whang ◽  
Chan Kwon Jung ◽  
Yang-Guk Chung ◽  
...  
2010 ◽  
Vol 33 (1) ◽  
pp. 189-193 ◽  
Author(s):  
Kiyoshi Oka ◽  
Toshitake Yakushiji ◽  
Hiro Sato ◽  
Toru Fujimoto ◽  
Toshinori Hirai ◽  
...  

2008 ◽  
Vol 28 (5) ◽  
pp. 1195-1200 ◽  
Author(s):  
Kiyoshi Oka ◽  
Toshitake Yakushiji ◽  
Hiro Sato ◽  
Shigeta Yorimitsu ◽  
Yoshiko Hayashida ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Seung Eun Lee ◽  
Joon-Yong Jung ◽  
Yoonho Nam ◽  
So-Yeon Lee ◽  
Hyerim Park ◽  
...  

AbstractDiffusion-weighted imaging (DWI) is proven useful to differentiate benign and malignant soft tissue tumors (STTs). Radiomics utilizing a vast array of extracted imaging features has a potential to uncover disease characteristics. We aim to assess radiomics using DWI can outperform the conventional DWI for STT differentiation. In 151 patients with 80 benign and 71 malignant tumors, ADCmean and ADCmin were measured on solid portion within the mass by two different readers. For radiomics approach, tumors were segmented and 100 original radiomic features were extracted on ADC map. Eight radiomics models were built with training set (n = 105), using combinations of 2 different algorithms—multivariate logistic regression (MLR) and random forest (RF)—and 4 different inputs: radiomics features (R), R + ADCmin (I), R + ADCmean (E), R + ADCmin and ADCmean (A). All models were validated with test set (n = 46), and AUCs of ADCmean, ADCmin, MLR-R, RF-R, MLR-I, RF-I, MLR-E, RF-E, MLR-A and RF-A models were 0.729, 0.753 0.698, 0.700, 0.773, 0.807, 0.762, 0.744, 0.773 and 0.807, respectively, without statistically significant difference. In conclusion, radiomics approach did not add diagnostic value to conventional ADC measurement for differentiating benign and malignant STTs.


Author(s):  
Brandon K. K. Fields ◽  
Natalie L. Demirjian ◽  
Darryl H. Hwang ◽  
Bino A. Varghese ◽  
Steven Y. Cen ◽  
...  

2007 ◽  
Vol 25 (6) ◽  
pp. 1199-1204 ◽  
Author(s):  
Masayuki Maeda ◽  
Akihiko Matsumine ◽  
Hiroya Kato ◽  
Katsuyuki Kusuzaki ◽  
Stephan E. Maier ◽  
...  

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