scholarly journals Ability of diffusion-weighted imaging for the differential diagnosis between chronic expanding hematomas and malignant soft tissue tumors

2008 ◽  
Vol 28 (5) ◽  
pp. 1195-1200 ◽  
Author(s):  
Kiyoshi Oka ◽  
Toshitake Yakushiji ◽  
Hiro Sato ◽  
Shigeta Yorimitsu ◽  
Yoshiko Hayashida ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Soft Tissue ◽  
Diffusion Weighted Imaging ◽  
Soft Tissue Tumors ◽  
Malignant Soft Tissue Tumors ◽  
Diffusion Weighted ◽  
Malignant Soft Tissue

Usefulness of diffusion-weighted imaging for differentiating between desmoid tumors and malignant soft tissue tumors

2010 ◽  
Vol 33 (1) ◽  
pp. 189-193 ◽  
Author(s):  
Kiyoshi Oka ◽  
Toshitake Yakushiji ◽  
Hiro Sato ◽  
Toru Fujimoto ◽  
Toshinori Hirai ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Diffusion Weighted Imaging ◽  
Soft Tissue Tumors ◽  
Desmoid Tumors ◽  
Malignant Soft Tissue Tumors ◽  
Diffusion Weighted ◽  
Malignant Soft Tissue

Evaluation of delayed18F-FDG PET in differential diagnosis for malignant soft-tissue tumors

2006 ◽  
Vol 20 (10) ◽  
pp. 671-675 ◽  
Author(s):  
Keisuke Enomoto ◽  
Ichiro Higuchi ◽  
Jun Hatazawa ◽  
Kenichiro Hamada ◽  
Yasuhiko Tomita ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Soft Tissue ◽  
Fdg Pet ◽  
Soft Tissue Tumors ◽  
Malignant Soft Tissue Tumors ◽  
Malignant Soft Tissue

scholarly journals Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Seung Eun Lee ◽  
Joon-Yong Jung ◽  
Yoonho Nam ◽  
So-Yeon Lee ◽  
Hyerim Park ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Malignant Tumors ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Imaging Features ◽  
Malignant Soft Tissue Tumors ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Malignant Soft Tissue

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.

Differential diagnosis between benign and malignant soft tissue tumors utilizing ultrasound parameters

2017 ◽  
Vol 45 (1) ◽  
pp. 113-119 ◽  
Author(s):  
Takeshi Morii ◽  
Tomonori Kishino ◽  
Naoko Shimamori ◽  
Mitsue Motohashi ◽  
Hiroaki Ohnishi ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Malignant Soft Tissue Tumors ◽  
Ultrasound Parameters ◽  
Malignant Soft Tissue

Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors

2021 ◽  
Author(s):  
Brandon K. K. Fields ◽  
Natalie L. Demirjian ◽  
Darryl H. Hwang ◽  
Bino A. Varghese ◽  
Steven Y. Cen ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Volumetric Mri ◽  
Malignant Soft Tissue Tumors ◽  
Malignant Soft Tissue
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