Soft Tissue Tumors of the Foot and Ankle

Foot & Ankle ◽  
1988 ◽  
Vol 9 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Karen S. Seale ◽  
Thomas A. Lange ◽  
David Monson ◽  
Donald A. Hackbarth
Keyword(s):  
Soft Tissue ◽  
Malignant Tumors ◽  
Synovial Cell ◽  
Clear Cell Sarcoma ◽  
Soft Tissue Tumors ◽  
Foot And Ankle ◽  
Cell Sarcoma ◽  
Malignant Lesions ◽  
Diagnostic Modalities ◽  
Malignant Soft Tissue

Seven patients with malignant soft tissue tumors of the foot and ankle were retrospectively reviewed. Emphasis was placed on the value of various diagnostic modalities used preoperatively for staging and the adequacy of treatment rendered using current tumor surgery principles. The malignant tumors included synovial cell sarcoma (four), clear cell sarcoma (one), fibrosarcoma (one), and melanoma (one). Surgical management of the malignant lesions included intracapsular excision, marginal excision, wide excision, and radical amputation.

scholarly journals Multiparametric quantitative analysis of tumor perfusion and diffusion with 3T MRI: differentiation between benign and malignant soft tissue tumors

2020 ◽  
Vol 93 (1115) ◽  
pp. 20191035
Author(s):  
Seul Ki Lee ◽  
Won-Hee Jee ◽  
Chan Kwon Jung ◽  
Yang-Guk Chung
Keyword(s):  
Soft Tissue ◽  
Subgroup Analysis ◽  
Malignant Tumors ◽  
Soft Tissue Tumors ◽  
Multiparametric Mri ◽  
Time Signal ◽  
Dce Mri ◽  
Malignant Soft Tissue Tumors ◽  
Benign Soft Tissue Tumors ◽  
Malignant Soft Tissue

Objective: To evaluate multiparametric MRI for differentiating benign and malignant soft tissue tumors. Methods: This retrospective study included 67 patients (mean age, 55 years; 18–82 years) with 35 benign and 32 malignant soft tissue tumors. Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI)-derived parameters (D, D*, f), apparent diffusion coefficient (ADC), and dynamic contrast-enhanced (DCE)-MRI parameters (Ktrans, Kep, Ve, iAUC) were calculated. Myxoid and non-myxoid soft tissue tumors were divided for subgroup analysis. The parameters were compared between benign and malignant tumors. Results: ADC and D were significantly lower in malignant than benign soft tissue tumors (1170 ± 488 vs 1472 ± 349 µm2/s; 1132 ± 500 vs 1415 ± 374 µm2/s; p < 0.05). Ktrans, Kep, Ve, and iAUC were significantly different between malignant and benign soft tissue tumors (0.209 ± 0.160 vs 0.092 ± 0.067 min−1; 0.737 ± 0.488 vs 0.311 ± 0.230 min−1; 0.32 ± 0.17 vs 0.44 ± 0.28; 0.23 ± 0.14 vs 0.12 ± 0.09, p < 0.05, respectively). ADC (0.752), D (0.742), and Kep (0.817) had high AUCs. Subgroup analysis showed that only Ktrans, and iAUC were significantly different in myxoid tumors, while, ADC, D, Ktrans, Kep, and iAUC were significantly different in non-myxoid tumor for differentiating benign and malignant tumors. D, Kep, and iAUC were the most significant parameters predicting malignant soft tissue tumors. Conclusion: Multiparametric MRI can be useful to differentiate benign and malignant soft tissue tumors using IVIM-DWI and DCE-MRI. Advances in knowledge: 1. Pure tissue diffusion (D), transfer constant (Ktrans), rate constant (Kep), and initial area under time–signal intensity curve (iAUC) can be used to differentiate benign malignant soft tissue tumors. 2. Ktrans and iAUC enable differentiation of benign and malignant myxoid soft tissue tumors.

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.

scholarly journals Soft Tissue Tumor

2021 ◽  
Vol 1 (12) ◽  
pp. 831-844
Author(s):  
Anindhita Pangestika ◽  
Lalu Wisnu R Danu N
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
Malignant Tumors ◽  
Fibrous Tissue ◽  
Soft Tissue Tumors ◽  
Benign Tumors ◽  
Environmental Carcinogens ◽  
Benign Soft Tissue Tumors ◽  
Malignant Lesions ◽  
Chronic Lymphedema

Soft tissue tumors are a heterogeneous group of benign and malignant lesions that develop from a variety of nonepithelial, extraskeletal elements, including adipose tissue, smooth and skeletal muscle, tendons, cartilage, fibrous tissue, blood vessels, and lymphatic structures. The writing of this article includes various sources originating from scientific journals and government guidelines and related agencies. Source searches were carried out on online portals for journal publications such as Med Scape Google Scholar (scholar.google.com) and the National Centre for Biotechnology Information/NCBI (ncbi.nlm.nih.gov), with the keyword “Sensoric Nerve Trauma”. Soft tissue tumors (STT) can be benign or malignant, and benign soft tissue tumors are more common than malignant tumors with a ratio of 100: 1. In a study of 93 cases of soft tissue tumors, it was found that the incidence of benign tumors was 75.2% and malignant tumors were 24.8%. Soft tissue tumors are associated with genetic conditions, radiation, chronic lymphedema, environmental carcinogens, and infections.

scholarly journals Hand tumors: A review of 186 patients at a single institute

2021 ◽  
Vol 29 (1) ◽  
pp. 230949902199399
Author(s):  
Taketsugu Fujibuchi ◽  
Hiroshi Imai ◽  
Joji Miyawaki ◽  
Teruki Kidani ◽  
Hiroshi Kiyomatsu ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Clinical Features ◽  
Malignant Tumors ◽  
Proximal Phalanx ◽  
Delayed Diagnosis ◽  
Ring Finger ◽  
Soft Tissue Tumors ◽  
Body Parts ◽  
Maximal Diameter ◽  
Benign Soft Tissue Tumors

Purpose: The spectrum of diagnoses and clinical features of hand tumors differ from those of tumors in other body parts. However, only a few reports have comprehensively referenced the diagnosis and clinical features of hand tumors. This study aimed to elucidate the diagnostic distribution and the clinical features of hand tumors undergone surgery in our institute. Patients and methods: A total of 235 lesions in 186 patients diagnosed with hand tumors between 1978 and 2020 were reviewed. Age at surgery, gender, chief complaint, tumor location, and pathological diagnosis were analyzed. Results: There were 121 benign bone tumors, 98 benign soft tissue tumors, and 16 malignant tumors. Chondroma and tenosynovial giant cell tumor were common benign bone and soft tissue tumors at the proximal phalanx of the ring finger and the palm, respectively. Meanwhile, chondrosarcoma and synovial sarcoma were common malignant tumors at the dorsal part of the hand. Local pain and painless mass were the chief complaints in patients with benign bone and soft tissue tumors, respectively. Most patients with malignant tumors were referred after unplanned resection. When patients were classified into two categories by tumor size according to maximal diameter, tumors larger than 19 mm had a significantly higher risk of malignant ( p = 0.031) despite being smaller than other tumors in different body parts. Conclusion: When a tumor malignancy is suspected, the patient should be referred to a specialist to avoid unplanned resection or delayed diagnosis due to misdiagnosis. Knowing the distribution and clinical features should help in diagnosing hand tumors.

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

Color doppler ultrasonography of soft-tissue masses

1998 ◽  
Vol 39 (4) ◽  
pp. 421-426 ◽  
Author(s):  
R. Lagalla ◽  
A. Iovane ◽  
G. Caruso ◽  
M. Lo Bello ◽  
L. E. Derchi
Keyword(s):  
Soft Tissue ◽  
Doppler Ultrasonography ◽  
Color Doppler ◽  
Soft Tissue Tumors ◽  
Color Doppler Ultrasonography ◽  
Tissue Mass ◽  
Vascular Impedance ◽  
The Us ◽  
Soft Tissue Masses ◽  
Malignant Lesions

Purpose: To evaluate the capability of color Doppler ultrasonography to differentiate between benign and malignant soft-tissue tumors. Material and Methods: We reviewed the ultrasonographic (US) and color Doppler (CD) findings in 46 consecutive patients with a palpable periskeletal mass. The presence of 3 or more vascular hila and of tortuous and irregular internal vessels within the lesions was considered an indication of malignancy. The CD diagnosis was compared with that obtained at US alone. Results: The sensitivity and specificity of CD were respectively 85% and 92%; these values were higher than those obtained at US alone, respectively 75% and 50%. Arteriovenous malformations presented as lesions with large internal vessels that had low vascular impedance and were easily diagnosed. The waveform patterns within solid tumors were not specific. Conclusion: At present, US is commonly employed to confirm the presence of a suspected soft-tissue mass, to locate it accurately, and to indicate its nature. CD findings enhance the role of the US technique in such lesions. The combined use of US and CD can allow the differentiation of benign from malignant lesions, and thus provide a better basis for treatment.

scholarly journals Diagnostic Imaging and Management of Common Intra-articular and Peri-articular Soft Tissue Tumors and Tumorlike Conditions of the Knee

2018 ◽  
Vol 32 (04) ◽  
pp. 322-330 ◽  
Author(s):  
Andrea Evenski ◽  
James Stensby ◽  
Samuel Rosas ◽  
Cynthia Emory
Keyword(s):  
Soft Tissue ◽  
Diagnostic Imaging ◽  
Synovial Sarcoma ◽  
Synovial Chondromatosis ◽  
Soft Tissue Tumors ◽  
Pigmented Villonodular Synovitis ◽  
Villonodular Synovitis ◽  
Timely Manner ◽  
Malignant Lesions ◽  
Pigmented Villonodular

AbstractIntra-articular (IA) and peri-articular (PA) tumors of the knee are frequently encountered by orthopaedic surgeons. Nonetheless, due to the possibility of great morbidity and potential mortality, it is important to recognize and differentiate between benign and malignant lesions in a timely manner. Therefore, the purpose of this article is to provide a concise, practical, and updated review of commonly encountered IA and PA tumors including intratendinous gout, synovial chondromatosis, schwannoma, pigmented villonodular synovitis, and synovial sarcoma, and a detailed description of differentiating features to include various imaging modalities.

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