Soft Tissue Sarcoma: From Diagnosis to Prognosis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2128

Special Issue Editor


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Special Issue Information

Dear Colleagues,

The diagnosis of a mesenchymal malignancy or sarcoma requires an arsenal of medical tools, including X-rays, computed tomography (CT) scans, magnetic resonance imaging (MRI), and positron emission tomography (PET) scans. However, the diagnosis or confirmation of a sarcoma still requires the involvement of one or more pathologists. The number of entities ranging from benign to malignant has increased enormously in the last few decades, and the current IARC/WHO classification lists dozens of categories. Recognized for their exceptional service to patients, hospitals, health insurance behemoths, and major corporations, the consultant histopathologists and databases of the Children’s Oncology Group (COG) and the International Society of Pediatric Oncology (SIOP) stand at the forefront of the advancements of pediatric and adult oncology. They pinpoint morphological aspects that have helped molecular biologists identify several pathways that may be targeted for therapy in precision medicine. All physicians involved in diagnosing sarcomas are vital to maintaining operational safety in healthcare and regulatory compliance with significant healthcare agencies. This Special Issue delves into the complexities of soft tissue sarcoma, exploring the journey from diagnosis to prognosis.

Through a compilation of expert insights and cutting-edge research, this Special Issue aims to deepen understanding, discuss best practices, and shed light on the latest advancements in this tumor's diagnosis, treatment, and prognosis. It is an invaluable resource for clinicians, researchers, and patients, fostering a shared commitment to conquer this elusive disease.

Prof. Dr. Consolato M. Sergi
Guest Editor

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Keywords

  • soft tissue
  • mesenchyme
  • bone
  • pathogenesis
  • miRNA
  • imaging
  • diagnosis
  • therapy

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Published Papers (2 papers)

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Research

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17 pages, 1035 KiB  
Article
Predicting the Malignancy Grade of Soft Tissue Sarcomas on MRI Using Conventional Image Reading and Radiomics
by Fabian Schmitz, Hendrik Voigtländer, Hyungseok Jang, Heinz-Peter Schlemmer, Hans-Ulrich Kauczor and Sam Sedaghat
Diagnostics 2024, 14(19), 2220; https://doi.org/10.3390/diagnostics14192220 - 5 Oct 2024
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Abstract
Objectives: This study aims to investigate MRI features predicting the grade of STS malignancy using conventional image reading and radiomics. Methods: Pretherapeutic imaging data regarding size, tissue heterogeneity, peritumoral changes, necrosis, hemorrhage, and cystic degeneration were evaluated in conventional image reading. [...] Read more.
Objectives: This study aims to investigate MRI features predicting the grade of STS malignancy using conventional image reading and radiomics. Methods: Pretherapeutic imaging data regarding size, tissue heterogeneity, peritumoral changes, necrosis, hemorrhage, and cystic degeneration were evaluated in conventional image reading. Furthermore, the tumors’ apparent diffusion coefficient (ADC) values and radiomics features were extracted and analyzed. A random forest machine learning algorithm was trained and evaluated based on the extracted features. Results: A total of 139 STS cases were included in this study. The mean tumor ADC and the ratio between tumor ADC to healthy muscle ADC were significantly lower in high-grade tumors (p = 0.001 and 0.005, respectively). Peritumoral edema (p < 0.001) and peritumoral contrast enhancement (p < 0.001) were significantly more extensive in high-grade tumors. Tumor heterogeneity was significantly increased in high-grade sarcomas, particularly in T2w- and contrast-enhanced sequences using conventional image reading (p < 0.001) as well as in the radiomics analysis (p < 0.001). Our trained random forest machine learning model predicted high-grade status with an area under the curve (AUC) of 0.97 and an F1 score of 0.93. Biopsy-underestimated tumors exhibited differences in tumor heterogeneity and peritumoral changes. Conclusions: Tumor heterogeneity is a key characteristic of high-grade STSs, which is discernible through conventional imaging reading and radiomics analysis. Higher STS grades are also associated with low ADC values, peritumoral edema, and peritumoral contrast enhancement. Full article
(This article belongs to the Special Issue Soft Tissue Sarcoma: From Diagnosis to Prognosis)
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Review

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11 pages, 1756 KiB  
Review
Giant Myxofibrosarcoma in the Lower Limb: An Overview of Diagnostic and Clinical Management
by Răzvan Ene, Alexandru Lisias Dimitriu, Ileana Peride, Mirela Țigliș, Elisa Georgiana Popescu, Eduard Cătălin Georgescu, Tiberiu Paul Neagu, Ionel Alexandru Checherita and Andrei Niculae
Diagnostics 2024, 14(12), 1298; https://doi.org/10.3390/diagnostics14121298 - 19 Jun 2024
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Abstract
Myxofibrosarcoma (MFS), an aggressive soft tissue sarcoma, is one of the undifferentiated pleomorphic sarcomas; it has a low incidence, affecting people in the sixth to eighth decades of life. It usually involves the extremities and is painless with a slow-growing pattern. Based on [...] Read more.
Myxofibrosarcoma (MFS), an aggressive soft tissue sarcoma, is one of the undifferentiated pleomorphic sarcomas; it has a low incidence, affecting people in the sixth to eighth decades of life. It usually involves the extremities and is painless with a slow-growing pattern. Based on the case of a 52-year-old female patient who presented with a painful, massive, rapid-growing, ulcerated tumor of the anterior surface of the left thigh, we performed a literature review regarding the current standard of care for patients with MFS. Computed tomography examination, followed by magnetic resonance imaging and surgical biopsy with histopathological examination, confirmed the diagnosis and the presence of lung and inguinal lymph node metastases. Due to the rapid-growing pattern and the local aggressiveness, our tumor board team recommended emergency excisional surgery, with subsequent reconstructive procedures followed by referral to an oncological center. This review emphasizes the importance of proper and rapid diagnosis, followed by multidisciplinary management, for MFS cases with atypical presentation and distal metastases to improve overall outcomes. Full article
(This article belongs to the Special Issue Soft Tissue Sarcoma: From Diagnosis to Prognosis)
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