Preoperative Evaluation of Myxofibrosarcoma: Prognostic Value and Reproducibility of Different Features on MRI

Mühlhofer, Heinrich; Gersing, Alexandra S.; Pfeiffer, Daniela; Wörtler, Klaus; Lenze, Ulrich; Lenze, Florian; Lallinger, Vincent; Haller, Bernhard; Burgkart, Rainer; Eisenhart-Rothe, Rüdiger von; Knebel, Carolin

doi:10.21873/anticanres.14596

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…The presence of perilesional edema and T2 heterogeneity of liposarcomas detected with MRI predicted pulmonary metastases in a previous study [48]. Moreover, perilesional edema detected on MR images of myxofibrosarcomas correlated significantly with a poor OS rate [49]. The "tail sign" describing tumor cell infiltrations extending from the primary tumor along the deep fascia has been shown to correlate with LPFS in myxofibrosarcoma and undifferentiated sarcomas [37].…”

Section: Discussionmentioning

confidence: 90%

Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Peeken

Neumann

Asadpour

et al. 2021

Cancers

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Background: In patients with soft-tissue sarcomas of the extremities, the treatment decision is currently regularly based on tumor grading and size. The imaging-based analysis may pose an alternative way to stratify patients’ risk. In this work, we compared the value of MRI-based radiomics with expert-derived semantic imaging features for the prediction of overall survival (OS). Methods: Fat-saturated T2-weighted sequences (T2FS) and contrast-enhanced T1-weighted fat-saturated (T1FSGd) sequences were collected from two independent retrospective cohorts (training: 108 patients; testing: 71 patients). After preprocessing, 105 radiomic features were extracted. Semantic imaging features were determined by three independent radiologists. Three machine learning techniques (elastic net regression (ENR), least absolute shrinkage and selection operator, and random survival forest) were compared to predict OS. Results: ENR models achieved the best predictive performance. Histologies and clinical staging differed significantly between both cohorts. The semantic prognostic model achieved a predictive performance with a C-index of 0.58 within the test set. This was worse compared to a clinical staging system (C-index: 0.61) and the radiomic models (C-indices: T1FSGd: 0.64, T2FS: 0.63). Both radiomic models achieved significant patient stratification. Conclusions: T2FS and T1FSGd-based radiomic models outperformed semantic imaging features for prognostic assessment.

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Section: Discussionmentioning

confidence: 90%

Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Peeken

Neumann

Asadpour

et al. 2021

Cancers

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“…In our experience, subcutaneous lesions may reveal perilesional edema likely owing to the lack of a pseudocapsule. Recently, Mühlhofer et al reported that perilesional diffuse edema was significantly correlated with a poor OS [28]. Contrast-enhanced MRI demonstrates nodular and peripheral enhancement of the solid components.…”

Section: Clinical Characteristicsmentioning

confidence: 99%

Biology and Management of High-Grade Myxofibrosarcoma: State of the Art and Future Perspectives

Nishio,

Nakayama

2023

Diagnostics

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Myxofibrosarcoma (MFS) is one of the most common adult soft tissue sarcomas, typically arising in the extremities. Histologically, MFS is classified into three grades: low, intermediate, and high. Histological grades correlate with distant metastases and tumor-associated mortality. The diagnosis of MFS is challenging due to a lack of well-characterized immunohistochemical markers. High-grade MFS displays highly complex karyotypes with multiple copy number alterations. Recent integrated genomic studies have shown the predominance of somatic copy number aberrations. However, the molecular pathogenesis of high-grade MFS remains poorly understood. The standard treatment for localized MFS is surgical resection. The systemic treatment options for advanced disease are limited. This review provides an updated overview of the clinical and imaging features, pathogenesis, histopathology, and treatment of high-grade MFS.

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“…4 By providing a reproducible and standardized approach to address these challenges effectively, stereotactic systems aim to reduce the interoperator and intraoperator outcome, variability of percutaneous procedures, and facilitate standardization, while shortening or reducing the impact of the learning curve to obtain such skills. 5 Intraoperative robotics has become a huge industry and standard of care for certain surgeries. Meanwhile, percutaneous applications have been investigated for more than two decades, with several models receiving regulatory approvals for specific indications recently.…”

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confidence: 99%

Innovations in Image-Guided Procedures: Unraveling Robot-Assisted Non-Hepatic Percutaneous Ablation

Chlorogiannis,

Charalampopoulos,

Bale

et al. 2024

Semin intervent Radiol

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Interventional oncology is routinely tasked with the feat of tumor characterization or destruction, via image-guided biopsy and tumor ablation, which may pose difficulties due to challenging-to-reach structures, target complexity, and proximity to critical structures. Such procedures carry a risk-to-benefit ratio along with measurable radiation exposure. To streamline the complexity and inherent variability of these interventions, various systems, including table-, floor-, gantry-, and patient-mounted (semi-) automatic robotic aiming devices, have been developed to decrease human error and interoperator and intraoperator outcome variability. Their implementation in clinical practice holds promise for enhancing lesion targeting, increasing accuracy and technical success rates, reducing procedure duration and radiation exposure, enhancing standardization of the field, and ultimately improving patient outcomes. This narrative review collates evidence regarding robotic tools and their implementation in interventional oncology, focusing on clinical efficacy and safety for nonhepatic malignancies.

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Preoperative Evaluation of Myxofibrosarcoma: Prognostic Value and Reproducibility of Different Features on MRI

Cited by 5 publications

References 33 publications

Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Biology and Management of High-Grade Myxofibrosarcoma: State of the Art and Future Perspectives

Innovations in Image-Guided Procedures: Unraveling Robot-Assisted Non-Hepatic Percutaneous Ablation

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