Publications by authors named "Xiao-Jing Peng"

Article Synopsis
  • A multicenter study aimed to develop a risk stratification system (RSS) using ultrasonography (US) and clinical details to predict the malignancy of soft tissue masses (STMs).
  • The study analyzed data from over 1,000 patients, categorizing STMs into six risk categories based on clinical and US characteristics, such as age and mass size.
  • The RSS showed strong diagnostic accuracy with AUC values of 0.883 and 0.849 in different test sets, indicating it could enhance communication among healthcare providers and improve treatment decisions for STM patients.
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Background: Accurate differentiation of extremity soft-tissue tumors (ESTTs) is important for treatment planning.

Purpose: To develop and validate an ultrasound (US) image-based radiomics signature to predict ESTTs malignancy.

Material And Methods: A dataset of US images from 108 ESTTs were retrospectively enrolled and divided into the training cohort (78 ESTTs) and validation cohort (30 ESTTs).

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Article Synopsis
  • - This study developed a new multiparametric clinic-ultrasomics nomogram aimed at better predicting the malignancy of extremity soft-tissue tumors (ESTTs) compared to traditional clinic-radiologic approaches.
  • - The research involved analyzing a dataset of 209 ESTTs using grayscale ultrasound, color Doppler flow imaging, and elastography, leading to the formulation of two different nomograms for performance comparison.
  • - Results showed that the multiparametric nomogram outperformed the conventional one across various stages of analysis, achieving higher predictive accuracy with AUC values that indicate better effectiveness in distinguishing malignant tumors.
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Objective: To assess the added value of contrast-enhanced ultrasound (CEUS) to conventional ultrasound in differentiating benign soft-tissue tumors from malignant ones.

Methods: 197 soft-tissue tumors underwent ultrasound examination with confirmed histopathology were retrospectively evaluated. The radiologists classified all the tumors as benign, malignant, or indeterminate according to ultrasound features.

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Recently, a novel group of spindle cell tumors defined by S100 and CD34 co-expression harboring recurrent fusions involving RET, RAF1, BRAF, and NTRK1/2 gene has been identified. Morphologically, they are characterized by monomorphic neoplasm cells, "patternless" growth pattern, stromal, and perivascular hyalinization, lacked necrosis. We reported a 52-year-old Chinese female patient with a S100 and CD34 co-expression sarcoma presenting in the right proximal forearm.

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Background: To explore the feasibility to identify malignant musculoskeletal soft tissue tumors using real-time shear wave elastography (rtSWE).

Methods: One hundred fifteen musculoskeletal soft tissue tumors in 92 consecutive patients were examined using both conventional ultrasonography (US) and rtSWE. For each patient, the rtSWE parameters including maximum elasticity (E), mean elasticity (E), minimum elasticity (E), standard deviation of the elasticity (E), and rtSWE image pattern were obtained.

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Article Synopsis
  • GSTO1, a member of the glutathione S-transferase family, is found to be up-regulated in aggressive cutaneous malignant melanoma (CMM) cells, but its specific role in this cancer type is not fully understood.
  • Analysis of data from Oncomine and TCGA revealed that higher GSTO1 expression correlates with poor patient prognosis, while laboratory experiments show that silencing GSTO1 inhibits CMM cell growth, increases cell apoptosis, and affects the cell cycle.
  • Overall, reducing GSTO1 levels leads to decreased proliferation and mobility of CMM cells by altering the expression of key proteins like PCNA and p53, suggesting potential clinical targets for treatment.
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