Background: Data on treatment outcome and prognostic factors in patients with metastatic soft tissue sarcoma (STS) are limited in the literature.
Methods: A total of 119 patients with metastatic STS treated between June 2003 and December 2012 were analyzed for treatment outcome and prognostic factors.
Results: Median age was 37 years (range 2-72 years) with a male to female ratio of 1.5:1. Most common histologic subtypes were synovial sarcoma (36 %) and leiomyosarcoma (16 %). Median tumor size was 12 cm (range 1.6-30 cm). Twenty-four (20 %) patients were treated with multimodality therapy and 80 % patients received systemic chemotherapy alone. At a median follow-up of 10 months (range 1-66 months), the 2-year EFS and OS were 10 and 19 %, respectively, with a median EFS and OS of 6 and 10 months, respectively. Univariate analysis identified albumin ≤4 g/dl (p = 0.001), histologic subtypes other than synovial sarcoma (p = 0.02), non-extremity tumors (p = 0.03) and single modality treatment (p = 0.03) as factors predicting poor EFS; however, for OS, hemoglobin ≤10 g/dl (p = 0.02), tumor size >10 cm (p = 0.01) and single modality treatment (p = 0.04) were identified as poor prognostic factors. Multivariate analysis identified only serum albumin ≤4 g/dl (p = 0.002, HR 0.47, 95 % CI 0.29-0.75) associated with poor EFS; however, for OS, hemoglobin ≤10 g/dl (p = 0.009, HR 0.49, 95 % CI 0.29-0.83), tumor size >10 cm (p = 0.003, HR 2.11, 95 % CI 1.28-3.47) and single modality treatment (p = 0.01, HR 0.47, 95 % CI 0.25-0.86) emerged as poor prognostic factors.
Conclusions: Serum albumin, tumor size, hemoglobin and treatment modality affect survival in metastatic STS.
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http://dx.doi.org/10.1007/s12094-015-1369-9 | DOI Listing |
Neurosurg Rev
January 2025
Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.
View Article and Find Full Text PDFJpn J Radiol
January 2025
Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Purpose: To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.
Materials And Methods: Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF.
Genes Genomics
January 2025
Department of Smart Farm and Agricultural Industry, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Background: Next-generation sequencing has revolutionized genome science over the last two decades. Indeed, the wealth of sequence information on our genome has deepened our understanding on cancer. Cancer is a genetic disease caused by genetic or epigenetic alternations that affect the expression of genes that control cell functions, particularly cell growth and division.
View Article and Find Full Text PDFSurg Endosc
January 2025
Division of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Background: Both laparoscopic hepatectomy (LH) and robotic hepatectomy (RH) have been performed for tumors in nearly all liver segments. However, few studies have compared the outcomes of patients who underwent open hepatectomy (OH), LH and RH for the treatment of Barcelona Clinic Liver Cancer (BCLC) stage 0-A HCC in S7/8.
Methods: The clinical data of patients who underwent S7/8 resection for the treatment of BCLC stage 0-A HCC in the First Affiliated Hospital of Guangxi Medical University from July 2017 to July 2023 were retrospectively collected.
Sci Rep
January 2025
Department of Radiology, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku, 20521, Finland.
To assess the utility of IVIM parameters in evaluating uterine fibroid blood flow compared to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) derived blood flow. Sixteen premenopausal women with uterine fibroids were enrolled in this prospective study. Pelvic MRI scans were obtained for each subject, both with and without continuous intravenous infusion of oxytocin, known to decrease significantly uterine fibroid blood flow, to assess the changes in blood flow of uterine fibroids.
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