Background Peripheral T-cell lymphoma (PTCL) is an uncommon disease with poor clinical outcomes. Radiological reports on the survival of patients with PTCL are scarce. The purpose of this study is to investigate the prognostic value of CT findings to predict clinical outcomes in fifty-one patients with histologically proven PTCL. Patients and methods The clinical data and CT images of all patients were retrospectively reviewed. CT features including number of involvement sites, lesion size, shape, margin, density, peritumoral invasion, intratumoral necrosis, lymph node involvement, and degree of contrast enhancement were evaluated. Univariate and multiple logistic regression analysis were used to determine the association between the clinical outcome and radiologic factors. Results Multiple site involvement, an ill-defined margin with peritumoral invasion, inhomogeneous density, and intratumoral necrosis were found to be associated with poor outcomes in univariate analysis (P < 0.05). An ill-defined margin with peritumoral invasion, was identified as an independent risk sign by further multivariate logistic regression analysis (P < 0.05). The area under the ROC curve of this CT feature was 0.745 (P < 0.05). Conclusions An ill-defined margin with peritumoral invasion was a valuable prognostic factor to predict the worse clinical outcomes in patients with PTCL.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411030 | PMC |
http://dx.doi.org/10.2478/raon-2019-0005 | DOI Listing |
J Biomed Sci
March 2025
Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu Hsing Street, Taipei, 110, Taiwan.
Background: Glioblastoma multiforme (GBM) is an aggressive brain tumor with chemoresistant, immunosuppressive, and invasive properties. Despite standard therapies, including surgery, radiotherapy, and temozolomide (TMZ) chemotherapy, tumors inevitably recur in the peritumoral region. Targeting GBM-mediated immunosuppressive and invasive properties is a promising strategy to improve clinical outcomes.
View Article and Find Full Text PDFPathol Res Pract
February 2025
Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China. Electronic address:
Purpose: The objective of the current study is to investigate the clinicopathological and prognostic significance of Tertiary lymphoid structures (TLSs) in T1b ESCC.
Methods: A total of 291 T1b ESCC patients who underwent esophagectomy and regional lymphadenectomy between 2008 and 2017 were included. Hematoxylin and eosin staining slides were used to evaluate TLSs and pathological features.
Insights Imaging
March 2025
Department of Ultrasound, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Objectives: Recent advances in human epidermal growth factor receptor 2 (HER2)-targeted therapies have opened up new therapeutic options for HER2-low cancers. This study aimed to establish an ultrasound-based radiomics model to identify three different HER2 states noninvasively.
Methods: Between May 2018 and December 2023, a total of 1257 invasive breast cancer patients were enrolled from three hospitals.
Ann Surg Oncol
March 2025
UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Background: The standard surgical treatment of early stage vulvar carcinoma < 4 cm consists of resection of the vulvar tumor with sentinel lymph node (SLN) biopsy (Oonk in Int J Gynecol Cancer 33:1023-1043, 2023). Video-endoscopic inguinal SLN biopsy with indocyanine green (ICG) has been described (Capomacchia et al. in Int J Gynecol Cancer, 2024).
View Article and Find Full Text PDFFront Oncol
February 2025
Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.
Background: Microvascular invasion (MVI) is a key prognostic factor in solitary hepatocellular carcinoma (HCC), significantly affecting treatment decisions and outcomes. Early prediction of MVI is crucial for enhancing clinical decision-making.
Objectives: This study aimed to develop and evaluate four predictive models for MVI: one based on clinical indicators, one on MRI assessments, one using radiomics, and a combined model integrating all data across multiple medical centers.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!