Background: Pathological extramural vascular invasion (EMVI) is an independent prognostic factor in rectal cancer, but can also be identified on MRI-detected extramural vascular invasion (mrEMVI). We perform a meta-analysis to determine the risk of metastatic disease at presentation and after surgery in mrEMVI-positive patients compared with negative tumours.
Methods: Electronic databases were searched from January 1980 to March 2016. Conventional meta-analytical techniques were used to provide a summative outcome. Quality assessment of the studies was performed.
Results: Six articles reported on mrEMVI in 1262 patients. There were 403 patients in the mrEMVI-positive group and 859 patients in the mrEMVI-negative group. The combined prevalence of mrEMVI-positive tumours was 0.346(range=0.198-0.574). Patients with mrEMVI-positive tumours presented more frequently with metastases compared to mrEMVI-negative tumours (fixed effects model: odds ratio (OR)=5.68, 95% confidence interval (CI) (3.75, 8.61), z=8.21, df=2, P<0.001). Patients who were mrEMVI-positive developed metastases more frequently during follow-up (random effects model: OR=3.91, 95% CI (2.61, 5.86), z=6.63, df=5, P<0.001).
Conclusions: MRI-detected extramural vascular invasion is prevalent in one-third of patients with rectal cancer. MRI-detected extramural vascular invasion is a poor prognostic factor as evidenced by the five-fold increased rate of synchronous metastases, and almost four-fold ongoing risk of developing metastases in follow-up after surgery.
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http://dx.doi.org/10.1038/bjc.2017.99 | DOI Listing |
Sci Rep
December 2024
Department of Radiology, the Affiliated Taian City Central Hospital of Qingdao University, Tai'an, 271099, China.
This study aimed to investigate the correlation between baseline MRI features and baseline carcinoembryonic antigen (CEA) expression status in rectal cancer patients. A training cohort of 168 rectal cancer patients from Center 1 and an external validation cohort of 75 rectal cancer patients from Center 2 were collected. A nomogram was constructed based on the training cohort and validated using the external validation cohort to predict high baseline CEA expression in rectal cancer patients.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China.
Background: Deep learning has developed rapidly, and deep learning reconstruction (DLR) methods in magnetic resonance imaging (MRI) are gaining attention for their potential to improve efficacy in clinical work. The preoperative MRI assessment of rectal cancer is crucial for patient management, but the imaging quality is currently limited by a number of factors. DLR could be applied to the preoperative MRI assessment of primary rectal cancer, but research about its specific reliability is limited.
View Article and Find Full Text PDFFront Surg
November 2024
General Surgery Unit, Ospedale Santa Maria Delle Croci - AUSL Romagna, Ravenna, Italy.
Background: Rectal cancer (RC) commonly affects older patients. Total Neoadjuvant Therapy (TNT) has been introduced to improve local and systemic control of RC. The aim was to present real-world data of older patients receiving TNT followed by surgery after a frailty assessment and verify feasibility and safety of this approach.
View Article and Find Full Text PDFCureus
November 2024
General Surgery, James Cook University Hospital, Middlesbrough, GBR.
Introduction Magnetic resonance imaging (MRI) serves as a pivotal tool in the preoperative assessment of rectal cancer. This study aims to evaluate the accuracy of preoperative MRI pelvis in rectal cancer for locoregional staging, circumferential margin (CRM+), and vascular invasion (V1) with postoperative histopathological findings. Methods All patients who underwent preoperative staging MRI pelvis scanning for histology-proven primary rectal adenocarcinoma between January 2020 and July 2022 were included in this study.
View Article and Find Full Text PDFJ Histochem Cytochem
December 2024
Seattle Institute for Biomedical and Clinical Research, and Research Service, Department of Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
The pancreatic islet vasculature comprises microvascular endothelial cells surrounded by mural cells (pericytes). Both cell types support the islet by providing (1) a conduit for delivery and exchange of nutrients and hormones; (2) paracrine signals and extracellular matrix (ECM) components that support islet development, architecture, and endocrine function; and (3) a barrier against inflammation and immune cell infiltration. In type 2 diabetes, the islet vasculature becomes inflamed, showing loss of endothelial cells, detachment, and/or trans-differentiation of pericytes, vessel dilation, and excessive ECM deposition.
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