AI Article Synopsis
- This study examines the presence of hemorrhage in renal cancer patients who also have chronic renal insufficiency, using MRI images.
- Thirteen patients with confirmed renal cancer underwent MRI scans, revealing that most tumors showed high signal intensity indicating intratumoral hemorrhage.
- MRI effectively depicted these cancers, particularly after gadolinium administration, but the presence of hemorrhage complicates assessment of cystic lesions in patients with renal insufficiency.
Article Abstract
This study describes the occurrence of hemorrhage in renal cancer in patients with chronic renal insufficiency as shown on MR images. Thirteen consecutive patients with chronic renal insufficiency who had histologically proven renal cancer and underwent MRI at 1.5 T were entered in the study. MR examinations included spoiled gradient echo (SGE) and T1-weighted fat-suppressed imaging pre- and postgadolinium administration. All renal cancers were well shown on MR images and were most clearly depicted on postgadolinium T1-weighted fat-suppressed images. Tumors in 12 of 13 patients had regions of high signal intensity on precontrast T1-weighted images. Histology demonstrated intratumoral hemorrhage in all 12 of these patients. Four hemorrhagic tumors were largely cystic on imaging studies. One of these cancers altered in appearance from largely cystic with extensive hemorrhage to largely solid with substantial enhancement after a 2.5-year interval. Renal cancers demonstrated minimal enhancement (11 patients) on early postgadolinium images and were minimally enhanced on delayed images in 10 of 13 tumors. Two renal cancers demonstrated intense enhancement. Renal cancers are well shown on MR images in patients with chronic renal insufficiency. Because of the common occurrence of hemorrhage into renal cancers in patients with renal insufficiency, caution should be exercised when evaluating hemorrhagic cystic lesions in these patients.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/jmri.1880070123 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning-Based Model Development and Validation Study.
J Med Internet Res
January 2025
Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.
Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.
pyAKI-An open source solution to automated acute kidney injury classification.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
View Article and Find Full Text PDFRelationship between oxidative balance indicators and Chronic Kidney Disease.
PLoS One
January 2025
Department of Nephrology, Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.
Introduction: Chronic Kidney Disease (CKD) is a growing global health issue, affecting approximately 9.1% of the world's population. Oxidative stress is believed to play a key role in CKD development, with indicators such as the Oxidative Balance Score (OBS), Pro-Oxidant-Antioxidant Balance (PAB), and Total Antioxidant Capacity (TAC) being of particular interest.
View Article and Find Full Text PDFMortality Risk Prediction Models for People With Kidney Failure: A Systematic Review.
JAMA Netw Open
January 2025
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.
Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.
Nirmatrelvir/ritonavir is a novel drug combination authorized by the US Food and Drug Administration for the treatment of coronavirus disease 2019 (COVID-19). This report describes the case of a patient with a prior history of kidney transplantation who received nirmatrelvir/ritonavir. In this case, sirolimus use was successfully stopped before nirmatrelvir/ritonavir treatment, and the nirmatrelvir/ritonavir trough concentration was determined.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!