Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

Determination of Renal Drug Clearance: Graphical and Midpoint Methods

122
Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
122
Factors Affecting Renal Clearance: Renal Impairment01:17

Factors Affecting Renal Clearance: Renal Impairment

95
Renal dysfunction significantly impairs the renal clearance of drugs, leading to potential complications in drug therapy. Renal failure, which can be caused by various factors, poses a significant challenge in the elimination of drugs from the body.
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...
95
Renal Clearance01:23

Renal Clearance

939
The glomerular filtration rate (GFR) is a critical marker of kidney function, reflecting the efficiency of filtration by the glomeruli. Renal clearance of specific substances, such as inulin or creatinine, is commonly used to measure GFR.
Renal clearance refers to the volume of plasma cleared of a specific substance, such as creatinine, per unit of time. To measure clearance, urine samples are collected over a 24-hour period during each bladder voiding, followed by a single blood sample at the...
939
One-Compartment Open Model: Urinary Excretion Data and Determination of k01:11

One-Compartment Open Model: Urinary Excretion Data and Determination of k

175
The one-compartment open model leverages urinary excretion data to estimate renal clearance, which gauges the kidney's capacity to expel a drug. This method offers several benefits, including directly measuring drug elimination and assessing the kidney's contribution to overall drug clearance. However, this approach has limitations. It assumes sole renal excretion of the drug, which is not true for all drugs. Accurate urinary excretion and plasma drug concentration measurement can also...
175
Renal Drug Excretion: Glomerular Filtration01:02

Renal Drug Excretion: Glomerular Filtration

271
The kidney serves as the primary organ responsible for eliminating drugs and their metabolites from the body. This process, known as renal elimination, starts with glomerular filtration and results in urine formation. Each kidney houses millions of functional units called nephrons, where urine production occurs. A nephron has two main components: a renal corpuscle and a renal tubule.
Drugs gain access to the kidney via the renal artery, which progressively branches off into afferent arterioles....
271
Dialysis01:27

Dialysis

314
Renal failure occurs when the kidneys lose their ability to filter waste products from the blood effectively. It can be classified into two types: acute renal failure (ARF) and chronic renal failure (CRF).
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
314

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fermented feed-rumen microbiota axis mediates goat kid growth via microbial amino acid synthesis and ruminal epithelial energy metabolism.

NPJ biofilms and microbiomes·2026
Same author

Impact of Corneal Microbial Latency Detected by Metagenomic next-generation sequencing on Postoperative Recovery Following Keratorefractive lenticule extraction.

Journal of cataract and refractive surgery·2026
Same author

Box-Free Model Watermarks Are Prone to Black-Box Removal Attacks.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

A Label-Free Optical Biosensor Based on Ordered Porous Layer Interferometry for IgG Quantification in Milk.

Journal of AOAC International·2026
Same author

Synergistic Modulation of Ru-O Bond Covalency via Ba/Fe Co-Doping and Oxygen-Vacancy Engineering for Efficient Wide-pH Oxygen Evolution.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Feasibility of BMI-based sub-milliSievert low-dose CT in individualized detection of lung nodules.

European radiology·2026

Related Experiment Video

Updated: Jul 4, 2025

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
07:35

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

11.5K

Evaluation of renal function in chronic kidney disease using histogram analysis based on multiple diffusion models.

Guimian Zhong1,2, Luyan Chen2, Zhiping Lin3

  • 1The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.

The British Journal of Radiology
|January 31, 2024
PubMed
Summary
This summary is machine-generated.

Histogram analysis of diffusion metrics effectively predicts early kidney damage in chronic kidney disease (CKD). This non-invasive method offers accurate assessment of renal impairment using advanced diffusion models.

Keywords:
diffusionhistogram analysismagnetic resonance imagingrenal function

More Related Videos

Using 2-Photon Microscopy to Quantify the Effects of Chronic Unilateral Ureteral Obstruction on Glomerular Processes
11:47

Using 2-Photon Microscopy to Quantify the Effects of Chronic Unilateral Ureteral Obstruction on Glomerular Processes

Published on: March 4, 2022

2.3K
Assessment of Kidney Function in Mouse Models of Glomerular Disease
09:16

Assessment of Kidney Function in Mouse Models of Glomerular Disease

Published on: June 30, 2018

17.7K

Related Experiment Videos

Last Updated: Jul 4, 2025

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
07:35

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

11.5K
Using 2-Photon Microscopy to Quantify the Effects of Chronic Unilateral Ureteral Obstruction on Glomerular Processes
11:47

Using 2-Photon Microscopy to Quantify the Effects of Chronic Unilateral Ureteral Obstruction on Glomerular Processes

Published on: March 4, 2022

2.3K
Assessment of Kidney Function in Mouse Models of Glomerular Disease
09:16

Assessment of Kidney Function in Mouse Models of Glomerular Disease

Published on: June 30, 2018

17.7K

Area of Science:

  • Medical Imaging
  • Radiology
  • Nephrology

Background:

  • Chronic kidney disease (CKD) poses a significant health burden.
  • Early detection of renal impairment is crucial for timely intervention.
  • Non-invasive diagnostic methods are needed for assessing early-stage CKD.

Purpose of the Study:

  • To evaluate the diagnostic performance of histogram features from multiple diffusion models in predicting early renal impairment in CKD patients.
  • To compare the efficacy of different diffusion models (mono-exponential, IVIM, SEM, DKI) and their combined use.

Main Methods:

  • Diffusion-weighted imaging (DWI) was performed on 77 CKD patients and 30 healthy controls.
  • Multiple diffusion models (mono-exponential, IVIM, SEM, DKI) were applied to DWI data.
  • Histogram features of diffusion metrics were analyzed and correlated with renal function (eGFR, serum creatinine).

Main Results:

  • All diffusion models demonstrated high diagnostic efficiency in differentiating mild CKD from healthy controls.
  • The combined diffusion model achieved the highest AUC (0.861) for predicting early renal impairment.
  • Significant correlations were observed between histogram features and clinical markers of renal function.

Conclusions:

  • Histogram analysis of multiple diffusion metrics is a feasible approach for non-invasive assessment of early renal impairment in CKD.
  • Advanced diffusion models combined with histogram analysis provide accurate, non-invasive evaluation of early renal damage.
  • This technique holds promise for improved CKD management and monitoring.