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Urinary Tract Calculi III: Medical Management01:30

Urinary Tract Calculi III: Medical Management

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The diagnosis of renal calculi involves several imaging techniques, including non-contrast CT scans and ultrasound. These methods help visualize kidney stones, assess their size and location, and detect possible obstructions. Additionally, Measuring urine pH is useful for diagnosing specific stone types, such as struvite (alkaline pH) and uric acid stones (acidic pH). Cystine stones are primarily linked to cystinuria, a genetic condition. A urinalysis helps detect blood in the urine (hematuria)...
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Urinary Tract Calculi VI: Surgical Management01:25

Urinary Tract Calculi VI: Surgical Management

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Procedures for Kidney StonesMedical intervention is necessary when kidney stones or renal calculi are too large to pass spontaneously (typically greater than 5 millimeters) when stones are accompanied by symptomatic infection (such as fever or pyelonephritis), when they impair kidney function, or when they cause persistent symptoms like severe pain, nausea, or urinary retention. Additionally, patients with only one kidney or those who cannot be treated with medical management also require...
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Kidney Structure01:45

Kidney Structure

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The kidneys are two large bean-shaped organs located in the upper abdomen. They filter the blood several times a day to remove toxins and rebalance water and electrolytes of the circulatory system via the renal veins. The kidneys receive blood directly from the heart via the renal arteries. These arteries enter the kidney at the hilum, the concave surface of the bean, where they branch and divide into smaller vessels and capillaries.
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Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

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Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
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Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Urinary Tract Calculi I: Introduction01:28

Urinary Tract Calculi I: Introduction

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Renal calculi, or kidney stones, are solid deposits of minerals and salts formed inside the kidneys. In medical terminology, "calculus" refers to the stone itself, while "lithiasis" describes the process of stone formation. Depending on their location within the urinary system, these stones may be classified as either urolithiasis, when situated within the urinary tract, or nephrolithiasis, when located within the kidneys. Each term signifies the specific impact of the stone.Predisposition...
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Erratum: A compact photonic resonator absorption microscope for point of care digital resolution nucleic acid molecular diagnostics: publisher's note.

Biomedical optics express·2021
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Related Experiment Video

Updated: Sep 5, 2025

Estimation of Urinary Nanocrystals in Humans using Calcium Fluorophore Labeling and Nanoparticle Tracking Analysis
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Assessing kidney stone composition using smartphone microscopy and deep neural networks.

Ege Gungor Onal1, Hakan Tekgul2

  • 1Department of Bioengineering University of Illinois at Urbana-Champaign Champaign Illinois USA.

BJUI Compass
|July 5, 2022
PubMed
Summary

This study introduces a smartphone-based system for classifying kidney stones using AI. The novel method accurately identifies stone types, offering a potential point-of-care diagnostic tool.

Keywords:
artificial intelligenceconvolutional neural networkkidney stonemachine learningpoint‐of‐care testingsmartphone microscopyurolithiasisurology

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Area of Science:

  • Urology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Accurate kidney stone composition analysis is crucial for effective treatment.
  • Current methods can be time-consuming and require specialized laboratory equipment.
  • Point-of-care diagnostics are needed for rapid clinical decision-making.

Purpose of the Study:

  • To develop and evaluate a point-of-care system for classifying kidney stone composition.
  • To utilize smartphone microscopy and deep convolutional neural networks (CNNs) for image recognition.
  • To enable rapid, accurate, and accessible kidney stone analysis.

Main Methods:

  • 37 human kidney stones (calcium oxalate, cystine, uric acid, struvite) were analyzed.
  • Fourier transform infrared spectroscopy (FTIS) classified stone composition.
  • Smartphone microscopy captured images of stones, processed by a novel CNN architecture.

Main Results:

  • The system achieved an overall accuracy of 88% and a weighted accuracy of 87%.
  • Average F1 scores for calcium oxalate, cystine, uric acid, and struvite stones were 0.82, 0.84, 0.85, and 0.85, respectively.
  • High positive predictive values and sensitivities were reported for all stone types.

Conclusions:

  • A rapid and accurate point-of-care method for classifying four major kidney stone types was demonstrated.
  • Smartphone microscopy combined with AI offers a promising approach for accessible kidney stone diagnostics.
  • This technology can support physicians in clinical decision-making for kidney stone management.