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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

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Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and

Yousif Widaatalla1,2, Tom Wolswijk2,3, Muhammad Danial Khan1,2

  • 1The D-Lab, Department of Precision Medicine, Maastricht University, 6200 MD Maastricht, The Netherlands.

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This study shows that selecting the optimal bin width (BW) in optical coherence tomography (OCT) radiomics enhances the stability of handcrafted radiomics features (HRFs). This improved stability leads to more accurate classification models for diagnosing skin conditions like basal cell carcinoma (BCC).

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Area of Science:

  • Dermatology
  • Medical Imaging
  • Radiomics

Background:

  • Radiomics is growing in medical imaging, but its use in optical coherence tomography (OCT) is underexplored.
  • Handcrafted radiomics features (HRFs) stability in OCT needs systematic evaluation.
  • The impact of bin width (BW) on HRF stability and diagnostic model performance is unclear.

Purpose of the Study:

  • To evaluate the repeatability and reproducibility of HRFs from OCT scans of benign nevi.
  • To examine how BW selection affects HRF stability.
  • To assess the impact of stable HRFs on a radiomics classification model for skin lesion diagnosis.

Main Methods:

  • Prospective study with 20 volunteers and 80 OCT scans of benign nevi.
  • Assessed HRF repeatability and reproducibility using concordance correlation coefficients (CCCs) across BWs (5-50).
  • Identified stable HRFs and used them to train a multiclass classifier for benign nevi, basal cell carcinoma (BCC), and Bowen's disease.

Main Results:

  • Optimal BW of 25 identified, balancing repeatability and textural detail capture.
  • Intermediate BWs (20-25) yielded 53 reproducible features.
  • Classifier using six stable HRFs achieved 90% accuracy (AUCs 0.96-0.94), outperforming conventional methods (76% accuracy, AUCs 0.86-0.80).

Conclusions:

  • BW selection is crucial for enhancing HRF stability in OCT radiomics.
  • A methodological framework for optimizing OCT radiomics preprocessing is provided.
  • Stable HRFs integrated into diagnostic models show OCT radiomics is a promising tool for non-invasive dermatologic diagnosis.