Ear, Nose, and Throat Diseases

Nervous System Diseases

Symptoms and General Pathology

All Conditions

Neoplasms

Skin and Connective Tissue Diseases

Infections

Respiratory Tract (Lung and Bronchial) Diseases

Rare Diseases

Hearing Loss

Deafness

Head and Neck Neoplasms

Cholesteatoma

Sinusitis

Hearing Disorders

Ear Diseases

Otorhinolaryngologic Diseases

Sensation Disorders

Neurologic Manifestations

Communicable Diseases

Respiratory Tract Infections

Paranasal Sinus Diseases

Nose Diseases

Respiratory Tract Diseases

Keratosis, Actinic

Keratosis

Skin Diseases

Data from 25-35 participants will be used to train an algorithm to generate synthetic CT images from MRI scans.

Data from remaining participants will be used to test the synthetic CT algorithm, by comparing true CT scans to synthetic CT scans made from MRI.

Participants receive a CT scan of the head as part of their regular care. A larger part of the head will be scanned than for standard care.

CT scan

Participants receive an MRI scan, specifically for the purpose of the study.

MRI scan

Synthetic CT scans will be generated from MRI scans, using the trained machine learning algorithm.

Synthetic CT scan

Paul Merkus, MD PhD

In case of surgical procedures in the head and neck region, MRI in combination with CT of the bone is often the standard modality to visualise bony landmarks for planning, navigation and risk assessment. An important downside of a CT scan is the associated radiation exposure, especially in children. An additional downside is the sedation or general anaesthesia needed for both the MRI and CT scan session in very young children. These downsides could be removed if the CT scan can be substituted by an MRI sequence that can provide the same information as CT. This project aims to determine the feasibility of recreating CT like images of the craniofacial bones from MRI images using machine learning techniques.

For all participants the same research activities will be performed (namely CT and MRI). The resulting paired MRI and CT scans will then be divided into a training set and a test set.

MRI-based Synthetic CT Images of the Head and Neck

Artificial Intelligence Driven Synthetic CT to Substitute CT Scans of the Head and Neck Region

Geometrical accuracy of the bone morphology by determining the mean surface distance in mm between the cortical edges on synthetic CT and on true CT.

Accuracy of the voxelwise radiodensity in Hounsfield Units and accuracy of the radiodensity contrast.

Accuracy of the visibility of clinically relevant anatomical landmarks on the synthetic CT images compared to the corresponding true CT images in the adult population, rated by experienced physicians on a 4-point Likert scale (1 = not visible, 4 = very well visible).

Evaluation of potential usefulness of the synthetic CT images for surgical planning, surgical navigation and diagnostic purposes, as evaluated by experienced physicians and dichotomised into "useful" or "not useful".

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization	Link
MRI-based Synthetic CT Images of the Head and Neck	NCT06016335	Imaging of Bony... Hearing Loss Cholesteatoma Sinusitis Head and Neck T...	CT scan MRI scan Synthetic CT sc...	18 Years -	Amsterdam UMC, location VUmc
MRI-based Synthetic CT Images of the Head and Neck	NCT06016335	Imaging of Bony... Hearing Loss Cholesteatoma Sinusitis Head and Neck T...	CT scan MRI scan Synthetic CT sc...	18 Years -	Amsterdam UMC, location VUmc

Spots Global Cancer Trial Database for imaging of bony structures of the head (various conditions)