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The purpose of this study is to investigate the use of Magnetic Resonance Imaging (MRI) in the diagnostic and planning phase of radiotherapy for lung cancer and then introduce it into on-treatment imaging to improve the accuracy of radiotherapy. The study compromises of two phases, a technical phase followed by a clinical phase.
The aim of the technical phase is to develop and test MR sequences using a diagnostic scanner for use in the chest.
This will be carried out on a humanoid phantom and subsequently healthy volunteers.
The second phase will be a clinical phase to assess the accuracy of visualising all thoracic structures and the tumour in lung cancer patients using the defined MR sequences. It will compromise of 2 parts; the first part will involve 3 lung cancer patients as a pilot to enable the fine tuning of the sequences. The 2nd part will involve the evaluation of MRI in relation to planning CT in 12 lung cancer patients.
The hypothesis is that the use of 4D MRI will be more accurate in defining the tumour and intrathoracic structures thanachieved with the current standard of 4DCT to improve the accuracy and potentially the outcome of radical radiotherapy for non-small cell lung cancer.
Firstly, 3 stage III NSCLC patients receiving radiotherapy will be imaged, each for a single MRI session using TWIST and HASTE sequences. Initial sequence parameters will be those determined during the preceding technical development, but these will be fine-tuned to maximize tumour visualisation as this part of the study progresses, achieving the most practically useful trade-off between image resolution and noise, qualitatively and quantitatively assessed by a radiologist to determine and fine-tune image quality.
Then a further 12 patients will be imaged, each for two MRI sessions taking place during the radiotherapy schedule and separated by at least a week. Each MR session will consist of the following sequence: 15 seconds of TWIST, 15 seconds of HASTE, 90 seconds off, 15 seconds of TWIST and 15 seconds of HASTE. For each patient an on-treatment 4D cone-beam CT will also be collected (standard process), alongside the diagnostic quality planning 4DCT. Patient breathing coaching will be consistent between CT and MR, as will patient positioning; that is, patients will be imaged with their arms above their heads. The images will be analyzed to determine -
Answering question 3 will allow us to understand how fully 4D-MR images can be used within the treatment planning process. If outlined GTVs differ greatly between MRI and CT, then 4D-MRI might only provide more complete movement data; whereas if CT and MRI-based GTVs are similar the 4D-MRI may have more uses in treatment planning, particularly if some tumour regions are more clearly visible on MRI than on CT.
Question 4 will allow us to gauge the accuracy and precision of tumour definition on real-time single MRI slices, compared to definition on 4D-MR and 4D-CT. Answering this question is an essential precursor to the development of automatic algorithms
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study participants cohort I | Experimental | 3 stage III NSCLC patients receiving radiotherapy will be imaged, each for a single MRI session using TWIST and HASTE sequences. |
|
| Study participants cohort II | Experimental | 12 patients will be imaged, each for two MRI sessions taking place during the radiotherapy schedule and separated by at least a week. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI scan | Diagnostic Test | MRI analysis using TWIST and HASTE |
|
| Measure | Description | Time Frame |
|---|---|---|
| The aim of the technical phase is to develop and test MR sequences using a diagnostic scanner for use in the chest | Measure gross tumour volume (Gross Tumour Volume/ tumour) and normal structures. Two clinical oncologists are generate consensus based tumour motion envelopes on image datasets comprising anatomical planes oriented along each cardinal axis. Dice similarity index (percentage of overlap) and Haussdorf distance (maximum distance between the contours of two structures) are gross tumour volumes s outlined on single phases of 4D-CT and TWIST 4D-MR images, after rigidly registering the centres-of-mass of the two gross tumour volumes. | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| 4D MRI will be compared to 4D CT as an imaging methodology | Image outlines are merged to create a single representation of the tumour surface comparable or better than 4D-CT. This merged tumour surface will be compared to the standard 4D-CT tumour outline using Haussdorf and Dice metrics. An anthropomorphic phantom will also be 4D-CT and 4D-MR imaged and outlined, providing ground-truth data with which to determine the relative accuracies of CT and MRI. |
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Inclusion Criteria:
This study will recruit patients due to have radical external beam radiotherapy as per standard institutional practice.
The criteria specified in the institutional protocol are:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Maria Maguire, PhD | Contact | 0151 556 | 5321 | maria.maguire2@nhs.net |
| David Price | Contact | 0151 556 | 5906 | david.price9@nhs.net |
| Name | Affiliation | Role |
|---|---|---|
| Michael Brada, PhD, MD | Clatterbridge Cancer Centre | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Clatterbridge Cancer Centre NHS Foundation Trust | Recruiting | Bebington | CH634JY | United Kingdom |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | May 19, 2026 | |
| Reset | Jun 15, 2026 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| May 19, 2026 | Jun 15, 2026 |
| ID | Term |
|---|---|
| D009369 | Neoplasms |
| D008175 | Lung Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D008171 | Lung Diseases |
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| ID | Term |
|---|---|
| D008279 | Magnetic Resonance Imaging |
| ID | Term |
|---|---|
| D014054 | Tomography |
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| 4D MRI | Diagnostic Test | 4D MRI alongside 4D CT in lung cancer |
|
| 2 years |
| D012140 |
| Respiratory Tract Diseases |