Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification
The accurate identification and measurement of tumours is a key requirement in the study of tumour development in mouse models of human cancer. Disease burden in autochthonous tumours, such as those arising in the lung, cannot be accurately measured using standard tools such as callipers, and requir...
| Główni autorzy: | , , |
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| Format: | Dataset |
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University of Oxford
2018
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| _version_ | 1826268234685349888 |
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| author | Da Silva Gomes, A Kinchesh, P Smart, S |
| author_facet | Da Silva Gomes, A Kinchesh, P Smart, S |
| author_sort | Da Silva Gomes, A |
| collection | OXFORD |
| description | The accurate identification and measurement of tumours is a key requirement in the study of tumour development in mouse models of human cancer. Disease burden in autochthonous tumours, such as those arising in the lung, cannot be accurately measured using standard tools such as callipers, and requires non-invasive imaging. Lung imaging is further complicated in the mouse due to instabilities arising from the rapid but cyclic cardio-respiratory motions, and the desire to use free-breathing animals.
Female A/JOlaHsd mice were either injected (i.p.) with PBS 0.1ml/10g body weight (n=6), or 10% urethane/PBS 0.1ml/10g body weight (n=12) to induce autochthonous lung tumours. Cardio-respiratory synchronised bSSFP MRI, at 200 µm isotropic resolution was performed at 8, 13 and 18 weeks post induction. Scan times were routinely below 10 minutes and tumours were readily identifiable. Image registration allowed serial measurement of tumour volumes as small as 0.056 mm3.
We have developed a motion desensitised scan that enables high sensitivity MRI to be performed with high throughput capability of greater than 4 mice/hour. Image segmentation and registration allows serial measurement of individual, small tumours. This allows fast and reliable volumetric lung tumour monitoring in cohorts of 30 mice per imaging time point. As a result, adaptive trial study design can be achieved, optimizing experimental and welfare outcomes.
The *.nii image data in this dataset are in NIfTI-1.1 format (https://nifti.nimh.nih.gov/) and can be viewed with ImageJ (https://imagej.nih.gov/ij/).
The Content.txt file describes the *nii files. |
| first_indexed | 2024-03-06T21:06:33Z |
| format | Dataset |
| id | oxford-uuid:3ca8ba5b-a1a4-43fb-9305-e8d187d369d1 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T21:06:33Z |
| publishDate | 2018 |
| publisher | University of Oxford |
| record_format | dspace |
| spelling | oxford-uuid:3ca8ba5b-a1a4-43fb-9305-e8d187d369d12022-03-26T14:15:05ZCardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantificationDatasethttp://purl.org/coar/resource_type/c_ddb1uuid:3ca8ba5b-a1a4-43fb-9305-e8d187d369d1ORA DepositUniversity of Oxford2018Da Silva Gomes, AKinchesh, PSmart, SThe accurate identification and measurement of tumours is a key requirement in the study of tumour development in mouse models of human cancer. Disease burden in autochthonous tumours, such as those arising in the lung, cannot be accurately measured using standard tools such as callipers, and requires non-invasive imaging. Lung imaging is further complicated in the mouse due to instabilities arising from the rapid but cyclic cardio-respiratory motions, and the desire to use free-breathing animals. Female A/JOlaHsd mice were either injected (i.p.) with PBS 0.1ml/10g body weight (n=6), or 10% urethane/PBS 0.1ml/10g body weight (n=12) to induce autochthonous lung tumours. Cardio-respiratory synchronised bSSFP MRI, at 200 µm isotropic resolution was performed at 8, 13 and 18 weeks post induction. Scan times were routinely below 10 minutes and tumours were readily identifiable. Image registration allowed serial measurement of tumour volumes as small as 0.056 mm3. We have developed a motion desensitised scan that enables high sensitivity MRI to be performed with high throughput capability of greater than 4 mice/hour. Image segmentation and registration allows serial measurement of individual, small tumours. This allows fast and reliable volumetric lung tumour monitoring in cohorts of 30 mice per imaging time point. As a result, adaptive trial study design can be achieved, optimizing experimental and welfare outcomes. The *.nii image data in this dataset are in NIfTI-1.1 format (https://nifti.nimh.nih.gov/) and can be viewed with ImageJ (https://imagej.nih.gov/ij/). The Content.txt file describes the *nii files. |
| spellingShingle | Da Silva Gomes, A Kinchesh, P Smart, S Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification |
| title | Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification |
| title_full | Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification |
| title_fullStr | Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification |
| title_full_unstemmed | Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification |
| title_short | Cardio-Respiratory synchronized bSSFP MRI for high throughput in vivo lung tumour quantification |
| title_sort | cardio respiratory synchronized bssfp mri for high throughput in vivo lung tumour quantification |
| work_keys_str_mv | AT dasilvagomesa cardiorespiratorysynchronizedbssfpmriforhighthroughputinvivolungtumourquantification AT kincheshp cardiorespiratorysynchronizedbssfpmriforhighthroughputinvivolungtumourquantification AT smarts cardiorespiratorysynchronizedbssfpmriforhighthroughputinvivolungtumourquantification |