(SMEs add content and update the text below. Thank you.)
Parametric Mapping is a way to measure relaxation time for longitudinal and transverse relaxation time along with extracellular volume.
"T1 mapping stands for registering the course of recovery of longitudinal magnetism", this means the relaxation time after either the preparation step (saturation or inversion prepulse) followed by the acquisition of images at several time points during the T1 recover/relaxation. T1 value represents the time when recovery of magnetism has reached a percentage of its original state (63%). The recovery rate relates to the myocardial tissue properties that may be altered by pathological tissue presence (https://www.ahajournals.org/doi/10.1161/circresaha.116.307974). T1 mapping values increase with disease, and decrease post contrast.
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For extracellular volume - use percent. Normal is under 28.5%; Abnormal is in the mid 30%; mid 20%
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Post contrast longitudinal relaxation time is 400s to 500s
Post contrast transverse relaxation time is not done
Stopped here -
- Do we need timepoints for the T1 measurement or just the point in time of the final assessment?
- Does Cardiac Motion correction need to be indicated? If yes, does the type need to be indicated (such as the modified LL (MOLLI) sequence)? If yes, should this be reflected on each result? (Alana/Jon/Diane - I am considering a "Cardiac Motion Correction Indicator" NSV if this is important)
- Do we need a postcontrast indicator since those measurement differ? or is that what the terms "native T1" (no contrast) and "post-contrast T1" (after contrast) mean?
- Three is a "gold" standard noted as the "T1 mapping based on the acquisition of single images by a T1 turbo spin-echo sequence". It is noted as the ultimate T1 mapping method. Does the method need to be called out by what kind of acquisition sequence was used?
- For the location does the intracellular compartment need to be noted? (myocytes, fibroblasts, endothelial cells, smooth muscle cells)
- Does the cardiac phase for the specific T1 segment need to be noted? (atrial systole-diastole; isovolumentric contraction-diastole; rapid ejection-systole; reduced ejection-systole; isovolumetric relaxation-diastole; rapid ventricular filling-diastole)
- Is it important to record the "MRI scanner type" (Avanto, Siemens; Best, Philips; Acheiva, Philips), the "reception coil" (16-channel; 32-channel), "the T1 mapping sequence" (MOLLI; ShMOLLI)
The following example shows the parametric mapping (T1 mapping, T2 mapping, and extracellular volume) results for USUBJID 301. For brevity, after contrast a limited sample of tests were shown in this example.
The PR dataset shows the procedure of cardiac magnetic resonance imaging using the device associated with SPDEVID ABC001 and the PRREFID of 12345678. This information shows what CMR device is used for the procedure and the This example Procedures (PR) dataset includes the SPDEVID variable to show what device was used and the PRREFID variable to represent the accession number or procedure reference identifier associated with the specific procedure for USUBJID 301. The SPDEVID variable is was used to relate records by the device (in this case, the CMR machine). The Device Identifier (DI) dataset holds the device information detailslink this PR record to the device records.
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The Cardiovascular System Findings This example cardiovascular system findings (CV) dataset contains physiological and morphological findings related to the cardiovascular system so it holds the assessments from the parametric mapping. The CV dataset below shows how to represent longitudinal relaxation time, transverse relaxation time, and extracellular volume findings from CMR imaging. This example includes records for an unreadable image and an unperformed test. For these records, CVSTAT was populated with "NOT DONE" and CVREASND was populated with the reason the result was not provided or the procedure was not done. An NSV was used to represent image quality.
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The example Procedure Agents (AG) dataset shows details for the Gadolinium gadolinium-based contrast that was used for the procedure. In this example, the researchers did not collect the time of the contrast.
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DI holds The Device Identifiers (DI) domain is used to represent the device identifier information that describes the device used to produce the image that was the basis of the interpretation recorded in the CV domain. Characteristics in DI information details. Characteristics recorded in a DI dataset are those necessary to identify each device to the level of granularity necessary for the study (e.g., to the model level if knowing the actual unit is not necessary, to the serial number level if there is a need to distinguish among units).
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Fixed properties of devices identified in DI are represented in the Device Properties (DO) domain. The sponsor chose to keep the software version constant throughout the study. DO should contain properties that are important for interpreting the data.
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Changeable properties and parameters of the devices identified in DI are represented in the Device-in-Use (DU) domain. These settings could can be linked to the record records in the CV domain dataset by their shared SPDEVID and DTC values. For the sake of brevity, only 1 subject's parameters are shown. For more information on relating records, see SDTMIG v3.4 Section 8.2, Relating Peer Records.
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Notes for discussion
Interslice Distance - aligns with "Gap"
A minimum of 12 slices were performed, with 20 phases/slice... ?
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Number of excitations =2 for breath hold; 4 to 5 for free breathing (what would this DUTEST be?)
Radiofrequency flip angles were set between 50 degrees and 70 degrees
Grid tag spacing was 7 to 8 mm
TE/TR = 3ms/6.6 ms (by type of machiine)
views per segment = views/segment = 7 to 9 based on machine type (one was = 8)
Data analysis was via "standard planimetry techniques" using semi-automated computer software - this is where Medis is mentioned... is this perhaps what should be in ANMETH? Do we have a definition for "Feature Tracking" (in the Circum and Long Strain examples)
https://www.jacc.org/doi/abs/10.1016/j.jacc.2008.12.032 - article is for strain - find one for CMR and Parametric mapping .... if different parameters.
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The RELREC dataset is used to describe the relationship between 2 or more records in different domains. For more information on relating records see SDTMIG v3.4, Section 8.2.
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