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The package was born from a collaboration between Eli Lilly, Roche, Cytel, GSK and contributors from the wider industry. The package manager is Jian Wang (Eli Lilly).
In the 0.1.0 release,
- Alzheimer’s specific SDTM test data-this will be moved to
SDTM test data for the Pharmaverse Family of Packages • PharmaVerSesesdm {PharmaVerSesesdm} for the 0.2.0 delivery ofNeuroscience Extension -package for Adam in R Asset Library • Admiralneuro {Admiralnuro} - Dm -Demographic data set including Alzheimer’s patients suitable for age
- NV -Neurological exams dataset including amyloid and Tau Pet scans at the start and two follow-up visit
- Suppnv- Additional neurological exams dataset including reference areas used for SUVR calculations
- Agency -Agent -data set including tracer -details for amyloid and tau pet scans
- A brand new function
Compute Centiloid value – Compute_centiloid • Admiralneuro Admiralneuro :: Compute_centiloid () This calculates centiloid values based on amyloid PET Tracer, SUVR pipeline and reference area - Two template programs for Adapet And ADTPET
- A corresponding Create ADTPET and Adapet Vignette
compute_centiloid()
The centiloid scale is a standardized quantitative size for amyloid PET image formation that makes comparison between different tracers and analysis methods possible. It is calculated as:
Where SUVR is the standardized value -value of a patient.
The
| tracer | pipeline | Ref_ region | slope | intercept |
| 18f-floret paper | Fervent FBP SUVR -Pijpline | Cerebellum | 183.07 | -177.26 |
| 18f Florbetaben | Fervent FBB SUVR -Pijpline | Cerebellum | 156.06 | -148.13 |
| 18f-floret paper | Berkeley FBP SUVR -Pijpline | Cerebellum | 188.22 | -189.16 |
| 18f Florbetaben | Berkeley FBB SUVR -Pijpline | Cerebellum | 157.15 | -151.87 |
Here is an example of the function in action:
library(admiral)
library(admiralneuro)
library(dplyr)
adapet_example <- admiralneuro::admiralneuro_adapet %>%
filter(PARAMCD == "SUVRBFBB")
adapet_example <- adapet_example %>%
admiral::derive_param_computed(
by_vars = c(
get_admiral_option("subject_keys"),
exprs(ADT, ADY, VISIT)
),
parameters = c("SUVRBFBB"),
set_values_to = exprs(
AVAL = compute_centiloid(
tracer = "18F-Florbetaben",
pipeline = "BERKELEY FBB SUVR PIPELINE",
ref_region = "Whole Cerebellum",
suvr = AVAL
),
PARAMCD = "CENTLD",
PARAM = "Centiloid value derived from SUVR pipeline",
AVALU = "CL"
)
)| 01-701-1345 | Medium -sized | Centiloid value derived from suvr -pipeline | Protrusion | 186.0025 | Chat |
| 01-701-1345 | Medium -sized | Centiloid value derived from suvr -pipeline | Week 12 | 206,2748 | Chat |
| 01-701-1360 | Medium -sized | Centiloid value derived from suvr -pipeline | Protrusion | 164,6301 | Chat |
| 01-714-1288 | Medium -sized | Centiloid value derived from suvr -pipeline | Protrusion | 130,6857 | Chat |
| 01-714-1288 | Medium -sized | Centiloid value derived from suvr -pipeline | Week 12 | 150,9580 | Chat |
| 01-714-1288 | Medium -sized | Centiloid value derived from suvr -pipeline | Week 26 | 191.6599 | Chat |
As an alternative, the user can give up a custom slope and intercept the function using the Custom_slope And Custom_inter concept parameters.
Note that support for additional combinations of tracers, pipelines and reference areas in the future can be added if necessary. To see Iacaccarino, L. et al., 2025 For more centiloid transformation formulas.
Templates and vignette
The
The vignette accompanies the ADTPET and Adapet template scripts, which can be used as a starting point for making these Adam datas sets. These scripts can be loaded directly and stored from the R console by performing one of the following:
use_ad_template("ADTPET", package = "admiralneuro")use_ad_template("ADAPET", package = "admiralneuro")We are delighted to share the first release of
As with all pharmaceutical packages, community feedback is not only welcomed, but also encouraged so that the development remains in a direction that is relevant and useful! Story your feedback as problems or discussions in our Github -Repository or the Pharmaceutical.
#Introduction #Admiralneuro #RBloggers

