Introduction

< bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Neuroscience Extension Package for ADaM in R Asset Library • admiralneuro {admiralneuro} joins the family as the latest < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>admiral {admiral} extension package. The package supports neurological disease areas, with the initial release of version 0.1.0 focusing on Alzheimer’s disease.

The package was born out of a collaboration between Eli Lilly, Roche, Cytel, GSK, and contributors from the wider industry. The package maintainer is Jian Wang (Eli Lilly).

Package Contents

In the 0.1.0 release, < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Neuroscience Extension Package for ADaM in R Asset Library • admiralneuro {admiralneuro} provides the following:

• Alzheimer’s-specific SDTM test data – this will be moved to < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>SDTM Test Data for the Pharmaverse Family of Packages • pharmaversesdtm {pharmaversesdtm} for the 0.2.0 release of < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Neuroscience Extension Package for ADaM in R Asset Library • admiralneuro {admiralneuro}
  • DM – Demographics dataset including age-appropriate Alzheimer’s patients
  • NV – Neurological exams dataset including amyloid and tau PET scans at baseline and two follow-up visits
  • SUPPNV– Supplemental neurological exams dataset including reference regions used for SUVR calculations
  • AG – Agents dataset including tracer details for amyloid and tau PET scans
• A brand-new function < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Compute Centiloid Value — compute_centiloid • admiralneuro admiralneuro::compute_centiloid() that computes Centiloid values based on amyloid PET tracer, SUVR pipeline, and reference region
• Two template programs for ADAPET and ADTPET
• A corresponding Creating ADTPET and ADAPET Vignette

compute_centiloid()

The Centiloid scale is a standardized quantitative measure for amyloid PET imaging that allows comparison between different tracers and analysis methods. It is calculated as:

where SUVR is a patient’s Standardized Uptake Value Ratio.

The < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Compute Centiloid Value — compute_centiloid • admiralneuro admiralneuro::compute_centiloid() function neatly computes Centiloid values from SUVR values given a specific combination of tracer, SUVR pipeline, and reference region in order to define slope and intercept. Currently, the following combinations of tracer, pipeline, and ref_region are supported:

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"
    )
  )

Alternatively, the user can specify a custom slope and intercept to the function using the custom_slope and custom_intercept parameters.

Note that support for additional combinations of tracers, pipelines, and reference regions may be added in the future as needed. See Iaccarino, L. et al., 2025 for more Centiloid transformation formulas.

Templates and Vignette

The < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Neuroscience Extension Package for ADaM in R Asset Library • admiralneuro {admiralneuro} package website contains the Creating ADTPET and ADAPET Vignette which guides users through the creation of both ADTPET (Tau PET) and ADAPET (Amyloid PET) ADaM datasets. This covers the use of the < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Compute Centiloid Value — compute_centiloid • admiralneuro admiralneuro::compute_centiloid() function above, as well as other therapeutic area-specific considerations for these BDS datasets such as derivation of criterion flag variables for Centiloid categories.

The vignette accompanies the ADTPET and ADAPET template scripts, which can be used as a starting point for creating these ADaM datasets. These scripts can be loaded and saved directly from the R console by running either of the following:

use_ad_template("ADTPET", package = "admiralneuro")

use_ad_template("ADAPET", package = "admiralneuro")

Conclusion

We’re excited to share the first release of < bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()"> < template>Neuroscience Extension Package for ADaM in R Asset Library • admiralneuro {admiralneuro} , and we hope it will be a valuable resource for those working in the Alzheimer’s disease space. We look forward to expanding the package in future releases to include alpha-synuclein pathology, a hallmark of Parkinson’s disease that is also found in other neurodegenerative conditions, including Alzheimer’s disease. We’ll also be adding functions to explore olfactory impairment, a fascinating early signal connected to both Parkinson’s disease and Alzheimer’s disease.

As with all pharmaverse packages, community feedback is not only welcomed but encouraged so that development remains in a direction that is relevant and useful! Please raise your feedback as issues or discussions in our GitHub repository or the pharmaverse slack.

@online{almond2025,
  author = {Almond, Miles},
  title = {Introducing Admiralneuro!},
  date = {2025-09-15},
  url = {https://pharmaverse.github.io/blog/posts/2025-09-15-introducing.../introducing_admiralneuro.html},
  langid = {en}
}