Pituitary & hypothalamus

Association between preoperative MRI radiomic features and methylation-defined phenotypes in non-functioning pituitary adenomas

PituitaryPublished Retrospective radiogenomic study

Authors' conclusion

Preoperative MRI radiomics was associated, at the group level, with a composite methylation-defined risk label previously associated with postoperative regrowth in the same source cohort.

Study context

Population
Patients with non-functioning pituitary adenomas (NFPAs) with preoperative gadolinium-enhanced T1-weighted MRI, single centre
Participants
74 patients
Exposure
High-risk vs low-risk methylation strata
Outcome
Binary discrimination between low-risk (k1/k2) and high-risk (k3/k4/k5) methylation strata by an L1-penalised logistic-regression radiomic model
Methodological detailssingle-centre, nested within a previously published methylation cohort, prespecified model, repeated stratified cross-validation, permutation testing
  • Single-centre
  • Nested within a previously published methylation cohort
  • Prespecified model
  • Repeated stratified cross-validation
  • Permutation testing

Main finding

As reported in the abstract

Discrimination of high-risk from low-risk tumours by prespecified radiomic model
Balanced accuracy
0.69 (95% CI 0.58-0.80)
AUC
0.73 (95% CI 0.61-0.84)
0.632 + AUC
0.71
Permutation p
p = 0.001

Observational data: associations, not effects.

Further findings

Individual radiomic features

False-discovery-rate significant features
7
Features surviving Bonferroni correction
4
Predominantly LoG-filtered first-order intensity features

SF1-restricted analysis

Balanced accuracy
0.73
AUC
0.70
p
P = 0.008

k3-focused analyses

k3-focused analyses were not significant

Clinical sex-lineage models

Clinical sex-lineage models classified at chance

Original publication

Association between preoperative MRI radiomic features and methylation-defined phenotypes in non-functioning pituitary adenomas. Pituitary. Published 31 August 2026. doi:10.1007/s11102-026-01755-w

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.