Evaluation of magnetic resonance imaging and deep learning-based synthetic computed tomography for calcified intradural tumors – importance of domain-specific training and validation of synthetic imaging methods for clinical application

BoneMRI generated synthetic CT is a promising, radiation-free alternative to conventional CT. Intradural tumors - even those with dense calcifications - were not visualized by synthetic CT images, highlighting that this novel technology is currently not able to capture lesions outside its main scope. Our analysis demonstrates powerfully that synthetic imaging must be cautiously applied to populations for which it was developed and validated, and that any extrapolation can be clinically misleading.

Authors

Institutions

Publication Details

Journal
Acta Neurochirurgica
Published
2025-12-11
DOI
https://doi.org/10.1007/s00701-025-06731-0
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of magnetic resonance imaging and deep learning-based synthetic computed tomography for calcified intradural tumors – importance of domain-specific training and validation of synthetic imaging methods for clinical application

Felix C. Stengel, Victor E. Staartjes, Gregor Fischer, Olaf Chan-Hi Kim et al.
Acta Neurochirurgica
Glioma Diagnosis and Treatment
article

Evaluation of magnetic resonance imaging and deep learning-based synthetic computed tomography for calcified intradural tumors – importance of domain-specific training and validation of synthetic imaging methods for clinical application

Felix C. Stengel, Victor E. Staartjes, Gregor Fischer, Olaf Chan-Hi Kim, Tobias J. Dietrich, Linda Bättig, Lorenzo Bertulli, Martin N. Stienen
article en

Abstract

BoneMRI generated synthetic CT is a promising, radiation-free alternative to conventional CT. Intradural tumors - even those with dense calcifications - were not visualized by synthetic CT images, highlighting that this novel technology is currently not able to capture lesions outside its main scope. Our analysis demonstrates powerfully that synthetic imaging must be cautiously applied to populations for which it was developed and validated, and that any extrapolation can be clinically misleading.

Acta NeurochirurgicaVol. 168(1)
University of St.Gallen (CH), University Hospital of Zurich (CH)
Openalex Percentile: Top 40%
Glioma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.