ReviewRadiology. Imaging cancer2025
Modern Approaches for Thoracic Image Registration and Respiratory Motion Management in Oncology.
Review in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Quantitative assessment of lung mechanical properties in ARDS using X-ray computed tomography.Intensive care medicine experimental · 2026Review
- Group-Aware Registration for Lesion-Level Quantitative Motion Correction in Respiratory-Gated PET/CT Biomedical Imaging.Sensors (Basel, Switzerland) · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
This review explores modern image registration techniques in the context of managing respiratory-induced motion in the thoracic region. The respiratory cycle introduces anatomic variability that poses challenges for radiation therapy, breathing dynamics modeling, and diverse research applications. Conventional and advanced motion management strategies are presented, emphasizing the critical role of robust image registration. Emerging approaches such as multimodal and interpatient registration are discussed, alongside metrics for assessing registration quality. This review aims to enhance understanding of recent developments in image registration and thoracic motion management. Continued progress in modeling respiratory dynamics is essential to support advanced research applications and clinical innovation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.