Evidence map›Paper›PMID 42740817›Full record

ArticleiScience2026

Topology-preserved transformer-based CBCT-CT registration via normalized gradient field guidance for nasopharyngeal carcinoma.

Chengjian Xiao, Weixiang Lin, Feilong Tian, Ji Zhang, Ying Xiao, Minli Kang

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PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chengjian XiaoDepartment of Radiation Oncology, Ganzhou Cancer Hospital, Ganzhou 341000, People's Republic of China.
Weixiang LinDepartment of Radiation Oncology, Ganzhou Cancer Hospital, Ganzhou 341000, People's Republic of China.
Feilong TianDepartment of Radiation Oncology, Ganzhou Cancer Hospital, Ganzhou 341000, People's Republic of China.
Ji ZhangDepartment of Radiotherapy Center, Wenzhou Medical University First Affiliated Hospital, Shangcai Village, Wenzhou 325000, People's Republic of China.
Ying XiaoDepartment of Radiation Oncology, Ganzhou Cancer Hospital, Ganzhou 341000, People's Republic of China.
Minli KangDepartment of Radiation Oncology, Ganzhou Cancer Hospital, Ganzhou 341000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate deformable registration between planning CT (computed tomography) and cone-beam CT (CBCT) is essential for adaptive radiotherapy in nasopharyngeal carcinoma, but cross-modality intensity differences, low soft-tissue contrast, and CBCT artifacts complicate alignment. We propose NJTransMorph, an unsupervised transformer-based registration framework that integrates normalized gradient field loss and Jacobian determinant regularization to improve multimodal structural alignment and deformation plausibility. NJTransMorph was evaluated against VoxelMorph, UTSRMorph, and TransMorph on an internal cohort (

Indexed as

cone-beam computed tomographydeformable image registrationnasopharyngeal carcinomanormalized gradient fieldstransformer

Identifiers

PMID42740817
PMCPMC13571969

What OpenQuestion holds

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Registered trials

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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.