Evidence map›Paper›PMID 42385153›Full record

ArticleJournal of applied clinical medical physics2026

Synthetic CT-enabled weekly adaptive radiotherapy for nasopharyngeal carcinoma: Optimizing plan adaptation triggers through volumetric-dosimetric monitoring.

Zhenmei Cao, Chun Wu, Lixiang Han, Tingting Duan, Fengyu Zhang, Lansheng Zhang, Bin Wang, Weijie Lei, Xinye Ni

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 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

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.

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

9 authors.

Zhenmei CaoDepartment of Radiotherapy, Second People's Hospital of Changzhou, Third Affiliated Hospital of Nanjing Medical University, Changzhou, China.ORCID https://orcid.org/0000-0002-2402-9719
Chun WuDepartment of Radiation Oncology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Lixiang HanDepartment of Radiation Oncology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Tingting DuanDepartment of Radiation Oncology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Fengyu ZhangDepartment of Radiation Oncology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Lansheng ZhangDepartment of Radiation Oncology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Bin WangDepartment of Radiation Oncology, Xuzhou First People's Hospital, Xuzhou, China.
Weijie LeiDepartment of Radiation Oncology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xinye NiDepartment of Radiotherapy, Second People's Hospital of Changzhou, Third Affiliated Hospital of Nanjing Medical University, Changzhou, China.

Funding

National Key Research and Development Program of China 2025YFC2427600National Natural Science Foundation of China 62371243
6 · The paper itself

Abstract

background and purposeAnatomical changes during radiotherapy for nasopharyngeal carcinoma (NPC) frequently compromise target volume coverage while escalating dose delivery to organs at risk (OARs). In adaptive radiotherapy (ART), optimizing workflow efficiency to minimize clinical workload while maximizing patient benefit remains a fundamental challenge. Previous investigations inadequately tackled the critical aspects of identifying robust triggers and optimal timing for ART initiation. To bridge this gap, we quantified weekly sCT-derived volumetric and dosimetric changes on a C-arm linac workflow to determine robust, literature-based thresholds and optimal replanning time points for NPC ART. MATERIALS AND

methodsThis study analyzed 52 NPC patients undergoing VMAT. Weekly cone-beam CT (CBCT) scans (n = 312) were processed through ArcherQA using a CycleGAN-based sCT generation pipeline, which enabled automated segmentation and GPU-accelerated Monte Carlo dose recalculation. Longitudinal volumetric/dosimetric changes in targets and organs at risk (OARs) were tracked, with Spearman correlation analyzing variable relationships. Binary logistic regression and Receiver Operating Characteristic (ROC) curve analysis identified evidence-based triggers and optimal timing for adaptive replanning, enabling quantitative criteria for ART initiation while balancing precision and workflow efficiency.

resultsAnatomical changes drove dosimetric deviations: PGTVn (nodal targets) showed ≥8% volume reduction by week 2 (OR = 2.03, p = 0.006, AUC = 0.83), while PGTVp/PTV1 (primary targets) required ≥10% reduction by week 4 (AUC = 0.76). OAR correlations included left submandibular gland volume inversely linking to mean dose (peak r = -0.575 at week 3, p < 0.001) and delayed ipsilateral parotid atrophy (week 4). Triggers were defined: ≥15% contralateral parotid reduction at week 2 (AUC = 0.89) and ≥19% left submandibular gland loss at week 3 (AUC = 0.97). Pharyngeal constrictor analysis revealed that week 2 ≥4% volume loss predicted ≥0.9 Gy week 3 dose rise (AUC = 0.93).

conclusionWeekly sCT monitoring clarified the optimal timing for offline ART, revealing that structure-specific dosimetric changes necessitate distinct intervention windows, notably week 2 for nodal/contralateral parotid and week 4 for primary/ipsilateral parotid, providing a practical framework for prospective validation.

Indexed as

Cone-Beam Computed TomographyNasopharyngeal CarcinomaNasopharyngeal NeoplasmsOrgans at RiskRadiotherapy Planning, Computer-AssistedAdultAgedFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPrognosisRadiotherapy DosageRadiotherapy, Intensity-ModulatedRetrospective Studiesadaptive radiotherapydosimetric variationsnasopharyngeal carcinomareplanning triggerssynthetic CT

Identifiers

PMID42385153
PMCPMC13322649

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.