Evidence map›Paper›PMID 42426670›Full record

ArticleBMC cancer2026

The value of dual-energy computed tomography quantitative parameters in differentiating the sensitivity of small lymph nodes to chemoradiotherapy in nasopharyngeal carcinoma.

Huan Dong, Zhiru Li, Heqing Huang, Ding Liang, Huisi Zhang, Junmei Song, Guangyao He, Min Kang

Abstract read
In one paragraph

Article in BMC cancer, 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

8 authors.

Huan Dong *Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China.
Zhiru Li *Department of Oncology, Sichuan Provincial People's Hospital·Qionglai Medical Center Hospital, No. 172 Xinglin Road, Chengdu, Sichuan, 611530, People's Republic of China.
Heqing HuangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China.
Ding LiangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China.
Huisi ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China.
Junmei SongDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China.
Guangyao HeGuangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, No. 22 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China. heguangyao@gxmu.edu.cn.
Min KangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, People's Republic of China. kangmin@gxmu.edu.cn.

Funding

Guangxi Medical High-level Talents Training Program; the Central Government Guide Local Science and Technology Development Projects No. ZY18057006Guangxi Science Fund for Distinguished Young Scholars No.2024JJG140004Innovation Project of Guangxi Graduate Education No. YCSW2024254, YCSW2025279, YCBZ2024125the Central Government Guide Local Science and Technology Development Projects No. ZY23055031the Guangxi Scholarship Fund of Guangxi Education Department of China and Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumors (Guangxi Medical University), and the Ministry of Education No. GKE-ZZ202507, GKE-ZZ202302the Joint Project on Regional High-Incidence Diseases Research of the Guangxi Natural Science Foundation No. 2023GXNSFBA026211, 2024GXNSFAA010026the National Natural Science Foundation of China No. 82160217, 82560224the National Natural Science Foundation of China No. 82272736, 82160467, 81460460, 81760542the Research Foundation of the Health Department of Guangxi Province, China No.S2018087the Research Foundation of the Science and Technology Department of Guangxi Province, China No. 2023GXNSFDA026009, 2016GXNSFAA380252, 2018AB61001
6 · The paper itself

Abstract

purposeTo evaluate the value of dual-energy computed tomography (DECT) quantitative parameters in differentiating the sensitivity of small lymph nodes (short-axis diameter 5-9 mm) that are negative on magnetic resonance imaging (MRI) to chemoradiotherapy in patients with nasopharyngeal carcinoma (NPC).

methodsNewly diagnosed NPC patients underwent DECT before treatment. The reference standard was the radiographic regression status of lymph nodes at 1 year after radiotherapy. They were classified into the effective disease (ED) group and the stable disease (SD) group based on their sensitivity to chemoradiotherapy. The characteristics of small lymph nodes, DECT parameters, and diagnostic value were compared.

resultsOne year after radiotherapy, 65 and 60 small lymph nodes were detected in the ED and SD groups, respectively; the proportion of small lymph nodes in the lower neck was higher in the ED group than in the SD group, and all such nodes achieved complete response (CR). Normalized iodine concentration (NIC), and slope of the energy spectrum (λHU) were independent risk factors for differentiating the sensitivity of small lymph nodes to chemoradiotherapy (P < 0.05). In the venous phase, λHU demonstrated the strongest diagnostic performance among all DECT parameters, with an area under the curve (AUC) of 0.803 and an optimal cutoff value of 4.465. The diagnostic power of the combined parameters was higher, especially when the short-axis diameter of small lymph nodes was 7-9 mm, the location was in the lower neck, and λHU was > 4.46 in the venous phase; the diagnostic power AUC of the combined parameters reached 0.870.

conclusionDECT quantitative parameters can effectively assess the sensitivity to chemoradiotherapy of MRI-negative small lymph nodes in NPC and aid in evaluating metastatic risk. λHU in the venous phase is the most reliable single DECT parameter. Combining short-axis diameter and nodal region provides an optimized reference for metastatic risk assessment of small lymph nodes.

Indexed as

ChemoradiotherapyLymph NodesNasopharyngeal CarcinomaNasopharyngeal NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedDual-energy computed tomographyLymph nodesNasopharyngeal carcinoma

Identifiers

PMID42426670
PMCPMC13637173

What Socratic holds

Textmetadata
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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 Socratic graph.