Evidence map›Paper›PMID 37526667›Full record

ArticleEuropean radiology2024

Clinical value of dual-energy CT for predicting occult metastasis in central neck lymph nodes of papillary thyroid carcinoma.

Wen Zhao, Shasha Shen, Tengfei Ke, Jie Jiang, Yingxia Wang, Xiaojie Xie, Xingyue Hu, Xiaonan Tang, Dan Han, Jun Chen

Abstract read
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In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Development of a nomogram for predicting extramural venous invasion in colon cancer using spectral CT multiparameter imaging.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

10 authors at 2 institutions in 1 country.

Wen ZhaoDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Shasha ShenDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Tengfei KeDepartment of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, China. 250169995@qq.com.
Jie JiangDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yingxia WangDepartment of Pathology, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiaojie XieDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xingyue HuDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiaonan TangDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China.
Dan HanDepartment of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming, China. kmhandan@sina.com.
Jun ChenGE Healthcare, Wuhan, China.
Kunming Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CN

Funding

National Natural Science Foundation of China 81960310The China Foundation for International Exchange 2021 SKY Imaging Research Found Z-2014-07-2101The Joint Program of Yunnan Provincial Scienceand Technology Department and Kunming Medical University 2019FE001 (-213)The Joint Program of Yunnan Provincial Scienceand Technology Department and Kunming Medical University 202001AY070001-201
6 · The paper itself

Abstract

objectivesTo predict the probability of occult lymph node metastasis (OLNM) in the central cervical by analyzing the dual-energy computed tomography (DECT) parameters derived from papillary thyroid carcinoma (PTC).

methodsData were retrospectively collected from patients with pathologically confirmed PTC who underwent arterial and venous phases of enhanced DECT with concurrent central neck lymph node dissection (CLND). Three clinical features, three shape-related features, and twenty-six DECT-derived parameters were measured. The univariate and multivariate analyses were applied to select the relevant parameters and develop the nomogram.

resultsA total 140 cases with negative diagnosis of cervical central lymph node metastases by preoperative evaluation were included, among which 88 patients with metastasis (OLNM +) and 52 patients without metastasis (OLNM -) were finally confirmed by pathology. (1) Anteroposterior/transverse diameter ratio (A/T) derived from the PTC focus had significant difference between the OLNM + and OLNM - groups (p < 0.05). (2) In the arterial phase, iodine concentration (IC

conclusionsDECT parameters combined with shape-related feature derived from PTC might be used as predictors of OLNM in the central neck. CLINICAL RELEVANCE STATEMENT: Preoperative imaging evaluation combining shape-related features and dual-energy CT parameters could serve as a reference to discern occult lymph node metastasis in central neck during the surgically planning of papillary thyroid carcinoma. KEY POINTS: • Papillary thyroid carcinoma (PTC) patients may have occult lymph node metastasis (OLNM) in the central neck, which is extremely difficult to find by preoperative imaging examination. • Dual-energy CT quantitative evaluation has higher accuracy than conventional CT and can predicting OLNM in the central neck of PTC. • Dual-energy CT quantitative parameters and morphology of PTC can serve as a useful tool in predicting OLNM in the central neck, and as a guide for personalized treatment.

Indexed as

Carcinoma, PapillaryIodineThyroid NeoplasmsHumansLymphatic MetastasisLymph NodesNeckRetrospective StudiesThyroid Cancer, PapillaryTomography, X-Ray ComputedIodineComputed tomographyLymph nodeLymph node metastasisPapillary thyroid carcinoma

Identifiers

PMID37526667
OpenAlexW4385442792

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.