Evidence map›Paper›PMID 36042430›Full record

ArticleBMC cancer2022

Differential diagnosis of non-diffuse primary thyroid lymphoma and papillary thyroid carcinoma by ultrasound combined with computed tomography.

Chanjuan Peng, Dan Yi, Ying Zhou, Jincao Yao, Bo Chen, Chen Yang, Dong Xu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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  5. The potential value of ultrasound in predicting local refractory/relapse events in primary thyroid lymphoma patients.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
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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

7 authors at 2 institutions in 1 country.

Chanjuan Peng *Department of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan 7 Road, Gongshu District, Hangzhou, 310022, China.
Dan Yi *Department of Ultrasound, Shaoxing People's Hospital, Hangzhou, 312000, China.
Ying ZhouDepartment of Surgery, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, 050000, China.
Jincao YaoDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan 7 Road, Gongshu District, Hangzhou, 310022, China.
Bo ChenDepartment of Radiology, Shaoxing People's Hospital, Shaoxing, 312000, China.
Chen YangDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan 7 Road, Gongshu District, Hangzhou, 310022, China. yangchen@zjcc.org.cn.
Dong XuDepartment of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No.1 East Banshan 7 Road, Gongshu District, Hangzhou, 310022, China. xudong@zjcc.org.cn.
Shaoxing People's Hospital · CNUniversity of Chinese Academy of Sciences · CN

Funding

National Natural Science Foundation of China 82071946Zhejiang Province Public Welfare Technology Application Research Project GC22H187290Zhejiang Provincial Natural Science Foundation LSD19H180001Zhejiang Provincial Natural Science Foundation LZY21F030001
6 · The paper itself

Abstract

backgroundPrimary thyroid lymphoma (PTL) and papillary thyroid carcinoma (PTC) are both thyroid malignancies, but their therapeutic methods and prognosis are different. This study aims to explore their sonographic and computed tomography(CT)features, and to improve the early diagnosis rate.

methodsThe clinical and imaging data of 50 patients with non-diffuse PTL and 100 patients with PTC confirmed by pathology were retrospectively analysed.

resultsOf the 150 patients, from the perspective of clinical data, between non-diffuse PTL and PTC patients existed significant difference in age, maximum diameter of nodule, asymmetric enlargement and Hashimoto's thyroiditis (P < 0.001), but not in gender ratio, echo texture, cystic change and anteroposterior-to-transverse ratio (P > 0.05). With respect to sonographic feature, non-diffuse PTL patients had a higher proportion than PTC patients in markedly hypoechoic, internal linear echogenic strands, posterior echo enhancement, rich vascularity, lack of calcification and homogeneous enhancement, with statistically significant difference (P < 0.05), while PTC patients had a higher proportion than non-diffuse PTL patients in irregular border, circumscribed margin, capsular invasion and significant enhancement, with statistically significant difference (P < 0.001). With respect to CT feature, non-diffuse PTL patients were significantly different from PTC patients in the non-contrast CT value mean, venous phase CT value mean, enhanced intensity and homogeneity of nodules (P < 0.05). Multivariate logistic regression analysis showed that age (OR = 1.226, 95%CI:1.056 ~ 1.423, P = 0.007), posterior echo enhancement (OR = 51.152, 95%CI: 2.934 ~ 891.738, P = 0.007), lack of calcification (OR = 0.013, 95%CI: 0.000 ~ 0.400, P = 0.013) and homogeneous enhancement (OR = 0.020, 95%CI: 0.001 ~ 0.507, P = 0.018) were independent risk factors.

conclusionsSonographic and CT features of the presence of posterior echo enhancement, lack of calcification and homogeneous enhancement were valuable to distinguishing non-diffuse PTL from PTC.

Indexed as

LymphomaThyroid NeoplasmsDiagnosis, DifferentialHumansRetrospective StudiesThyroid Cancer, PapillaryTomography, X-Ray ComputedUltrasonographyCTPapillary thyroid carcinomaPrimary thyroid lymphomaSonography

Identifiers

PMID36042430
PMCPMC9429725
OpenAlexW4293686614

What OpenQuestion holds

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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 OpenQuestion graph.