Evidence map›Paper›PMID 35695317›Full record

ArticleKorean journal of radiology2022

Clinicoradiological Characteristics in the Differential Diagnosis of Follicular-Patterned Lesions of the Thyroid: A Multicenter Cohort Study.

Jeong Hoon Lee, Eun Ju Ha, Da Hyun Lee, Miran Han, Jung Hyun Park, Ji-Hoon Kim

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Korean journal of radiology, 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
1.3field-weighted citation impact, top 19% 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, 10 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Jeong Hoon LeeDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea.ORCID 0000-0002-1789-8270
Eun Ju HaDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea. radhej@naver.com.ORCID 0000-0002-1234-2919
Da Hyun LeeDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea.ORCID 0000-0001-7593-0403
Miran HanDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea.ORCID 0000-0001-7752-5858
Jung Hyun ParkDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea.ORCID 0000-0001-8636-569X
Ji-Hoon KimDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-6349-6950
Ajou University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePreoperative differential diagnosis of follicular-patterned lesions is challenging. This multicenter cohort study investigated the clinicoradiological characteristics relevant to the differential diagnosis of such lesions. MATERIALS AND

methodsFrom June to September 2015, 4787 thyroid nodules (≥ 1.0 cm) with a final diagnosis of benign follicular nodule (BN, n = 4461), follicular adenoma (FA, n = 136), follicular carcinoma (FC, n = 62), or follicular variant of papillary thyroid carcinoma (FVPTC, n = 128) collected from 26 institutions were analyzed. The clinicoradiological characteristics of the lesions were compared among the different histological types using multivariable logistic regression analyses. The relative importance of the characteristics that distinguished histological types was determined using a random forest algorithm.

resultsCompared to BN (as the control group), the distinguishing features of follicular-patterned neoplasms (FA, FC, and FVPTC) were patient's age (odds ratio [OR], 0.969 per 1-year increase), lesion diameter (OR, 1.054 per 1-mm increase), presence of solid composition (OR, 2.255), presence of hypoechogenicity (OR, 2.181), and presence of halo (OR, 1.761) (all

conclusionAlthough follicular-patterned lesions have overlapping clinical and radiological features, the distinguishing features identified in our large clinical cohort may provide valuable information for preoperative distinction between them and decision-making regarding their management.

Indexed as

Adenocarcinoma, FollicularThyroid NeoplasmsThyroid NoduleCohort StudiesDiagnosis, DifferentialHumansFollicular neoplasmMachine learningThyroid cancerThyroid nodulesUltrasonography

Identifiers

PMID35695317
PMCPMC9240300
OpenAlexW4282936542

What OpenQuestion holds

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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.