Evidence map›Paper›PMID 27134526›Full record

ReviewKorean journal of radiology

Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations.

Jung Hee Shin, Jung Hwan Baek, Jin Chung, Eun Joo Ha, Ji-Hoon Kim, Young Hen Lee, Hyun Kyung Lim, Won-Jin Moon, Dong Gyu Na, Jeong Seon Park and 15 more

2 registry-linked trialsAbstract readReviewConsensus Statement
In one paragraph

Review in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 462 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
462citing papers in PubMed, 10 pooled it
–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.

NCT05982821 nacompletednot on this map

A Multicenter Study of Artificial Intelligence-assisted Contrast-enhanced Ultrasound Diagnosis of Thyroid Nodules

TypeinterventionalSponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen UniversityRan2023 to 2026Enrolled1,955ConditionsThyroid NoduleArmsArtificial Intelligence
NCT06146764 recruitingnot on this map

Contrast-enhanced Ultrasound Improves the Diagnostic Performance of Sonographic Risk Stratification System of Thyroid Carcinoma: Comparison Between Integrated Scoring Method and Up-and-down Scoring Method

TypeobservationalSponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen UniversityRan2023 to 2026Enrolled800ConditionsThyroid Nodule, Thyroid CarcinomaArmsContrast-enhanced Ultrasound
3 · Its place in the literature

Who cites it

462 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  13. Predicting malignancy in thyroid AUS: ultrasonographic and clinical risk factors beyond ACR TI-RADS.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  14. Nodule size significantly affects the diagnostic value of chinese thyroid imaging reporting and data system: a multi-center retrospective study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  18. Elastography Enhances Diagnostic Accuracy of ACR TI-RADS in Thyroid Nodule Evaluation.The Journal of clinical endocrinology and metabolism · 2026
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402 more citing papers are in PubMed but not listed here.

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

25 authors.

Jung Hee ShinDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Jung Hwan BaekDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.
Jin ChungDepartment of Radiology, Ewha Womans University School of Medicine, Seoul 07985, Korea.
Eun Joo HaDepartment of Radiology, Ajou University School of Medicine, Suwon 16499, Korea.
Ji-Hoon KimDepartment of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea.
Young Hen LeeDepartment of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan 15355, Korea.
Hyun Kyung LimDepartment of Radiology, Soonchunhyang University Seoul Hospital, Seoul 04401, Korea.
Won-Jin MoonDepartment of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea.
Dong Gyu NaDepartment of Radiology, Human Medical Imaging and Intervention Center, Seoul 06524, Korea.
Jeong Seon ParkDepartment of Radiology, Hanyang University College of Medicine, Hanyang University Hospital, Seoul 04763, Korea.
Yoon Jung ChoiDepartment of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Korea.
Soo Yeon HahnDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Se Jeong JeonDepartment of Radiology, Wonkwang University Hospital, Iksan 54538, Korea.
So Lyung JungDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Dong Wook KimDepartment of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Korea.
Eun-Kyung KimDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Korea.
Jin Young KwakDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Korea.
Chang Yoon LeeDepartment of Radiology, Research Institute and Hospital, National Cancer Center, Goyang 10408, Korea.
Hui Joong LeeDepartment of Radiology, Kyungpook National University Hospital, Daegu 41944, Korea.
Jeong Hyun LeeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.
Joon Hyung LeeDepartment of Radiology, Dong-A University Medical Center, Busan 49201, Korea.
Kwang Hui LeeDepartment of Radiology, Newwoori Namsan Hospital, Busan 46224, Korea.
Sun-Won ParkDepartment of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea.
Jin Young SungDepartment of Radiology and Thyroid Center, Daerim St. Mary's Hospital, Seoul 07442, Korea.
Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of detection of thyroid nodules and carcinomas has increased with the widespread use of ultrasonography (US), which is the mainstay for the detection and risk stratification of thyroid nodules as well as for providing guidance for their biopsy and nonsurgical treatment. The Korean Society of Thyroid Radiology (KSThR) published their first recommendations for the US-based diagnosis and management of thyroid nodules in 2011. These recommendations have been used as the standard guidelines for the past several years in Korea. Lately, the application of US has been further emphasized for the personalized management of patients with thyroid nodules. The Task Force on Thyroid Nodules of the KSThR has revised the recommendations for the ultrasound diagnosis and imaging-based management of thyroid nodules. The review and recommendations in this report have been based on a comprehensive analysis of the current literature and the consensus of experts.

Indexed as

Elasticity Imaging TechniquesEndoscopic Ultrasound-Guided Fine Needle AspirationHumansImage Processing, Computer-AssistedLymph NodesMultidetector Computed TomographyPractice Guidelines as TopicSocieties, MedicalThyroid NeoplasmsThyroid NoduleUltrasonographyAblation techniquesLymph nodesMultidetector computed tomographyThyroid neoplasmThyroid noduleUltrasonography

Identifiers

PMID27134526
PMCPMC4842857

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.