Evidence map›Paper›PMID 41441385›Full record

ArticleTomography (Ann Arbor, Mich.)2025

Quantitative Ultrasound Grayscale Analysis and Size of Benign and Malignant Solid Thyroid Nodules.

Salahaden R Sultan, Faisal Albin Hajji, Abdulrahman Alhazmi, Shahad Alamri, Abrar Alsulami, Ahmed Albukhari, Asseel Filimban, Bander Almutairi, Ahmad Albngali, Reham Kaifi and 4 more

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In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Salahaden R SultanDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0001-9981-6138
Faisal Albin HajjiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Abdulrahman AlhazmiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Shahad AlamriDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Abrar AlsulamiDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Ahmed AlbukhariDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0009-0007-0838-4087
Asseel FilimbanDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0009-0004-1188-7820
Bander AlmutairiDepartment of Radiology, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Ahmad AlbngaliDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-9304-7064
Reham KaifiCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah 22384, Saudi Arabia.ORCID 0000-0002-5490-6639
Mohammad KhayatDepartment of Radiology, King Fahad General Hospital, Ministry of Health, Al-Madinah 42351, Saudi Arabia.
Mohammed AlkharaijiDepartment of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh 11673, Saudi Arabia.ORCID 0000-0002-8135-0939
Mohammad KhalilDepartment of Radiology, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-5188-9626
Abrar AlfatniDepartment of Radiologic Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0002-5878-7737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound is the primary imaging modality for evaluating thyroid nodules, with echogenicity and nodule size serving as parameters for malignancy risk stratification. Though the TI-RADS classification system is standardized, interpretation varies among observers due to subjectivity, and can affect diagnostic consistency. This study aimed to evaluate the diagnostic and interobserver agreement of quantitative ultrasound gray-scale analysis and nodule area in differentiating benign from malignant solid thyroid nodules.

methodsThis retrospective study reviewed 600 patients who underwent thyroid ultrasound at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, in 2023 and 2024. Of these 600, 107 adult patients with 116 solid thyroid nodules (96 benign and 20 malignant) who subsequently underwent ultrasound-guided fine-needle aspiration were included in the final analysis. From B-mode ultrasound images, the grayscale median (GSM) values of each nodule and adjacent normal thyroid tissue were measured using Adobe Photoshop. The GSM ratio (GSMr) was calculated by dividing nodule GSM by normal tissue GSM. Nodule size, taken as cross-sectional area, was assessed using ImageJ software version 1.53. The Mann-Whitney

resultsMalignant nodules had significantly lower GSMr compared to benign nodules (malignant: median 0.76, IQR 0.27; benign: median 0.88, IQR 0.55,

conclusionsQuantitative ultrasound assessment of grayscale echogenicity and nodule area provides valuable diagnostic information for differentiating benign from malignant solid thyroid nodules. These objective measures may enhance diagnostic confidence and support more precise clinical decision-making in thyroid nodule evaluation.

Indexed as

Thyroid NeoplasmsThyroid NoduleAdultAgedBiopsy, Fine-NeedleDiagnosis, DifferentialFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesSaudi ArabiaThyroid GlandUltrasonographybenignmalignantquantitative analysisthyroid noduleultrasound imaging

Identifiers

PMID41441385
PMCPMC12736836

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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 OpenQuestion graph.