Prediction of thyroid nodule properties and potential for malignant metastasis based on tumor pH.

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Title: Prediction of thyroid nodule properties and potential for malignant metastasis based on tumor pH.
Authors: Liang XQ; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China., Han T; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China., Ma N; Department of Thyroid and Breast Surgery, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830000, China., Mu T; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China., Yan HN; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China., Wu GY; Department of Thyroid Surgery, Xiamen University Affiliated Haicang Hospital, Xiamen, 361000, China., Wang JY; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China., Zhou H; Department of Nutrtion, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China. 14128155@qq.com.
Source: Thyroid research [Thyroid Res] 2026 Jan 21; Vol. 19 (1), pp. 4. Date of Electronic Publication: 2026 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 101469037 Publication Model: Electronic Cited Medium: Print ISSN: 1756-6614 (Print) Linking ISSN: 17566614 NLM ISO Abbreviation: Thyroid Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Prediction of thyroid nodule properties and potential for malignant metastasis based on tumor pH.
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  Data: <searchLink fieldCode="AU" term="%22Liang+XQ%22">Liang XQ</searchLink>; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China.<br /><searchLink fieldCode="AU" term="%22Han+T%22">Han T</searchLink>; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China.<br /><searchLink fieldCode="AU" term="%22Ma+N%22">Ma N</searchLink>; Department of Thyroid and Breast Surgery, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830000, China.<br /><searchLink fieldCode="AU" term="%22Mu+T%22">Mu T</searchLink>; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China.<br /><searchLink fieldCode="AU" term="%22Yan+HN%22">Yan HN</searchLink>; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China.<br /><searchLink fieldCode="AU" term="%22Wu+GY%22">Wu GY</searchLink>; Department of Thyroid Surgery, Xiamen University Affiliated Haicang Hospital, Xiamen, 361000, China.<br /><searchLink fieldCode="AU" term="%22Wang+JY%22">Wang JY</searchLink>; Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China.<br /><searchLink fieldCode="AU" term="%22Zhou+H%22">Zhou H</searchLink>; Department of Nutrtion, The First Affiliated Hospital of Shihezi University, The Second North Road, Shihezi, 832000, China. 14128155@qq.com.
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  Data: <searchLink fieldCode="JN" term="%22101469037%22">Thyroid research</searchLink> [Thyroid Res] 2026 Jan 21; Vol. 19 (1), pp. 4. <i>Date of Electronic Publication: </i>2026 Jan 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101469037 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1756-6614 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217566614%22">17566614 </searchLink><i>NLM ISO Abbreviation: </i>Thyroid Res <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1186/s13044-026-00284-9
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        Text: English
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      – TitleFull: Prediction of thyroid nodule properties and potential for malignant metastasis based on tumor pH.
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            NameFull: Liang XQ
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            NameFull: Han T
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            – D: 21
              M: 01
              Text: 2026 Jan 21
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              Y: 2026
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            – TitleFull: Thyroid research
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