{"title":"3.0 T MRI T1定位和缩小视野DWI鉴别甲状腺乳头状癌与结节性甲状腺肿","authors":"Letian Yuan, Peng Zhao, Xiangtao Lin, Tianyi Yu, Ruiyuan Diao, Guqing Ning","doi":"10.1111/cpf.12803","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Reduced field-of-view diffusion-weighted imaging (rFOV-DWI) could be proved to quantitatively identify papillary thyroid carcinoma (PTC) and there is no literature regarding the use of T1 mapping to distinguish nodular goiter (NG) from PTC.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To compare T1 mapping with rFOV-DWI in differentiating NG and PTC.</p>\n </section>\n \n <section>\n \n <h3> Study Type</h3>\n \n <p>Prospective study.</p>\n </section>\n \n <section>\n \n <h3> Populations</h3>\n \n <p>Ninety-five hospitalized patients with thyroid nodules were included in the research.</p>\n </section>\n \n <section>\n \n <h3> Sequence</h3>\n \n <p>All subjects underwent T1-weighted imaging, T2-weighted imaging, rFOV-DWI and T1-mapping sequences.</p>\n </section>\n \n <section>\n \n <h3> Assessment</h3>\n \n <p>The apparent diffusion coefficient (ADC) and T1 values of each thyroid nodule were measured, respectively. According to pathological results, the thyroid nodules were divided into two groups: Group 1 (NG) and Group 2 (PTC).</p>\n </section>\n \n <section>\n \n <h3> Statistical Tests</h3>\n \n <p>An independent sample <i>t</i> test was used to evaluate the differences of ADC and T1 between the two groups. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of T1, ADC, Thyroid Imaging Reporting and Data System (TI-RADS) and T1 and ADC.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The T1 and ADC values of nodular goiter were both higher than those of PTC (<i>p</i> < 0.05). The area under the ROC curve (AUC) values of T1 and ADC were significantly higher than that of T1 or ADC alone (<i>p</i> < 0.05). The AUC value of T1 and ADC was as same as that of TI-RADS.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The combination of T1 mapping and rFOV-DWI could effectively differentiate NG from PTC. And it has at least the same diagnostic value as the ultrasound-based TI-RADS classification.</p>\n </section>\n </div>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"T1 mapping and reduced field-of-view DWI at 3.0 T MRI for differentiation of thyroid papillary carcinoma from nodular goiter\",\"authors\":\"Letian Yuan, Peng Zhao, Xiangtao Lin, Tianyi Yu, Ruiyuan Diao, Guqing Ning\",\"doi\":\"10.1111/cpf.12803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Reduced field-of-view diffusion-weighted imaging (rFOV-DWI) could be proved to quantitatively identify papillary thyroid carcinoma (PTC) and there is no literature regarding the use of T1 mapping to distinguish nodular goiter (NG) from PTC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>To compare T1 mapping with rFOV-DWI in differentiating NG and PTC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Study Type</h3>\\n \\n <p>Prospective study.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Populations</h3>\\n \\n <p>Ninety-five hospitalized patients with thyroid nodules were included in the research.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Sequence</h3>\\n \\n <p>All subjects underwent T1-weighted imaging, T2-weighted imaging, rFOV-DWI and T1-mapping sequences.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Assessment</h3>\\n \\n <p>The apparent diffusion coefficient (ADC) and T1 values of each thyroid nodule were measured, respectively. According to pathological results, the thyroid nodules were divided into two groups: Group 1 (NG) and Group 2 (PTC).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Statistical Tests</h3>\\n \\n <p>An independent sample <i>t</i> test was used to evaluate the differences of ADC and T1 between the two groups. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of T1, ADC, Thyroid Imaging Reporting and Data System (TI-RADS) and T1 and ADC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The T1 and ADC values of nodular goiter were both higher than those of PTC (<i>p</i> < 0.05). The area under the ROC curve (AUC) values of T1 and ADC were significantly higher than that of T1 or ADC alone (<i>p</i> < 0.05). The AUC value of T1 and ADC was as same as that of TI-RADS.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The combination of T1 mapping and rFOV-DWI could effectively differentiate NG from PTC. And it has at least the same diagnostic value as the ultrasound-based TI-RADS classification.</p>\\n </section>\\n </div>\",\"PeriodicalId\":10504,\"journal\":{\"name\":\"Clinical Physiology and Functional Imaging\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Physiology and Functional Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cpf.12803\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Physiology and Functional Imaging","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cpf.12803","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
T1 mapping and reduced field-of-view DWI at 3.0 T MRI for differentiation of thyroid papillary carcinoma from nodular goiter
Background
Reduced field-of-view diffusion-weighted imaging (rFOV-DWI) could be proved to quantitatively identify papillary thyroid carcinoma (PTC) and there is no literature regarding the use of T1 mapping to distinguish nodular goiter (NG) from PTC.
Purpose
To compare T1 mapping with rFOV-DWI in differentiating NG and PTC.
Study Type
Prospective study.
Populations
Ninety-five hospitalized patients with thyroid nodules were included in the research.
Sequence
All subjects underwent T1-weighted imaging, T2-weighted imaging, rFOV-DWI and T1-mapping sequences.
Assessment
The apparent diffusion coefficient (ADC) and T1 values of each thyroid nodule were measured, respectively. According to pathological results, the thyroid nodules were divided into two groups: Group 1 (NG) and Group 2 (PTC).
Statistical Tests
An independent sample t test was used to evaluate the differences of ADC and T1 between the two groups. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of T1, ADC, Thyroid Imaging Reporting and Data System (TI-RADS) and T1 and ADC.
Results
The T1 and ADC values of nodular goiter were both higher than those of PTC (p < 0.05). The area under the ROC curve (AUC) values of T1 and ADC were significantly higher than that of T1 or ADC alone (p < 0.05). The AUC value of T1 and ADC was as same as that of TI-RADS.
Conclusion
The combination of T1 mapping and rFOV-DWI could effectively differentiate NG from PTC. And it has at least the same diagnostic value as the ultrasound-based TI-RADS classification.
期刊介绍：
Clinical Physiology and Functional Imaging publishes reports on clinical and experimental research pertinent to human physiology in health and disease. The scope of the Journal is very broad, covering all aspects of the regulatory system in the cardiovascular, renal and pulmonary systems with special emphasis on methodological aspects. The focus for the journal is, however, work that has potential clinical relevance. The Journal also features review articles on recent front-line research within these fields of interest.
Covered by the major abstracting services including Current Contents and Science Citation Index, Clinical Physiology and Functional Imaging plays an important role in providing effective and productive communication among clinical physiologists world-wide.
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