A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic 131I scan in patients with papillary thyroid cancer.

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Title: A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic 131I scan in patients with papillary thyroid cancer.
Authors: Xue, Yuhang1 (AUTHOR), Zheng, Minghui2 (AUTHOR), Wu, Xinyu1 (AUTHOR), Li, Bo1 (AUTHOR), Ding, Xintao3 (AUTHOR), Liu, Shuxin1 (AUTHOR), Liu, Simiao4 (AUTHOR), Liu, Qiuyu2 (AUTHOR) qiuyuliu@zzu.edu.cn, Gao, Yongju1 (AUTHOR) gyongju@hotmail.com
Source: Scientific Reports. 11/5/2024, Vol. 14 Issue 1, p1-11. 11p.
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  Data: A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic <superscript>131</superscript>I scan in patients with papillary thyroid cancer.
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  Data: <searchLink fieldCode="AR" term="%22Xue%2C+Yuhang%22">Xue, Yuhang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Minghui%22">Zheng, Minghui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Xinyu%22">Wu, Xinyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Bo%22">Li, Bo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ding%2C+Xintao%22">Ding, Xintao</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Shuxin%22">Liu, Shuxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Simiao%22">Liu, Simiao</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Qiuyu%22">Liu, Qiuyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> qiuyuliu@zzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Yongju%22">Gao, Yongju</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gyongju@hotmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/5/2024, Vol. 14 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180734841
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        Value: 10.1038/s41598-024-78459-3
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      – TitleFull: A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic 131I scan in patients with papillary thyroid cancer.
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