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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PolyU STAR</title><link>https://polyustar.github.io/</link><description>Recent content on PolyU STAR</description><generator>Hugo</generator><language>en</language><copyright>&copy; PolyU STAR, 2025</copyright><lastBuildDate>Fri, 03 Jan 2025 00:00:00 +0800</lastBuildDate><atom:link href="https://polyustar.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis</title><link>https://polyustar.github.io/publication/artificial-intelligence-performance-in-ultrasound-based-lymph-node-diagnosis-a-systematic-review-and-meta-analysis/</link><pubDate>Fri, 03 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/artificial-intelligence-performance-in-ultrasound-based-lymph-node-diagnosis-a-systematic-review-and-meta-analysis/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{han2025artificial,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Han, Xinyang and Qu, Jingguo and Chui, Man-Lik and Gunda, Simon Takadiyi and Chen, Ziman and Qin, Jing and King, Ann Dorothy and Chu, Winnie Chiu-Wing and Cai, Jing and Ying, Michael Tin-Cheung}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{BMC cancer}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">volume</span>=<span style="color:#e6db74">{25}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">number</span>=<span style="color:#e6db74">{1}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{73}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2025}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{Springer}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Jingguo QU</title><link>https://polyustar.github.io/member/jingguo-qu/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/jingguo-qu/</guid><description><p>Jingguo Qu received his bachelor&rsquo;s (BEng) and master&rsquo;s degrees (MSc) in civil engineering and computer science in 2018 and 2023, respectively. He is currently a Ph.D. student in the Department of Health Technology and Informatics, The Hong Kong Polytechnic University. His research interests include medical image processing, deep learning, and computer-aided diagnosis. He likes hiking and is a traveling enthusiast (Blog posts: <a href="https://jinggqu.github.io/posts/hiking-summary-2024/">2024</a>, <a href="https://jinggqu.github.io/posts/hiking-summary-2025">2025</a>), and he also is an amateur photographer (<a href="https://unsplash.com/@xvyn">Unsplash portfolio</a>).</p></description></item><item><title>Michael YING</title><link>https://polyustar.github.io/member/michael-ying/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/michael-ying/</guid><description><p>Prof. Michael YING was born in Hong Kong in 1971. He earned his Professional Diploma, MPhil, and PhD from the Hong Kong Polytechnic University in 1993, 1996, and 2002, respectively. After working as a diagnostic radiographer, he joined the university as an Assistant Professor in 1997, becoming a full Professor in 2020 and now serving as Associate Head of the Department of Health Technology and Informatics. He has authored over 160 journal papers, focusing on advanced ultrasound imaging and AI technologies. Prof. Ying is a Founding Fellow of the HKCRRT and was listed among the world&rsquo;s top 2% most-cited scientists in 2021, and received the gold medal in the 49th International Exhibition of Inventions of Geneva 2024.</p></description></item><item><title>Simon Takadiyi GUNDA</title><link>https://polyustar.github.io/member/simon-takadiyi-gunda/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/simon-takadiyi-gunda/</guid><description><p>Simon Takadiyi GUNDA is a Registered Diagnostic Radiographer and Sonographer, and an Educator in the Radiography discipline with the National University of Science and Technology (NUST) of Zimbabwe. He received his bachelors (Hons) degree in Radiography in 2006 and a master&rsquo;s degree in Radiography in 2013. He also holds a second master&rsquo;s degree in medical Ultrasonography in 2021 (NUST-Zimbabwe). Currently he is a PhD candidate with The Hong Kong Polytechnic University (SAR, China) and his research interests are in Ultrasonography assessment of haemodynamic and morphological features in post stroke patients, utilizing recent advances in Ultrasound imaging techniques.</p></description></item><item><title>Tonghuan XIAO</title><link>https://polyustar.github.io/member/tonghuan-xiao/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/tonghuan-xiao/</guid><description/></item><item><title>Xinyang HAN</title><link>https://polyustar.github.io/member/xinyang-han/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/xinyang-han/</guid><description><p>Xinyang HAN received her bachelor&rsquo;s degree (Bsc) in medical imaging technology from West China Medical School, Sichuan University in 2021. She is pursuing a doctoral degree in medical science at the Hong Kong Polytechnic University. Her research focuses on the application of AI in medical imaging and ultrasound-based computer-aided diagnosis.</p></description></item><item><title>Yuqi YANG</title><link>https://polyustar.github.io/member/yuqi-yang/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/yuqi-yang/</guid><description/></item><item><title>Ziman CHEN</title><link>https://polyustar.github.io/member/ziman-chen/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/member/ziman-chen/</guid><description><p>Ziman CHEN received a Doctor of Medicine from Sun Yat-sen University, China. He is currently a Postdoctoral Fellow at The Hong Kong Polytechnic University, focusing on the intersection of ultrasound technology and machine learning for clinical management. Dr. Chen&rsquo;s research interests include ultrasound-based diagnostics and machine learning applications in medical imaging. He has contributed to the development of computer-aided diagnostic models and is actively involved in ultrasound-based AI diagnostic software.</p></description></item><item><title>Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease</title><link>https://polyustar.github.io/publication/interpretable-machine-learning-model-integrating-clinical-and-elastosonographic-features-to-detect-renal-fibrosis-in-asian-patients-with-chronic-kidney-disease/</link><pubDate>Thu, 26 Dec 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/interpretable-machine-learning-model-integrating-clinical-and-elastosonographic-features-to-detect-renal-fibrosis-in-asian-patients-with-chronic-kidney-disease/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{chen2024interpretable,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Chen, Ziman and Wang, Yingli and Ying, Michael Tin Cheung and Su, Zhongzhen}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Journal of nephrology}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">volume</span>=<span style="color:#e6db74">{37}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">number</span>=<span style="color:#e6db74">{4}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{1027--1039}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{Springer}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Ultrasonic renal length as an indicator of renal fibrosis severity in non-diabetic patients with chronic kidney disease</title><link>https://polyustar.github.io/publication/ultrasonic-renal-length-as-an-indicator-of-renal-fibrosis-severity-in-non-diabetic-patients-with-chronic-kidney-disease/</link><pubDate>Tue, 19 Nov 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/ultrasonic-renal-length-as-an-indicator-of-renal-fibrosis-severity-in-non-diabetic-patients-with-chronic-kidney-disease/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{chen2024ultrasonic,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Ultrasonic renal length as an indicator of renal fibrosis severity in non-diabetic patients with chronic kidney disease}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Chen, Ziman and Jiang, Jun and Gunda, Simon Takadiyi and Han, Xinyang and Wu, Chaoqun and Ying, Michael Tin Cheung and Chen, Fei}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Clinical and Experimental Nephrology}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{1--9}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{Springer}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images</title><link>https://polyustar.github.io/publication/assessing-the-feasibility-of-chatgpt-4o-and-claude-3-opus-in-thyroid-nodule-classification-based-on-ultrasound-images/</link><pubDate>Fri, 11 Oct 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/assessing-the-feasibility-of-chatgpt-4o-and-claude-3-opus-in-thyroid-nodule-classification-based-on-ultrasound-images/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{chen2024assessing,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Chen, Ziman and Chambara, Nonhlanhla and Wu, Chaoqun and Lo, Xina and Liu, Shirley Yuk Wah and Gunda, Simon Takadiyi and Han, Xinyang and Qu, Jingguo and Chen, Fei and Ying, Michael Tin Cheung}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Endocrine}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{1--9}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{Springer}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography</title><link>https://polyustar.github.io/publication/improving-the-diagnostic-strategy-for-thyroid-nodules-a-combination-of-artificial-intelligence-based-computer-aided-diagnosis-system-and-shear-wave-elastography/</link><pubDate>Mon, 07 Oct 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/improving-the-diagnostic-strategy-for-thyroid-nodules-a-combination-of-artificial-intelligence-based-computer-aided-diagnosis-system-and-shear-wave-elastography/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{chen2024improving,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Chen, Ziman and Chambara, Nonhlanhla and Lo, Xina and Liu, Shirley Yuk Wah and Gunda, Simon Takadiyi and Han, Xinyang and Ying, Michael Tin Cheung}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Endocrine}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{1--14}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{Springer}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>The Diagnostic Accuracy of Transcranial Color-Coded Doppler Ultrasound Technique in Stratifying Intracranial Cerebral Artery Stenoses in Cerebrovascular Disease Patients: A Systematic Review and Meta-Analysis</title><link>https://polyustar.github.io/publication/the-diagnostic-accuracy-of-transcranial-color-coded-doppler-ultrasound-technique-in-stratifying-intracranial-cerebral-artery-stenoses-in-cerebrovascular-disease-patients-a-systematic-review-and-meta-analysis/</link><pubDate>Fri, 01 Mar 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/the-diagnostic-accuracy-of-transcranial-color-coded-doppler-ultrasound-technique-in-stratifying-intracranial-cerebral-artery-stenoses-in-cerebrovascular-disease-patients-a-systematic-review-and-meta-analysis/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{gunda2024diagnostic,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{The diagnostic accuracy of transcranial color-coded Doppler ultrasound technique in stratifying intracranial cerebral artery stenoses in cerebrovascular disease patients: a systematic review and meta-analysis}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Gunda, Simon Takadiyi and Yip, Jerica Hiu-Yui and Ng, Veronica Tsam-Kit and Chen, Ziman and Han, Xinyang and Chen, Xiangyan and Pang, Marco Yiu-Chung and Ying, Michael Tin-Cheung}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Journal of clinical medicine}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">volume</span>=<span style="color:#e6db74">{13}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">number</span>=<span style="color:#e6db74">{5}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{1507}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{MDPI}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>A Comparative Study of Transcranial Color-Coded Doppler (TCCD) and Transcranial Doppler (TCD) Ultrasonography Techniques in Assessing the Intracranial Cerebral Arteries Haemodynamics</title><link>https://polyustar.github.io/publication/a-comparative-study-of-transcranial-color-coded-doppler-tccd-and-transcranial-doppler-tcd-ultrasonography-techniques-in-assessing-the-intracranial-cerebral-arteries-haemodynamics/</link><pubDate>Sat, 10 Feb 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/a-comparative-study-of-transcranial-color-coded-doppler-tccd-and-transcranial-doppler-tcd-ultrasonography-techniques-in-assessing-the-intracranial-cerebral-arteries-haemodynamics/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{gunda2024comparative,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{A comparative study of transcranial color-coded Doppler (TCCD) and transcranial Doppler (TCD) ultrasonography techniques in assessing the intracranial cerebral arteries haemodynamics}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Gunda, Simon Takadiyi and Ng, Tsam Kit Veronica and Liu, Tsz-Ying and Chen, Ziman and Han, Xinyang and Chen, Xiangyan and Pang, Marco Yiu-Chung and Ying, Michael Tin-Cheung}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Diagnostics}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">volume</span>=<span style="color:#e6db74">{14}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">number</span>=<span style="color:#e6db74">{4}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{387}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{MDPI}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Association of renal elasticity evaluated by real-time shear wave elastography with renal fibrosis in patients with chronic kidney disease</title><link>https://polyustar.github.io/publication/association-of-renal-elasticity-evaluated-by-real-time-shear-wave-elastography-with-renal-fibrosis-in-patients-with-chronic-kidney-disease/</link><pubDate>Sat, 10 Feb 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/association-of-renal-elasticity-evaluated-by-real-time-shear-wave-elastography-with-renal-fibrosis-in-patients-with-chronic-kidney-disease/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{chen2024association,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Association of renal elasticity evaluated by real-time shear wave elastography with renal fibrosis in patients with chronic kidney disease}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Chen, Ziman and Wang, Yingli and Ying, Michael Tin Cheung and Su, Zhongzhen and Han, Xinyang and Gunda, Simon Takadiyi}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{British Journal of Radiology}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">volume</span>=<span style="color:#e6db74">{97}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">number</span>=<span style="color:#e6db74">{1154}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{392--398}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">publisher</span>=<span style="color:#e6db74">{Oxford University Press}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Integrating shear wave elastography and estimated glomerular filtration rate to enhance diagnostic strategy for renal fibrosis assessment in chronic kidney disease</title><link>https://polyustar.github.io/publication/integrating-shear-wave-elastography-and-estimated-glomerular-filtration-rate-to-enhance-diagnostic-strategy-for-renal-fibrosis-assessment-in-chronic-kidney-disease/</link><pubDate>Tue, 02 Jan 2024 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/integrating-shear-wave-elastography-and-estimated-glomerular-filtration-rate-to-enhance-diagnostic-strategy-for-renal-fibrosis-assessment-in-chronic-kidney-disease/</guid><description><h2 id="citation">Citation</h2>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-bibtex" data-lang="bibtex"><span style="display:flex;"><span><span style="color:#a6e22e">@article</span>{chen2024integrating,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">title</span>=<span style="color:#e6db74">{Integrating shear wave elastography and estimated glomerular filtration rate to enhance diagnostic strategy for renal fibrosis assessment in chronic kidney disease}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">author</span>=<span style="color:#e6db74">{Chen, Ziman and Wang, Yingli and Gunda, Simon Takadiyi and Han, Xinyang and Su, Zhongzhen and Ying, Michael Tin Cheung}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">journal</span>=<span style="color:#e6db74">{Quantitative imaging in medicine and surgery}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">volume</span>=<span style="color:#e6db74">{14}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">number</span>=<span style="color:#e6db74">{2}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">pages</span>=<span style="color:#e6db74">{1766}</span>,
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">year</span>=<span style="color:#e6db74">{2024}</span>
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div></description></item><item><title>Development and Deployment of a Novel Diagnostic Tool Based on Conventional Ultrasound for Fibrosis Assessment in Chronic Kidney Disease</title><link>https://polyustar.github.io/publication/development-and-deployment-of-a-novel-diagnostic-tool-based-on-conventional-ultrasound-for-fibrosis-assessment-in-chronic-kidney-disease/</link><pubDate>Sun, 26 Mar 2023 00:00:00 +0800</pubDate><guid>https://polyustar.github.io/publication/development-and-deployment-of-a-novel-diagnostic-tool-based-on-conventional-ultrasound-for-fibrosis-assessment-in-chronic-kidney-disease/</guid><description/></item><item><title>Smart-CKD: a novel diagnostic platform for assessing moderate-to-severe renal fibrosis in chronic kidney disease</title><link>https://polyustar.github.io/project/ckd/</link><pubDate>Tue, 12 Jul 2016 16:10:22 +0200</pubDate><guid>https://polyustar.github.io/project/ckd/</guid><description><h2 id="githubpaperonline-app"><a href="https://github.com/PolyUSTAR/ckd">GitHub</a> <a href="https://www.academicradiology.org/article/S1076-6332(23)00091-0/fulltext">Paper</a> <a href="https://polyustar.github.io/ckd">Online APP</a></h2>
<p><img src="https://github.com/PolyUSTAR/ckd/raw/main/resource/demo.png" alt="Smart-CKD"></p>
<h2 id="abstract">Abstract</h2>
<h3 id="rationale-and-objectives">Rationale and Objectives</h3>
<p>Accurate identification of risk information about fibrosis severity is crucial for clinical decision-making and clinical management of patients with chronic kidney disease (CKD). This study aimed to develop an ultrasound (US)-derived computer-aided diagnosis tool for identifying CKD patients at high risk of developing moderate-severe renal fibrosis, in order to optimize treatment regimens and follow-up strategies.</p>
<h3 id="materials-and-methods">Materials and Methods</h3>
<p>A total of 162 CKD patients undergoing renal biopsies and US examinations were prospectively enrolled and randomly divided into training (n = 114) and validation (n = 48) cohorts. A multivariate logistic regression approach was employed to develop the diagnostic tool named S-CKD for differentiating moderate-severe renal fibrosis from mild one in the training cohort by integrating the significant variables, which were screened out from demographic characteristics and conventional US features via the least absolute shrinkage and selection operator regression algorithm. The S-CKD was then deployed as both an online web-based and an offline document-based, easy-to-use auxiliary device. In both the training and validation cohorts, the S-CKD&rsquo;s diagnostic performance was evaluated through discrimination and calibration. The clinical benefit of using S-CKD was revealed by decision curve analysis (DCA) and clinical impact curves.</p></description></item><item><title/><link>https://polyustar.github.io/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://polyustar.github.io/about/</guid><description><h1 id="sed-extemplo-conantur-et-cnosia-harundine-lyra">Sed extemplo conantur et Cnosia harundine lyra</h1>
<h2 id="agros-metitur-venatibus-catenis-quippe-honorem-tuorum">Agros metitur venatibus catenis quippe honorem tuorum</h2>
<p>Lorem markdownum finemque prunaque longe et sunt. Sed super aulaea in Paridis
noctisque cubile? Iacit coetus, vastatoremque dedit; Vidi magna, recurvatis
copia. Quod sit; per cingo tamen Hyperionis si vacat <strong>inclitus</strong> instabat
curaque arma saxea, naturaeque pondere quaeque aer!</p>
<ol>
<li>Agros apertum aliis dominaeque rapidus</li>
<li>Prima nulla est</li>
<li>Hortatibus voto</li>
</ol>
<h2 id="anum-istis-praefertur-est">Anum istis praefertur est</h2>
<p>Quaque coeptis lumina mea nuda dentes semine agitavit, caesique voluptas. Proque
priori vultus est colle fuit manet manibusque Liber vulnus famulosque memorante
dari. Aut quod ergo, oris simulasse. Ministros cogeret momordit aut tibi, posita
non inhaesit sede vulnera sontes Phoebeos, faenilibus non rursus.</p></description></item><item><title/><link>https://polyustar.github.io/approach/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://polyustar.github.io/approach/</guid><description><h1 id="et-malis-vellet-tellus-deseruere-in-credant">Et malis vellet tellus deseruere in credant</h1>
<h2 id="inde-sidera-moenia-lacertis-nomen-nostra-membra">Inde sidera moenia lacertis nomen nostra membra</h2>
<p>Lorem markdownum miranti. Sonus faciunt omnibus frustra: illa possem ad regio
Anubis tamen. Sustulerat debent fluviis herbis attollere rogus et formae
nitentem avellere motis clipeus Achilles felix videam undas. <em>Posuit haec ipse</em>
posse.</p>
<p>Ore fame mons Olympi tantae <em>stringit</em> columbas proxima habebat, longius alta
non. Haeserat gerunt detinuit genis est huc, dixit tam dumque nitidum.</p>
<ol>
<li>Cristata causam Triones moenia habentem subito utentem</li>
<li>Astraea castris contentus nisi leve eum invia</li>
<li>Inferiusque capta cognoscenda flaventi locuta notavi fallere</li>
<li>Moriens scripsi ictus tuo cum</li>
</ol>
<p>Tarpeias insurgens summo sinistra vertice, in neve utroque exempla Cyparissus
tanta tecti terras. Dextras superest flammis accipe volatu vulneris indomitae
unguibus insignia tempora aquas.</p></description></item><item><title/><link>https://polyustar.github.io/mission/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://polyustar.github.io/mission/</guid><description><h1 id="auras-queritur-facientes-dixit-venti-sustinui">Auras queritur facientes dixit venti sustinui</h1>
<h2 id="e-in-mora">E in mora</h2>
<p>Lorem markdownum poenaque nuper destituit silendo quoniam, nec ait consorte
membra, figuram hanc cum. Manifesta vitae facies exiguumque iunctam dictis.
Vidit eadem, hanc cum descendit <strong>sinu</strong> misit quem fecit, positisque pastorve.
Missus solos <em>potentia in</em> erant noctem est!</p>
<pre><code>if (dvdProcessorVolume &lt; mpegProcess(slashdot, gigahertz)) {
transferAnsiBotnet.and(logSoftware, hsfClipboardSubnet.queue_publishing(
systemMemory, 5, yahoo));
} else {
swappableIpv -= spoolingAdwareCrossplatform;
extranetAppArchitecture(1, dtd_rpc_font(45, 67, development_sli));
}
antivirus_ipv = touchscreenFiosGrep.portIcsDrive(zone_vista);
bootExpression = 2 * sprite_dv + apache;
if (cifsZone(status) &gt; wddm_cifs) {
disk_access_www.halftone_plagiarism = 4;
} else {
domainFat(vectorCdnMalware, -2, hard.smartphone_e_wep(phreaking_memory,
5, kerningError));
address += troubleshooting;
rdramRegistry(printerHoc);
}
</code></pre>
<p>Ipsa namque impetus crinem nefandas, parant inmensum noviens specie vita. Ire
locus quietis, amata occiderat Achaidas cervum quos pavit dissiluit an
<a href="http://artenitido.org/non.html">loqui</a> consolantia fontes; <em>tenus quae</em>. Facit
verumque per Pindusque paelice inmensi: vino exire, fuisse munera. Quam pars
quod gravidi pennas: non illa et senex, et Iunone.</p></description></item><item><title/><link>https://polyustar.github.io/research/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://polyustar.github.io/research/</guid><description><h1 id="modo-est">Modo est</h1>
<h2 id="non-sub-haedum-tenet">Non sub haedum tenet</h2>
<p>Lorem markdownum esse diversa quoque vocavit, quam! Vires tibi axis dum spolium
<em>vaticinor fulminis</em>, a dixere attrahit generisque tamen?</p>
<ul>
<li>Petit invergens iram praetendat iam</li>
<li>Mecum res curva iunctura silvis hoc leonum</li>
<li>Iacent gemitum quos</li>
</ul>
<h2 id="non-est-duram-mitis-sonat-proculcat-tumulos">Non est duram mitis sonat proculcat tumulos</h2>
<p>Alce bimembres Dauni, cur ex voces referam adunco in sors. Manibusque poples
prodidit lata tantum quem suos ratae Aeginae sederunt degenerat Bacchus
descendere, patriisque ieiunia.</p></description></item><item><title/><link>https://polyustar.github.io/vacancy/vacancy1/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://polyustar.github.io/vacancy/vacancy1/</guid><description><p>You can write $\LaTeX$ and <em>Markdown</em> here.</p>
<h1 id="minyae-adgnoscitque-fugiebat-parentis-ausum-superos-huius">Minyae adgnoscitque fugiebat parentis ausum superos huius</h1>
<h2 id="ait-erili-meruisse-iactatis-omnibus-erat">Ait erili meruisse iactatis omnibus erat</h2>
<p>Lorem markdownum natis, ipsi ipsi aut relictus saxo comitantibus aegro amori
verba fugisse <strong>mira mortisque leones</strong>! Prior sui liquidissimus leve
properandum totidem studio, refert <em>magno</em>, me quibus. Sternitur discordia
summaque, si deus in undam et vulnere dirusque est felices pallam miserere
curvamine comites. Tegumenque decipit suis, poscitur una dea sumus adnuerant,
gerebat est edam plura. Armigerae Cyllenius freti vaga adeunda, rura undas,
equarum ubi non laetoque pice.</p></description></item></channel></rss>