Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas.
<h4>Objective</h4>This study aimed to introduce and evaluate a novel software-based system, BioTrace, designed for real-time monitoring of thermal ablation tissue damage during image-guided radiofrequency ablation for hepatocellular carcinoma (HCC).<h4>Methods</h4>BioTrace ut...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317469 |
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| author | Masaya Sato Ryosuke Tateishi Yogev Zohar Jiro Sato Takeyuki Watadani Makoto Moriyama Taijiro Wake Ryo Nakagomi Mizuki Nishibatake Kinoshita Takuma Nakatsuka Tatsuya Minami Koji Uchino Kenichiro Enooku Hayato Nakagawa Yoshinari Asaoka Ryo Yamada Nitzan Even Inbal Amitai Yossi Abu Mitsuhiro Fujishiro Kazuhiko Koike |
| author_facet | Masaya Sato Ryosuke Tateishi Yogev Zohar Jiro Sato Takeyuki Watadani Makoto Moriyama Taijiro Wake Ryo Nakagomi Mizuki Nishibatake Kinoshita Takuma Nakatsuka Tatsuya Minami Koji Uchino Kenichiro Enooku Hayato Nakagawa Yoshinari Asaoka Ryo Yamada Nitzan Even Inbal Amitai Yossi Abu Mitsuhiro Fujishiro Kazuhiko Koike |
| author_sort | Masaya Sato |
| collection | DOAJ |
| description | <h4>Objective</h4>This study aimed to introduce and evaluate a novel software-based system, BioTrace, designed for real-time monitoring of thermal ablation tissue damage during image-guided radiofrequency ablation for hepatocellular carcinoma (HCC).<h4>Methods</h4>BioTrace utilizes a proprietary algorithm to analyze the temporo-spatial behavior of thermal gas bubble activity during ablation, as seen in conventional B-mode ultrasound imaging. Its predictive accuracy was assessed by comparing the ablation zones it predicted with those annotated by radiologists using contrast-enhanced computed tomography (CECT) 24 hours post-treatment, considered the gold standard. The study included 20 liver tumors.<h4>Results</h4>The median tumor measurement along the major axis was 1.2 cm. The median Dice coefficient, Sensitivity, and Precision between BioTrace and CECT were 0.90, 0.91, and 0.91, respectively. The intraclass correlation showed excellent agreement in volume size between BioTrace and CECT findings (0.98).<h4>Conclusion</h4>BioTrace effectively generates an ablation damage prediction map based on real-time ultrasound imaging, accurately predicting the ablation zone as confirmed by 24-hour post-procedural CECT. This system has the potential to enhance the safety and efficacy of ablation procedures in clinical settings. |
| format | Article |
| id | doaj-art-7432633622094497949bbacb141114e5 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-7432633622094497949bbacb141114e52025-02-05T05:31:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031746910.1371/journal.pone.0317469Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas.Masaya SatoRyosuke TateishiYogev ZoharJiro SatoTakeyuki WatadaniMakoto MoriyamaTaijiro WakeRyo NakagomiMizuki Nishibatake KinoshitaTakuma NakatsukaTatsuya MinamiKoji UchinoKenichiro EnookuHayato NakagawaYoshinari AsaokaRyo YamadaNitzan EvenInbal AmitaiYossi AbuMitsuhiro FujishiroKazuhiko Koike<h4>Objective</h4>This study aimed to introduce and evaluate a novel software-based system, BioTrace, designed for real-time monitoring of thermal ablation tissue damage during image-guided radiofrequency ablation for hepatocellular carcinoma (HCC).<h4>Methods</h4>BioTrace utilizes a proprietary algorithm to analyze the temporo-spatial behavior of thermal gas bubble activity during ablation, as seen in conventional B-mode ultrasound imaging. Its predictive accuracy was assessed by comparing the ablation zones it predicted with those annotated by radiologists using contrast-enhanced computed tomography (CECT) 24 hours post-treatment, considered the gold standard. The study included 20 liver tumors.<h4>Results</h4>The median tumor measurement along the major axis was 1.2 cm. The median Dice coefficient, Sensitivity, and Precision between BioTrace and CECT were 0.90, 0.91, and 0.91, respectively. The intraclass correlation showed excellent agreement in volume size between BioTrace and CECT findings (0.98).<h4>Conclusion</h4>BioTrace effectively generates an ablation damage prediction map based on real-time ultrasound imaging, accurately predicting the ablation zone as confirmed by 24-hour post-procedural CECT. This system has the potential to enhance the safety and efficacy of ablation procedures in clinical settings.https://doi.org/10.1371/journal.pone.0317469 |
| spellingShingle | Masaya Sato Ryosuke Tateishi Yogev Zohar Jiro Sato Takeyuki Watadani Makoto Moriyama Taijiro Wake Ryo Nakagomi Mizuki Nishibatake Kinoshita Takuma Nakatsuka Tatsuya Minami Koji Uchino Kenichiro Enooku Hayato Nakagawa Yoshinari Asaoka Ryo Yamada Nitzan Even Inbal Amitai Yossi Abu Mitsuhiro Fujishiro Kazuhiko Koike Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. PLoS ONE |
| title | Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. |
| title_full | Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. |
| title_fullStr | Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. |
| title_full_unstemmed | Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. |
| title_short | Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. |
| title_sort | retrospective evaluation of a novel ultrasound based imaging analysis software for predicting radiofrequency ablation areas |
| url | https://doi.org/10.1371/journal.pone.0317469 |
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