<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wu S</submitter><funding>Key Project of Shanghai Science and Technology Commission</funding><funding>National Key R&amp;amp;D Program of China</funding><funding>Shanghai Key Laboratory of Magnetic Resonance</funding><funding>National Natural Science Foundation of China</funding><funding>National Funds for Distinguished Young Scientists</funding><funding>China Postdoctoral Science Foundation</funding><pagination>e2002548</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8188217</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(11)</volume><pubmed_abstract>Timely detection of liver fibrosis by X-ray computed tomography (CT) can prevent its progression to fatal liver diseases. However, it remains quite challenging because conventional CT can only identify the difference in density instead of X-ray attenuation characteristics. Spectral CT can generate monochromatic imaging to specify X-ray attenuation characteristics of the scanned matter. Herein, an X-ray energy-dependent attenuation strategy originated from bismuth (Bi)-based nanoprobes (BiF&lt;sub>3&lt;/sub> @PDA@HA) is proposed for the accurate diagnosis of liver fibrosis. Bi element in BiF&lt;sub>3&lt;/sub> @PDA@HA can exhibit characteristic attenuation depending on different levels of X-ray energy via spectral CT, and that is challenging for conventional CT. In this study, selectively accumulating B</pubmed_abstract><journal>Advanced science (Weinheim, Baden-Wurttemberg, Germany)</journal><pubmed_title>Harnessing X-Ray Energy-Dependent Attenuation of Bismuth-Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis.</pubmed_title><pmcid>PMC8188217</pmcid><funding_grant_id>19JC1412002</funding_grant_id><funding_grant_id>2020M681397</funding_grant_id><funding_grant_id>19JC1412000</funding_grant_id><funding_grant_id>51725202</funding_grant_id><funding_grant_id>81671732</funding_grant_id><funding_grant_id>51872094</funding_grant_id><funding_grant_id>SKMR2020B01</funding_grant_id><funding_grant_id>BX20200245</funding_grant_id><funding_grant_id>2018YFA0107900</funding_grant_id><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Zhai S</pubmed_authors><pubmed_authors>Yao Z</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Bu W</pubmed_authors><pubmed_authors>Jiang X</pubmed_authors><pubmed_authors>Wu S</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Meng X</pubmed_authors><pubmed_authors>Wu Y</pubmed_authors><pubmed_authors>Zhao X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Harnessing X-Ray Energy-Dependent Attenuation of Bismuth-Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis.</name><description>Timely detection of liver fibrosis by X-ray computed tomography (CT) can prevent its progression to fatal liver diseases. However, it remains quite challenging because conventional CT can only identify the difference in density instead of X-ray attenuation characteristics. Spectral CT can generate monochromatic imaging to specify X-ray attenuation characteristics of the scanned matter. Herein, an X-ray energy-dependent attenuation strategy originated from bismuth (Bi)-based nanoprobes (BiF&lt;sub>3&lt;/sub> @PDA@HA) is proposed for the accurate diagnosis of liver fibrosis. Bi element in BiF&lt;sub>3&lt;/sub> @PDA@HA can exhibit characteristic attenuation depending on different levels of X-ray energy via spectral CT, and that is challenging for conventional CT. In this study, selectively accumulating B</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jun</publication><modification>2025-04-22T16:27:40.28Z</modification><creation>2022-02-10T14:44:09.783Z</creation></dates><accession>S-EPMC8188217</accession><cross_references><pubmed>34105274</pubmed><doi>10.1002/advs.202002548</doi></cross_references></HashMap>