Correction: a comparative study of 18 F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING BMC Medical Imaging Pub Date : 2024-09-17 DOI:10.1186/s12880-024-01412-3
Zhenyan Ye, Ying Kou, Jiaqi Shen, Jun Dang, Xiaofei Tan, Xiao Jiang, Xiaoxiong Wang, Hao Lu, Shirong Chen, Zhuzhong Cheng
{"title":"Correction: a comparative study of 18 F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer","authors":"Zhenyan Ye, Ying Kou, Jiaqi Shen, Jun Dang, Xiaofei Tan, Xiao Jiang, Xiaoxiong Wang, Hao Lu, Shirong Chen, Zhuzhong Cheng","doi":"10.1186/s12880-024-01412-3","DOIUrl":null,"url":null,"abstract":"<p>Correction to: Ye et al. BMC Medical Imaging (2024) 24:192 https://doi.org/10.1186/s12880-024-01376-4.</p><p>Following the publication of the Original Article, the authors discovered that Tables 2 and 3 contained errors. The tables were mistakenly included in their original, unmodified form, leading to discrepancies between the tables and the rest of the paper.</p><p>In statistical work, the authors used a “2” to label patients with PSA levels greater than 10. PSA less than 10 was marked with “1”, and the number of patients with PSA levels higher than 10 and lower than 10 were counted respectively.</p><p>However, in Table 3, “1” and “2” were wrongly counted as the PSA levels of patients. Therefore, certain parts of the article need to be updated accordingly.</p><p><b>Incorrect</b>.</p><figure><figcaption><b data-test=\"table-caption\">Table 2 Clinical, radiological and molecular patient characteristics</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><figure><figcaption><b data-test=\"table-caption\">Table 3 Patients with discordant magnetic resonance imaging and prostatespecific membrane antigen positron emission tomography/computed tomography findings</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p><b>Correct</b>.</p><figure><figcaption><b data-test=\"table-caption\">Table 2 Clinical, radiological and molecular patient characteristics</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><figure><figcaption><b data-test=\"table-caption\">Table 3 Patients with discordant magnetic resonance imaging and prostatespecific membrane antigen positron emission tomography/computed tomography findings</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p><b>In the Results section:</b></p><ul>\n<li>\n<p>The maximum diameter of the PCa detected by MRI was <b>31.1</b> ± 17.5 mm.</p>\n</li>\n</ul><p><b>In the second paragraph of Discussion section:</b></p><ul>\n<li>\n<p>In our study, 9 patients had inconsistent results in 18 F-PSMA-1007 PET/CT and MRI, <b>with PI-RADS ≤ 4</b>.</p>\n</li>\n<li>\n<p>According to our study results, we suggest that <b>patients with PI-RADS ≤ 3</b> points receive MRI combined with 18 F-PSMA PET/CT diagnosis, which can reduce the rate of missed diagnosis of prostate cancer, improve patient prognosis, and provide a better choice for clinical practice, which also needs further research to verify our views.</p>\n</li>\n</ul><p><b>In the third paragraph of Discussion section:</b></p><ul>\n<li>\n<p>There was a mild to moderately positive correlation between serum PSA level and the maximum diameter of 18F-PSMA-1007 PET/CT mass, SUVpeak, MTV, and <b>TLG</b>.</p>\n</li>\n</ul><p>The Original Article has been corrected.</p><h3>Authors and Affiliations</h3><ol><li><p>Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital &amp; Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China</p><p>Zhenyan Ye, Ying Kou, Jiaqi Shen, Jun Dang, Xiaofei Tan, Xiao Jiang, Xiaoxiong Wang, Hao Lu, Shirong Chen &amp; Zhuzhong Cheng</p></li><li><p>Guang’an District People’s Hospital, Guangan, China</p><p>Zhenyan Ye</p></li></ol><span>Authors</span><ol><li><span>Zhenyan Ye</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Ying Kou</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jiaqi Shen</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jun Dang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Xiaofei Tan</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Xiao Jiang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Xiaoxiong Wang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Hao Lu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Shirong Chen</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Zhuzhong Cheng</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Corresponding author</h3><p>Correspondence to Zhuzhong Cheng.</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p>The online version of the original article can be found at https://doi.org/10.1186/s12880-024-01376-4.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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comparative study of 18 F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer. <i>BMC Med Imaging</i> <b>24</b>, 249 (2024). https://doi.org/10.1186/s12880-024-01412-3</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Published<span>: </span><span><time datetime=\"2024-09-17\">17 September 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s12880-024-01412-3</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p 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Abstract

Correction to: Ye et al. BMC Medical Imaging (2024) 24:192 https://doi.org/10.1186/s12880-024-01376-4.

Following the publication of the Original Article, the authors discovered that Tables 2 and 3 contained errors. The tables were mistakenly included in their original, unmodified form, leading to discrepancies between the tables and the rest of the paper.

In statistical work, the authors used a “2” to label patients with PSA levels greater than 10. PSA less than 10 was marked with “1”, and the number of patients with PSA levels higher than 10 and lower than 10 were counted respectively.

However, in Table 3, “1” and “2” were wrongly counted as the PSA levels of patients. Therefore, certain parts of the article need to be updated accordingly.

Incorrect.

Table 2 Clinical, radiological and molecular patient characteristics
Full size table
Table 3 Patients with discordant magnetic resonance imaging and prostatespecific membrane antigen positron emission tomography/computed tomography findings
Full size table

Correct.

Table 2 Clinical, radiological and molecular patient characteristics
Full size table
Table 3 Patients with discordant magnetic resonance imaging and prostatespecific membrane antigen positron emission tomography/computed tomography findings
Full size table

In the Results section:

  • The maximum diameter of the PCa detected by MRI was 31.1 ± 17.5 mm.

In the second paragraph of Discussion section:

  • In our study, 9 patients had inconsistent results in 18 F-PSMA-1007 PET/CT and MRI, with PI-RADS ≤ 4.

  • According to our study results, we suggest that patients with PI-RADS ≤ 3 points receive MRI combined with 18 F-PSMA PET/CT diagnosis, which can reduce the rate of missed diagnosis of prostate cancer, improve patient prognosis, and provide a better choice for clinical practice, which also needs further research to verify our views.

In the third paragraph of Discussion section:

  • There was a mild to moderately positive correlation between serum PSA level and the maximum diameter of 18F-PSMA-1007 PET/CT mass, SUVpeak, MTV, and TLG.

The Original Article has been corrected.

Authors and Affiliations

  1. Department of Nuclear Medicine, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China

    Zhenyan Ye, Ying Kou, Jiaqi Shen, Jun Dang, Xiaofei Tan, Xiao Jiang, Xiaoxiong Wang, Hao Lu, Shirong Chen & Zhuzhong Cheng

  2. Guang’an District People’s Hospital, Guangan, China

    Zhenyan Ye

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  1. Zhenyan YeView author publications

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Corresponding author

Correspondence to Zhuzhong Cheng.

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Ye, Z., Kou, Y., Shen, J. et al. Correction: a comparative study of 18 F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer. BMC Med Imaging 24, 249 (2024). https://doi.org/10.1186/s12880-024-01412-3

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更正:18 F-PSMA-1007 PET/CT 和盆腔 MRI 在新诊断前列腺癌中的比较研究
BMC Med Imaging 24, 249 (2024). https://doi.org/10.1186/s12880-024-01412-3Download citationPublished: 17 September 2024DOI: https://doi.org/10.1186/s12880-024-01412-3Share this articleAnyone you share with the following link will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative
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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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