Marco Spadafora, Pasqualina Sannino, Luigi Mansi, Ciro Mainolfi, Rosario Capasso, Eugenio Di Giorgio, Salvatore Fiordoro, Serena Imbimbo, Filomena Masone, Laura Evangelista
{"title":"减少PET/CT引起的整体生物损害的算法:一项基于年龄的研究。","authors":"Marco Spadafora, Pasqualina Sannino, Luigi Mansi, Ciro Mainolfi, Rosario Capasso, Eugenio Di Giorgio, Salvatore Fiordoro, Serena Imbimbo, Filomena Masone, Laura Evangelista","doi":"10.1007/s13139-023-00788-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study is to use a simple algorithm based on patient's age to reduce the overall biological detriment associated with PET/CT.</p><p><strong>Materials and methods: </strong>A total of 421 consecutive patients (mean age 64 ± 14 years) undergoing PET for various clinical indications were enrolled. For each scan, effective dose (ED in mSv) and additional cancer risk (ACR) were computed both in a reference condition (REF) and after applying an original algorithm (ALGO). The ALGO modified the mean dose of FDG and the PET scan time parameters; indeed, a lower dose and a longer scan time were reported in the younger, while a higher dose and a shorter scan time in the older patients. Moreover, patients were classified by age bracket (18-29, 30-60, and 61-90 years).</p><p><strong>Results: </strong>The ED was 4.57 ± 0.92 mSv in the REF condition. The ACR were 0.020 ± 0.016 and 0.0187 ± 0.013, respectively, in REF and ALGO. The ACR for the REF and ALGO conditions were significantly reduced in males and females, although it was more evident in the latter gender (all <i>p</i> < 0.0001). Finally, the ACR significantly reduced from the REF condition to ALGO in all three age brackets (all <i>p</i> < 0.0001).</p><p><strong>Conclusion: </strong>Implementation of ALGO protocols in PET can reduce the overall ACR, mainly in young and female patients.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172419/pdf/","citationCount":"0","resultStr":"{\"title\":\"Algorithm for Reducing Overall Biological Detriment Caused by PET/CT: an Age-Based Study.\",\"authors\":\"Marco Spadafora, Pasqualina Sannino, Luigi Mansi, Ciro Mainolfi, Rosario Capasso, Eugenio Di Giorgio, Salvatore Fiordoro, Serena Imbimbo, Filomena Masone, Laura Evangelista\",\"doi\":\"10.1007/s13139-023-00788-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study is to use a simple algorithm based on patient's age to reduce the overall biological detriment associated with PET/CT.</p><p><strong>Materials and methods: </strong>A total of 421 consecutive patients (mean age 64 ± 14 years) undergoing PET for various clinical indications were enrolled. For each scan, effective dose (ED in mSv) and additional cancer risk (ACR) were computed both in a reference condition (REF) and after applying an original algorithm (ALGO). The ALGO modified the mean dose of FDG and the PET scan time parameters; indeed, a lower dose and a longer scan time were reported in the younger, while a higher dose and a shorter scan time in the older patients. Moreover, patients were classified by age bracket (18-29, 30-60, and 61-90 years).</p><p><strong>Results: </strong>The ED was 4.57 ± 0.92 mSv in the REF condition. The ACR were 0.020 ± 0.016 and 0.0187 ± 0.013, respectively, in REF and ALGO. The ACR for the REF and ALGO conditions were significantly reduced in males and females, although it was more evident in the latter gender (all <i>p</i> < 0.0001). Finally, the ACR significantly reduced from the REF condition to ALGO in all three age brackets (all <i>p</i> < 0.0001).</p><p><strong>Conclusion: </strong>Implementation of ALGO protocols in PET can reduce the overall ACR, mainly in young and female patients.</p>\",\"PeriodicalId\":19384,\"journal\":{\"name\":\"Nuclear Medicine and Molecular Imaging\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172419/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nuclear Medicine and Molecular Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13139-023-00788-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Medicine and Molecular Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13139-023-00788-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Algorithm for Reducing Overall Biological Detriment Caused by PET/CT: an Age-Based Study.
Purpose: This study is to use a simple algorithm based on patient's age to reduce the overall biological detriment associated with PET/CT.
Materials and methods: A total of 421 consecutive patients (mean age 64 ± 14 years) undergoing PET for various clinical indications were enrolled. For each scan, effective dose (ED in mSv) and additional cancer risk (ACR) were computed both in a reference condition (REF) and after applying an original algorithm (ALGO). The ALGO modified the mean dose of FDG and the PET scan time parameters; indeed, a lower dose and a longer scan time were reported in the younger, while a higher dose and a shorter scan time in the older patients. Moreover, patients were classified by age bracket (18-29, 30-60, and 61-90 years).
Results: The ED was 4.57 ± 0.92 mSv in the REF condition. The ACR were 0.020 ± 0.016 and 0.0187 ± 0.013, respectively, in REF and ALGO. The ACR for the REF and ALGO conditions were significantly reduced in males and females, although it was more evident in the latter gender (all p < 0.0001). Finally, the ACR significantly reduced from the REF condition to ALGO in all three age brackets (all p < 0.0001).
Conclusion: Implementation of ALGO protocols in PET can reduce the overall ACR, mainly in young and female patients.
期刊介绍：
Nuclear Medicine and Molecular Imaging (Nucl Med Mol Imaging) is an official journal of the Korean Society of Nuclear Medicine, which bimonthly publishes papers on February, April, June, August, October, and December about nuclear medicine and related sciences such as radiochemistry, radiopharmacy, dosimetry and pharmacokinetics / pharmacodynamics of radiopharmaceuticals, nuclear and molecular imaging analysis, nuclear and molecular imaging instrumentation, radiation biology and radionuclide therapy. The journal specially welcomes works of artificial intelligence applied to nuclear medicine. The journal will also welcome original works relating to molecular imaging research such as the development of molecular imaging probes, reporter imaging assays, imaging cell trafficking, imaging endo(exo)genous gene expression, and imaging signal transduction. Nucl Med Mol Imaging publishes the following types of papers: original articles, reviews, case reports, editorials, interesting images, and letters to the editor.
The Korean Society of Nuclear Medicine (KSNM)
KSNM is a scientific and professional organization founded in 1961 and a member of the Korean Academy of Medical Sciences of the Korean Medical Association which was established by The Medical Services Law. The aims of KSNM are the promotion of nuclear medicine and cooperation of each member. The business of KSNM includes holding academic meetings and symposia, the publication of journals and books, planning and research of promoting science and health, and training and qualification of nuclear medicine specialists.
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