Cargando…

Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy

BACKGROUND: (18)F-FDG PET is often utilized to determine BNCT selection due to the limited availability of (18)F-BPA PET, which is performed by synthesizing (18)F into the boron drug used for BNCT, although the uptake mechanisms between those are different. Additionally, only a few non-spatial point...

Descripción completa

Detalles Bibliográficos
Autores principales: Nakaichi, Tetsu, Nakamura, Satoshi, Ito, Kimiteru, Takahashi, Kana, Takemori, Mihiro, Kashihara, Tairo, Kunito, Kouji, Murakami, Naoya, Iijima, Kotaro, Chiba, Takahito, Nakayama, Hiroki, Mikasa, Shohei, Nishio, Teiji, Okamoto, Hiroyuki, Itami, Jun, Kurihara, Hiroaki, Igaki, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763526/
https://www.ncbi.nlm.nih.gov/pubmed/36536190
http://dx.doi.org/10.1186/s40658-022-00514-7
_version_ 1784853081184272384
author Nakaichi, Tetsu
Nakamura, Satoshi
Ito, Kimiteru
Takahashi, Kana
Takemori, Mihiro
Kashihara, Tairo
Kunito, Kouji
Murakami, Naoya
Iijima, Kotaro
Chiba, Takahito
Nakayama, Hiroki
Mikasa, Shohei
Nishio, Teiji
Okamoto, Hiroyuki
Itami, Jun
Kurihara, Hiroaki
Igaki, Hiroshi
author_facet Nakaichi, Tetsu
Nakamura, Satoshi
Ito, Kimiteru
Takahashi, Kana
Takemori, Mihiro
Kashihara, Tairo
Kunito, Kouji
Murakami, Naoya
Iijima, Kotaro
Chiba, Takahito
Nakayama, Hiroki
Mikasa, Shohei
Nishio, Teiji
Okamoto, Hiroyuki
Itami, Jun
Kurihara, Hiroaki
Igaki, Hiroshi
author_sort Nakaichi, Tetsu
collection PubMed
description BACKGROUND: (18)F-FDG PET is often utilized to determine BNCT selection due to the limited availability of (18)F-BPA PET, which is performed by synthesizing (18)F into the boron drug used for BNCT, although the uptake mechanisms between those are different. Additionally, only a few non-spatial point parameters, such as maximum SUV (SUV(max)), have reported a correlation between those in previous studies. This study aimed to investigate the spatial accumulation pattern between those PET images in tumors, which would be expected to either show higher uptake on (18)F-BPA PET or be utilized in clinical, to verify whether (18)F-FDG PET could be used as a selection indicator for BNCT. METHODS: A total of 27 patients with 30 lesions (11 squamous cell carcinoma, 9 melanoma, and 10 rhabdomyosarcoma) who received (18)F-FDG and (18)F-BPA PET within 2 weeks were enrolled in this study. The ratio of metabolic tumor volumes (MTVs) to GTV, histogram indices (skewness/kurtosis), and the correlation of total lesion activity (TLA) and non-spatial point parameters (SUV(max), SUV(peak), SUV(min), maximum tumor-to-normal tissue ratio (T(max)/N), and T(min)/N) were evaluated. After local rigid registration between those images, distances of locations at SUV(max) and the center of mass with MTVs on each image and similarity indices were also assessed along its coordinate. RESULTS: In addition to SUV(max), SUV(peak), and T(max)/N, significant correlations were found in TLA. The mean distance in SUV(max) was [Formula: see text] and significantly longer than that in the center of mass with MTVs. The ratio of MTVs to GTV, skewness, and kurtosis were not significantly different. However, the similarities of MTVs were considerably low. The similarity indices of Dice similarity coefficient, Jaccard coefficient, and mean distance to agreement for MTV40 were [Formula: see text] , [Formula: see text] , and [Formula: see text]  cm, respectively. Furthermore, it was worse in MTV50. In addition, spatial accumulation patterns varied in cancer types. CONCLUSIONS: Spatial accumulation patterns in tumors showed low similarity between (18)F-FDG and (18)F-BPA PET, although the various non-spatial point parameters were correlated. In addition, the spatial accumulation patterns were considerably different in cancer types. Therefore, the selection for BNCT using (18)F-FDG PET should be compared carefully with using (18)F-FBPA PET. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00514-7.
format Online
Article
Text
id pubmed-9763526
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-97635262022-12-21 Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy Nakaichi, Tetsu Nakamura, Satoshi Ito, Kimiteru Takahashi, Kana Takemori, Mihiro Kashihara, Tairo Kunito, Kouji Murakami, Naoya Iijima, Kotaro Chiba, Takahito Nakayama, Hiroki Mikasa, Shohei Nishio, Teiji Okamoto, Hiroyuki Itami, Jun Kurihara, Hiroaki Igaki, Hiroshi EJNMMI Phys Original Research BACKGROUND: (18)F-FDG PET is often utilized to determine BNCT selection due to the limited availability of (18)F-BPA PET, which is performed by synthesizing (18)F into the boron drug used for BNCT, although the uptake mechanisms between those are different. Additionally, only a few non-spatial point parameters, such as maximum SUV (SUV(max)), have reported a correlation between those in previous studies. This study aimed to investigate the spatial accumulation pattern between those PET images in tumors, which would be expected to either show higher uptake on (18)F-BPA PET or be utilized in clinical, to verify whether (18)F-FDG PET could be used as a selection indicator for BNCT. METHODS: A total of 27 patients with 30 lesions (11 squamous cell carcinoma, 9 melanoma, and 10 rhabdomyosarcoma) who received (18)F-FDG and (18)F-BPA PET within 2 weeks were enrolled in this study. The ratio of metabolic tumor volumes (MTVs) to GTV, histogram indices (skewness/kurtosis), and the correlation of total lesion activity (TLA) and non-spatial point parameters (SUV(max), SUV(peak), SUV(min), maximum tumor-to-normal tissue ratio (T(max)/N), and T(min)/N) were evaluated. After local rigid registration between those images, distances of locations at SUV(max) and the center of mass with MTVs on each image and similarity indices were also assessed along its coordinate. RESULTS: In addition to SUV(max), SUV(peak), and T(max)/N, significant correlations were found in TLA. The mean distance in SUV(max) was [Formula: see text] and significantly longer than that in the center of mass with MTVs. The ratio of MTVs to GTV, skewness, and kurtosis were not significantly different. However, the similarities of MTVs were considerably low. The similarity indices of Dice similarity coefficient, Jaccard coefficient, and mean distance to agreement for MTV40 were [Formula: see text] , [Formula: see text] , and [Formula: see text]  cm, respectively. Furthermore, it was worse in MTV50. In addition, spatial accumulation patterns varied in cancer types. CONCLUSIONS: Spatial accumulation patterns in tumors showed low similarity between (18)F-FDG and (18)F-BPA PET, although the various non-spatial point parameters were correlated. In addition, the spatial accumulation patterns were considerably different in cancer types. Therefore, the selection for BNCT using (18)F-FDG PET should be compared carefully with using (18)F-FBPA PET. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00514-7. Springer International Publishing 2022-12-19 /pmc/articles/PMC9763526/ /pubmed/36536190 http://dx.doi.org/10.1186/s40658-022-00514-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Nakaichi, Tetsu
Nakamura, Satoshi
Ito, Kimiteru
Takahashi, Kana
Takemori, Mihiro
Kashihara, Tairo
Kunito, Kouji
Murakami, Naoya
Iijima, Kotaro
Chiba, Takahito
Nakayama, Hiroki
Mikasa, Shohei
Nishio, Teiji
Okamoto, Hiroyuki
Itami, Jun
Kurihara, Hiroaki
Igaki, Hiroshi
Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
title Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
title_full Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
title_fullStr Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
title_full_unstemmed Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
title_short Analyzing spatial distribution between (18)F-fluorodeoxyglucose and (18)F-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
title_sort analyzing spatial distribution between (18)f-fluorodeoxyglucose and (18)f-boronophenylalanine positron emission tomography to investigate selection indicators for boron neutron capture therapy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763526/
https://www.ncbi.nlm.nih.gov/pubmed/36536190
http://dx.doi.org/10.1186/s40658-022-00514-7
work_keys_str_mv AT nakaichitetsu analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT nakamurasatoshi analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT itokimiteru analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT takahashikana analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT takemorimihiro analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT kashiharatairo analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT kunitokouji analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT murakaminaoya analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT iijimakotaro analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT chibatakahito analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT nakayamahiroki analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT mikasashohei analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT nishioteiji analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT okamotohiroyuki analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT itamijun analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT kuriharahiroaki analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy
AT igakihiroshi analyzingspatialdistributionbetween18ffluorodeoxyglucoseand18fboronophenylalaninepositronemissiontomographytoinvestigateselectionindicatorsforboronneutroncapturetherapy