Cargando…
Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography
Renal sinus fat is partially characteristic of peri-vascular adipose tissue, however, RSF volume (RSFV) is associated with visceral adipose tissue (VATV). Therefore, the ratio of RSFV to VATV (RSFV/VATV ratio) can distinguish the importance of RSF as an extension of VAT versus its perivascular effec...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872677/ https://www.ncbi.nlm.nih.gov/pubmed/27222869 http://dx.doi.org/10.1016/j.dib.2016.04.027 |
_version_ | 1782432766064852992 |
---|---|
author | Murakami, Yoko Nagatani, Yukihiro Takahashi, Masashi Ikeda, Mitsuru Miyazawa, Itsuko Morino, Katsutaro Ohkubo, Takayoshi Maegawa, Hiroshi Nitta, Norihisa Sakai, Hiroshi Nota, Hiromitsu Ushio, Noritoshi Murata, Kiyoshi |
author_facet | Murakami, Yoko Nagatani, Yukihiro Takahashi, Masashi Ikeda, Mitsuru Miyazawa, Itsuko Morino, Katsutaro Ohkubo, Takayoshi Maegawa, Hiroshi Nitta, Norihisa Sakai, Hiroshi Nota, Hiromitsu Ushio, Noritoshi Murata, Kiyoshi |
author_sort | Murakami, Yoko |
collection | PubMed |
description | Renal sinus fat is partially characteristic of peri-vascular adipose tissue, however, RSF volume (RSFV) is associated with visceral adipose tissue (VATV). Therefore, the ratio of RSFV to VATV (RSFV/VATV ratio) can distinguish the importance of RSF as an extension of VAT versus its perivascular effects. We assessed the association of RSFV/VATV ratio with coronary artery calcification score (CACS) in 189 patients with suspected coronary artery disease. RSFV of the right kidney and VATV were quantified by using image data of unenhanced abdominal CT. CACS were measured on unenhanced ECG-gated CT images. This article contains data on explanatory scheme of how to measure RSFV on unenhanced abdominal CT, CT indication and exclusion criteria of study population, sex-adjusted association between RSFV with risk factors of coronary vascular diseases and metabolic indices, multivariate linear regression analysis with CACS as the dependent variable in the total study population. The data are supplemental to our original research article describing detailed association between RSFV/VATV ratio and CACS including sub-groups analyses classified by the age of 70 “Renal sinus fat volume on computed tomography in middle-aged patients at risk for cardiovascular disease and its association with coronary artery calcification” Murakami et al. [1]. |
format | Online Article Text |
id | pubmed-4872677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-48726772016-05-24 Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography Murakami, Yoko Nagatani, Yukihiro Takahashi, Masashi Ikeda, Mitsuru Miyazawa, Itsuko Morino, Katsutaro Ohkubo, Takayoshi Maegawa, Hiroshi Nitta, Norihisa Sakai, Hiroshi Nota, Hiromitsu Ushio, Noritoshi Murata, Kiyoshi Data Brief Data Article Renal sinus fat is partially characteristic of peri-vascular adipose tissue, however, RSF volume (RSFV) is associated with visceral adipose tissue (VATV). Therefore, the ratio of RSFV to VATV (RSFV/VATV ratio) can distinguish the importance of RSF as an extension of VAT versus its perivascular effects. We assessed the association of RSFV/VATV ratio with coronary artery calcification score (CACS) in 189 patients with suspected coronary artery disease. RSFV of the right kidney and VATV were quantified by using image data of unenhanced abdominal CT. CACS were measured on unenhanced ECG-gated CT images. This article contains data on explanatory scheme of how to measure RSFV on unenhanced abdominal CT, CT indication and exclusion criteria of study population, sex-adjusted association between RSFV with risk factors of coronary vascular diseases and metabolic indices, multivariate linear regression analysis with CACS as the dependent variable in the total study population. The data are supplemental to our original research article describing detailed association between RSFV/VATV ratio and CACS including sub-groups analyses classified by the age of 70 “Renal sinus fat volume on computed tomography in middle-aged patients at risk for cardiovascular disease and its association with coronary artery calcification” Murakami et al. [1]. Elsevier 2016-04-19 /pmc/articles/PMC4872677/ /pubmed/27222869 http://dx.doi.org/10.1016/j.dib.2016.04.027 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Murakami, Yoko Nagatani, Yukihiro Takahashi, Masashi Ikeda, Mitsuru Miyazawa, Itsuko Morino, Katsutaro Ohkubo, Takayoshi Maegawa, Hiroshi Nitta, Norihisa Sakai, Hiroshi Nota, Hiromitsu Ushio, Noritoshi Murata, Kiyoshi Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
title | Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
title_full | Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
title_fullStr | Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
title_full_unstemmed | Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
title_short | Data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
title_sort | data set for renal sinus fat volume and visceral adipose tissue volume on computed tomography |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872677/ https://www.ncbi.nlm.nih.gov/pubmed/27222869 http://dx.doi.org/10.1016/j.dib.2016.04.027 |
work_keys_str_mv | AT murakamiyoko datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT nagataniyukihiro datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT takahashimasashi datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT ikedamitsuru datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT miyazawaitsuko datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT morinokatsutaro datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT ohkubotakayoshi datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT maegawahiroshi datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT nittanorihisa datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT sakaihiroshi datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT notahiromitsu datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT ushionoritoshi datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography AT muratakiyoshi datasetforrenalsinusfatvolumeandvisceraladiposetissuevolumeoncomputedtomography |