PMID- 37507716
OWN - NLM
STAT- MEDLINE
DCOM- 20230731
LR  - 20230802
IS  - 1471-2342 (Electronic)
IS  - 1471-2342 (Linking)
VI  - 23
IP  - 1
DP  - 2023 Jul 28
TI  - Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for 
      predicting haemodynamically significant coronary stenosis in patients with type 2 
      diabetes.
PG  - 99
LID - 10.1186/s12880-023-01051-0 [doi]
LID - 99
AB  - BACKGROUND: Type 2 diabetes mellitus (T2DM) patients have a higher incidence of 
      coronary artery disease than the general population. The aim of this study was to 
      develop a radiomics nomogram of pericoronary adipose tissue (PCAT) based on 
      non-contrast CT to predict haemodynamically significant coronary stenosis in T2DM 
      patients. METHODS: The study enrolled 215 T2DM patients who underwent 
      non-contrast CT and coronary computed tomography angiography (CCTA). CCTA derived 
      fractional flow reserve (FFR(CT)) </= 0.80 was defined as hemodynamically 
      significant stenosis.1691 radiomics features were extracted from PCAT on 
      non-contrast CT. Minimum redundancy maximum relevance (mRMR) and least absolute 
      shrinkage and selection operator (LASSO) were used to select useful radiomics 
      features to construct Radscore. Logistic regression was applied to select 
      significant factors among Radscore, fat attenuation index (FAI) and coronary 
      artery calcium score (CACS) to construct radiomics nomogram. RESULTS: Radscore 
      [odds ratio (OR) = 2.84; P < 0.001] and CACS (OR = 1.00; P = 0.023) were 
      identified as independent predictors to construct the radiomics nomogram. The 
      radiomics nomogram showed excellent performance [training cohort: area under the 
      curve (AUC) = 0.81; 95% CI: 0.76-0.86; validation cohort: AUC = 0.83; 95%CI: 
      0.76-0.90] to predict haemodynamically significant coronary stenosis in patients 
      with T2DM. Decision curve analysis demonstrated high clinical value of the 
      radiomics nomogram. CONCLUSION: The non-contrast CT-based radiomics nomogram of 
      PCAT could effectively predict haemodynamically significant coronary stenosis in 
      patients with T2DM, which might be a potential noninvasive tool for screening of 
      high-risk patients.
CI  - (c) 2023. The Author(s).
FAU - Chen, Can
AU  - Chen C
AD  - Department of Radiology, The First Affiliated Hospital of Soochow University, 
      Suzhou, 215006, Jiangsu Province, China.
FAU - Chen, Meng
AU  - Chen M
AD  - Department of Radiology, The First Affiliated Hospital of Soochow University, 
      Suzhou, 215006, Jiangsu Province, China.
FAU - Tao, Qing
AU  - Tao Q
AD  - Department of Radiology, The First Affiliated Hospital of Soochow University, 
      Suzhou, 215006, Jiangsu Province, China.
FAU - Hu, Su
AU  - Hu S
AD  - Department of Radiology, The First Affiliated Hospital of Soochow University, 
      Suzhou, 215006, Jiangsu Province, China. husu@suda.edu.cn.
FAU - Hu, Chunhong
AU  - Hu C
AD  - Department of Radiology, The First Affiliated Hospital of Soochow University, 
      Suzhou, 215006, Jiangsu Province, China. sdhuchunhong@sina.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230728
PL  - England
TA  - BMC Med Imaging
JT  - BMC medical imaging
JID - 100968553
SB  - IM
MH  - Humans
MH  - *Diabetes Mellitus, Type 2/complications/diagnostic imaging
MH  - *Fractional Flow Reserve, Myocardial
MH  - Nomograms
MH  - *Coronary Stenosis/diagnostic imaging
MH  - Adipose Tissue/diagnostic imaging
MH  - Tomography, X-Ray Computed
MH  - Retrospective Studies
PMC - PMC10386261
OTO - NOTNLM
OT  - CCTA derived fractional flow reserve
OT  - Haemodynamically significant coronary stenosis
OT  - Nomogram
OT  - Non-contrast CT
OT  - Pericoronary adipose tissue
OT  - Radiomics
COIS- The authors declare no competing interests.
EDAT- 2023/07/29 06:42
MHDA- 2023/07/31 06:42
PMCR- 2023/07/28
CRDT- 2023/07/28 23:38
PHST- 2023/01/28 00:00 [received]
PHST- 2023/06/28 00:00 [accepted]
PHST- 2023/07/31 06:42 [medline]
PHST- 2023/07/29 06:42 [pubmed]
PHST- 2023/07/28 23:38 [entrez]
PHST- 2023/07/28 00:00 [pmc-release]
AID - 10.1186/s12880-023-01051-0 [pii]
AID - 1051 [pii]
AID - 10.1186/s12880-023-01051-0 [doi]
PST - epublish
SO  - BMC Med Imaging. 2023 Jul 28;23(1):99. doi: 10.1186/s12880-023-01051-0.