PMID- 38280936
OWN - NLM
STAT- MEDLINE
DCOM- 20240326
LR  - 20240326
IS  - 1573-742X (Electronic)
IS  - 0929-5305 (Linking)
VI  - 57
IP  - 3
DP  - 2024 Mar
TI  - Computed tomography-based radiomics model to predict adverse clinical outcomes in 
      acute pulmonary embolism.
PG  - 428-436
LID - 10.1007/s11239-023-02929-0 [doi]
AB  - This preliminary study investigated the feasibility of a combined model 
      constructed using radiomic features based on computed tomography (CT) and 
      clinical features to predict adverse clinical outcomes in acute pulmonary 
      embolism (APE). Currently, there is no widely recognized predictive model. 
      Patients with confirmed APE who underwent CT pulmonary angiography were 
      retrospectively categorized into good and poor prognosis groups. Seventy-four 
      patients were randomized into a training (n = 51) or validation (n = 23) cohort. 
      Feature extraction was performed using 3D-Slicer software. The least absolute 
      shrinkage and selection operator regression was used to identify the optimal 
      radiomics features and calculate the radiomics scores; subsequently, the 
      radiomics model was developed. A combined predictive model was constructed based 
      on radiomics scores and selected clinical features. The predictive efficacy of 
      the three models (radiomics, clinical and combined) was assessed by plotting 
      receiver operating characteristic curves. Furthermore, the calibration curves 
      were graphed and the decision curve analysis was performed. Four radiomic 
      features were screened to calculate the radiomic score. Right ventricular to left 
      ventricular ratio (RV/LV) >/= 1.0 and radiomics score were independent risk factors 
      for adverse clinical outcomes. In the training and validation cohorts, the areas 
      under the curve (AUCs) for the RV/LV >/= 1.0 (clinical) and radiomics score 
      prediction models were 0.778 and 0.833 and 0.907 and 0.817, respectively. The 
      AUCs for the combined model of RV/LV >/= 1.0 and radiomics score were 0.925 and 
      0.917, respectively. The combined and radiomics models had high clinical 
      assessment efficacy for predicting adverse clinical outcomes in APE, 
      demonstrating the clinical utility of both models. Calibration curves exhibited a 
      strong level of consistency between the predictive and observed probabilities of 
      poor and good prognoses in the combined model. The combined model of RV/LV >/= 1.0 
      and radiomics score based on CT could accurately and non-invasively predict 
      adverse clinical outcomes in patients with APE.
CI  - (c) 2024. The Author(s), under exclusive licence to Springer Science+Business 
      Media, LLC, part of Springer Nature.
FAU - Yang, Fei
AU  - Yang F
AD  - Department of Medical Imaging, The First Affiliated Hospital of Hebei North 
      University, Zhangjiakou, 075000, Hebei, China.
FAU - Chen, Rong
AU  - Chen R
AD  - Hebei North University, Zhangjiakou, 075000, Hebei, China.
FAU - Yang, Yue
AU  - Yang Y
AD  - Hebei North University, Zhangjiakou, 075000, Hebei, China.
FAU - Yang, Zhixiang
AU  - Yang Z
AD  - Hebei North University, Zhangjiakou, 075000, Hebei, China.
FAU - Su, Yaying
AU  - Su Y
AD  - Department of Nuclear Medicine, The First Affiliated Hospital of Hebei North 
      University, Zhangjiakou, 075000, Hebei, China.
FAU - Ji, Mengmeng
AU  - Ji M
AD  - Department of Medical Imaging, The First Affiliated Hospital of Hebei North 
      University, Zhangjiakou, 075000, Hebei, China.
FAU - Pang, Zhiying
AU  - Pang Z
AD  - Department of Medical Imaging, The First Affiliated Hospital of Hebei North 
      University, Zhangjiakou, 075000, Hebei, China.
FAU - Wang, Dawei
AU  - Wang D
AUID- ORCID: 0000-0003-2341-3193
AD  - Department of Cardiothoracic Surgery, The First Affiliated Hospital of Hebei 
      North University, 12 Changqing Road, Zhangjiakou, 075000, Hebei, China. 
      15530392140@163.com.
LA  - eng
GR  - 21377769D/Science and Technology Bureau of Hebei Province/
PT  - Journal Article
DEP - 20240128
PL  - Netherlands
TA  - J Thromb Thrombolysis
JT  - Journal of thrombosis and thrombolysis
JID - 9502018
SB  - IM
MH  - Animals
MH  - Humans
MH  - Acute Disease
MH  - *Hominidae
MH  - *Pulmonary Embolism/diagnostic imaging/therapy
MH  - Radiomics
MH  - Retrospective Studies
MH  - Risk Factors
MH  - Tomography, X-Ray Computed
OTO - NOTNLM
OT  - Acute pulmonary embolism
OT  - Adverse clinical outcome
OT  - CT pulmonary angiography
OT  - Radiomics
EDAT- 2024/01/28 07:44
MHDA- 2024/03/26 06:45
CRDT- 2024/01/27 23:18
PHST- 2023/11/18 00:00 [accepted]
PHST- 2024/03/26 06:45 [medline]
PHST- 2024/01/28 07:44 [pubmed]
PHST- 2024/01/27 23:18 [entrez]
AID - 10.1007/s11239-023-02929-0 [pii]
AID - 10.1007/s11239-023-02929-0 [doi]
PST - ppublish
SO  - J Thromb Thrombolysis. 2024 Mar;57(3):428-436. doi: 10.1007/s11239-023-02929-0. 
      Epub 2024 Jan 28.