PMID- 36620179
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230111
IS  - 2223-4292 (Print)
IS  - 2223-4306 (Electronic)
IS  - 2223-4306 (Linking)
VI  - 13
IP  - 1
DP  - 2023 Jan 1
TI  - (18)F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined 
      model to predict the International Neuroblastoma Pathology Classification.
PG  - 94-107
LID - 10.21037/qims-22-343 [doi]
AB  - BACKGROUND: The aim of this study was to evaluate the effect of a model combining 
      a 18F-fluorodeoxyglucose positron emission tomography/computed tomography 
      ((18)F-FDG PET/CT)-based radiomics signature with clinical factors in the 
      preoperative prediction of the International Neuroblastoma Pathology 
      Classification (INPC) type of pediatric peripheral neuroblastic tumor (pNT). 
      METHODS: A total of 106 consecutive pediatric pNT patients confirmed by pathology 
      were retrospectively analyzed. Significant features determined by multivariate 
      logistic regression were retained to establish a clinical model (C-model), which 
      included clinical parameters and PET/CT radiographic features. A radiomics model 
      (R-model) was constructed on the basis of PET and CT images. A semiautomatic 
      method was used for segmenting regions of interest. A total of 1,016 radiomics 
      features were extracted. Univariate analysis and the least absolute shrinkage 
      selection operator were then used to select significant features. The C-model was 
      combined with the R-model to establish a combination model (RC-model). The 
      predictive performance was validated by receiver operating characteristic (ROC) 
      curve analysis, calibration curves, and decision curve analysis (DCA) in both the 
      training cohort and validation cohort. RESULTS: The radiomics signature was 
      constructed using 5 selected radiomics features. The RC-model, which was based on 
      the 5 radiomics features and 3 clinical factors, showed better predictive 
      performance compared with the C-model alone [area under the curve in the 
      validation cohort: 0.908 vs. 0.803; accuracy: 0.903 vs. 0.710; sensitivity: 0.895 
      vs. 0.789; specificity: 0.917 vs. 0.583; net reclassification improvement (NRI) 
      0.439, 95% confidence interval (CI): 0.1047-0.773; P=0.01]. The calibration curve 
      showed that the RC-model had goodness of fit, and DCA confirmed its clinical 
      utility. CONCLUSIONS: In this preliminary single-center retrospective study, an 
      R-model based on (18)F-FDG PET/CT was shown to be promising in predicting INPC 
      type in pediatric pNT, allowing for the noninvasive prediction of INPC and 
      assisting in therapeutic strategies.
CI  - 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.
FAU - Qian, Luo-Dan
AU  - Qian LD
AD  - Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical 
      University, Beijing, China.
FAU - Feng, Li-Juan
AU  - Feng LJ
AD  - Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical 
      University, Beijing, China.
FAU - Zhang, Shu-Xin
AU  - Zhang SX
AD  - Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical 
      University, Beijing, China.
FAU - Liu, Jun
AU  - Liu J
AD  - Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical 
      University, Beijing, China.
FAU - Ren, Jia-Liang
AU  - Ren JL
AD  - GE Healthcare, Beijing, China.
FAU - Liu, Lei
AU  - Liu L
AD  - Sinounion Medical Technology (Beijing) Co., Ltd., Beijing, China.
FAU - Zhang, Hui
AU  - Zhang H
AD  - Department of Biomedical Engineering, School of Medicine, Tsinghua University, 
      Beijing, China.
FAU - Yang, Jigang
AU  - Yang J
AD  - Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical 
      University, Beijing, China.
LA  - eng
PT  - Journal Article
DEP - 20221010
PL  - China
TA  - Quant Imaging Med Surg
JT  - Quantitative imaging in medicine and surgery
JID - 101577942
PMC - PMC9816755
OTO - NOTNLM
OT  - 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG 
      PET/CT)
OT  - International Neuroblastoma Pathology Classification (INPC)
OT  - Peripheral neuroblastic tumor (pNT)
OT  - radiomics
COIS- Conflicts of Interest: All authors have completed the ICMJE uniform disclosure 
      form (available at 
      https://qims.amegroups.com/article/view/10.21037/qims-22-343/coif). The authors 
      report that this work was supported by the National Natural Science Foundation of 
      China: Imaging genomics of neuroblastoma based on 18F-FDG PET/CT and 123I-MIBG 
      SPECT/CT (No. 81971642). JLR is in partnership with GE Healthcare China. LL is in 
      partnership with Sinounion Medical Technology (Beijing) Co., Ltd., Beijing. The 
      authors have no other conflicts of interest to declare.
EDAT- 2023/01/10 06:00
MHDA- 2023/01/10 06:01
PMCR- 2023/01/01
CRDT- 2023/01/09 04:06
PHST- 2022/04/08 00:00 [received]
PHST- 2022/09/09 00:00 [accepted]
PHST- 2023/01/09 04:06 [entrez]
PHST- 2023/01/10 06:00 [pubmed]
PHST- 2023/01/10 06:01 [medline]
PHST- 2023/01/01 00:00 [pmc-release]
AID - qims-13-01-94 [pii]
AID - 10.21037/qims-22-343 [doi]
PST - ppublish
SO  - Quant Imaging Med Surg. 2023 Jan 1;13(1):94-107. doi: 10.21037/qims-22-343. Epub 
      2022 Oct 10.