Literature DB >> 31901595

Clinical utility of dual-energy CT used as an add-on to 18F FDG PET/CT in the preoperative staging of resectable NSCLC with suspected single osteolytic metastases.

Haijun Wu1, Song Dong2, Xiuhui Li3, Lei Shi4, Dan Shao5, Qing Zhang5, Min Chen6, Yan Cao7, Minn Thant7, Xiaoyu Huang8.   

Abstract

OBJECTIVE: To determine the clinical value of 18F-FDG-PET/CT and dual-energy virtual noncalcium CT to detect and identify single osteolytic metastases (SOM) in participants with non-small cell lung cancer (NSCLC).
MATERIALS AND METHODS: Forty-two participants (mean age, 63.5 years ± 10.1; range, 41-81 years) with suspected SOM diagnosed by whole-body 18F-FDG-PET/CT underwent non-enhanced dual-energy CT. All images were visually and quantitatively evaluated by two nuclear medicine physicians (R1 and R2) and two radiologists (R3 and R4) independently. The results of visual and quantitative analysis of 18F-FDG-PET/CT and dual-energy CT were compared with pathological results.
RESULTS: In the visual analysis, the specificity and positive predictive value of dual-energy CT for reader 1 and reader 2 is larger than the corresponding figures of18F-FDG-PET/CT for reader 3 and reader 4 (94.1% each vs 82.4%/76.5%; 95.2%/95.0% vs 88.9%/86.2%). The sensitivity and negative predictive value of dual-energy CT is relatively lower than the number of 18F-FDG-PET/CT for readers (80.0%/76.0% vs 96.0%/100.0%; 76.2%/72.7% vs 93.3%/100.0%, respectively). ROI-based analysis of SUVmax on PET/CT images and CT numbers on VNCa images showed a significant difference between metastases and non-metastases (P < 0.001 each).
CONCLUSIONS: Pre-surgical evaluation by combination of whole-body 18F-FDG-PET/CT and dual-energy CT could improve the classification of SOM and may further guide the surgical decision-making in participants with NSCLC.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carcinoma; Neoplasm metastasis; Neoplasm staging; Non-small-cell lung; Positron emission tomography computed tomography; Tomography; X-ray computed

Mesh:

Substances:

Year:  2019        PMID: 31901595     DOI: 10.1016/j.lungcan.2019.10.032

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  5 in total

1.  Lung cancer with post-fracture healing changes causing difficulty in staging.

Authors:  Yutaka Takahara; Ikuyo Shionoya; Akihiro Shioya; Shohei Shinomiya; Taku Oikawa; Sohsuke Yamada; Shiro Mizuno
Journal:  Respir Med Case Rep       Date:  2022-06-25

2.  PET-enabled dual-energy CT: image reconstruction and a proof-of-concept computer simulation study.

Authors:  Guobao Wang
Journal:  Phys Med Biol       Date:  2020-12-17       Impact factor: 3.609

3.  Modified kernel MLAA using autoencoder for PET-enabled dual-energy CT.

Authors:  Siqi Li; Guobao Wang
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-07-05       Impact factor: 4.019

4.  Correlation of exosomal microRNA clusters with bone metastasis in non-small cell lung cancer.

Authors:  Xiao-Rong Yang; Can Pi; Ruoying Yu; Xiao-Jun Fan; Xiao-Xiao Peng; Xu-Chao Zhang; Zhi-Hong Chen; Xue Wu; Yang Shao; Yi-Long Wu; Qing Zhou
Journal:  Clin Exp Metastasis       Date:  2020-11-24       Impact factor: 5.150

Review 5.  Improving radiation physics, tumor visualisation, and treatment quantification in radiotherapy with spectral or dual-energy CT.

Authors:  Matthijs Ferdinand Kruis
Journal:  J Appl Clin Med Phys       Date:  2021-11-07       Impact factor: 2.102

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.