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Clinical Articles
The value of monoexponentia, fractional order calculus models and 18F-FDG PET imaging in evaluating the proliferation status of lung adenocarcinoma
LUO Yu  MENG Nan  HUANG Zhun  WEI Wei  LI Ziqiang  FU Fangfang  YUAN Jianmin  WANG Zhe  WANG Meiyun 

Cite this article as: Luo Y, Meng N, Huang Z, et al. The value of monoexponentia, fractional order calculus models and 18F-FDG PET imaging in evaluating the proliferation status of lung adenocarcinoma[J]. Chin J Magn Reson Imaging, 2022, 13(10): 121-126. DOI:10.12015/issn.1674-8034.2022.10.018.


[Abstract] Objective To explore the value of monoexponential, fractional order calculus (FROC) models based on diffusion weighted imaging (DWI) and 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG PET) in assessing the proliferation status of lung adenocarcinoma.Materials and Methods A total of 64 patients with lung adenocarcinoma confirmed by pathology in our hospital were included. The expression of Ki-67 in lung cancer tissues was detected by immunohistochemistry and divided into the high Ki-67 group (>25%) and the low Ki-67 group (≤25%). Before treatment, all patients underwent a dedicated thoracic 18F-FDG PET/MR examination. The DWI was scanned with 10 b-values (0-1000 s/mm2). The apparent diffusion coefficient (ADC), a microstructural quantity (μ), diffusion coefficient (D), fractional order parameter (β) and maximum standardized uptake value (SUVmax) were compared between the two groups. The independent predictors of Ki-67 proliferative status were analyzed by multivariate logistic regression, receiver operating characteristic (ROC) curve was used to evaluate the discriminant performance, and the correlation between each parameter and Ki-67 was analyzed.Results The ADC, D, and β values in the low Ki-67 group were significantly higher than in the high Ki-67 group (P<0.05), and the μ and SUVmax values in the high Ki-67 group were significantly higher than in the low Ki-67 group (P<0.05). The area under the curve (AUC) of parameters D and SUVmax were 0.873 and 0.727, respectively, and multivariate logistic regression showed that parameters D (OR: 0.421, 95% CI: 0.245-0.723, P=0.002) and SUVmax (OR: 1.022, 95% CI: 1.002-1.042, P=0.031) were independent risk factors for high Ki-67 expression. ADC and D values were negatively correlated with Ki-67 (r=-0.361, r=-0.420), and μ and SUVmax values were positively correlated with Ki-67 (r=0.369, r=0.527).Conclusions Monoexponential, FROC models and 18F-FDG PET are effective methods to evaluate the proliferation status of lung adenocarcinoma, and the D value of FROC model shows the highest diagnostic performance. FROC model provides a new perspective for exploring the information of tumor tissue microenvironment, and has great potential in non-invasive evaluation of lung adenocarcinoma proliferation, and its clinical application has broad prospects.
[Keywords] lung adenocarcinoma;Ki-67;monoexponential;fractional order calculus model;18F-fluorodeoxyglucose-positron emission tomography;magnetic resonance imaging;differential diagnosis

LUO Yu1, 2   MENG Nan1, 2   HUANG Zhun3   WEI Wei2   LI Ziqiang4   FU Fangfang2   YUAN Jianmin5   WANG Zhe5   WANG Meiyun2*  

1 Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou 450000, China

2 Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou 450000, China

3 Department of Medical Imaging, Henan University People's Hospital & Henan Provincial People's Hospital, Zhengzhou 450000, China

4 Department of Medical Imaging, Xinxiang Medical University & Henan Provincial People's Hospital, Zhengzhou 450000, China

5 Central Research Institute, Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201807, China

Wang MY, E-mail: mywang@zzu.edu.cn

Conflicts of interest   None.

Received  2022-04-11
Accepted  2022-10-09
DOI: 10.12015/issn.1674-8034.2022.10.018
Cite this article as: Luo Y, Meng N, Huang Z, et al. The value of monoexponentia, fractional order calculus models and 18F-FDG PET imaging in evaluating the proliferation status of lung adenocarcinoma[J]. Chin J Magn Reson Imaging, 2022, 13(10): 121-126.DOI:10.12015/issn.1674-8034.2022.10.018

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