Relationship between 18F-FDG PET metabolic parameters and MRI intravoxel incoherent motion (IVIM) histogram parameters and their correlations with clinicopathological features of cervical cancer: evidence from integrated PET/MRI

Du, Siyao; Sun, Hongzan; Gao, Shijun; Xin, Jun; Lu, Zhao; Chen, Z.; Shen, Pan; Guo, Qiyong

doi:10.1016/j.crad.2018.11.003

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…8 Prior studies investigated the correlation between DWI-derived histogram parameters and PET metabolic parameters in patients with cervical cancer. 9,10 Other studies reported significant associations between PET/MRI biomarkers and several prognostic factors, including tumor size, grade, stage, and lymph node metastasis. [11][12][13] In addition, Surov et al reported that SUV and ADC were correlated with the tumor proliferation index Ki-67.…”

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confidence: 99%

“…Integrated PET/MRI can provide simultaneous PET and MRI data in a single examination and can be used as a functional imaging platform 8 . Prior studies investigated the correlation between DWI‐derived histogram parameters and PET metabolic parameters in patients with cervical cancer 9,10 . Other studies reported significant associations between PET/MRI biomarkers and several prognostic factors, including tumor size, grade, stage, and lymph node metastasis 11–13 .…”

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confidence: 99%

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PET/MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival

Shih

Yen

Chen

et al. 2020

Magnetic Resonance Imaging

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Background: Positron emission tomography (PET)/MRI biomarkers have been shown to have prognostic significance in patients with cervical cancer. Their associations with progression-free survival (PFS) and overall survival (OS) merit further investigation. Purpose: To evaluate the association between PET/MRI biomarkers and tumor stage, PFS, and OS in patients with cervical cancer. Study Type: Prospective cohort study. Population: In all, 54 patients with newly diagnosed cervical cancer and measurable tumors (>1 cm) were included in the image analysis. Field Strength/Sequence: 3.0T integrated PET/MRI including diffusion-weighted echo-planar imaging (b = 50 and 1000 s/mm 2) and [18F]fluorodeoxyglucose PET. Assessment: Two radiologists measured the minimum and mean apparent diffusion coefficient (ADC min and ADC mean), maximum standardized uptake value (SUV max), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary tumors. Statistical Tests: A Mann-Whitney U-test was used to evaluate the association between the imaging biomarkers and tumor stage. A Cox proportional hazards model was used to assess the relationships between the imaging biomarkers and survival. Results: In advanced tumors (T ≥ 1b2, M1, stage ≥ IB3), ADC min was significantly lower and MTV, TLG, MTV/ADC min , and TLG/ADC min were significantly higher (P values between <0.001 and 0.036). In N1 tumors, ADC min was significantly lower and MTV and MTV/ADC min were significantly higher (P values between 0.005 and 0.016). In survival analysis, SUV max was an independent predictor of PFS (hazard ratio [HR] = 4.57, P < 0.05), and ADC min was an independent predictor of OS (HR = 0.02, P < 0.05). In subgroup analysis of patients with different stages, MTV/ADC min was a predictor of PFS in stage I disease (P = 0.003), ADC min (P = 0.038), and MTV (P = 0.020) in stage II, SUV max (P = 0.006), and TLG (P = 0.006) in stage IV; and ADC min was a predictor of OS in stage III disease (P = 0.008). Data Conclusion: PET/MRI biomarkers of cervical cancer are associated with tumor stage and survival. SUV max and ADC min are independent predictors of PFS and OS, respectively. Level of Evidence: 1 Technical Efficacy: 3

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confidence: 99%

PET/MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival

Shih

Yen

Chen

et al. 2020

Magnetic Resonance Imaging

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“…In the present study, all data were measured by integrated PET-MRI. With the integrated device, a shortened scanning time, a reduced radiation dose, and the simultaneous PET and MRI parameters can be achieved, enabling combined multiparameter prediction and correlation [16][17][18][19]. The IVIM sequences was introduced into the present PET/MR study, which is an extension of diffusionweighted imaging (DWI) sequence, to PET/MRI.…”

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confidence: 99%

Combinative evaluation of primary tumor and lymph nodes to predict pelvic lymphatic metastasis in cervical cancer: an integrated PET-IVIM MRI study

Shi

et al. 2020

Cancer Imaging

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Background: The aim of this study was to evaluate the value of combining pelvic lymph node and tumor characteristics on positron emission tomography-intravoxel incoherent motion magnetic resonance (PET-IVIM MR) imaging for predicting lymph node metastasis in patients with cervical cancer, especially in those with negative lymph nodes on PET. Methods: The medical records of 95 patients with cervical cancer who underwent surgical resection with pelvic lymph node dissection were evaluated. The patients were divided into negative and positive groups according to postoperative pathologic lymph node diagnosis, and comparisons of the PET and IVIM-derived parameters between the two groups were performed. Univariate and multivariate analyses were performed to construct a predictive model of lymph node metastasis. Results: For all patients, tumor SUV max , TLG, D min , PET and MRI for lymph node diagnosis showed significant differences between patients with and without confirmed lymph node metastasis. Univariate and multivariate logistic analysis showed that the combination of tumor TLG, D min and PET for lymph node diagnosis had the strongest predictive value (AUC 0.913, p < 0.001). For patients with PET-negative lymph nodes, SUV max , SUV mean , MTV, TLG, and D min showed significant between-group differences, and univariate and multivariate logistic analysis showed that TLG had the strongest predictive value. Conclusions: The combination of tumorTLG, D min and PET for lymph node diagnosis is a powerful prognostic factor for all patients. TLG has the best predictive performance in patients with PET negative lymph nodes.

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“…Apparent diffusion coe cient (ADC) derived from the Gaussian diffusion model is a quantitative parameter of DWI, which has been shown as a possible imaging biomarker for predicting prognosis in many malignancies [11,12]. Intravoxel incoherent motion (IVIM) diffusion weighted imaging can accurately re ect the cell density and microcirculation state of tissues by effectively distinguishing water molecule movement from microcirculation perfusion, and e ciently evaluate microscopic information, such as the pathophysiological information, pathological type and grade of CC [9,13,14]. It was indicated that IVIM parameters as independent potential biomarkers could evaluate the pathological characteristics of CC [13].…”

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confidence: 99%

Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM

Zhong-hong

Peng

Lian

et al. 2023

Preprint

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Background Cervix Squamous cell carcinoma(CSCC) is the most common pathological subtypes of cervix carcinoma(CC). CSCC can be divided into poorly differentiated, moderately differentiated and well-differentiated types. The pathological differentiation is essential for the treatment and prognosis of CSCC. Compared with the well-differentiated CSCC patients, poorly differentiated CSCC patients have poor clinical prognosis. The biopsy is the golden standard for identifying pathological differentiation with the disadvantages including invasive. Therefore, an imaging method is needed to determine the degree of tumor differentiation before surgery. Purpose The objective is to explore APTw and IVIM values in diagnosing the differentiation degree of cervical squamous cell carcinoma (CSCC). Methods APTw was scanned by using 3D Multi-shot TSE for obtaining APT signal intensity (APT SI). IVIM was scanned by using 12 b values (0, 20, 100, 150, 200, 300, 400, 500, 600, 800, 1000 and 1200 s/mm2) to calculate parameters: D, D*, and f. ADC was calculated based on 2 b values (0, 800 s/mm2). The parameters among different groups were compared by t-tests. Diagnostic performance was evaluated with a ROC analysis. Results 56 patients and 30 healthy volunteers were included in study. Patients were divided into: a well-moderately differentiated group (n = 34) and a poorly differentiated group (n = 22). The parameters (APT SI, ADC, D, f) were statistically significantly different between CSCC and normal cervix. APT SI of the CSCC was higher than that of normal cervix (P < 0.001). The ADC, D, and f of the CSCC were lower than those of normal cervix (P < 0.001). Significant differences were found in APT SI and D between the well-moderately differentiated and poorly differentiated group (P < 0.001). Comparing the well-moderately differentiated and poorly differentiated group, AUC of APT SI, D and f were 0.789, 0.775 ,and 0.670, sensitivity were 72.73%, 68.18%, 77.27%, and specificity were 79.41%, 82.35%, 64.71%, respectively (P < 0.05). Conclusion APTw and IVIM can be used to diagnose CSCC and provide accurate quantitative information. Compared with IVIM, APTw has higher diagnostic performance in identifying the differentiation degree of CSCC.

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Relationship between 18F-FDG PET metabolic parameters and MRI intravoxel incoherent motion (IVIM) histogram parameters and their correlations with clinicopathological features of cervical cancer: evidence from integrated PET/MRI

Cited by 8 publications

References 31 publications

PET/MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival

PET/MRI in Cervical Cancer: Associations Between Imaging Biomarkers and Tumor Stage, Disease Progression, and Overall Survival

Combinative evaluation of primary tumor and lymph nodes to predict pelvic lymphatic metastasis in cervical cancer: an integrated PET-IVIM MRI study

Identifying pathological differentiation of cervical squamous cell carcinoma with APTw and IVIM

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