The correlation between molecular pathological profiles and metabolic parameters of 18F-FDG PET/CT in patients with gastroesophageal junction cancer

Song, Ji‐Hyun; Li, Zhongwu; Chen, Puyun; Zhou, Nina; Zhang, Yan; Yang, Zhi; Wang, Xuejuan

doi:10.1007/s00261-019-02065-5

Cited by 6 publications

(9 citation statements)

References 29 publications

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“…All patients fasted for at least 6 h previously and presented with a blood glucose level lower than 10 mmol/L. Attenuation weighted ordered-subsets expectation maximization (AW-OSEM) iterative algorithm with 4 iterations and 8 subsets, Gaussian filter with 4.0 mm full width at half maximum (FWHM) and scatter correction were used for reconstruction [16].…”

Section: F-fdg Pet/ctmentioning

confidence: 99%

“…Fluorine 18 ( 18 F) fluorodeoxyglucose (FDG) PET/CT is a valuable molecular imaging modality that is a less invasive tool in the management of patients with CRC [15] . Despite imaging techniques being critical in the preoperative workup for diagnosis or prognostication, some correlation exist between pretreatment image findings and genomic expression in malignant disease, such as c-Met status in gastric cancer [16] and PD-L1 expression in lung cancer [17]. Similarly, Chung et al have shown MSI status to be correlated with 18 F-FDG uptake in gastric cancer [18].…”

Section: Introductionmentioning

confidence: 99%

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Metabolic activity via 18F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer

Song

Yang

et al. 2022

BMC Cancer

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Purpose Identification of microsatellite instability high (MSI-H) colorectal cancer (CRC) is crucial for screening patients most likely to benefit from immunotherapy. We aim to investigate whether the metabolic characteristics is related to MSI status and can be used to predict the MSI-H CRC. Methods A retrospective analysis was conducted on 420 CRC patients who were identified via [18F]fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography(CT) prior to therapy. Maximum standardized uptake (SUVmax), mean standardized uptake (SUVmean), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of the primary tumor were calculated and compared between MSI-H and microsatellite stability (MSS). Predictive factors of MSI status were selected from metabolic parameters and clinicopathological profiles via a multivariate analysis. Results Of 420 colorectal cancers, 44 exhibited a high incidence of MSI. Both MTV and TLG were significantly higher in MSI-H group compared with the MSS group (P = 0.004 and P = 0.010, respectively). Logistic regression analysis indicated that CRC with MSI-H were related to younger age (P = 0.013), primary lesion located at right hemi-colon (P < 0.001) and larger MTV on PET/CT imaging (P = 0.019). MTV more than 32.19 of colorectal cancer was linked to the presence of MSI (P = 0.019). Conclusion Tumor metabolic burden were higher in MSI-H CRC which may be useful for predicting the MSI status of CRC patient and thus aid in determination of immunotherapy for patients with CRC.

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Section: F-fdg Pet/ctmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolic activity via 18F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer

Song

Yang

et al. 2022

BMC Cancer

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“…Patients with HER2-positive gastric cancer had a higher SUVmax than did HER2-negative patients. However, Jinlin Song et al (28) found in a study of the relationship between the pathological features of gastroesophageal junction cancer and 18F-FDG PET/CT, that there is no significant correlation between SUVmax and the HER2 status of gastroesophageal junction cancer. This also proves that the related risk factors for the HER2 status of tumors at the gastroesophageal junction are different from those of gastric cancer.…”

Section: Discussionmentioning

confidence: 99%

“…The studies of Park et al. ( 27 ) showed that 18F-FDG PET/CT can use the SUVmax value to correlate with HER2 status. Patients with HER2 -positive gastric cancer had a higher SUVmax than did HER2 -negative patients.…”

Section: Discussionmentioning

confidence: 99%

The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram

et al. 2021

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PurposeWe developed and validated a CT-based radiomics nomogram to predict HER2 status in patients with adenocarcinoma of esophagogastric junction (AEG).MethodA total of 101 patients with HER2-positive (n=46) and HER2-negative (n=55) esophagogastric junction adenocarcinoma (AEG) were retrospectively analyzed. They were then randomly divided into a training cohort (n=70) and a verification cohort (n=31). The radiomics features were obtained from the portal phase of the CT enhanced scan. We used the least absolute shrinkage and selection operator (LASSO) logistic regression method to select the best radiomics features in the training cohort, combined them linearly, and used the radiomics signature formula to calculate the radiomics score (Rad-score) of each AEG patient. A multivariable logistic regression method was applied to develop a prediction model that incorporated the radiomics signature and independent risk predictors. The prediction performance of the nomogram was evaluated using the training and validation cohorts.ResultIn the training (P<0.001) and verification groups (P<0.001), the radiomics signature combined with seven radiomics features was significantly correlated with HER2 status. The nomogram composed of CT-reported T stage and radiomics signature showed very good predictive performance for HER2 status. The area under the curve (AUC) of the training cohort was 0.946 (95% CI: 0.919–0.973), and that of the validation group was 0.903 (95% CI: 0.847–0.959). The calibration curve of the radiomics nomogram showed a good degree of calibration. Decision-curve analysis revealed that the radiomics nomogram was useful.ConclusionThe nomogram CT-based radiomics signature combined with CT-reported T stage can better predict the HER2 status of AEG before surgery. It can be used as a non-invasive prediction tool for HER2 status and is expected to guide clinical treatment decisions in clinical practice, and it can assist in the formulation of individualized treatment plans.

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“…[ 18 F]Fluorodeoxyglucose ( 18 F-FDG) positron emission tomography (PET) is an important molecular imaging modality that is a less invasive tool for diagnosis, treatment response monitoring, surveillance, and prognostication of CRC [14] . Despite imaging techniques being critical in the preoperative workup for treatment decisions, some correlation studies exist between pretreatment image ndings and genomic expression in patients with malignant disease, such as c-Met status in gastric cancer [15] and PD-L1 expression in lung cancer [16]. Similarly, Chung et al have shown MSI status to be correlated with 18 F-FDG uptake in gastric cancer [17].…”

Section: Introductionmentioning

confidence: 99%

Metabolic Activity Via 18 F-FDG PET/CT is Predictive of Microsatellite Instability Status In Colorectal Cancer

Song

Wei

Wang

2021

Preprint

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Purpose: Identification of microsatellite instability high (MSI-H) colorectal cancer (CRC) is crucial for screening patients most likely to benefit from immunotherapy. We aim to investigate whether the metabolic characteristics is related to MSI status and can be used to predict the MSI-H CRC. Methods: A retrospective analysis was conducted on 420 CRC patients who were identified via [18F]fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography(CT) prior to therapy. Maximum standardised uptake (SUVmax), mean standardised uptake (SUVmean), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) of the primary tumour were calculated and compared between MSI-H and microsatellite stability (MSS). Predictive factors of MSI status were selected from metabolic parameters and clinicopathological profiles via a multivariate analysis.Results: Of 420 colorectal cancers, 44 exhibited a high incidence of MSI. Both MTV and TLG were significantly higher in MSI-H group compared with the MSS group (P=0.004 and P=0.010, respectively). Logistic regression analysis indicated that CRC with MSI-H were related to younger age (P=0.013), primary lesion located at right hemi-colon (P<0.001) and larger MTV on PET/CT imaging (P=0.019). MTV more than 32.19 cm3 of colorectal cancer was linked to the presence of MSI (P=0.019). Conclusion: Tumor metabolic burden were higher in MSI-H CRC which may be useful for predicting the MSI status of CRC patient and thus aid in determination of immunotherapy for patients with CRC.

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The correlation between molecular pathological profiles and metabolic parameters of 18F-FDG PET/CT in patients with gastroesophageal junction cancer

Cited by 6 publications

References 29 publications

Metabolic activity via 18F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer

Metabolic activity via 18F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer

The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram

Metabolic Activity Via 18 F-FDG PET/CT is Predictive of Microsatellite Instability Status In Colorectal Cancer

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