Texture analysis of CT images in predicting malignancy risk of gastrointestinal stromal tumours

AIM

To explore the role of texture analysis of computed tomography (CT) images in predicting the malignancy risk of gastrointestinal stromal tumours (GISTs).

MATERIALS AND METHODS

Seventy-eight patients with histopathologically confirmed GISTs underwent preoperative CT. Texture analysis was performed on unenhanced and contrast-enhanced CT images, respectively. Fourteen CT texture parameters were obtained and compared among GISTs at different malignancy risks with one-way analysis of variance or independent-samples Kruskal-Wallis test. Correlations between CT texture parameters and malignancy risk were analysed with Spearman's correlation test. Diagnostic performance of CT texture parameters in differentiating GISTs at low/very low malignancy risk was tested with receiver operating characteristic (ROC) analysis.

RESULTS

Three parameters on unenhanced images (r=-0.268-0.506), four parameters on arterial phase (r=-0.365-0.508), and six parameters on venous phase (r=-0.343-0.481) imaging correlated significantly with malignancy risk of GISTs, respectively (all p<0.05). For identifying GISTs at low/very low malignancy risk, three parameters on unenhanced images (area under ROC curve [AUC], 0.676-0.802), four parameters on arterial phase (AUC, 0.637-0.811), and six parameters on venous phase (AUC, 0.636-0.791) imaging showed significant diagnostic performance, respectively (all p<0.05), especially maximum frequency on both unenhanced and contrast-enhanced images (AUC, 0.791-0.811).

CONCLUSION

Texture analysis of CT images holds great potential to predict the malignancy risk of GISTs preoperatively.

miR-214 modulates cisplatin sensitivity of osteosarcoma cells through regulation of anaerobic glycolysis

Osteosarcoma is the most frequent primary bone tumor originating from adolescents and young adults. Despite improvements in the chemo- or radio- therapy of osteosarcoma patients, survival rate has not increased and drug resistance becomes a major factor that limits the effectiveness. Therefore, investigation of new treatment modalities is urgently required to optimize therapeutic options. Our previous study described an oncogenic role of miR-214 through promotion of osteosarcoma cells proliferation. In this study, we report miR-214 contributes to cisplatin resistance in osteosarcoma cells. Overexpression of miR-214 decreased the cisplatin sensitivity. By establishing an osteosarcoma cisplatin resistant cell line, we find miR-214 is significantly upregulated in cisplatin resistant cells. Moreover, we show miR-214 promotes anaerobic glycolysis rates of osteosarcoma cells but suppresses mitochondrial oxidative phosphorylation. Consistently, cisplatin resistant cells exhibit upregulated glycolysis but decreased mitochondrial oxidative phosphorylation, a phenotype called "Warburg effect". Finally, we demonstrate inhibition of glycolysis by either glycolysis inhibitor or miR-214 inhibition significantly re-sensitizes cisplatin resistant osteosarcoma cells. In summary, this study illustrates a miRNA-involved chemosensitivity of osteosarcoma and will contribute to the developments of therapeutic agents for the anti-chemoresistance treatments.

Quantitative imaging of Candida utilis and its organelles by soft X-ray Nano-CT

Soft X-ray microscopy has excellent characteristics for imaging cells and subcellular structures. In this paper, the yeast strain, Candida utilis, was imaged by soft X-ray microscopy and three-dimensional volumes were reconstructed with the SART-TV method. We performed segmentation on the reconstruction in three dimensions and identified several types of subcellular architecture within the specimen cells based on their linear absorption coefficient (LAC) values. Organelles can be identified by the correlation between the soft X-ray LAC values and the subcellular architectures. Quantitative analyses of the volume ratio of organelles to whole cell in different phases were also carried out according to the three-dimensional datasets. With such excellent features, soft X-ray imaging has a great influence in the field of biological cellular and subcellular research.

Correlation between diffusion tensor imaging parameters and clinical assessments in patients with cervical spondylotic myelopathy with and without high signal intensity

STUDY DESIGN

A cross-sectional observational study.

OBJECTIVES

The aim of this study is to compare the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) between patients with cervical spondylotic myelopathy (CSM) with and without high T2-weighted signal intensity, and to correlate each parameter with clinical assessments.

SETTING

CSM is a common cause of spinal cord dysfunction. The significance of T2 high signal intensity in the prognosis of CSM remains controversial.

METHODS

Diffusion tensor imaging was performed at the cervical spinal cord in 40 patients with CSM and 42 healthy subjects. Patients with high signal intensity were separated from those without high signal intensity. ADC and FA values were compared among different groups, and the correlation between each parameter and the modified Japanese Orthopedic Association (mJOA) score was examined.

RESULTS

The ADC and FA values of C2/3 differed significantly from those of C5/6 and C6/7 in healthy subjects. Patients with CSM had a higher ADC but a lower FA value than did healthy subjects. In all patients with CSM, there was a negative linear correlation between ADC and mJOA score, but FA value correlated positively with mJOA score. Secondary analysis suggested that FA value in patients with high signal intensity was lower than that in patients without high signal intensity. FA value showed a positive linear correlation with mJOA score in the patients with high signal intensity but not in the patients without high signal intensity.

CONCLUSIONS

Patients with high signal intensity may have more severe spinal cord injury than patients without high signal intensity, and FA may be a useful indicator of functional status in patients with CSM with high signal intensity.