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Objective:To study the predictive value of combining alpha-feto protein (AFP) with contrast-enhanced MRI imaging features in predicting incidence of microvascular invasion (MVI) in patients with hepatocellular carcinoma.Methods:The data of 206 patients with hepatocellular carcinoma treated at Tianjin Medical University Cancer Institute and Hospital from January 2017 to April 2019 were retrospectively analyzed. There were 179 males and 27 females, with an average age of 58.7 years. The roles of preoperative MRI imaging features and clinical data on predicting the incidence of MVI in patients with hepatocellular carcinoma were evaluated by univariate and multivariate logistic regression analyses. Multivariable regression analysis was then used to plot a nomogram.Results:There were 86 patients (41.7%) with MVI positivity and 120 patients (58.3%) with MVI negativity. Multivariate logistic regression analysis showed that AFP >400 μg/L ( OR=3.318, 95% CI: 1.243-8.855, P=0.017), two-trait predictor of venous invasion (TTPVI) ( OR=13.111, 95% CI: 6.797-28.119, P<0.001), diffusion weighted imaging/T 2 weighted imaging (DWI/T 2WI) mismatch ( OR=17.233, 95% CI: 4.731-44.490, P<0.001), and rim enhancement( OR=5.665, 95% CI: 2.579-18.152, P=0.013) predicted increased risks of MVI in patients with hepatocellular carcinoma. The constructed nomogram directly predicted the risk of MVI in these patients. Conclusions:AFP>400 μg/L, TTPVI, DWI/T 2WI mismatch and rim enhancement were independent risk factors in predicting MVI in patients with hepatocellular carcinoma. This predictive model of MVI which was based on multivariate logistic regression analysis was helpful to clinicians in making individualized treatment plans for patients with hepatocellular carcinoma.
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To investigate the correlation between magnetic resonance imaging (MRI) features and tumor risk grade of gas-trointestinal stromal tumors (GISTs). Methods: Between September 2007 to December 2017, 54 patients who underwent MRI and were pathologically diagnosed in Tianjin Medical University Cancer Institute and Hospital were retrospectively reviewed. We analyzed MRI features including the size, location, shape, boundary, and growth pattern of the tumor; cystic necrosis; metastasis; T1WI and T2WI signal intensities; enhancement signal intensity-time (SIT) curve pattern; and average apparent diffusion coefficient (ADC) val-ues. The MRI features were compared with the tumor risk grade. Results: Of the 54 cases, 16 were of low-risk grade, 13 were of inter-mediate-risk grade, and 25 were of high-risk grade. Statistical analysis showed that tumor size, location, shape, boundary, cystic necro-sis, signal intensity, and average ADC values were correlated with tumor risk grade (P<0.05). However, tumor growth pattern, metasta-sis, and enhancement SIT curve pattern were not correlated with tumor risk grade (P>0.05). GISTs with higher aggressive features were more likely to have larger size, irregular shape, unclear boundary, cystic necrosis, heterogeneous signal intensity, and lower ADC values on MRI. Conclusions: MRI has the potential to predict the risk grade of GISTs before surgery, thereby guiding clinical manage-ment, and evaluating prognosis.
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Objective: To investigate the prognostic value of chest computed tomography (CT) characteristics in crizotinib-treated pa-tients with advanced non-small cell lung cancer (NSCLC). Methods: Forty-seven patients with advanced ALK-rearranged NSCLC who re-ceived crizotinib treatment from January 2014 to March 2017 were enrolled in this retrospective study. Pre-treatment CT characteris-tics were evaluated. Patients were followed up after crizotinib treatment, and the best overall response and progression-free survival (PFS) were assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST version 1.1). Results: The median PFS of all patients was 10 months. There was no association between CT characteristics and response. In univariate analysis, large tumor size (P=0.009), central type (P=0.002), consolidation of surrounding lung tissue (P=0.002), pleural effusion (P=0.001), and lymphangitic carcino-matosis (P=0.019) suggested a poor prognosis. Multivariate Cox regression analysis showed that location (hazard ratio, 3.219; 95% con-fidence interval: 1.517-6.833; P=0.002) was an independent prognostic predictor. Conclusions: Pre-treatment CT characteristics are useful in predicting the PFS of crizotinib-treated patients with advanced NSCLC harboring ALK rearrangement.
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Objective To discuss the diagnostic value of contrast-enhanced ultrasonography in differentiating benign and malignant tumor of pelvic cavity.Methods From October 2014 to January 2016,abdominal ultrasonography or trans-vaginal ultrasonography were performed among outpatients and inpatients in the First Affiliated Hospital of Kunming Medical University.We found 62 cases with pelvic cavity tumors with 64 lumps,which were detected at cystic mass,cystic-solid mass,and solid mass in conventional ultrasonography.We made the diagnosis of all the lumps by performing contrast-enhanced ultrasonography,observing the infusion process and analyzing perfusion pattern,the intensity of perfusion and time intensity curve.By contrasting the diagnosis and the pathologic and long-term follow-up results,we classified the tumors into two groups,benign and malignant.Then we analyzed the time intensity curve and imaging parameters of the two groups.Restlts Among the total 64 lumps,43 was found in the group of benign tumor and 21 in the group of malignant tumor.Sixty-two were proved by pathologic results and 2 were proved by long-term follow-up results.Benign tumors showed that the infusion flowed from the peripheral to the center and enhanced equably and the vessels were regularly shaped.Malignant tumor showed that the infusion infiltrated from the center to the peripheral and enhanced quickly and unequally,and vessels were distorted.In the time intensity curve,group of benign tumors presented a gently slow raise and fall type,and group of malignant tumors showed a quickly raise and fall type.Rise time (RT) of malignant group (7.70 ± 2.56s) was shorter than benign group (11.40 ± 6.77s) (P＜0.05).Peak intensity (PI) of malignant group (16.30 ± 7.41dB) was higher than benign group (12.12 ± 6.70dB) (P＜0.05).Area Under the Curve (AUC) of malignant group (981.65 ± 548.04 dB s) was bigger than benign group (715.22 ± 651.04dB s) (P＜ 0.05).No difference was found between two groups in Time to Peak (TP) and Mean Transit Time (MTF) (P＞ 0.05).The sensitivity,specificity,positive and negative predictive value of contrast-enhanced ultrasonography were 95.2％,93.0％,86.9％,and 97.5％ respectively.Conclusion Contrast-enhanced ultrasonography ean show an eligible blood perfusion and vascularity of lumps.Analyzing perfusion pattern,time intensity curve,and other parameters can improve capacity of diagnosing and differentiating benign tumor and malignant tumor of pelvic cavity.
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Objective To summarize the features of multislice spiral computed tomography (MSCT) examination of gastrointestinal stromal tumors (GISTs),and investigate the relationship between predictors and risk of MSCT examination for GISTs.Methods The clinical data of 110 patients with GISTs who were admitted to the Tianjin Medical University Cancer Institute and Hospital from July 2011 to February 2014 were retrospectively analyzed.All the patients received 64-slices spiral CT (64S-SCT) or 16-slices spiral CT (16S-SCT) scan,and the data were transported to the PACS work station for multiplanar reconstruction.All the tumor samples were collected during operation and diagnosed by morphological manifestation and immunohistochemistry of tumors.Very low,low,and medium risk of GISTs were regarded as lower risk grade,and high risk of GISTs as high risk grade.The univariate analysis and multivariate analysis about features of imaging and risk were done by chi-square test and multivariate logistic regression model.Results Tumors located at the stomach in 81 cases,small intestines in 26 cases and colorectum in 3 cases.Diameter of tumors was 0.8-25.0 cm.Smaller tumors were in round or oval shape with well demarcated boundary,and larger tumors were irregular with unclear boundary.Endo-luminal growth of lessions was detected in 25 cases,duplex growth in 35 cases and extra-luminal growth in 50 cases.Enhanced CT scan showed that most of tumors in 105 patients demostrated moderate and high enhancement,heterogeneous enhancement in 74 cases,low density sacvariable necrosis area without enhancement in 60 cases and superficial,cracked-like and deep ulcer without calcification,metastasis and ascites in 23 cases.According to the features of GISTs by MSCT examination,location of tumor,diameter,shape,boundary,growth,enhancement,cystic necrosis,ulcer and metastasis were risk factors affecting risk classification of tumors by univariate analysis (x2=7.442,49.966,31.513,46.038,13.836,16.626,23.489,8.280,6.811,P ＜0.05).Diameter of tumor more than 10 cm and ulcer were independent risk factors affecting risk classification of tumors by multivariate analysis (OR =9.927,0.070 ; 95％ confidence intewal:1.888-52.180,0.012-0.398,P ＜ 0.05).Conclusion There is a characterization in the location,diameter,shape,boundary of tumor,growth,enhancement,cystic necrosis,ulcer and metastasis,and diameter of tumor more than 10cm and ulcer are independent risk factors affecting the risk classification of GISTs.
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Objective:This study is to improves the understanding of adenoid cystic carcinoma (ACC) of the tracheobronchial tree by observing the multi-slice cornputed tomography (MSCT) features. Methods:The MSCT features of 19 cases with primary tra-cheobronchial ACC confirmed by histopathology were retrospectively analyzed. Results:Among the 19 cases, lesions were located in the trachea in seven cases, in the segmental and above segmental bronchi in 10 cases, in the peripheral lung in two cases. Intra-and ex-traluminal growth were observed in 15 cases (79%), whereas broad-based intraluminal lesions were exhibited in two cases (11%). Among the seven cases of tracheal ACC, the CT scans for five cases showed a notable tendency toward submucosal extension. Two cas-es manifested as a diffuse or circumferential wall thickening of the trachea, and the other three cases presented homogeneous mass fill-ing of the trachea with wall thickening. The 10 cases with bronchial ACC were manifested as intra-and extraluminal growth. Eight cas-es presented homogeneous polypoid growth toward the adjacent lumen, and seven cases presented extraluminal parts that were larger than the intraluminal parts. Among 13 contrast-enhanced examinations, three cases were without enhancement, five cases were slightly enhanced, four cases were moderately enhanced, and one case was highly enhanced. Conclusion:MSCT performances of ACC of the tracheo-bronchial tree possessed certain characteristics, such as broad-based mass, intra- and extraluminal growth, and diffuse wall thickening. CT can diagnose tumor malignancy, but the definitive diagnosis for ACC should depend on pathology.