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1.
Chinese Journal of Gastrointestinal Surgery ; (12): 448-450, 2013.
Article in Chinese | WPRIM | ID: wpr-357214

ABSTRACT

<p><b>OBJECTIVE</b>To test whether the tumor vessel density (TVD) from the enhanced spiral CT can preoperatively predict nodal status and distant metastasis of colorectal cancer.</p><p><b>METHODS</b>Forty cases of colorectal cancer patients who received surgical treatment were included in this study. The three dimensional tumor vessels were reconstructed by an enhanced CT 64-slice spiral CT and its AW4.4 image processing platform. The TVD was measured by the 1000 high-resolution color graphics pathological analysis system. The TVD level was compared between different tumor size, classification, and TNM stage. The postoperative pathological staging was taken as golden standard.</p><p><b>RESULTS</b>The sensitivity, specificity and accuracy for direct prediction of lymph node metastasis by the enhanced CT 64-slice spiral CT was 74.1%(20/27), 53.8%(7/13) and 67.5%(27/40) respectively. The TVD from the reconstructed three dimensional tumor vessels in the group with lymph node metastasis was significantly higher than that without metastasis(0.070±0.046 vs. 0.037±0.013, P<0.05). The TVD in the distant metastasis group was significantly higher than that without distant metastasis (0.130±0.032 vs. 0.049±0.030, P<0.01). No difference of TVD was found between different tumor size, invasion depth, and differentiation type.</p><p><b>CONCLUSION</b>TVD level from the reconstructed three dimensional tumor vessels can indicate lymph node and distant metastasis of colorectal cancer.</p>


Subject(s)
Humans , Colorectal Neoplasms , Lymph Nodes , Lymphatic Metastasis , Neoplasm Staging , Tomography, Spiral Computed
2.
Chinese Medical Journal ; (24): 2109-2114, 2012.
Article in English | WPRIM | ID: wpr-244403

ABSTRACT

<p><b>BACKGROUND</b>The global outbreak of influenza A (H1N1) has led to the Ministry of Health of China listing it as one of the A-class infectious diseases. Pneumonia is the most serious complication of influenza A, commonly causing death. Populations are ordinarily susceptible to influenza A. This study aimed to investigate the imaging manifestation features of critical influenza A (H1N1) pneumonia and to improve its diagnostic techniques.</p><p><b>METHODS</b>A total of seven death cases from critical influenza A (H1N1) pneumonia were retrospectively analyzed on their imaging manifestations and autopsy data. Pulmonary CT scanning was performed for five cases, with one receiving additional chest X-ray and chest CT scanning, and chest postero-anterior position X-ray examination was performed for other two. Autopsy was performed for five cases and postmortem examinations were performed for other two cases.</p><p><b>RESULTS</b>The seven cases of influenza A showed critical manifestations in 4 - 7 days after symptoms onset, with two having basic diseases of diabetes and one being pregnant. Extensive blurry high-density shadows of bilateral lungs were found in three cases, which were most obvious in middle and inferior parts of lungs. Pulmonary CT scanning revealed bilateral flaky parenchymal shadows in peripheral, dorsal and fundus segments of the middle-inferior parts of lungs, with one case of complicated pneumothorax, atelectasis and pleural effusion and another case of thin-walled cavity and dilated bronchi shadows in the superior parts of lungs.</p><p><b>CONCLUSIONS</b>Diagnostic imaging is an important assessing tool for critical influenza A (H1N1) pneumonia. The imaging manifestations are characteristic instead of being specific. The definitive diagnosis can be made in combination with clinical examinations and laboratory tests.</p>


Subject(s)
Adolescent , Adult , Child , Child, Preschool , Female , Humans , Male , Middle Aged , Pregnancy , Young Adult , Influenza A Virus, H1N1 Subtype , Virulence , Influenza, Human , Diagnosis , Diagnostic Imaging , Virology , Radiography , Retrospective Studies
3.
Chinese Medical Journal ; (24): 380-384, 2011.
Article in English | WPRIM | ID: wpr-321498

ABSTRACT

<p><b>BACKGROUND</b>Colonic polyps are frequently encountered in clinics. Computed tomographic colonography (CTC), as a painless and quick detection, has high values in clinics. In this study, we evaluated the application value of computer-aided detection (CAD) in CTC detection of colonic polyps in the Chinese population.</p><p><b>METHODS</b>CTC was performed with a GE 64-row multidetector computed tomography (MDCT) scanner. Data of 50 CTC patients (39 patients positive for at least one polyp of ≥ 0.5 cm in size and the other 11 patients negative by endoscopic detection) were retrospectively reviewed first without computer-aided detection (CAD) and then with CAD by four radiologists (two were experienced and another two inexperienced) blinded to colonoscopy findings. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of detected colonic polyps, as well as the areas under the ROC curves (Az value) with and without CAD were calculated.</p><p><b>RESULTS</b>CAD increased the overall sensitivity, specificity, positive predictive value, negative predictive value and accuracy of the colonic polyps detected by experienced and inexperienced readers. The sensitivity in detecting small polyps (5 - 9 mm) with CAD in experienced and inexperienced readers increased from 82% and 44% to 93% and 82%, respectively (P > 0.05 and P < 0.001). With the use of CAD, the overall false positive rate and false negative rate for the detection of polyps by experienced and inexperienced readers decreased in different degrees. Among 13 sessile polyps not detected by CAD, two were ≥ 1.0 cm, eleven were 5 - 9 mm in diameter, and nine were flat-shaped lesions.</p><p><b>CONCLUSIONS</b>The application of CAD in combination with CTC can increase the ability to detect colonic polyps, particularly for inexperienced readers. However, CAD is of limited value for the detection of flat polyps.</p>


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , Colonic Polyps , Diagnosis , Diagnostic Imaging , Colonography, Computed Tomographic , Methods , Retrospective Studies , Sensitivity and Specificity
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