ABSTRACT
Objective To evaluate the value of transvaginal color Doppler ultrasonography for pathologic grading of endometrial cancer. Methods A total of 68 patients with histopathologic diagnosis of endometrial cancer were recruited as study subjects, and all patients underwent transvaginal color Doppler ultrasonography. The accuracy, sensitivity, specificity, positive predictive value, negative predictive value of transvaginal color Doppler ultrasonography for identification of myometrial invasion by endometrial cancer were evaluated among endometrial cancer patients with postoperative histopathological examinations as a gold standard. Results The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of transvaginal color Doppler ultrasonography were 70.0%, 67.9%, 75.7%, 61.3% and 69.1% for the detection of myometrial invasion by endometrial cancer, respectively. The resistance index values of left and right uterine arteries were both significantly higher in endometrial cancer patients with myometrial invasion ≤ 50% than those with myometrial invasion > 50% (P < 0.01), and the resistance index values of left and right uterine arteries increased with the reduced tumor grade among endometrial cancer patients (P < 0.05). Conclusion Transvaginal color Doppler ultrasonography shows a high accuracy for identification of myometrial invasion among endometrial cancer patients, which may be used as a non-invasive tool for preoperative pathologic grading of endometrial cancer.
ABSTRACT
Objective To search the specific biomarkers in serum of patients with silicosis for early diagnosis. Methods Surface enhanced laser desorption ionization-time of flight-mass spectrometry (SELDI-TOF-MS) was used to search the specific biomarkers in serum samples from 60 silica-exposed workers (20 with no silicosis served as 0 group, 20 with suspected silicosis as 0+ group and 20 with stage I silicosis as stage I group), and 20 healthy men with no silica exposure as control. Serum samples were analyzed using the new generation of weak cationic exchange chip (CM10, Ciphergen Biosystems, America) and the protein fingerprint automatically collected using ProteinChip Biology System (PBSII-C) instrumentation. The data were analyzed by Ciphergen ProteinChip and BioMarker Wizard software. Results Compared with control group, ten biomarkers were differentially expressed among all the silica-exposed workers (P