Long non-coding ribonucleic acid H19 and ten-eleven translocation enzyme 1 messenger RNA expression levels in uterine fibroids may predict their postoperative recurrence.

OBJECTIVES: To investigate the predictive value of long non-coding RNA (lncRNA) H19 and the ten-eleven translocation enzyme 1 (TET1) transcriptional expression in postoperative recurrence of uterine fibroids (UFs). METHODS: Seventy-five patients with UF, who underwent surgical treatment, were enrolled in the treatment group, and 60 healthy individuals were enrolled in the control group. The relative expression levels of lncRNA H19 and TET1 mRNA in the serum and UF tissues were analyzed. The patients were further divided into a better curative (BC) group and a poor efficacy (PE) group to analyze the predictive value of lncRNA H19 and TET1 and the independent risk factors affecting the recurrence of UF. RESULTS: Compared with the control group, lncRNA H19 expression levels were significantly higher, while TET1 expression levels were significantly lower in the treatment group (p<0.001). The area under the receiver operating characteristic (ROC) curve (AUC) values of the two indicators for diagnostic importance were found to be 0.872 and 0.826, respectively. Compared with the PE group, lncRNA H19 expression levels were significantly lower, while TET1 expression levels were significantly higher in the BC group (p<0.001). The AUC values of the two indicators for their predictive efficacy were 0.788 and 0.812, respectively. Logistic regression analysis showed that age, menarche age, maximum diameter of UFs, number of UFs, lncRNA H19 levels, and TET1 levels were independent risk factors affecting UF recurrence. The AUC values of lncRNA H19 and TET1 for their predictive value for postoperative recurrence were 0.814 and 0.765, respectively. CONCLUSIONS: The lncRNA H19 and TET1 have high diagnostic and predictive efficacy for determining the postoperative recurrence of UFs.

CT, MRI, and PET imaging features in cervical cancer staging and lymph node metastasis.

OBJECTIVE: To assess the computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) fusion imaging technique features in cervical cancer staging and lymph node metastasis. METHODS: A total of 196 cervical cancer patients undergoing CT, MRI, PET/CT, and PET/MRI preoperatively were enrolled. The diagnostic accuracy and detection rates for paracervical invasion were evaluated on the basis of the International Federation of Gynecology and Obstetrics (FIGO) staging classification for cervical cancer. The diagnostic efficacy of each examination modality for determining lymph node metastasis was evaluated using surgical pathology as a reference. The CT and MRI imaging features of lymph node metastasis were compared. RESULTS: PET/MRI had a higher diagnostic accuracy for cervical cancer (94.90%) than PET/CT, MRI, and CT (83.67%, 75.51%, and 69.39%) (P < 0.05). PET/MRI showed a higher detection rate of vaginal invasion, uterine invasion, bladder invasion, and cervical invasion than PET/CT, MRI, and CT (P < 0.05). The metastasis group showed higher maximum long and short axis diameters and axial ratios than the non-metastasis group (P < 0.05). The metastasis group had higher wash-in rates (WIR), maximum relative enhancements (MRE), wash-out ratios (WOR), and apparent diffusion coefficients (ADC), and lower times to peak (TTP) than the non-metastasis group (P < 0.05). The sensitivity (94.74%), specificity (93.33%), and accuracy (93.88%) of PET/MRI in the diagnosis of cervical cancer lymph node metastasis were higher than the sensitivity, specificity, and accuracy of PET/CT, MRI and CT (P < 0.05). CONCLUSION: CT, MRI, PET/CT and PET/MRI can be used effectively in the diagnosis of cervical cancer staging and lymph node metastasis, among which PET/MRI has a higher diagnostic sensitivity, specificity, and accuracy and is helpful in clinical diagnosis and treatment.

Long non-coding ribonucleic acid H19 and ten-eleven translocation enzyme 1 messenger RNA expression levels in uterine fibroids may predict their postoperative recurrence

OBJECTIVES: To investigate the predictive value of long non-coding RNA (lncRNA) H19 and the ten-eleven translocation enzyme 1 (TET1) transcriptional expression in postoperative recurrence of uterine fibroids (UFs). METHODS: Seventy-five patients with UF, who underwent surgical treatment, were enrolled in the treatment group, and 60 healthy individuals were enrolled in the control group. The relative expression levels of lncRNA H19 and TET1 mRNA in the serum and UF tissues were analyzed. The patients were further divided into a better curative (BC) group and a poor efficacy (PE) group to analyze the predictive value of lncRNA H19 and TET1 and the independent risk factors affecting the recurrence of UF. RESULTS: Compared with the control group, lncRNA H19 expression levels were significantly higher, while TET1 expression levels were significantly lower in the treatment group (p<0.001). The area under the receiver operating characteristic (ROC) curve (AUC) values of the two indicators for diagnostic importance were found to be 0.872 and 0.826, respectively. Compared with the PE group, lncRNA H19 expression levels were significantly lower, while TET1 expression levels were significantly higher in the BC group (p<0.001). The AUC values of the two indicators for their predictive efficacy were 0.788 and 0.812, respectively. Logistic regression analysis showed that age, menarche age, maximum diameter of UFs, number of UFs, lncRNA H19 levels, and TET1 levels were independent risk factors affecting UF recurrence. The AUC values of lncRNA H19 and TET1 for their predictive value for postoperative recurrence were 0.814 and 0.765, respectively. CONCLUSIONS: The lncRNA H19 and TET1 have high diagnostic and predictive efficacy for determining the postoperative recurrence of UFs.