Atypical polypoid adenomyoma (APA) is an uncommon type of polypoid characterized by fibroid stroma and endometrial glands. It occurs mostly in premenopausal women and rarely in postmenopausal women with irregular vaginal bleeding. In our current case, a 76-year-old woman presented with irregular vaginal bleeding. The final pathological diagnosis of the mass was APA. APA is not easy to diagnose before surgery. On the one hand, there was no obvious particularity in imaging features and clinical features, especially for uncomfortably identifying endometrial cancer. On the other hand, APA has a pedicle, attaching to any part of the uterine cavity, which can cause pseudocoel between the mass with the uterine cavity wall. So, when it comes to getting the pathological tissue in the absence of hysteroscopy, it is easy to access to the pseudocoel and obtain endometrial tissue rather than the pathological tissue of the mass. Therefore, preoperative imaging examination is of great significance diagnosis way of thinking to clinicians for APA. In the meantime, pathological tissue of APA can be obtained by hysteroscopy in visual conditions.
Adenomyoma/pathology* ; Aged ; Female ; Humans ; Hysteroscopy ; Magnetic Resonance Imaging ; Pregnancy ; Uterine Hemorrhage ; Uterine Neoplasms/diagnostic imaging*

Aged ; Calcinosis ; Diagnosis, Differential ; Female ; Humans ; Leiomyoma ; diagnostic imaging ; pathology ; Radiography ; Uterine Neoplasms ; diagnostic imaging ; pathology

OBJECTIVETo evaluate the ability of multidetector computed tomography (MDCT) in differentiating ovarian tumors from non-ovarian masses.

METHODSForty-two cases with pelvic masses were examined with 16-row MDCT. All source image of each case was put into workstation for multi-planar reconstruction (MPR) and curved planar reconstruction(CPR). Axial image combined with 2D image was used for determining the relationship of the mass to ovarian vascular pedicle and identifying the normal ovary, which was compared with postoperative pathologic result and the finding during operation. All the data was compared using Fisher's exact test.

RESULTSThere were 28 ovarian tumors and 14 non-ovarian tumors in this series. If the ovarian vascular pedicle sign was used for determining whether the tumor was from the ovary or not, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy was 89.3%, 85.7%, 92.6%, 80.0% and 88.1%, respectively, with a significant difference in differentiating the tumor from the ovary or non-ovarian organs (P <0.05). If the identification of full normal ovary was used to determine non-ovarian origin of the tumor, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy was 50.0%, 100.0%, 100.0%, 80.0% and 83.3%, respectively, also with a significant difference in differentiating the tumors from the ovary or non-ovarian organs (P <0.05).

CONCLUSIONMDCT can clearly show the relationship of the tumor to the normal ovary and its vascular pedicle, which is very helpful in differentiating the ovarian tumors from a non-ovarian masses.

Adult ; Aged ; Cystadenocarcinoma, Mucinous ; diagnostic imaging ; Cystadenocarcinoma, Serous ; diagnostic imaging ; Cystadenoma, Mucinous ; diagnostic imaging ; Cystadenoma, Serous ; diagnostic imaging ; Diagnosis, Differential ; Female ; Gastrointestinal Stromal Tumors ; diagnostic imaging ; Humans ; Leiomyoma ; diagnostic imaging ; Middle Aged ; Ovarian Neoplasms ; diagnostic imaging ; Ovary ; blood supply ; diagnostic imaging ; Retroperitoneal Neoplasms ; diagnostic imaging ; Teratoma ; diagnostic imaging ; Tomography, X-Ray Computed ; methods ; Uterine Neoplasms ; diagnostic imaging ; Young Adult

Fluorescence imaging has been widely used in the fields of biomedicine and clinical diagnosis. Compared with traditional fluorescence imaging in the visible spectral region (400-760 nm), near-infrared (NIR, 700-1 700 nm) fluorescence imaging is more helpful to improve the signal-to-noise ratio and the sensitivity of imaging. Highly-sensitive fluorescent probes are required for high-quality fluorescence imaging, and the rapid development of nanotechnology has led to the emergence of organic dyes with excellent fluorescent properties. Among them, organic fluorescent probes with the advantages of high safety, good biocompatibility, and high optical stability, are more favorable than inorganic fluorescent probes. Therefore, NIR fluorescence imaging assisted with organic fluorescent probes can provide more structural and dynamic information of biological samples to the researchers, which becomes a hot spot in the interdisciplinary research field of optics, chemistry and biomedicine. This review summarizes the application of NIR organic fluorescent probes in cervical cancer imaging. Several typical organic fluorescent probes (such as indocyanine green, heptamethine cyanine dye, rhodamine and polymer fluorescent nanoparticles) assisted NIR fluorescence imaging and their applications in cervical cancer diagnosis were introduced, and the future development and application of these techniques were discussed.
Female ; Fluorescent Dyes ; Humans ; Nanoparticles ; Optical Imaging ; Polymers ; Uterine Cervical Neoplasms/diagnostic imaging*

BACKGROUNDAdenomyoma is a very serious disease which influence the quality of life and leads to the infertility, and hysterectomy at the end. Unfortunetly, we still have no effective way to treat this kind of diseases. This study was aimed to evaluate the efficacy and surgical characteristics of modified adenomyomectomy.

METHODSThis is a retrospective study and the subjects were collected in the past 5 years. We divided the subjects by the two different surgical procedures. Cases of adenomyoma patients who underwent conservative surgery, modified adenomyomectomy or wedge resection of the adenomyoma lesion were distributed to two groups retrospectively. Surgical characteristics, symptom relief, and recurrence were analysed in each group.

RESULTSGeneral characteristics, including operation time, blood loss, and postoperative complication were similar in both groups. In the modified adenomyometomy group, the median follow-up time was 27.6 months and the rate of relief of dysmenorrhea and menorrhagia symptoms were 91.2% and 40.0%, respectively. In the wedge resection group, the rate of reliefe of dysmenorrhea and menorrhagia symptoms were 88.9% and 50.0%, respectively. Patients in both groups had statistically significant symptom relief, but there was no statistical difference between them. During the following time, ultrasonography relapse rate in modified modified adenomyomectomy group is significantly lower than the wedge resection group 15.0% vs. 69.2% (P < 0.001). The relapse rate, in terms of symptoms, was 5.0% in the modified adenomyomectomy group, which was similar to the relapse rate in the wedge resection group. In terms of reproductive outcome, 33.3% of the patients with infertility complications in the modified adenomyomectomy group became pregnant. Among them, the rate of pregnancy by assisted reproductive techniques was 45.5%, which was significantly higher than the rate of natural pregnancy, 23.1% (P = 0.039).

CONCLUSIONModified adenomyomectomy appears to be a safe and effective operative method that shows advantages in reducing the rate of relapse after surgery.

Adenomyoma ; diagnostic imaging ; surgery ; Adult ; Female ; Humans ; Retrospective Studies ; Treatment Outcome ; Ultrasonography ; Uterine Neoplasms ; diagnostic imaging ; surgery

BACKGROUNDUltrasound (US) is a popular method in the diagnosis and treatment of uterine leiomyomas, but the lack of accuracy greatly limits its application. Recently, microbubble enhancement technique affords direct depiction of tumor neovascularity and establishes a more precise vascular map of the tumor. This study was undertaken to describe the distribution patterns of SonoVue, a second-generation contrast agent, in the microcirculation of uterine leiomyomas, and to investigate the potential use of contrast-enhanced ultrasound (CEUS) in the characterization and treatment of uterine leiomyomas.

METHODSNinety-six patients with uterine leiomyomas were enrolled in this study. The CEUS was performed using cadence pulse sequencing technique (CPS) and SonoVue. Enhancement patterns of different lesions were observed. The diagnostic accuracy of CEUS was compared with that of conventional ultrasound.

RESULTSAfter contrast injection, vessels of macro- and micro-circulation of the myoma first appeared, followed by the normal myometrium and finally the endometrium. During the washout phase, the myoma exhibited homogeneous enhancement followed by apparent hypoenhancement. The margin of the tumor was depicted clearly. There was no agent perfusion in the benign degenerative or necrotic area. However in sarcomas degeneration, the feeding vessels appeared markedly earlier than those in myometrium. In addition, the tumor exhibited heterogeneous hyperenhancment with no agent perfusion in the center and no membraniform sign was observed in the late phase. In subserous and submucous leiomyomas, the feeding arteries in the pedicle arising from the uterine could be seen. In this study, the diagnostic accuracy of CEUS and conventional US for uterine leiomyomas was 96.7% (160/165) and 82.4% (136/165) respectively.

CONCLUSIONSCEUS can provide a precise description of the leiomyomas vascularization. The specific enhancement pattern may be helpful for the characterization, treatment choice and therapeutic monitoring of leiomyomas.

Adult ; Contrast Media ; Female ; Humans ; Leiomyoma ; diagnostic imaging ; Middle Aged ; Ultrasonography ; Uterine Neoplasms ; diagnostic imaging ; Young Adult

Objective To investigate the correlations of diffusion weighted imaging (DWI) with pathological grading,typing and clinical staging of cervical adenocarcinoma. Methods The data of 95 patients with cervical adenocarcinoma from May 2011 to February 2018 in Cancer Hospital Chinese Academy of Medical Sciences were collected for retrospective analysis.Before treatment,conventional MRI and DWI (b=0,800 s/mm²) were performed,and the apparent diffusion coefficient (ADC) value of cervical adenocarcinoma was measured.The ADC values were compared among different pathological grades,types,and clinical stages. Results The mean ADC value was (1.00±0.25)×10^-3 mm²/s in the poorly differentiation group,(1.09±0.25)×10^-3 mm²/s in the moderately differentiation group,and (1.22±0.20)×10^-3 mm²/s in the well differentiation group,which showed significant difference between the poorly and well differentiation groups (P=0.002).The mean ADC values were (1.04±0.24) ×10^-3 mm²/s and (1.21±0.26)×10^-3 mm²/s in the endocervical adenocarcinoma (usual type) group and mucinous carcinoma group,respectively,which showed significant difference (P=0.005). Conclusions The worse differentiation of cervical adenocarcinoma corresponded to the lower ADC value.The ADC value of mucinous carcinoma was higher than that of endocervical adenocarcinoma (usual type).
Adenocarcinoma/pathology* ; Diffusion Magnetic Resonance Imaging/methods* ; Female ; Humans ; Magnetic Resonance Imaging/methods* ; Retrospective Studies ; Uterine Cervical Neoplasms/diagnostic imaging*

Cervical cancer is a common female malignant tumor. It has been increasing and rejuvenating in recent years. Early screening of cervical cancer is an effective control method to block cancer. In this study, a diffuse reflectance spectrum detection and analysis system based on LabWindows development software and MariaDB database was developed, which can acquire and save the spectral data to the database. The method of a neural network model based on spectral database was built to distinguish the cervical tissue and the normal tissue. The nude mouse tumor model test and human volunteer test were performed respectively, which verified that the system can distinguish between normal tissue and tumor tissue, and can be applied to the screening of cervical precancerous lesions.
Animals ; Female ; Humans ; Mice ; Mice, Nude ; Neural Networks (Computer) ; Spectrum Analysis ; Uterine Cervical Neoplasms ; diagnostic imaging

We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperative cervical cancer with similar delineation scope were selected to be used to evaluate the pre-sketching accuracy from three aspects:sketching similarity, sketching offset and sketching volume difference. It has been proved that the 8 most representative parameters are superior to those with single network and reported internationally before. Dense V-Net can accurately predict CTV pre-delineation of cervical cancer patients, which can be used clinically after simple modification by doctors.
Automation ; Female ; Humans ; Machine Learning ; Patients ; Tomography, X-Ray Computed ; Uterine Cervical Neoplasms/diagnostic imaging*

Uterine tumors resembling ovarian sex cord tumors are rarely reported with limited imaging findings.The current study reported two case of uterine tumors resembling ovarian sex cord tumors and described the detailed MRI findings,which would provide valuable imaging evidence for the diagnosis of such tumors.
Female ; Humans ; Uterine Neoplasms/diagnostic imaging* ; Ovarian Neoplasms/pathology* ; Sex Cord-Gonadal Stromal Tumors/pathology* ; Magnetic Resonance Imaging