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

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*

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*

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*

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*

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

OBJECTIVE: To compare the accuracy of different methods for image registration in image-guided adaptive brachytherapy (IGABT) for cervical cancer. METHODS: The last treatment planning CT images (CT1) and the first treatment planning CT images (CT2) were acquired from 15 patients with cervical cancer and registered with different match image qualities (retained/removed catheter source in images) and different match regions [target only (S Group)/ interested organ structure (M Group)/body (L Group)] in Velocity3.2 software. The dice similarity coefficient (DSC) between the clinical target volumes (CTV) of the CT1 and CT2 images (CTVCT1 and CTVCT2, respectively) and between the organs-at-risk (OAR) of the two imaging datasets (OARCT1 and OARCT2, respectively) were used to evaluate the image registration accuracy. RESULTS: The auto-segmentation volume of the catheter source using Velocity software based on the CT threshold was the closest to the actual volume within the CT value range of 1700-1800 HU. In the retained group, the DSC for the OARs of was better than or equal to that of the removed group, and the DSC value of the rectum was significantly improved ( < 0.05). For comparison of different match regions, the high-risk target volume (HRCTV) and the low-risk target volume (IRCTV) had the best precision for registration of the target area, which was significantly greater than that of M group and L group ( < 0.05). The M group had better registration accuracy of the target area and the best accuracy for the OARs. The DSC values of the bladder and rectum were significantly better than those of the other two groups ( < 0.05). CONCLUSIONS The CT value range of 1700-1800 HU is optimal for automatic image segmentation using Velocity software. Automatic segmentation and shielding the volume of the catheter source can improve the image quality. We recommend the use of interested organ structures regions for image registration in image-guided adaptive brachytherapy for cervical cancer.
Brachytherapy ; methods ; standards ; Female ; Humans ; Organs at Risk ; diagnostic imaging ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; methods ; standards ; Radiotherapy, Image-Guided ; methods ; standards ; Software ; Tomography, X-Ray Computed ; methods ; standards ; Uterine Cervical Neoplasms ; diagnostic imaging ; radiotherapy

In this study, the effects of high-intensity-focused ultrasound (HIFU) treatment on benign uterine tumor patients were examined. A total of 333 patients diagnosed with fibroids or adenomyosis using diagnostic sonography, treated with HIFU between February 4, 2010 and December 29, 2014 at a hospital in Korea, and followed up for three or six months were selected for this study. Their benign uterine tumor volume was measured, and the effects of HIFU treatment on the volume were analyzed according to age, disease, fertility, and treatment duration. The volume of benign tumors of the uterus changed by age in all age groups after conducting HIFU treatment for 3 and 6 months, respectively. The rate of decrease in individuals' in their twenties was the largest, at 64.9%. When the decreasing volume of benign tumors of the uterus was analyzed by type of disease, the treatment efficacy for adenomyosis was the best, with a decrease of 164.83 cm3 after 6 months. Myoma had the fastest decreasing rate, at 68.5%. When evaluated on the basis of fertility, the volume of benign tumors of the uterus continued to decrease until 6 months after completing all procedures. The volume has continued to decrease for 6 months after all procedures. This study showed that HIFU treatments for uterine fibroid and adenomyosis is an effective non-invasive therapy via reducing the benign uterine tumor volume. Therefore, the HIFU method might replace other conventional treatment methods.
Adenomyosis/diagnostic imaging ; Adult ; Female ; Humans ; Leiomyoma/diagnostic imaging ; Middle Aged ; Treatment Outcome ; *Ultrasonic Therapy ; Uterine Neoplasms/physiopathology/*radiotherapy ; Uterus/physiopathology

In this study, the effects of high-intensity-focused ultrasound (HIFU) treatment on benign uterine tumor patients were examined. A total of 333 patients diagnosed with fibroids or adenomyosis using diagnostic sonography, treated with HIFU between February 4, 2010 and December 29, 2014 at a hospital in Korea, and followed up for three or six months were selected for this study. Their benign uterine tumor volume was measured, and the effects of HIFU treatment on the volume were analyzed according to age, disease, fertility, and treatment duration. The volume of benign tumors of the uterus changed by age in all age groups after conducting HIFU treatment for 3 and 6 months, respectively. The rate of decrease in individuals' in their twenties was the largest, at 64.9%. When the decreasing volume of benign tumors of the uterus was analyzed by type of disease, the treatment efficacy for adenomyosis was the best, with a decrease of 164.83 cm3 after 6 months. Myoma had the fastest decreasing rate, at 68.5%. When evaluated on the basis of fertility, the volume of benign tumors of the uterus continued to decrease until 6 months after completing all procedures. The volume has continued to decrease for 6 months after all procedures. This study showed that HIFU treatments for uterine fibroid and adenomyosis is an effective non-invasive therapy via reducing the benign uterine tumor volume. Therefore, the HIFU method might replace other conventional treatment methods.
Adenomyosis/diagnostic imaging ; Adult ; Female ; Humans ; Leiomyoma/diagnostic imaging ; Middle Aged ; Treatment Outcome ; *Ultrasonic Therapy ; Uterine Neoplasms/physiopathology/*radiotherapy ; Uterus/physiopathology

Cervical cancer is one of the most common cancers in women worldwide. The outcome of patients with metastatic cervical cancer is poor. We reviewed the relevant literature concerning the treatment and diagnosis of metastatic cervical cancer. There are two types of metastasis related to different treatments and survival rates: hematogenous metastasis and lymphatic metastasis. Patients with hematogenous metastasis have a higher risk of death than those with lymphatic metastasis. In terms of diagnosis, fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) and PET-computed tomography are effective tools for the evaluation of distant metastasis. Concurrent chemoradiotherapy and subsequent chemotherapy are well-tolerated and efficient for lymphatic metastasis. As for lung metastasis, chemotherapy and/or surgery are valuable treatments for resistant, recurrent metastatic cervical cancer and chemoradiotherapy may be the optimal choice for stage IVB cervical cancer. Chemotherapy and bone irradiation are promising for bone metastasis. A better survival is achieved with multimodal therapy. Craniotomy or stereotactic radiosurgery is an optimal choice combined with radiotherapy for solitary brain metastases. Chemotherapy and palliative brain radiation may be considered for multiple brain metastases and other organ metastases.
Bone Neoplasms/secondary/therapy ; Brain Neoplasms/secondary/therapy ; Chemoradiotherapy ; Female ; Fluorodeoxyglucose F18 ; Humans ; Lung Neoplasms/secondary/therapy ; Lymphatic Metastasis ; Positron-Emission Tomography ; Uterine Cervical Neoplasms/diagnostic imaging/*pathology/therapy