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*

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*

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*

Fluorescent image of human mucous can display a special color to demonstrate a cancer at its early stage. This will provide a novel method for early diagnose of the Pathological Changes. This research firstly extracted the color characteristics of the clinic images and then calculated all RGB components in different local areas. Finally, a stability analysis was performed. On the above basis we showed a conclusion that G/R can be used as a judge index for pathologic changes.
Diagnostic Imaging ; methods ; Female ; Fluorescence ; Humans ; Image Enhancement ; methods ; Image Processing, Computer-Assisted ; Uterine Cervical Neoplasms ; diagnosis

Radiotherapy plays a major role in the treatment of cervical cancer. A successful radiotherapy program integrates both external beam and brachytherapy components. The principles of radiotherapy are strongly based on the anatomy of the organ and patterns of local and nodal spread. However, in patients with distorted anatomy, several practical issues arise in the delivery of optimal radiotherapy, especially with brachytherapy. Müllerian duct anomalies result in congenital malformations of the female genital tract. Though being very commonly studied for their deleterious effects on fertility and pregnancy, they have not been recognized for their potential to interfere with the delivery of radiotherapy among patients with cervical cancer. Here, we discuss the management of cervical cancer among patients with Müllerian duct anomalies and review the very sparse amount of published literature on this topic.
Brachytherapy ; Diagnostic Imaging ; Female ; Genital Diseases, Female ; diagnosis ; diagnostic imaging ; pathology ; Humans ; Magnetic Resonance Imaging ; Mullerian Ducts ; abnormalities ; diagnostic imaging ; pathology ; Radiography ; Radiosurgery ; Radiotherapy ; methods ; Uterine Cervical Neoplasms ; radiotherapy ; surgery

OBJECTIVETo define the optimal development time of micro-computed tomography (micro-CT) venography in cervical cancer patients and establish 3D CT-based digital pelvic model of the patients.

METHODSThirty patients with cervical cancer stratified by FIGO surgical staging underwent micro-CT scanning of the arterial phase and the venous phase with a delay time of 70, 90 and 120 s. The images were interpreted independently by two experienced radiologists to define the optimal development time in venous phase and establish the imaging diagnosis. Based on the pelvic CT scan data, we segmented the images using the abdominal medical image-3D visualization system followed by 3D image reconstruction to establish the 3D digital pelvic model using FreeForm Modeling System to modify the reconstructed images.

RESULTSThe optimal images were obtained by scanning with a 90-sec delay time. Micro-CT was not sensitive to IB1 phase or earlier phases (1/5), but efficient in advanced stages (≥IB2 phase). In our cases, 25 were diagnosed by micro-CT with a diagnostic accuracy of 64%. Based on these CT data, the pelvic 3D model covering the main organs, vessels, cervical neoplasm, and supplying vessels of the tumor in the pelvic cavity were successfully reconstructed to allow spatial observations of the uterus and the neighboring organs.

CONCLUSIONThe 3D digital pelvic model reconstructed provides a means for staging cervical cancer and facilitates further surgical simulation studies.

Female ; Humans ; Imaging, Three-Dimensional ; methods ; Middle Aged ; Models, Anatomic ; Neoplasm Staging ; Tomography, X-Ray Computed ; methods ; Uterine Cervical Neoplasms ; diagnostic imaging

BACKGROUNDDiffusion-weighted imaging (DWI) with the intravoxel incoherent motion (IVIM) model has shown promising results for providing both diffusion and perfusion information in cervical cancer; however, its use to predict and monitor the efficacy of neoadjuvant chemotherapy (NACT) in cervical cancer is relatively rare. The study aimed to evaluate the use of DWI with IVIM and monoexponential models to predict and monitor the efficacy of NACT in cervical cancer.

METHODSForty-two patients with primary cervical cancer underwent magnetic resonance exams at 3 time points (pre-NACT, 3 weeks after the first NACT cycle, and 3 weeks after the second NACT cycle). The response to treatment was determined according to the response evaluation criteria in solid tumors 3 weeks after the second NACT treatment, and the subjects were classified as two groups: responders and nonresponders groups. The apparent diffusion coefficient (ADC), true diffusion coefficient (D), perfusion-related pseudo-diffusion coefficient (DFNx01), and perfusion fraction (f) values were determined. The differences in IVIM-derived variables and ADC between the different groups at the different time points were calculated using an independent samples t-test.

RESULTSThe D and ADC values were all significantly higher for the responders than for the nonresponders at all 3 time points, but no significant differences were observed in the DFNx01 and f values. An analysis of the receiver operating characteristic (ROC) curves indicated that a D value threshold <0.93 × 10-3 mm 2 /s and an ADC threshold <1.11 × 10-3 mm 2 /s could differentiate responders from nonresponders at pre-NACT time point, yielding area under the curve (AUC) of which were 0.771 and 0.806, respectively. The ROC indicated that the AUCs of D and ADC at the 3 weeks after the first NACT cycle and 3 weeks after the second NACT cycle were 0.823, 0.763, and 0.787, 0.794, respectively. The AUC values of D and ADC at these 3 time points were not significantly different (P = 0.641, 0.512, and 0.547, respectively).

CONCLUSIONSD and ADC values may be useful for predicting and monitoring the efficacy of NACT in cervical cancer. An IVIM model may be equal to monoexponential model in predicting and monitoring the efficacy of NACT in cervical cancer.

Adult ; Area Under Curve ; Diffusion Magnetic Resonance Imaging ; methods ; Female ; Humans ; Middle Aged ; Neoadjuvant Therapy ; Pilot Projects ; Uterine Cervical Neoplasms ; diagnostic imaging ; drug therapy

OBJECTIVE: Neuroendocrine cervical carcinoma is a rare subtype of cervical cancer. These tumors exhibit an aggressive behavior with early regional lymph node and distant metastases. The purpose of our study was to describe five cases of neuroendocrine cervical-vaginal carcinoma and to discuss the potential of the 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) scan for the detection of this rare malignancy. MATERIALS AND METHODS: Five cases of cervical-vaginal neuroendocrine tumor were retrospectively collected, during a two year (from September 2009 to August 2011) period in our hospital. The clinical staging distributions were International Federation of Gynecology and Obstetrics (FIGO) stage IB2 (1 of 5), stage IIA (3 of 5) and stage IVA (1 of 5). RESULTS: Two cases (cases 1 and 4) were restaged after 18F-FDG PET/CT scan in the initial staging process. Post-treatment 18F-FDG PET/CT scans, in three patients, revealed positive findings for tumor recurrence or lymph node metastases. Two patients (cases 2 and 3) died of tumor within two years. CONCLUSION: 18F-FDG PET/CT scan is a useful tool in cervical-vaginal neuroendocrine tumor. In its initial staging, the 18F-FDG PET/CT scan may help assess the possible nodal involvement or early hematogeneous spreading. We can also use the 18F-FDG PET/CT to detect local recurrence and to evaluate the treatment response after clinical manipulation.
Adult ; Aged ; Carcinoma, Neuroendocrine/pathology/*radionuclide imaging/therapy ; Female ; Fluorodeoxyglucose F18/*diagnostic use ; Humans ; Middle Aged ; Radiopharmaceuticals/*diagnostic use ; Uterine Cervical Neoplasms/pathology/*radionuclide imaging/therapy ; Vaginal Neoplasms/pathology/*radionuclide imaging/therapy

To reduce extensive radical procedures and decrease morbidity in gynecologic malignancies, much effort is being focused on implementing less aggressive interventions. Two different approaches such as lymphatic mapping and lymphoscintigraphy are currently used to identify sentinel lymph nodes. In vulvar and cervical carcinomas, metastatic spread of disease commonly follows stepwise progressive drainage. Thus, sentinel lymph node identification may significantly reduce the number of patients undergoing unnecessary, extensive lymphadenectomy in the absence of metastatic disease. The addition of novel techniques, such as histopathologic ultrastaging, step sectioning, and immunohistochemistry staining, will help increase the accuracy and rate of detection of the disease. Any definitive statements can be made to the validity of sentinel lymphadenectomy until we got data with long-term follow-up.
Endometrial Neoplasms ; pathology ; Female ; Genital Neoplasms, Female ; pathology ; surgery ; Humans ; Lymph Node Excision ; methods ; Lymph Nodes ; diagnostic imaging ; pathology ; Lymphatic Metastasis ; Radionuclide Imaging ; Sentinel Lymph Node Biopsy ; Uterine Cervical Neoplasms ; pathology ; Vaginal Neoplasms ; pathology ; Vulvar Neoplasms ; pathology