The Diagnosis, Treatment, and Aftercare of Cervical Carcinoma

Evaluation of endocervical curettage (ECC) in colposcopy for detecting cervical intraepithelial lesions

PURPOSE

Diagnostic challenges in colposcopy arise especially in women aged 50 or older, with postmenopausal status and transformation zone type 3 (TZ3). Endocervical curettage (ECC) is a valuable tool for diagnosing intracervical lesions. The aim of this retrospective analysis was to evaluate the use of ECC in colposcopy for detecting cervical intraepithelial lesions.

METHODS

A retrospective study was carried out of colposcopies performed in the certified Dysplasia Unit at Erlangen University Hospital between July 2016 and June 2023. Pap and human papillomavirus (HPV) results were correlated with the histologic findings via ECC, obtained during examinations or surgery. The primary outcome was the rate of accuracy between the colposcopic and histologic findings with regard to cytology, age of patients, and type of transformation zone (TZ).

RESULTS

A total of 429 colposcopies in 413 women with histologic samples obtained via ECC were included in the final analysis. In all, 355 women had TZ3. Among patients with TZ3, evidence of high-grade lesions and invasive carcinoma was also found in women with normal or low-grade abnormal cytology. For patients with normal colposcopic findings, cervical intraepithelial neoplasia (CIN) 2 and CIN 3/adenocarcinoma in situ (AIS) were found in 56 patients (16%), and invasive carcinoma was found in four patients (0.1%).

CONCLUSION

This analysis suggests that ECC is a valuable tool in the diagnosis of cervical intraepithelial neoplasia, especially for patients who present with a normal colposcopy of the cervix and vagina but have either recurrent abnormal cytologic findings or high-grade abnormal cytology indicating CIN 2 + .

Application and clinical efficacy of comprehensive nursing intervention in pelvic floor and bladder function recovery post-cervical cancer surgery

Objective

To evaluate the clinical efficacy of comprehensive nursing intervention in pelvic floor and bladder function recovery post-cervical cancer surgery.

Method

This was a retrospective study. A total of 120 patients with cervical cancer undergoing radical surgery at Tangshan People's Hospital from June 2021 to June 2023 were randomly divided into two groups (n=60 cases each group). The control group received routine nursing intervention, while the study group was provided with comprehensive nursing intervention. Comparative analysis was conducted on clinical indicators, postoperative complications, bladder and pelvic floor function recovery, and patient satisfaction before and after intervention in both groups.

Result

In the study group, ambulation time, gastrointestinal function recovery, duration of postoperative drainage tube placement, oral diet resumption time, duration of postoperative vaginal bleeding, and length of hospital stay were significantly shorter than in the control group (all p< 0.05). Bladder function recovery in the study group was superior to that in the control group (p< 0.05). The study group showed lower scores for anorectal disorders, urogenital disorders, and pelvic organ prolapse than the control group (p< 0.05, respectively). Patient satisfaction was 100% in the study group and 85% in the control group, suggesting a statistically significant difference between the two groups (p< 0.05).

Conclusion

Comprehensive nursing intervention deserve to be promoted as it can accelerate postoperative clinical recovery, reduce the incidence of surgical complications, improve pelvic floor and bladder function post-cervical cancer surgery, and enhance patient satisfaction with care.

A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer

Background

Cervical cancer, a severe threat to women's health, is experiencing a global increase in incidence, notably among younger demographics. With artificial intelligence (AI) making strides, its integration into medical research is expanding, particularly in cervical cancer studies. This bibliometric study aims to evaluate AI's role, highlighting research trends and potential future directions in the field.

Methods

This study systematically retrieved literature from the Web of Science Core Collection (WoSCC), employing VOSviewer and CiteSpace for analysis. This included examining collaborations and keyword co-occurrences, with a focus on the relationship between citing and cited journals and authors. A burst ranking analysis identified research hotspots based on citation frequency.

Results

The study analyzed 927 articles from 2008 to 2024 by 5,299 authors across 81 regions. China, the U.S., and India were the top contributors, with key institutions like the Chinese Academy of Sciences and the NIH leading in publications. Schiffman, Mark, featured among the top authors, while Jemal, A, was the most cited. 'Diagnostics' and 'IEEE Access' stood out for publication volume and citation impact, respectively. Keywords such as 'cervical cancer,' 'deep learning,' 'classification,' and 'machine learning' were dominant. The most cited article was by Berner, ES; et al., published in 2008.

Conclusions

AI's application in cervical cancer research is expanding, with a growing scholarly community. The study suggests that AI, especially deep learning and machine learning, will remain a key research area, focusing on improving diagnostics and treatment. There is a need for increased international collaboration to maximize AI's potential in advancing cervical cancer research and patient care.

Impact of the Corona Pandemic on Cervical Cancer Screening Assessment

BACKGROUND/AIM

The global impact of the COVID-19 pandemic resulted in disruptions to healthcare systems throughout the world. The numbers of cytology examinations, human papillomavirus (HPV) tests, and women referred for colposcopy decreased in many countries. There have been no reports on cervical cancer screening in Germany. This study aimed to describe changes in the numbers of colposcopies, cytology examinations, HPV tests, and histological results during the pandemic compared to the pre-pandemic years in order to evaluate the impact of the COVID-19 pandemic on cervical cancer screening.

PATIENTS AND METHODS

The numbers of colposcopies, cytology examinations, HPV tests, and histologic results were analyzed retrospectively for the period January 2018 to December 2022. The 2 years period before the pandemic (2018 and 2019) were compared with the 3 years period of the pandemic (2020-2022).

RESULTS

In total, 6,518 colposcopies were performed in 5,579 women. The numbers of colposcopies, cytology examinations, and high-risk HPV (hrHPV) tests increased during the pandemic years. The number of biopsies per year taken was stable (range=450-554). The relative numbers of cervical intraepithelial neoplasia (CIN) III/HSIL findings were stable, while the numbers of cervical cancers identified increased slightly from 15 (6.6%) in 2018 to 22 (7.4%) in 2022.

CONCLUSION

Increases in numbers of women examined and colposcopies were observed in the years 2021 and 2022 during the pandemic, in comparison to the preceding years. These also led to increases in the figures for cytology, hrHPV, histology, and operations. The onset of the pandemic occurred in the same year as a newly organized screening program started in Germany. The increases might therefore be due to the newly organized screening system.

Implementation and update of guideline-derived quality indicators for cervical cancer in gynecological cancer centers certified by the German Cancer Society (DKG)

PURPOSE

In 2008, the first gynecological cancer centres were certified by the German Cancer Society (DKG). Guideline-based quality Indicators (QIs) are a core element of the certification process. These QI are defined to assess the quality of care within the centres and can serve to measure the implementation of guideline recommendation. This article aims to give an overview of the developing and updating process of guideline based-QIs for women with cervical cancer and presents the QI results from the certified gynaecological cancer centres.

METHODS

The QIs are derived in a multiple step review process and then implemented in the certification data sheet of the certified centres. The first set of QIs created in 2014 was revised in the update process of the S3-Guideline in 2020. QIs are based on strong recommendations of the evidence-based "Guideline for patients with Cervical Carcinoma" (registry-number: 032/033OL).

RESULTS

In total, there are nine guideline-based QIs for cervical cancer. Four QIs are part of the certification process. In the treatment year 2020, 3.522 cases of cervical cancer were treated in 169 centers. The target values for the four QIs were met in at least 95% of the certified centers. In the guideline update in 2020, a new QI was added to the set of QIs "Complete pathological report on conization findings" and the QI "Exenteration" was removed.

CONCLUSIONS

QIs derived from strong recommendations of a guideline are an important tool to make essential parts of patient's care measurable and enable the centers to draw consequences in process optimization. Over the years, the number of certified centers has grown, and the quality was improved. The certification systems is under constant revision to further improve patient's care in the future, based on the results of the QI re-evaluation.

Development and validation of an autophagy-related long non-coding RNA prognostic signature for cervical squamous cell carcinoma and endocervical adenocarcinoma

Background

In this study, we aimed to investigate the signature of the autophagy-related lncRNAs (ARLs) and perform integrated analysis with immune infiltration in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC).

Methods and results

The UCSC Xena and HADb databases provided the corresponding data. The ARLs were selected via constructing a co-expression network of autophagy-related genes (ARGs) and lncRNAs. Univariate Cox regression analysis combined with LASSO regression and multivariate Cox regression analysis were utilized to screen lncRNAs. The ARL risk signature was established by Cox regression and tested if it was an independent element bound up with patient prognosis. We used the xCell algorithm and ssGSEA to clarify the pertinence between immune infiltration and the expression of ARLs. Finally, we predicted the sensitivity of drug treatment as well as the immune response. Results indicated that the three prognostic ARLs (SMURF2P1, MIR9-3HG, and AC005332.4) possessed significant diversity and constituted the ARL signature. Risk score was an individual element (HR = 2.82, 95% CI = 1.87–4.30; p &lt; 0.001). Immune infiltration analysis revealed significant increases in central memory CD8+ T cells, endothelial cells, CD8+ naive T cells, and preadipocytes in the high-risk group (p &lt; 0.05). There were 10 therapeutic agents that varied significantly in their estimated half-maximal inhibitory concentrations in the two groups. According to the experimental validation, we found that SMURF2P1 belongs to the co-stimulatory genes and might assume greater importance in the development of cervical adenocarcinoma. MIR9-3HG and AC005332.4 belonged to the tumor-suppressor genes and they may play a more positive role in cervical squamous cell carcinoma.

Conclusions

This research explored and validated a novel signature of the ARLs, which can be applied to forecast the prognosis of patients with CESC and is closely associated with immune infiltration.

Concordance Rate of Colposcopy in Detecting Cervical Intraepithelial Lesions

Background: The purpose of this research is to estimate the rate of concordance, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of colposcopy for high-grade squamous lesions and carcinomas (HSIL+). Methods: We conducted a retrospective study of colposcopies performed in the certified Dysplasia Unit in Erlangen between January 2015 and May 2022 (7.5 years). The colposcopic findings were correlated with biopsies obtained during examinations or surgery. Cases without histology were excluded. The primary outcome was the rate of concordance between the colposcopic and histological findings in relation to the type of transformation zone (TZ), examiner’s level of experience and age of the patients. Results: A total of 4778 colposcopies in 4001 women were analyzed. The rates of concordance for CIN I/LSIL, CIN II/HSIL, CIN III/HSIL, and carcinoma were 43.4%, 59.5%, 78.5%, and 53.9%, respectively. The rate of concordance was lowest for TZ3 and highest for colposcopists with more than 10 years’ experience. Conclusions: Colposcopy is an important, feasible, and effective method. Careful work-up needs to be performed for women with TZ3 who are over 35 years old, as they are at the highest risk of being misdiagnosed. The highest concordance for detecting HSIL+ was seen for colposcopists with >10 years’ experience.