Cervical HPV Infections, Sexually Transmitted Bacterial Pathogens and Cytology Findings-A Molecular Epidemiology Study.

Prevalent cervical HPV infection and high-risk HPV persistence consequences have been extensively investigated in the literature; nevertheless, any causative interrelations of other sexually transmitted bacterial infections (STIs) with cervical HPV infection have not yet been fully elucidated. This study aimed to investigate the possible association of STIs with cervical cytology aberrations and HPV genotyping results in a representative sample of predominantly young Greek women. Liquid-based cytology and molecular detection for bacterial STIs and HPV as well as extended HPV genotyping were simultaneously assessed in cervical samples from 2256 individuals visiting several urban outpatient Gynecology Departments for well-woman visits or cervical screening throughout a 20-month period. All specimens were centrally processed with validated molecular assays. The mean age of the studied women was 37.0 ± 11.7 years; 722 women (33.30%) tested positive for STI (mean age 34.23 ± 10.87 years). A higher mean age (38.34 ± 11.83 years (p < 0.05)) was associated with negative STI testing. Chlamydia trachomatis was detected in 59 individuals (8.2%), Mycoplasma hominis in 156 (21.6%), Mycoplasma genitalium in 14 (1.9%), and Ureaplasma spp. in 555 (76.9%); infections with two bacterial pathogens were identified in 73 samples (10.1%). Cervical HPV was detected in 357 out of 1385 samples with a valid HPV typing result (25.8%). The mean age of HPV-positive women was 32.0 ± 8.4 years; individuals testing HPV-negative were slightly older (N = 1028): 34.4 ± 9.2 (p < 0.05). Among the 1371 individuals with valid results both for bacterial STIs and cervical HPV detection, women with an HPV-positive sample were more likely to harbor an STI (OR: 2.69, 95% CI 2.10-3.46, p < 0.05). Interestingly, bacterial STI positivity illustrated significant heterogeneity between NILM and LSIL cases, with 28.88% of NILM and 46.33% of LSIL cases harboring an STI, respectively (p < 0.05). In brief, in a population with a high prevalence for STIs, especially Ureaplasma spp., an association was documented between bacterial pathogen detection and cervical HPV infection, as well as abnormal cytology; these findings merit further investigation.

Radial Basis Function Artificial Neural Network for the Investigation of Thyroid Cytological Lesions.

OBJECTIVE: This study investigates the potential of an artificial intelligence (AI) methodology, the radial basis function (RBF) artificial neural network (ANN), in the evaluation of thyroid lesions. Study Design. The study was performed on 447 patients who had both cytological and histological evaluation in agreement. Cytological specimens were prepared using liquid-based cytology, and the histological result was based on subsequent surgical samples. Each specimen was digitized; on these images, nuclear morphology features were measured by the use of an image analysis system. The extracted measurements (41,324 nuclei) were separated into two sets: the training set that was used to create the RBF ANN and the test set that was used to evaluate the RBF performance. The system aimed to predict the histological status as benign or malignant. RESULTS: The RBF ANN obtained in the training set has sensitivity 82.5%, specificity 94.6%, and overall accuracy 90.3%, while in the test set, these indices were 81.4%, 90.0%, and 86.9%, respectively. Algorithm was used to classify patients on the basis of the RBF ANN, the overall sensitivity was 95.0%, the specificity was 95.5%, and no statistically significant difference was observed. CONCLUSION: AI techniques and especially ANNs, only in the recent years, have been studied extensively. The proposed approach is promising to avoid misdiagnoses and assists the everyday practice of the cytopathology. The major drawback in this approach is the automation of a procedure to accurately detect and measure cell nuclei from the digitized images.

The association between sexually transmitted infections, human papillomavirus, and cervical cytology abnormalities among women in Greece.

OBJECTIVE: To investigate the diagnosis of sexually transmitted infections (STIs) with human papillomavirus (HPV) infection and the presence of cytological changes in the cervix in a cohort of sexually active women in Greece. METHODS: Cervical cytology testing and the molecular typing of HPV and other STIs were performed for 345 sexually active women aged between 18 and 45 years (mean 33.2±7.2years) visiting a gynaecology clinic for routine cervical screening. The association of HPV and STI detection with cytological findings was investigated. RESULTS: HPV was detected in 61 women (17.7%) and STIs in 82 (23.8%). Ureaplasma spp was the most frequently detected pathogen, which was found in 63 (18.2%) women, followed by Mycoplasma spp (21 women, 25.6%) and Chlamydia trachomatis (five women, 6.1%). HPV positivity only (with no co-presence of STI) was associated with an abnormal cytology (odds ratio 6.9, p<0.001), while women who were negative for both HPV and STIs had a higher probability of a normal cytology (odds ratio 0.36, p<0.01). Sixteen out of the 63 (25.4%) women who tested positive for Ureaplasma spp, harboured a high-risk HPV type (odds ratio 2.3, p=0.02). CONCLUSIONS: In a population with a high prevalence of Ureaplasma spp, there was an association of this pathogen with high-risk HPV infection, a finding that needs further elucidation.

The Yokohama system for reporting directly sampled endometrial cytology: The quest to develop a standardized terminology.

BACKGROUND: The main purpose of directly sampled endometrial cytology is to detect invasive endometrial malignancies. With this principle in mind, The Yokohama System (TYS) Working Group, composed of cytopathologists, surgical pathologists, and gynecologic oncologists met at the 2016 International Congress of Cytology, Yokohama, with the aim to publish a standardized reporting system inclusive of specific diagnostic categories and cytomorphologic criteria for uniform and reliable diagnosis of endometrial malignancies on directly sampled endometrial samples. METHODS: The diagnostic cytopathologic criteria previously published in the literature by the Japanese and Greek working group on endometrial cytology (Yanoh et al. [2012] Acta Cytol. 56:233; Margari et al. [2016] Diagn Cytopathol. 44:888-901) were critically reviewed with the aim of correlating the diagnostic classes to well defined risk categories for endometrial carcinoma (EC). Moreover, two classes of "atypical" endometrial cells were correlated respectively to a low- and high risk group. Some methodological suggestions for the application of ancillary special technologies to liquid based samples were also given. RESULTS: The TYS group conceived a new Bethesda-style classification for directly sampled endometrial cytology which correlates the cytologic diagnostic classes with definite risk categories. The cytomorphologic findings have been correlated to the molecular pathology of EC, also through the application of ancillary special techniques to liquid-based samples. CONCLUSIONS: The success of TYS will depend on the acceptance of TYS by all the relevant pathology and gynecologic oncology communities who, by their joint efforts, will adopt, critically evaluate, and optimize this method with the only aim of further improving the impact of endometrial cytology on patients' care.

Application of Immunocytochemistry on Cell Block Sections for the Investigation of Thyroid Lesions.

OBJECTIVE: To investigate the potential of Classification and Regression Trees (CARTs) for the diagnosis of thyroid lesions based on cell block immunocytochemistry and cytological outcome. STUDY DESIGN: A total of 956 histologically confirmed cases (673 benign and 283 malignant) from patients with thyroid nodules were prepared via liquid-based cytology and evaluated; 4 additional slides were stained for cytokeratin 19 (CK-19), galectin 3 (Gal-3), Hector Battifora mesothelial cell 1 (HBME-1), and thyroglobulin. On the basis of immunocytochemistry and the cytological diagnosis, a CART algorithm was constructed and used for evaluation. RESULTS: The major important factors contributing to the diagnostic CART model were: cytological outcome, CK-19, Gal-3, and HBME-1. The sensitivity and specificity of the cytological diagnosis were 96.27% and 88.26%, respectively (cut-off: category 3 of The Bethesda System [TBS-3]). The introduction of immunocytochemistry and the CART model increased the sensitivity and specificity to 98.88% and 99.11%, respectively. CK-19 presented the best performance for discriminating papillary thyroid carcinomas, followed by HBME-1 and Gal-3. In the TBS-2 cases, CK-19 and, subsequently, Gal-3 were important immunocytochemistry markers. Ultimately, CK-19 and HBME-1 on TBS-5 or TBS-6 cases demonstrated the best results. CONCLUSIONS: The hierarchical structure of the CART model provides a diagnostic algorithm linked with the risk of malignancy at every step of the procedure. It also provides guidance on the use of ancillary examinations as it goes by simple, human understandable rules.

Classification and regression trees for the evaluation of thyroid cytomorphological characteristics: A study based on liquid based cytology specimens from thyroid fine needle aspirations.

BACKGROUND: This study investigates the potential of classification and regression trees (CARTs) for the evaluation of thyroid lesions. METHODS: The study was performed on 521, histologically confirmed cytological specimens prepared via liquid based cytology. For each specimen, contextual and cellular morphology features were recorded by experienced cytopathologists, as described in everyday cytological practice and The Bethesda System (TBS); these features were subsequently used to construct two CART models, viz. CART-C for the prediction of the cytological diagnosis (according to TBS) and CART-H for the prediction of the histological diagnosis (hereby expressed as either benign or malignant). RESULTS: CART-C had no statistically significant performance from the cytologists' evaluations and CART-H had a very good predictive performance for the histological status. CONCLUSION: CARTs provide a methodological framework capable for data mining and knowledge extraction. They created simple human understandable rules and classification algorithms that may assist cytopathologists towards decisions based on classification steps, each one linked with a specific risk and moreover by applying cytomorphological characteristics in hierarchical order according to their importance. The two CARTs may be a useful tool for the training of nonexperienced cytopathologists; moreover, they may act as ancillary methods to avoid misdiagnoses and assist quality assurance procedures in the everyday practice of the cytopathology laboratory.

Evaluation Analysis of miRNAs Overexpression in Liquid-Based Cytology Endometrial Samples.

Background: miRNAs have an important role as their deregulation is linked to endometrial cancer. Methods: A custom miScript® miRNA PCR Array was used to investigate for the first time the expression of eight miRNAs in forty-nine histologically confirmed Liquid Based cytology endometrial samples. The expression profile of the same miRNAs was also examined in sixty formalin-fixed tissue samples. Results: Expression of seven miRNAs was significantly higher in malignant samples with three of them (mir-182, mir-141 and mir-205) performing optimally. Conclusion: These results suggest the potential use of this non-invasive method of sampling for miRNA expression studies. Furthermore miRNA overexpression could serve as an ancillary or reflex test for optimal identification of malignant samples especially in morphologically inadequate samples.

Internal quality control in an academic cytopathology laboratory for the introduction of a new reporting system for endometrial cytology.

BACKGROUND: To evaluate reproducibility of a reporting system for endometrial cytology. METHODS: Cytologic slides from 49 patients, prepared via liquid based cytology, were blindly examined by five cytopathologists of various experience levels, applying a recently introduced reporting system as previously reported. The agreement among cytopathologists was evaluated via Kappa (κ) statistics and the Kendall's Coefficient of Variation (W); cytologic results were compared with the relevant histologic report. RESULTS: Substantial agreement among all five raters was found in the benign, ACE-L and malignant categories, fair agreement in inadequate and ACE-H categories, whereas only slight agreement in ACE-U. For the three more experienced cytopathologists, an almost perfect agreement was found in inadequate, benign, and ACE-L categories, substantial agreement in ACE-H and malignant categories and fair agreement in ACE-U category. Overall agreement for all five cytopathologists and for all categories was moderate, whereas it was very high for the three senior raters. Using the Kendall's test, both five cytopathologists (W = 0.81) and the three senior ones (W = 0.93) had very high agreement. Sensitivity: 83.33-92.59%, specificity: 83.33-94.74%, ROC area: 71.72-90.3%. CONCLUSION: Application of appropriate statistical tests shows that integration of a new reporting cytologic system is effective with an overall accuracy around 90%. Both statistical tests applied disclosed lower agreement rates among both all five raters and the three most experienced ones in the intermediate categories constituting the gray zone, thus delineating the need for better training of cytopathologists to correctly identify diagnostic criteria for classification of a given case into these categories.

Image analysis and multi-layer perceptron artificial neural networks for the discrimination between benign and malignant endometrial lesions.

BACKGROUND: This study aims to investigate the efficacy of an Artificial Neural Network based on Multi-Layer Perceptron (ANN-MPL) to discriminate between benign and malignant endometrial nuclei and lesions in cytological specimens. METHODS: We collected 416 histologically confirmed liquid-based cytological smears from 168 healthy patients, 152 patients with malignancy, 52 with hyperplasia without atypia, 20 with hyperplasia with atypia, and 24 patients with endometrial polyps. The morphometric characteristics of 90 nuclei per case were analyzed using a custom image analysis system; half of them were used to train the MPL-ANN model, which classified each nucleus as benign or malignant. Data from the remaining 50% of cases were used to evaluate the performance and stability of the ANN. The MLP-ANN for the nuclei classification (numeric and percentage classifiers) and the algorithms for the determination of the optimum threshold values were estimated with in-house developed software for the MATLAB v2011b programming environment; the diagnostic accuracy measures were also calculated. RESULTS: The accuracy of the MPL-ANN model for the classification of endometrial nuclei was 81.33%, while specificity was 88.84% and sensitivity 69.38%. For the case classification based on numeric classifier the overall accuracy was 90.87%, the specificity 93.03% and the sensitivity 87.79%; the indices for the percentage classifier were 95.91%, 93.44%, and 99.42%, respectively. CONCLUSION: Computerized systems based on ANNs can aid the cytological classification of endometrial nuclei and lesions with sufficient sensitivity and specificity. Diagn. Cytopathol. 2017;45:202-211. © 2016 Wiley Periodicals, Inc.

Endocervical Carcinogenesis and HPV Vaccination: An Occasional Circumstance or a Gap in the Chain?

As a result of the Human Papillomavirus (HPV) vaccination program, the prevalence of precancerous dysplasia and invasive cervical cancer has substantially decreased. In this brief report, we present a case of a young patient who was diagnosed with in situ adenocarcinoma of the cervix. This 30-year-old female had completed the HPV vaccination after she became sexually active and has been undergoing annual gynecological assessments, including clinical examination and Pap test, all of which had been negative. This year, her Pap test revealed a low grade squamous intraepithelial lesion (LGSIL) and additionally a colposcopy was performed. Given the extent of the lesion and since the colposcopy was inadequate, the patient underwent a type 3 large loop excision of the transformation zone and a curettage of the endocervix under local anesthesia. The pathological diagnosis from cervical biopsy revealed an in situ adenocarcinoma of the endocervix with negative limits. The HPV subtypes 16 and 83 were detected with PCR. After proper consultation she decided to preserve her fertility and to undergo a regular follow-up, postponing hysterectomy after the completion of her family planning. In conclusion, this case report highlights the need for diagnostic surveillance regarding HPV-related cervical cancer even after vaccination.

A reporting system for endometrial cytology: Cytomorphologic criteria-Implied risk of malignancy.

BACKGROUND: There have been various attempts to assess endometrial lesions on cytological material obtained via direct endometrial sampling. The majority of efforts focus on the description of cytological criteria that lead to classification systems resembling histological reporting formats. These systems have low reproducibility, especially in cases of atypical hyperplasia and well differentiated carcinomas. Moreover, they are not linked to the implied risk of malignancy. METHODS: The material was collected from women examined at the outpatient department of four participating hospitals. We analyzed 866 consecutive, histologically confirmed cases. The sample collection was performed using the EndoGyn device, and processed via Liquid Based Cytology, namely ThinPrep technique. The diagnostic categories and criteria were established by two cytopathologists experienced in endometrial cytology; performance of the proposed reporting format was assessed on the basis of histological outcome; moreover, the implied risk of malignancy was calculated. RESULTS: The proposed six diagnostic categories are as follows: (i) nondiagnostic or unsatisfactory; (ii) without evidence of hyperplasia or malignancy; (iii) atypical cells of endometrium of undetermined significance; (iv) atypical cells of endometrium of low probability for malignancy; (v) atypical cells of endometrium of high probability for malignancy; and (vi) malignant. The risk of malignancy was 1.42% ± 0.98%, 44.44% ± 32.46% (nine cases), 4.30% ± 4.12%, 89.80% ± 8.47%, and 97.81% ± 2.45%, respectively. CONCLUSION: We propose a clinically oriented classification scheme consisting of diagnostic categories with well determined criteria. Each diagnostic category is linked with an implied risk of malignancy; thus, clinicians may decide on patient management and eventually reduce unnecessary interventional diagnostic procedures. Diagn. Cytopathol. 2016;44:888-901. © 2016 Wiley Periodicals, Inc.

Office Endometrial Cytological Sampling: Examining Predictors of Strenuousness.

BACKGROUND/AIM: Endometrial cytology is an alternative perspective for the diagnosis of endometrial cancer. The present study examined the potential risk factors for strenuousness in endometrial cytology sampling. PATIENTS AND METHODS: One hundred and eighty-one women who underwent endometrial cytological sampling with the Endogyn curette participated in the study. Strenuousness in obtaining the sample was graded into a five-level scale-score. Various parameters were assessed in association with the strenuousness score. Multivariate ordinal logistic regression analysis was performed. RESULTS: Postmenopausal status (adjusted OR=2.63, 95%CI=1.52-4.56, p=0.001) and previous invasive/surgical procedures in the cervix (adjusted OR=2.15, 95%CI=1.10-4.24, p=0.026) were associated with higher strenuousness score. Participants' age at sampling, phase of menstrual cycle, endometrial thickness, obesity, current hormonal use and reproductive history of women were not significantly associated with the strenuousness of the procedure. CONCLUSION: Increased difficulty during endometrial sampling is noted in postmenopausal women, and in patients with previous surgical procedures in the cervix.

Personalised management of women with cervical abnormalities using a clinical decision support scoring system.

OBJECTIVES: To develop a clinical decision support scoring system (DSSS) based on artificial neural networks (ANN) for personalised management of women with cervical abnormalities. METHODS: We recruited women with cervical abnormalities and healthy controls that attended for opportunistic screening between 2006 and 2014 in 3 University Hospitals. We prospectively collected detailed patient characteristics, the colposcopic impression and performed a series of biomarkers using a liquid-based cytology sample. These included HPV DNA typing, E6&E7 mRNA by NASBA or flow cytometry and p16INK4a immunostaining. We used ANNs to combine the cytology and biomarker results and develop a clinical DSSS with the aim to improve the diagnostic accuracy of tests and quantify the individual's risk for different histological diagnoses. We used histology as the gold standard. RESULTS: We analysed data from 2267 women that had complete or partial dataset of clinical and molecular data during their initial or followup visits (N=3565). Accuracy parameters (sensitivity, specificity, positive and negative predictive values) were assessed for the cytological result and/or HPV status and for the DSSS. The ANN predicted with higher accuracy the chances of high-grade (CIN2+), low grade (HPV/CIN1) and normal histology than cytology with or without HPV test. The sensitivity for prediction of CIN2 or worse was 93.0%, specificity 99.2% with high positive (93.3%) and negative (99.2%) predictive values. CONCLUSIONS: The DSSS based on an ANN of multilayer perceptron (MLP) type, can predict with the highest accuracy the histological diagnosis in women with abnormalities at cytology when compared with the use of tests alone. A user-friendly software based on this technology could be used to guide clinician decision making towards a more personalised care.

Artificial Neural Networks as Decision Support Tools in Cytopathology: Past, Present, and Future.

OBJECTIVE: This study aims to analyze the role of artificial neural networks (ANNs) in cytopathology. More specifically, it aims to highlight the importance of employing ANNs in existing and future applications and in identifying unexplored or poorly explored research topics. STUDY DESIGN: A systematic search was conducted in scientific databases for articles related to cytopathology and ANNs with respect to anatomical places of the human body where cytopathology is performed. For each anatomic system/organ, the major outcomes described in the scientific literature are presented and the most important aspects are highlighted. RESULTS: The vast majority of ANN applications are related to cervical cytopathology, specifically for the ANN-based, semiautomated commercial diagnostic system PAPNET. For cervical cytopathology, there is a plethora of studies relevant to the diagnostic accuracy; in addition, there are also efforts evaluating cost-effectiveness and applications on primary, secondary, or hybrid screening. For the rest of the anatomical sites, such as the gastrointestinal system, thyroid gland, urinary tract, and breast, there are significantly less efforts relevant to the application of ANNs. Additionally, there are still anatomical systems for which ANNs have never been applied on their cytological material. CONCLUSIONS: Cytopathology is an ideal discipline to apply ANNs. In general, diagnosis is performed by experts via the light microscope. However, this approach introduces subjectivity, because this is not a universal and objective measurement process. This has resulted in the existence of a gray zone between normal and pathological cases. From the analysis of related articles, it is obvious that there is a need to perform more thorough analyses, using extensive number of cases and particularly for the nonexplored organs. Efforts to apply such systems within the laboratory test environment are required for their future uptake.

Cytopathologic diagnosis of fine needle aspiration biopsies of thyroid nodules.

Fine-needle aspiration (FNA) cytology is an important diagnostic tool in patients with thyroid lesions. Several systems have been proposed for the cyropathologic diagnosis of the thyroid nodules. However cases with indeterminate cytological findings still remain a matter of debate. In this review we analyze all literature regarding Thyroid Cytopathology Reporting systems trying to identify the most suitable methodology to use in clinical practice for the preoperative diagnosis of thyroid nodules. A review of the English literature was conducted, and data were analyzed and summarized and integrated from the authors' perspective. The main purpose of thyroid FNA is to identify patients with higher risk for malignancy, and to prevent unnecessary surgeries for benign conditions. The Bethesda System for Reporting Thyroid Cytopathology is the most widely used system for the diagnosis of thyroid FNA specimens. This system also contains guidelines for the diagnosis and treatment of indeterminate or suspicious for malignancy cases. In conclusion, patients who require repeated FNAs for indeterminate diagnoses will be resolved by repeat FNA in a percentage of 72%-80%.

A novel surgical approach for the management of giant invasive prolactinoma compressing the brainstem.

UNLABELLED: Prolactinomas constitute the largest subsection of all secretory pituitary adenomas. Most are microprolactinomas and are satisfactorily treated by medical management alone. Giant prolactinomas, measuring more than 4 cm in diameter, are rare and usually occur more commonly in men. Macroprolatinomas tend to present with symptoms of mass effect rather than those of hyperprolactinaemia. Dopamine agonists (DA) are the treatment of choice for all prolactinomas. Surgery is usually reserved for DA resistance or if vision is threatened by the mass effects of the tumour. We describe the case of a 52 year-old woman with a giant invasive prolactinoma who required multiple surgical procedures as well as medical management with DA. One of the surgical interventions required a posterior approach via the trans cranial sub occipital transtentorial approach, a surgical technique that has not been previously described in the medical literature for this indication. The giant prolactinoma was reduced significantly with the above approach and patient symptoms from the compressing effects of the tumour were resolved. This case highlights the importance of a multidisciplinary approach to the management of such patients who present with florid neurological sequelae secondary to pressure effects. Although this presentation is uncommon, surgery via a sub occipital transtentorial approach may be considered the treatment of choice in suitable patients with giant invasive prolactinomas compressing the brainstem. LEARNING POINTS: Giant prolactinomas present with symptoms of mass effect or those of hyperprolactinaemia.Interpretation of the pituitary profile is crucial to guide further investigations and management.Treatment of giant invasive prolactinomas may involve a combination of medical management and multiple surgical interventions.Treatment with DA may cause pituitary haemorrhage or infarction in patients with these tumours.A sub occipital transtetorial approach may be considered the treatment of choice in invasive prolactinomas compressing the brainstem.Multidisciplinary approach of such patients is fundamental for a better outcome.

A Pyrosequencing Assay for the Quantitative Methylation Analysis of GALR1 in Endometrial Samples: Preliminary Results.

Endometrial cancer is the most common malignancy of the female genital tract while aberrant DNA methylation seems to play a critical role in endometrial carcinogenesis. Galanin's expression has been involved in many cancers. We developed a new pyrosequencing assay that quantifies DNA methylation of galanin's receptor-1 (GALR1). In this study, the preliminary results indicate that pyrosequencing methylation analysis of GALR1 promoter can be a useful ancillary marker to cytology as the histological status can successfully predict. This marker has the potential to lead towards better management of women with endometrial lesions and eventually reduce unnecessary interventions. In addition it can provide early warning for women with negative cytological result.

Classification of endometrial lesions by nuclear morphometry features extracted from liquid-based cytology samples: a system based on logistic regression model.

OBJECTIVE: To investigate the potential of a computerized system for the discrimination of benign from malignant endometrial nuclei and lesions. STUDY DESIGN: A total of 228 histologically confirmed liquid-based cytological smears were collected: 117 within normal limits cases, 66 malignant cases, 37 hyperplasias without atypia, and 8 cases of hyperplasia with atypia. From each case we extracted nuclear morphometric features from about 100 nuclei using a custom image analysis system. Initially we performed feature selection, and subsequently we applied a logistic regression model that classified each nucleus as benign or malignant. Based on the results of the nucleus classification process, we constructed an algorithm to discriminate endometrium cases as benign or malignant. RESULTS: The proposed system had an overall accuracy for the classification of endometrial nuclei equal to 83.02%, specificity of 85.09%, and sensitivity of 77.01%. For the case classification the overall accuracy was 92.98%, specificity was 92.86%, and sensitivity was 93.24%. CONCLUSION: The proposed computerized system can be applied for the classification of endometrial nuclei and lesions as it outperformed the standard cytological diagnosis. This study highlights interesting diagnostic features of endometrial nuclear morphology, and the proposed method can be a useful tool in the everyday practice of the cytological laboratory.

Bacterial meningitis as a first presentation of pituitary macroprolactinoma.

UNLABELLED: A 56-year-old man was brought to the Emergency Department after being found collapsed at his office with a reduced level of consciousness. From clinical examination and initial investigations, he was diagnosed as having bacterial meningitis and was promptly commenced on empirical i.v. antibiotics. Computed tomography of the brain revealed a parenchymal mass at the base of the skull and subsequent magnetic resonance imaging of the head 4 days later confirmed a large soft tissue mass, which extended through to the cavernous sinus. Examination of the cerebrospinal fluid (CSF) following lumbar puncture confirmed pneumococcal meningitis and antibiotics were continued for 2 weeks in total. During the admission, hormone profiling revealed a grossly elevated prolactin. When coupled with the initial results of the brain imaging, this result helped to confirm a macroprolactinoma that was invading the postnasal space. A final diagnosis of pneumococcal meningitis secondary to invading prolactinoma was made. The patient was started on cabergoline and was followed up in the outpatient clinic upon discharge. He made a full recovery from the meningitis. Over the next few months, prolactin levels returned to be normal and the prolactinoma shrank significantly in size. The patient remains on cabergoline that will most likely be continued indefinitely. LEARNING POINTS: Bacterial meningitis is a rare first presentation of pituitary macroprolactinoma.Patients with invasive macroprolactinoma do not always present with CSF leakage.Prompt treatment with antibiotics and a dopamine agonist is of great importance for a favourable outcome.Close monitoring of the patient for signs of raised intracranial pressure is essential in the management of macroprolactinoma.Note the risk of CSF leakage after initiation of dopamine agonist therapy irrespective of concomitant meningitis in macroprolactinoma.

An intelligent clinical decision support system for patient-specific predictions to improve cervical intraepithelial neoplasia detection.

Nowadays, there are molecular biology techniques providing information related to cervical cancer and its cause: the human Papillomavirus (HPV), including DNA microarrays identifying HPV subtypes, mRNA techniques such as nucleic acid based amplification or flow cytometry identifying E6/E7 oncogenes, and immunocytochemistry techniques such as overexpression of p16. Each one of these techniques has its own performance, limitations and advantages, thus a combinatorial approach via computational intelligence methods could exploit the benefits of each method and produce more accurate results. In this article we propose a clinical decision support system (CDSS), composed by artificial neural networks, intelligently combining the results of classic and ancillary techniques for diagnostic accuracy improvement. We evaluated this method on 740 cases with complete series of cytological assessment, molecular tests, and colposcopy examination. The CDSS demonstrated high sensitivity (89.4%), high specificity (97.1%), high positive predictive value (89.4%), and high negative predictive value (97.1%), for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+). In comparison to the tests involved in this study and their combinations, the CDSS produced the most balanced results in terms of sensitivity, specificity, PPV, and NPV. The proposed system may reduce the referral rate for colposcopy and guide personalised management and therapeutic interventions.