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In light of the global increase in breast cancer cases and the crucial importance of the density of fibroglandular tissue (FGT) in assessing risk and predicting the course of the disease, the accurate measurement of FGT emerges as a significant challenge in diagnostic imaging. The current study focuses on the automatic segmentation of breast glandular tissue in MRI scans using a deep learning model. The aim is to establish a solid foundation for the development of methods for the precise quantification of fibroglandular tissue. For this purpose, the publicly available 'Duke Breast Cancer MRI' dataset was systematically processed to train a deep neural network model utilizing the nnU-Net ('no-new-Net') framework, which was then subjected to a quantitative evaluation. The results show the following macro-averaged metrics with standard deviation: Dice Similarity Coefficient 0.827 ± 0.152, accuracy 0.997 ± 0.003, sensitivity 0.825 ± 0.158, and specificity 0.999 ± 0.001. The effectiveness of our model in segmenting FGT is underscored by the high values of the Dice coefficient, Accuracy, Sensitivity, and Specificity, which reflect the precision and reliability of our results. The findings of this study lay a solid foundation for developing automated methods to quantify FGT. Our research efforts, especially driven by clinical studies at the University Hospital Augsburg, are focused on further exploring and validating these potentials.
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Neoplasias da Mama , Aprendizado Profundo , Imageamento por Ressonância Magnética , Humanos , Imageamento por Ressonância Magnética/métodos , Neoplasias da Mama/diagnóstico por imagem , Feminino , Redes Neurais de Computação , Reprodutibilidade dos Testes , Mama/diagnóstico por imagem , Sensibilidade e Especificidade , Interpretação de Imagem Assistida por Computador/métodosRESUMO
Background: Hypoxia is an important risk factor and indicator for the declining health of inpatients. Predicting future hypoxic events using machine learning is a prospective area of study to facilitate time-critical interventions to counter patient health deterioration. Objective: This systematic review aims to summarize and compare previous efforts to predict hypoxic events in the hospital setting using machine learning with respect to their methodology, predictive performance, and assessed population. Methods: A systematic literature search was performed using Web of Science, Ovid with Embase and MEDLINE, and Google Scholar. Studies that investigated hypoxia or hypoxemia of hospitalized patients using machine learning models were considered. Risk of bias was assessed using the Prediction Model Risk of Bias Assessment Tool. Results: After screening, a total of 12 papers were eligible for analysis, from which 32 models were extracted. The included studies showed a variety of population, methodology, and outcome definition. Comparability was further limited due to unclear or high risk of bias for most studies (10/12, 83%). The overall predictive performance ranged from moderate to high. Based on classification metrics, deep learning models performed similar to or outperformed conventional machine learning models within the same studies. Models using only prior peripheral oxygen saturation as a clinical variable showed better performance than models based on multiple variables, with most of these studies (2/3, 67%) using a long short-term memory algorithm. Conclusions: Machine learning models provide the potential to accurately predict the occurrence of hypoxic events based on retrospective data. The heterogeneity of the studies and limited generalizability of their results highlight the need for further validation studies to assess their predictive performance.
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There exists a variety of studies about tumor-infiltrating immune cells (TIICs) in cervical cancer, but their prognostic value in correlation with the histopathological subtype has never been investigated. Therefore, the aim of this study was to quantify TIICs in a panel of 238 sporadic cervical cancers and investigate the correlation with cervical cancer subtype and patient survival. TIICs levels were significantly increased in the subgroup of CSCC (191 samples) in comparison to CAC (47 samples). In CSCC, TIICs' infiltration showed a negative correlation with age, FIGO stage and with the histone protein modification H3K4me3. Moreover, in CAC, it was positively correlated with p16 and with the glucocorticoid receptor and inversely correlated with the MDM2 protein and with H3K4me3. Interestingly, immune infiltration was an independent positive prognosticator for disease-free survival (DFS) in patients with CSCC, those bearing tumors with the strongest TIICs infiltration showing the better DFS. Altogether, the present study provides a differentiated overview of the relations between TIIC levels and prognosis in patients with CSCC vs. patients with CAC.
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The collective of the SerMa pilot study included 100 cases of primary breast cancer or Carcinoma in situ who had undergone a mastectomy procedure with or without reconstruction of the breast using an implant or expander at Augsburg University Hospital between 12/2019 and 12/2022. The study aimed to investigate possible causes of seroma formation; reported here are the clinicopathological correlations between seroma formation and tumor biology and surgical procedures. Seroma occurred significantly more often in patients with older age (median patient age in cases with seroma was 73 years vs. 52 years without seroma; p < 0.001). In addition, patients with larger mastectomy specimen were significantly more likely to develop seroma (median ablation weight in cases with seroma 580 g vs. 330 g without seroma; p < 0.001). Other significant parameters for seroma formation were BMI (p = 0.005), grading (p = 0.015) and tumor size (p = 0.036). In addition, with insertion of implant or expander, a seroma occurred significantly less frequently (p < 0.001). In a binary logistic regression, age in particular was confirmed as a significant risk factor. In contrast, tumor biological characteristics, number of lymph nodes removed or affected showed no significant effect on seroma formation. The present study shows the need for patient education about the development of seroma in particular in older patients and patients with large breast volumes within the preoperative surgical clarification. These clinicopathological data support the previously published results hypothesizing that seroma formation is related to autoimmune/inflammatory processes and will be tested on a larger collective in the planned international multicenter SerMa study.
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Preeclampsia is a pregnancy-specific disease which is characterized by abnormal placentation, endothelial dysfunction, systemic inflammation and disruption of the immune system. The goal of this study was to characterize the PD-1/PD-L1 system, an important immune checkpoint system, on macrophages and Hofbauer cells (HBC) in the placenta of preeclamptic patients. The expression of the macrophage markers CD68 and CD163 as well as the proteins PD1 and PD-L1 in the placenta of preeclamptic patients was examined by immunohistochemistry and immunofluorescence in comparison to the placenta of healthy pregnancies. The numbers of CD68-positive and CD163-positive macrophages were significantly downregulated in the decidua (p = 0.021 and p = 0.043) and in the chorionic villi (p < 0.001 and p < 0.001) of preeclamptic patients. The majority of macrophages in the decidua and the chorionic villi were identified to be CD163-positive, indicating a predominantly M2-polarisation. The expression of PD1 on maternal macrophages of the decidua (p < 0.001) and on Hofbauer cells (p < 0.001) was shown to be significantly lower in preeclampsia. Looking at the protein PD-L1 the expression was proven to be downregulated on maternal macrophages in the decidua of preeclamptic patients (p = 0.043). This difference was only caused by a downregulation of PD-L1 expression in male offspring (p = 0.004) while there was no difference in female offspring (p = 0.841). The variation of the immune checkpoint molecules PD1 and PD-L1 in preeclampsia might play an important role in the development of inflammation seen in preeclamptic patients. It might thereby be an important target in the therapy of preeclampsia.
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Pré-Eclâmpsia , Receptor de Morte Celular Programada 1 , Feminino , Humanos , Masculino , Gravidez , Apoptose , Antígeno B7-H1/metabolismo , Vilosidades Coriônicas/metabolismo , Ligantes , Macrófagos , Pré-Eclâmpsia/metabolismo , Receptor de Morte Celular Programada 1/metabolismoRESUMO
The role of progesterone receptor A (PRA) for the survival outcome of cervical cancer patients is ambiguous. In mouse models, it has been shown that PRA plays a rather protective role in cancer development. The aim of this study was to assess its expression by immunohistochemistry in 250 cervical cancer tissue samples and to correlate the results with clinicopathological parameters including patient survival. PRA expression was positively correlated with the International Federation of Gynecology and Obstetrics (FIGO) classification scores. PRA was significantly overexpressed in adenocarcinomas compared to squamous epithelial carcinoma subtypes. Correlation analyses revealed a trend association with the HPV virus protein E6, a negative correlation with p16 and a positive correlation with EP3. PRA expression was also associated with the expression of RIP140, a transcriptional coregulator that we previously identified as a negative prognostic factor for survival in cervical cancer patients. Univariate survival analyses revealed PRA as a negative prognosticator for survival in patients with cervical adenocarcinoma. Multivariate analyses showed that simultaneous expression of RIP140 and PRA was associated with the worst survival, whereas with negative RIP140, PRA expression alone was associated with the best survival. We can therefore assume that the effect of nuclear PRA on overall survival is dependent upon nuclear RIP140 expression.
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Adenocarcinoma , Carcinoma de Células Escamosas , Neoplasias do Colo do Útero , Feminino , Humanos , Animais , Camundongos , Neoplasias do Colo do Útero/patologia , Adenocarcinoma/patologia , Receptores de Progesterona/genética , Carcinoma de Células Escamosas/patologia , Biomarcadores Tumorais/metabolismoRESUMO
PURPOSE: Vulvar cancer is the fourth most common malignancy of the female genital tract after endometrial, ovarian, and cervical carcinoma and affects mainly elderly women. In 2020 there were registered more than 17,000 deaths worldwide related to vulvar carcinoma. Data about target-based therapies and predictive biomarkers for vulva carcinomas are rare so far. The metastasis-associated gene MTA1 is a transcriptional repressor with a potential effect on cancer. Expression of MTA1 was found to be significantly enhanced in gynecological malignancies as breast or ovarian cancer tissues with advanced cancer stages and higher FIGO grading, indicating an important role of MTA1 in the progression of those tumor entities. Due to the lack of information around MTA1 and its significance regarding vulvar carcinoma, this study focuses on the expression of MTA1 in vulvar carcinoma and its correlation to clinicopathological characteristics and prognosis. METHODS: A total of 157 paraffin-embedded vulvar cancer tissues were immunohistochemically stained and examined for MTA1 expression by using the immunoreactive score. Subsequently, the values were correlated with clinicopathological parameters. RESULTS: MTA1 was found to be expressed in 94% of the patients in the cytoplasm and 91% in the nucleus. Cytoplasmatic expression of MTA1 was significantly increased in non-keratinizing squamous cell carcinoma and in vulvar carcinoma of the condylomatous type, compared to keratinizing squamous cell carcinoma and vulvar carcinoma of the verrucous type. High MTA1 expression in the nucleus was associated with advanced tumor size as well as higher FIGO grading. In addition, p16 negative vulvar carcinomas showed a higher nuclear expression of MTA1 compared to p16 positive vulvar carcinomas. Suprisingly, Kaplan-Meier analysis showed a significantly lower disease-free survival in tumor samples without a nuclear expression of MTA1. CONCLUSIONS: MTA1 was identified as a negative prognostic marker for vulvar carcinoma associated with advanced tumor stage and FIGO grading. A possible explanation could be that the antibody used for this study does not bind to a possible mutation in the C terminal region of MTA leading to negative immunohistochemical staining and this can be correlated with early recurrence in patients with vulvar carcinoma.
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Carcinoma de Células Escamosas , Neoplasias Ovarianas , Neoplasias Vulvares , Idoso , Feminino , Humanos , Biomarcadores Tumorais , Carcinoma de Células Escamosas/patologia , Prognóstico , Fatores de Transcrição , Neoplasias Vulvares/patologiaRESUMO
Purpose: In this study we evaluate sleep patterns of patients treated for non-secreting intra- and parasellar tumors and age- and sex-matched healthy controls. Methods: We conducted a self-report cross-sectional case-control study with 104 patients treated for non-secreting intra- and parasellar tumors and 1800 healthy controls in an 1:8 matching. All subjects answered the Munich ChronoType Questionnaire, whereas patients were provided the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, the Short-Form 36 Health survey, the Beck Depression Inventory and the State-Trait Anxiety Inventory additionally. Results: Patients treated for non-secreting intra- and parasellar tumors go to bed earlier, fall asleep earlier, need less time to prepare to sleep but also to get up. Additionally, they lie and sleep longer. The subgroup analysis showed that patients with secondary adrenal insufficiency compared to controls experienced shorter daily light exposure and longer sleep latency. Higher hydrocortisone dose (>20mg) was associated with worse score in global, physical and mental health, shorter time to prepare to sleep, earlier sleep onset and longer sleep duration. Conclusion: Our study shows that patients treated for non-secreting intra- and parasellar tumors, even if successfully treated, experience altered sleep patterns compared to controls. We suggest that managing clinicians should enlighten these possible sleep alterations to their patients and use specific questionnaires to document sleep disturbances. Additionally, when treating patients surgically, especially by transcranial approach, damaging the suprachiasmatic nucleus should be avoided. Furthermore, circadian hydrocortisone replacement therapy ideally with dual-release hydrocortisone - if possible, in a dose not more than 20mg daily - that resembles physiological cortisol levels more closely may be beneficial and could improve sleep patterns and sleep-related quality of life.
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Neoplasias , Transtornos do Sono-Vigília , Humanos , Autorrelato , Estudos de Casos e Controles , Qualidade de Vida , Estudos Transversais , Transtornos do Sono-Vigília/etiologia , Sono , HidrocortisonaRESUMO
Both clinical-pathological and experimental studies have shown that chemokines play a key role in activating the immune checkpoint modulator in cervical cancer progression and are associated with prognosis in tumor cell proliferation, invasion, angiogenesis, chemoresistance, and immunosuppression. Therefore, a clear understanding of chemokines and immune checkpoint modulators is essential for the treatment of this disease. This review discusses the origins and categories of chemokines and the mechanisms that are responsible for activating immune checkpoints in cervical dysplasia and cancer, chemokines as biomarkers, and therapy development that targets immune checkpoints in cervical cancer research.
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Neoplasias do Colo do Útero , Quimiocinas , Feminino , Humanos , PrognósticoRESUMO
PURPOSE: Patients with non-functioning pituitary adenomas (NFPA) suffer from pronounced impairments in physical and mental measures that result in an impairment of health-related quality of life (HRQOL). The role of secondary adrenal insufficiency (SAI) and especially the one of the hydrocortisone (HC) replacement dose on the HRQOL seems to be conflicting. The primary aim of this study is to assess the HRQOL in patients with NFPA in terms of presence of SAI and in patients without SAI and the secondary to explore the impact of treatment parameters such as daily HC dose. DESIGN/METHODS: In a cross-sectional study we evaluated parameters of HRQOL in 95 patients with NFPA of the Endocrine Outpatient Unit of the Max Planck Institute of Psychiatry in Munich using standardized questionnaires like Short Form (SF-36), Beck's Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI) and a self-constructed questionnaire about medical history. RESULTS: We could not find any significant difference between patients with and without SAI in the standardized questionnaires in terms of HRQOL. We could show that higher doses of HC were negatively correlated with HRQOL measured by SF-36 global health score regardless of using BDI or STAI in the block (ß = - 0.397; p = 0.021, ß = - 0.390; p = 0.016, respectively). CONCLUSIONS: NFPA patients with SAI do not have a worse HRQOL than patients with NFPA and intact corticotropic axis. We could show that higher doses of HC are associated with an impaired HRQOL measured by SF-36 global and physical health score, whereas mental health score is not significantly influenced by the HC dose.