Background and Objectives: Local and distant relapse (LR, DR) in breast cancer vary according to its molecular subtypes, with triple-negative breast cancer (TNBC) being the most aggressive. The surgical resection margin width (SRMW) for breast-conserving surgery (BCS) has been intensely debated, especially for the aforementioned subtype. The aim of this study was to examine the impact of SRMW on LR following BCS in TNBC patients. Materials and Methods: We conducted a retrospective study including all patients with TNBC for whom BCS was performed between 2005 and 2014. Results: Final analysis included a total of 92 patients, with a median tumor size of 2.5 cm (range 0–5 cm) and no distant metastasis at the time of diagnosis. A total of 87 patients had received neoadjuvant and/or adjuvant chemotherapy, and all patients had received adjuvant whole-breast radiotherapy. After a median follow-up of 110.7 months (95% CI, 95.23–126.166), there were 5 local recurrences and 8 regional/distant recurrences with an overall LR rate of 5.4%. The risk of LR and DR was similar between groups of patients with several SRMW cut-off values. Conclusions: Our study supports a safe “no ink on tumor” approach for TNBC patients treated with BCS.

It has recently been shown that the interpretation by partial differential equations (PDEs) of a class of convolutional neural networks (CNNs) supports definition of architectures such as parabolic and hyperbolic networks. These networks have provable properties regarding the stability against the perturbations of the input features. Aiming for robustness, we tackle the problem of detecting changes in chest X-ray images that may be suggestive of COVID-19 with parabolic and hyperbolic CNNs and with domain-specific transfer learning. To this end, we compile public data on patients diagnosed with COVID-19, pneumonia, and tuberculosis, along with normal chest X-ray images. The negative impact of the small number of COVID-19 images is reduced by applying transfer learning in several ways. For the parabolic and hyperbolic networks, we pretrain the networks on normal and pneumonia images and further use the obtained weights as the initializers for the networks to discriminate between COVID-19, pneumonia, tuberculosis, and normal aspects. For DenseNets, we apply transfer learning twice. First, the ImageNet pretrained weights are used to train on the CheXpert dataset, which includes 14 common radiological observations (e.g., lung opacity, cardiomegaly, fracture, support devices). Then, the weights are used to initialize the network which detects COVID-19 and the three other classes. The resulting networks are compared in terms of how well they adapt to the small number of COVID-19 images. According to our quantitative and qualitative analysis, the resulting networks are more reliable compared to those obtained by direct training on the targeted dataset.

Aim of study: The purpose of the study was to evaluate the association of thyroid dysfunction occurring in pediatric patients treated for brain tumors. Patients and methods: A total of 255 patients with brain tumors were treated between 2001 and 2018 at the “Prof. Dr. Ion Chiricuță” Institute of Oncology, Cluj-Napoca. Due to a minimum follow-up of 4 years, we studied 184 out of the 255 patients. The cohort included 69 girls (37.5%) and 109 boys (62.5%), with a median age of 8.4 years. The evaluated tumors included medulloblastomas (47 patients), astrocytomas (44 patients), ependymomas (22 patients), gliomas (20 patients), germ cell tumors (12 patients), primitive neuroectodermal tumors (4 patients), as well as other types of tumors (15 patients); in 20 of the cases, biopsy could not be performed. Results: There was a 60% overall survival rate; among the 120 surviving patients, 11 (9.1%) were diagnosed with iatrogenic thyroid disease. We observed an important number of iatrogenic thyroid disease cases in this group of patients, thus revealing the importance of long-term thyroid function evaluation in all children who finalized their treatment for brain tumors. Through this study, we aimed to provide an accurate image of the methodology of monitoring for thyroid dysfunction in childhood brain tumor survivors. Conclusion: Given the fact that the probability of developing thyroid dysfunction in the pediatric population treated for brain tumors is not rare, we recommend that childhood brain tumor survivors be monitored for iatrogenic thyroid disease, in order to provide early diagnosis and treatment.

Background and aims. Tumors of the central nervous system represent the main cause of death by cancer in children. The diagnosis and molecular classification of these neoplasms have seen great improvement in the past years, due to ongoing genomic advances. In general, the treatment consists of surgery, radiation therapy and chemotherapy. However, the currently available pharmacological treatment options have limited effectiveness due to the particular characteristics of the blood-brain barrier. Methods. We decided to study the therapeutic results in children treated for brain tumors in the Cluj-Napoca “Prof. dr. Ion Chiricuta” Oncology Institute, between 2001 and 2018, in order to provide a more accurate understanding of the disease and the available therapeutic options in our center. Results. Out of the 207 cases included in this study, we recorded 98 deaths (47.3%). This is significantly less than the 5-year survival rate recorded in the US between 2012 and 2018 (74.9%). There are many factors that could explain the low survival rate, such as a very late diagnosis, the inability to implement innovative radiation therapy techniques until 2018, and the fact that between 2001 and 2010 the chemotherapy regimens in our center were not as effective as the more recent ones. Conclusions. The therapeutic results recorded in this study are similar to those in other middle-income countries, however, the available treatment options for pediatric brain tumors are not as effective as those currently in use for other pediatric and adult malignancies.

Thyroid microcarcinoma in pediatric population in Romania Non-medullary thyroid cancer (TC) is the most common endocrine malignancy, with an increasing incidence in the recent years, due to the increase of the thyroid microcarcinoma. Thyroid microcarcinoma (mTC) is defined, according to WHO criteria, as ≤1 cm dimension thyroid carcinoma, being a rare disease in children population. In adults, the current guidelines recommend a limited surgical approach. In children, however, there are no specific guidelines for mTC. Due to the scarcity of these tumors, mTC in children have largely been understudied, to our knowledge with only one previous publication reporting on the outcomes of a large historic series of patients with mTC from the USA. In Romania, the incidence of TC is rising, one of the reason may be the effect of Chernobyl nuclear accident in the past and the iodine deficiency. The purpose of this study was to describe the characteristics and outcome of children diagnosed with mTC in Romania diagnosed from 1 January 2000 to 31 December 2018. During the study period we identified 77 cases of differentiated TC (papillary and follicular) and of these 20 cases (19.4%) were mTC. The mTC represented roughly one fifth of our nationwide pediatric population diagnosed in the last 20 years, the majority of cases being recorded in adolescents aged between 15–18 years. Although patients with apparently more unfavorable local phenotype were identified, this was not reflected in the outcome of the patients in terms of remission of the disease and survival. Our study illustrates the heterogeneity of the real-life practice with respect to the pediatric mTC, and underscores the need for carefully designed multicenter international studies, including larger cohorts of patients in order to provide the data required for establishing evidence based uniform protocols. The European Reference Networks (ERN), such as the ERN for Rare Endocrine Diseases (Endo-ERN) provides an ideal platform to initiate such collaborative studies.