Sometimes it is better to just make it simple. De-escalation of oncoplastic and reconstructive procedures.

Simple breast conservation surgery (sBCS) has technically advanced onto oncoplastic breast procedures (OBP) to avoid mastectomy and improve breast cancer patients' psychosocial well-being and cosmetic outcome. Although OBP are time-consuming and expensive, we are witnessing an increase in their use, even for cases that could be managed with sBCS. The choice between keeping it simple or opting for more complex oncoplastic procedures is difficult. This review proposes a pragmatic approach in assisting this decision. Medical literature suggests that OBP and sBCS might be similar regarding local recurrence and overall survival, and patients seem to have higher satisfaction levels with the aesthetic outcome of OBP when compared to sBCS. However, the lack of comprehensive high-quality research assessing their safety, efficacy, and patient-reported outcomes hinders these supposed conclusions. Postoperative complications after OBP may delay the initiation of adjuvant RT. In addition, precise displacement of the breast volume is not effectively recorded despite surgical clips placement, making accurate dose delivery tricky for radiation oncologists, and WBRT preferable to APBI in complex OBP cases. With a critical eye on financial toxicity, patient satisfaction, and oncological outcomes, OBP must be carefully integrated into clinical practice. The thoughtful provision of informed consent is essential for decision-making between sBCS and OBP. As we look into the future, machine learning and artificial intelligence can potentially help patients and doctors avoid postoperative regrets by setting realistic aesthetic expectations.

ESO-ESMO fifth international consensus guidelines for breast cancer in young women (BCY5).

We dedicate this manuscript in memory of a dear friend and colleague Bella Kaufman. The fifth International Consensus Symposium for Breast Cancer in Young Women (BCY5) took place virtually in October 2020, organized by the European School of Oncology (ESO) and the European Society of Medical Oncology (ESMO). Consensus recommendations for the management of breast cancer in young women were updated from BCY4 with incorporation of new evidence to inform the guidelines. Areas of research priorities as well as specificities in different geographic and minority populations were identified. This manuscript summarizes the ESO-ESMO international consensus recommendations, which are also endorsed by the European Society of Breast Specialists (EUSOMA).

Moderate penetrance genes complicate genetic testing for breast cancer diagnosis: ATM, CHEK2, BARD1 and RAD51D.

Breast cancer risk associated with germline likely pathogenic/pathogenic variants (PV) varies by gene, often by penetrance (high >50% or moderate 20-50%), and specific locus. Germline PVs in BRCA1 and BRCA2 play important roles in the development of breast and ovarian cancer in particular, as well as in other cancers such as pancreatic and prostate cancers and melanoma. Recent studies suggest that other cancer susceptibility genes, including ATM, CHEK2, PALB2, RAD51C and RAD51D confer differential risks of breast and other specific cancers. In the era of multigene panel testing, advances in next-generation sequencing technologies have notably reduced costs in the United States (US) and enabled sequencing of BRCA1/2 concomitantly with additional genes. The use of multigene-panel testing is beginning to expand in Europe as well. Further research into the clinical implications of variants in moderate penetrance genes, particularly in unaffected carriers, is needed for appropriate counselling and risk management with data-driven plans for surveillance and/or risk reduction. For individuals at high risk without any pathogenic or likely pathogenic variant in cancer susceptibility genes or some carriers of pathogenic variants in moderate-risk genes such as ATM and CHEK2, polygenic risk scores offer promise to help stratify breast cancer risk and guide appropriate risk management options. Cancer patients whose tumours are driven by the loss of function of both copies of a predisposition gene may benefit from therapies targeting the biological alterations induced by the dysfunctional gene e.g. poly ADP ribose polymerase (PARP) inhibitors and other novel pathway agents in cancers with DNA repair deficiencies. A better understanding of mechanisms by which germline variants drive various malignancies may lead to improvements in both therapeutic and preventive management options.

Imitation learning for improved 3D PET/MR attenuation correction.

The assessment of the quality of synthesised/pseudo Computed Tomography (pCT) images is commonly measured by an intensity-wise similarity between the ground truth CT and the pCT. However, when using the pCT as an attenuation map (µ-map) for PET reconstruction in Positron Emission Tomography Magnetic Resonance Imaging (PET/MRI) minimising the error between pCT and CT neglects the main objective of predicting a pCT that when used as µ-map reconstructs a pseudo PET (pPET) which is as similar as possible to the gold standard CT-derived PET reconstruction. This observation motivated us to propose a novel multi-hypothesis deep learning framework explicitly aimed at PET reconstruction application. A convolutional neural network (CNN) synthesises pCTs by minimising a combination of the pixel-wise error between pCT and CT and a novel metric-loss that itself is defined by a CNN and aims to minimise consequent PET residuals. Training is performed on a database of twenty 3D MR/CT/PET brain image pairs. Quantitative results on a fully independent dataset of twenty-three 3D MR/CT/PET image pairs show that the network is able to synthesise more accurate pCTs. The Mean Absolute Error on the pCT (110.98 HU ± 19.22 HU) compared to a baseline CNN (172.12 HU ± 19.61 HU) and a multi-atlas propagation approach (153.40 HU ± 18.68 HU), and subsequently lead to a significant improvement in the PET reconstruction error (4.74% ± 1.52% compared to baseline 13.72% ± 2.48% and multi-atlas propagation 6.68% ± 2.06%).

FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis.

BACKGROUND: MRI assessment in multiple sclerosis (MS) focuses on the presence of typical white matter (WM) lesions. Neurodegeneration characterised by brain atrophy is recognised in the research field as an important prognostic factor. It is not routinely reported clinically, in part due to difficulty in achieving reproducible measurements. Automated MRI quantification of WM lesions and brain volume could provide important clinical monitoring data. In general, lesion quantification relies on both T1 and FLAIR input images, while tissue volumetry relies on T1. However, T1-weighted scans are not routinely included in the clinical MS protocol, limiting the utility of automated quantification. OBJECTIVES: We address an aspect of this important translational challenge by assessing the performance of FLAIR-only lesion and brain segmentation, against a conventional approach requiring multi-contrast acquisition. We explore whether FLAIR-only grey matter (GM) segmentation yields more variability in performance compared with two-channel segmentation; whether this is related to field strength; and whether the results meet a level of clinical acceptability demonstrated by the ability to reproduce established biological associations. METHODS: We used a multicentre dataset of subjects with a CIS suggestive of MS scanned at 1.5T and 3T in the same week. WM lesions were manually segmented by two raters, 'manual 1' guided by consensus reading of CIS-specific lesions and 'manual 2' by any WM hyperintensity. An existing brain segmentation method was adapted for FLAIR-only input. Automated segmentation of WM hyperintensity and brain volumes were performed with conventional (T1/T1 + FLAIR) and FLAIR-only methods. RESULTS: WM lesion volumes were comparable at 1.5T between 'manual 2' and FLAIR-only methods and at 3T between 'manual 2', T1 + FLAIR and FLAIR-only methods. For cortical GM volume, linear regression measures between conventional and FLAIR-only segmentation were high (1.5T: α = 1.029, R2 = 0.997, standard error (SE) = 0.007; 3T: α = 1.019, R2 = 0.998, SE = 0.006). Age-associated change in cortical GM volume was a significant covariate in both T1 (p = 0.001) and FLAIR-only (p = 0.005) methods, confirming the expected relationship between age and GM volume for FLAIR-only segmentations. CONCLUSIONS: FLAIR-only automated segmentation of WM lesions and brain volumes were consistent with results obtained through conventional methods and had the ability to demonstrate biological effects in our study population. Imaging protocol harmonisation and validation with other MS phenotypes could facilitate the integration of automated WM lesion volume and brain atrophy analysis as clinical tools in radiological MS reporting.

Hepatopatia esteroidal em gatas após terapia com prednisolona: aspectos laboratoriais, tomográficos e histopatológicos / [Steroid hepatopathy in cats after prednisolone use: laboratory, tomographic, and histopathologic aspects]

Glicocorticoides são amplamente utilizados na clínica de pequenos animais, entretanto seu uso contínuo pode causar efeitos colaterais. Os gatos são considerados menos susceptíveis a esses efeitos do que outras espécies, mas existem poucos trabalhos abordando os efeitos adversos em felinos. O objetivo deste estudo foi avaliar possíveis alterações laboratoriais, histopatológicas e do grau de atenuação radiográfica do parênquima hepático de gatas submetidas à terapia com prednisolona. Um ensaio clínico foi realizado em quatro gatas hígidas, as quais receberam prednisolona, por via oral, na dose de 3mg/kg, durante 60 dias consecutivos. Nos achados histopatológicos após 60 dias de tratamento, observou-se desorganização dos cordões de hepatócitos e degeneração vacuolar, além de necrose de hepatócitos, porém não foram observados sinais de fibrose no parênquima hepático. Os dados da tomografia computadorizada demonstram aumento do grau de atenuação do parênquima hepático a partir do 30º dia da administração de prednisolona, que persistiu até o final do experimento. No presente estudo, foi possível caracterizar a existência de hepatopatia esteroidal em gatos em estágios precoces da terapia com prednisolona.(AU)

Glucocorticoids are widely used medications in small animal practice; however, its continuous use can have side effects. Cats are considered less susceptible than other species, however, the literature does not usually address adverse effects in felines. The objective of this study was to evaluate possible laboratory and histopathologic changes, as well as changes to the degree of radiographic attenuation of the hepatic parenchyma in cats treated with prednisolone. A clinical trial was done in four healthy cats, who received prednisolone orally at 3mg/kg during 60 consecutive days. In the histopathologic findings at 60 days of treatment, there were disorganized hepatocyte chords and vacuolar degeneration, as well as hepatocyte necrosis, however, there were no signs of fibrosis in the hepatic parenchyma. Data obtained via computed tomography showed increase of the degree of attenuation in the hepatic parenchyma from day 30 of prednisolone therapy, which persisted until the end of the experiment. In the present study, it was possible to characterize the existence of steroidal hepathopathy in cats in the early stages of prednisolone therapy.(AU)

ESO-ESMO 4th International Consensus Guidelines for Breast Cancer in Young Women (BCY4).

The 4th International Consensus Conference for Breast Cancer in Young Women (BCY4) took place in October 2018, in Lugano, Switzerland, organized by the European School of Oncology (ESO) and the European Society of Medical Oncology (ESMO). Consensus recommendations for the management of breast cancer in young women were updated from BCY3 with incorporation of new evidence to inform the guidelines. Areas of research priorities were also identified. This article summarizes the ESO-ESMO international consensus recommendations, which are also endorsed by the European Society of Breast Specialists (EUSOMA).

EUSOMA position regarding breast implant associated anaplastic large cell lymphoma (BIA-ALCL) and the use of textured implants.

During the last two decades the number of breast implants used in aesthetic, oncologic and risk reducing surgery has increased substantially mainly due to the improvement and confirmed safety of these devices. Since identification of the first case of anaplastic large cell lymphoma associated with a breast implant (BIA-ALCL) 20 years ago, there has been an increase in the number of reports of this very rare disease, demonstrating a clear association with breast implants. Whilst the majority of cases are localised and cured by implant removal and full capsulectomy, a small percentage require chemotherapy and the mortality rate is very low. The evidence linking BIA-ALCL to implant surface texturing, as the majority of cases were diagnosed in patients with textured implants, has raised concerns about the long term safety of these devices resulting in patient and regulatory authority concerns globally. We hereby present the current published knowledge about the link between BIA-ALCL and implant surface texture and a review of current regulatory and professional body advice across Europe, which may enable a better understanding of this rare disease, how to manage and ultimately prevent it. We conclude by giving EUSOMA recommendation, towards the unnecessary change in attitudes towards implant based surgery, according to the most recent available published evidence as long as patients are properly informed about the risk of BIA-ALCL.

Variability in breast cancer surgery training across Europe: An ESSO-EUSOMA international survey.

BACKGROUND: At present there is a lack of standardization of training in breast cancer surgery across Europe. The aim of this survey was to assess current practice in Europe regarding training in breast cancer (BC) surgery. MATERIAL AND METHODS: General surgeons, surgical oncologists, gynecologist, and plastic surgeons in Europe were invited to participate in this bespoke survey including 19 questions. RESULTS: The survey was sent to 3.000 surgical oncologists across Europe. A total of 671 physicians (387 general surgeons, 152 gynecologists, 126 surgical oncologist, 31 plastic surgeons) answered the survey (23% response rate). Four hundred and sixty-eight physicians devoted between 50% -100% of their job to treating breast cancer. 45% worked in a community/University hospital within a dedicated Breast Unit. Specific additional breast surgery training was not universal: 20% had undertaken an accredited breast fellowship, 30% in a Breast Unit as a trainee, 21% had done additional courses, masters or diploma and 8% had not done any additional training. The majority (61%) of respondents worked in Units treating >150 BC cases per year, while 26% of the responders treat >120 new primary cases per year, and 23% less than 50 new cases a year. Multivariate analysis showed that breast surgeons working in a Breast Unit and treating more than 50 cases/year significantly performed oncoplastic procedures. CONCLUSION: There is a great variability in breast cancer surgery training in Europe. It is imperative to develop quality standards for breast cancer surgery training to ensure that patients get standardized and certified surgical management regardless of the country in which they are treated.

Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region.

Owing to its excellent soft-tissue contrast, magnetic resonance (MR) imaging has found an increased application in radiation therapy (RT). By harnessing these properties for treatment planning, automated segmentation methods can alleviate the manual workload burden to the clinical workflow. We investigated atlas-based segmentation methods of organs at risk (OARs) in the head and neck (H&N) region using one approach that selected the most similar atlas from a library of segmented images and two multi-atlas approaches. The latter were based on weighted majority voting and an iterative atlas-fusion approach called STEPS. We built the atlas library from pre-treatment T1-weighted MR images of 12 patients with manual contours of the parotids, spinal cord and mandible, delineated by a clinician. Following a leave-one-out cross-validation strategy, we measured the geometric accuracy by calculating Dice similarity coefficients (DSC), standard and 95% Hausdorff distances (HD and HD95), and the mean surface distance (MSD), whereby the manual contours served as the gold standard. To benchmark the algorithm, we determined the inter-observer variability (IOV) between three observers. To investigate the dosimetric effect of segmentation inaccuracies, we implemented an auto-planning strategy within the treatment planning system Monaco (Elekta AB, Stockholm, Sweden). For each set of auto-segmented OARs, we generated a plan for a 9-beam step and shoot intensity modulated RT treatment, designed according to our institution's clinical H&N protocol. Superimposing the dose distributions on the gold standard OARs, we calculated dose differences to OARs caused by delineation differences between auto-segmented and gold standard OARs. We investigated the correlations between geometric and dosimetric differences. The mean DSC was larger than 0.8 and the mean MSD smaller than 2 mm for the multi-atlas approaches, resulting in a geometric accuracy comparable to previously published results and within the range of the IOV. While dosimetric differences could be as large as 23% of the clinical goal, treatment plans fulfilled all imposed clinical goals for the gold standard OARs. Correlations between geometric and dosimetric measures were low with R2 < 0.5. The geometric accuracy and the ability to achieve clinically acceptable treatment plans indicate the suitability of using atlas-based contours for RT treatment planning purposes. The low correlations between geometric and dosimetric measures suggest that geometric measures alone are not sufficient to predict the dosimetric impact of segmentation inaccuracies on treatment planning for the data utilised in this study.

Bullseye's representation of cerebral white matter hyperintensities.

BACKGROUND AND PURPOSE: Visual rating scales have limited capacities to depict the regional distribution of cerebral white matter hyperintensities (WMH). We present a regional-zonal volumetric analysis alongside a visualization tool to compare and deconstruct visual rating scales. MATERIALS AND METHODS: 3D T1-weighted, T2-weighted spin-echo and FLAIR images were acquired on a 3T system, from 82 elderly participants in a population-based study. Images were automatically segmented for WMH. Lobar boundaries and distance to ventricular surface were used to define white matter regions. Regional-zonal WMH loads were displayed using bullseye plots. Four raters assessed all images applying three scales. Correlations between visual scales and regional WMH as well as inter and intra-rater variability were assessed. A multinomial ordinal regression model was used to predict scores based on regional volumes and global WMH burdens. RESULTS: On average, the bullseye plot depicted a right-left symmetry in the distribution and concentration of damage in the periventricular zone, especially in frontal regions. WMH loads correlated well with the average visual rating scores (e.g. Kendall's tau [Volume, Scheltens]=0.59 CI=[0.53 0.62]). Local correlations allowed comparison of loading patterns between scales and between raters. Regional measurements had more predictive power than global WMH burden (e.g. frontal caps prediction with local features: ICC=0.67 CI=[0.53 0.77], global volume=0.50 CI=[0.32 0.65], intra-rater=0.44 CI=[0.23 0.60]). CONCLUSION: Regional-zonal representation of WMH burden highlights similarities and differences between visual rating scales and raters. The bullseye infographic tool provides a simple visual representation of regional lesion load that can be used for rater calibration and training.

Insulinoma canino: relato de caso / Canine insulinoma: case reports

O insulinoma é um tumor das células ß do pâncreas, que têm a função de produzir e secretar insulina e, geralmente são malignos em cães. O presente trabalho descreve o diagnóstico e o manejo terapêutico de três casos de insulinoma. Os sinais clínicos dos animais relatados variaram de acordo com a severidade e a duração da hipoglicemia. O diagnóstico presuntivo se deu através dos sinais clínicos e da dosagem de insulina sérica no momento de mais intensa hipoglicemia e, o diagnóstico definitivo foi obtido por meio de exame histopatológico nos três casos relatados. O tratamento realizado variou de acordo com a intensidade dos sinais clínicos.(AU)

Insulinoma is a tumor of the ß cells of the pancreas, which have the function to produce and secrete insulin and are usually malignant in dogs. This paper describes the diagnosis and therapeutic management of three cases of insulinoma. The clinical signs reported animals varied according to the severity and duration of hypoglycemia. The presumptive diagnosis was based on clinical signs and serum insulin dosage at the time of hypoglycemia and more intense, the definitive diagnosis was made by histopathological examination in three of the reported cases. The treatment was varied according to the severity of clinical signs.(AU)

Performance of grain sorghum hybrids under drought stress using GGE biplot analyses.

The objective of this study was to estimate the adaptability and stability of grain sorghum hybrids grown under post-flowering water stress and non-stress conditions. The trials were carried out in Nova Porteirinha-MG during the season of 2014 and 2015, and in Teresina-PI in the 2014 season. Twenty-nine-grain sorghum hybrids were evaluated, in a randomized complete block design, with three replications. Plots consisted of four lines with 3 m long. The grain yield data were submitted to the individual variance analysis, having considered the effects of the hybrids as fixed and the other effects as random. The joint analysis was carried out, and when the interaction genotypes x environments was significant, the grain yield data were submitted to the adaptability and stability analysis by the GGE biplot method. A substantial reduction in the grain yield in environments with water stress was found. The highest yielding hybrids under water stress conditions in Nova Porteirinha-MG were 50A50, AG1080, AG1090, DKB550, DKB590, Jade, and BM737, and the highest yielding hybrids under the water stress in Teresina-PI were 1G282, 1G244, and A9721R. Considering all environments, the highest yielding hybrids were 1G282, DKB540, A9721R, 1G100, and AG1090.