The power of art and the powers of adolescents with cancer: Age-specific projects at Italian pediatric oncology centers.

This article describes the oncology programs developed in Italy for adolescents and young adults with cancer, with a specific focus on the local projects created in pediatric oncology centers. A common feature of such projects is the emphasis on creative and artistic activities and laboratories (involving music, photography, novel writing, fashion design, and so on) designed to give young patients innovative means of expression.This article highlights the amazing powers of adolescents involved in these projects: the power to produce beautiful things in a place that is not normally associated with the idea of beauty; the power to make their doctors smile and grasp the profound sense of life; the power to make hospitals become places for producing culture.

Spontaneous epidural and subdural hematomas of the spine: Review of anatomy and imaging findings.

Spontaneous epidural (SEH) and subdural hematomas (SSH) of the spine are a rare cause of spinal injury and morbidity. They often present in the emergency setting, though magnetic resonance imaging is the gold-standard for diagnosis. Knowledge of anatomy, and in particular of the dural layers of the spine, is crucial to understand the location of SEH and SSH and their relationship with spinal structure. In this pictorial review, we aim to explain imaging features of the SEH and SSH, and to rule out their main differential diagnosis.

Current role of machine learning and radiogenomics in precision neuro-oncology.

In the past few years, artificial intelligence (AI) has been increasingly used to create tools that can enhance workflow in medicine. In particular, neuro-oncology has benefited from the use of AI and especially machine learning (ML) and radiogenomics, which are subfields of AI. ML can be used to develop algorithms that dynamically learn from available medical data in order to automatically do specific tasks. On the other hand, radiogenomics can identify relationships between tumor genetics and imaging features, thus possibly giving new insights into the pathophysiology of tumors. Therefore, ML and radiogenomics could help treatment tailoring, which is crucial in personalized neuro-oncology. The aim of this review is to illustrate current and possible future applications of ML and radiomics in neuro-oncology.

Sphenoid bone localization in the setting of highly aggressive and refractory Multiple Myeloma: A case report.

Multiple Myeloma (MM) is the most common primary osseous malignancy in adults, and it mainly affects men aged between 50 and 70 years. Although rare, central nervous system (CNS) involvement in MM is possible, and it has very poor prognosis. Therefore, fast and accurate diagnosis of CNS manifestation of MM is paramount. Here we describe a case of sphenoid bone localization in a patient with highly aggressive and refractory MM.

How Did Adolescents With Cancer Experience the COVID-19 Pandemic? A Report From Italian Pediatric Hematology Oncology Association Centers.

PURPOSE: This study set out to evaluate the psychosocial effects of coronavirus disease 2019 (COVID-19) among adolescents with cancer, and whether these effects are significantly different among adolescents who were undergoing therapy or had completed it. MATERIALS AND METHODS: The AIEOP Adolescents Working Group and the AIEOP Psychosocial Working Group adapted a questionnaire, which was completed by 214 adolescent cancer patients ( Mage =16.3 y, range: 15 to 19 y old) treated at 16 AIEOP centers in the North (38%), South (31%), and Center (31%) of Italy. RESULTS: The results highlighted that fear of the virus is equally distributed among adolescent cancer patients, with patients being particularly concerned about their parents and families. The adolescents reported that had no difficulty in following individual safety measures: they used personal protective equipment and they were attentive to their own health and adhering to the rules imposed by doctors and the wider community. There are very few, limited differences between adolescents undergoing treatment (active group) and those who have completed treatment (follow-up group). The reminder of their own therapy experience triggered by the use of personal protective equipment, and the more common refusal to follow some restrictions were the only 2 behaviors by which the follow-up group differed significantly from the adolescents in the active group. CONCLUSIONS: Adolescents with cancer seem to have coped well with the pandemic: although they were very afraid of the virus for themselves and their families, and had to limit their social contact, they did comply with the restrictions. Their experience of cancer probably also had a positive effect in cultivating adolescents who are more responsible and resilient in emergency situations such as the pandemic.

Reversible cerebral vasoconstriction syndrome: review of neuroimaging findings.

Reversible cerebral vasoconstriction syndrome (RCVS) is a group of disorders characterized by segmental narrowing and dilatation of medium-to-large cerebral arteries, clinically presenting with recurrent episodes of sudden-onset thunderclap headaches, with or without focal neurological deficits. Cerebral vasoconstriction is typically reversible, with spontaneous resolution within 3 months. Although the syndrome has generally a benign course, patients with neurological deficits may experience worse outcome. The main imaging finding is segmental constriction of intracranial arteries, which can be associated with subarachnoid hemorrhage and/or ischemic foci. Other possible findings are intracranial hemorrhage, subdural bleeding and cerebral edema. The latter may have a pattern which can resemble that of posterior reversible encephalopathy syndrome, a condition that can overlap with RCVS. New imaging techniques, such as vessel wall imaging and arterial spin labeling, are proving useful in RCVS and are giving new insights into the pathophysiology of this condition. In this paper, we aim to review neuroimaging findings of RCVS.

Discal cyst: a rare cause of low back pain and sciatica.

We report a case of a 54-year-old man suffering from sciatalgia unresponsive to medical treatment. Imaging revealed a discal cyst the level L3-L4, a rare cause of low back pain, which has characteristic imaging features. In particular, on Magnetic Resonance Imaging it appears as a cystic formation with fluid content, which usually arises from the posterior contour of the intervertebral disc and it frequently has air bubbles within it. The patient underwent surgical treatment with resolution of symptoms.

Default-Mode Network Connectivity Changes Correlate with Attention Deficits in ALL Long-Term Survivors Treated with Radio- and/or Chemotherapy.

Whether chemotherapy (ChT) and radiotherapy (RT) determine neurocognitive impairment in acute lymphoblastic leukemia long-term survivors (ALL LTSs) through similar mechanisms affecting the same brain regions is still unknown. We compared neurocognitive alterations, regional brain tissue volumes (by voxel-based morphometry), and functional connectivity of the main default-mode network hubs (by seed-based analysis of resting state functional MRI data), in 13 ALL LTSs treated with RT and ChT (Group A) and 13 treated with ChT only (Group B). Group A performed significantly worse than Group B at the digit span and digit symbol tests (p = 0.023 and 0.013, respectively). Increased connectivity between the medial prefrontal cortex (the main anterior hub of the default-mode network) and the rolandic operculi was present in Group A compared to Group B, along with the absence of significant differences in regional brain tissue volumes. In these regions, the functional connectivity correlated inversely with the speed of processing scores, independent of treatment group. These results suggest that similar mechanisms may be involved in the neurocognitive deficits in ALL LTS patients, regardless of the treatment group. Further studies are needed to clarify whether these changes represent a direct expression of the mechanisms underlying the cognitive deficits or ineffective compensatory phenomena.

Diagnostic Delay in Adolescents with Cancer During COVID-19 Pandemic: A New Price for Our Patients to Pay.

Worldwide, the coronavirus 19 disease pandemic caused a worse chance of a timely diagnosis for cancer patients. We conducted a retrospective analysis of new diagnoses registered in the national pediatric oncology database, comparing the first lockdown period (March-May 2020) with the same period of 2015-2019. The total number of cases (0-19 years) dropped by 20.8% (from 441 between 2015 and 2019 to 349 in 2020). A major reduction was observed for adolescents (15-19 years) (-32.9%) and for adolescents with solid tumors (-56.4%, p = 0.03). Our data suggest that the enforced lockdown reduced the possibility for these already vulnerable patients to access the referral centers.

Cognitive trajectories in multiple sclerosis: a long-term follow-up study.

BACKGROUND: Cognitive impairment occurs in multiple sclerosis (MS) and undergoes a progressive worsening over disease course. However, clinicians still struggle to predict the course of cognitive function. To evaluate baseline clinical and imaging predictors of cognitive abilities worsening over time, we performed a latent trajectory analysis for cognitive performances in MS patients, up to 15 years from disease onset. METHODS: We collected age, sex, education, dominant and non-dominant 9-hole peg test (9HP) and timed 25-foot walk (T25-FW) as well as MRI measures (grey matter volume and lesion load) within 6 months from disease diagnosis for relapsing-remitting MS (RR-MS) patients. At diagnosis and over the follow-up, we also assessed cognitive status through the symbol digit modalities test (SDMT). Cognitive impairment was defined by applying age-, gender- and education-adjusted normative values. Group-based trajectory analysis was performed to determine trajectories, and the predictive value of clinical and imaging variables at baseline was assessed through multinomial logistic regression. RESULTS: We included 148 RR-MS (98 females and 50 males). Over 11 ± 4 year follow-up, 51.4% remained cognitively stable whereas 48.6% cognitively worsened. Cognitively worsening patients had a higher T25FW time (p = 0.004) and a reduced hippocampal volume at baseline (p = 0.04). CONCLUSION: Physical disability as well as hippocampal atrophy might depict patients at risk of cognitive worsening over the disease course. Therefore, using such predictors, clinicians may select patients to carefully evaluate for cognitive impairment as to eventually introduce cognitive rehabilitation treatments.

Neuroradiological findings in Alagille syndrome.

Alagille syndrome (ALGS) is a multisystemic disease caused by mutations in genes of Notch pathway, which regulates embryonic cell differentiation and angiogenesis. Clinically, ALGS is characterized by cholestasis, cardiac defects, characteristic facial features, skeletal and ophthalmologic abnormalities. The aim of this review is to illustrate neuroradiological findings in ALGS, which are less well-known and prevalent, including cerebrovascular anomalies (such as aneurysms, dolichoectasia, Moyamoya syndrome and venous peculiarities), Chiari 1 malformation, craniosynostosis, intracranial hypertension, and vertebral anomalies (namely butterfly vertebra, hemivertebra, and craniocervical junction anomalies). Rarer cerebral midline malformations and temporal bone anomalies have also been described.

Assessment and Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Imaging Modalities and Future Perspectives.

Neoadjuvant chemotherapy (NAC) is becoming the standard of care for locally advanced breast cancer, aiming to reduce tumor size before surgery. Unfortunately, less than 30% of patients generally achieve a pathological complete response and approximately 5% of patients show disease progression while receiving NAC. Accurate assessment of the response to NAC is crucial for subsequent surgical planning. Furthermore, early prediction of tumor response could avoid patients being overtreated with useless chemotherapy sections, which are not free from side effects and psychological implications. In this review, we first analyze and compare the accuracy of conventional and advanced imaging techniques as well as discuss the application of artificial intelligence tools in the assessment of tumor response after NAC. Thereafter, the role of advanced imaging techniques, such as MRI, nuclear medicine, and new hybrid PET/MRI imaging in the prediction of the response to NAC is described in the second part of the review. Finally, future perspectives in NAC response prediction, represented by AI applications, are discussed.

A Unique Case of Bilateral Thalamic High-Grade Glioma in a Pediatric Patient with LI-Fraumeni Syndrome: Case Presentation and Review of the Literature.

Li-Fraumeni syndrome (LFS) is a rare high-penetrance and autosomal-dominant pathological condition caused by the germline mutation of the TP53 gene, predisposing to the development of tumors from pediatric age. We conducted a qualitative systematic review following the ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) framework. A search was made in MEDLINE/Pubmed and MeSH Database using the terms "Li-Fraumeni" AND "pediatric high-grade glioma (HGG)", identifying six cases of HGGs in pediatric patients with LFS. We added a further case with peculiar features such as no familiar history of LFS, association of embryonal rhabdomyosarcoma and bithalamic HGG, whose immunohistochemical profile was accurately defined by Next Generation Sequencing. Knowledge synthesis and case analysis grounded the discussion about challenges in the management of this pathology in pediatric age.

Conventional MRI findings in hereditary degenerative ataxias: a pictorial review.

PURPOSE: Cerebellar ataxias are a large and heterogeneous group of disorders. The evaluation of brain parenchyma via MRI plays a central role in the diagnostic assessment of these conditions, being mandatory to exclude the presence of other underlying causes in determining the clinical phenotype. Once these possible causes are ruled out, the diagnosis is usually researched in the wide range of hereditary or sporadic ataxias. METHODS: We here propose a review of the main clinical and conventional imaging findings of the most common hereditary degenerative ataxias, to help neuroradiologists in the evaluation of these patients. RESULTS: Hereditary degenerative ataxias are all usually characterized from a neuroimaging standpoint by the presence, in almost all cases, of cerebellar atrophy. Nevertheless, a proper assessment of imaging data, extending beyond the mere evaluation of cerebellar atrophy, evaluating also the pattern of volume loss as well as concomitant MRI signs, is crucial to achieve a proper diagnosis. CONCLUSION: The integration of typical neuroradiological characteristics, along with patient's clinical history and laboratory data, could allow the neuroradiologist to identify some conditions and exclude others, addressing the neurologist to the more appropriate genetic testing.

Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis.

PURPOSE: To systematically review and evaluate the methodological quality of studies using radiomics for diagnostic and predictive purposes in patients with intracranial meningioma. To perform a meta-analysis of machine learning studies for the prediction of intracranial meningioma grading from pre-operative brain MRI. METHODS: Articles published from the year 2000 on radiomics and machine learning applications in brain imaging of meningioma patients were included. Their methodological quality was assessed by three readers with the radiomics quality score, using the intra-class correlation coefficient (ICC) to evaluate inter-reader reproducibility. A meta-analysis of machine learning studies for the preoperative evaluation of meningioma grading was performed and their risk of bias was assessed with the Quality Assessment of Diagnostic Accuracy Studies tool. RESULTS: In all, 23 studies were included in the systematic review, 8 of which were suitable for the meta-analysis. Total (possible range, -8 to 36) and percentage radiomics quality scores were respectively 6.96 ± 4.86 and 19 ± 13% with a moderate to good inter-reader reproducibility (ICC = 0.75, 95% confidence intervals, 95%CI = 0.54-0.88). The meta-analysis showed an overall AUC of 0.88 (95%CI = 0.84-0.93) with a standard error of 0.02. CONCLUSIONS: Machine learning and radiomics have been proposed for multiple applications in the imaging of meningiomas, with promising results for preoperative lesion grading. However, future studies with adequate standardization and higher methodological quality are required prior to their introduction in clinical practice.

Olfactory bulb enlargement in neurofibromatosis type 1: report of a novel finding.

Neurofibromatosis type 1 (NF1) is a genetic autosomal dominant disease caused by mutation of the protein neurofibromin, a regulator of cell growth. The most frequent intracranial findings are unidentified bright objects (UBOs), thickening of the corpus callosum, sphenoid wing dysplasia, cerebral vasculopathy, optic and non-optic pilocytic astrocytomas, and plexiform neurofibromas. We report two cases of NF1 patients with asymptomatic olfactory bulbs (OBs) enlargement depicted with Magnetic Resonance Imaging (MRI). To the best of our knowledge, this finding has not been reported in the scientific literature so far. We hypothesize that olfactory bulbs enlargement may have a pathogenetic nature like that of the UBOs as in one of our patients there was spontaneous regression during follow-up. The olfactory bulbs enlargement expands the broad neuroradiological spectrum of finding of NF1. More reports are required to better understand incidence, pathogenesis, and clinical behavior of olfactory bulbs enlargement in NF1 patients.