Identificazione di approcci matematici per la selezione di features radiomiche statisticamente significative per la caratterizzazione del tumore mammario e altri tumori solidi da immagini radiologiche cliniche di pazienti

Purpose: Focal pattern in multiple myeloma (MM) seems to be related to poorer survival and differentiation from diffuse to focal pattern on computed tomography (CT) has inter-reader variability. This study aims evaluate if Radiomic approach could help radiologists in differentiating diffuse from focal patterns on CT.\u2028Methods: We retrospectively reviewed imaging data of 70 patients with MM with CT, PET-CT or MRI available before bone marrow transplant. Two general radiologist evaluated, in consensus, CT images to define a focal (at least one lytic lesion > 5 mm in diameter) or a diffuse (lesions < 5 mm, not osteoporosis) pattern. N = 104 Radiomics features were extracted and evaluated with an open source software. Results: We found, after feature reduction, 9 features were different (p < 0.05) in the diffuse and focal patterns AUC of the Radiologists versus Reference Standard was 0.64. Conclusion: A Radiomics approach improves radiological evaluation of focal and diffuse pattern of MM on CT

Radiological clinical trials: Proposal of a problem-finding questionnaire to improve study success

open5AIM To develop a survey to help define the main problems in radiological clinical trials. METHODS Since 2006, we have managed seven different radio-logical clinical trials recruiting patients in academic and non-academic centres. We developed a preliminary questionnaire using a four-round Delphi approach to identify problems occurring in radiological clinical trials run at our centre. We investigated the recruitment experience, involvement of all multi-disciplinary team members and main obstacles to completing the projects. A final round of Delphi processes elucidated solutions to the identified problems.openValdora, Francesca; Bignotti, Bianca; Calabrese, Massimo; Houssami, Nehmat; Tagliafico, AlbertoValdora, Francesca; Bignotti, Bianca; Calabrese, Massimo; Houssami, Nehmat; Tagliafico, Albert

Evaluation of background parenchymal enhancement on breast MRI: A systematic review

Objective: To perform a systematic review of the methods used for background parenchymal enhancement (BPE) evaluation on breast MRI. Methods: Studies dealing with BPE assessment on breast MRI were retrieved from major medical libraries independently by four reviewers up to 6October 2015. The keywords used for database searching are "background parenchymal enhancement", "parenchymal enhancement", "MRI" and "breast". The studies were included if qualitative and/or quantitative methods for BPE assessment were described. Results: Of the 420 studies identified, a total of 52 articles were included in the systematic review. 28 studies performed only a qualitative assessment of BPE, 13 studies performed only a quantitative assessment and 11 studies performed both qualitative and quantitative assessments. A wide heterogeneity was found in the MRI sequences and in the quantitative methods used for BPE assessment. Conclusion: A wide variability exists in the quantitative evaluation of BPE on breast MRI. More studies focused on a reliable and comparable method for quantitative BPE assessment are needed. Advances in knowledge: More studies focused on a quantitative BPE assessment are needed

A non-invasive approach to monitor chronic lymphocytic leukemia engraftment in a xenograft mouse model using ultra-small superparamagnetic iron oxide-magnetic resonance imaging (USPIO-MRI).

This work was supported by: Associazione Italiana Ricerca sul Cancro (AIRC) [Grant 5 x mille n.9980, (to M.F., F.M. and A. N.)]; AIRC I.G. [n. 14,326 (to M.F.)], [n.10136 and 16,722 (A.N.)], [n.15426 (to F.F.)]. AIRC and Fondazione CaRiCal co-financed Multi Unit Regional Grant 2014 [n.16695 (to F.M.)]. Italian Ministry of Health 5 × 1000 funds (to F.F). A.G R. was supported by Associazione Italiana contro le Leucemie-Linfomi-Mielomi (AIL) Cosenza - Fondazione Amelia Scorza (FAS). S.M. C.M., F.V., L. E., S. B., were supported by AIRC.Peer reviewedPostprin

Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features

The aim of this paper was to investigate whether quantitative radiomic features extracted from digital breast tomosynthesis (DBT) are associated with Ki-67 expression of breast cancer. This was a prospective ethically approved study of 70 women diagnosed with invasive breast cancer in 2018, including 40 low Ki-67 expression (Ki-67 proliferation index <14%) cases and 30 high Ki-67 expression (Ki-67 proliferation index ≥ 14%) cases. A set of 106 quantitative radiomic features, including morphological, grey/scale statistics, and texture features, were extracted from DBT images. After applying least absolute shrinkage and selection operator (LASSO) method to select the most predictive features set for the classifiers, low versus high Ki-67 expression was evaluated by the area under the curve (AUC) at receiver operating characteristic analysis. Correlation coefficient was calculated for the most significant features

MRI versus mammography plus ultrasound in women at intermediate breast cancer risk: study design and protocol of the MRIB multicenter, randomized, controlled trial

In women at high/intermediate lifetime risk of breast cancer (BC-LTR), contrast-enhanced magnetic resonance imaging (MRI) added to mammography ± ultrasound (MX ± US) increases sensitivity but decreases specificity. Screening with MRI alone is an alternative and potentially more cost-effective strategy. Here, we describe the study protocol and the characteristics of enrolled patients for MRIB feasibility, multicenter, randomized, controlled trial, which aims to compare MRI alone versus MX+US in women at intermediate breast cancer risk (aged 40-59, with a 15-30% BC-LTR and/or extremely dense breasts). Two screening rounds per woman were planned in ten centers experienced in MRI screening, the primary endpoint being the rate of cancers detected in the 2 arms after 5 years of follow-up. From July 2013 to November 2015, 1254 women (mean age 47 years) were enrolled: 624 were assigned to MX+US and 630 to MRI. Most of them were aged below 50 (72%) and premenopausal (45%), and 52% used oral contraceptives. Among postmenopausal women, 15% had used hormone replacement therapy. Breast and/or ovarian cancer in mothers and/or sisters were reported by 37% of enrolled women, 79% had extremely dense breasts, and 41% had a 15-30% BC-LTR. The distribution of the major determinants of breast cancer risk profiles (breast density and family history of breast and ovarian cancer) of enrolled women varied across centers

Transcribed-ultra conserved region expression is associated with outcome in high-risk neuroblastoma

<p>Abstract</p> <p>Background</p> <p>Neuroblastoma is the most common, pediatric, extra-cranial, malignant solid tumor. Despite multimodal therapeutic protocols, outcome for children with a high-risk clinical phenotype remains poor, with long-term survival still less than 40%. Hereby, we evaluated the potential of non-coding RNA expression to predict outcome in high-risk, stage 4 neuroblastoma.</p> <p>Methods</p> <p>We analyzed expression of 481 Ultra Conserved Regions (UCRs) by reverse transcription-quantitative real-time PCR and of 723 microRNAs by microarrays in 34 high-risk, stage 4 neuroblastoma patients.</p> <p>Results</p> <p>First, the comparison of 8 short- versus 12 long-term survivors showed that 54 UCRs were significantly (<it>P </it>< 0.0491) over-expressed in the former group. For 48 Ultra Conserved Region (UCRs) the expression levels above the cut-off values defined by ROC curves were strongly associated with good-outcome (OS: 0.0001 <<it>P </it>< 0.0185, EFS: 0.0001 <<it>P </it>< 0.0491). Then we tested the Transcribed-UCR (T-UCR) threshold risk-prediction model on an independent cohort of 14 patients. The expression profile of 28 T-UCRs was significantly associated to prognosis and at least 15 up-regulated T-UCRs are needed to discriminate (<it>P </it>< 0.0001) short- from long-survivors at the highest sensitivity and specificity (94.12%). We also identified a signature of 13 microRNAs differently expressed between long- and short-surviving patients. The comparative analysis of the two classes of non-coding RNAs disclosed that 9 T-UCRs display their expression level that are inversely correlated with expression of 5 complementary microRNAs of the signature, indicating a negative regulation of T-UCRs by direct interaction with microRNAs. Moreover, 4 microRNAs down-regulated in tumors of long-survivors target 3 genes implicated in neuronal differentiation, that are known to be over-expressed in low-risk tumors.</p> <p>Conclusions</p> <p>Our pilot study suggests that a deregulation of the microRNA/T-UCR network may play an important role in the pathogenesis of neuroblastoma. After further validation on a larger independent set of samples, such findings may be applied as the first T-UCR prognostic signature for high-risk neuroblastoma patients.</p

Epigenetic Silencing of DKK3 in Medulloblastoma

Medulloblastoma (MB) is a malignant pediatric brain tumor arising in the cerebellum consisting of four distinct subgroups: WNT, SHH, Group 3 and Group 4, which exhibit different molecular phenotypes. We studied the expression of Dickkopf (DKK) 1–4 family genes, inhibitors of the Wnt signaling cascade, in MB by screening 355 expression profiles derived from four independent datasets. Upregulation of DKK1, DKK2 and DKK4 mRNA was observed in the WNT subgroup, whereas DKK3 was downregulated in 80% MBs across subgroups with respect to the normal cerebellum (p &lt; 0.001). Since copy number aberrations targeting the DKK3 locus (11p15.3) are rare events, we hypothesized that epigenetic factors could play a role in DKK3 regulation. Accordingly, we studied 77 miRNAs predicting to repress DKK3; however, no significant inverse correlation between miRNA/mRNA expression was observed. Moreover, the low methylation levels in the DKK3 promoters (median: 3%, 5% and 5% for promoter 1, 2 and 3, respectively) excluded the downregulation of gene expression by methylation. On the other hand, the treatment of MB cells with Trichostatin A (TSA), a potent inhibitor of histone deacetylases (HDAC), was able to restore both DKK3 mRNA and protein. In conclusion, DKK3 downregulation across all MB subgroups may be due to epigenetic mechanisms, in particular, through chromatin condensation

Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI

Objectives: To evaluate the correlation between psoas muscle area (TPA) on CT images and pectoralis muscle area (PMA) on MRI in breast cancer patients. Methods: This retrospective study was institutional review board approved and women involved gave written informed consent. Twenty six patients with both body CT and breast MRI available were evaluated. Two radiologists calculated TPA on 1.25-mm and 5-mm body CT images. Two radiologists measured PMA on axial T1-weighted images. Statistical analysis included inter- and intra-reader agreement and correlation between TPA on CT and PMA on MRI. Results: The Pearson r correlation coefficient was 0.70 (95% CI 0.41\u20130.81) and the coefficient of determination was 0.49. The inter-reader agreement was k = 0.85 and k = 0.79 for axial 1.25-mm and 5-mm CT images, respectively. The intra-reader agreement of reader 1 was k = 0.98 and k = 0.94 for 1.25-mm and 5-mm CT images, respectively. The intra-reader agreement of reader 2 was k = 0.95 and k = 0.94 for 1.25-mm and 5-mm CT images, respectively. On axial T1-weighted images, the inter-reader agreement for radiologists evaluating the PMA was k = 0.61. Intra-observer agreement of reader 1 and reader 2 for PMA estimation was good (0.62 and 0.64), respectively. Conclusion: The correlation between TPA on CT images and PMA on MRI was very good. Pectoralis muscle area on breast MRI could be useful to estimate muscle mass in women with breast cancer. Key Points: \u2022 Pectoralis muscle area can be estimated on breast MRI \u2022 Total psoas area on CT and pectoralis muscle area on MRI are strongly correlated \u2022 Pectoralis muscle area on breast MRI could estimate the skeletal muscle mass

Local recurrence of soft tissue sarcoma: a radiomic analysis

To perform a radiomics analysis in local recurrence (LR) surveillance of limb soft tissue sarcoma (STS