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When we run our fingers over the surface of an object, we acquire information about its microgeometry and material properties. Texture information is widely believed to be conveyed in spatial patterns of activation evoked across one of three populations of cutaneous mechanoreceptive afferents that innervate the fingertips. Here, we record the responses evoked in individual cutaneous afferents in Rhesus macaques as we scan a diverse set of natural textures across their fingertips using a custom-made rotating drum stimulator. We show that a spatial mechanism can only account for the processing of coarse textures. Information about most natural textures, however, is conveyed through precise temporal spiking patterns in afferent responses, driven by high-frequency skin vibrations elicited during scanning. Furthermore, these texture-specific spiking patterns predictably dilate or contract in time with changes in scanning speed; the systematic effect of speed on neuronal activity suggests that it can be reversed to achieve perceptual constancy across speeds. The proposed temporal coding mechanism involves converting the fine spatial structure of the surface into a temporal spiking pattern, shaped in part by the mechanical properties of the skin, and ascribes an additional function to vibration-sensitive mechanoreceptive afferents. This temporal mechanism complements the spatial one and greatly extends the range of tangible textures. We show that a combination of spatial and temporal mechanisms, mediated by all three populations of afferents, accounts for perceptual judgments of texture.

Because tactile perception relies on the response of large populations of receptors distributed across the skin, we seek to characterize how a mechanical deformation of the skin at one location affects the skin at another. To this end, we introduce a novel non-contact method to characterize the surface waves produced in the skin under a variety of stimulation conditions. Specifically, we deliver vibrations to the fingertip using a vibratory actuator and measure, using a laser Doppler vibrometer, the surface waves at different distances from the locus of stimulation. First, we show that a vibration applied to the fingertip travels at least the length of the finger and that the rate at which it decays is dependent on stimulus frequency. Furthermore, the resonant frequency of the skin matches the frequency at which a subpopulation of afferents, namely Pacinian afferents, is most sensitive. We show that this skin resonance can lead to a two-fold increase in the strength of the response of a simulated afferent population. Second, the rate at which vibrations propagate across the skin is dependent on the stimulus frequency and plateaus at 7 m/s. The resulting delay in neural activation across locations does not substantially blur the temporal patterning in simulated populations of afferents for frequencies less than 200 Hz, which has important implications about how vibratory frequency is encoded in the responses of somatosensory neurons. Third, we show that, despite the dependence of decay rate and propagation speed on frequency, the waveform of a complex vibration is well preserved as it travels across the skin. Our results suggest, then, that the propagation of surface waves promotes the encoding of spectrally complex vibrations as the entire neural population is exposed to essentially the same stimulus. We also discuss the implications of our results for biomechanical models of the skin.

Objective: To design clear guidelines for the staging and follow-up of patients with uterine cervical cancer, and to provide the radiologist with a framework for use in multidisciplinary conferences. Methods: Guidelines for uterine cervical cancer staging and follow-up were defined by the female imaging subcommittee of the ESUR (European Society of Urogenital Radiology) based on the expert consensus of imaging protocols of 11 leading institutions and a critical review of the literature. Results: The results indicated that high field Magnetic Resonance Imaging (MRI) should include at least two T2-weighted sequences in sagittal, axial oblique or coronal oblique orientation (short and long axis of the uterine cervix) of the pelvic content. Axial T1-weighted sequence is useful to detect suspicious pelvic and abdominal lymph nodes, and images from symphysis to the left renal vein are required. The intravenous administration of Gadolinium-chelates is optional but is often required for small lesions (<2 cm) and for follow-up after treatment. Diffusion-weighted sequences are optional but are recommended to help evaluate lymph nodes and to detect a residual lesion after chemoradiotherapy. Conclusions: Expert consensus and literature review lead to an optimized MRI protocol to stage uterine cervical cancer. MRI is the imaging modality of choice for preoperative staging and follow-up in patients with uterine cervical cancer.

Objectives To develop a consensus and provide updated recommendations on liver MR imaging and the clinical use of liver-specific contrast agents. Methods The European Society of Gastrointestinal and Abdominal Radiology (ESGAR) formed a multinational European panel of experts, selected on the basis of a literature review and their leadership in the field of liver MR imaging. A modified Delphi process was adopted to draft a list of statements. Descriptive and Cronbach’s statistics were used to rate levels of agreement and internal reliability of the consensus. Results Three Delphi rounds were conducted and 76 statements composed on MR technique (n = 17), clinical application of liver-specific contrast agents in benign, focal liver lesions (n = 7), malignant liver lesions in non-cirrhotic (n = 9) and in cirrhotic patients (n = 18), diffuse and vascular liver diseases (n = 12), and bile ducts (n = 13). The overall mean score of agreement was 4.84 (SD ±0.17). Full consensus was reached in 22 % of all statements in all working groups, with no full consensus reached on diffuse and vascular diseases. Conclusions The consensus provided updated recommendations on the methodology, and clinical indications, of MRI with liver specific contrast agents in the study of liver diseases. Key points • Liver - specific contrast agents are recommended in MRI of the liver . • The hepatobiliary phase improves the detection and characterization of hepatocellular lesions . • Liver - specific contrast agents can improve the detection of HCC .

ObjectivesTo assess the diagnostic performance of conventional and DW-MRI parameters in the detection of residual tumor in locally advanced cervical cancer (LACC) patients treated with neoadjuvant chemoradiotherapy (nCRT) and radical surgeryMethodsBetween October 2010 and June 2014, 88 patients with histologically documented cervical cancer (FIGO stage IB2–IVA) were prospectively included in the study. Maximum tumor diameters (maxTD), tumor volume (TV), DWI signal intensity (SI), and ADCmean were evaluated at MRI after nCRT. Histology was the reference standard. Treatment response was classified as complete (CR) or partial (PR). Comparisons were made with Mann-Whitney, χ2, and Fisher’s exact tests. ROC curves were generated for variables to evaluate diagnostic ability to predict PR and to determine the best cutoff value to predict PR. For each diagnostic test, sensitivity, specificity, and accuracy were calculated.ResultsTV and maxTD were significantly smaller in the CR than in the PR group (p < 0.001; p = 0.001) and showed, respectively, sensitivity of 68.8%, specificity of 72.5%, and accuracy of 70.5% and of 47.9, 87.5, and 65.9% in predicting PR. High DWI SI was more frequent in the PR (81.8%) than in the CR group (55.3%) (p < 0.009). ADCmean was higher in the CR (1.3 × 10-3 mm2/s, range 0.8–1.6 × 10-3 mm2/s) than in the PR group (1.1 × 10-3 mm2/s; range 0.7–1.8 × 10-3 mm2/s) (p < 0.018). High DWI SI showed sensitivity, specificity, and accuracy of 81.8, 44.7, and 64.6% in predicting PR. The ADCmean measurement increased sensitivity, specificity, and accuracy to 75.0, 76.2, and 75.4%.ConclusionsConventional and DW-MRI is useful for predicting PR after nCRT in LACC. The ADCmean value ≤ 1.1 × 10-3 mm2/s was the best cutoff to predict PR.Key Points• Conventional and DW-MRI is useful for predicting PR after nCRT in LACC.• The combination of T2 sequences, DW-MRI, and the quantitative measurement of ADCmeanshowed the best results in predicting pathological PR.• The best cutoff for predicting pathological PR was ADCmeanvalue ≤ 1.1 × 10-3 mm2/s.

The term “artificial intelligence” (AI) includes computational algorithms that can perform tasks considered typical of human intelligence, with partial to complete autonomy, to produce new beneficial outputs from specific inputs. The development of AI is largely based on the introduction of artificial neural networks (ANN) that allowed the introduction of the concepts of “computational learning models,” machine learning (ML) and deep learning (DL). AI applications appear promising for radiology scenarios potentially improving lesion detection, segmentation, and interpretation with a recent application also for interventional radiology (IR) practice, including the ability of AI to offer prognostic information to both patients and physicians about interventional oncology procedures. This article integrates evidence-reported literature and experience-based perceptions to assist not only residents and fellows who are training in interventional radiology but also practicing colleagues who are approaching to locoregional mini-invasive treatments.

ObjectivesTo analyse the role of DW-MRI in early prediction of pathologically-assessed residual disease in locally-advanced cervical cancer (LACC) treated with neoadjuvant chemoradiotherapy followed by radical surgery.MethodsBetween October 2010–June 2014, 108 women with histologically-proven cervical cancer were screened; 88 were included in this study. Tumour volume (TV) and ADCmean were measured before (baseline-MRI) and after 2 weeks of chemoradiotherapy (early-MRI). According to histopathology, treatment response was classified as complete (CR) or partial (PR). Comparisons were made with Mann-Whitney, Wilcoxon and χ2 tests. ROC curves were generated for statistically significant parameters on univariate analysis.ResultsCR and PR were documented in 40 and 48 patients. At baseline-MRI, TV did not differ between groups. At early-MRI, TV was higher in PR than in CR (p=0.001). ΔTV reduction after treatment was lower in PR than in CR (63.6% vs. 81.1%; p=0.001). At baseline-MRI and early-MRI, ADCmean did not differ between PR and CR. ROC curve showed best cut-off for predicting pathological PR was ΔTV reduction of 73% with sensitivity, specificity, accuracy, NPV, PPV of 73%, 72.5%, 72.7%, 76%, 69%.ConclusionsTV evaluated before and early after treatment could predict pathological response in LACC. ADCmean did not correlate with treatment outcome.Key Points• Early-MRI tumour volume assessment could predict pathological response to nCRT in LACC.• Best cut-off for predicting pathological PR was ΔTV reduction of 73 %.• Early-MRI ADCmeanmeasurements did not correlate with treatment outcome.

Purpose This paper aims to explore systematic strategies implemented at the School of Design, X University, to use materials more sustainably and responsibly in the design studios. Design/methodology/approach Printing and prototype fabrication are a vital facet of design education. These physical products which consume vast quantities of materials are key to evaluating ideas, and for training students to effectively communicate design intent to their professors and future clients. Despite the University’s initiatives for campus-wide sustainability efforts, waste generated from repeated design iteration is still a big problem in studio culture. Findings This effort between faculty, staff and students has initiated a sustained conversation about the excessive landfill waste generated by projects undertaken. Together, this paper aims to find ways in which the outcomes could be self-sustaining. Originality/value This research would be beneficial to anyone who plans to raise awareness and understanding of institutional waste management strategies at the university level.

ObjectivesUterine sarcomas are rare malignant tumors arising from the mesenchymal tissues of the uterus including the endometrial stroma, uterine muscle and connective tissue. The diagnosis of uterine sarcomas is a challenge and no validated clinical or radiological criteria can accurately distinguish benign from malignant myometrial tumors. In particular, data on the ultrasound features of uterine sarcomas are scarce and they are mainly based on retrospective case series.MethodsThis is a monocentric, prospective, observational cohort study. All patients with at least one myoma of 3 cm or more will be included in MYLUNAR study and will be assessed by Green Card criteria. If one of the Green Card criteria is present, a dedicated clinical and ultrasound paper form will be filled in to check the presence of the criteria described in the Orange Card. If at least two suspicious characteristics according to Orange Card criteria are present, Magnetic Resonance imaging will be performed and the patients will be submitted to surgery.ResultsIn this 1-year interim analysis, we analysed 816 patients who were selected by MYLUNAR study criteria. The ad-interim analysis is expected to be concluded in May 2019, and we will present the results at the meeting.ConclusionsThe discrimination between benign and malignant myometrial lesions is clinically relevant to plan the optimal management (surgery, interventional procedures, or medical treatment) and to define the most appropriate surgical approach. By defining an accurate diagnostic algorithm in identifying patients with uterine sarcomas, MYLUNAR study may represent the guide line in the management of women with myometrial lesion.