This retrospective cohort study aims to describe characteristics of patients with MRONJ, to identify factors associated with MRONJ development, and to examine variables associated with favourable outcome. Totally 32 patients were followed and observed: 21 females and 11 males, in the age range 35-84 in the period from 2009 to 2018. Clinical, radiological examination (Orthopantomograph and CBCT) and biopsy were performed in order to achieve diagnosis. Demographic and clinical variables were taken into consideration: sex, age, primary disease, medication type, mode of delivery, anatomic location, drug treatment duration, timing of tooth extraction, chemotherapy, presence of bone metastasis, aetiology of MRONJ, disease stage, and treatment modality. MRONJ developed under osteoporosis and malignant disease in 11 and 21 patients, respectively. MRONJ development was triggered by tooth extraction or trauma in 30 out of 32 cases, whereas the two patients developed MRONJ spontaneously. Stages I, II, and III were confirmed in 5 (16%), 18 (58%), and 9 (28%) patients, respectively. Mandible was affected in 23 (72%) patients. MRONJ was treated in our department by conservative and surgical modality. In this study we found that 65% of all patients were classified in the cured/improvement group and 35% in the stable/progression group. The female gender, osteoporosis as primary disease, oral regime intake, shorter period on BPs, earlier stage of disease, and specific anatomic localisation (frontal and premolar maxilla) were factors associated with better response to therapy and favourable clinical outcome. Comprehensive treatment protocol and further randomized studies are necessary for further improvements.

In adult organisms, deregulation of the sonic hedgehog (SHH) signaling pathway is significantly correlated with different malignancies. Currently, data associating genetic polymorphisms in the SHH pathway with melanoma are scarce and largely unknown. The objective of our study was to elucidate an association between gene polymorphisms in the SHH pathway and prognosis of melanoma skin cancer patients. The current study investigated the association of PTCH1 (rs357564), SMO (rs2228617) and GLI1 (rs2228224, rs2228226), polymorphisms with melanoma predisposition and prognosis. Single-nucleotide polymorphisms were assessed by TaqMan SNP Genotyping Assays. The study involved 93 melanoma patients and 97 individuals in the control group. Melanoma patients with the variant mutant genotype GG of GLI1 rs2228226 polymorphism had poorer overall survival and recurrence-free survival (P = 0.0001 and P = 0.037, respectively). The multivariate analysis revealed that disease progression [hazard ratio (HR) = 14.434, P = 0.0001] and the GLI1 rs2228226 polymorphism (HR = 4.161, P = 0.006) persisted as independent prognostic factors. Mutated allele carriers (combined heterozygous and mutated genotypes) for GLI1 rs2228224 G and GLI1 rs2228226 G allele significantly increased melanoma risk [odds ratio (OR) = 2.261, P = 0.007; OR = 2.176, P = 0.010]. Our study demonstrated that genetic variants in GLI1, downstream member of the HH signaling pathway, are the risk factors for melanoma susceptibility and it can be a novel marker for melanoma prognosis. As a crucial SHH signaling member, GLI1 can also be regarded as a novel drug target for anti-cancer treatment in melanoma.

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This chapter presents the conceptual framework of humanoid robot application in the field of non-invasive medical diagnostics based on interactive ultrasound scanning and spatial visualisation of sonograms. Humanoid robots appear in this context as intelligent assistants which enable acquisition of 3D sonograms using the conventional ultrasound probe for 2D manual scanning through collaborative work with humans-slave mode, or through machine precision execution of the kinematic motion primitives-autonomous mode. In this way a qualitatively new technology can be created, opening the door for the development and application of new ultrasound examination techniques, which a sonographer cannot apply through conventional approaches based on free-hand 2D scanning. From the engineering aspect, the key technological step forward is the development of an anthropomorphic robotic humanoid which will enable safe and collaborative work (Co-X robotics) in a complex physical and cognitive sonographer-robot-patient interaction.