Giulia Ciciarelli

Dr. Giulia Ciciarelli

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2024 in Methods and Protocols
Verified
Journal Article
Open access
PDF file
DTDiana Torge
Diana Torge
Sara BernardiSara Bernardi
Sara Bernardi
GCGiulia Ciciarelli
Giulia Ciciarelli
GMGuido Macchiarelli
Guido Macchiarelli
SBSerena Bianchi
Serena Bianchi
The present study aims to provide a specific protocol for transmission electron microscopy of a sample of skin of rainbow trout affected by red mark syndrome (RMS). The red mark syndrome is a skin disease that affects the rainbow trout (Oncorhynchus mykiss). The disease, probably due to the Midichloria-like organism infection, is not lethal, but morbidity can reach up to 60%, leading to significant economic impact associated with the downgrading of the commercial product, increased labor, and susceptibility to secondary infections. The ultrastructure analyses allowed an earlier study to identify the presence of scattered microorganisms characterized by an oval shape, mainly in the cytoplasm of the cells. The protocol developed in this study will be instrumental in visualizing the ultrastructure of the microorganism, which is probably responsible for red mark syndrome infection.

18 November 2025 in Oral
Verified
Journal Article
Open access
PDF file
AGAlberto Gasbarri
Alberto Gasbarri
SRSofia Rastelli
Sofia Rastelli
GCGiulia Caporro
Giulia Caporro
GCGiulia Ciciarelli
Giulia Ciciarelli
MAMauro Arcangeli
Mauro Arcangeli
Maurizio D'AmarioMaurizio D'Amario
Maurizio D'Amario
Background and Objectives: Stereolithography (SLA) enables the creation of physical replicas of digital models, offering surgeons a realistic representation of patient anatomy. This technology improves diagnostics and surgical planning, facilitates communication within the medical team, and enhances the doctor–patient relationship by promoting compliance. This study aims to place the intervention addressed in a broader context and highlight the utility of SLA models in complex surgical scenarios. Case Presentation: The study presents two cases of patients with severe maxillary atrophy: a 67-year-old healthy male (with well-controlled hypertension) and a 72-year-old female patient (with hypercholesterolemia). Intervention and Outcome: Zygomatic implant procedures with immediate loading were performed to resolve the bone atrophy in both cases. These procedures heavily leveraged preoperative planning using stereolithographic models. Both interventions resulted in a positive outcome, which was confirmed at the 6-month follow-up. Conclusions: The integration of stereolithographic models into the preoperative planning process improved the prognosis of these complex cases, confirming their value in managing severe maxillary atrophy.

15 June 2026 in Dentistry Journal
Verified
Journal Article
Open access
PDF file
AGAlberto Gasbarri
Alberto Gasbarri
GCGiulia Caporro
Giulia Caporro
ACAntonio Capogreco
Antonio Capogreco
Maurizio D'AmarioMaurizio D'Amario
Maurizio D'Amario
GCGiulia Ciciarelli
Giulia Ciciarelli
FGFilippo Giovannetti
Filippo Giovannetti
Background: Severe jaw atrophy (Cawood and Howell Class V–VI) often renders conventional endosseous implantation unfeasible due to the lack of medullary bone and vascularization. This study presents a digital workflow for customized subperiosteal implants designed to eliminate bone segmentation errors and ensure optimal passive fit. Methods: Two clinical cases of severe atrophy—a full-arch maxillary rehabilitation and a unilateral partial rehabilitation—were treated using a prosthetic-driven CAD/CAM workflow. Key innovations included densitometric mapping using Hounsfield Units (HU) to identify high-mineralization zones (+1200 to +1800 HU) for strategic screw fixation. Intraoperatively, cobalt–chrome osteoplasty guides and PMMA check-templates were utilized to validate bone segmentation accuracy in vivo and regularize the cortical base. Results: The protocol achieved high precision with a monitored alignment deviation of 0.2 mm. At the 2-year follow-up, clinical and radiographic evaluations (CBCT) confirmed the total absence of gaps at the bone–implant interface. No signs of peri-implantitis, osteolysis, or progressive bone loss were observed, and soft tissues remained stable and healthy. Discussion: Success was driven by the rigorous management of the bone–implant interface and the use of preparatory surgical devices to bridge the gap between digital planning and surgical reality. The mechanical stability achieved through divergent fixation vectors prevented stress shielding by converting shear forces into compression, stimulating basal bone density according to Wolff’s Law. Conclusions: The standardized digital workflow and the use of preparatory surgical devices in this preliminary study showed that complex rehabilitations can be performed with favorable short-term outcomes. While this approach reduces surgical time and biological stress, further prospective studies are required to confirm its clinical predictability and define next-generation subperiosteal implants as a valid alternative for the management of severely atrophic cases.