IRCCS Rizzoli Ortopedic Institute
Bologna, 40136, Italy
NCT Number: NCT07571512
In orthopedic surgical practice, there is an increasing incidence of degenerative joint diseases, due to the rising average age of the population, as well as ligament injuries resulting from the growing participation in sports activities. The knee joint, in particular, is the most affected by these conditions, which, given their heterogeneous nature, impact patients across a wide age range.
Knee pathologies, often interconnected (with a higher incidence of degenerative diseases following ligamentous and/or meniscal injuries), are particularly debilitating for patients and entail high costs for the national healthcare system, which are expected to increase over time.
Scientific efforts in the field of knee surgery are therefore focused on achieving an increasingly detailed understanding of pathological conditions, as well as on the development of innovative technologies to support surgical and clinical practice.
Carrying out such analyses and developing new technologies inevitably involves experimental laboratory studies of joint tissues. The study of waste material obtained from surgical procedures represents a fundamental resource in this context and has always been used safely, with no additional invasiveness for the patient. A vast amount of information derived from laboratory analyses of discarded tissue has contributed to improving clinical practice and has led to the development of solutions that are now part of routine surgical use.
Recent technologies allow increasingly accurate evaluation of both the structure and mechanical properties of discarded tissue explanted during surgery. For example, structural assessment using micro-CT enables visualization and analysis of the interface between bone tissue, ligamentous structures, and surgical implants with micrometric precision. This makes it possible to determine tissue density, orientation, and material quality, distinguishing between different boundary conditions and physiopathological states of the tissues. Such analyses can also be performed under conditions close to those characterizing the joint in vivo, both in terms of tissue immersed in fluid and with respect to mechanical loads applied to deform the tissue. Furthermore, it is possible to reconstruct the structural interaction between human tissue and external materials used in surgery, such as screws, plates, anchoring devices, etc.
These instruments therefore make it possible to surpass the level of detail achievable with conventional diagnostic and research equipment used over the years, and to investigate with increasing accuracy the onset and progression of a pathology, the condition of the involved tissues, and to predict functional recovery of the treated site following the application of anchoring devices in the operating room. These new analyses also enable the study of innovative solutions for tissue repair and reconstruction, such as patient-specific customized devices and/or new materials produced using 3D printing technology, without posing any risk to the patient during surgery.
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Notify Me18 year–85 year
All sexes
Observational
Bologna, 40136, Italy
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: At least 24 months
Porosity of the subchondral bone tissue
Time frame: At least 24 months
Load transfer mechanisms from the residual cartilage tissue to the underlying bone tissue. Load transfer from the residual cartilage to the subchondral bone can be represented by the stress (Pa) developed in the underlying bone
Time frame: At least 24 months
Tissue density at the anterior cruciate ligament insertion will be quantified using micro-computed tomography and expressed as bone mineral density (mg HA/cm³).
Time frame: At least 24 months
Tissue orientation and homogeneity at the ligament insertion will be evaluated using histological and histomorphometric analysis and expressed using quantitative indices (e.g., orientation index, % area uniformity).
Stefano Zaffagnini
Other
Acronym: TIB PLAT
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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