Helena Baecher1
Cosima C. Hoch2
Samuel Knoedler3,4,5Bhagvat J. Maheta6
Martin Kauke-Navarro3Ali-Farid Safi7,8Michael Alfertshofer9Leonard Knoedler1,3*- 1Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany
- 2Medical Faculty, Friedrich Schiller University Jena, Jena, Germany
- 3Division of Plastic Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, United States
- 4Division of Plastic Surgery, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- 5Department of Plastic Surgery and Hand Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- 6College of Medicine, California Northstate University, Elk Grove, CA, United States
- 7Craniologicum, Center for Cranio-Maxillo-Facial Surgery, Bern, Switzerland
- 8Faculty of Medicine, University of Bern, Bern, Switzerland
- 9Division of Hand, Plastic and Aesthetic Surgery, Ludwig-Maximilians-University Munich, Munich, Germany
Fibula free flaps (FFF) represent a working horse for different reconstructive scenarios in facial surgery. While FFF were initially established for mandible reconstruction, advancements in planning for microsurgical techniques have paved the way toward a broader spectrum of indications, including maxillary defects. Essential factors to improve patient outcomes following FFF include minimal donor site morbidity, adequate bone length, and dual blood supply. Yet, persisting clinical and translational challenges hamper the effectiveness of FFF. In the preoperative phase, virtual surgical planning and artificial intelligence tools carry untapped potential, while the intraoperative role of individualized surgical templates and bioprinted prostheses remains to be summarized. Further, the integration of novel flap monitoring technologies into postoperative patient management has been subject to translational and clinical research efforts. Overall, there is a paucity of studies condensing the body of knowledge on emerging technologies and techniques in FFF surgery. Herein, we aim to review current challenges and solution possibilities in FFF. This line of research may serve as a pocket guide on cutting-edge developments and facilitate future targeted research in FFF.
1. Introduction
Facial defects can be caused by neoplasms, infection, trauma, or congenital anomaly. Patients experience a variety of functional sequels such as malocclusion and loss of teeth, swallowing and speaking difficulties, and airway obstruction (1). Besides functional impairments, facial disfigurement per se, and the resulting social and psychological effects, represent an additional patient burden (2, 3).
Consequently, reconstruction of bony and soft tissue facial defects remains a persisting clinical challenge. Since its establishment in 1989, fibula free flap (FFF) became a reliable tool in the head and neck armamentarium representing the gold standard for the reconstruction of segmental defects of the mandible and maxilla (4). FFF unifies various clinical strengths such as low donor-site morbidity, bicortical bone structure, and reliable clinical outcomes. Currently, FFF is being used in over 45% of all mandible reconstruction cases, and has been gaining popularity (5, 6).
Typically, FFF is raised with a skin island, which enables composite-tissue reconstruction and visual flap monitoring at the same time (7). In the era of virtual surgical planning (VSP), artificial intelligence (AI), computer-aided design (CAD), computer-aided manufacturing (CAM), three-dimensional (3D) printing, and novel molecular investigations, the technique of FFF underwent a series of refinements. Consequently, each working step of FFF reconstruction, including preoperative diagnostics and procedure planning, intraoperative workflow optimization, and postoperative monitoring has been impacted as a result of advancements in the field. However, there is a paucity of studies condensing the latest advancements in FFF surgery. Herein, we aim to provide a panoramic overview of the most recent innovations in FFF reconstruction and summarize the most promising research findings. Ultimately, this line of research may help generate novel research ideas and guide the way toward translational trials and clinical use of cutting-edge technology for advancing FFF surgery.
2. Preoperative planning – how to optimize procedure planning?
2.1. Virtual surgical planning
In the early phase of FFF surgery, the fibula was shaped in freehand technique by the surgeon, using the patient’s contralateral anatomic site as a template in order to guide the osteotomies and plate placements. However, this freehand molding of the straight fibula bone into the 3D-curved mandible is challenging and failure in contouring the new mandible may cause malocclusion, mandible deformity, such as exorbitant gonial or mental projection, or torque on the condylar head. Further, mandibular dysfunction, as well as prosthetic failure can result from an unphysiological-shaped mandible. To overcome these hurdles the preplating technique was introduced. This method involves molding a reconstructive plate on the patient’s native mandible prior to bone resection, aiming to achieve an optimal mandibular shape (7–9). However, manual techniques of fibula modeling and positioning to achieve proper bone contact between the segments, as well as condylar placement, have proved to be imprecise or even unfeasible in cases of initially distorted or absent hemimandible due to trauma or pathology; although, there has been some evidence suggesting preplating may allow for appropriate condylar placement (10, 11). Therefore, the concept of VSP was introduced into the preoperative and perioperative workflow of mandibular reconstruction. By using digital surgical simulation and 3D stereolithographic models of the reconstructed mandible, VSP assists in preoperative planning. The concept of computer-generated imaging emerged in the 1990s (12, 13). As the technical possibilities, in particular 3D printing and CAD/CAM devices, have significantly developed over the last years, novel opportunities for intraoperative assistance tools have been proposed. For instance, the utilization of 3D-printed or CAD/CAM-constructed cutting guides for the mandible and fibula, along with patient-specific osteosynthesis plates (PSP), facilitate the shaping process and osteosynthesis of the fibula. Additionally, the inclusion of positioning templates and prepositioned screw holes in the fibula enhances the precision and efficiency of graft positioning.
VSP in combination with personalized CAD/CAM-produced devices was initially developed for saving time and assisting surgeons in mimicking the native mandibular morphology, Benefits of VSP in the setting of FFF reconstruction include: (i) decreased intraoperative time associated with reduced ischemic time of the FFF, (ii) improved accuracy of the reconstruction due to cutting guides and precalculated contact surfaces, (iii) enhanced cosmetic outcomes, (iv) preoperative simulation of postoperative results, reconstruction limitations, and possible complications, (v) presurgical visualization of patient-specific anatomical variations, (vi) clear margins at tumor resection (in cases of tumor resection before FFF reconstruction) (14–18). Among these, increased reconstruction accuracy and decreased intraoperative time proved to be the most significant benefits for enhancing patient outcomes (17, 19–22).
Most studies evaluated accuracy by comparing measurements of preoperative VSP and measurements of postoperative images, assessing the intercondylar distance and gonion angle. A meta-analysis from 2020 including six studies reported an increased accuracy of VSP compared to free-hand surgery. Moreover, the authors found a decreased total operation time of 291.8 min in VSP (vs. 457.6 min in free-hand) and ischemia time of 73.8 min in VSP (vs. 109.9 min in free-hand) (23). Another systemic review of 2019 including 13 studies, reported improved accuracy of VSP when compared to conventional FFF reconstruction techniques. Of note, two studies found no differences in preoperative and postoperative symmetry or functional outcomes (24, 25). Barr et al. described that the total operative time was reduced by 44.64 min in the VSP cohort (6). As operation time constitutes a crucial factor for patient safety and surgical outcome following FFF surgery, perioperative time saving is commonly considered an important surrogate parameter for enhanced patient outcomes (26, 27). Further, a more efficient flap shaping procedure may lead to increased free flap survival rates and overall reduced ischemic time (28, 29). Of note, overall operating time included surgical reconstruction time, as well as the amount of virtual planning time. Thus, saving operation time also strongly depends on the practical experience and skills of the surgeon performing the reconstruction (30). In cases of tumor resection before FFF reconstruction, VSP can help the surgeon understand the spatial relationship of the tumor to adjacent tissue and preserve valuable anatomic structures (e.g., branches of the facial and/or the trigeminal nerve) (14). Further, more individualized reconstructions with more frequent and complex osteotomies can be performed using CAD/CAM-supported VSP (31). Common disadvantages in VSP involve (i) additional costs of VSP equipment, (ii) delay of high-priority surgery due to extended preoperative planning time (15, 16, 32). The extensive costs of VSP in addition to the surgery itself result from expensive VSP software and CAD/CAM or 3D printing devices, outsourcing of working steps to an external digital laboratory, and engagement of specialized personnel (32, 33). To this end, in-house CAD/CAM workflow is considered an alternative to current outsourcing practices (34–36). Here, obtaining adequate funding and the current European Union Medical Device Regulation (EU MDR) as some of the biggest challenges in setting up an in-house 3D-printing core (35). However, once established, an in-house 3D-printing program may reduce costs with no differences in the accuracy of the reconstruction results (37).
2.2. The role of artificial intelligence in virtual surgical planning
To date, research efforts are underway to integrate AI into VSP for pattern detection and mean models. However, AI-designed mandibular grafts still play a minor role in everyday clinical work as the final design must be adjusted and refined by surgeons and engineers (38, 39). Although AI is still undergoing a constant process of improvement with increasing data processing capacities for machine learning (ML), AI is already used in preoperative segmentation of the skull CT. While manual segmentation is time-consuming and depends on the surgeon’s subjective setting of Hounsfield unit (HU) thresholds, AI allows for more objective and standardized reconstruction planning (40). Moreover, mandibular deformities caused by neoplasms or congenital anomalies can complicate the understanding and imaging of the patient’s mandibular morphology. In these cases, AI allows for capturing the key features and abnormalities of the mandible and generates authentic images of a typical mandible using generative adversarial networks (GANs) (41). However, the surgeon’s anatomical expertise remains a valuable skill to consider various anatomic key structures, such as the inferior alveolar nerve canal, teeth, condylar head, or glenoid fossa, during VSP. Further, metal artifacts in imaging, due to dental crowns, implants, or orthodontic appliances, can significantly increase the workload of image segmentation, therefore impacting surgical planning, and thus surgical outcomes (42). In this context, AI relies on refinements referring to dependable anatomical skills and image evaluation. Here, ML and deep learning (DL) allow AI to extract information from big data sets to autonomically develop AI’s capacities and enhance the use of AI in VSP (43). Clinical decision-making support (DCS) based on AI recommendations is an upcoming tool in radiology aiming to improve patient safety and value-based imaging (44). In this context, AI could play an important role in the detection and interpretation of incidental findings in radiologic imaging. AI, coupled with advancements in imaging, such as diffusion weighted MRI and radiomics, may lead to significant improvements in patient care, especially for tumor segmentation and perineural invasion, advancing the clinical impact on R0 resections. Further, DL-powered approaches for segmentation of imaging, particularly CT and MRI, were applied in other surgical and non-surgical specialties such as cardiology, neurosurgery, and oncology (45–47). In the field of maxillofacial surgery, current research efforts focus on training AI models in segmentation of the mandibular and maxillary bone, the mandibular canal, the mandibular condyle head, the maxillary sinus, native and treated teeth, as well as implants (48–50). To support accurate direct segmentation of high-resolution skull images regardless of limited graphics processing unit (GPU) memory, Verhelst et al. suggest a two-staged approach that combines one U-Net on a full-size low-resolution image with another U-Net segmenting high-resolution region of interests (51). While DL-supported mandibular segmentation is continuously advancing, technical enhancements in 3D imaging and anatomical accuracy are still required.
3. Intraoperative innovations – patient-specific osteosynthesis implants
3.1. Patient-specific topology-optimized osteosynthesis plates (TOPOS-implants)
Reconstruction plates are typically used in FFF reconstruction when increased stability is required due to a High load-bearing concept. In contrast to miniplates, adjusting reconstruction plates to the contour of the mandible seems to be more difficult due to higher volume and rigidity (11). Moreover, postoperative plate exposure persists as a common clinical challenge, which necessitates reoperation including plate removal and secondary reconstruction (5, 25, 52–54). Vice versa, miniplates are easily adjustable by the surgeon but are only indicated for load-sharing concepts due to their reduced material thickness (55–57). To improve clinical outcomes following FFF reconstruction and facilitate restoring the mandibular contour, VSP combined with patient-specific osteosynthesis plates have been introduced as a novel therapy concept. Along the preoperative planning process virtual osteosynthesis plates can be fitted and adapted to the surface of the bone segments. 3D-printing techniques allow for on-time fabrication of patient-specific osteosynthesis implants. Thus, this approach results in reduced surgery time and costs, high accuracy levels, and reduction of postoperative complications (58–60). Although the utilization of patient-specific osteosynthesis implants may be expensive, they will reduce operating room time and postoperative complications, and thus, reduce overall healthcare costs for patients and the healthcare system. Current strategies to further improve patient-specific implant (PSI) application in FFF reconstruction describe a novel technique which uses a powerful mathematical tool, called topology optimization (61–63). The generation of an ideal structural design based on preset loading capacities, allows for decreased volume, optimized mechanics, and modular exchangeability of such TOPOS-implants. Thus, TOPOS-implants unify the advantages of reconstruction plates and miniplates by using the material distribution method for topology optimization. The distributed loading of the fixation screws leads to stress shielding and prevents overloading of the screws. A reduced contact area between TOPOS-implant and bone improves the healing capacities due to the reduced periost irritation. Further, the geometric form of the implants also functions as a positioning guide for the bony segments (62). To this end, TOPOS implants represent a high-yield intraoperative approach, exploiting modern technologies and bioengineering concepts with the goal of time and cost efficiency in FFF surgery (64–66). However, topology optimization for designing osteosynthesis plates in maxillofacial surgery have only been described in low-number case series or case reports (67–69). Together with the fact that current research work is limited to biomechanical and cadaveric study designs, further studies are warranted before implementing this approach into the clinical workflow.
3.2. How to bypass the need for double-barrel technique? – patient-specific plate
One of the main limitations of FFF reconstruction is the vertical height of the fibula. The fibula, harvested as a single barrel bone, does not exhibit a sufficient diameter to restore the height of the native mandible. This implicates lowered positions of postoperative-inserted implants, and challenges in occlusion, prosthetics, and implantation, while maintaining a better esthetic outcome; on the other hand, higher positions postoperative-inserted implants allow for adequate position of implants and maintenance, but is associated with poorer esthetic outcomes (70, 71). Delayed onlay bone graft, iliac bone reconstruction, fibula distraction, and double-barrel fibula flap graft have been under investigation to address the height issue. Additionally, patient-specific implants (PSI) can be used to reconstruct the original height of the mandible for more extensive defects, such as lower mandibular borders (70). Given the high postoperative predictability, reliable implant outcomes, and conceptualization as a one-stage procedure, double barrel reconstruction is considered the surgical procedure of choice for vertical augmentation in FFF reconstruction, especially for anterior segment reconstruction (18, 72, 73). The morbidity in these procedures is related to the amount of bone left proximally and distally, therefore, it is not advisable to reconstruct defects longer than 10 cm using the double barrel approach (which would require a graft length of about 24 cm), since it may increase the risk for high donor site morbidity (73–76). To overcome the limitation of vertical height in FFF and bypass the downsides of the double barrel approach, a novel technique using 3D-printed PSI has been introduced recently. By modifying the design of a titanium PSI, the plate was intended to support the FFF at an alveolar bone level above the typical inferior mandibular border. A considerable advantage of this technique was the occlusion-derived design of PSI and FFF (i.e., preoperative simulation of an ideal occlusion in terms of VSP). In cases with unilateral edentulous areas, the teeth on the healthy side were mirrored on the defective side to simulate physiological occlusion. If both arches were edentulous, a radiographic guide, including radiopaque teeth, could be used during CT examination to visualize teeth in their maxillomandibular relationship. For patients undergoing these procedures, dentists and maxillofacial surgeons assess occlusion height and determine optimal teeth position, and the FFF is positioned to optimize implant position and maintenance. The PSI plate was constructed with a containing deck to support the bony FFF in a higher position and equally distribute occlusal loading onto the bone screws and the PSI. This can also be used for esthetic purposes, while using miniplates for the fibula. In this study, the PSI-based approach could completely restore the mandibular contour of the inferior border and allowed the surgeon to position bony segments on the alveolar level. It is also possible to pre-plan and include simultaneous implants and immediate placement of dentures. Achieving a more esthetic and feasible contour of the mandible along with better prognosis for prosthetic rehabilitation, this novel technique represented a promising next step in PSI reconstruction. Of note, there were no statistical differences in mechanical properties between 3D-printed titanium plates and conventional surgical plates used in mandibular reconstruction (77). However, disadvantages of this approach were the cost itself, time to conduct surgery, paucity of data about ideal design of the implant, and the risk of exposure, especially after radiotherapy in an oncologic setting (70, 71). Given these limitations, further studies are needed to determine the clinical impact of this concept.
4. Back to the future? – augmented reality and bioprinting strategies
4.1. Virtual reality and augmented reality
VR is defined as the digitization of objects and environments. To interact with the virtual surgical environment handheld controllers and devices with haptic feedback are used. Currently, VR is applied in preoperative anatomical assessment, VSP, and intraoperative navigation. AR allows projection of 3D objects on the user’s eyesight to create a superimposition of digital content to the real field of view. Thus, additive information about anatomic visualization, preoperative planning, and measurements in the form of holograms can be projected into the surgeon’s operation field (78). This technology was recently adapted by Microsoft® with the “hololens” concept, which allows interactions with the holograms due to cutting-edge hand-motion-recognizing technology (79). Contrary to image-guided navigation and VR, AR renders the need to look outside of the operation field obsolete (80). Consequently, surgical efficiency, assurance of sterility, and immediate data access are supported when using AR. Notably, the intraoperative use of AR devices can also facilitate detailed surgery documentation and assist in legal issues. So far, AR-enhanced surgeries have reached robust levels of accuracy, while showing high rates of preserving critical anatomical structures (81, 82). Although AR has mainly been used in neurosurgery, orthognathic surgery, and facial deformity repairs, previous studies point toward promising results in mandibular reconstruction (especially in complex mandibular reconstructions cases) too (83–89).
Yet, the following limitations delay AR implementation into the FFF reconstruction workflow: The vergence-accommodation conflict is caused by different points of focus and vergence. This phenomenon is due to AR displays being featured by a fixed focal distance, while the ocular point of focusing and verging remain the same (90, 91). Further, errors during the registration and tracking processes of the AR device may lead to misalignments of the virtual objects with the real-life surgery site (92, 93).
4.2. Recent advancements in 3D printing
The technology of 3D printing enables the fast-track translation of CAD data into physical 3D models (94). In contrast to CAD/CAM, 3D printing defines various methods of building-up objects in a layer-by-layer fashion (i.e., additive manufacturing). Several methods of 3D printing are currently available, including (i) vat photopolymerization, (ii) powder bed fusion, (iii) material jetting, (iv) material extrusion (v) directed energy deposition, (vii) binder jetting, and (viii) sheet lamination (95, 96). Powder bed fusion, more specifically selective laser melting/sintering (SLM/SLS), is mainly used for constructing titanium PSI in maxillofacial surgery (65, 97, 98). Typically, a stereolithographic resin model/mold is 3D-printed to construct a rapid and reliable prototype. Upon this prototype, the definitive titanium osteosynthesis plate can be flexed, pressed, or molded preoperatively, and most notably, controlled against the stereolithographic model (98). For assisting in surgical planning and checking the fitting accuracy of the PSI preoperatively a polyamide 3D anatomic model of the remaining mandible can be fabricated by means of 3D printing (i.e., SLS) (99). Recent studies and case reports reported high accuracy levels and patient satisfaction following 3D-printed PSI, rendering 3D printing a valuable tool in up-to-date FFF reconstruction (100–102). Furthermore, current locking systems in 3-D printing are milled or printed, which has been shown to be highly accurate and may minimize the need for manual adjustments during the surgery. In addition, in maxillary reconstruction, 3-D printing of Titanium subperiosteal implants has shown improved long term outcomes for patients (103). There is ongoing debate about what material is the most effective bone anchored implant, however, current evidence suggests that both commercially pure titanium (cp-Ti) and titanium alloy (Ti6Al4V) are effective, and there is no clear difference between the two materials (104). 3-D printing has also moved toward utilization of poly ether-ether-ketone (PEEK) and cellular calcium hydroxyapatite (CHAp), which have extraordinary strength and function similar to biological materials, making them an exciting area of growth within this field (105). Advancements have also been shown with resorbable material, such as Magnesium, especially for procedures related to bone tissue repair (106). Finally, research is advancing in harnessing good manufacturing practice level autologous adipose stem cells for maxillary reconstruction (107).
4.3. Recent advancements in bioprinting
Bioprinting represents a novel technology, which emerged from the available 3D printing. The concept of integrating living cellular biomaterials into a controlled layer-by-layer deposition allows for the creation of complex, heterogenous tissues with maintained cellular viability (108). Similar to conventional 3D printing strategies, bioprinting is based on data derived from 3D imaging, such as computerized tomography (CT) and magnetic resonance imaging (MRI), translated into CAD files. While there are various bioprinting methods, including inkjet 3D bioprinting, micro-extrusion 3D bioprinting, laser-assisted 3D bioprinting, and stereo-lithography, all approaches rely on a combination of printing biomaterials (i.e., a composition of cells, gels, and growth factors, referred to as bioink), scaffold, and other additive factors (109). Playing a key role in the development of 3D bioprinting, optimizing the composition and texture of bioink represents the pivotal step to bridge the gap from bench to bedside. To organize the cells contained in the bioink biocompatible scaffolds are commonly used as structural support, where cells can adhere, proliferate, and differentiate. The scaffold further includes a plethora of bioactive agents (e.g., interleukins), which stimulate cell growth and proliferation. Cell viability and vascularization are supported by the porous structure of the scaffold (110). While current research is still perplexed by the formation of organic tissue embryonic development, this insight into the embryonic maturation process could represent a promising alternative to using scaffolds for cell organization (111).
Various tissue components have to come from elsewhere in composite FFF transplants: (i) mandibular bone, (ii) temporomandibular joint, (iii) oral mucosa (iv) dentition, and (v) the inferior alveolar nerve. The reconstructed mandibula should resist life-long mastication stress, permanent contractile tension from adjacent facial soft tissue, and the microbiome of the oral cavity. Therefore, bioprinted tissue for mandibular reconstruction must be designed in compliance with mechanical strength, infection resistance, and facial esthetics (112–114). The main components of the mandibular bone are inorganic elements (i.e., hydroxyapatite (HA)), ensuring rigidity, and organic, resilience-ensuring elements (i.e., collagen) (115). Analogically, various scaffold materials have been studied for their inorganic-element-like structure, such as bioceramics of calcium phosphate components (e.g., α-tricalcium phosphate, β-TCP, and HA), synthetic biopolymers (e.g., polycaprolactone, polylactic acid, polylactic glycolic acid, polyethylene glycol), and natural polymers of chitosan, (116–119). Three types of stem cells can be used for mandibular reconstruction: adult stem cells (ASC), embryonic stem cells, and induced pluripotential stem cells (iPSC). Interestingly, mesenchymal stem cells (MSC) obtained from craniofacial bones display a dissenting genetic and histological profile compared to MSC stemming from long bones (114). Further, craniofacial MSC show impaired properties of proliferation and regeneration vs. increased levels of compact bone and alkaline phosphatase (120–123). Currently, there is a mounting body of research investigating further sources of MSC, such as dental pulp, periodontal ligaments, developing teeth, and gingival tissues. For instance, a clinical phase I trial reported promising results in maxillary alveolar cleft reconstruction using deciduous pulp MSC (124). Additional ongoing clinical trials investigate the regenerative potential of gingival fibroblast MSC and dental MSC for tissue engineering (125, 126). Bioactive molecules, such as VEGF, BMP, FGF, and IGF-1 stimulate the angiogenesis and the osteogenic differentiation when incorporated into the bioink (127). Of note, the reconstruction process of a mandibular defect with bioprinting procedures is highly individualizable as the bioprinted graft can be customized to anatomic structures and include a wide composition of biomaterials (128). After uploading 3D image modalities, such as CT, MRT, or PET-CT, onto an on-demand platform, VSP is performed on a multidisciplinary background. At this stage, feasible compositions and configurations of scaffold, cells, and bioactive molecules must be determined. For optimized intraoperative controlled positioning a surgical guide should be designed simultaneously to bioprinting the mandibula. After confirming the final draft, the neo-mandible can be printed in multiple cartridge manners (i.e., integrated tissue and organ printing (ITOP)), transported to the operating room, and finally inserted into the mandibular defect (114). Overall, bioprinted grafts can lower donor site morbidity, reduce operation time, and make graft shaping less sophisticated. Recently, numerous studies have investigated how to optimize both the bioprinting technology and bioink formulas to enhance tissue properties, such as stability and robustness (129–131). However, there is a scarcity of clinical experience on safety and outcomes of bioprinted tissues in maxillofacial reconstruction. Besides a limited number of case reports discussing this technology for the urethra, trachea, and blood vasculature, bioprinted tissue has not been frequently transplanted into human individuals (132). Moreover, there are no clinical trials listed at ClinicalTrails.gov, except for one study investigating the safety and efficacy of traumatic bone defects treated with a 3D tissue-engineered bone equivalent (3D-TEBE) (133). Although the technology of bioprinting still needs to bridge the translational gap for routine clinical use, 3D printed composite tissue is likely to become a versatile tool for maxillofacial, plastic, and head and neck reconstructive surgeons (134). Future perspectives of augmented/virtual reality, as well as 3D- and bioprinting are illustrated in Figure 1.
Figure 1. Future perspectives of virtual /augmented reality, three-dimensional (3D), and bioprinting.
5. Progress in the postoperative period – the advent of modern free flap monitoring
5.1. Man vs. machine – novel techniques of flap monitoring
Postoperative complications after FFF reconstruction may occur in about 28–36% of cases. Donor site morbidity is a relatively rare major complication compared to other flap harvest sites, making FFF the gold standard currently, however, there is still risk of other minor complications such as infection, necrosis, fistula, and flap loss (135, 136). Risk factors for postoperative complications include prolonged ischemic times, comorbidities, alcohol withdrawal, smoking, postoperative radiotherapy, and (pre)prosthetic surgery (132, 133). While vascular adverse events typically manifests within 72 h after surgery (i.e., the timeframe during which the anastomosed vessels commonly reepithelialize), inpatient monitoring represents the most powerful tool in flap failure prevention (134). In many cases, a bone reconstruction may be preferred over a 3-D printed load-bearing plate to decrease the risk of plate exposure and for the ability to insert implants followed with dental restoration and regaining masticatory function. In maxillofacial procedures specifically, VSP allows surgeons to perform more accurate reconstructions, allowing dental rehabilitation, and even immediate loading. In case of a skin paddle, the gold standard of flap monitoring comprises clinical examination (i.e., assessing parameters of skin color, temperature, tissue turgor, and capillary refill) and handheld acoustic doppler sonography (ADS) (137, 138). Yet, clinical examination is largely subjective. Therefore, experience and expertise in interpreting the variety of warning symptoms for flap failure are crucial. Further, the specific light source used to inspect the FFF and dark skin tone represent additional pitfalls when evaluating FFF failure (137, 139, 140). Monitoring of buried FFFs is even more challenging as there is no direct access postoperatively to the bony segment and the use of ADS is commonly limited to superficial vessels (141). To overcome such obstacles novel strategies in postoperative free flap monitoring were developed, namely (i) color duplex ultrasonography (CDS), (ii) flow coupler (FC), (iii) implantable doppler (ID), (iv) laser doppler flowmetry (LDF), (v) near-infrared spectroscopy (NIRS), and (vi) hyperspectral imaging (HSI). However, none of these techniques has been established for postoperative FFF management (137). However, several studies underlined the clinical value of CDS as a reliable monitoring instrument, which allows for safe and non-invasive postoperative assessment of buried flaps and vascularized free bone flaps (142, 143). The FC and ID technique are inserted intraoperatively to ensure continuous postoperative monitoring of venous outflow. While ID devices include an external Doppler console and an ultrasonic probe attached to a silicone sheet, which is wrapped around the venous pedicle, FC is not linked to any additional silicone sheet carrying the risk of dislodging. While both FC and ID represent promising tools for monitoring deeply buried flaps allowing for prompt intervention, the high false positive rates of up to 17% slows down their clinical implementation (141, 144, 145). In contrast, LDF, NIRS, and HSI represent non-invasive monitoring alternatives with poor cost-efficiency (146, 147). Currently, there are further promising monitoring techniques underway, which remain to be extensively employed in a clinical setting. For example, the Beckman Laser Institute developed the modulated imaging (MI) tool, a device for detecting changes in a flap appearance due to arterial or venous occlusion, fat necrosis, or flap atrophy. One main advantage of this technique is the early detection of venous occlusion, even before manifestation of other clinical symptoms (148). Further, there are two ongoing studies, evaluating the monitoring of bony free flaps with means of metabolite detection in the interstitial liquid (i.e., microdialysis) (149, 150). Decreased glucose and pyruvate levels vs. increased lactate levels following anaerobic metabolism indicate an impairment of tissue perfusion (e.g., due to ischemia). By placing a microdialysis catheter directly in the bone tissue, the glucose-to-lactate ratio can be determined in bony free flap (151). Since recent studies have proposed optimal positioning sites of the catheter in the surrounding soft tissue, this technique provides more accurate reflection of bone vascularization and represents a promising tool for FFF observation (152, 153). However, further studies are required to identify concrete cut-off values of metabolites in bone tissue (154). Postoperative outcomes, ranging from esthetic outcome to recovery time, have significantly improved as a result of the accuracy of VSP and improvements in surgical planning overall (6, 11, 17, 155, 156).
5.2. Artificial intelligence-supported monitoring
While the aforementioned techniques are operator-dependent and subjective, AI is a promising aid in standardizing flap observation and interpretation of continuous flap monitoring (157). Recent literature describes increasing effort in supervising ML tools for postoperative free flap monitoring. Reporting accuracy rates of up to 98.4% AI-supported monitoring tools proved to be time-effective and overcome shortage of specialty-trained clinic staff (158). Moreover, using AI in flap monitoring allows for outsourcing flap assessment from an inpatient setting to home examination. Thus, flap monitoring could be expanded beyond the inpatient period and, vice versa, inpatient time could be shortened, leading to a saving of clinical staff and costs. Notably, the first smartphone application for such microsurgery monitoring was developed back in 2014. Here, varying degrees of pressure were applied around the index finger to produce partial and complete occlusion, which were analyzed by AI based on photographs (159). Another recently developed smartphone-based free flap monitoring tool was described by Provenzano et al., who use ML to develop and validate the assessment model (160, 161). For this purpose, patient data covering various scales of the Fitzpatrick skin type spectrum were utilized to simulate arterial and venous occlusion using a blood pressure tourniquet. Subsequently, a simplistic pattern recognition algorithm was developed to predict arterial or venous occlusion (161). Despite the accuracy and simplicity of utilizing smartphone applications, the EU MDR considers any smartphone application for such purposes as a medical device, making it difficult to get access to such applications. Although AI-supported monitoring tools represent a convenient, economical, and accurate strategy, larger-scale randomized controlled trials are warranted to investigate the clinical implementation of ML devices (162–164). Figure 2 compares novel postoperative monitoring tools to conventional monitoring techniques (Table 1).
Figure 2. Novel approaches in postoperative monitoring vs. the current gold standard.
Table 1. Strengths and limitations of different pre- and intraoperative innovations for fibula free flap surgery.
6. Conclusion
FFF is based on an intriguing concept that combines anatomical and clinical strengths resulting in reliable patient outcomes. While FFF has emerged as a high-volume working horse in facial reconstructive surgery, recent advancements in perioperative technologies have paved the way toward innovative and novel concepts for advancing FFF. This review is the to date largest effort to condense the current knowledge of clinical and translational challenges in FFF surgery research and discuss potential solution possibilities. Overall, the integration of cutting-edge technologies into the perioperative workflow of FFF surgery demonstrates promising preliminary results, while carrying untapped potential at the same time. This line of research may guide future research efforts and catalyze the implementation of modern technologies into FFF surgery.
Author contributions
HB, MA, and LK: conceptualization and writing – original draft. A-FS, MA, and LK: methodology and supervision. HB, CH, SK, and MK-N: investigation. CH, SK, MK-N, A-FS, and BM: writing – review and editing. All authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Keywords: fibula free flap, mandibular reconstruction, artificial intelligence, 3D printing, computer-aided design, CAM, bioprinting
Citation: Baecher H, Hoch CC, Knoedler S, Maheta BJ, Kauke-Navarro M, Safi A-F, Alfertshofer M and Knoedler L (2023) From bench to bedside – current clinical and translational challenges in fibula free flap reconstruction. Front. Med. 10:1246690. doi: 10.3389/fmed.2023.1246690
Edited by:
Ziyad S. Haidar, University of the Andes, ChileReviewed by:
Michel Bila, University Hospitals Leuven, BelgiumMarius Bredell, Marius Bredell, Switzerland
Copyright © 2023 Baecher, Hoch, Knoedler, Maheta, Kauke-Navarro, Safi, Alfertshofer and Knoedler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Leonard Knoedler, Leonard.Knoedler@ukr.de