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Robot-assisted total knee arthroplasty (TKA) with functional alignment enables precise bone cuts and soft-tissue preservation; however, array placement often requires additional or extended incisions, which may increase surgical invasiveness. To address these limitations, we developed the Minimal-Incision and Minimal-Soft-Tissue-Injury (MISI) technique, combining robotic precision with true minimally invasive principles. The MISI technique utilizes an approximately 10-cm midline incision with a mini-medial parapatellar approach. It allows secure array fixation through the primary incision while applying functional alignment principles to preserve the soft-tissue envelope. Femoral pins are inserted intra-incisionally, and tibial fixation employs a hybrid approach: one intra-incisional pin and a second pin placed through a 5-mm stab incision to reduce skin tension, particularly in flexion. Bone registration and intraoperative planning are performed using the MAKO robotic system within a functional alignment philosophy. All bone cuts are performed using a mobile window technique at 90° flexion, except for the anterior chamfer cut, which is carried out at 120° flexion to allow adequate clearance between the saw blade and the tibial array. This technique was performed in 82 patients, through which we achieved encouraging early wound healing and high patient satisfaction. The MISI technique offers a reproducible, incision-sparing approach to minimize soft-tissue trauma in robotic TKA. Prospective studies evaluating complication rates, recovery, and patient-reported outcomes are warranted to validate its clinical benefits and determine optimal patient selection.

Strategic hospice staffing is essential to optimize patient care and strengthen workforce performance and retention, particularly as aging populations and rising rates of life-limiting illnesses increase the demand for end-of-life care. Despite growing recognition of staffing challenges in hospice care, there is limited synthesis of evidence on effective models and practices that support high-quality, sustainable care delivery. This scoping review aimed to synthesize evidence on workforce characteristics and strategies that support sustainable, high-quality hospice care. Literature published after 2013 was searched in Ovid MEDLINE, EBSCOhost CINAHL, Ovid Embase, and Google Scholar to capture both peer-reviewed and grey literature sources relevant to hospice staffing and care quality. The review followed the PRISMA-ScR framework and was guided by the Arksey and O'Malley five-stage methodology. Search terms reflected three dimensions: 1) adult hospice care, 2) hospice staffing, and 3) the quality and effectiveness of care. Articles were included if they discussed hospice or palliative care staffing models, workforce characteristics, or operational performance metrics. Forty-seven articles were included (33 peer-reviewed publications and 14 grey literature sources), representing hospice and palliative care settings across 11 countries, with the United States most frequently studied. Core strategies to enhance workforce sustainability and patient care included staffing composition and competency, key care approaches, and volunteer integration Findings highlighted that having an appropriately structured and well-prepared workforce is critical for ensuring quality care, while strategies that promote staff well-being and streamline processes further enhance service delivery. Collectively, these themes point to guiding principles for hospice staffing: adaptable, patient-responsive models; strong interdisciplinary collaboration; ongoing training and support; and the strategic use of volunteers and technology. This review synthesizes international evidence on hospice staffing and identifies common principles that can guide practice. Taken together, these practical insights highlight an urgent need for rigorous evaluation to move beyond fragmented approaches and establish sustainable, equitable, and patient-centred staffing standards. Developing and implementing such standards is essential not only for workforce stability, but also for ensuring high-quality, compassionate care for patients and families at the end of life. Not registered. Interdisciplinary, flexible staffing models improve hospice care quality and support workforce sustainability.

Artificial intelligence (AI) in radiology and oncology promises improvements in diagnostic accuracy and efficiency yet introduces complex ethical and societal challenges. Governance efforts frequently rely on high-level principles such as trustworthiness and fairness, which risk becoming ineffective when not grounded in specific contexts. This study presents findings from our work on ethical and societal aspects of AI within the EuCanImage project. We conducted a multi-method empirical study involving literature reviews, interviews, and workshops with developers, clinicians, and other stakeholders. The study explored how ethical concerns emerge in real-world settings and how they are shaped by institutional, clinical, and sociotechnical dynamics. Findings indicate that ongoing interdisciplinary involvement is essential to address explainability, accountability, bias, and social impact in radiological AI. The literature review identified four guiding dimensions of trustworthy AI (i.e., explainability and interpretability, trust and trustworthiness, responsibility and accountability, and justice and fairness) which remain difficult to operationalize without concrete procedural guidance. Empirical findings highlight that ethical issues cannot be addressed solely as technical problems or abstract principles. Trustworthiness emerged as relational and co-constructed through interactions among very diverse stakeholders. We propose a structured, multi-stakeholder AI development pathway that advances from decontextualized, principle-driven ethics toward embedded, interdisciplinary approaches attentive to clinical realities, power relations, and socio-cultural conditions, by strengthening stakeholder engagement for trustworthy AI in cancer care.

Gas-sensing technology is indispensable in fields such as environmental monitoring, industrial safety, food quality control, and medical diagnostics. Template-assisted synthesis can be employed to construct hierarchical structures in gas-sensing materials, enabling precise multiscale control over morphology, porosity, and intrinsic electronic properties, thereby paving the way for developing next-generation gas sensors with enhanced sensitivity and selectivity. Continuous innovations in the synthesis of hierarchical materials like metal oxide semiconductors (MOS) and metal-organic frameworks (MOFs) have significantly enhanced gas sensing performance in stability, response speed, sensitivity, and selectivity. However, a systematic analysis linking hierarchical structures built via different templating methods to sensing performance remains lacking. This review systematically summarizes the design principles, control mechanisms, and functional applications of three primary templating approaches. Furthermore, this work examines how tailored templating strategies can balance structural precision, synthetic complexity, and environmental impact. Finally, we offer forward-looking perspectives on future development pathways, as well as the challenges and opportunities for practical applications.

HIV infection has historically been associated with impaired fracture healing due to immune dysregulation, altered inflammatory responses, and reduced bone mineral density. However, emerging evidence suggests that patients with well-controlled HIV receiving antiretroviral therapy (ART) may achieve surgical outcomes comparable to HIV-negative individuals, even following complex orthopedic trauma. This case report aims to describe the management and outcome of an open distal femur fracture in an HIV-positive patient in a resource-limited setting. We report the case of a 25-year-old male with previously undiagnosed HIV infection who sustained an open, displaced distal femur fracture secondary to a gunshot injury. HIV infection was confirmed using a WHO-recommended sequential rapid testing algorithm. The patient demonstrated moderate immune competence (CD4 count: 400 cells/mm3). Initial management included prompt surgical debridement, copious irrigation, intravenous antibiotics, and temporary immobilization. Definitive internal fixation using a distal femoral locking plate was performed ten days later, alongside initiation of ART (tenofovir, lamivudine, and dolutegravir). Postoperative recovery was uncomplicated. Radiographic follow-up at one and eight months demonstrated complete fracture union and stable fixation without evidence of infection or implant failure. This case supports growing evidence that HIV infection, when appropriately diagnosed and managed, should not be considered a contraindication to internal fixation of open femoral fractures. Timely surgical intervention, adherence to open fracture management principles, and early initiation of ART can result in favorable outcomes, even in resource-limited settings.

Advances in AI hold considerable promise for organ transplantation. While every transformation brings change, not all change is transformative. Despite the rapid growth of AI in medicine, most applications remain in developmental or experimental stages, with relatively few having been successfully integrated into routine clinical practice. As a professional society, ESOT recognises that achieving meaningful impact will require more than technical progress. This position paper outlines five critical domains for successful implementation. (1) High-quality development: Coordinated collaboration and methodological rigour are prerequisites for trust; AI is only as robust as the data used to train it. (2) Ethical considerations: We must address risks to equity and access to care, and move from generic ethical principles to transplantation-specific ethical guidance. (3) Regulatory landscape: AI in transplantation is regulated under both EU medical device and AI legislation; compliance is central to stakeholder trust. (4) Responsible adoption: AI should augment, not replace, human expertise. Strengthening AI literacy is essential for meaningful adoption. (5) Participatory design: Active involvement of transplant professionals and patients is essential to address real clinical needs. These statements serve as a strategic framework to guide clinicians, researchers, and policymakers in making AI a genuine force multiplier for the transplant community.

Genitourinary fistulas, though rare, are serious complications predominantly following gynecological surgeries. Minimally invasive laparoscopic techniques have emerged as effective alternatives to open repair, offering faster recovery and reduced morbidity. The purpose of this study is to report the surgical outcome of laparoscopic genitourinary fistula repair performed at our institution. Fifty-eight consecutive patients who underwent laparoscopic genitourinary fistula repair at the Department of Urology, Gandhi Medical College, Bhopal, India, from December 2018 to January 2025, were included in this study. The study was conducted retrospectively by analyzing data from a prospectively maintained institutional medical records database. Among those patients, 30 had vesicovaginal fistula (VVF), 26 had ureterovaginal fistula (UVF), and 2 had vesicouterine fistula (VUF). Patients were assessed preoperatively with imaging and cystoscopy and underwent standardized laparoscopic repair based on fistula type. Outcome measures included success rate, recurrence, complications, perioperative parameters, and postoperative recovery parameters. Statistical analysis was descriptive. Laparoscopic repair of 30 supratrigonal VVF, 26 UVF, and 2 VUF was performed. VVF was associated with abdominal hysterectomy in 20 patients, vaginal hysterectomy in 4 patients, and lower segment cesarean section (LSCS) in 6 patients. UVF was associated with abdominal hysterectomy in 22 patients, vaginal hysterectomy in 2 patients, radical hysterectomy in 1 patient, and LSCS in 1 patient. Both cases of VUF were associated with LSCS. The mean size of the VVF was 15 mm. One intraoperative bowel injury occurred during laparoscopic VVF repair and was successfully managed using the Heineke-Mikulicz repair. Two cases of VVF developed recurrence; both the cases were successfully managed with open VVF repair 3 months after the diagnosis. The success rates of VVF, UVF, and VUF were 93.33%, 100%, and 100%, respectively. Laparoscopic genitourinary fistula repair is a reliable and effective treatment modality with high success rates and minimal morbidity. With appropriate patient selection, meticulous preoperative evaluation, and adherence to sound surgical principles, laparoscopic repair is a feasible and effective option in centers with laparoscopic expertise.

Recent advances in Doppler ultrasound have led to the development of microvascular flow imaging, a technique designed to overcome the limitations of color and Power Doppler in detecting slow, small-vessel flow. This narrative review summarizes the technical foundations, clinical applications, and emerging perspectives of microvascular technologies in musculoskeletal ultrasound, emphasizing their role as a bridge between morphological and functional imaging. Microvascular flow imaging employs spatiotemporal clutter-suppression algorithms and high-frame-rate acquisition to visualize low-velocity blood flow within capillaries smaller than 100 µm, without the need for contrast agents. The method enhances detection of microvascularity in tendons, synovium, and peripheral nerves, providing early indicators of inflammatory or degenerative activity. Proprietary vendor implementations share the same physical principles but differ in algorithmic filtering and signal rendering. Clinically, microvascular flow imaging has demonstrated superior sensitivity compared with Power Doppler for detecting subclinical synovitis, assessing tendinopathies, and evaluating entrapment neuropathies, offering both quantitative and prognostic insights. Although microvascular flow imaging improves diagnostic sensitivity and supports dynamic, contrast-free assessment of tissue perfusion, its routine implementation remains limited by the absence of standardized acquisition protocols, validated quantitative metrics, and inter-vendor harmonization. Ongoing research into AI-based vascular quantification and portable point-of-care systems may enhance reproducibility, accessibility, and integration into everyday musculoskeletal imaging. Overall, microvascular flow imaging represents a pivotal step toward functional musculoskeletal ultrasound, with expanding diagnostic, prognostic, and theranostic potential.

Ewing sarcoma is a malignant primary bone tumor that predominantly affects the long bones and pelvis of children and adolescents. Involvement of the hand is exceptionally rare, particularly at the level of the first metacarpal. When the dominant thumb is affected, treatment becomes especially challenging due to the critical functional role of this structure. We report the case of an 11-year-old right-handed boy who presented with a painful swelling of the right thumb. Imaging revealed an aggressive osteolytic lesion of the first metacarpal with soft tissue extension. Histology confirmed Ewing sarcoma. After neoadjuvant chemotherapy according to the EuroEWing 2012 protocol, Thumb-sparing resection was performed, including the trapeziometacarpal and metacarpophalangeal joints. Reconstruction was achieved using a non-vascularized fibular autograft. Despite a poor histological response, surgical margins were tumor-free. Adjuvant chemotherapy and radiotherapy were administered. At one-year follow-up, there was no local recurrence, with satisfactory functional outcome of the dominant hand. Ewing sarcoma of the first metacarpal is exceedingly rare. Limb-sparing surgery with fibular graft reconstruction may represent a valid alternative to amputation in carefully selected pediatric patients, even in cases of limited histological response, provided that oncological principles are respected.

It has long been recognised that, in the long term, hazardous acetonitrile (ACN) as a mobile-phase component and the environmentally critical trifluoroacetic acid (TFA) as an ion-pairing reagent should be replaced in high-performance liquid chromatography (HPLC). Nevertheless, methods relying on precisely these reagents are still widely used. Herein, we show that alternative approaches for the analysis of small molecule drugs are readily applicable, using examples from pharmaceutical quality control and medicinal chemistry. First, the principles of green analytical chemistry were implemented in an alternative HPLC method for the theophylline monohydrate monograph of the European Pharmacopoeia, without altering the core methodology. Among the various conditions tested, the use of 2% dimethyl carbonate (DMC) provided equivalent separation and an even slightly improved resolution compared with the original ACN-based pharmacopoeial method. In a second approach, we present a highly sustainable gradient HPLC method for routine purity analysis of synthesis products by replacing TFA with safe, biodegradable, and environmentally benign methanesulfonic acid (MSA). Furthermore, in the case of this gradient method, ACN could be replaced by the biodegradable and environmentally friendly DMC. An eluent composition consisting of 42 parts DMC, 23 parts EtOH, 35 parts H2O and 0.1 parts MSA was found to be equivalent to ACN containing 0.1% TFA. By employing a reproducible protocol using EtOH as a co-solvent, we were able to overcome current challenges associated with the use of organic carbonates in HPLC, which primarily arise from their limited miscibility with water. Given the continued widespread use of gradient HPLC methods employing ACN as an eluent and TFA as an acidic modifier, the methods presented herein offer significant potential to advance the implementation of sustainability in pharmaceutical quality control and medicinal chemistry.

Disorders of gut-brain interaction (DGBIs) are highly prevalent and frequently evaluated using a positive, symptom-based diagnostic framework defined by the Rome criteria. Despite guideline recommendations discouraging routine exclusionary testing in the absence of alarm features, excessive diagnostic evaluation remains common in clinical practice. Whether this pattern originates during undergraduate medical training is unknown. We conducted a multicenter cross-sectional study of 238 medical students from 45 universities across 14 Latin American countries. Participants completed a structured survey assessing exposure to DGBI teaching, theoretical knowledge of Rome-based diagnosis, recognition of alarm features, and diagnostic decision-making using sequential standardized vignettes representing a Rome IV-consistent irritable bowel syndrome (IBS) presentation without red flags. Although 74% reported prior DGBI-specific teaching and 69% had heard of the Rome criteria, 70% ordered diagnostic tests in the initial Rome-consistent adult vignette. Testing escalated with increased symptom severity and persisted in 53% despite normal laboratory findings. Misclassification of functional symptoms as alarm features occurred in approximately one-third of respondents. Higher theoretical knowledge was associated with lower initial testing rates (68% vs. 83%, p = 0.010), although unnecessary testing remained common even among high-knowledge students. Only 15% met criteria for high composite clinical performance, and 21% demonstrated discordant high knowledge but poor clinical reasoning. These findings identify an early divergence between Rome-based diagnostic principles and applied clinical reasoning. Diagnostic overuse in DGBIs may begin during undergraduate training, suggesting that improving education requires not only knowledge transmission but also structured reinforcement of positive diagnosis and diagnostic restraint.

Autism spectrum disorder (ASD) is a developmental disorder of the brain characterized by difficulties in social interaction and communication and stereotyped behaviors. Key brain regions involved in social functioning that are often impaired in individuals with ASD include the mesial prefrontal cortex, amygdala, superior temporal sulcus (STS), temporoparietal junction, and temporal pole. Additionally, areas such as the inferior frontal gyrus and inferior parietal lobule, which are part of the mirror neuron system, as well as the dorsolateral prefrontal cortex (DLPFC), associated with executive function, are also implicated. Various brain imaging techniques like functional magnetic resonance imaging (fMRI), electroencephalography, and magnetoencephalography have indicated dysfunctional brain connectivity in individuals with autism. fMRI is a commonly used imaging method for studying brain connectivity patterns in those with autism; however, its effectiveness can be hindered by technical challenges and the difficulty of obtaining high-quality images in the awake state in these individuals. Functional near-infrared spectroscopy (fNIRS) is a relatively new technique that has been explored to understand hemodynamic brain responses and connectivity in autism. Over the past decade, numerous studies have utilized fNIRS to examine individuals with ASD, including infants, children, and adults, both at rest and during various tasks. In this review article, we first outline the fundamental principles and technology behind fNIRS, along with its advantages and limitations, followed by the fNIRS studies conducted on children with ASD during resting states, as well as during various tasks such as joint attention, emotion recognition, and language processing.

Peptide self-assembly represents a versatile and programmable strategy for generating functional nanomaterials with broad biomedical relevance. This review outlines the physicochemical principles governing assembly, highlighting cooperative noncovalent interactions, hydrogen bonding, π-π stacking, electrostatics and hydrophobic forces that drive hierarchical organisation into supramolecular structures. Key analytical techniques for characterising peptide assemblies and nanostructures are also summarised. The contribution of secondary structural motifs, particularly α-helices and β-sheets, is explored in relation to morphology, stability and biological function. α-Helical coiled-coil peptides form well-defined nanotubular architectures suitable for cargo encapsulation, whereas β-sheet peptides assemble into nanofibrillar networks and hydrogels with tuneable mechanical properties and sustained release profiles, as illustrated by systems such as RQDL10. Beyond peptides, protein and DNA self-assembly further expand the biomolecular design space. Protein-based systems leverage hydrophobic and Debye-Hückel electrostatic interactions to build hierarchical, functional architectures. DNA platforms enable programmable, stimulus-responsive assembly, including enzyme- and logic-controlled activation and hybridisation-driven formation of reversible higher-order nanostructures. Applications in drug delivery, tissue engineering and regenerative medicine are discussed alongside challenges such as limited in vivo stability, proteolytic degradation and scalability. Emerging approaches-including rational design, sequence engineering and advanced fabrication-aim to improve predictability and reproducibility, positioning biomolecular self-assembly as a unified platform for next-generation biomaterials.

Semiconductor nanomaterials decorated with low-cost and environmentally benign carbon dots (CDs) as cocatalysts have recently attracted increasing attention for a variety of photocatalytic reactions, driven by the main principles of circular economy and practical applications. Despite this progress, a mechanistic understanding of how semiconductor surface interacts with CDs to enhance the photogenerated charge separation still remains an open challenge. To unravel this, here, we meticulously designed two different hybrid systems: (i) CDs coupled with pristine brookite TiO2 nanorods (CDs/P-BTi) and (ii) CDs coupled with sonoreduced brookite TiO2 nanorods (CDs/R-BTi), synthesized via a simple hydrothermal procedure with optimized 0.5 wt % CD loading in each case. Interestingly, CDs/R-BTi shows a 10-fold higher photocatalytic H2 production rate as compared to sonoreduced brookite TiO2 nanorods (R-BTi). But CDs/P-BTi exhibits only 4-fold H2 production rate enhancement as compared to pristine brookite TiO2 nanorods (P-BTi). An in-depth mechanistic study confirms that the presence of oxygen vacancy-rich Ti3+ defect sites, together with the formation of strong interfacial heterojunctions, significantly enhances photogenerated charge carrier separation and their efficient migration to the respective catalytic centers in CDs/R-BTi, thereby resulting in the aforementioned higher rate enhancements. These results demonstrate that utilizing an oxygen vacancy-rich TiO2 surface is a more effective strategy than using a pristine TiO2 surface when CDs are used as cocatalysts for achieving high photocatalytic performance.

This paper presents an integrated framework for real-time athlete group movement analysis in competitive sports, addressing heterogeneous sensor noise, complex multi-agent interactions, and edge-device constraints. The core innovation is a unified state-space model with factor-graph optimization that tightly fuses raw IMU, GPS, and vision data, achieving a mean positioning error of 0.18 m-a 42% improvement over loosely coupled baselines. To overcome computational limitations, we introduce a resource-aware adaptive inference mechanism that dynamically adjusts model complexity based on scene dynamics, reducing latency to 7.8 ms while maintaining over 91% accuracy. For group analysis, a spatiotemporal graph neural network models collaborative and adversarial relationships, attaining 87.4% tactical pattern recognition. Beyond empirical validation, we distill three generalizable design principles: cross-layer Pareto optimality for resource-accuracy trade-offs, context-aware computation frameworks, and semantic graph construction via domain priors. These contributions advance edge-based multi-agent perception systems, extending applicability to autonomous driving and robotic coordination.

Clinical governance requires the integration of evidence not only on clinical interventions but also on organisational processes that shape health services delivery and directly influence quality, efficiency, and patient safety. Despite the widespread availability of evidence-based clinical guidelines, healthcare systems often lack standardised methods to translate evidence into effective organisational models. To address this gap, the Italian National Centre for Clinical Governance (CNCG) at the Italian National Institute of Health (ISS) developed a structured methodological framework for Organisational Clinical Best Practice Recommendations (O-BPCA), aimed at strengthening evidence-based governance and organisational performance within healthcare services. The O-BPCA framework was developed through a structured, multi-step process encompassing governance principles, methodological standards, and operational phases, culminating in institutional validation through external review, public consultation, and formal approval by the ISS. The methodological manual defines transparent procedures for evidence synthesis, consensus building, and the formulation of measurable organisational recommendations applicable across health service settings. The framework has been operationalised within the CNCG through the identification of two priority macro-areas for organisational innovation, surgical and territorial care, and the establishment of dedicated Thematic Operational Groups (GOTs) responsible for developing and validating O-BPCA recommendations in selected priority domains. Early implementation has highlighted the framework's feasibility, scalability, and potential to support coordinated organisational improvement within the Italian National Health Service. The O-BPCA framework represents an innovative policy and methodological tool for healthcare governance, bridging clinical evidence and organisational implementation within health services. By promoting standardisation, transparency, and accountability in organisational decision-making, the framework supports sustainable improvements in service delivery and performance. Its structured and replicable approach makes it transferable beyond the Italian National Health Service and adaptable to other health systems seeking to strengthen evidence-based organisational governance.

Adolescents with type 1 diabetes (T1D) report increased stress and anxiety in comparison to their peers, which may result in out-of-range glycemic outcomes. Complementary therapies such as mindfulness may improve stress and anxiety. However, mindfulness training is mostly delivered in-person for adolescents. As adolescents with T1D are high consumers of technology, with busy schedules that impede their ability to complete in-person training, we designed an mHealth application, Appricate©, to deliver mindfulness-training. The goal of this pilot study was to qualitatively describe the experience of participating in an 8-week mHealth mindfulness-training intervention based on the principles of MBSR, Appricate©, among adolescents with T1D. We conducted semi-structured interviews with 12 adolescents aged 12 to 19 years old who had T1D for >6 months and had completed our 8-week mHealth mindfulness-training intervention. We identified five themes based on participant interviews: (1) initial appeal and attractiveness, (2) usability, (3) engagement, (4) user outcomes, and (5) recommendations. Appricate© was reported as "well made" that was "very easy to use" with engaging lessons. Participants had improved sleep, stress and anxiety management and better ability to manage school and after-school activities after using Appricate©. Participants also recommended additional content and options for personalization.

X-ray spectroscopy provides sensitive, element-specific insight into local geometric and electronic structures, but predictive first-principles simulations can be computationally expensive for large and chemically diverse molecular systems. Recent machine-learning approaches have shown promise in accelerating structure-to-spectrum prediction; however, most directly regress discretized spectral intensities and rely on hand-crafted geometric descriptors centered on the absorbing atom. Herein, we introduce a machine learning framework that encodes a detailed, environment-aware representation of the nuclear structure beyond the absorbing site. The model combines these descriptors with a physically motivated, multiscale Gaussian spectral basis whose coefficients are obtained via ridge projection, enforcing smoothness and spectral consistency. To further enhance robustness across chemical and conformational diversity, we employ a multiscale structural similarity loss that couples geometric and spectral resolution. This integrated approach yields accurate and transferable predictions across a wide range of molecular geometries and chemical environments while maintaining physical interpretability. The proposed framework establishes a physically structured and scalable route to machine-learned X-ray spectroscopy.

Ischemia-reperfusion (I/R) injury remains a principal biological determinant of partial or total flap failure in reconstructive microsurgery. Reperfusion paradoxically initiates a coordinated cascade involving reactive oxygen species generation, lipid peroxidation, neutrophil activation, endothelial dysfunction, and microvascular obstruction, ultimately propagating progressive tissue necrosis. Despite extensive experimental investigation, effective translation into perioperative free flap salvage strategies remains limited. A structured translational synthesis was conducted integrating institutional experimental flap I/R studies performed over two decades with systematically mapped external literature published between 2000 and February 2026. Study identification followed PRISMA-informed search principles to ensure methodological transparency. Data extraction adhered to ARRIVE 2.0 domains to standardize experimental quality assessment. Given predefined biological heterogeneity in flap type, ischemia duration, intervention timing, and outcome definitions, quantitative meta-analysis was not pursued. Instead, biologically stratified comparative analyses were performed, and biologically contextualized viability changes were descriptively evaluated within comparable severe ischemia subgroups to preserve mechanistic interpretability. Across experimental platforms, effective interventions demonstrated a reproducible biological signature characterized by attenuation of lipid peroxidation, suppression of neutrophil-mediated inflammation, restoration of endogenous antioxidant defenses, and preservation of nitric oxide bioavailability. In a comparable severe ischemia epigastric island flap paradigm, trimetazidine, propionyl-L-carnitine, and lutein each demonstrated improved survival area relative to ischemic controls within their respective experimental contexts. Surgical conditioning strategies exhibited robust protection, with venous flap pre-arterialization and delay procedures achieving survival rates approaching near-complete viability in the respective model. However, these conditioning strategies are not directly transferable to acute free flap salvage scenarios and are primarily applicable to planned or staged reconstructive settings. Flap I/R injury follows a reproducible oxidative stress-inflammation-microvascular dysfunction axis. Interventions targeting multiple components of this cascade appear to demonstrate a more reproducible protective pattern across severe ischemia conditions within their respective experimental contexts. These findings establish a translational mechanistic framework to guide rational adjunctive strategies in high-risk free flap protocols and support prospective clinical integration in microsurgical salvage scenarios. This synthesis is intended to guide mechanistic prioritization rather than imply direct interventional equivalence across models.