Complex Management Research Articles

FACTORS INFLUENCING CLOUD COMPUTING ADOPTION : TECHNOLOGY, ORGANIZATIONAL AND ENVIRONMENT (TOE) FRAMEWORK APPROACH

The latest technology that must be applied to prepare for modernity is based on information technology. This technology is not only used by large companies (enterprises) but can also be utilized by Micro, Small and Medium Enterprises (MSMEs). One of the utilization of technology is cloud computing by Micro and Medium Enterprises (MSMEs) which is increasingly widespread. This is reasonable because cloud computing technology provides benefits with a simpler process and relatively low costs. In line with this, this study aims to determine the factors that influence the adoption of cloud computing in MSMEs. An integrated model was developed based on the Technology, Organization, and Environment (TOE) framework. This research data was obtained through a structured survey questionnaire given to 150 MSME owners/managers in the Soloraya Region. The results obtained through SEM-PLS analysis show that factors such as organizational readiness and competitor pressure have a significant effect on cloud computing adoption in MSMEs in the Soloraya Region. However, factors of relative advantage, complexity, and top management support were found to have no significant effect on cloud computing adoption. This research provides a theoretical contribution to the expansion of the TOE Framework.

Measuring complexity in mega construction projects: fuzzy comprehensive evaluation and grey relational analysis

PurposeMega construction projects (MCPs), characterized by their vast scale, numerous stakeholders and complex management, often face significant uncertainties and challenges. While existing research has explored the complexity of MCPs, it predominantly focuses on qualitative analysis and lacks systematic quantitative measurement methods. Therefore, this study aims to construct a complexity measurement model for MCPs using fuzzy comprehensive evaluation and grey relational analysis.Design/methodology/approachThis study first constructs a complexity measurement framework through a systematic literature review, covering six dimensions of technical complexity, organizational complexity, goal complexity, environmental complexity, cultural complexity and information complexity and comprising 30 influencing factors. Secondly, a fuzzy evaluation matrix for complexity is constructed using a generalized bell-shaped membership function to effectively handle the fuzziness and uncertainty in the assessment. Subsequently, grey relational analysis is used to calculate the relational degree of each complexity factor, identifying their weights in the overall complexity. Finally, the weighted comprehensive evaluation results of project complexity are derived by combining the fuzzy evaluation results with the grey relational degrees.FindingsTo validate the model’s effectiveness, the 2020 Xi’an Silk Road International Conference Center construction project is used as a case study. The results indicate that the overall complexity level of the project is moderate, with goal complexity being the highest, followed by organizational complexity, environmental complexity, technical complexity, cultural complexity and informational complexity. The empirical analysis demonstrates that the model can accurately reflect the variations across different dimensions of MCP complexity and can be effectively applied in real-world projects.Originality/valueThis study systematically integrates research on MCPs complexity, establishing a multidimensional complexity measurement framework that addresses the limitations of previous studies focusing on partial dimensions. Moreover, the proposed quantitative measurement model combines fuzzy comprehensive evaluation and grey relational analysis, enhancing the accuracy and objectivity of complexity measurement while minimizing subjective bias. Lastly, the model has broad applicability and can be used in MCPs across different countries and regions, providing a scientific and effective basis for identifying and managing MCP complexity.

Complex Management of Respiratory Failure, Atrial Fibrillation, Ventricular Tachycardia, and Stenotrophomonas maltophilia in a Patient Following Osteomyelitis Amputation: A Case of Multisystem Complications Occurring Postoperatively

Complex Management of Respiratory Failure, Atrial Fibrillation, Ventricular Tachycardia, and Stenotrophomonas maltophilia in a Patient Following Osteomyelitis Amputation: A Case of Multisystem Complications Occurring Postoperatively

A Review on Research of Prefabricated Building Costs: Exploring Collaborations, Intellectual Basis, and Research Trends

This analysis provides a comprehensive overview of current research regarding prefabricated construction costs, explained under three main categories: collaboration, intellectual basis, and research trends. The collaboration network covers country, institution, and journal distribution. Intellectual basis includes a cited journal, cited reference, and cited author, while research trends cover research category, keyword and keyword cluster analysis, and cited reference cluster. Through bibliometric analysis, we find that this field has garnered significant attention in the academic community and has developed rapidly. China dominates the field of prefabricated construction, with Curtin University, Chongqing University, and Deakin University being the leading research institutions, while Automation in Construction is the most cited journal. Although technology integration is widely regarded as a key means of cost optimization, its high implementation costs and complexity have limited its widespread application. The challenges of technology integration lie in the need to address high capital costs, complex management practices, and the demand for advanced technology integration, which have become significant barriers to the promotion of prefabricated construction. Moreover, current research also focuses on how to enhance risk control and management practices in cost management to promote sustainable development. Future research will focus on green and sustainable technologies, multidisciplinary engineering, energy and fuel, construction technologies to optimize prefabricated construction techniques, advance low-carbon building practices, and improve decision analysis and risk management. The key factors influencing costs include technological factor, policy factors, market and environmental factors, and organizational management. By systematically controlling these factors, cost pressures can be effectively alleviated, construction efficiency improved, and the sustainability of prefabricated buildings enhanced. This study not only provides a comprehensive analysis of the current state and trends in research on the costs of prefabricated construction but also highlights the critical role of technological innovation, policy optimization, and interdisciplinary collaboration in promoting the sustainable development of prefabricated construction globally.

The Convergence of SAP PP, RPA, and IBP: A Comprehensive Analysis of Integration Benefits and Challenges in Modern Manufacturing

The integration of SAP Production Planning (PP) with Robotic Process Automation (RPA) and SAP Integrated Business Planning (IBP) represents a significant advancement in manufacturing and supply chain management. This article examines the synergies, challenges, and potential benefits of combining these technologies in modern production environments. Through a comprehensive analysis of existing literature, case studies, and industry best practices, we propose a framework for seamless integration that enhances operational efficiency, improves forecast accuracy, and enables real-time decision-making. Our findings reveal that successfully implementing this integrated approach can substantially improve production planning, resource allocation, and overall supply chain performance. However, organizations face notable challenges regarding technical complexity, data synchronization, and change management. This article contributes to the growing body of knowledge on digital transformation in manufacturing by providing actionable insights and recommendations for practitioners. Furthermore, it identifies key areas for future research, including the role of artificial intelligence and machine learning in further optimizing these integrated systems.

Colostomy formation in a peritoneal dialysis patient.

This case report discusses the complex management of a 46-year-old man with poorly controlled type 1 diabetes mellitus, stage 5 chronic kidney disease, and severe neuropathic complications, which led to bilateral leg amputations. The patient experienced persistent diarrhea due to diabetic neuropathy, significantly impairing his daily functioning. Despite transitioning from hemodialysis to peritoneal dialysis, the diarrhea persisted. A colostomy was subsequently performed, which, although it did not completely resolve the diarrhea, allowed for better control, improving the patient's self-care and independence. Notably, the catheter exit site was maintained on the opposite side of the abdomen. Despite initial concerns about the feasibility of peritoneal dialysis (PD) in patients with stomas, including the challenges of creating a stoma in patients with an existing PD catheter, this case demonstrates the successful continuation of PD following a colostomy. Traditionally, intestinal stomas have been viewed as a relative contraindication to PD due to risks such as leakage and infection. However, current guidelines recommend using extended catheters with a presternal exit site to minimize these risks. The patient's quality of life improved significantly after the colostomy, with no major complications observed during follow-up. This report underscores the importance of tailoring treatment to individual patient needs, balancing risks with potential well-being benefits, and highlights the necessity of interdisciplinary collaboration and adherence to best practices. Given the limited literature on PD in patients with intestinal stomas, this case contributes valuable clinical insights for future management.

The Predictive Role of Inflammatory Biomarkers and Their Correlation with the Biochemical Profile in Patients with Vasculopathy Undergoing Surgery

Inflammation is involved in the pathomechanism of vascular diseases. Pro-inflammatory cytokines are important in perioperative monitoring. The aim of the study was the perioperative assessment of biochemical tests and inflammatory markers in patients with vasculopathy, focusing on the identification of subjects prone to complications. The study was performed between 2020 and 2023 at the Clinical County Hospital in Târgu Mureș on enrolled diabetic and non-diabetic patients with vasculopathy and lower limb surgery (amputation or necrectomy). Pre- and postoperative inflammatory markers, biochemical, and hematological tests (n = 62) were performed. Positive correlation was found between preoperative C-reactive protein (CRP) and interleukin-6 (IL-6) levels, and between preoperative triglyceridemia and glycemia/cholesterolemia. Positive correlation was present between pre- and postoperative values of IL-6, tumor necrosis factor-alfa (TNF-α), CRP, and fibrinogen. Preoperative TNF-α values positively correlated with malondialdehyde (MDA) levels, postoperative TNF-α values with transaminase enzymes. Diabetic patients presented higher IL-6 results compared to non-diabetic subjects. We can conclude that dynamic assessment of inflammatory markers is appropriate for monitoring perioperative course. Half of the subjects presented moderately increased preoperative IL-6 levels, and one quarter had critically high values, which might predict prolonged hospitalization. The assessment of oxidative stress, inflammatory markers and biochemical parameters enables the identification of patients prone to complications, so they can benefit from more complex management.

Global and regional burden of pancreatitis: epidemiological trends, risk factors, and projections to 2050 from the global burden of disease study 2021

BackgroundPancreatitis is a significant global health concern with rising incidence, complex management, and substantial mortality. This study aimed to assess global and regional trends in pancreatitis from 1990 to 2021 and project future trends to 2050 using data from the Global Burden of Disease (GBD) Study 2021.MethodsWe analyzed GBD 2021 data to evaluate age-standardized incidence (ASIR), mortality (ASMR), and disability-adjusted life years (DALYs) rates of pancreatitis. Regional trends, gender disparities, and correlations with the Socio-demographic Index (SDI) were examined. Key risk factors, including alcohol consumption, smoking, and metabolic disorders such as hyperlipidemia, were extracted and evaluated. A Bayesian age-period-cohort model (BAPC) was used for future projections.ResultsFrom 1990 to 2021, global pancreatitis cases increased from 1.73 million to 2.75 million, representing a rise of 59%. Despite this, ASIR decreased slightly from 37.62 to 32.81 per 100,000, a 12.8% reduction. Deaths rose from 68,490 to 122,416, an increase of 78.7%, while ASMR decreased from 1.69 to 1.45 per 100,000, a reduction of 14.2%. DALYs increased from 2.58 million to 4.10 million (59%). Significant regional variations were found, with Eastern Europe showing the highest ASIR, ASMR, and DALY rates. Projections indicate continued declines in ASIR, ASMR, and DALYs through 2050.ConclusionsWhile global age-standardized rates of pancreatitis have declined, significant regional and socioeconomic disparities persist. Targeted prevention efforts, particularly in high-burden areas like Eastern Europe, and addressing modifiable risk factors such as alcohol use are crucial for reducing the future burden of pancreatitis.

TPTrans: Vessel Trajectory Prediction Model Based on Transformer Using AIS Data

The analysis of large amounts of vessel trajectory data can facilitate more complex traffic management and route planning, thereby reducing the risk of accidents. The application of deep learning methods in vessel trajectory prediction is becoming more and more widespread; however, due to the complexity of the marine environment, including the influence of geographical environmental factors, weather factors, and real-time traffic conditions, predicting trajectories in less constrained maritime areas is more challenging than in path network conditions. Ship trajectory prediction methods based on kinematic formulas work well in ideal conditions but struggle with real-world complexities. Machine learning methods avoid kinematic formulas but fail to fully leverage complex data due to their simple structure. Deep learning methods, which do not require preset formulas, still face challenges in achieving high-precision and long-term predictions, particularly with complex ship movements and heterogeneous data. This study introduces an innovative model based on the transformer structure to predict the trajectory of a vessel. First, by processing the raw AIS (Automatic Identification System) data, we provide the model with a more efficient input format and data that are both more representative and concise. Secondly, we combine convolutional layers with the transformer structure, using convolutional neural networks to extract local spatiotemporal features in sequences. The encoder and decoder structure of the traditional transformer structure is retained by us. The attention mechanism is used to extract the global spatiotemporal features of sequences. Finally, the model is trained and tested using publicly available AIS data. The prediction results on the field data show that the model can predict trajectories including straight lines and turns under the field data of complex terrain, and in terms of prediction accuracy, our model can reduce the mean squared error by at least 6×10−4 compared with the baseline model.

Retrospective analysis of medication-related osteonecrosis of the jaw at a maxillofacial prosthetics clinic

Purpose: Medication-related osteonecrosis of the jaw (MRONJ) poses significant challenges in patient care because of its complex etiology, clinical manifestations, and management. This study aims to provide an overview of patients with MRONJ treated at our clinic over the past 12 years, highlighting incidence, clinical characteristics, and prosthetic treatment outcomes. Materials and Methods: The study included patients with MRONJ who visited our clinic between January 2012 and April 2024. Data on demographic characteristics, lesion location, clinical presentation, primary diseases, prosthetic management and medications were collected from health records. Results: This retrospective analysis of cases of MRONJ over 12 years at a maxillofacial prosthetics clinic reveals a rising prevalence of the condition, particularly in the elderly, with treatments for breast and prostate cancer emerging as prominent risk factors. Distinct medication-specific effects on distribution of lesions suggest variation in pathogenic mechanisms, which require tailored treatment strategies. Management strategies encompass a spectrum of interventions from conservative measures to prosthetic rehabilitation, highlighting the importance of interdisciplinary collaboration and personalized care. Conclusion: The rising incidence of MRONJ, especially among elderly patients, indicates the need for enhanced preventive measures and interdisciplinary care. Breast and prostate cancer treatments are significant risk factors, necessitating tailored monitoring. Effective prosthetic management is crucial for improving oral function and quality of life in MRONJ patients.

Coupled Human and Natural Systems: A Novel Framework for Complexity Management

Coupled human and natural systems (CHANS) represent dialectic interaction between human and nature subsystems. This dynamic interaction involves a prominent level of complexity stemming from the uncertain interrelation between the systems and the incorporated subsystems. The complexity within CHANS includes reciprocal effects, nonlinearity, uncertainties, and heterogeneity. Although many researchers have highlighted the significance of understanding the nature of the coupling effect, most of the prevailing literature emphasises either human or natural systems separately, while considering the other as exogenous, despite evaluating the reciprocal and complex interrelations. The current review utilises the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). It focuses on synthesising the prevailing literature on the CHANS framework in several disciplines, focusing on the approach, findings, limitations, and implications. The review comprises 56 relevant articles, found through Endnote and Covidence database searches. The findings identify the dominant complexity character as reciprocal effects and feedback loops, confirming the complex interactions between human and natural systems. Furthermore, the review provides evidence surrounding the significance of developing an analytical framework that can better explain the complex connections between humans and nature, as it provides a comprehensive understanding of CHANS and their potential impacts.

Neglected perilunate injuries: Management strategies and long-term consequences: A narrative review

Neglected perilunate injuries are a challenging and often overlooked condition that can result in significant long-term consequences if not properly managed. These injuries, typically resulting from high-energy trauma, involve dislocations and fractures around the lunate bone, with delayed diagnosis leading to complex management scenarios. This narrative review examines the management strategies for neglected perilunate injuries and the associated long-term outcomes. The review explores the efficacy of different surgical approaches, including open reduction and internal fixation, proximal row carpectomy, wrist fusion, and bone retinacular bone graft scapholunate reconstruction. By evaluating the existing literature, this article highlights the critical need for early diagnosis and appropriate intervention to minimize the risk of post-traumatic arthritis and other degenerative changes.

Institutional foundations of the modern mechanism of digitalization of agroindustrial complex management

Institutional foundations of the modern mechanism of digitalization of agroindustrial complex management

Preoperative Immersive Virtual Reality (iVR) Applied to Percutaneous Nephrolithotomy: A Prospective Randomized Clinical Study of Surgical Planning and Clinical Outcomes.

Percutaneous nephrolithotomy (PCNL) is the procedure of choice for the management of complex or large renal stones. A major challenge for the surgeon, however, is the need to assimilate the nearly 2000 static images from a CT scan into a functional mental image to enable surgical planning. Accordingly, we investigated the potential of immersive virtual reality (iVR) to enhance surgical planning and its impact on the outcomes among patients undergoing PCNL. Between 2019-2023, 175 patients undergoing PCNL were pre-operatively randomized into a CT-only group (N=89) or a CT+iVR group (N=86). CT scans were rendered into iVR models that allowed the surgeon not only to visualize and manipulate each patient's relevant anatomy, but also simulate the percutaneous approach to the proposed calyx. Post-operative CT scans were defined as absolute stone-free, <2mm remnants or 2.1-4mm remnants. Pre-operative visualization of the iVR model resulted in a changed calyx of entry in 30% of cases. The CT+iVR group had a significant improvement in absolute stone-free rate (33.70% vs. 20.22%, p=0.043) and overall <4mm remnant rate (62.79% vs. 48.20%, p=0.044). Clavien-Dindo II+IIIa complications were less in the iVR group (3.48% vs. 12.30%, p=0.03). The results were independent of the surgeon's years of PCNL experience. Pre-operative iVR model visualization benefited surgeons and patients alike. From a surgical standpoint, viewing the iVR model resulted in a safer, more effective percutaneous stone removal procedure.

EXaminaTion of cRitical cAre PHArmacist pRoductivity MetricS (EXTRA‐PHARMS): The clinical pharmacist's perspective

AbstractBackgroundCritical care pharmacists are well‐established, valuable members of the intensive care unit interprofessional team with unique skills to perform comprehensive medication management in complex critically ill patients. However, standardized and consequential productivity metrics for critical care pharmacists have not been established.ObjectiveTo characterize the utilization and perception of contemporary critical care pharmacy productivity metrics utilized among individual institutions.Design, Setting, and ParticipantsAn electronic survey was distributed to critical care pharmacist members of the Society of Critical Care Medicine Clinical Pharmacy and Pharmacology Section and the American College of Clinical Pharmacy Critical Care Practice and Research Network.Main Outcomes and MeasuresThe survey included 23 questions to assess institution demographics, individual respondent demographics, institution practices, and individual respondent perceptions about the value of critical care pharmacist productivity metrics.ResultsA total of 204 critical care pharmacists, largely from the United States, responded to the survey between July and November 2022. Institutional metrics captured by more than 50% of the respondents' institutions included order verification rate/number of orders verified (60%), number of clinical interventions (57%), and intravenous to enteral product interchanges (52%). Of these metrics, critical care pharmacists only agreed with the value of the number of clinical interventions, were indifferent to the value of intravenous to oral product interchanges, and disagreed with the value of order verification rate/number of orders verified.ConclusionsSignificant discrepancies exist between institutional productivity metric practices and their perceived value and utility among critical care pharmacists.

Design of the predictive management and control system for combined propulsion complex

The object of this researching is the process of maneuvering a sea-based vehicle under compressed conditions, which requires one hundred percent reserve of thrusters (THRs) of various modifications and locations. The main problem is the provision of energy-efficient control over the ship's motion at low speed in the horizontal plane using a high-level predictive controller. The hierarchy of the motion control system (MCS) is usually divided into several levels with the help of a high-level motion controller and the THR motor control distribution algorithm. This allows for a modular software structure where a high-level controller (HLC) can be designed without using comprehensive information about the THR motors. However, for a certain reference of THR configurations, such a decoupling can lead to reduced control performance due to the limitations of HLC regarding the physical constraints of the vessel and the behavior of MCS. The main results of the researching are methods to improve control performance using a nonlinear model predictive control (MPC) as a basis for the designed motion controllers due to its optimized solution and ability to consider constraints. A decoupled system was implemented for two simple motor tasks showing dissociation problems. The shortcomings were eliminated through the development of a nonlinear MPC controller, which combines the motion controller and the distribution of control over THR motors. To preserve the discrete modularity of the control system and achieve adequate performance, a nonlinear MPC controller with time-varying constraints was designed. This has made it possible to take into account the current limitations of the THR control system, increase the accuracy of control, and reduce the response time of the system by 10 %.

Cloud Migration Analysis for Core System Infrastructure in Financial Services: Study Case PT XYZ

Currently, cloud computing adoption is being utilized in the financial sector for its flexibility and innovative technologies. This study assesses PT XYZ's readiness to migrate its core systems to a cloud environment, which is crucial for maintaining competitive agility and robustness in Indonesia's financial services sector. Focusing on the diffusion of innovations (DOI) model and the technology-organization-environment (TOE) framework, the research examines ten factors influencing PT XYZ's migration strategy. The analysis identifies challenges related to PT XYZ's aging on-premises infrastructure, including server procurement delays and maintenance issues, which impact operational efficiency. Through semi-structured interviews with key IT personnel, this study explores perceptions of the benefits and challenges of cloud computing, as well as regulatory compliance, aiming to guide PT XYZ toward a successful cloud migration that ensures continuity, compliance, and enhanced operational capabilities. The findings contribute to understanding the relative advantages, such as cost savings and security concerns, complexity, compatibility, technology readiness, top management support, firm size, competitive pressure, and regulatory factors. PT XYZ’s decision to migrate aligns with all the factors for cloud computing adoption, with the relative advantage, complexity, compatibility, technological readiness, and top management support being high impacts on the migration decision, while regulatory compliance presents a challenge for the financial services industry in Indonesia].

Colorectal Endoscopic Full-Thickness Resection: A Portuguese Multicenter Experience Based on a Retrospective Cohort

Introduction: Endoscopic full-thickness resection (EFTR) is a minimally invasive endoscopic technique that allows the resection of complex colorectal lesions, such as non-lifting, peri-appendicular, peri-diverticula, and subepithelial lesions. Published data suggest that EFTR has a technical success and R0 resection rates of 89 and 79%, respectively, and an adverse event rate of 12%. This study summarizes the EFTR experience in nine Portuguese centers with regard to its efficacy and safety. Methods: This was a multicenter uncontrolled retrospective study, including 129 colorectal EFTRs between March 2017 and September 2023. The main outcomes were procedural and technical success, R0 resection, curative resection, adverse events, and recurrence rate. Results: 129 EFTR procedures were conducted, with a technical success rate of 88.4% (114/129). Most lesions were in the right colon, with a median resection size of 25 [10–45] mm. R0 and curative resection rates were 75.9% (85/112) and 58.0% (65/112), respectively. Adverse events occurred in 13.2% (17/129) of patients, mostly due to immediate perforation, appendicitis, or delayed bleeding, needing surgery in 5.4% (7/129). Local recurrence occurred in 5.4% (5/92) of resections. Conclusion: This real-life multicenter study highlights the utility of colorectal EFTR for management of complex and carefully chosen lesions, with an acceptable adverse events rate and need for surgery.

Construction of a Multi-Level Strategic System for Cultivating Cultural Industry Management Talents in Colleges and Universities

Through SWOT (strengths, weaknesses, opportunities, and threats) and PEST (political, economic, social, and technological) analysis, this study discusses the construction of a multi-level strategic system for the cultivation of cultural industry management talents in colleges and universities. First of all, based on SWOT analysis, it is found that colleges and universities have rich educational resources and policy support, but they face challenges such as insufficient practical teaching and intensified international competition. External opportunities come from the rapid development of the cultivation of cultural industry management talents and policy promotion, while threats come from global market competition and talent flow. Secondly, PEST analysis reveals the key factors in the macro-environment: at the political level, the state vigorously supports the cultivation of cultural industry management talents; at the economic level, the market demand for cultural industries is strong; at the social level, the public cultural consumption is upgraded; at the technological level, digital transformation promotes industry innovation. On this basis, this paper puts forward a multi-level strategic system covering theoretical education, practical skill improvement, interdisciplinary integration, and international vision training. The system aims to solve the problems existing in talent training in colleges and universities and cultivate high-quality cultural industry management talents with theoretical knowledge, practical skills, and global vision, so as to adapt to the increasingly complex and diversified cultural industry management talents market demand and promote the long-term development of the industry.

Adenomyosis and Adolescence: A Challenging Diagnosis and Complex Management.

Adenomyosis is a chronic, hormone-related disease characterized by the presence of the endometrial glands and stroma within the myometrium. This condition can manifest in various features, focal or diffuse adenomyosis or as an adenomyoma, and it may involve different uterine walls (posterior, anterior, and/or lateral walls). The disease can also be classified into different degrees, as mild, moderate and severe, which can be associated with more intense symptoms, although this correlation is not always directly proportional. In fact, adenomyosis can be asymptomatic in about a third of cases or it can significantly impact patients' quality of life through painful symptoms, such as dysmenorrhea and dyspareunia, abnormal uterine bleeding-particularly heavy menstrual bleeding-and potential effects on fertility. Historically, adenomyosis has been considered a disease primarily affecting premenopausal women over the age of 40, often multiparous, because the diagnosis was traditionally based on surgical reports from hysterectomies performed after the completion of reproductive desire. Data on the presence of adenomyosis in adolescent patients remain limited. However, in recent years, advancements in noninvasive diagnostic tools and increased awareness of this pathology have enabled earlier diagnoses. The disease appears to have an early onset during adolescence, with a tendency to progress in terms of extent and severity over time. Adenomyosis often coexists with endometriosis, which also has an early onset. Therefore, it is important, when diagnosing adenomyosis, to also screen for concomitant endometriosis, especially deep endometriosis in the posterior compartment. The aim of this narrative review is to investigate the prevalence of different types and degrees of adenomyosis in younger patients, assess the associated symptoms, and describe the most appropriate diagnostic procedures for effective therapeutic management and follow-up, with the goal of improving the quality of life for these young women.