Montalbano, Michael J

ABSTRACT Prolonged operative time is associated with increased surgical complications, resource utilization, and cost. While factors such as surgeon experience and patient habitus are well recognized, the impact of anatomical anomalies and variations remains poorly quantified. This systematic review evaluates the influence of abdominal structural anomalies and anatomical variations on operative time. Following PRISMA 2020 guidelines, a search of PubMed (2000–2025) identified 82 eligible studies. Operative‐time impact was assessed using added operative time relative to reference benchmarks. The unit of analysis was the procedure‐level observation. Observations were stratified by procedure category and surgical complexity and summarized using median added operative time and range. Among procedure‐level observations with available benchmarks, 13 of 14 (92.9%) structural anomalies, 48 of 54 (88.9%) situs inversus cases, and 10 of 11 (90.9%) other anatomical variants demonstrated increased operative time relative to baseline. Structural anomalies were associated with larger median increases, particularly in colorectal procedures, whereas anatomical variations demonstrated a more heterogeneous effect across procedural systems. Higher‐complexity procedures, including pancreatic operations, showed greater absolute increases in operative time. Preoperative identification of anatomical differences was associated with attenuation of operative delays. Structural anomalies are frequently associated with increased operative duration, whereas anatomical variations demonstrate a more variable and context‐dependent effect. The magnitude of operative time impact is influenced by procedural complexity and preoperative planning. Incorporating anatomical variability into surgical planning may reduce avoidable operative delays and improve operative efficiency.

ABSTRACT Femoral nerve block is an essential regional anesthetic technique for surgery and analgesia of the anterior thigh, hip, and knee. Its effectiveness depends on understanding the femoral nerve's origin, branching pattern, fascial relationships, and common anatomical variations. This review summarizes current anatomical, cadaveric, and imaging studies to clarify the course of the femoral nerve and highlight variations such as high divisions, accessory branches, and vascular overlap that may influence block success. Approaches including landmark, nerve stimulator, and ultrasound‐guided techniques are reviewed with emphasis on procedural anatomy. Ultrasound features of the femoral nerve and fascia iliaca are correlated with cadaveric findings to outline optimal needle placement and spread of injectate. Continuous catheter methods, anesthetic selection, and volume considerations are also described. Comparative evidence indicates that ultrasound guidance improves accuracy, reduces vascular puncture, and decreases local anesthetic requirements compared with blind or stimulator‐based approaches. Clinical applications across orthopedic surgery, trauma care, and multimodal perioperative pathways are discussed, along with potential complications such as nerve injury, hematoma, systemic toxicity, and quadriceps weakness. Specifically, detailed knowledge of the femoral nerve's course beneath the fascia iliaca, its shifting proximity to the femoral vessels, and its variable early branching is the key to accurate needle placement, dependable block success, and fewer procedure‐related complications.

ABSTRACT Anatomical descriptions of left‐sided oblique coronary branches remain inconsistent, hindering imaging interpretation and surgical planning. To quantify the prevalence, branching patterns and morphometry of the ramus intermedius (RI) and diagonal branches, and propose a unified nomenclature. Following PRISMA guidelines, a PubMed search up to 12 June 2025 yielded 623 records. Forty‐six studies involving 25,602 hearts were included, and random‐effects meta‐analysis was applied to pool prevalence and continuous outcomes. Overall, an additional left‐main branch (RI) was present in 25.2% (95% CI: 8.7–54.5). Trifurcation dominated (22.7%), whereas quadrifurcation and pentafurcation occurred in 3.7% and 1.3% respectively. The pooled RI/diagonal diameter averaged 2.21 mm (95% CI 2.02–2.39), and mean branch length was 49.1 mm (95% CI 37.8–60.5). Methodological heterogeneity was high but consistent patterns emerged across cadaveric and imaging modalities. An oblique “diagonal artery”, whether arising from the left main (RI) or anterior interventricular artery, is present in roughly 25% of hearts, averages 2.2 mm in caliber and extends to 49 mm. Recognizing this vessel family and standardizing the term “diagonal arteries” will improve coronary imaging reporting and guide revascularization strategies.

ABSTRACT Anatomy education is a cornerstone of medical training and relies on cadaveric dissection and 2D illustrations. Technological advancements and integrated curricula have reduced the focus on detailed anatomy and challenged educators to engage Generation Z learners with interactive, tech‐driven methods. Advanced imaging and artificial intelligence (AI) offer a solution, providing virtual dissection simulations and personalized learning tools that mimic 3D anatomy and adapt to individual student needs. Machine learning, a subset of AI, enhances this process by enabling predictive analytics, adaptive feedback, and tailored learning pathways based on performance data, significantly improving anatomical comprehension. Despite its benefits, AI integration raises concerns about over‐reliance on technology, biases, and diminished human interaction in training. This review examines AI's transformative potential in anatomy education while emphasizing the need for balanced implementation and ethical oversight. A systematic review following PRISMA guidelines was conducted, utilizing PubMed and backward citation searches. The search yielded 56 studies, with 47 additional articles from citations, resulting in 61 included studies. These explored AI applications such as virtual dissection simulations, machine learning algorithms for adaptive feedback, and gamified learning experiences, which were shown to enhance engagement, personalize learning, and improve anatomical understanding. Concerns about over‐reliance on AI and the loss of human interaction were also raised. AI has the potential to enhance anatomy education, but careful consideration of ethical and practical implications is essential. A balanced approach combining traditional methods with AI and robust oversight is crucial for effective integration.