Citations

ABSTRACT Background The accuracy of current criteria for ruling out large oesophageal varices (LEV) and other endoscopic lesions of portal hypertension (PH) may be compromised by obesity and MASLD/MASH. Aims In the US multicentre SHUNT‐V study, we evaluated the disease severity index (DSI) for detecting LEV and other lesions of PH at endoscopy. Methods Subjects were adults with compensated cirrhosis scheduled for endoscopy to screen for varices. DSI was calculated from clearances of labelled cholates after oral and intravenous administration. DSI ≤ 18.3 was evaluated as a cut‐off for ruling out LEV with acceptance criteria of negative likelihood ratio < 0.52 and sensitivity > 85%. Results SHUNT‐V enrolled 306 subjects; 275 had both DSI and endoscopy, and 238 had Child–Pugh A cirrhosis (52.1% MASLD/MASH, 25.2% chronic hepatitis C and 15.6% alcoholic liver disease; 87% were overweight, 64% were obese and 54% had diabetes). AUROCs for DSI ranged from 0.81 to 0.82 for LEV and 0.79 to 0.80 for all significant PH lesions. DSI 18.3 had sensitivity 96.3%–100% for LEV and 97.3%–100% for all significant PH lesions. If DSI ≤ 18.3 were used as the sole determinant to defer EGD, 27%–35% of EGDs could have been avoided with 0%–3.7% of LEV and 0%–2.7% of all significant PH lesions missed. Conclusions HepQuant DSI predicts the likelihood of LEV and significant PH lesions across a spectrum of patient characteristics and disease aetiologies. DSI, based on liver function and portal‐systemic shunting, can aid in the decision to defer endoscopy for varices in patients with Child–Pugh A cirrhosis. Trial Registration: The SHUNT‐V study was registered at ClinicalTrials.gov (NCT03583996)

BACKGROUND The articular origin of intraneural ganglion cysts has been previously described and well supported, except for the median nerve at the level of the elbow. OBSERVATIONS The authors present a patient with a median intraneural ganglion cyst at the elbow region and magnetic resonance imaging (MRI) evidence of a joint connection to the proximal radioulnar joint. A 63-year-old man presented with thumb flexion weakness and dysesthesias in the thumb, index, and middle fingers. Electromyography confirmed a median nerve lesion at the elbow. MRI demonstrated a median intraneural cyst as well as an extraneural cyst, both arising from the proximal radioulnar joint. The articular branch between the cyst and the proximal radioulnar joint was identified preoperatively on MRI and intraoperatively using indocyanine green. Following disconnection of the articular branch and pedicle and decompression of the intra- and extraneural cysts, the patient recovered grade M4 motor function after 6 months, with resolution of neuropathic pain immediately after surgery. LESSONS The authors present the first case of a median intraneural cyst with a joint connection to the proximal radioulnar joint. The authors believe that this report along with other historical data strengthens the articular theory for intraneural ganglion cysts not only at this site but at all sites. https://thejns.org/doi/10.3171/CASE24564

Abstract Purpose The purpose of this article is to explore the potential of digital twin technologies in orthopaedics and to evaluate how their integration with artificial intelligence (AI) and deep learning (DL) can improve orthopaedic evaluation and treatment. This review addresses key applications of digital twins, including surgical planning, patient‐specific outcome prediction, augmented reality‐assisted surgery and simulation‐based surgical training. Methods Existing studies on digital twins in various domains, including engineering, biomedical and orthopaedics are reviewed. We also reviewed advancements in AI and DL relevant to digital twins. We focused on identifying key benefits, challenges and future directions for the implementation of digital twins in orthopaedic practice. Results The review highlights that digital twins offer significant potential to revolutionise orthopaedic care by enabling precise surgical planning, real‐time outcome prediction and enhanced training. Digital twins can model patient‐specific anatomy using advanced imaging techniques and dynamically update with real‐time data, providing valuable insights during surgery and postoperative care. However, challenges such as the need for large‐scale data sets, technological limitations and integration issues must be addressed to fully realise these benefits. Conclusion Digital twins represent a promising frontier in orthopaedic research and practice, with the potential to improve patient outcomes and enhance surgical precision. To enable widespread adoption, future research must focus on overcoming current challenges and further refining the integration of digital twins with AI and DL technologies. Level of Evidence Level V.

AbstractPurposeTo systematically review the literature regarding machine learning in leg length discrepancy (LLD) and to provide insight into the most relevant manuscripts on this topic in order to highlight the importance and future clinical implications of machine learning in the diagnosis and treatment of LLD.MethodsA systematic electronic search was conducted using PubMed, OVID/Medline and Cochrane libraries in accordance with Preferred Reporting Items for Systematic Review and Meta‐Analysis guidelines. Two observers independently screened the abstracts and titles of potential articles.ResultsA total of six studies were identified in the search. All measurements were calculated using standardized anterior‐posterior long‐leg radiographs. Five (83.3%) of the studies used measurements of the femoral length, tibial length and leg length to assess LLD, whereas one (16.6%) study used the iliac crest height difference to quantify LLD. The deep learning models showed excellent reliability in predicting all length measurements with intraclass correlation coefficients ranging from 0.98 to 1.0 and mean absolute error (MAE) values ranging from 0.11 to 0.45 cm. Three studies reported measurements of LLD, and the convolutional neural network model showed the lowest MAE of 0.13 cm in predicting LLD.ConclusionsMachine learning models are effective and efficient in determining LLD. Implementation of these models may reduce cost, improve efficiency and lead to better overall patient outcomes.Clinical RelevanceThis review highlights the potential of deep learning (DL) algorithms for accurate and reliable measurement of lower limb length and leg length discrepancy (LLD) on long‐leg radiographs. The reported mean absolute error and intraclass correlation coefficient values indicate that the performance of the DL models was comparable to that of radiologists, suggesting that DL‐based assessments could potentially be used to automate the measurement of lower limb length and LLD in clinical practice.Level of EvidenceLevel IV.

AimsDistal femoral osteotomies (DFOs) are commonly used for the correction of valgus deformities and lateral compartment osteoarthritis. However, the impact of a DFO on subsequent total knee arthroplasty (TKA) function remains a subject of debate. Therefore, the purpose of this study was to determine the effect of a unilateral DFO on subsequent TKA function in patients with bilateral TKAs, using the contralateral knee as a self-matched control group.MethodsThe inclusion criteria consisted of patients who underwent simultaneous or staged bilateral TKA after prior unilateral DFO between 1972 and 2023. The type of osteotomy performed, osteotomy hardware fixation, implanted TKA components, and revision rates were recorded. Postoperative outcomes including the Forgotten Joint Score-12 (FJS-12), Tegner Activity Scale score, and subjective knee preference were also obtained at final follow-up.ResultsA total of 21 patients underwent bilateral TKA following unilateral DFO and were followed for a mean of 31.5 years (SD 11.1; 20.2 to 74.2) after DFO. The mean time from DFO to TKA conversion was 13.1 years (SD 9.7) with 13 (61.9%) of DFO knees converting to TKA more than ten years after DFO. There was no difference in arthroplasty implant systems employed in both the DFO-TKA and TKA-only knees (p > 0.999). At final follow-up, the mean FJS-12 of the DFO-TKA knee was 62.7 (SD 36.6), while for the TKA-only knee it was 65.6 (SD 34.7) (p = 0.328). In all, 80% of patients had no subjective knee preference or preferred their DFO-TKA knee. Three DFO-TKA knees and two TKA-only knees underwent subsequent revision following index arthroplasty at a mean of 12.8 years (SD 6.9) and 8.5 years (SD 3.8), respectively (p > 0.999).ConclusionIn this self-matched study, DFOs did not affect subsequent TKA function as clinical outcomes, subjective knee preference, and revision rates were similar in both the DFO-TKA and TKA-only knees at mean 32-year follow-up.Cite this article: Bone Jt Open 2024;5(11):1013–1019.

Abstract This study reports the first pig-to-human lung xenotransplantation using a six gene-edited pig lung. A left lung from a gene-edited Chinese Bama Xiang pig was transplanted into a 39-year-old brain-dead human recipient. The xenograft maintained viability and functionality for 216 hours without signs of hyperacute rejection. Postoperatively, severe edema resembling primary graft dysfunction (PGD) was observed, potentially due to ischemia-reperfusion injury. Antibody-mediated rejection appeared to contribute to xenograft damage on postoperative days 3 and 6, with partial recovery by day 9 under the current immunosuppressive regimen. This pioneering study suggests that genetically modified pig lungs could potentially be used for future clinical applications in xenotransplantation.

Context.— Cardiac and pulmonary allograft recipients represent a unique population, frequently interacting with support groups and exhibiting intense curiosity about their pathology. Like other solid organ transplant patients, they have enduring and frequent interaction with the laboratory for routine allograft surveillance. Objective.— To address patient requests to understand what happens to their explanted organ and to better understand their disease while simultaneously improving awareness of pathologists’ roles in their continuing care. Design.— At routine follow-up appointments, transplant nurse coordinators offer each allograft recipient the opportunity to interact with a pathologist in our “ On My Path ” program. Organ viewing occurs in a private setting, in a specialized room. Relevant pathology is discussed, and questions are answered, with documentation in the medical record. The patient is subsequently gifted a 3-dimensional model of their explanted organ. Transplant coordinators were surveyed for their feedback on the experience. Results.— One hundred fifty-eight interactions have been documented (2017–2022) at our institution, including patients who underwent cardiac transplant (96, 61%), single or bilateral lung transplant (54, 34%), or combination lung and heart transplant (8, 5%). Transplant coordinators reported an increase in patient understanding of their disease and emotional closure related to the disease through the On My Path program. Conclusions.— Pathologists providing direct patient care is a feasible model that addresses currently unmet desires of the transplant population to better understand their pathology. Providing a 3-dimensional model helps to empower patients and drives satisfaction. These interactions also improve awareness about pathology as a discipline and its importance in the continued care of transplant recipients.

AbstractBackgroundIsolated limb infusion and perfusion (ILI/ILP) has been a mainstay treatment for unresectable melanoma in‐transit metastases (ITM), but increased use of immune checkpoint inhibitors (ICI) and intralesional therapy (talimogene laherparepvec [TVEC]) introduced several different management options. This study compares first‐line ILI/ILP, ICI, and TVEC.MethodsRetrospective review from 12 international institutions included patients treated from 1990 to 2022 with first‐line ILI/ILP, ICI, or TVEC for unresectable melanoma ITM.ResultsA total of 551 patients were treated, with ILI/ILP (n = 356), ICI (n = 125), and TVEC (n = 70) with median follow‐up of 5.5 years. Tumor burden was highest with ILI/ILP and lowest with TVEC (p = .002). Breslow thickness was lowest with TVEC (p = .007). TVEC was mostly used in stage IIIB disease versus IIIC for ILI/ILP and ICI (p = .01). Using ICI as the reference category, TVEC had the highest odds of a complete response (CR) (odds ratio, 1.96; p = .029) and a longer local progression‐free survival (PFS) (hazard ratio [HR], 0.40; p = .003). ILI/ILP had shorter local PFS (HR, 1.72; p = .012), PFS (HR, 1.79; p < .001), distant metastasis‐free survival (DMFS) (HR, 1.75; p = .014), overall survival (HR, 1.82; p = .009), and melanoma‐specific survival (HR, 2.29; p = .004). Stage IIIB disease had longer DMFS (HR, 0.24; p < .001) compared to IIIC/D.ConclusionsTVEC as first‐line therapy for unresectable melanoma ITM was associated with superior CR rates and local PFS. Notably, TVEC was used in patients with a lower Breslow thickness, disease stage, and tumor burden. Therefore, when compared to ILI/ILP and ICI, TVEC should be considered as first‐line therapy for unresectable stage IIIB melanoma ITM with minimal tumor burden and lower Breslow thickness.