Effectiveness of Conventional Digital Fundus Photography-Based Teleretinal Screening for Diabetic Retinopathy and Diabetic Macular Edema: A Report by the American Academy of Ophthalmology.

PURPOSE: This American Academy of Ophthalmology Ophthalmic Technology Assessment aims to assess the effectiveness of conventional teleretinal screening (TS) in detecting diabetic retinopathy (DR) and diabetic macular edema (DME). METHODS: A literature search of the PubMed database was conducted most recently in July 2023 to identify data published between 2006 and 2023 on any of the following elements related to TS effectiveness: (1) the accuracy of TS in detecting DR or DME compared with traditional ophthalmic screening with dilated fundus examination or 7-standard field Early Treatment Diabetic Retinopathy Study photography, (2) the impact of TS on DR screening compliance rates or other patient behaviors, and (3) cost-effectiveness and patient satisfaction of TS compared with traditional DR screening. Identified studies then were rated based on the Oxford Centre for Evidence-Based Medicine grading system. RESULTS: Eight level I studies, 14 level II studies, and 2 level III studies were identified in total. Although cross-study comparison is challenging because of differences in reference standards and grading methods, TS demonstrated acceptable sensitivity and good specificity in detecting DR; moderate to good agreement between TS and reference-standard DR grading was observed. Performance of TS was not as robust in detecting DME, although the number of studies evaluating DME specifically was limited. Two level I studies, 5 level II studies, and 1 level III study supported that TS had a positive impact on overall DR screening compliance, even increasing it by more than 2-fold in one study. Studies assessing cost-effectiveness and patient satisfaction were not graded formally, but they generally showed that TS was cost-effective and preferred by patients over traditional surveillance. CONCLUSIONS: Conventional TS is an effective approach to DR screening not only for its accuracy in detecting referable-level disease, but also for improving screening compliance in a cost-effective manner that may be preferred by patients. Further research is needed to elucidate the ideal approach of TS that may involve integration of artificial intelligence or other imaging technologies in the future. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

A balance of clinical assessment and use of diagnostic imaging: A CT colonography comparative case report.

Computer tomography colonography (CTC) is a non-invasive procedure which has replaced barium enema. CTC uses helical images of a cleansed and gas-distended colon for the diagnosis and treatment of colonic neoplasms. This case study compares 2 patients: one with positive pathology (patient A) and another as comparator (patient B) with a similar pathology to discuss and debate possible treatment pathways. Patient (A) CTC showed 2 polyps: 6 mm and 10 mm, which the colorectal surgeons thought only needed follow-up. Our comparator (patient B) displayed a similar pathology which measured 9 mm. In this case (patient B), there was mutual agreement with the surgeons for polypectomy but without haematology involvement which was atypical of the usual pathway. The surgeons did not see the 9 mm polyp at polypectomy which could be due to observer error or radiology reporter error. Given that conventional colonoscopy is more sensitive in detecting polyps; a repeat of both tests could confirm the presence of polyp, however, the surgeons gave patient (B) a virtual appointment and requested a repeat CTC in 12 months. In colorectal medicine there can be variations in the treatment of patients with polyps. While a repeat of both tests could confirm the presence of polyp in patient (B), the surgeons' decisions regarding the patient's treatment reflected a balance of confidence in clinical assessment and use of diagnostic imaging which can reduce unnecessary requests and use of diagnostic tests.

Cost of upper tract imaging obtained during hematuria evaluation: Analysis of a national claims database.

INTRODUCTION: To investigate the actual cost of hematuria evaluation using nationally representative claims data, given that the workup for hematuria burdens the healthcare system with significant associated costs. We hypothesized that evaluation with contrast-enhanced computed tomography (CT) confers more cost to hematuria evaluation than renal ultrasound (US). METHODS: Using a national, privately insured database (MarketScan), we identified all individuals with an incident diagnosis of hematuria. We included patients who underwent cystoscopy and upper tract imaging within 3 months of diagnosis. We tabulated the costs of the imaging study as well as the total healthcare cost per patient. A multivariable model was developed to evaluate patient factors associated with total healthcare costs. RESULTS: We identified 318,680 patients with hematuria who underwent evaluation. Median costs associated with upper tract imaging were $362 overall, $504 for CT with contrast, $163 for US, $680 for magnetic resonance imaging (MRI), $283 for CT without contrast, and $294 for retrograde pyelogram. Median cystoscopy cost was $283. Total healthcare costs per patient were highest when utilizing MRI and CT imaging. When adjusted for comorbidities, the use of any imaging other than ultrasound was associated with higher costs. CONCLUSIONS: In this nationally representative analysis, hematuria evaluation confers a significant cost burden, while the primary factor associated with higher costs of screening was imaging type. Based upon reduced cost of US-based strategies, further investigation should delineate its cost-effectiveness in the diagnosis of urological disease.

Advancing Pediatric Sarcomas through Radiomics: A Systematic Review and Prospective Assessment Using Radiomics Quality Score (RQS) and Methodological Radiomics Score (METRICS).

Pediatric sarcomas, rare malignancies of mesenchymal origin, pose diagnostic and therapeutic challenges. In this review, we explore the role of radiomics in reshaping our understanding of pediatric sarcomas, emphasizing methodological considerations and applications such as diagnostics and predictive modeling. A systematic review conducted up to November 2023 identified 72 papers on radiomics analysis in pediatric sarcoma from PubMed/MEDLINE, Web of Knowledge, and Scopus. Following inclusion and exclusion criteria, 10 reports were included in this review. The studies, predominantly retrospective, focus on Ewing sarcoma and osteosarcoma, utilizing diverse imaging modalities, including CT, MRI, PET/CT, and PET/MRI. Manual segmentation is common, with a median of 35 features extracted. Radiomics Quality Score (RQS) and Methodological Radiomics Score (METRICS) assessments reveal a consistent emphasis on non-radiomic features, validation criteria, and improved methodological rigor in recent publications. Diagnostic applications dominate, with innovative studies exploring prognostic and treatment response aspects. Challenges include feature heterogeneity and sample size variations. The evolving landscape underscores the need for standardized methodologies. Despite challenges, the diagnostic and predictive potential of radiomics in pediatric oncology is evident, paving the way for precision medicine advancements.

Assessment of the root and canal morphology in the permanent dentition of Saudi Arabian population using cone beam computed and micro-computed tomography - a systematic review.

INTRODUCTION: Root canal treatment procedures require a thorough understanding of root and canal anatomy. The purpose of this systematic review was to examine the morphological differences of teeth root and their canals assessed using cone-beam computed and micro-computed tomography in Saudi Arabian population. METHODOLOGY: An electronic search was conducted in PubMed / Medline, Scopus, Google Scholar, and Web of Science databases until January 2023 to retrieve related studies. "Root canal morphology," "Saudi Arabia," "Micro-CT," and "cone-beam computed tomography" were used as keywords. A modified version of previously published risk of bias assessment tool was used to determine the quality assessment of included studies. RESULTS: The literature search revealed 47 studies that matched the criteria for inclusion, out of which 44 studies used cone beam computed tomography (CBCT) and three were micro-computed tomography (micro-CT) studies. According to the modified version of risk of bias assessment tool, the studies were categorized as low, moderate, and high risk of bias. A total of 47,612 samples were included which comprised of either maxillary teeth (5,412), or mandibular teeth (20,572), and mixed teeth (21,327). 265 samples were used in micro-CT studies while 47,347 teeth samples were used in CBCT studies. Among the CBCT studies, except for three, all the studies were retrospective studies. Frequently used imaging machine and software were 3D Accuitomo 170 and Morita's i-Dixel 3D imaging software respectively. Minimum and maximum voxel sizes were 75 and 300 µm, Vertucci's classification was mostly used to classify the root canal morphology of the teeth. The included micro-CT studies were in-vitro studies where SkyScan 1172 X-ray scanner was the imaging machine with pixel size ranging between 13.4 and 27.4 µm. Vertucci, Ahmed et al. and Pomeranz et al. classifications were applied to classify the root canal morphology. CONCLUSION: This systematic review revealed wide variations in root and canal morphology of Saudi population using high resolution imaging techniques. Clinicians should be aware of the common and unusual root and canal anatomy before commencing root canal treatment. Future micro-CT studies are needed to provide additional qualitative and quantitative data presentations.

Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla.

Purpose: The objective of this study was to implement a 5-minute MRI protocol for the shoulder in routine clinical practice consisting of accelerated 2D turbo spin echo (TSE) sequences with deep learning (DL) reconstruction at 1.5 and 3 Tesla, and to compare the image quality and diagnostic performance to that of a standard 2D TSE protocol. Methods: Patients undergoing shoulder MRI between October 2020 and June 2021 were prospectively enrolled. Each patient underwent two MRI examinations: first a standard, fully sampled TSE (TSES) protocol reconstructed with a standard reconstruction followed by a second fast, prospectively undersampled TSE protocol with a conventional parallel imaging undersampling pattern reconstructed with a DL reconstruction (TSEDL). Image quality and visualization of anatomic structures as well as diagnostic performance with respect to shoulder lesions were assessed using a 5-point Likert-scale (5 = best). Interchangeability analysis, Wilcoxon signed-rank test and kappa statistics were performed to compare the two protocols. Results: A total of 30 participants was included (mean age 50±15 years; 15 men). Overall image quality was evaluated to be superior in TSEDL versus TSES (p<0.001). Noise and edge sharpness were evaluated to be significantly superior in TSEDL versus TSES (noise: p<0.001, edge sharpness: p<0.05). No difference was found concerning qualitative diagnostic confidence, assessability of anatomical structures (p>0.05), and quantitative diagnostic performance for shoulder lesions when comparing the two sequences. Conclusions: A fast 5-minute TSEDL MRI protocol of the shoulder is feasible in routine clinical practice at 1.5 and 3 T, with interchangeable results concerning the diagnostic performance, allowing a reduction in scan time of more than 50% compared to the standard TSES protocol.

Assessment of pelvic organ prolapse with the Pelvic Inclination Correction System: defining the normal range and threshold to pathology.

PURPOSE: To define the normal range and threshold values for pathologic prolapse on MRI using the PICS line and assess its correlation with the pubococcygeal line (PCL). METHODS: This prospective, IRB-approved study included 20 nulliparous volunteers and 18 prolapse patients (POP-Q Stage ≥ 2). Organ positions (bladder, cervix, anorectal junction) relative to PICS and PCL were measured on dynamic MRI. Differences in organ position were compared. Receiver-operating characteristic (ROC) analysis was performed to identify cutoff values for prolapse using the PICS line. The correlation between PICS and PCL measurements was tested with Spearman's rank correlation. RESULTS: In volunteers, median bladder and cervix positions measured to the PICS at rest were - 2.7 cm and - 5.3 cm compared to - 1.9 cm and - 2.7 cm in patients (p < 0.001). During straining, bladder and cervix were at - 0.9 cm and - 3.2 cm in volunteers versus + 2.5 cm and + 2.5 cm in patients (p < 0.001). Correlation was strong for PICS and PCL measurements for all three compartments (δ = 0.883-0.970, p ≤ 0.001). AUCs of PICS for the anterior and middle compartment were 0.98 (95% confidence interval [CI] 0.96-1.00, p < 0.001) and 0.96 (95% CI 0.89-1.00, p < 0.001) for differentiating patients from healthy volunteers. AUC for the posterior compartment was 0.76 (95% CI 0.57-0.96, p = 0.034). CONCLUSION: PICS measurements reliably differentiate patients from volunteers in the anterior and middle compartment. Future studies need to identify a reliable threshold for the posterior compartment. PICS and PCL measurements are strongly correlated.

Machine Learning and Bias in Medical Imaging: Opportunities and Challenges.

Bias in health care has been well documented and results in disparate and worsened outcomes for at-risk groups. Medical imaging plays a critical role in facilitating patient diagnoses but involves multiple sources of bias including factors related to access to imaging modalities, acquisition of images, and assessment (ie, interpretation) of imaging data. Machine learning (ML) applied to diagnostic imaging has demonstrated the potential to improve the quality of imaging-based diagnosis and the precision of measuring imaging-based traits. Algorithms can leverage subtle information not visible to the human eye to detect underdiagnosed conditions or derive new disease phenotypes by linking imaging features with clinical outcomes, all while mitigating cognitive bias in interpretation. Importantly, however, the application of ML to diagnostic imaging has the potential to either reduce or propagate bias. Understanding the potential gain as well as the potential risks requires an understanding of how and what ML models learn. Common risks of propagating bias can arise from unbalanced training, suboptimal architecture design or selection, and uneven application of models. Notwithstanding these risks, ML may yet be applied to improve gain from imaging across all 3A's (access, acquisition, and assessment) for all patients. In this review, we present a framework for understanding the balance of opportunities and challenges for minimizing bias in medical imaging, how ML may improve current approaches to imaging, and what specific design considerations should be made as part of efforts to maximize the quality of health care for all.

Bone age assessment based on three-dimensional ultrasound and artificial intelligence compared with paediatrician-read radiographic bone age: protocol for a prospective, diagnostic accuracy study.

INTRODUCTION: Radiographic bone age (BA) assessment is widely used to evaluate children's growth disorders and predict their future height. Moreover, children are more sensitive and vulnerable to X-ray radiation exposure than adults. The purpose of this study is to develop a new, safer, radiation-free BA assessment method for children by using three-dimensional ultrasound (3D-US) and artificial intelligence (AI), and to test the diagnostic accuracy and reliability of this method. METHODS AND ANALYSIS: This is a prospective, observational study. All participants will be recruited through Paediatric Growth and Development Clinic. All participants will receive left hand 3D-US and X-ray examination at the Shanghai Sixth People's Hospital on the same day, all images will be recorded. These image related data will be collected and randomly divided into training set (80% of all) and test set (20% of all). The training set will be used to establish a cascade network of 3D-US skeletal image segmentation and BA prediction model to achieve end-to-end prediction of image to BA. The test set will be used to evaluate the accuracy of AI BA model of 3D-US. We have developed a new ultrasonic scanning device, which can be proposed to automatic 3D-US scanning of hands. AI algorithms, such as convolutional neural network, will be used to identify and segment the skeletal structures in the hand 3D-US images. We will achieve automatic segmentation of hand skeletal 3D-US images, establish BA prediction model of 3D-US, and test the accuracy of the prediction model. ETHICS AND DISSEMINATION: The Ethics Committee of Shanghai Sixth People's Hospital approved this study. The approval number is 2022-019. A written informed consent will be obtained from their parent or guardian of each participant. Final results will be published in peer-reviewed journals and presented at national and international conferences. TRIAL REGISTRATION NUMBER: ChiCTR2200057236.

Study protocol for FASTRAK: a randomised controlled trial evaluating the cost impact and effectiveness of FAST-MRI for HCC suRveillance in pAtients with high risK of liver cancer.

INTRODUCTION: The surveillance of hepatocellular carcinoma (HCC) using semi-annual liver ultrasound (US) is justified in patients with cirrhosis. In this context, US has a low sensitivity (<30%) for the detection of HCC at the very early stage (ie, Barcelona clinic liver cancer (BCLC) 0, uninodular tumour <2 cm). The sensitivity of abbreviated liver MRI (AMRI) is reported to exceed 80%, but its use is hampered by costs and availability. Our hypothesis is that AMRI used as a screening examination in patients at high risk of HCC (>3% per year) could increase the rates of patients with a tumour detected at an early stage accessible to curative-intent treatment, and demonstrate its cost-effectiveness in this population. METHODS AND ANALYSIS: The FASTRAK trial is a multicentre, randomised controlled trial with two parallel arms, aiming for superiority and conducted on patients at high risk for HCC (yearly HCC incidence >3%). Randomisation will be conducted on an individual basis with a centralised approach and stratification by centre. After inclusion in the trial, each patient will be randomly assigned to the experimental group (semi-annual US and AMRI) or the control group (semi-annual US alone). The main objective is to assess the cost/quality-adjusted life year and cost/patient detected with a BCLC 0 HCC in both arms. A total of 944 patients will be recruited in 37 tertiary French centres during a 36-month period and will be followed-up during 36 months. ETHICS AND DISSEMINATION: The FASTRAK trial received ethical approval on 4 April 2022. Results will be disseminated via publication in peer-reviewed journals as well as presentation at international conferences. TRIAL REGISTRATION NUMBER: Clinical trial number (ClinicaTrials.gov) NCT05095714.

Computed tomography/magnetic resonance imaging for mandibular boundary invasion of oral squamous cell carcinoma assessment.

BACKGROUND: The range of mandibular invasion by a tumour needs to be determined accurately to minimize unnecessary damage to the mandible. This study aimed to compare tumour boundary lines on computed tomography/magnetic resonance (CT/MR) images with those from pathological findings during the preoperative assessment of mandibular invasion by oral squamous cell carcinoma (OSCC). By comparing the methods, the potential of CT/MR for this application could be further elucidated. METHODS: Eight patients with OSCC were imaged with CT/MR, mandibular specimens were collected, and the material site was measured. Haematoxylin-eosin staining was used for histopathological assessment. The presence and boundaries of bone invasion were evaluated. The CT/MR and histopathological boundaries of bone invasion were delineated and merged to compare and calculate the deviation of CT/MR and histopathological boundaries using the Fréchet distance. RESULTS: The mean Fréchet distance between the CT and pathological tumour boundaries was 2.69 mm (standard error 0.46 mm), with a minimum of 1.18 mm, maximum of 3.64 mm, median of 3.10 mm, and 95% confidence interval of 1.40-3.97 mm. The mean Fréchet distance between the tumour boundaries on the MR and pathological images was 3.07 mm (standard error 0.56 mm), with a minimum of 1.53 mm, maximum of 4.74 mm, median of 2.90 mm, and 95% confidence interval of 1.53-4.61 mm. CONCLUSIONS: CT/MR imaging can provide an effective preoperative assessment of mandibular invasion of OSCC. Pathology images can be positioned on CT/MR scans with the help of computer software to improve the accuracy of the findings. The introduction of the Fréchet distance to compare tumour boundary lines is conducive to computer image diagnosis of tumour invasion of jaw boundaries.

How do hospitals respond to payment unbundling for diagnostic imaging of suspected cancer patients?

Payments for some diagnostic scans undertaken in outpatient settings were unbundled from Diagnosis Related Group based payments in England in April 2013 to address under-provision. Unbundled scans attracted additional payments of between £45 and £748 directly following the reform. We examined the effect on utilization of these scans for patients with suspected cancer. We also explored whether any detected effects represented real increases in use of scans or better coding of activity. We applied difference-in-differences regression to patient-level data from Hospital Episodes Statistics for 180 NHS hospital Trusts in England, between April 2010 and March 2018. We also explored heterogeneity in recorded use of scans before and after the unbundling at hospital Trust-level. Use of scans increased by 0.137 scans per patient following unbundling, a 134% relative increase. This increased annual national provider payments by £79.2 million. Over 15% of scans recorded after the unbundling were at providers that previously recorded no scans, suggesting some of the observed increase in activity reflected previous under-coding. Hospitals recorded substantial increases in diagnostic imaging for suspected cancer in response to payment unbundling. Results suggest that the reform also encouraged improvements in recording, so the real increase in testing is likely lower than detected.

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.

BACKGROUNDThe tumor immune microenvironment can provide prognostic and therapeutic information. We aimed to develop noninvasive imaging biomarkers from computed tomography (CT) for comprehensive evaluation of immune context and investigate their associations with prognosis and immunotherapy response in gastric cancer (GC).METHODSThis study involved 2,600 patients with GC from 9 independent cohorts. We developed and validated 2 CT imaging biomarkers (lymphoid radiomics score [LRS] and myeloid radiomics score [MRS]) for evaluating the IHC-derived lymphoid and myeloid immune context respectively, and integrated them into a combined imaging biomarker [LRS/MRS: low(-) or high(+)] with 4 radiomics immune subtypes: 1 (-/-), 2 (+/-), 3 (-/+), and 4 (+/+). We further evaluated the imaging biomarkers' predictive values on prognosis and immunotherapy response.RESULTSThe developed imaging biomarkers (LRS and MRS) had a high accuracy in predicting lymphoid (AUC range: 0.765-0.773) and myeloid (AUC range: 0.736-0.750) immune context. Further, similar to the IHC-derived immune context, 2 imaging biomarkers (HR range: 0.240-0.761 for LRS; 1.301-4.012 for MRS) and the combined biomarker were independent predictors for disease-free and overall survival in the training and all validation cohorts (all P < 0.05). Additionally, patients with high LRS or low MRS may benefit more from immunotherapy (P < 0.001). Further, a highly heterogeneous outcome on objective response ​rate was observed in 4 imaging subtypes: 1 (-/-) with 27.3%, 2 (+/-) with 53.3%, 3 (-/+) with 10.2%, and 4 (+/+) with 30.0% (P < 0.0001).CONCLUSIONThe noninvasive imaging biomarkers could accurately evaluate the immune context and provide information regarding prognosis and immunotherapy for GC.

Applications of artificial intelligence in gastroscopy: a narrative review.

Gastroscopy, a critical tool for the diagnosis of upper gastrointestinal diseases, has recently incorporated artificial intelligence (AI) technology to alleviate the challenges involved in endoscopic diagnosis of some lesions, thereby enhancing diagnostic accuracy. This narrative review covers the current status of research concerning various applications of AI technology to gastroscopy, then discusses future research directions. By providing this review, we hope to promote the integration of gastroscopy and AI technology, with long-term clinical applications that can assist patients.

Use of coronarycomputed tomography for cardiovascular risk assessment in immune-mediated inflammatory diseases.

Immune-mediated inflammatory diseases (IMIDs) are recognised risk factors for accelerated atherosclerotic cardiovascular disease (CVD), particularly in younger individuals and women who lack traditional CVD risk factors. Reflective of the critical role that inflammation plays in the formation, progression and rupture of atherosclerotic plaques, research into immune mechanisms of CVD has led to the identification of a range of therapeutic targets that are the subject of ongoing clinical trials. Several key inflammatory pathways implicated in the pathogenesis of atherosclerosis are targeted in people with IMIDs. However, cardiovascular risk continues to be systematically underestimated by conventional risk assessment tools in the IMID population, resulting in considerable excess CVD burden and mortality. Hence, there is a pressing need to improve methods for CVD risk-stratification among patients with IMIDs, to better guide the use of statins and other prognostic interventions. CT coronary angiography (CTCA) is the current first-line investigation for diagnosing and assessing the severity of coronary atherosclerosis in many individuals with suspected angina. Whether CTCA is also useful in the general population for reclassifying asymptomatic individuals and improving long-term prognosis remains unknown. However, in the context of IMIDs, it is conceivable that the information provided by CTCA, including state-of-the-art assessments of coronary plaque, could be an important clinical adjunct in this high-risk patient population. This narrative review discusses the current literature about the use of coronary CT for CVD risk-stratification in three of the most common IMIDs including rheumatoid arthritis, psoriasis and systemic lupus erythematosus.

Assessing quality of magnetic resonance enterography and its impact on disease assessment of ileal Crohn's disease.

BACKGROUND/AIMS: Assessment of quality of magnetic resonance enterography (MRE) in small bowel Crohn's disease (CD) activity evaluation has received little attention. We assessed the impact of bowel distention and motion artifact on MRE activity indices in ileal CD. METHODS: A cohort of patients who underwent contemporaneous MRE and colonoscopy for ileal CD assessment between 2014 and 2021 at 2 centers were audited. An abdominal radiologist blinded to clinical data reviewed each MRE, graded bowel distention and motion artifact upon a pre-specified 3-point scale and calculated the original magnetic resonance index of activity (MaRIA) and simplified MaRIA (sMaRIA), London index and CD MRE index (CDMI). Ileal endoscopic activity was graded via the Simplified Endoscopy Score for CD (SES-CD). The performance of MRE indices in discriminating active disease (SES-CD ≥3) stratified by MRE quality was measured by receiver operator characteristic analyses. RESULTS: One hundred and thirty-seven patients had MRE and colonoscopy within a median of 16 days (range, 0-30 days) with 63 (46%) exhibiting active disease (SES-CD ≥3). Forty-four MREs (32%) were deemed low quality due to motion artifact and/or moderate to poor distention. Low-quality MREs demonstrated reduced discriminative performance between ileal SES-CD ≥3 and MRE indices (MaRIA 0.838 vs. 0.634, sMaRIA 0.834 vs. 0.527, CDMI 0.850 vs. 0.595, London 0.748 vs. 0.511, P<0.05 for all). Individually the presence of any motion artifact markedly impacted the discriminative performance (e.g., sMaRIA area under the curve 0.544 vs. 0.814, P<0.05). CONCLUSIONS: Image quality parameters can significantly impact MRE disease activity interpretation. Quality metrics should be reported, enabling cautious interpretation in lower-quality studies.

MSK Diagnostic Ultrasound for the Assessment of the Acromioclavicular Joint.

The acromioclavicular joint (ACJ), a key element in shoulder movement and stability, is prone to various injuries such as sprains, dislocations, and osteoarthritis, typically resulting from physical trauma or wear and tear. Accurate and timely diagnosis is paramount for effective treatment and rehabilitation. Musculoskeletal (MSK) ultrasound has emerged as a pivotal diagnostic tool due to its ability to visualize soft tissues and provide real-time imaging. This non-invasive tool is also invaluable for monitoring healing progress and the evolution of osteoarthritic changes. This article reviews the application of MSK ultrasound in the evaluation of ACJ injuries, highlighting its advantages, specific applications, and recent technological advancements that enhance its diagnostic capabilities.

Evaluación de la agudeza diagnóstica de la Ecografía Translaríngea Transcutánea (ETLTC) en la valoración de la movilidad de las cuerdas vocales en cirugía de tiroides y paratiroides / Evaluation of the diagnostic acuity of the Transcutaneous Translaryngeal Ultrasound (TCTLUS) in the assessment of the vocal cords mobility in thyroid and parathyroid surgery

Introducción. La evaluación de la movilidad de las cuerdas vocales en cirugía de tiroides y paratiroides hace parte de la adecuada valoración integral. Aunque la laringoscopia directa es prueba de referencia, su uso real no es rutinario por lo que se propone la ecografía translaríngea como alternativa de evaluación. Métodos. Estudio prospectivo de evaluación de una prueba diagnóstica de la movilidad de las cuerdas vocales pre y posoperatoria, comparando la ecografía translaríngea con la video laringoscopia, en pacientes con cirugía de tiroides y paratiroides, de febrero 1° a noviembre 30 de 2022. Se describieron las variables usando frecuencias absolutas y relativas. En el análisis univariado se calcularon Chi cuadrado y T de Student y en el bivariado, regresión logística binaria. La agudeza diagnóstica se determinó con sensibilidad, especificidad y valores predictivos; se consideró la significancia estadística con p < 0,05. Resultados. Se incluyeron 267 pacientes, 219 mujeres y 48 hombres; 196 pacientes (73,4%) tenían malignidad. Se encontró en el preoperatorio, sensibilidad 100 %, especificidad 99,6 %, VPP 83,3 %, VPN 100 %, odds de probabilidad positiva 83 % y Odds de probabilidad negativa 0,004 %. En el posoperatorio, sensibilidad 82,8 %, especificidad 99,2 %, VPP 92,3 % VPN 97,9 %, odds de probabilidad positiva 92 % y odds de probabilidad negativa 0,2 %. Conclusiones. La ecografía translaríngea en nuestro medio tiene alta agudeza diagnóstica. Podría ser usada en el abordaje inicial de la evaluación de la movilidad de las cuerdas vocales y reemplazar la laringoscopia directa, dejando ésta para cuando la visualización ecográfica no sea adecuada, o en casos de afectación o sospecha de invasión, para su confirmación.

Introduction. The evaluation of the mobility of the vocal cords in thyroid and parathyroid surgery is part of the adequate comprehensive assessment. Altough, direct laryngoscopy is the gold standard, its real use is not routine, so translaryngeal ultrasound approach is proposed as an alternative. Methods. A prospective diagnostic test study was carried out to evaluate the translaryngeal ultrasound compared with video laryngoscopy in visualizing vocal mobility in patients with thyroid and parathyroid surgery from February 1 to November 30, 2022. Patients were described using absolute and relative frequencies. Univariate statistical analysis with Chi-square and Student's t tests. T. Bivariate analysis using binary logistic regression. Diagnostic acuity was calculated with sensitivity, specificity, PPV, NPV. Statistical significance with p< 0.05, 95% confidence interval. Results. 267 patients undergoing thyroid or parathyroid surgery were included, 219 women and 48 men. Malignant: thyroid neoplasm 196 patients (73.4%). The findings were for the preoperative period, 100% sensitivity, 99.6% specificity, PPV 83.33%, NPV 100%, 83% positive probability odds, and 0.004% negative probability odds. For the postoperative period, 82.8% sensitivity, 99.2% specificity, 92.3% PPV, 97.9% NPV, 92% positive probability odds, and 0.2% negative probability odds were found.Conclusions. Translaryngeal ultrasound in our series has high diagnostic acuity. It could be used as the initial approach to evaluate vocal mobility and might replace direct laryngoscopy, leaving it when its visualization is not adequate or in cases of involvement or suspected invasion for confirmation.

What is the diagnostic accuracy of fluorescence-guided surgery for margin assessment in appendicular bone and soft tissue tumors? - A systematic review of clinical studies.

BACKGROUND: Fluorescence-guided surgery (FGS) is a novel technique to successfully assess surgical margins intraoperatively. Investigation and adoption of this technique in orthopaedic oncology remains limited. METHODS: The PRISMA guidelines were followed for this manuscript. Our study was registered on PROSPERO (380520). Studies describing the use of FGS for resection of bone and soft tissue sarcomas (STS) on humans were included. Diagnostic performance metrics (sensitivity, specificity, positive predictive value [PPV], negative predictive value [NPV] and accuracy) and margin positivity rate were the outcomes assessed. RESULTS: Critical appraisal using the Joanna Brigs Institute checklists showed significant concerns for study quality. Sensitivity of FGS ranged from 22.2 % to 100 % in three of the four studies assessing his metrics; one study in appendicular tumors in the pediatric population reported 0 % sensitivity in the three cases included. Specificity ranged from 9.38 % to 100 %. PPV ranged from 14.6 % to 70 % while NPV was between 53.3 % and 100 %. The diagnostic accuracy ranged from 21.62 % to 92.31 %. Margin positivity rate ranged from 2 % to 50 %, with six of the seven studies reporting values between 20 % and 50 %. CONCLUSIONS: FSG is a feasible technique to assess tumor margins in bone and STS. Reported performance metrics and margin positivity rates vary widely between studies due to low study quality and high heterogeneity in dying protocols. LEVEL OF EVIDENCE: Level III, diagnostic study.