Artificial intelligence to automate assessment of ocular and periocular measurements.

PURPOSE: To develop and validate a deep learning facial landmark detection network to automate the assessment of periocular anthropometric measurements. METHODS: Patients presenting to the ophthalmology clinic were prospectively enrolled and had their images taken using a standardised protocol. Facial landmarks were segmented on the images to enable calculation of marginal reflex distance (MRD) 1 and 2, palpebral fissure height (PFH), inner intercanthal distance (IICD), outer intercanthal distance (OICD), interpupillary distance (IPD) and horizontal palpebral aperture (HPA). These manual segmentations were used to train a machine learning algorithm to automatically detect facial landmarks and calculate these measurements. The main outcomes were the mean absolute error and intraclass correlation coefficient. RESULTS: A total of 958 eyes from 479 participants were included. The testing set consisted of 290 eyes from 145 patients. The AI algorithm demonstrated close agreement with human measurements, with mean absolute errors ranging from 0.22 mm for IPD to 0.88 mm for IICD. The intraclass correlation coefficients indicated excellent reliability (ICC > 0.90) for MRD1, MRD2, PFH, OICD, IICD, and IPD, while HPA showed good reliability (ICC 0.84). The landmark detection model was highly accurate and achieved a mean error rate of 0.51% and failure rate at 0.1 of 0%. CONCLUSION: The automated facial landmark detection network provided accurate and reliable periocular measurements. This may help increase the objectivity of periocular measurements in the clinic and may facilitate remote assessment of patients with tele-health.

A Brief History of Lacrimal Bypass Techniques.

PURPOSE: Lacrimal bypass is the creation of a fistula connecting the conjunctiva with the lacrimal sac or nasal cavity. Bypass is indicated in canalicular obstruction or agenesis; sac absence, destruction or prior excision; lacrimal pump failure; or dacryocystorhinostomy failure. We aim to review the various techniques that have been developed over the last century for lacrimal bypass. METHODS: We conducted a comprehensive literature review of techniques which have focused on creating a conduit extending from the conjunctiva or canaliculi to the lacrimal sac, or extending that bypass to the nasal cavity bypass. RESULTS: The main techniques reviewed include canaliculodacryocystorhinostomy, conjunctivodacryocystostomy, conjunctivorhinostomy, conjunctivodacryocystorhinostomy, and conjunctivoductivodacryocystorhinostomy. CONCLUSION: Lacrimal bypass surgery has evolved due to innovation in microsurgical techniques, instruments and materials. Conjunctivodacryocystorhinostomy with Jones tube insertion is the predominant bypass technique, reflecting a culmination of historical developments. Understanding the variety of lacrimal bypass techniques is important for exploring alternative options when necessary.

CLINICAL FEATURES AND SURGICAL OUTCOMES OF SCLERAL BUCKLE SURGERY FOR PRIMARY RHEGMATOGENOUS RETINAL DETACHMENT: MOORFIELDS BUCKLE STUDY.

PURPOSE: Long-term study to evaluate the clinical and surgical outcomes of SB surgery for primary rhegmatogenous retinal detachment (RRD) at a large tertiary eye center. METHODS: Non-comparative, retrospective case series of 589 eyes of 569 patients with primary RRD who underwent SB surgery between 2004 and 2022 with median follow-up of 6 months. Main outcome measures were best-corrected visual acuity (BCVA), surgical outcomes, complications, and classification of RRD. RESULTS: At baseline, 447/589 (76.1%), round hole-RRD and 133/589 (22.7%) retinal dialysis-RRD. Overall primary SB success rate was 83.7% for all RD subtypes, with round hole-RD 84.8% and dialysis-RRD 81.2%. Overall, Baseline BCVA was logMAR 0.42 and final logMAR 0.26 (p<0.0001). In macula-OFF RRD, the BCVA significantly improved from 0.79 to 0.48 logMAR (p<0.0001). Macula-ON RRD patients improved from 0.19 to 0.12 logMAR (p=0.014). Binary logistic regression showed registrar surgeon grade (OR 0.09,95% CI 0.01- 0.55), and partial or complete PVD (OR 0.21,95% CI 0.10 - 0.49) associated with reduced odds of primary success. Higher surgical failure associated with low pre-fellowship SB surgeon experience (p=0.024). CONCLUSION: We report favourable visual and functional outcomes in a large series of SB for primary retinal detachment, mainly for round hole and retinal dialysis RRD patients.

A Pilot Study of Dynamic Magnetic Resonance Dacryocystography Imaging to Assess Functional Epiphora.

OBJECTIVE: To evaluate dynamic magnetic resonance dacryocystography (MRDCG) in eyes with functional epiphora. METHODS: We included prospective eyes with epiphora if no alternative cause was found on clinical examination, were patent on syringing, had no obstruction or stenosis on DCG, and had an abnormal DSG. MRDCG was performed to qualitatively assess for block or patency and quantitatively measure tear transit time. We compared measurements to asymptomatic fellow eyes and to historical reference values from asymptomatic eyes. RESULTS: We included 26 symptomatic eyes of 19 patients (median age 63 years). There was a block on MRDCG in 18 (69%) eyes and patency in 8 (31%) eyes. The block occurred at the sac-nasolacrimal duct (NLD) junction in 9 (50%), proximal NLD in 5 (28%), mid-NLD in 1 (5.6%), and distal NLD in 1 (5.6%) eye(s). No contrast was observed in the lacrimal system in two eyes. For eyes patent on MRDCG, median times to the sac, NLD, inferior meatus, first 25%, and first 50% of the fundus-to-nose distance (FND) were 22, 54, 118, 34, and 84 s, respectively. Times to the sac, NLD, and to fill the first 25% and 50% of the FND were significantly longer than historical values from asymptomatic lacrimal systems (p = 0.017, 0.050, 0.035, 0.017, respectively). CONCLUSION: MRDCG shows a high rate of block in functional epiphora. However, DSG and MRDCG results may not always correlate. The improved temporal resolution of this emerging modality may be advantageous in the critical first 2 min of tear transit.

Extraocular muscle enlargement in dysthyroid optic neuropathy.

OBJECTIVE: To investigate extraocular muscle volumes in thyroid eye disease (TED) patients with and without dysthyroid optic neuropathy (DON). DESIGN: Retrospective cohort study. PARTICIPANTS: TED patients who had computed tomography of the orbits. METHODS: The extraocular muscles were manually segmented in consecutive axial and coronal slices, and the volume was calculated by summing the areas in each slice and multiplying by the slice thickness. Data were collected on patient demographics, disease presentation, thyroid function tests, and antibody levels. RESULTS: Imaging from 200 orbits was evaluated. The medial rectus, lateral rectus, superior muscle group, inferior rectus, and superior oblique volumes were significantly greater in orbits with DON compared with TED orbits without DON (p < 0.01 for all). There was no significant difference in the inferior oblique muscle volume (p = 0.19). Increase in volume of the superior oblique muscle showed the highest odds for DON. Each 100 m3 increase in superior oblique, lateral rectus, inferior rectus, medial rectus, and superior muscle group volume was associated with 1.58, 1.25, 1.20, 1.16, and 1.14 times increased odds of DON. CONCLUSION: All extraocular muscle volumes except for the inferior oblique were significantly greater in DON patients. Superior oblique enlargement was associated with the highest odds of DON, suggesting superior oblique enlargement to be a novel marker of DON.

A case study in applying artificial intelligence-based named entity recognition to develop an automated ophthalmic disease registry.

PURPOSE: Advances in artificial intelligence (AI)-based named entity extraction (NER) have improved the ability to extract diagnostic entities from unstructured, narrative, free-text data in electronic health records. However, there is a lack of ready-to-use tools and workflows to encourage the use among clinicians who often lack experience and training in AI. We sought to demonstrate a case study for developing an automated registry of ophthalmic diseases accompanied by a ready-to-use low-code tool for clinicians. METHODS: We extracted deidentified electronic clinical records from a single centre's adult outpatient ophthalmology clinic from November 2019 to May 2022. We used a low-code annotation software tool (Prodigy) to annotate diagnoses and train a bespoke spaCy NER model to extract diagnoses and create an ophthalmic disease registry. RESULTS: A total of 123,194 diagnostic entities were extracted from 33,455 clinical records. After decapitalisation and removal of non-alphanumeric characters, there were 5070 distinct extracted diagnostic entities. The NER model achieved a precision of 0.8157, recall of 0.8099, and F score of 0.8128. CONCLUSION: We presented a case study using low-code artificial intelligence-based NLP tools to produce an automated ophthalmic disease registry. The workflow created a NER model with a moderate overall ability to extract diagnoses from free-text electronic clinical records. We have produced a ready-to-use tool for clinicians to implement this low-code workflow in their institutions and encourage the uptake of artificial intelligence methods for case finding in electronic health records.

Ophthalmology Operation Note Encoding with Open-Source Machine Learning and Natural Language Processing.

INTRODUCTION: Accurate assignment of procedural codes has important medico-legal, academic, and economic purposes for healthcare providers. Procedural coding requires accurate documentation and exhaustive manual labour to interpret complex operation notes. Ophthalmology operation notes are highly specialised making the process time-consuming and challenging to implement. This study aimed to develop natural language processing (NLP) models trained by medical professionals to assign procedural codes based on the surgical report. The automation and accuracy of these models can reduce burden on healthcare providers and generate reimbursements that reflect the operation performed. METHODS: A retrospective analysis of ophthalmological operation notes from two metropolitan hospitals over a 12-month period was conducted. Procedural codes according to the Medicare Benefits Schedule (MBS) were applied. XGBoost, decision tree, Bidirectional Encoder Representations from Transformers (BERT) and logistic regression models were developed for classification experiments. Experiments involved both multi-label and binary classification, and the best performing model was used on the holdout test dataset. RESULTS: There were 1,000 operation notes included in the study. Following manual review, the five most common procedures were cataract surgery (374 cases), vitrectomy (298 cases), laser therapy (149 cases), trabeculectomy (56 cases), and intravitreal injections (49 cases). Across the entire dataset, current coding was correct in 53.9% of cases. The BERT model had the highest classification accuracy (88.0%) in the multi-label classification on these five procedures. The total reimbursement achieved by the machine learning algorithm was $184,689.45 ($923.45 per case) compared with the gold standard of $214,527.50 ($1,072.64 per case). CONCLUSION: Our study demonstrates accurate classification of ophthalmic operation notes into MBS coding categories with NLP technology. Combining human and machine-led approaches involves using NLP to screen operation notes to code procedures, with human review for further scrutiny. This technology can allow the assignment of correct MBS codes with greater accuracy. Further research and application in this area can facilitate accurate logging of unit activity, leading to reimbursements for healthcare providers. Increased accuracy of procedural coding can play an important role in training and education, study of disease epidemiology and improve research ways to optimise patient outcomes.

Detection of systemic cardiovascular illnesses and cardiometabolic risk factors with machine learning and optical coherence tomography angiography: a pilot study.

BACKGROUND/OBJECTIVES: Optical coherence tomography angiography (OCTA) has been found to identify changes in the retinal microvasculature of people with various cardiometabolic factors. Machine learning has previously been applied within ophthalmic imaging but has not yet been applied to these risk factors. The study aims to assess the feasibility of predicting the presence or absence of cardiovascular conditions and their associated risk factors using machine learning and OCTA. METHODS: Cross-sectional study. Demographic and co-morbidity data was collected for each participant undergoing 3 × 3 mm, 6 × 6 mm and 8 × 8 mm OCTA scanning using the Carl Zeiss CIRRUS HD-OCT model 5000. The data was then pre-processed and randomly split into training and testing datasets (75%/25% split) before being applied to two models (Convolutional Neural Network and MoblieNetV2). Once developed on the training dataset, their performance was assessed on the unseen test dataset. RESULTS: Two hundred forty-seven participants were included. Both models performed best in predicting the presence of hyperlipidaemia in 3 × 3 mm scans with an AUC of 0.74 and 0.81, and accuracy of 0.79 for CNN and MobileNetV2 respectively. Modest performance was achieved in the identification of diabetes mellitus, hypertension and congestive heart failure in 3 × 3 mm scans (all with AUC and accuracy >0.5). There was no significant recognition for 6 × 6 and 8 × 8 mm for any cardiometabolic risk factor. CONCLUSION: This study demonstrates the strength of ML to identify the presence cardiometabolic factors, in particular hyperlipidaemia, in high-resolution 3 × 3 mm OCTA scans. Early detection of risk factors prior to a clinically significant event, will assist in preventing adverse outcomes for people.

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis.

BACKGROUND: Strategies to improve the selection of appropriate target journals may reduce delays in disseminating research results. Machine learning is increasingly used in content-based recommender algorithms to guide journal submissions for academic articles. OBJECTIVE: We sought to evaluate the performance of open-source artificial intelligence to predict the impact factor or Eigenfactor score tertile using academic article abstracts. METHODS: PubMed-indexed articles published between 2016 and 2021 were identified with the Medical Subject Headings (MeSH) terms "ophthalmology," "radiology," and "neurology." Journals, titles, abstracts, author lists, and MeSH terms were collected. Journal impact factor and Eigenfactor scores were sourced from the 2020 Clarivate Journal Citation Report. The journals included in the study were allocated percentile ranks based on impact factor and Eigenfactor scores, compared with other journals that released publications in the same year. All abstracts were preprocessed, which included the removal of the abstract structure, and combined with titles, authors, and MeSH terms as a single input. The input data underwent preprocessing with the inbuilt ktrain Bidirectional Encoder Representations from Transformers (BERT) preprocessing library before analysis with BERT. Before use for logistic regression and XGBoost models, the input data underwent punctuation removal, negation detection, stemming, and conversion into a term frequency-inverse document frequency array. Following this preprocessing, data were randomly split into training and testing data sets with a 3:1 train:test ratio. Models were developed to predict whether a given article would be published in a first, second, or third tertile journal (0-33rd centile, 34th-66th centile, or 67th-100th centile), as ranked either by impact factor or Eigenfactor score. BERT, XGBoost, and logistic regression models were developed on the training data set before evaluation on the hold-out test data set. The primary outcome was overall classification accuracy for the best-performing model in the prediction of accepting journal impact factor tertile. RESULTS: There were 10,813 articles from 382 unique journals. The median impact factor and Eigenfactor score were 2.117 (IQR 1.102-2.622) and 0.00247 (IQR 0.00105-0.03), respectively. The BERT model achieved the highest impact factor tertile classification accuracy of 75.0%, followed by an accuracy of 71.6% for XGBoost and 65.4% for logistic regression. Similarly, BERT achieved the highest Eigenfactor score tertile classification accuracy of 73.6%, followed by an accuracy of 71.8% for XGBoost and 65.3% for logistic regression. CONCLUSIONS: Open-source artificial intelligence can predict the impact factor and Eigenfactor score of accepting peer-reviewed journals. Further studies are required to examine the effect on publication success and the time-to-publication of such recommender systems.

Nationwide Trends in Vitreoretinal Procedures within Australia.

PURPOSE: To investigate Australian age stratified nationwide trends in vitreoretinal procedures. METHODS: Nationwide retrospective analysis of vitreoretinal procedures in Australia over 2001-2019 using Australian National Hospital Morbidity Database for public and private hospitals. Age and gender-specific trends in selected procedures including pars plana vitrectomy for retinal detachment (PPV for RD), scleral buckle, intravitreal injections, and PPV unrelated to RD were analysed using negative binomial regression. RESULTS: Total included procedures increased from 8102 in 2001 to 136430 in 2019. Between 2001 and 2019, the incidence per 100,000 persons of PPV for RD increased from 7.5 to 20.7, whilst scleral buckling decreased from 10.5 to 4.0. Similarly, the incidence per 100,000 persons of PPV unrelated to RD increased from 18.4 to 67.1, and intravitreal injections increased from 5.6 to 446.0. The rate of scleral buckling decreased by 6% annually (p < .001), most pronounced in those 40 years and above. In contrast, PPV for RD increased by 5% annually (p < .001), also most pronounced in those aged 40 and above. PPV unrelated to RD increased by 7% annually (p < .001), and intravitreal injections increased by 21.0% annually (p < .001). CONCLUSION: Between 2001 and 2019, the rate of scleral buckling declined compared to an increase in PPV for RD. Our analysis suggests an increasing trend to PPV over scleral buckling for RD repair in Australia over the last two decades. Additionally, rates of PPV unrelated to RD and intravitreal injections increased across all age groups. Overall, these trends mirror those seen internationally and reflect changing practice patterns over time.

DCR for nasolacrimal duct stenosis may be less effective than for complete obstruction.

OBJECTIVES: To ascertain the success of endo-DCR in nasolacrimal duct stenosis (NLDS) versus nasolacrimal duct obstruction (NLDO). METHODS: Consecutive adult patients with epiphora attending a tertiary lacrimal clinic from February 2012 to February 2021 were reviewed. NLDS was diagnosed by patent lacrimal syringing and combined dacryocystography (NLD stenosis) and dacryoscintigraphy (post-sac delay) findings in all eyes. Cases with evidence of canalicular stenosis or other identifiable causes of epiphora were excluded. The epiphora resolution and improvement rates following endo-DCR were compared between NLDS and complete NLDO cases. RESULTS: DCRs in 24 NLDS (23 patients, 69.6% females, mean age 61.0 ± 17.07) and 58 NLDO (56 patients, 69.6% females, mean age 61.9 ± 17.4) were included. Resolution of epiphora was achieved in 10 (41.7% [95% CI 0.24-0.61]) of the NLDS cases compared to 40 (69.0% [95% CI 0.56-0.79]) in NLDO (p = 0.021). Improvement of epiphora (i.e., either improvement or resolution) was noted in 17 (70.8% [95% CI 0.51-0.85]) of NLDS and 53 (91.4% [95% CI 0.81-0.96]) of NLDO cases (p = 0.034). Three patients (12.5%) with NLDS had subsequent lacrimal procedures (one DCR revision, two Jones tube) at a median of 14 (range 11-21) months. 71.4% of the NLDS patients responded to a phone questionnaire at a median of 93 months postoperatively. Of these, 46.7% reported resolution or significant improvement, and 33.3% reported slight improvement. 64.3% said they would recommend DCR to others suffering from epiphora. CONCLUSION: Endo-DCR may benefit approximately 70% of patients with NLDS. The success of endo-DCR in complete NLDO may be higher.

Assessing the subjective quality of smartphone anterior segment photography: a non-inferiority study.

PURPOSE: To assess the subjective quality of anterior segment photos taken from a smartphone camera adapted to the slit lamp compared to a commercial inbuilt slit-lamp camera. METHODS: Non-inferiority study. Five paired images of the anterior segment of normal eyes were taken using an iPhone 11 (Apple, Inc., Calif., USA) camera attached to a universal slit-lamp adaptor and a commercial inbuilt slit-lamp camera (Haag-Streit Diagnostics, Bern, Switzerland). Images were collated into a survey in which ophthalmology students, residents, registrars, and consultants participated to select the image taken from the inbuilt slit-lamp camera. If the image quality was subjectively indistinguishable, we expected a 50:50 split for each photograph that was presented. We selected a 10% non-inferiority margin, with the hypothesis that no less than 40% of images believed to be from the conventional camera were in fact from the smartphone camera. RESULTS: There were 27 respondents in the survey: ophthalmology consultants (n = 7), registrars (n = 10), residents (n = 7), intern (n = 1) and students (n = 2). The mean correct identification across the respondents was 11.3 out of 25 (45.2%) images. Overall, the smartphone camera was non-inferior to the inbuilt slit-lamp camera (p < 0.001). The non-inferiority of the smartphone camera was significant for consultants (47.4%, p < 0.01), registrars (47.6%, p < 0.001) and residents (37.7%, p < 0.0001). CONCLUSIONS: Anterior segment images obtained with a smartphone camera were non-inferior to the commercial inbuilt slit-lamp camera. Smartphone cameras may be a non-inferior tool for communication of anterior segment images having implications for the ease of access to quality telehealth consultations.

Soft stop on syringing and probing may have a high false-positive rate in diagnosing pre-sac obstruction.

PURPOSE: To determine the diagnostic value of 'soft stops' encountered during lacrimal syringing and probing. METHODS: Single-center retrospective review. Adult patients with epiphora attending a tertiary lacrimal clinic from May 2010 to April 2021 were reviewed. Cases with evidence of soft stop encountered during lacrimal syringing/probing were included, and patients with possible canaliculitis or a history of lacrimal surgery were excluded. Findings of syringing/probing consistent with pre-sac obstruction were correlated with dacryocystography (DCG) and surgical findings. RESULTS: 53 (10.2%) canalicular systems had soft stops on syringing/probing and were included in the analysis. The mean age of the patients was 63.8 ± 15.6 (range 28-87) years, and 27 (65.9%) were females. Intraoperative examination findings were available for 27 of 30 cases that underwent lacrimal surgery and DCG was available for 40 systems. Pre-sac obstruction found on syringing/probing was confirmed in 40% and 37% of cases on DCG and surgery, respectively. The correlation between syringing/probing and DCG was stronger for canalicular than for common canalicular location (p = 0.016). Canalicular stenosis on syringing/probing manifested as pre-sac abnormality on DCG in 5/7 (71.4%) compared to 0/6 common canalicular stenosis cases (p = 0.021). Based on the surgical findings, the false-positive rate of a soft stop on syringing/probing was highest for common canalicular 'stenosis' (100%) and lowest for canalicular 'block' (45.5%; p = 0.093). Findings of pre-sac obstructions on DCG were confirmed in 85.7% of the cases intraoperatively (p = 0.035 compared to syringing/probing alone). CONCLUSIONS: Soft stops on probing showed poor correlation with DCG and surgical findings, particularly in common canalicular location.

Blood Pressure Measures and Incident Primary Open-Angle Glaucoma.

Purpose: To investigate the association of systemic blood pressure and incident primary open-angle glaucoma (POAG) using a large open-access database. Methods: Prospective cohort study included 484,268 participants from the UK Biobank without glaucoma at enrollment. Incident POAG events were recorded through assessment visits, hospital inpatient admissions, and primary care data. Blood pressure measures included systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP). Repeated measurements throughout the study period were analyzed as time-varying covariables. The parameters were modeled as both categorical and continuous nonlinear variables. The primary outcome measure was the relative hazard of incident POAG. Results: There were 2390 incident POAG events over 5,715,480 person-years of follow-up. Median follow-up was 12.08 years. In multivariable analyses, compared to SBP and PP in the normal range (SBP, 120-130 mmHg; PP, 40-50 mmHg), higher SBP and PP were associated with an increased risk of incident POAG (linear trend P = 0.038 for SBP, P < 0.001 for PP). Specifically, SBP of 130 to 140 mmHg or 140 to 150 mmHg was associated with a 1.16 higher hazard of incident POAG (95% CI, 1.01-1.32 and 1.01-1.33, respectively), whereas a PP of greater than 70 mmHg was associated with a 1.13 higher hazard of incident glaucoma (95% CI, 1.00-1.29). In multivariable models, no statistically significant associations were found for DBP or MAP with incident glaucoma. These findings were similar when blood pressure measures were modeled as continuous variables. Conclusions: Higher SBP and PP were associated with an increased risk of incident POAG. Further studies are required to characterize these relationships better.

Automated Identification of Clinical Procedures in Free-Text Electronic Clinical Records with a Low-Code Named Entity Recognition Workflow.

BACKGROUND: Clinical procedures are often performed in outpatient clinics without prior scheduling at the administrative level, and documentation of the procedure often occurs solely in free-text clinical electronic notes. Natural language processing (NLP), particularly named entity recognition (NER), may provide a solution to extracting procedure data from free-text electronic notes. METHODS: Free-text notes from outpatient ophthalmology visits were collected from the electronic clinical records at a single institution over 3 months. The Prodigy low-code annotation tool was used to create an annotation dataset and train a custom NER model for clinical procedures. Clinical procedures were extracted from the entire set of clinical notes. RESULTS: There were a total of 5,098 clinic notes extracted for the study period; 1,923 clinic notes were used to build the NER model, which included a total of 231 manual annotations. The NER model achieved an F-score of 0.767, a precision of 0.810, and a recall of 0.729. The most common procedures performed included intravitreal injections of therapeutic substances, removal of corneal foreign bodies, and epithelial debridement of corneal ulcers. CONCLUSION: The use of a low-code annotation software tool allows the rapid creation of a custom annotation dataset to train a NER model to identify clinical procedures stored in free-text electronic clinical notes. This enables clinicians to rapidly gather previously unidentified procedural data for quality improvement and auditing purposes. Low-code annotation tools may reduce time and coding barriers to clinician participation in NLP research.

Functional Versus Anatomical Nasolacrimal Obstruction: Are There Differences in Epiphora Severity, Symptoms, or Effects on Quality of Life?

PURPOSE: To elucidate whether the specific cause of nasolacrimal duct drainage impairment impacts the severity, symptoms, and implications on visual tasks and quality of life (QOL) in epiphora. METHODS: A retrospective review of consecutive adult patients with epiphora attending a tertiary lacrimal clinic from June 2011 to March 2021 was conducted. Cases with evidence of canalicular stenosis, a mucocele, or other identifiable causes of epiphora were excluded. A structured interview assessed the epiphora severity (Munk), symptomatology, precipitating factors, and effects on visual tasks and QOL. Following lacrimal syringing, all eyes were investigated with dacryocystography and dacryoscintigraphy. The domains of the interview were compared between nasolacrimal duct obstruction (NLDO), stenosis (NLDS), and nonanatomical functional delay (FNLDO). RESULTS: One hundred twenty-two symptomatic eyes (63 patients; mean age 63.3 ± 17.2 years; 59% females) were included. There was no difference in Munk score between the groups (NLDO = 3.71 ± 0.18, NLDS = 3.79 ± 2.0, FNLDO = 3.85 ± 0.15; p = 0.82). In all 3 groups, most cases had a Munk >2 (86.8%, 75.9%, and 89.1%, respectively; p = 0.25). Discharge was more common in NLDO (65.7%) compared with NLDS (30.0%) and FNLDO (36.4%, p = 0.006). Worsening in the cold/wind was more frequent in FNLDO (77.1%) compared with NLDO (48.5%, p = 0.029). Effects on visual tasks and QOL were not significantly different. CONCLUSIONS: FNLDO patients experience a high severity of epiphora, comparable to patients with NLDS and those with complete NLDO. The distinction between FNLDO and NLDS had little consequence on reported symptoms, precipitating factors, visual tasks, and QOL. Discharge may be more specific to NLDO, whereas precipitating cold or wind is more specific to FNLDO.

Syringing has limited reliability in differentiating nasolacrimal duct stenosis from functional delay.

PURPOSE: To elucidate the role of syringing in assessing nasolacrimal duct (NLD) stenosis and non-anatomical functional NLD delay. METHODS: Consecutive adult patients with epiphora attending a tertiary lacrimal clinic from June 2011 to March 2021 were reviewed. Cases with evidence of canalicular stenosis or other identifiable causes of epiphora were excluded. Following syringing, patients were investigated with dacryocystography (DCG) and dacryoscintigraphy (DSG). The sensitivity and specificity of syringing were evaluated using the combined findings on DCG and DSG. RESULTS: A total of 289 symptomatic lacrimal systems (197 patients; mean age 65.5 ± 14.9 years, 66% females) were included. More than one-third of cases with both normal DCG and DSG were noted to have some degree of reflux on syringing (specificity = 65.1%, 95% CI 50.2-77.6%). The sensitivities were considerably low for NLD stenosis (i.e., stenosis on DCG and delay on DSG) and for functional NLD delay (i.e., normal DCG and delay on DSG), of which 43.7% (95% CI 32.2-55.9%) and 54.3% (95% CI 45.7-62.7%) had full patency on syringing, respectively (p = 0.17). CONCLUSIONS: Full patency on syringing was unreliable for ruling out NLD stenosis and functional delay. Furthermore, a positive syringing may be associated with functional NLD delay and cannot reliably differentiate it from stenosis.

Lacrimal imaging findings in fellow asymptomatic eyes of unilateral epiphora.

AIMS: To investigate the prevalence of subclinical anatomical and functional abnormalities of lacrimal drainage in fellow asymptomatic eyes of unilateral epiphora using dacryocystography and dacryoscintigraphy. METHODS: Retrospective case note review of lacrimal imaging of adult patients presenting to a hospital Oculoplastic clinic with unilateral epiphora over 10 years. RESULTS: A total of 172 patients with unilateral epiphora were included. The median age was 67 (range 18-96 years). A dacryoscintigraphy (DSG) abnormality was present in 54 (42%) asymptomatic eyes, and dacryocystography (DCG) abnormality in 10 (10%). The most common finding on DSG was no delay in 76 eyes (58%), and most common DSG abnormality was post sac delay in 51 (39%) eyes. The most common finding on DCG was no obstruction in 88 (90%) eyes, and the most common DCG abnormality was post sac stenosis (7.1%). Of the 92 asymptomatic eyes with both DCG and DSG, 53 (57%) showed neither an obstruction on DCG or delay on DSG, and 28 (30%) showed a post sac delay on DSG and no abnormality on DCG. CONCLUSION: Greater than a third of asymptomatic eyes displayed post sac delay on DSG, frequently without accompanying anatomical obstruction on DCG. Subclinical DSG delay in asymptomatic eyes may represent physiological variation in tear transit time, subclinical lacrimal drainage dysfunction or anatomical stenosis undetected by DCG. Furthermore, the DSG results of fellow asymptomatic eyes in unilateral epiphora may not represent a normal standard that can be utilised for comparison. Further investigation with dacroyendoscopy, the use of control eyes, and long term follow up is required.