Carlson, Matthew

Abstract Objectives To address the gap between artificial intelligence (AI) model development and clinical implementation by developing a machine-learning model to predict cochlear implant (CI) eligibility based on routine hearing tests, while illustrating 3 practical lessons: reformulation for clinical utility, selection of problem-specific metrics, and handling input data variability. Materials and Methods Data were extracted from adult patients who underwent behavioral audiometric and subsequent CI candidacy testing (Arizona Biomedical and Consonant-Nucleus-Consonant tests) at Mayo Clinic between 2011 and 2023. Regression models were initially developed to predict AzBio and CNC scores using features from routine audiograms. Models were then reformulated into binary classification tasks using clinical thresholds (AzBio ≤60%; CNC <50%) and reported sensitivity and positive predictive value (PPV). Input data variability was assessed by analyzing test-retest differences in isophonemes scores. Results Binary classification models achieved sensitivity of 90.4% with PPV 80.2% at CNC 50/AzBio 60, outperforming referral heuristics (60/60 and 75/40). Applying the models to 50 700 historical audiograms identified 525 patients at PPV 90% (sensitivity 58%), 396 at PPV 94% (sensitivity 44%), and 1582 at PPV 71% (sensitivity 94%). Variability analyses indicated that attainable precision is bounded by noise in key predictors. Conclusion This study demonstrates how AI models can be translated into clinically actionable tools by reformulating regression outputs, selecting metrics aligned with clinical priorities, and addressing data variability. These strategies provide a scalable framework for implementing AI in health care and improving decision-making in diverse clinical contexts.

OBJECTIVE The minimal important difference (MID) and minimal important change (MIC) are two metrics that bridge the gap between statistical significance and clinical relevance and are critical to managing clinical decisions and conducting clinical research. The objective of this study was to define MIDs to evaluate cross-sectional differences among groups and to define MICs to evaluate longitudinal within-patient changes for the Mayo Clinic Vestibular Schwannoma Quality of Life (VSQOL) Index. METHODS Anchor-based methods were used to define MIDs and MICs for the VSQOL Index domain scores, which range from 0 to 100 points, for a national cohort of 1050 patients with sporadic vestibular schwannoma, 644 of whom completed the VSQOL Index twice approximately 1 year apart. RESULTS The median of the MID estimates for the VSQOL Index domains were: hearing problems (17, IQR 12.5–21); dizziness and imbalance (21, IQR 18–23); pain, discomfort, and tinnitus (19.5, IQR 15–23.5); problems with face or eyes (18, IQR 17–28); impact on physical, emotional, and social well-being (19.5, IQR 14.5–23.5); difficulty with thinking and memory (23.5, IQR 18.5–28.5); global quality of life (12, IQR 8–16); and satisfaction or regret (13.5, IQR 7–17). MIC estimates for the hearing problems and satisfaction and regret domains were not obtained because the correlations between these domain scores and their associated anchors were not sufficiently strong. The MIC estimates (minimum and maximum) for the remaining domains were: dizziness and imbalance (7.2 and 8.3); pain, discomfort, and tinnitus (8.3 and 8.5); problems with face or eyes (7.0 and 7.4); impact on physical, emotional, and social well-being (2.1 and 8.0); and difficulty with thinking and memory (12.9 and 15.0). The median of the MIC estimates for global quality of life was 5.2 (IQR 3.7–5.6). CONCLUSIONS The MIDs and MICs reported herein provide a framework to interpret quality-of-life benefit or harm cross-sectionally among groups and longitudinally within patients. Moving forward, these values should be considered when interpreting studies using the VSQOL Index to assess disease-specific quality of life in patients with sporadic vestibular schwannoma.

Aberrant internal carotid artery (ICA) is a vascular anomaly in which a segment of the ICA courses through the middle ear. The association of aberrant ICAs and pseudoaneurysm formation is not well known and can be an important finding to recognize on imaging. In this series, we present three cases of aberrant ICAs having asymmetric contour deformities consistent with pseudoaneurysms diagnosed utilizing CT of the temporal bone.

BACKGROUND AND OBJECTIVES: The intraosseous subarcuate loop (SL) is a unique variant of the anterior inferior cerebellar artery (AICA), where a loop of the artery is trapped in the petrous bone's subarcuate fossa (SF). Recognizing this variant is crucial for planning cerebellopontine angle (CPA) surgeries; however, data regarding its frequency and management vary in the published literature. A cohort from a single center was studied using MRI to assess its prevalence, and the findings were compared with the existing literature. In addition, an intraoperative guide for mobilizing the intraosseous AICA's SL was provided through a detailed step-by-step cadaveric dissection. METHODS: Two hundred fifty-eight patients who had undergone MRI scans of the CPA (516 sides) were retrospectively reviewed. MRIs displaying vascular loops visible in the axial view were analyzed using multiplanar reconstruction, and the intraosseous loop frequency was evaluated. A scoping review was undertaken to provide an overview of previously published data on its prevalence. One embalmed and latex-injected specimen with intraosseous AICA's SL was dissected through a retrosigmoid approach, and 1 surgical case was detailed, describing the procedure to release it. RESULTS: Intraosseous AICA's SL mobilization involves the identification of its entry and exit points within the petrous bone, dural incision to expose the SF, SF drilling, subarcuate artery division, and detaching the vascular loop. Preservation of a dural cuff is crucial to prevent vascular injury. We analyzed 258 brain MRIs (mean age 55 years, 42% male). The intraosseous AICA's SL was present in 4 of 516 evaluated CPAs (0.8%). The prevalence of the vascular anomaly in the reviewed literature using different radiological modalities ranged from 0.2% to 1.6%. CONCLUSION: The intraosseous AICA's SL is an uncommon anatomic variation detectable by MRI, posing an added risk in CPA surgery. Identifying and properly mobilizing it is crucial for safe vascular preservation.