Artificial intelligence-enabled analysis of radiology reports: epidemiology and outcomes of incidental thyroid findings
The Journal of Clinical Endocrinology & Metabolism | April 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available
Abstract Context Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, and consequences remain undefined. Objective To develop, validate, and deploy a natural language processing (NLP) pipeline to identify ITFs in radiology reports and assess their prevalence, features, and clinical outcomes. Design Retrospective cohort study. Setting Mayo Clinic sites (Rochester, Arizona, Florida, Mayo Clinic Health System). Participants Adults without prior thyroid disease undergoing thyroid-capturing imaging from July 1, 2017, to September 30, 2023. A transformer-based NLP pipeline identified ITFs and extracted nodule characteristics from image reports from multiple modalities and body regions. Outcomes ITF prevalence, downstream thyroid ultrasound, biopsy, thyroidectomy, and cancer diagnosis. Logistic regression identified demographic and imaging-related factors. Results Among 115 683 patients (mean age, 56.8 [SD 17.2]; 52.9% women), 9077 (7.8%) had an ITF (92.9% nodular). ITFs were more likely in women, older adults, higher BMI, and in imaging ordered by specialties different from Emergency Medicine. Compared with chest CT, ITFs were more likely via neck CT, PET, and nuclear medicine scans. Nodule characteristics were poorly documented, with size reported in 44% and other features in fewer than 15%. Compared with patients without ITFs, those with ITFs had higher odds of thyroid nodule diagnosis (OR 45, 95%CI 41.1-49.3), biopsy (OR 46.8, 95%CI 39.0-56.2) thyroidectomy (OR 55.8, 95%CI 31.3-99.3), and thyroid cancer diagnosis (OR 61.7, 95%CI 38.6-98.5). Most cancers were papillary (88.5%) and larger when detected after ITFs (2 cm SD 1.4) vs no ITF (1.3 cm SD 0.8). Conclusion ITFs were common and strongly associated with cascades leading to the detection of small, low-risk cancers, highlighting their role in overdiagnosis and the need for standardized reporting and more selective follow-up.
Beyond the Final Dose: The Chronic Glycemic Impact of Teprotumumab
Pre-Radioiodine Thyrotropin Thresholds During Withdrawal Preparation in Differentiated Thyroid Cancer after Total Thyroidectomy: A Systematic Review and Meta-Analysis
Background: Preparation for radioiodine (RAI) therapy in differentiated thyroid cancer (DTC) often requires thyroid hormone withdrawal (THW) to achieve thyrotropin (TSH) stimulation. Current guidelines recommend TSH ≥30 mIU/L, a target that prolongs hypothyroidism and worsens quality of life, yet rests on limited evidence. Objective: To evaluate the association between pre-RAI TSH levels and oncologic outcomes in adults with DTC prepared by THW. Methods: We conducted a systematic review and meta-analysis of studies comparing outcomes across pre-RAI TSH thresholds (<30 vs. ≥30, <60 vs. ≥60, and <90 vs. ≥90 mIU/L) in adults with DTC prepared by THW. Primary outcomes included disease-specific mortality, recurrence, and response to therapy. Searches in MEDLINE, Embase, Cochrane, and Scopus (inception to March 2025) identified eligible studies. Risk of bias was assessed using the CLARITY tool and certainty of evidence using GRADE. Pooled relative risks (RRs) were calculated using random-effects models. This systematic review was registered in PROSPERO (CRD42020158354). Results: This meta-analysis included eight retrospective cohort studies comprising a total of 4651 DTC patients, predominantly women (68.5%) with a mean age of 46 years. All patients underwent THW before RAI. Across all TSH thresholds examined (<30, <60, and <90 mIU/L), higher pre-RAI TSH levels were not associated with better treatment response, lower recurrence, or reduced mortality. Specifically, patients with higher pre-RAI TSH levels (≥30 mIU/L) did not have better oncologic outcomes compared with those with lower levels (<30 mIU/L). At 2- and 3-year follow-up, no significant differences were observed in excellent (pooled RR = 0.87; confidence interval [CI] 0.68–1.11) or indeterminate (RR = 1.28; CI 0.72–2.27) response rates. Similarly, recurrence rates did not differ (RR = 1.45; CI 0.83–2.55), and no study demonstrated a difference in disease-specific mortality across follow-up periods extending up to 10 years. The certainty of evidence for all outcomes was rated very low due to risk of bias, heterogeneity, and imprecision. Conclusions: The current evidence base is insufficient to support or refute the routine use of a specific TSH threshold before RAI administration. These findings question the recommendation to achieve TSH ≥30 mIU/L before RAI and highlight the need for trials to define the minimal effective level of TSH stimulation.
Beyond the Eyes: Is Teprotumumab Effective for Thyroid Dermopathy?
Background: Pretibial dermopathy (PTD) is a rare, disfiguring manifestation of Graves’ disease. The shared pathophysiology with thyroid eye disease (TED), centered on fibroblast activation via a thyroid-stimulating hormone receptor and insulin-like growth factor-1 receptor (IGF-1R) complex, provides a strong rationale for using the IGF-1R inhibitor, teprotumumab. Methods: We present a case series of five patients with severe PTD and concomitant TED who were treated with teprotumumab. A review of reported cases in the literature was also conducted. Results: All patients experienced significant clinical improvement, including regression of skin thickening as well as enhanced functional capacity. Side effects included mild hearing loss, muscle cramps, and fatigue. One patient experienced a severe gastrointestinal event requiring treatment discontinuation, while those experiencing a recurrence of PTD, responded to a second course of therapy. Conclusions: Teprotumumab showed promising efficacy in the treatment of PTD. Further studies are needed to confirm its durability and safety.
Graves’ disease: a new era of pathophysiology-guided therapeutics
The Journal of Clinical Endocrinology & Metabolism | January 12, 2026 | Volume: 111 | Issue: 5 | Pages: 1212-1224
Abstract Graves’ disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than half a century with radioactive iodine, antithyroid drugs (ATDs), and surgery representing the mainstay of therapy, with variation in their use over time and geographic location. Hypothyroidism has been an accepted tradeoff in many cases, though recently there are increased concerns about altered quality of life in these patients. Fortunately, the last decade has seen an intense pursuit of GD's immunological mechanisms and a recalibration of classic treatment modalities focusing on thyroid preservation, as reflected in the preference for ATD as primary therapy, including its use in long-term protocols. The immune targets currently explored aim to address this gap by intervening in the TRAb lifecycle: minimizing production (eg, B-cell targeting), enhancing clearance (eg, neonatal Fc receptor inhibitors), or neutralizing its target—the TSH receptor (eg, receptor blockade). While these approaches are going through the necessary clinical trials evaluation, we are starting to see the potential for technology and artificial intelligence to make an impact on how we identify, treat, and monitor patients with GD. The combination of these approaches will likely lead to a significant individualization of GD management that will take us from the goal of normalization of thyroid levels to that of inducing long-term remission and prevention of the associated autoimmune phenomena that GD is associated with. While time is needed for these aspects to mature, the future looks bright for our GD patients and maybe soon these lessons will open new doors for our patients with Hashimoto's thyroiditis as well.