Thyroid Cancer Incidence and Tumor Size in New Mexico American Indians, Hispanics, and Non-Hispanic Whites, 1992 to 2019.

BACKGROUND: The incidence of thyroid cancer in the United States has risen dramatically since the 1970s, driven by an increase in the diagnosis of small tumors. There is a paucity of published New Mexico (NM) specific data regarding thyroid cancer. We hypothesized that due to New Mexico's unique geographic and cultural makeup, the incidence of thyroid cancer and tumor size at diagnosis in this state would differ from that demonstrated on a national level. METHODS: The New Mexico Tumor Registry (NMTR) was queried to include all NM residents diagnosed with thyroid cancer between 1992 and 2019. For 2010 to 2019, age-adjusted incidence rates were calculated via direct method using the 2000 United States population as the adjustment standard. Differences in incidence rate and tumor size by race/ethnicity and residence (metropolitan vs non-metropolitan) were assessed with rate ratios between groups. For 1992 to 2019, temporal trends in age-adjusted incidence rates for major race/ethnic groups in NM [Non-Hispanic White (NHW), Hispanic, and American Indian (AI)] were assessed by joinpoint regression using National Cancer Institute software. RESULTS: Our study included 3,161 patients for the time period 2010 to 2019, including NHW (1518), Hispanic (1425), and AI (218) cases. The overall incidence rates for NM AIs were lower than those for Hispanics and NHWs because of a decreased incidence of very small tumors (<1.1 cm). The incidence rates for large tumors (>5.1 cm) was equivalent among groups. In the early 2000s, Hispanics also had lower rates of small tumors when compared to NHWs but this trend disappeared over time. CONCLUSION: AIs in New Mexico have been left out of the nationwide increase in incidental diagnosis of small thyroid tumors. This same pattern was noted for Hispanics in the early 2000s but changed over time to mirror incidence rates for NHWs. These data are illustrative of the health care disparities that exist among New Mexico's population and how these disparities have changed over time.

Predicting nodal metastases in squamous cell carcinoma of the oral tongue using artificial intelligence.

OBJECTIVE: The presence of occult nodal metastases in patients with squamous cell carcinoma (SCC) of the oral tongue has implications for treatment. Upwards of 30% of patients will have occult nodal metastases, yet a significant number of patients undergo unnecessary neck dissection to confirm nodal status. This study sought to predict the presence of nodal metastases in patients with SCC of the oral tongue using a convolutional neural network (CNN) that analyzed visual histopathology from the primary tumor alone. METHODS: Cases of SCC of the oral tongue were identified from the records of a single institution. Only patients with complete pathology data were included in the study. The primary tumors were randomized into 2 groups for training and testing, which was performed at 2 different levels of supervision. Board-certified pathologists annotated each slide. HALO-AI convolutional neural network and image software was used to perform training and testing. Receiver operator characteristic (ROC) curves and the Youden J statistic were used for primary analysis. RESULTS: Eighty-nine cases of SCC of the oral tongue were included in the study. The best performing algorithm had a high level of supervision and a sensitivity of 65% and specificity of 86% when identifying nodal metastases. The area under the curve (AUC) of the ROC curve for this algorithm was 0.729. CONCLUSION: A CNN can produce an algorithm that is able to predict nodal metastases in patients with squamous cell carcinoma of the oral tongue by analyzing the visual histopathology of the primary tumor alone.

Lymph Node Metastases in Papillary Thyroid Carcinoma can be Predicted by a Convolutional Neural Network: a Multi-Institution Study.

OBJECTIVES: The presence of nodal metastases in patients with papillary thyroid carcinoma (PTC) has both staging and treatment implications. However, lymph nodes are often not removed during thyroidectomy. Prior work has demonstrated the capability of artificial intelligence (AI) to predict the presence of nodal metastases in PTC based on the primary tumor histopathology alone. This study aimed to replicate these results with multi-institutional data. METHODS: Cases of conventional PTC were identified from the records of 2 large academic institutions. Only patients with complete pathology data, including at least 3 sampled lymph nodes, were included in the study. Tumors were designated "positive" if they had at least 5 positive lymph node metastases. First, algorithms were trained separately on each institution's data and tested independently on the other institution's data. Then, the data sets were combined and new algorithms were developed and tested. The primary tumors were randomized into 2 groups, one to train the algorithm and another to test it. A low level of supervision was used to train the algorithm. Board-certified pathologists annotated the slides. HALO-AI convolutional neural network and image software was used to perform training and testing. Receiver operator characteristic curves and the Youden J statistic were used for primary analysis. RESULTS: There were 420 cases used in analyses, 45% of which were negative. The best performing single institution algorithm had an area under the curve (AUC) of 0.64 with a sensitivity and specificity of 65% and 61% respectively, when tested on the other institution's data. The best performing combined institution algorithm had an AUC of 0.84 with a sensitivity and specificity of 68% and 91% respectively. CONCLUSION: A convolutional neural network can produce an accurate and robust algorithm that is capable of predicting nodal metastases from primary PTC histopathology alone even in the setting of multi-institutional data.

Outcomes of Carotid Body Tumor Management with Active Surveillance.

OBJECTIVES: To assess outcomes of carotid body tumors (CBTs) managed with active surveillance. METHODS: Retrospective chart review of CBTs managed with active surveillance from 2001 to 2019. RESULTS: A total of 115 cases were identified during chart review. Sixty-five of these patients were managed with active surveillance, and 11 patients had bilateral tumors for a total of 76 tumors. Follow-up records with symptomatic outcomes were available for 51 patients, and 47 tumors had follow-up imaging. Thirty-one (66%) actively surveilled CBTs remained stable or decreased in size while 16 (34%) increased in size. Patients undergoing active surveillance developed symptoms in 12 cases, 6 of these patients underwent surgical intervention. Nine CBTs managed with active surveillance (18%) were ultimately resected. The majority of patients who did not undergo surgical intervention never developed symptoms (36/42, 86%). CONCLUSIONS: Active surveillance may be a reasonable approach for a subset of CBTs.

Worse Pituitary Adenoma Surgical Outcomes Predicted by Increasing Frailty, Not Age.

PURPOSE: Increasing patient age has been associated with worse outcomes after pituitary adenoma resection in previous studies, but the prognostic value of frailty compared with advancing age on pituitary adenoma resection outcomes has not been clearly evaluated. METHODS: The National Surgical Quality Improvement Program from 2015 to 2019 was queried for data for patients aged >18 years who underwent pituitary adenoma resection (n = 1454 identified patients). Univariate and multivariate analyses of age and frailty (5-factor modified frailty index [mFI-5]) were performed on 30-day mortality, major complications, extended length of stay (eLOS), discharge destination, and readmission and reoperation. The receiver operating characteristic curve analysis was performed to compare effect of age and mFI-5. RESULTS: On univariate analysis, increasing frailty was significantly associated with greater risk of unplanned readmission (frail: odds ratio [OR], 1.9; 95% confidence interval [CI], 1.2-3.2; severely frail: OR, 6.9; 95% CI, 2.4-19.8) and a major complication (frail: OR, 3.6; 95% CI, 2.1-6.1). Severe frailty was also associated with nonhome discharge (OR, 10.6; 95% CI, 3.2-35.8) and eLOS (OR, 4.5; 95% CI, 1.5-13.4). Increasing age was not associated with any of these outcome measures. Multivariate analysis also demonstrated similar trends. In receiver operating characteristic curve analysis, the mFI-5 score showed higher discrimination for major complications compared with age (area under the curve: 0.624 vs. 0.503; P < 0.001). CONCLUSION: Increasing frailty, and not advancing age, was an independent predictor for major complications, unplanned readmissions, eLOS, and nonhome discharge after pituitary adenoma resection, suggesting frailty to be superior to age in preoperative risk stratification in this patient population.

Predicting nodal metastases in papillary thyroid carcinoma using artificial intelligence.

BACKGROUND: The presence of nodal metastases is important in the treatment of papillary thyroid carcinoma (PTC). We present our experience using a convolutional neural network (CNN) to predict the presence of nodal metastases in a series of PTC patients using visual histopathology from the primary tumor alone. METHODS: 174 cases of PTC were evaluated for the presence or absence of lymph metastases. The artificial intelligence (AI) algorithm was trained and tested on its ability to discern between the two groups. RESULTS: The best performing AI algorithm demonstrated a sensitivity and specificity of 94% and 100%, respectively, when identifying nodal metastases. CONCLUSION: A CNN can be used to accurately predict the likelihood of nodal metastases in PTC using visual data from the primary tumor alone.

The effect of preoperative embolization on surgical outcomes for carotid body tumor resection.

OBJECTIVE: Compare the effects of preoperative embolization for carotid body tumor resection on surgical outcomes to carotid body tumor resections without preoperative embolization. METHODS: Single-center retrospective review of all consecutive patients who underwent carotid body tumor resection from 2001 to 2019. Surgical outcomes with emphasis on operative time (estimated blood loss and cranial nerve injury) of patients undergoing carotid body tumor resection following preoperative embolization were compared to those undergoing resection alone using unpaired Student's t-test and Fisher's exact test. RESULTS: Forty-six patients (15% male, mean age 50 ± 15 years) underwent resection of 49 carotid body tumors. Patients undergoing preoperative embolization (n = 20 (40%)) had larger mean tumor size (4.0 ± 0.7 vs 3.2 ± 1 cm, p = 0.006), increased Shamblin II/III tumor classification (18 (90%) vs 22 (76%), p < 0.001), operative time (337 ± 195 vs 199 ± 100 min, p = 0.004), and cranial nerve injuries overall (8 (40%) vs 2 (10%), p = 0.01) compared to patients undergoing resection without preoperative embolization (n = 29 (60%)). In subgroup analysis of Shamblin II/III classification tumors (n = 40), preoperative embolization (n = 18) was associated with increased tumor size (4.1 ± 0.6 vs 3.5 ± 0.9 cm, p = 0.01), operative time (351 ± 191 vs 244 ± 105 min, p = 0.02), and cranial nerve injury overall (8 (44%) vs 2 (9%), p = 0.03) compared to resections alone (n = 19). In further subgroup analysis of large (⩾ 3 cm) tumors (n = 37), preoperative embolization (n = 18) was associated with increased operative time (350 ± 191 vs 198 ± 99 min, p = 0.006) and cranial nerve injury overall (8 (44%) vs 2 (11%), p = 0.03) compared to resections alone (n = 19). There were no significant differences in estimated blood loss, transfusion requirement, or hematoma formation between any of the embolization and non-embolization subgroups. CONCLUSION: After controlling for tumor Shamblin classification and size, carotid body tumor resections following preoperative embolization were associated with increased operative time and inferior surgical outcomes compared to those tumors undergoing resection alone. Nonetheless, such results remain susceptible to the confounding effects of individual tumor characteristics often used in the decision to perform preoperative embolization, underscoring the need for prospective studies evaluating the utility of preoperative embolization for carotid body tumors.

Hoarseness Caused by a Penetrating Proximal Descending Thoracic Aortic Ulcer and Pseudoaneurysm.

We present a case of an 87-year-old female with new-onset hoarseness of unclear etiology. Imaging demonstrated a penetrating aortic ulcer (PAU) in the proximal descending thoracic aorta with an associated pseudoaneurysm that enlarged to a depth of 32 mm over 2 years. This patient was diagnosed with hoarseness being secondary to left recurrent laryngeal nerve (LRLN) palsy, a variant of Ortner syndrome. Patient was treated with endovascular stent-grafting successfully covering of the PAU and pseudoaneurysm with zone 3 proximal landing zone. The patient had moderate improvement in hoarseness after 1 year of follow-up. Endovascular repair is indicated for symptomatic patients with PAUs complicated by enlarging pseudoaneurysms or rupture. Endovascular treatment is effective with low procedural morbidity and mortality. In this case, the PAU and associated pseudoaneurysm at the level of the ligamentum arteriosum caused compression on the LRLN, resulting in a nerve palsy and hoarseness. This case highlights the importance of vascular imaging for patients presenting with unclear etiology of hoarseness or other signs of LRLN palsy. Therefore, aortic arch abnormalities, a variant of Ortner syndrome, even though rare, should be on the differential diagnosis of new onset hoarseness.

Microvascular clamp technique as a reversible simulation of parathyroid gland excision.

INTRODUCTION: This study demonstrates the effectiveness of a microvascular clamp to simulate parathyroid adenoma excision with respect to intraoperative parathyroid hormone (ioPTH) changes in vivo. METHODS: Cases in which microvascular clamps were employed intraoperatively in conjunction with intraoperative parathyroid hormone(ioPTH) assays were reviewed. ioPTH values were recorded throughout these procedures to assess the efficacy and reversibility of tissue ischemia using microvascular clamps. RESULTS: Application of a microvascular clamp across the vascular pedicle of a parathyroid adenoma resulted in a significant ioPTH drop in 95% of cases (N = 20). Removal of the clamp resulted in complete or partial rebound of ioPTH in 90% of cases (N = 20). CONCLUSION: The use of a microvascular clamp to temporarily occlude a parathyroid gland's vascular pedicle is an effective simulation of gland excision with respect to ioPTH changes. Rebound of ioPTH levels after clamp removal demonstrates that this technique is generally reversible. LEVEL OF EVIDENCE: 2b, Retrospective cohort study.