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.

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.

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.

Longitudinal voice outcomes following laryngeal reinnervation via vagus-to-recurrent laryngeal nerve anastomosis after vagal nerve sacrifice: a case series.

OBJECTIVE: This study aimed to describe longitudinal voice outcomes of vagus-to-recurrent laryngeal nerve anastomosis following operative vagal nerve sacrifice. METHODS: Two patients who underwent anastomosis were assessed by a multidisciplinary voice team at 1, 4, 9, 12, and 18 months after vagal sacrifice. RESULTS: Long-term changes in voice function based on auditory perceptual measures of voice quality and visual perceptual changes in glottal closure were observed and maintained for 18 months after vagus-to-recurrent laryngeal nerve anastomosis in 2 patients with proximal vagal nerve sacrifice. Patients achieved acceptable voice outcomes and elected not to undergo further treatment, which was supported by Voice Handicap Index scores. CONCLUSION: Gradual restoration of voice following operative vagal sacrifice can be achieved over an 18-month period using vagus-to-recurrent laryngeal nerve anastomosis and warrants further investigation in appropriately selected patients.

A phase II study of temsirolimus and erlotinib in patients with recurrent and/or metastatic, platinum-refractory head and neck squamous cell carcinoma.

OBJECTIVES: The epidermal growth factor receptor (EGFR) is a validated target in head and neck squamous cell carcinoma (HNSCC). In recurrent and/or metastatic (R/M) HNSCC, resistance to anti-EGFR therapy inevitably occurs. Downstream activation of the PI3K/Akt/mTOR pathway is an established resistance mechanism. Concurrent mTOR blockade may improve efficacy of anti-EGFR therapy. MATERIALS AND METHODS: Erlotinib 150 mg daily and temsirolimus 15 mg weekly were administered to patients with platinum-refractory R/M HNSCC and ECOG performance status 0-2. The primary endpoint was progression-free survival (PFS). Correlative studies determined PIK3CA and HRAS mutation status; p16, EGFR, pS6K, pAkt and PTEN expression; and pre- and post-treatment plasma levels of 20 immunomodulatory cytokines. RESULTS: Twelve patients enrolled; six withdrew within 6 weeks due to toxicity or death, prompting early closure of the trial. Grade ≥ 3 toxicities included fatigue, diarrhea, gastrostomy tube infection, peritonitis, pneumonia, dyspnea, and HN edema. Median PFS was 1.9 months. Median overall survival was 4.0 months. Six/12 tumors were p16(+), 9/11 lacked measurable PTEN expression, and 1/12 harbored a PIK3CA mutation. On exploratory analysis, high baseline plasma VEGF and interferon-gamma levels marginally associated with tumor progression. CONCLUSIONS: The combination of erlotinib and temsirolimus was poorly tolerated. Low prevalence of PTEN expression and 8% incidence of PIK3CA mutations indicate biological relevance of this pathway in R/M disease. Investigation of more tolerable combinations of EGFR and PI3K/Akt/mTOR pathway inhibitors in selected HNSCC patients is warranted.

Temporal Chondroblastoma with a Novel Chromosomal Translocation (2;5) (q33;q13).

The case of a 51-year-old man with a large temporal mass is presented. The mass eroded the floor of the middle fossa medially to the sphenoid sinus. A combined approach with neurosurgery and otolaryngology was performed to achieve maximal resection of the mass. Pathology was typical for chondroblastoma: a rare, benign but locally invasive chondroid tumor. Genetic testing revealed a translocation of (2;5) (q33;q13). This is a unique genetic mutation in all chondroid tumors to our knowledge. The diagnostic utility or role of this mutation in the pathobiology of this tumor remains to be determined.

The identification of mandible fractures by helical computed tomography and panorex tomography.

The introduction of computed tomography (CT) in 1972 revolutionized the radiographic evaluation of patients who have experienced trauma. However, panoramic tomography (PT) continued to be superior in sensitivity to CT in the identification of mandible fractures and has been considered the gold standard for the past 3 decades. In 1989, a faster, higher-resolution spiral or helical CT (HCT) became widely available, and its efficacy in multiplanar evaluation and diagnosis of fractures of the upper two thirds of the face has been well established. The sensitivity of this new-generation HCT in comparison to PT in the detection of mandible fractures has not been determined. The purpose of this study was to compare the sensitivity, physician interpretation error, and interphysician agreement of HCT and PT in the identification of mandible fractures. The number and anatomical location of mandible fractures identified by HCT and PT was not significantly different. However, the number and location of 96% of fractures identified by HCT was agreed on by neuroradiologists compared with only 91% of fractures identified by PT. Furthermore, the interphysician agreement when no fracture was identified was 96% by HCT versus only 81% by PT. In conclusion, HCT has enhanced imaging quality, equivalent sensitivity in identification of fractures, decreased interpretation error, and greater interphysician agreement in the identification of mandible fractures. HCT has surpassed PT as the current gold standard for the radiographic evaluation and diagnosis of mandible fractures.