Background:This study examined the risk of cancer in patients with Hashimoto's thyroiditis (HT).Methods:The Taiwanese National Health Insurance Research Database (NHIRD) was used to identify 1521 newly diagnosed HT patients from 1998–2010, and 6084 frequency-matched non-HT patients. The risk of developing cancer for HT patients was measured using the Cox proportional hazard model.Results:The incidence of developing cancer in the HT cohort was 5.07 per 1000 person-years, which was 1.68-fold higher than that in the comparison cohort (P<0.001). Compared with patients aged 20–34 years, patients in older age groups had a higher risk of developing cancer (35–55 years: hazard ratio (HR)=5.96; >55 years: HR=9.66). After adjusting for sex, age, and comorbidities, the HT cohort had HRs of 4.76 and 11.8 for developing colorectal cancer and thyroid cancer, respectively, compared with non-HT cohort. Furthermore, the HT cohort to non-HT cohort incidence rate ratio (IRR) of thyroid cancer was higher in the first 3 years (48.4, 95% confidence interval (CI)=35.0–66.3), with an adjusted HR of 49.4 (95% CI=6.39–382.4).Conclusion:Hashimoto's thyroiditis patients have a higher risk of thyroid cancer and colorectal cancer. The thyroid cancer prevention effort should start soon after HT is diagnosed, while being cautious of colorectal cancer increases with time.

Background: Drug-refractory secondary hyperparathyroidism (SHPT) is the most common complication in patients with chronic renal failure (CRF). Although surgery is the most effective and safe method for drug-refractory SHPT, the condition may persist or recur after the primary surgery, and reoperation is often required in these patients. The purpose of our current study was to evaluate the safety and effectiveness of reoperation for drug-refractory SHPT. Methods:The clinical data of 15 patients requiring reoperation after a surgery for drug-refractory SHPT in our hospital from 2010 to 2019 were retrospectively analyzed. Changes in biochemical markers including intact parathyroid hormone (iPTH), blood calcium (Ca), blood phosphorus (P), alkaline phosphatase (ALP), and blood calcium phosphorus product (Ca*P) were compared before and after the surgery, and the effectiveness and complications of the reoperation were summarized. Results:The reoperation was successful in all the 15 patients after a single attempt. Routine pathological examinations identified a total of 25 parathyroid glands, of which 10 were in the neck in situ, 5 were ectopic in the neck, and 10 were in the forearm. The ectopic parathyroid glands were located inside the thyroid gland (n=1), anterior superior mediastinum (n=1), or thymus (n=3). Surgical treatment significantly improved clinical symptoms such as skin pruritus and bone pain. Blood iPTH, Ca, P, ALP, and Ca*P were significantly reduced (P<0.05 or P<0.01) after surgery. Hypothyroidism occurred in 1 patient; 4 patients undergoing orthotopic neck surgery developed transient hoarseness, which were alleviated within 6 months; no severe complications such as bleeding or death were noted. No recurrence occurred during the 6-month follow-up.Conclusions: Reoperation is safe and effective for drug-refractory SHPT. Preoperative imaging should be performed to achieve accurate positioning, and the recurrent laryngeal nerve should be closely monitored during surgery. The purpose of the reoperation is to remove all possible parathyroid tissues to avoid recurrence.

Objective To identify the clinicopathological features correlated to lymph node metastasis (LNM) in patients with papillary thyroid microcarcinoma (PTMC). Methods Clinical data of 785 PTMC patients who underwent surgical treatment at the Lishui Municipal Central Hospital from September 2008 to December 2017 were retrospectively analyzed. Clinical and pathological risk factors for lymph node metastasis (LNM), central lymph node metastasis (CLNM), and lateral lymph node metastasis (LLNM) were analyzed. Results LNM was found in 236 (30.2%) patients. Multivariate logistic regression analysis revealed that in PTMC, male gender, age < 55 years, tumor size > 5 mm, bilateral lesions, and extrathyroidal extension were independent risk factors for LNM in general and for CLNM. For LLNM, tumor size > 5 mm, multifocal lesions, and extrathyroidal extension were independent risk factors. Conclusions Identification of risk factors for cervical LNM could assist individualization of clinical management for PTMC.

In this study, we examined the association between serum uric acid levels and epilepsy secondary to cerebral infarction. Clinical data including age, gender, epileptic seizure type, imaging, and serum uric acid levels before and after seizures in patients with cerebral infarction that were collected and analyzed. One hundred patients with cerebral infarction but without epilepsy, 147 patients with epilepsy secondary to cerebral infarction, and 55 patients with status epilepticus secondary to cerebral infarction were recruited. Interestingly, epilepsy secondary to cerebral infarction was associated with both reduced uric acid (adjusted OR 2.09; 95% CI 1.07-4.08) and increased uric acid (adjusted OR 4.05; 95% CI 1.99-8.25); however, status epilepsy secondary to cerebral infarction was only associated with increased uric acid (adjusted OR 2.60; 95% CI 1.05-6.45). A U-shaped association between uric acid levels and seizures was observed by using a multivariable logistic regression model with restricted cubic spline. Serum uric acid levels are associated with both epilepsy secondary to cerebral infarction and status epilepticus secondary to cerebral infarction in patients with cerebral infarction. The appropriate intervention of serum uric acid level might be a therapeutic strategy to reduce epileptic seizures or inhibit the development of status epilepticus.

Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is generally used to reveal tumors' biological behavior. Radiomics allows a high-throughput extraction of multiple features from images with artificial intelligence (AI) approaches and develops rapidly worldwide. Quantitative and objective features of medical images have been explored to recognize reliable biomarkers, with the development of PET radiomics. This paper will review the current clinical exploration of PET-based classical machine learning and deep learning methods, including disease diagnosis, the prediction of histological subtype, gene mutation status, tumor metastasis, tumor relapse, therapeutic side effects, therapeutic intervention and evaluation of prognosis. The applications of AI in oncology will be mainly discussed. The image-guided biopsy or surgery assisted by PETbased AI will be introduced as well. This paper aims to present the applications and methods of AI for PET imaging, which may offer important details for further clinical studies. Relevant precautions are put forward and future research directions are suggested.