Clinical and Histopathological Risk Factors for Radioactive Iodine Refractory Follicular and Oncocytic Thyroid Carcinoma.

INTRODUCTION: Risk factors for radioactive iodine (RAI)-refractory disease in follicular (FTC) and oncocytic thyroid carcinoma (OTC) are unknown. Therefore, the aim of this study is to identify clinical and histopathological risk factors for RAI-refractory disease in FTC and OTC patients, facilitated by an extensive histopathological revision. METHODS: All adult FTC and OTC patients treated at Erasmus MC (the Netherlands) between 2000 and 2016 were retrospectively included. 2015 ATA Guidelines were used to define RAI-refractory disease. An extensive histopathological revision was performed applying the 2022 WHO Classification using Palga: Dutch Pathology Databank. Logistic regression was used to identify risk factors for RAI-refractory disease, stratified for histological subtype. RESULTS: Ninety FTC and 52 OTC patients were included, of which 14 FTC (15.6%) and 22 OTC (42.3%) developed RAI-refractory disease over a follow-up time of 8.5 years. RAI-refractory disease occurred in OTC after fewer cycles than in FTC (2.0 [IQR: 1.0-2.0] vs 2.5 [IQR: 2.0-3.75]), and it substantially decreased the 10-year disease specific survival, especially in OTC (46.4%; FTC 85.7%). In FTC, risk factors were higher age at diagnosis, pT3/pT4-stage, N1-stage, widely invasive tumors and extra-thyroidal extension. N1-stage and M1-stage were the strongest risk factors in OTC, rather than histopathological characteristics of the primary tumor. CONCLUSION: To our knowledge, this is the first study that correlates clinical and histopathological risk factors with RAI-refractory disease in FTC and OTC, facilitated by a histopathological revision. In FTC, risk factors for RAI-refractory disease were foremost histopathological characteristics of the primary tumor, whereas in OTC presentation with lymph node and distant metastasis was associated with RAI-refractory disease. Our data can help clinical decision making, particularly in patients at risk for RAI-refractory disease.

Tumor size and presence of metastases in differentiated thyroid cancer: comparing cohorts from two countries.

OBJECTIVE: Incidence of thyroid cancer varies widely, even across neighboring countries. Data on this phenomenon are largely lacking but are likely related to differences in health care systems. Therefore, we explored whether there are differences between populations from these 2 countries with respect to the relationship between tumor size and advanced disease. METHODS: We retrospectively studied 2 cohorts of adult differentiated thyroid cancer (DTC) patients from a Dutch and a German university hospital. We analyzed the presence of lymph node metastases with respect to tumor size for papillary thyroid cancer (PTC), and the presence of distant metastases for DTC, and PTC and follicular thyroid cancer (FTC) separately. RESULTS: We included 1771 DTC patients (80% PTC, 20% FTC; 24% lymph node and 8% distant metastases). For PTC, the proportion of patients with lymph node metastases was significantly higher in the Dutch than in the German population for tumors ≤ 1 cm (45% vs. 14%; P < .001). For DTC, distant metastases occurred particularly significantly more frequently in the Dutch than in the German population for tumors ≤ 2 cm (7% vs. 2%; P = .004). CONCLUSION: The presence of lymph node and distant metastases is significantly higher in pT1 DTC cases in the Dutch compared to the German cohort, which might be caused by differences in the indication for and application of diagnostic procedures eventually leading to DTC diagnosis. Our results implicate that one should be cautious when extrapolating results and guidelines from 1 country to another.

Evaluating Disease-specific Survival Prediction of Risk Stratification and TNM Systems in Differentiated Thyroid Cancer.

BACKGROUND: Many countries have national guidelines for the management of differentiated thyroid cancer (DTC), including a risk stratification system to predict recurrence of disease. Studies whether these guidelines could also have relevance, beyond their original design, in predicting survival are lacking. Additionally, no studies evaluated these international guidelines in the same population, nor compared them with the TNM system. Therefore, we investigated the prognostic value of 6 stratification systems used by 10 international guidelines, and the TNM system with respect to predicting disease-specific survival (DSS). METHODS: We retrospectively studied adult patients with DTC from a Dutch university hospital. Patients were classified using the risk classification described in the British, Dutch, French, Italian, Polish, Spanish, European Society of Medical Oncology, European Thyroid Association, the 2009 and 2015 American Thyroid Association (ATA) guidelines, and the latest TNM system. DSS was analyzed using the Kaplan-Meier method, and the statistical model performance using the C-index, Akaike information criterion, Bayesian information criterion, and proportion of variance explained. RESULTS: We included 857 patients with DTC (79% papillary thyroid cancer, 21% follicular thyroid cancer). Median follow-up was 9 years, and 67 (7.8%) died because of DTC. The Dutch guideline had the worst statistical model performance, whereas the 2009 ATA/2014 British guideline had the best. However, the (adapted) TNM system outperformed all stratification systems. CONCLUSIONS: In a European population of patients with DTC, of 10 international guidelines using 6 risk of recurrence stratification systems and 1 mortality-based stratification system, our optimized age-adjusted TNM system (8th edition) outperformed all other systems.

Evaluating the use of a two-step age-based cutoff for the UICC/AJCC TNM staging system in patients with papillary or follicular thyroid cancer.

BACKGROUND: The joint Union International Contre le Cancer and American Joint Committee on Cancer (UICC/AJCC) Tumor, Node, Metastasis (TNM) staging system for differentiated thyroid cancer (DTC) involves a single age cutoff as a prognostic criterion. Because a single cutoff is a dichotomization of what might be a sliding scale, using multiple age cutoffs might result into a better stage definition. The aim of our study was to investigate if using a two-step age-based cutoff would improve the TNM staging system regarding disease-specific survival (DSS). METHODS: We retrospectively studied two cohorts of adult DTC patients from The Netherlands and Germany. DSS was analyzed for papillary (PTC) and follicular thyroid cancer (FTC) separately, investigating several two-step age-based cutoffs for those with distant metastases; below lower threshold classified as stage I, between lower and upper threshold as stage II, and above upper threshold as stage IV. RESULTS: We included 3074 DTC patients (77% PTC). For PTC, an age cutoff of 45 with 50 years had the best statistical model performance, while this was 25 with 40 years for FTC. However, differences with the optimal single age cutoffs of 50 years for PTC and 40 years for FTC were small. CONCLUSIONS: The optimal two-step age-based cutoff to predict DSS is 45 with 50 years for PTC and 25 with 40 years for FTC, rather than 55 years currently used for DTC. Although these two-step age-based cutoffs were marginally better from a statistical point of view, from a clinical point of view, the recently defined optimal single age cutoffs of 50 years for PTC and 40 years for FTC might be preferable.

The influence of age on disease outcome in 2015 ATA high-risk differentiated thyroid cancer patients.

OBJECTIVE: Recent research suggests that the addition of age improves the 2015 American Thyroid Association (ATA) Risk Stratification System for differentiated thyroid cancer (DTC). The aim of our study was to investigate the influence of age on disease outcome in ATA-high risk patients with a focus on differences between patients with papillary (PTC) and follicular thyroid cancer (FTC). METHODS: We retrospectively studied adult patients with high-risk DTC from a Dutch University hospital. Logistic regression and Cox proportional hazards models were used to estimate the effects of age (at diagnosis) and several age cutoffs (per 5 years increment between 20 and 80 years) on (i) response to therapy, (ii) developing no evidence of disease (NED), (iii) recurrence, and (iv) disease-specific mortality (DSM). RESULTS: We included 236 ATA high-risk patients (32% FTC) with a median follow-up of 6 years. Age, either continuously or dichotomously, had a significant influence on having an excellent response after initial therapy, developing NED, recurrence, and DSM for PTC and FTC. For FTC, an age cutoff of 65 or 70 years showed the best statistical model performance, while this was 50 or 60 years for PTC. CONCLUSIONS: In a population of patients with high-risk DTC, older age has a significant negative influence on disease outcomes. Slightly different optimal age cutoffs were identified for the different outcomes, and these cutoffs differed between PTC and FTC. Therefore, the ATA Risk Stratification System may further improve should age be incorporated as an additional risk factor.

Finding the Optimal Age Cutoff for the UICC/AJCC TNM Staging System in Patients with Papillary or Follicular Thyroid Cancer.

Background: Differentiated thyroid cancer (DTC) is the only cancer entity for which the UICC/AJCC (Union for International Cancer Control and American Joint Committee on Cancer) TNM (tumor-node-metastasis) staging system involves an age cutoff as a prognostic criterion. However, the optimal age cutoff has not yet been determined in detail. The aim of our study was therefore to investigate the optimal age cutoff for the TNM staging system to predict disease-specific survival (DSS) with a focus on differences between patients with papillary thyroid cancer (PTC) and follicular thyroid cancer (FTC). Methods: We retrospectively studied two large well-described cohorts of adult DTC patients from a Dutch and a German university hospital. DSS was analyzed for DTC overall, and for PTC and FTC separately, using several age cutoffs (per 5-year increment between 20 and 85 years and subsequently 1-year increments between 35 and 55 years), employing the histopathological criteria from the TNM staging system, eighth edition. Results: We included 3074 DTC patients (77% PTC and 23% FTC; mean age at diagnosis was 49 years). Median follow-up was seven years. For DTC and for PTC and FTC separately, the majority of the age cutoffs had a better statistical model performance than a model with no age cutoff. For DTC overall and for PTC, an age cutoff of 50 years had the best statistical model performance, while it was 40 years for FTC. Conclusions: In this large European population of DTC patients, when employing the histopathological criteria of the TNM system (eighth edition), the optimal age cutoff to predict DSS is 50 years rather than the 55 years currently in use. With the optimal age cutoff being 50 years for PTC and 40 years for FTC, there was a substantial difference in age cutoff for the respective histological entities. Therefore, implementation of different age cutoffs for PTC and FTC could improve the predictive value of the TNM staging system.

Evaluation of the 2015 ATA Guidelines in Patients With Distant Metastatic Differentiated Thyroid Cancer.

CONTEXT: Current American Thyroid Association (ATA) Management Guidelines for the treatment of differentiated thyroid cancer (DTC) stratify patients to decide on additional radioiodine (RAI) therapy after surgery, and to predict recurring/persisting disease. However, studies evaluating the detection of distant metastases and how these guidelines perform in patients with distant metastases are scarce. OBJECTIVE: To evaluate the 2015 ATA Guidelines in DTC patients with respect to 1) the detection of distant metastases, and 2) the accuracy of its Risk Stratification System in patients with distant metastases. PATIENTS AND MAIN OUTCOME MEASURES: We retrospectively included 83 DTC patients who were diagnosed with distant metastases around the time of initial therapy, and a control population of 472 patients (312 low-risk, 160 intermediate-risk) who did not have a routine indication for RAI therapy. We used the control group to assess the percentage of distant metastases that would have been missed if no RAI therapy was given. RESULTS: Two hundred forty-six patients had no routine indication for RAI therapy of which 4 (1.6%) had distant metastases. Furthermore, among the 83 patients with distant metastases, 14 patients (17%) had excellent response, while 55 (67%) had structural disease after a median follow-up of 62 months. None of the 14 patients that achieved an excellent response had a recurrence. CONCLUSIONS: In patients without a routine indication for RAI therapy according to the 2015 ATA Guidelines, distant metastases would initially have been missed in 1.6% of the patients. Furthermore, in patients with distant metastases upon diagnosis, the 2015 ATA Guidelines are an excellent predictor of both persistent disease and recurrence.

Evaluating the 2015 American Thyroid Association Risk Stratification System in High-Risk Papillary and Follicular Thyroid Cancer Patients.

Background: The 2015 American Thyroid Association (ATA) Risk Stratification System for differentiated thyroid cancer (DTC) is designed to predict recurring/persisting disease but not survival. Earlier studies evaluating this system evaluated the 2009 edition, comprised a low number of patients with ATA high-risk, had low numbers of patients with follicular thyroid cancer (FTC), or did not distinguish between papillary and FTC. Therefore, we evaluated the prognostic value of the 2015 ATA Risk Stratification System in a large population of high-risk thyroid cancer patients, which included a substantial proportion of FTC patients. Methods: We retrospectively studied adult patients with DTC who were diagnosed and/or treated at a Dutch university hospital between January 2002 and December 2015. All patients fulfilled the 2015 ATA high-risk criteria. Overall survival and disease-specific survival (DSS) were analyzed using the Kaplan-Meier method. Logistic regression and Cox proportional hazards models were used to estimate the effects of DTC subtype and ATA high-risk criteria on response to therapy, recurrence, as well as survival. Results: We included 236 patients with high-risk DTC (32% FTC) with a mean age of 56 years. Median follow-up was 6 years. At final follow-up, 69 patients (29%) had excellent response, while 120 (51%) had structural disease. All high-risk criteria, except large pathologic lymph nodes, were inversely related to excellent response and positively related to structural disease at final follow-up. During follow-up, 14% of the 79 patients who achieved excellent response developed a recurrence. Finally, 10-year DSS was much higher in the initial excellent response than in the initial structural disease group (100% vs. 61%, respectively). Conclusions: In a population of high-risk DTC patients harboring a large subset of FTC patients, the 2015 ATA Risk Stratification System is not only an excellent predictor of persisting disease but also of survival. As much as 14% of the high-risk patients who had an excellent response upon dynamic risk stratification experienced a recurrence during follow-up. Clinicians should thus be aware of the relatively high recurrence risk in these patients, even after an excellent response to therapy.

Comparing the Prognostic Value of the Eighth Edition of the American Joint Committee on Cancer/Tumor Node Metastasis Staging System Between Papillary and Follicular Thyroid Cancer.

BACKGROUND: Recently, the eighth edition of the American Joint Committee on Cancer (AJCC)/tumor node metastasis (TNM) staging system for differentiated thyroid cancer (DTC) was published. Studies evaluating this new edition have so far only comprised patients with papillary thyroid cancer (PTC) or made no distinction between PTC and follicular thyroid cancer (FTC). Therefore, this study evaluated the prognostic value of the eighth edition of the AJCC/TNM staging system in a European population with DTC, focusing on potential differences between PTC and FTC. METHODS: Adult patients with DTC who were diagnosed and/or treated at a Dutch university hospital between January 2002 and April 2016 were retrospectively studied. Overall survival (OS) and disease-specific survival (DSS) were analyzed for DTC and for PTC and FTC separately according to the seventh and eighth editions using the Kaplan-Meier method. Cox's proportional hazards model was used to compare the effect of PTC and FTC on survival. The statistical model performance was assessed using the C-index, Akaike information criterion (AIC), and the Bayesian information criterion. RESULTS: The study included 792 patients with DTC (79% PTC, 21% FTC) with mean age of 49 years. Median follow-up was 7.2 years. Reclassification using the eighth edition resulted in the downstaging of 282 (36%) patients, an increased number of patients in stages I and II, and an equivalent decrease in patients with stages III and IV. For DTC, as well as for PTC and FTC separately, stage at diagnosis was significantly related to both OS and DSS (p < 0.001). When using the seventh edition, FTC patients had a significantly lower survival rate than PTC patients in stage I and stage IV for OS, and in stage IV for DSS. This difference in survival rates disappeared using the eighth edition. In general, the statistical model performance was better for the eighth than for the seventh edition. CONCLUSIONS: In a European population of patients with DTC, the eighth edition of the AJCC/TNM staging system is a better predictor for both OS and DSS than the previous seventh edition for both PTC and FTC. Furthermore, differences in survival rates between PTC and FTC that were present using the seventh edition disappeared using the eighth edition, implying that this new edition is predicting well, regardless of DTC subtype.

Screening for Atypical Femur Fractures Using Extended Femur Scans by DXA.

Atypical femur fractures (AFFs) are a rare but serious complication associated with the use of antiresorptive drugs such as bisphosphonates. Assessment of incomplete AFFs on extended femur scans by dual-energy X-ray absorptiometry (DXA) may prevent the development of complete fractures. The aim of this study was to evaluate the potential of extended femur scans by DXA as a screening tool for incomplete AFFs. From June 2014 until September 2016, extended femur scans were routinely performed in all consecutive patients undergoing DXA scanning who had used bisphosphonates or denosumab at any given moment in the previous year. When "beaking" was found, defined as a localized periosteal or endosteal thickening of the lateral cortex, a radiograph of the femur was performed to confirm incomplete AFF. Beaking was detected in 12 of 282 patients (4.3%) with extended scans of both femora. In 9 patients (3.2%), beaking corresponded with the radiological presence of incomplete AFFs, of whom 4 already had an X-ray made because of a previous complete AFF of the other leg. Five patients (1.8%) were newly diagnosed with 6 yet unknown incomplete AFFs. No additional X-ray was performed in 2 patients because of loss of follow-up. Beaking was explained by known soft tissue calcifications in 1 patient. The positive predictive value of beaking on extended femur scan was 83.3% in our study. Three cases in whom the new diagnosis of incomplete AFF has affected medical and surgical treatment are further discussed to illustrate the relevance of early detection. We conclude that extended femur scans by DXA can detect incomplete AFFs in patients on antiresorptive treatment and should therefore be considered a clinically relevant screening tool because early identification of AFFs has therapeutic consequences. © 2017 American Society for Bone and Mineral Research.