Abstract
Purpose
The current TNM staging system for papillary thyroid cancer (PTC), which is based on tumor diameter, may not precisely reflect the true tumor burden. Therefore, we investigated whether preoperative tumor volume might more accurately reflect tumor burden and predict prognosis in patients with T1N0 PTC than preoperative tumor diameter.
Materials and Methods
We retrospectively reviewed data from 1,659 patients with T1N0 PTC, and after exclusion, a total of 1,081 patients were ultimately included. Tumor volume (V) was calculated for all patients using preoperative ultrasonography, and patients were grouped according to tumor diameter (T1a vs. T1b) and tumor volume (V1a vs. V1b). The recurrence-free survival (RFS) rates were then compared for these groups.
Results
The mean follow-up time was 66.12±28.75 months, and 97.2% of the cohort experienced RFS. The optimal volume cut-off was defined as 0.545 cm3. There were no differences in RFS rates between T1a/T1b groups (all ages) and V1a/V1b groups (< 45 years of age). However, ≥ 45-year-old patients in the V1b group had a significantly poorer RFS rate than those in the V1a group. These results were confirmed by multivariate analysis.
Papillary thyroid cancer (PTC) is the most common histological subtype of thyroid carcinoma, accounting for > 80% of all thyroid malignancies [1-4]. Improvements in diagnostic modalities (including ultrasonography) have led to a recent and rapid increase in the detection of PTC, especially nonsymptomatic, node-negative, early-stage PTC [5-8]. As defined by the current American Joint Committee on Cancer (AJCC) TNM staging system, T1 PTCs have a diameter of ≤ 2 cm [9]. They are further subclassified as T1a (≤ 1 cm) or T1b (> 1 cm but ≤ 2 cm), which can influence a patient’s treatment plan. Moreover, the 2015 revision of the American Thyroid Association guidelines permits active surveillance instead of immediate surgery in select patients with an intrathyroid tumor diameter of ≤ 1 cm [10].
Although tumor diameter is widely used as the standard for treatment planning, it may not precisely reflect the true tumor burden because tumors do not always have a spherical shape. For example, tumors that are relatively long and narrow would have a lesser tumor volume and burden than those with a diameter equal to that of cylindrical tumors. Ultrasonography has shown that PTCs are typically long and narrow. Therefore, we investigated whether tumor volume would more accurately reflect tumor burden, resulting in more accurate prognosis, compared with tumor diameter. To accomplish this, prognostic values of preoperative tumor volumes were assessed and compared to those of the conventional staging system based on tumor diameter in patients with T1N0 PTC.
This study’s retrospective design was approved by the Institutional Review Board of St. Vincent’s Hospital. We retrospectively reviewed data from 2,585 patients who were diagnosed with thyroid cancer and treated at St. Vincent’s Hospital between February 1982 and December 2012. All patients were treated by total thyroidectomy or lobectomy with isthmectomy, and central lymph node dissection was performed when lymph node metastasis was suspected during the preoperative evaluation. The postoperative pathological reports confirmed that all patients had tumor-free margins. Thyroid-stimulating hormone suppression therapy was administered during the follow-up period, and nonstimulated serum thyroglobulin measurements and neck ultrasonography (with or without neck and chest computed tomography) were routinely performed every 6-12 months.
Among the eligible patients, we identified 1,659 patients with T1N0 PTC. However, to create a homogenous study population, we excluded patients with aggressive histological variants (solid, insular, columnar, tall cell, or diffuse sclerosing), lymphovascular invasion, multifocal malignancies, extrathyroidal extension, or capsular invasion, as well as those who had received postoperative radioactive iodine therapy. We also excluded patients who had a cystic tumor portion or poorly defined margins to ensure that the tumor volume could be accurately calculated. Thus, 1,081 patients were selected for inclusion in this study.
All 1,081 patients had undergone preoperative ultrasonography to examine the thyroid tumor. Three experienced radiologists, each with more than 5 years of thyroid ultrasound experience, had evaluated the tumor’s dimensions (using transverse and sagittal orthogonal scans) and cervical lymph node status. The recorded dimensions were transverse length (T), longitudinal length (L), and depth (D), which allowed us to calculate the tumor’s volume (V) using the ellipsoid formula (V=T [cm]×L [cm]×D [cm]×π/6).
The clinicopathological variables that we evaluated included age at diagnosis, sex, surgery type, histological subtype, and tumor location. All patients were categorized according to tumor diameter as T1a (≤ 1 cm) or T1b (> 1 cm but ≤ 2 cm). We next performed receiver operating characteristic (ROC) curve analysis to estimate the optimal cut-off tumor volume for predicting recurrence. Based on the result of the ROC analysis, we also categorized the patients according to tumor volume as V1a or V1b. To validate the results of the ROC analysis, an internal validation was performed using the 1,000 bootstrap resampling method.
The primary outcome of interest in the study was recurrence-free survival (RFS). RFS was defined as the period between the date of the initial surgery and the first instance of contralateral lobe, locoregional (the operative bed, trachea, strap muscle, or cervical lymph nodes), or distant recurrence or the last follow-up. The presence of a contralateral lobe or locoregional recurrence was based on cytological or histopathological evidence of disease in specimens obtained by fine-needle aspiration biopsy or surgical excision. We did not use serum thyroglobulin levels to identify recurrent disease, as they do not definitively diagnose recurrent or persistent disease in patients who have not undergone total thyroidectomy.
Independent t tests and chi-square tests were used to evaluate inter-group differences in the clinicopathological variables. Survival curves were created using the Kaplan-Meier method and compared using the log-rank test. Multivariate analyses were performed using Cox’s proportional hazard regression model to assess the independent prognostic values of tumor volume and tumor diameter, and hazard ratios and 95% confidence intervals (CIs) were estimated for each variable. Because age is a known prognostic factor in PTC, we also conducted subgroup analyses using a cut-off age of 45 years. All statistical tests were two-sided, and p-values of < 0.05 were considered to indicate significance. All statistical analyses were performed using the SPSS ver. 12.0 (SPSS Inc., Chicago, IL).
The ROC curve analysis (Fig. 1) revealed that the optimal cut-off volume for predicting tumor recurrence was 0.545 cm3, which provided an area under the curve of 0.712 (95% CI, 0.610 to 0.814; p < 0.001; sensitivity 50.0%; specificity 85.3%). Therefore, patients were categorized as having a tumor volume of V1a (≤ 0.545 cm3) or V1b (> 0.545 cm3). The cutoff value obtained from the ROC analysis was internally validated using the bootstrap method. The estimated concordance probability determined by 1,000 repetitions of the bootstrap sample corrections was 0.713 (95% CI, 0.602 to 0.806).
The baseline characteristics of the study cohorts are shown in Table 1. The mean age of the entire cohort was 48.14±10.74 years. Eighty-nine patients were moved from the T1b group to the V1a group (26 were aged < 45 years, and 63 were aged ≥ 45 years). Total thyroidectomy was more performed more often in the T1b group than in the T1a group (55.4% vs. 28.3%, respectively; p < 0.001). Moreover, comparison of groups V1b and V1a revealed significant differences in the number of right lobe tumors (55.0% vs. 53.2%, respectively; p=0.005), isthmus tumors (7.1% vs. 2.5%, respectively; p=0.005), and total thyroidectomies (58.6% vs. 30.4%, respectively; p < 0.001).
Age-based subgroup analyses (Table 2) showed that total thyroidectomy was significantly more frequent in < 45-yearold patients in group T1b than group T1a (44.8% vs. 20.6%, respectively; p < 0.001) and group V1b than group V1a (45.7% vs. 22.2%, respectively; p < 0.001). There were also significantly more histological variants in younger patients in group T1b than group T1a (9.4% vs. 3.4%, respectively; p=0.015). When we compared the ≥ 45-year-old patients in groups T1b and T1a, we found significant differences in the number of right lobe tumors (56.8% vs. 53.0%, respectively; p=0.043), isthmus tumors (5.6% vs. 2.2%, respectively; p=0.043), and total thyroidectomies (61.7% vs. 33.3%, respectively; p < 0.001). When we compared the ≥ 45-year-old patients in groups V1b and V1a, we found similar differences in the number of right lobe tumors (58.6% vs. 53.1%, respectively; p=0.002), isthmus tumors (8.1% vs. 2.1%, respectively; p=0.002), and total thyroidectomies (67.7% vs. 35.5%, respectively; p < 0.001).
The mean follow-up time was 66.12±28.75 months, and 97.2% of the entire cohort experienced RFS. Table 3 provides detailed information regarding tumor recurrence in the study population. Thirty patients experienced tumor recurrence, with 17 cases of contralateral lobe recurrence and 12 cases of locoregional recurrence. Only one patient experienced distant recurrence (lung metastasis), which was detected via chest computed tomography and confirmed by excisional biopsy. None of the patients who were moved from the T1b group to the V1a group experienced tumor recurrence.
There was no significant difference in RFS rates between the T1a and T1b groups (98.2% vs. 94.2%, respectively; p=0.997) or the V1a and V1b groups (98.4% vs. 91.1%, respectively; p=0.253) (Fig. 2A). Multivariate analysis provided similar findings (Table 4).
When we conducted subgroup analyses using a cut-off age of 45 years, no significant differences in RFS rates were observed between the < 45-year-old patients in either the T1a/T1b groups (98.2% vs. 95.8%, respectively; p=0.137) or the V1a/V1b groups (98.3% vs. 94.4%, respectively; p=0.236) (Fig. 2B and C). However, ≥ 45-year-old patients in the V1b group showed significantly poorer RFS rates than those in the V1a group (88.9% vs. 98.4%, respectively; p=0.029) (Fig. 2C). Multivariate analyses revealed no significant agerelated differences in RFS rates between the T1a and T1b groups. However, poorer RFS rates were associated with older patients in group V1b than V1a upon multivariate analysis (hazard ratio, 2.676; 95% CI, 1.075 to 6.661; p=0.034) (Table 4).
The present study assessed the prognostic value of preoperative tumor volume and compared it to that of the conventional staging system based on tumor diameter in patients with T1N0 PTC. We found that tumor volume better predicted tumor recurrence than the conventional staging system in ≥ 45-year-old patients with T1N0 PTC. Accurately measuring the tumor’s diameter may be hindered by the fact that tumors exhibit various shapes; hence, tumor volume may more precisely reflect tumor burden. Several studies have evaluated the prognostic value of tumor volume and tumor diameter in non-thyroid cancers, including non-small cell lung cancer and oropharyngeal cancer [11,12]. Furthermore, Park et al. [13] reported an association between tumor volume and occult central lymph node metastasis in PTC. However, to the best of our knowledge, this is the first study to compare the prognostic value of preoperative tumor diameter and tumor volume in early-stage node-negative papillary cancer.
There is debate regarding whether patients with T1a papillary cancer have a different prognosis than those with T1b papillary cancer [14-16]. Although the current AJCC staging system subdivides T1 disease into T1a and T1b based on a tumor diameter of 1 cm, this subdivision does not affect the final tumor stage as the seventh version of the AJCC staging system defines both T1a and T1b disease as stage 1 for nodenegative patients who are aged ≥ 45 years. This raises the question of whether it is necessary to subdivide T1 disease into T1a and T1b. However, we found a difference in prognosis when we compared ≥ 45-year-old patients in the V1a and V1b groups. Therefore, it may be useful to consider subdividing stage 1 PTC according to tumor volume, especially in patients aged ≥ 45 years, to more precisely predict their prognosis.
In the present study, 89 patients were reclassified from T1b to V1a based on their tumor volume, and none of these patients experienced tumor recurrence. These findings highlight the possibility of misclassification in the current staging system, which is based on tumor diameter. Our results suggest that use of tumor volume for staging might reduce the possibility of misclassification. In addition, it may be appropriate to include tumor volume as a criterion for active surveillance of low-risk PTC in the 2015 revision of the American Thyroid Association guidelines, which currently only consider tumor diameter.
It should be noted that this study has several limitations. First, its single-center retrospective design has well-known risks of bias. Second, discordance between tumor volumes measured via preoperative ultrasonography versus pathology is possible, as is interobserver variation during the approximately 30-year data collection period. However, several studies have reported that preoperative ultrasonography reliably estimates the size of thyroid cancers and has low interobserver variability [17,18]. Third, the relatively short follow-up period and limited number of recurrences might limit the statistical power of our analysis. Therefore, larger studies with prolonged follow-ups should be conducted to validate our findings. Finally, we did not consider genetic data (e.g., BRAF mutation status), which can be useful for predicting prognosis in patients with PTC.
Our findings show that preoperative tumor volume better predicts prognosis than the conventional staging system based on tumor diameter in ≥ 45-year-old patients with T1N0 PTC. Therefore, we suggest that future risk stratification systems should consider tumor volume as a prognostic factor for such patients.
References
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Table 1.
Table 2.
Table 3.
Table 4.
Variable |
Total |
Age < 45 yr |
Age ≥ 45 yr |
|||
---|---|---|---|---|---|---|
HR (95% CI) | p-value | HR (95% CI) | p-value | HR (95% CI) | p-value | |
Tumor diameter | ||||||
T1a | 1 | 1 | 1 | |||
T1b | 1.071 (0.471-2.439)a) | 0.869 | 0.240 (0.026-2.205)b) | 0.207 | 1.685 (0.652-4.352)c) | 0.281 |
Tumor volume | ||||||
V1a | 1 | 1 | 1 | |||
V1b | 1.701 (0.754-3.836)c) | 0.200 | 0.284 (0.031-2.619)a) | 0.267 | 2.676 (1.075-6.661)c) | 0.034 |