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Open Access 02.05.2024 | Original Article

Predicting factors and clinical outcome of biochemical incomplete response in middle eastern differentiated thyroid carcinoma

verfasst von: Sandeep Kumar Parvathareddy, Abdul K. Siraj, Saeeda O. Ahmed, Padmanaban Annaiyappanaidu, Maha Al-Rasheed, Wael Al-Haqawi, Zeeshan Qadri, Saif S. Al-Sobhi, Fouad Al-Dayel, Khawla S. Al-Kuraya

Erschienen in: Endocrine

Abstract

Purpose

The aim of this study was evaluate biochemical incomplete response (BIR) in Middle Eastern differentiated thyroid cancer (DTC), identify factors that could predict BIR before radioactive iodine (RAI) ablation and to investigate the long-term clinical outcome of DTC patient exhibiting BIR to initial therapy.

Methods

We retrospectively evaluated 1286 DTCs from Middle Eastern ethnicity who underwent total thyroidectomy and RAI therapy. Demograpic and clinico-pathological factors predicting BIR were evaluated. The outcome of these patients was analyzed using primary outcome of structural disease and disease-free survival (DFS).

Results

With a median follow-up of 10 years, 266 (20.7%) patients had BIR. High pre-ablation stimulated thyroglobulin (presTg), presence of lymph node metastasis, male gender and delayed initial RAI therapy (≥3 months) after thyroidectomy were significant independent predictors of BIR. Upon evaluating long-term clinical outcomes in 266 patients with BIR, we found 36.8% of patients developed structural disease. Male sex (OR = 1.56; 95% CI = 1.05–2.30; p = 0.0272) and increasing Tg after initial therapy (OR = 4.25; 95% CI = 1.93–10.82; p = 0.0001) were independent risk factors for structural disease in patients with BIR. DFS was significantly worse if both these risk factors existed concomitantly (p < 0.0001).

Conclusion

To achieve the fair efficacy of RAI therapy, early prediction of BIR before RAI ablation is desirable. Our finding of the clinico-pathological factors (high presTg level, LNM, delayed RAI therapy and male gender) could serve as easy and robust early predictors of BIR. In addition, DTC patients exhibiting BIR had a high risk of structural disease and hence personalized management approach would be preferable for BIR patients to ensure best clinical outcome.
Hinweise
These authors contributed equally: Sandeep Kumar Parvathareddy, Abdul K. Siraj
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Differentiated thyroid cancer (DTC), which includes papillary and follicular thyroid cancers, is the most common endocrine malignancy and accounts for 90% of all thyroid malignancies [14]. Therapy modalities of DTC mainly include surgery, radioactive iodine (RAI) therapy and thyrotropin (TSH) suppression therapy [57]. RAI therapy plays a crucial role in the purge of potential residual thyroid cancer and reducing risk of mortality [7, 8]. DTC, with appropriate therapy, tend to have excellent prognosis [7, 9, 10]. However, recurrence and persistence can occur several decades later [1113]. Patients having persistent radioiodine avid lesions usually require long-term surveillance and repeated high dose of RAI [14, 15]. Therefore, it is very important to identify risk factors to predict disease persistence for DTC in order to help clinician to determine the most appropriate follow-up for these patients.
One of the risk assessment tools for persistence and recurrence is dynamic risk stratification (DRS) [7, 16, 17]. Based on an optimal response to initial therapy, DRS is composed of four response groups: excellent, indeterminate, biochemical incomplete and structural incomplete. Biochemical incomplete response (BIR) classification was defined as having persistently abnormal suppressed and/or stimulated thyroglobulin (Tg) or rising anti-Tg antibodies (TgAb) without structural evidence of disease [7]. Patients exhibiting BIR have shown to have a high risk of structural recurrent and persistent disease [18, 19].
Data about BIR in Middle Eastern DTC is limited. Therefore, we conducted this retrospective study on a large cohort of Middle Eastern DTC to determine: 1. The prevalence of BIR in this cohort, 2. Clinico-pathological parameters to predict BIR after surgery and before RAI, and 3. Long-term clinical outcomes of patient with BIR. Furthermore, we tried to investigate the relationship between the timing of initiating RAI therapy and BIR in this cohort.

Materials and methods

Clinical cohort

One-thousand eight-hundred and twenty-two DTC patients diagnosed between 1988 and 2018 at King Faisal Specialist Hospital and Research Center (Riyadh, Saudi Arabia) were available to be included in the study. The patients were included in the study after considering the following inclusion and exclusion criteria:

Inclusion criteria

1.
Pathologically proven DTC post total thyroidectomy
 
2.
Received radioactive iodine ablation post surgery
 
3.
Adequate clinical follow-up data for at least 12 months is available
 

Exclusion criteria

1.
Less than total thyroidectomy (n = 63)
 
2.
No radioactive iodine ablation received (n = 183)
 
3.
Patients with elevated TgAb during follow-up (n = 121)
 
4.
Patients with persistent positive WBS (n = 118)
 
5.
Patients with follow-up duration less than 12 months (n = 51)
 
After applying the inclusion and exclusion criteria, 1286 DTC patients were included for the final analysis. The Institutional Review Board of the hospital approved this study and since only retrospective patient data were used, the Research Advisory Council (RAC) provided waiver of consent under project RAC # 221 1168 and # 2110 031. The study was conducted in accordance with the Declaration of Helsinki.

Clinico-pathological and follow-up data

Baseline clinico-pathological data were collected from case records and have been summarized in Table 1. Staging of DTC was performed using the eighth edition of American Joint Committee on Cancer (AJCC) staging system [16]. Following initial surgery, all patients had pre-ablative stimulated Tg (presTg) evaluated before receiving RAI therapy. Patients were stratified into low, intermediate and high risk based on 2015 ATA guidelines [7]. Low-risk DTC patients were followed up annually, intermediate risk patients were followed up at 6 months’ intervals and high risk patients were followed up at 3 months’ intervals. At each follow-up, neck ultrasound, thyroid function tests, thyroglobulin (Tg) levels and thyroglobulin antibodies were performed. In addition, for high risk patients, whole body scan (WBS) and/or PET CT scan were performed to identify tumor persistence/recurrence. Patients with stimulated Tg of less than 10.0 ng/ml with no clinical or imaging evidence of tumors were considered complete treatment responses. BIR was considered in patients with a raised stimulated serum Tg level (>10 ng/ml) and a negative WBS.
Table 1
Clinico-pathological details of the study cohort (n = 1286)
Clinico-pathological characteristics
n (%)
Age at diagnosis, years (mean ± SD)
38.9 ± 16.5
Gender
 
 Male
322 (25.0)
 Female
964 (75.0)
Tumor laterality
 
 Unilateral
858 (66.7)
 Bilateral
421 (32.7)
 Unknown
7 (0.6)
Tumor focality
 
 Unifocal
638 (49.6)
 Multifocal
642 (49.9)
 Unknown
6 (0.5)
Extrathyroidal extension
 
 Present
552 (42.9)
 Absent
724 (56.3)
 Unknown
10 (0.8)
pN
 
 N0
499 (38.8)
 N1
664 (51.6)
 Nx
123 (9.6)
Distant metastasis at diagnosis
 
 Present
72 (5.6)
 Absent
1214 (94.4)
Stage
 
 I
1087 (84.5)
 II
137 (10.6)
 III
14 (1.1)
 IV
47 (3.7)
 Unknown
1 (0.1)
BRAF mutation
 
 Present
672 (52.2)
 Absent
540 (42.0)
 Unknown
74 (5.8)
TERT mutation
 
 Present
150 (11.7)
 Absent
1010 (78.5)
 Unknown
126 (9.8)
Interval to RAI therapy
 
 <3 months
630 (49.0)
 ≥3 months
656 (51.0)
ATA risk stratification
 
 Low
198 (15.4)
 Intermediate
450 (35.0)
 High
638 (49.6)

BRAF and TERT mutation analysis

BRAF and TERT mutation data for the DTC cohort was available from our previous studies [20, 21].

Statistical analysis

The associations between clinico-pathological variables and BIR was performed using contingency table analysis and Chi square tests or Mann-Whitney U test for categorical and continuous variables, respectively. Disease-free survival (DFS) was determined using Kaplan-Meier estimates. DFS was defined as the time from diagnosis to the occurrence of recurrent disease or death. Logistic regression analysis was used for analyzing the prognostic factors that could predict BIR and structural persistent disease, in univariate and multivariate manner. Two-sided tests were used for statistical analyses with a limit of significance defined as p value < 0.05. Data analyses were performed using the JMP14.0 (SAS Institute, Inc., Cary, NC) software package.
Receiver operating characterisitcs (ROC) curve analysis was performed using MedCalc software, version 10.4.7.0 for Windows (MedCalc, Ostend, Belgium).

Results

Patient and tumor characteristics

Mean age of the entire cohort was 38.9 years, with a male: female ratio of 1:3. 32.7% (421/1286) of tumors were bilateral and 49.9% (642/1286) were multifocal. Extrathyroidal extension was noted in 42.9% (552/1286) of DTCs. Regional lymph node metastasis (LNM) was noted in 51.6% (664/1286) of cases and distant metastasis at diagnosis was present in 5.6% (72/1286). Frequency of BRAF and TERT mutations was 52.2% (672/1286) and 11.7% (150/1286), respectively. 49.0% (630/1286) of the DTC patients received RAI therapy within 3 months of surgery (Table 1).

Clinico-pathological characteristics associated with BIR

BIR was noted in 20.7% (266/1286) of DTCs and was significantly associated with male gender (p = 0.0105), larger tumor size (p = 0.0003), bilateral tumors (p = 0.0025), multifocality (p = 0.0214), extrathyroidal extension (p = 0.0013), lymph node metastasis (p < 0.0001), distant metastasis at diagnosis (p < 0.0001), advanced tumor stage (p = 0.0025), higher presTg levels (p < 0.0001), ATA high-risk category (p = 0.0089) and TERT mutation (p < 0.0001). Interestingly, we also found a significant association between BIR and ≥ three months interval to initiation of RAI therapy after surgery (p < 0.0001) (Table 2).
Table 2
Association between clinico-pathological parameters with biochemical incomplete response
Clinico-pathological variables
Biochemical incomplete response (n = 266)
Complete response
(n = 1020)
p value
Age at diagnosis, years (mean ± SD)
39.3 ± 15.4
37.2 ± 20.0
0.1113
Gender
   
 Male
83 (31.2%)
239 (23.4%)
0.0105
 Female
183 (68.8%)
781 (76.6%)
 
Tumor diameter (cm)
3.4 ± 2.3
2.9 ± 1.9
0.0003
Tumor laterality
   
 Unilateral
155 (59.2%)
703 (69.1%)
0.0025
 Bilateral
107 (40.8%)
314 (30.9%)
 
Tumor focality
   
 Unifocal
114 (43.5%)
524 (51.5%)
0.0214
 Multifocal
148 (56.5%)
494 (48.5%)
 
Extrathyroidal extension
   
 Present
136 (52.1%)
416 (41.0%)
0.0013
 Absent
125 (47.9%)
599 (59.0%)
 
pN
   
 N0
61 (27.0%)
438 (46.7%)
<0.0001
 N1
165 (73.0%)
499 (53.3%)
 
Distant metastasis at diagnosis
   
 Present
32 (12.0%)
40 (3.9%)
<0.0001
 Absent
234 (88.0%)
980 (96.1%)
 
Stage
   
 I
206 (77.4%)
881 (86.5%)
0.0025
 II
39 (14.7%)
98 (9.6%)
 
 III
3 (1.1%)
11 (1.1%)
 
 IV
18 (6.8%)
29 (2.8%)
 
presTg (ng/ml)
159.3 ± 237.2
8.4 ± 19.9
<0.0001
BRAF mutation
   
 Present
122 (50.8%)
550 (56.6%)
0.1091
 Absent
118 (49.2%)
422 (43.4%)
 
TERT mutation
   
 Present
50 (21.7%)
100 (10.8%)
<0.0001
 Absent
181 (78.3%)
829 (89.2%)
 
Interval to RAI therapy
   
 <3 months
100 (37.6%)
530 (52.0%)
<0.0001
 ≥3 months
166 (62.4%)
490 (48.0%)
 
ATA risk stratification
   
 Low
27 (10.2%)
171 (16.8%)
0.0089
 Intermediate
90 (33.8%)
360 (35.3%)
 
 High
149 (56.0%)
489 (47.9%)
 
All the significant variables for BIR on univariate analysis were included for multivariate analysis, except for stage since it depends on other variables such as extrathyroidal extension, LNM and distant metastasis (which are already included for multivariate analysis). On multivariate logistic regression analysis, male gender (Odds ratio (OR) = 1.60; 95% confidence interval (CI) = 1.07–2.39; p = 0.0231), lymph node metastasis (LNM) (OR = 1.61; 95% CI = 1.06–2.45; p = 0.0267), higher presTg levels (OR = 1.05; 95% CI = 1.04–1.06; p < 0.0001) and interval to initiation of RAI therapy of ≥ three months (OR = 2.24; 95% CI = 1.51–3.32; p < 0.0001) were found to be independent predictors of BIR (Table 3).
Table 3
Multivariate logistic regression analysis for clinico-pathological predictors of biochemical incomplete response
Covariate
Odds ratio
95% confidence interval
p value
Sex
   
 Male (vs. Female)
1.60
1.07–2.39
0.0231
Tumor laterality
   
 Bilateral (vs. unilateral)
1.66
0.94–2.91
0.0791
Tumor focality
   
 Multifocal (vs. unifocal)
1.00
0.57–1.75
0.9954
Extrathyroidal extension
   
 Present (vs. absent)
1.06
0.67–1.69
0.8003
Tumor size
   
 (per unit change)
0.95
0.85–1.05
0.2934
Lymph node metastasis
   
 Present (vs. absent)
1.61
1.06–2.45
0.0267
Distant metastasis at diagnosis
   
 Present (vs. absent)
0.78
0.32–1.89
0.5801
presTg level
   
 (per unit change)
1.05
1.04–1.06
<0.0001
TERT mutation
   
 Present (vs. absent)
1.38
0.79–2.42
0.2607
Interval to RAI therapy
   
 ≥ 3 months (vs. < 3 months)
2.24
1.51–3.32
<0.0001
ATA risk stratification
   
 Low
1.00
Reference
 
 Intermediate
1.12
0.69–1.83
0.6405
 High
2.32
0.98–5.48
0.0554

Diagnostic accuracy of presTg for predicting BIR

ROC curve was drawn to determine the diagnostic accuracy and cut-off value of presTg in identifying BIR in our cohort. Area under the curve (AUC) was 0.920 (95% CI = 0.904–0.934, p < 0.001) (Fig. 1). From the available cut-off values for presTg, the best cut-off value was ≥10 ng/ml (sensitivity = 95.1%, specificity = 81.3%). Negative predictive value (NPV) and positive predictive value (PPV) for BIR at presTg cut-off of 10 ng/ml were 98.5% and 57.0%, respectively. However, a cut-off of ≥ 6.9 ng/ml had a higher sensitivity (96.2%) and a reasonable specificity (73.8%), with NPV and PPV of 99.2% and 46.0%, respectively. The unadjusted odds ratio for BIR at presTg level of 10 ng/ml and 6.9 ng/ml was 84.5 (95% CI = 47.3–150.7, p < 0.0001) and 101.6 (95% CI = 44.7–230.7, p < 0.0001), respectively.

Long-term clinical outcomes in patients with BIR

We next sought to determine the incidence and associations of structural disease in patients with BIR during follow-up. During a median follow-up of 9.8 years, 36.8% (98/266) of patients with BIR developed structural disease. On multivariate logistic regression analysis, male gender (OR = 1.56; 95% CI = 1.05–2.30; p = 0.0272) and increasing Tg levels during follow-up (OR = 4.25; 95% CI = 1.93–10.82; p = 0.0001) were independent predictors of structural disease in patients with BIR (Table 4).
Table 4
Predictors of structural disease in patients with biochemical incomplete response
Covariate
Univariate analysis
Multivariate analysis
 
OR (95% CI)
P value
OR (95% CI)
P value
Age (≥55 years)
2.10 (1.37–3.15)
0.0010
1.49 (0.90–2.39)
0.1214
Sex (male)
1.53 (1.05–2.19)
0.0254
1.56 (1.05–2.30)
0.0272
Laterality (Bilateral)
1.02 (0.70–1.48)
0.9000
  
Focality (Multifocal)
0.94 (0.66–1.36)
0.7539
  
Extrathyroidal extension (present)
1.15 (0.80–1.66)
0.4380
  
Lymphovascular invasion (present)
1.14 (0.77–1.66)
0.5153
  
LN metastasis
1.07 (0.70–1.67)
0.7493
  
Tumor size (>2 cm)
1.45 (0.96–2.23)
0.0783
  
Distant metastasis
1.42 (0.79–2.36)
0.2291
  
TNM staging
    
 I
1.00 (reference)
   
 II
0.67 (0.23–1.55)
0.3729
  
 III
3.03 (0.87–5.61)
0.0958
  
 IV
3.00 (0.81–4.88)
0.1024
  
 BRAF mutation
1.19 (0.82–1.72)
0.3544
  
 TERT mutation
2.05 (1.33–3.07)
0.0015
1.31 (0.80–2.11)
0.2748
According to changes in serum Tg and TgAb values
 
 Increasing TgAb group
1.00 (reference)
 
1.00 (reference)
 
 Decreasing Tg group
1.60 (0.89–2.40)
0.0760
1.43 (0.93–2.23)
0.1066
 Increasing Tg group
5.47 (3.03–10.65)
< 0.0001
4.25 (1.93–10.82)
0.0001
ATA risk stratification
    
 Low
1.00 (reference)
 
1.00 (reference)
 
 Intermediate
1.27 (0.67–2.59)
0.4736
0.73 (0.36–1.58)
0.4051
 High
2.17 (1.23–2.59)
0.0065
1.35 (0.74–2.71)
0.3499
OR idds ratio, CI confidence interval
Based on the number of independent risk factors (male gender and increasing Tg levels during follow-up), patients were divided into 3 groups: low risk (no risk factors); intermediate risk (any one risk factors); and high risk (both risk factors). Risk stratification was performed for 266 patients with BIR with regards to DFS. 36.8% (98/266), 51.1% (136/266) and 12.0% (32/266) of patients were classified as low-, intermediate- and high-risk, respectively. 10-year DFS rates in the low-, intermediate- and high-risk groups were 82.3%, 50.6%, and 21.4%, respectively. DFS was significantly different among the three risk group, being worst in high-risk group (p < 0.0001) (Fig. 2).

Discussion

RAI therapy is a well-established therapeutic modality for DTC patients. Despite excellent prognosis, a significant percentage of DTCs develop biochemical incomplete response (BIR) [18, 22, 23]. Data on prevalence of BIR, clinico-pathological and biochemical risk factors to predict BIR after surgery and before radioiodine ablation in DTC patients from Middle Eastern ethnicity is not fully explored. Therefore, we conducted this retrospective study to evaluate BIR prevalence as well as predictive markers after surgery and before RAI therapy. In addition, we also evaluated long-term clinical outcomes of DTC patients showing BIR following initial therapy.
In this retrospective study of 1286 DTC patients, we noted that 20.7% (266/1286) of the patients show BIR. This incidence is consistent with a previous report [24]. However, a recent study has identified higher incidence (~36%) of BIR and have attributed this to the fact that most of their patients belong to intermediate or high risk categories [18]. In our study as well, ~90% of BIR patients are in the intermediate or high-risk category.
We further evaluated multiple clinico-pathological, biochemical and molecular markers to predict the risk of BIR before radioiodine ablation. In our study, we noted four risk factors as significant predictors of BIR on multivariant analysis: presTg, the time interval between thyroidectomy and first dose of RAI therapy (≥ 3 months), male gender, and LNM. Several previous reports have identified the impact of post-operative TSH stimulated Tg in predicting persistent and/or recurrent disease in DTC [2528]. Our result is consistent with a recent study that found BIR risk to be very high in patients who had high presTg [18].
In our study, we found that presTg ≥6.9 ng/ml had 96.2% sensitivity to predict BIR prior to RAI ablation. We further noted that low presTg (<6.9 ng/ml) had excellent NPV (99.2%) to rule out BIR. We found reasonable specificity for presTg cutoff ≥10 ng/dl (specificity = 80.6%). As opposed to high NPV, the PPV of presTg over 10 ng/ml was quite low (57%). However, the main value of presTg is as a negative predictor of BIR when presTg values are low. Although the predictive value of presTg below 10 ng/ml (which is routinely used) has been demonstrated in our analysis, it is likely that lower cutoffs such as 6.9 ng/ml suggested by ROC curve would demonstrate an even higher NPV, albeit for a smaller group of patients.
Interestingly, our study has identified that the timing of initiating radioiodine adjuvant therapy could be a significant predictor of BIR in patients from this ethnicity. Although, the current DTC guidelines have no recommendation for timing of RAI [7], several previous studies have explored the relationship between RAI initiating time and DTC clinical outcome with conflicting conclusions [23, 2931]. Our study showed that delayed initial RAI (≥ 3 months after thyroidectomy) was an independent predictor of BIR in this cohort.
Another interesting finding in this study was the association between BIR and male gender. Sex disparity in the incidence of DTC and its effect have been well documented [3234]. However, the impact of gender on DTC from Middle Eastern ethnicity appears to be more pronounced as we have identified in our recent study [35] that male sex was an independent prognostic factor for recurrence-free survival in PTC.
We found that presence of LNM was an independent predictor of BIR in this cohort. This is in concordance with several previous studies, where LNM was shown to be associated with unfavorable outcome in DTC patients [3638].
We further sought to evaluate the long-term outcome of BIR patients in this cohort. With a median follow-up of 9.8 years, 36% of patients had structural disease, which was found to be significantly associated with male gender and increasing Tg after initial therapy even in multivariant analysis. According to the number of risk factors, risk stratification related to poor DFS was attempted: low-risk group (having no risk factor), intermediate-risk-group (having any one risk factor), and high-risk group (having both risk factors). 10-year DFS rates in the low-, intermediate- and high-risk groups were 82.3%, 50.6%, and 21.4%, respectively. DFS was significantly different among the three risk groups, being worst in the high-risk group. Our findings suggest that a risk adaptive management in patients with BIR could be beneficial.
Our research has a few limitations. First, it was a single-center, retrospective study due to which bias cannot be excluded. Second, the study involved a specific ethnicity, which could prevent generalizing the findings on other patient populations.

Conclusion

We have identified easy and robust markers to predict BIR. We found that high presTg level, LNM, delayed RAI therapy (≥ 3 months) and male gender warrant higher future probabity of BIR even before RAI therapy. In addition, DTC patients exhibiting BIR had a high risk of structure disease and hence risk adaptive management is encouraged for BIR patients. Thorough disease surveillance is required for BIR patients and close attention should be given to male patients and patients with increasing Tg since they significantly impact clinical outcome in BIR patients.

Acknowledgements

We would like to thank Kaleem Iqbal and Nabil Siraj for their technical assistance.

Author contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Sandeep Kumar Parvathareddy, Abdul K. Siraj, Saeeda O. Ahmed, Padmanaban Annaiyappanaidu,Maha Al-Rasheed, Wael Al-Haqawi and Zeeshan Qadri. Clinical assistance was provided by Saif S. Al-Sobhiand Fouad Al-Dayel. The first draft of the manuscript was written by Khawla S. Al-Kuraya and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Conflict of interest

The authors declare no competing interests.

Ethics

The Institutional Review Board of King Faisal Specialist Hospital and Research Centre (Riyadh, Saudi Arabia)approved this study and since only retrospective patient data were used, the Research Advisory Council (RAC) provided waiver of consent under project RAC # 221 1168 and # 2110 031. The study was conducted in accordance with the Declaration of Helsinki.All cases were de-identified, and all clinical-pathological data were accessed anonymously.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Metadaten
Titel
Predicting factors and clinical outcome of biochemical incomplete response in middle eastern differentiated thyroid carcinoma
verfasst von
Sandeep Kumar Parvathareddy
Abdul K. Siraj
Saeeda O. Ahmed
Padmanaban Annaiyappanaidu
Maha Al-Rasheed
Wael Al-Haqawi
Zeeshan Qadri
Saif S. Al-Sobhi
Fouad Al-Dayel
Khawla S. Al-Kuraya
Publikationsdatum
02.05.2024
Verlag
Springer US
Erschienen in
Endocrine
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-024-03844-x

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