Abstract
Background
and objective: The Bethesda System for Reporting Thyroid
Cytopathology (TBSRTC) is a widely used system of reporting currently helping
in the management of thyroid nodules, which are common and mostly benign. The
American College of Radiology Thyroid Imaging Reporting and Data System
(ACR-TIRADS) is also a widely used classification system that has helped in
screening for nodules requiring subsequent fine needle aspiration cytology, but
the correlation between the two systems has not been established in our setup.
This study aims to determine the level of concordance between the cytology
category based on TBSRTC 2017 and the ultrasound TIRADS category based on
ACR-TIRADS 2017.
Methodology:
It
was a prospective cross-sectional study over 6 months that included 92 patients
with thyroid nodules. In all cases, the thyroid ultrasound and cytology
findings were reported based on ACR-TIRADS 2017 and TBSRTC 2017, respectively.
The level of agreement between ACR-TIRADS and TBSRTC systems was expressed as a
kappa value.
Results:
Study
subjects were mostly women (84%), with an average age of 47.60 years. The
highest frequency in the Bethesda system was seen in category II (54/92) and category V
(17/92). In contrast, the highest frequency in TIRADS was in category 4 (45/92)
and category 3 (21/92). Maximum concordance was found among the categories 2-II and 5-V of the
classification systems. The overall observed agreement was 65.2% with a linear
weighted kappa of 0.343 (95% CI: 0.213-0.472). A higher weighted kappa value
was seen in males, nodules ≥4 cm, individuals
aged <50 years and in those whose fine needle aspiration was done with
freehand.
Conclusion:
The
study revealed a fair concordance between cytologic diagnosis based on the
TBSRTC and ultrasound diagnosis based on the ACR-TIRADS, with the highest
concordance seen in the two ends of the classification categories (TIRADS
5-Bethesda V and TIRADS 2-Bethesda II). Careful interpretation of the ultrasound findings
and cytologic specimens allows the treating physicians to decide which nodules
need surgery and follow-up so that there will be no unnecessary surgical
procedures and complications. There should be an institutional monitoring
system for nodules with discordant Bethesda and TIRADS categories, especially
for those with extreme categories that are produced.
Keywords: Thyroid
nodule, Bethesda, Ultrasound, Concordance
Abbreviations: ACR:
American College of Radiology; FNAC: Fine Needle Aspiration Cytology; MRN:
Medical Record Number; NPV: Negative Predictive Value; PPV: Positive Predictive
Value; TASH: Tikur Anbessa Specialized Hospital; TBSRTC: The Bethesda System
for Reporting Thyroid Cytopathology; TIRADS: Thyroid Imaging, Reporting and
Data System; US: Ultrasound
1.
Introduction
In
recent decades, a steady increase in the incidence of thyroid cancer has been
observed worldwide and the reasons for this increase remain controversial. The
increase in thyroid cancer is almost exclusively due to the increase in
papillary cancers and there are no significant changes in other histological
subtypes1-3. The typical presentation
is small tumors although the incidence of large tumors is increasing; it has
been suggested that the increase in the incidence of thyroid cancer is largely
due to better detection rather than an actual increase in incidence3. Thyroid cancer is the most common endocrine
malignancy.
A
thyroid nodule can be defined as a discrete lesion within the thyroid gland
that is radiologically distinct from the surrounding thyroid parenchyma. It may
be solitary, multiple, solid or cystic and may or may not be functional.
Thyroid nodules are common in the general population and Ultrasonography (US)
has greatly increased the number of cases detected. About 4%-8% of the thyroid
nodules are detected by manual palpation. Ultrasound is an accurate method for
the detection of thyroid nodules, but its accuracy in differentiating between
benign and malignant thyroid nodules is low4,5.
Hypo echogenicity, increased intramodular vascularity, irregular margins,
microcalcifications, an absent halo and a taller-than-wide shape measured in
the transverse dimension are the commonest sonographic features associated with
a higher likelihood of malignancy. Thus, several US Thyroid Imaging and Data
Systems (TIRADS) have been proposed for risk stratification of thyroid nodules5. The nodules are usually divided into
different categories based on TIRADS and are then referred for Fine Needle
Aspiration Cytology (FNAC) or follow-up, according to the variable risk of
malignancy. ACR-TIRADS was originally designed to improve patient management
and cost-effectiveness by avoiding unnecessary FNAC in patients with thyroid
nodules (Table 1), with a sensitivity,
specificity, positive predictive value, negative predictive value and accuracy
of 88, 49, 49, 88 and 94%, respectively6.
In
addition, FNAC is the most accurate method for determining malignancies and is
an integral part of the current evaluation of thyroid nodules.
The
Bethesda System for Thyroid Cytopathology Reporting is a standardized reporting
system for classifying thyroid FNAC results and includes six diagnostic
categories with unique risk of malignancy and clinical treatment
recommendations. The Bethesda system has been widely adopted since its
commencement, each category with malignancy risk and recommended next steps (Table 2). A recent meta-analysis showed that the Bethesda
reporting system has a sensitivity of 97%, specificity of 50.7%, negative
predictive value of 96.3% and positive predictive values of 55.9%7,8.
Despite the fact that both US and FNAC are widely recommended procedures to study patients with thyroid nodules, the value of the existing concordance between the two methods has not been established in our setup. Consequently, the purpose of this study was to assess the existing level of concordance between the two diagnostic methods used in the initial evaluation of individuals with thyroid nodules (ACR-TIRADS 2017 and TBSRTC 2017).
Table 1: ACR-TIRADS 20176,9,10.
|
TIRADS Category |
Definition |
Subsequent Recommendation |
|
TIRADS 1 |
Benign |
No FNAC |
|
TIRADS 2 |
Not suspicious |
No FNAC |
|
TIRADS 3 |
Mildly suspicious |
FNAC if size ≥2.5 cm Follow-up if size ≥1.5 cm |
|
TIRADS 4 |
Moderately suspicious |
FNAC if size ≥1.5 cm Follow-up if size ≥1.0cm |
|
TIRADS 5 |
Highly suspicious |
FNAC if size ≥1.0 cm Follow-up if size ≥0.5 cm |
Table 2: The Bethesda system for reporting thyroid cytopathology 20177,8,11,12.
|
Bethesda Category |
ROM mean% (Range) |
Usual Management |
|
Bethesda I
(Nondiagnostic) |
13 (5-20) |
Repeat FNA with ultrasound guidance |
|
Bethesda II (Benign) |
4 (2-7) |
Clinical and ultrasound follow-up |
|
Bethesda III
(AUS) |
22 (13-30) |
Repeat FNA, molecular testing, diagnostic lobectomy or
surveillance |
|
Bethesda IV (Follicular
neoplasm) |
30 (23-34) |
Molecular testing, diagnostic lobectomy |
|
Bethesda V
(Suspicious for malignancy) |
74 (67-83) |
Molecular testing, lobectomy or near-total thyroidectomy |
|
Bethesda VI
(Malignant) |
97 (97-100) |
Lobectomy or near-total thyroidectomy |
2. Methods
2.1.
Objectives
The
main objective of the study was to determine the level of concordance between
the ultrasound category established under ACR-TIRADS and the cytology category
according to TBSRTC. Additionally, the study population and level of
concordance of the classification systems are characterized from the
socio-demographic point of view, the Bethesda categories are characterized in
terms of frequency and pathologic diagnosis and the prevalence of benign and
malignant lesions is assessed based on the cytologic diagnosis.
2.2.
Study setting, study design, study duration
2.2.1.
Study setting: The study was conducted at Tikur Anbessa Specialized
Hospital (TASH), Pathology Department, Addis Ababa, Ethiopia. TASH is under
College of Health Sciences of Addis Ababa University, which is one of the
pioneer universities in the country. The hospital is a tertiary-level referral
and teaching hospital providing service to people from all corners of the
country in its various departments. The study was conducted in the Pathology
department with collaboration from Radiology department. Both departments are
equipped with qualified human resources including consultant pathologists and
radiologists that are involved in conducting and guiding the research.
2.2.2.
Study design and duration: An institution based prospective,
cross-sectional study was conducted in patients referred for freehanded FNAC at
the Pathology department and ultrasound-guided FNAC at the Radiology department
of TASH during the time period of April 2023 to October 2023.
2.3.
Population
2.3.1.
Source population: All patients referred to Tikur Anbessa Specialized
Hospital Pathology Department for freehanded FNAC and Radiology Department for
ultrasound-guided FNAC from thyroid nodules during the study period of April
2023 to October 2023.
2.3.2.
Study population: All patients referred to the TASH
Pathology Department for freehanded FNAC with ultrasound report and Radiology
Department for ultrasound-guided FNAC from thyroid nodules during the study
period of April 2023 to October 2023.
2.4.
Sample size and sampling technique
Since the number of both freehanded and ultrasound-guided thyroid FNAC cases done at both departments of TASH was small, non-probabilistic sampling technique was used and all patients for whom ultrasound-guided or freehanded FNAC is done were included in our study. Upon consecutive non-probabilistic sampling, initially 115 patients were included; however, the final analysis was limited to 92 patients and 23 patients were excluded due to:
Bethesda category I cytology result in 13 cases.
Cytology report
not based on TBSRTC in 1 case.
TIRADS 1 in 1
case.
Ultrasound report
done outside of TASH in 1 case.
Post thyroidectomy in 7 cases.
2.5.
Data collection procedure
Data was collected by using structured questionnaire. The questionnaire included the medical registration number (MRN), demographic data (the age and sex) of the patient, duration of the nodule, size of the nodule from measurement of ultrasound, presence or absence of toxic symptoms, the TIRADS category, the Bethesda category and the specific pathologic diagnosis rendered.
2.6. Study variables
Dependent
variables: Bethesda (TBSRTC) category and ACR-TIRADS category.
Independent variables: Age, sex, duration of lesion, presence or absence of toxic symptoms, nodule size, mode of aspiration.
2.7. Eligibility criteria,
inclusion criteria, exclusion criteria
2.7.1.
Eligibility criteria: All thyroid nodules for which freehanded
and ultrasound-guided FNAC were done at Tikur Anbessa Specialized Hospital, Pathology
and Radiology department, were included in this study.
2.7.2. Inclusion criteria: All thyroid nodules for which freehanded or ultrasound-guided FNAC were done, provided that ultrasound report with ACR-TIRADS category and cytology results with TBSRTC category were obtained. For FNAC done in more than one thyroid nodules of the same patient; the nodules were recorded as separate data set; provided that the ultrasound report has separate ACR-TIRADS and TBSRTC.
2.7.3. Exclusion criteria
All thyroid
nodules for which the ultrasound and cytologic result could not be produced.
Those with repeat
aspiration within same study period.
Those with the
ultrasound examination done outside TASH.
TIRADS 1 and
Bethesda category I cases.
All nodules in a patient with known thyroid malignancy or previous thyroidectomy.
2.8.
Data processing and analysis
All
the nodules for which the ultrasound report consists of the ACR-TIRADS category
and cytology result reported by TBSRTC system were included in the study. The
weighted Kappa statistical method with a 95% confidence interval and the
statistical Z-test were used to estimate the level of concordance between the
two systems. A p-value of <0.05 was considered statistically significant.
In order to undergo the Kappa analysis, the number of diagnostic categories in the ACR-TIRADS system and TBSRTC should be equal. The first category of both systems is excluded because category 1 in TIRADS is benign for which FNAC is not ordered and, in TBSRTC, is non-diagnostic. And category V and VI of TBSRTC are combined into one because the highest risk of malignancy is described in those two categories. As a result, the analysis categories are:
Bethesda category
(II, III, IV and V)
TIRADS category
(2, 3, 4 and 5)
In this study we used cohen’s kappa with linear weight to determine the level of concordance. A further analysis was done to assess factors resulting in variation in weighted kappa for the variables of gender, age, nodule size, presence or absence of toxic symptoms and mode of aspiration. All the analyses were based on SPSS version 27.
3. Results
A
total of 92 patients were included in this study; in 45.65% (n = 42) of cases,
the FNAC was done under ultrasound guidance, whereas 54.35% (n=50) of cases
were aspirated freehanded. The majority of patients (84.8%, n=78) were female,
with female-to-male ratio of 5:1. Each Bethesda category shows exclusive female
predominance (>80% were female), except for category V, where male-to-female ratio is 1.4:1 (41.2% and 58.8%). The
average age was 47.60 years (SD = 14.63) with minimum and maximum of 14 and 90
years, respectively. Of the 92 patients, 43.5% were above the age of 50 year (Figure 1).
Figure 1: study subjects according to their age distribution.
Mean
size of nodules was 3.72 cm (SD = 1.26, minimum = 1.8 cm and maximum = 7.4 cm).
In 63.04% (n=58) of nodules, the size was below 4 cm. There was no
statistically significant size variation between Bethesda categories (p =
0.082) (Table 3).
The
majority of patients (77.2%, n = 71) were seen to have toxic symptoms. The
prevalence of toxic symptoms in cases categorized as Bethesda category (IV and V) was 3.125%.
Out of 32 cases reported as Bethesda category IV and
V, toxicity is seen in only 1 case.
Table 3: Age, sex, size nodule, presence or absence of toxic symptoms and duration of lesion in each Bethesda categories.
|
Age |
Sex |
Size of nodule in cm |
Toxicity prevalence |
Duration in year |
|
|
Bethesda II |
Min=14 |
Female=96.6% Male=7.4% |
Minimum=1.8 |
33.30% |
Min=1 |
|
Mean=48.04 |
Mean=3.57 |
Mean=6.28 |
|||
|
Maximum=90 |
Maximum=7 |
Max=30 |
|||
|
SD=15.7 |
SD=1.09 |
SD=6.43 |
|||
|
Bethesda III |
Min=29 |
Female=100% |
Minimum=2.20 |
33.30% |
Minimum=1 |
|
Mean=45 |
Mean=3.12 |
Mean=5.17 |
|||
|
Maximum=68 |
Maximum=4.1 |
Maximum=12 |
|||
|
SD=13.5 |
SD=0.82 |
SD=3.92 |
|||
|
Bethesda IV |
Minimum=20 |
Female=80% Male=20% |
Minimum=1.80 |
6.70% |
Minimum=1 |
|
Mean=47.47 |
Mean=3.88 |
Mean=4.33 |
|||
|
Maximum=70 |
Maximum=6.5 |
Maximum=20 |
|||
|
SD=14.67 |
SD=1.49 |
SD=5.06 |
|||
|
Bethesda V |
Minimum=25 |
Female=58.8% Male=41.2% |
Minimum=2.00 |
0% |
Minimum=1 |
|
Mean=47.24 |
Mean=4.25 |
Mean=3.06 |
|||
|
Maximum=69 |
Maximum=7.4 |
Maximum=10 |
|||
|
SD=12.31 |
SD=1.54 |
SD=2.95 |
The frequency of ultrasound results in TIRADS category, was TIRAD2 (20.7%, n=19), TIRAD3 (22.8%, n=21), TIRAD4 (38.0%, n=34) and TIRAD5 (18.5%, n=17) (Figure 2).
Figure 2: Frequency
distribution of study subjects based on TIRADS Category.
The frequency of Bethesda category II
(58.7%, n=54), III (6.5%, n=6), IV (16.3%, n=15) and V
(18.5%, n=17) (Figure 3) and (Table 4).
Figure 3: Frequency distribution of study subjects according to Bethesda category.
Table 4: Joint distribution of TIRADS and Bethesda categories.
|
Bethesda category |
Total |
|||||
|
II |
III |
IV |
V |
|||
|
TIRADs category |
TIRADS2 |
16 |
1 |
2 |
0 |
19 |
|
TIRADS3 |
14 |
3 |
3 |
1 |
21 |
|
|
TIRADS4 |
22 |
2 |
7 |
4 |
35 |
|
|
TIRADS5 |
2 |
0 |
3 |
12 |
17 |
|
|
Total |
54 |
6 |
15 |
17 |
92 |
|
The non-diagnostic rate (Bethesda category I) in our study was 11.3% (13/115) and the majority of thyroid nodules that turned out to be non-diagnostic were those aspirated under ultrasound guidance (84.6%) (Table 5).
Table 5:
Nondiagnostic rates based on mode of aspiration.
|
Mode of Aspiration |
Number of Nondiagnostic Cases (%) |
|
Ultrasound-guided |
11 (84.6%) |
|
Free handed |
2 (15.4%) |
Colloid goiter is the most prevalent cytologic diagnosis, accounting for 56.5% (n = 52) of total cases and 96.3% of cases reported as Bethesda category II. The majority of cases categorized as Bethesda Category VI turned out to be papillary thyroid carcinoma (67%, n = 8); the remaining cases in this category are anaplastic thyroid carcinoma (16.7%, n = 2), metastatic carcinoma suggestive of renal cell carcinoma (8.3%, n = 1) and squamous cell carcinoma (8.3%, n = 1). The prevalence of malignancy as per the cytologic diagnosis was 13% (Table 6).
Table 6: Bethesda categories with cytology diagnosis.
|
Bethesda category (Number of cases
and percentage out of total) |
Cytologic diagnosis, number of
cases with percentage within category |
|
Bethesda II, 54(58.7%) |
Colloid goiter, 52(96.3%) |
|
Adenomatoid goiter, 1(1.85%) |
|
|
Reidel’s thyroiditis, 1(1.85%) |
|
|
Bethesda III, 6(6.5%) |
AUS |
|
Bethesda IV, 15(16.3%) |
Follicular neoplasm, 10(66.7%) |
|
Suspicious for follicular neoplasm,
4(26.7%) |
|
|
Hurthle cell neoplasm, 1(6.6%) |
|
|
Bethesda V, 5(5.43%) |
Suspicious for papillary thyroid
carcinoma, 3(60%) |
|
Suspicious for malignancy, 2(40%) |
|
|
Bethesda VI, 12 (13.04%) |
Papillary thyroid carcinoma, 8(66.7%) |
|
Anaplastic thyroid carcinoma,
2(16.7% |
|
|
Squamous cell carcinoma, 1(8.3%) |
|
|
Suggestive of metastatic renal cell
carcinoma 1(8.3%) |
The
overall observed agreement between the TIRADS and Bethesda categories was
65.2%, with estimated agreement (agreement by chance) of 48%. The highest
concordance was found for categories TIRADS 5-Bethesda V
(70.6%). Out of 17 cases classified as TIRADS 5 category, 12 were rated as
Bethesda V, 3 as Bethesda IV and 2 as Bethesda II.
The frequency of Bethesda V was 18.5% (17/92);
12 of the patients were rated as TIRADS 5, 4 as TIRADS 4 and 1 rated as TIRADS
3.
The next highest agreement was between categories of Bethesda II-TIRADS 2. Out of 19 cases categorized under TIRADS 2, 16 turned out to be Bethesda II, 1 Bethesda III and 2 Bethesda V. The weighted kappa value calculated was 0.343 (95% CI, 0.213-0.472, P<0.01, Z=5.124). And a higher weighted kappa value was seen in male patients, nodules ≥ 4 cm, individuals < 50 years of age and patients whose FNAC was done freehanded. ACR-TIRADS categorization of thyroid nodules is found to have sensitivity (81.25%), specificity (56.67%), positive predictive value (50%) and negative predictive value (85%) (Table 7).
Table 7: The kappa value variation for age, sex, nodule size, toxicity and mode of aspiration.
|
Variable |
Kappa |
Standard Error |
IC 95% |
|
|
Overall Kapa |
0.343 |
0.066 |
0.213-0.472 |
|
|
Sex |
Male |
0.556 |
0.138 |
0.286-0.825 |
|
Female |
0.28 |
0.07 |
0.143-0.416 |
|
|
Age |
<50 |
0.456 |
0.094 |
0.272-0.641 |
|
≥50 |
0.218 |
0.074 |
0.072-0.364 |
|
|
Size |
<4cm |
0.284 |
0.087 |
0.113-0.455 |
|
≥4cm |
0.419 |
0.104 |
0.216-0.623 |
|
|
Toxicity |
Yes |
0.114 |
0.072 |
0.028-0.256 |
|
No |
0.38 |
0.073 |
0.237-0.524 |
|
|
Mode of Aspiration |
Ultrasound
guided |
0.196 |
0.068 |
0.063-0.329 |
|
Free
handed |
0.436 |
0.1 |
0.24-0.632 |
|
4.
Discussion
This
study evaluated the concordance between the ACR-TIRADS 2017 and TBSRTC 2017 on
the evaluation of thyroid nodules. The result showed a fair concordance and the
most frequent agreement was found for categories 5-V
and 2-II. The kappa index measures the level of
inter-observer agreement or, as in this study, the concordance between the
category produced by ultrasound TIRADS and the cytology result produced by TBSRTC.
Kappa is a measure of reliability, not a measure of validity.
The
majority of patients in our study were female (84.8%). Other similar studies
also reported a predominance of the female population presenting with thyroid
lesions11,13-15,16-18. Probably this
trend is due to the fact that autoimmune thyroid disease is significantly more
frequent in females than in males, so these patients with autoimmune thyroid
disease visit the physician more often, increasing the probability of detecting
the nodules either through palpation or ultrasound; clinically this situation
may be defined as a “medical surveillance bias”11.
Increased prevalence of thyroid lesions in females, according to studies, might
be related to hormonal influence of estrogen and progesterone14.
The
mean age of our patients was 47.60 (SD = 14.67); this finding is similar to
those reported previously by Pudasaini, S et al.18
(48.9, SD 14.2) and Redmi S et al.14
(50.74, SD = 17.8) and older and younger than those reported by Biswas A et al.13 (41.54, SD = 11.86) and Vargas H et al.11 (57, SD = 14),
respectively.
Bethesda
II was the most frequent category, 54/92 (58.7%)
and colloid goiter is the most prevalent cytologic diagnosis, accounting for
96.3% of Bethesda II cases and 56.5% of all
cytologic diagnoses in this study. Similar findings of the predominance of
Bethesda category II were seen in other studies
by Vergas H et al.11 (36.1%), Biswas A et al.13 (56.52%), Redmi S. et al.14 (68.5%) and Singapore W et al.19(74.65%).
The
overall agreement between TBSRTC and ACR-TIRADS found in our study was 65.2%
with expected agreement of 48%. Similar observed agreement is seen in a study
done by Chumber S. et al.15 (64%)
with lower expected agreement of 41.6%. A higher overall agreement is seen in
studies done by Redmi S. et al.14 (77.77%)
and Singapore W. et al. 19(83%).
The
highest level of agreement between Bethesda and TIRADS categories is seen
between categories TIRADS 5-Bethesda V and
TIRADS 2-Bethesda II. A study done in India by Chumber S. et al.15 has shown a similar
higher concordance rate between categories of TIRADS 2-Bethesda II and TIRADS 5-Bethesda V.
Other studies have also revealed a higher agreement level between categories of
TIRADS 2-Bethesda II11,13,20,21.
The
weighted kappa value generated in our study was 0.343, which implies the two
diagnostic systems have a fair concordance rate. A similar kappa level of
agreement is seen in a study done by Chumber S et al.15,
which is 0.38. A higher kappa value is revealed by other similar studies done
by Vergas H et al.11 (kappa = 0.69,
substantial or good agreement) and Redmi S et al.14
(kappa = 0.633, substantial or good agreement).
Our
study has found that higher weighted kappa values are in those with nodule
sizes greater than 4 cm, ages less than 50 years, male sex and those cases with
freehanded aspiration. A similar trend of higher kappa value for nodule size
greater than 4 cm is seen in a study done by Vergas H et
al.11.
In our study, ultrasound is found to have 81.25%
sensitivity, 56.67% specificity, 50% positive predictive value and 85% negative
predictive value. These findings are lower compared to studies done by Periakaruppan et al.16, where the
sensitivity, specificity, NPV and PPV were 92.3%, 94.15%, 99.38% and 54.54%,
respectively. A study done by Singapore W, et al.19
showed lower sensitivity (70.6%) and higher specificity (90.4%) and NPV
(93.8%). Another study by Thattarakkal et al.17
also showed higher specificity (89.6%), NPV (93.8%) and PPV (66.6%), but lower
sensitivity (77.8%) (Table 8).
Table 8: A comparation of previously published studies to the current study.
|
Study and year |
Country |
Study Design |
Sample Size |
M:F |
Mean Age |
Concordance |
Conclusion |
|
Peri Karuppan et al.16 |
India |
Prospective |
184 over 2 years |
28: 156 |
3rd -6th Decade |
Not mentioned |
TIRADS and Bethesda systems showed remarkable agreement,
especially for the category II cases. |
|
Vargas, et al.11 |
Columbia |
Prospective |
180 |
1:02 |
57 |
TIRADS2 and Bethesda II Kappa =0.690 |
TIRADS criteria have substantial agreement with the Bethesda
system |
|
Biswas et al.13 |
India |
Prospective |
69 over 1 year |
01:05.3 |
41.54 |
TIRADS 2 and Bethesda II |
Careful interpretation of both systems is essential in
classifying thyroid nodules to ensure appropriate management. |
|
Chumber, et al.15 |
India |
Prospective |
80 |
0.545833 |
65% (20-40 years) |
Categories 2-II and 5-V Kappa=0.380 |
The study shows a fair concordance between the TIRADS and
TBSRTC. With higher agreement in categories 2/II and 5/V of both
classification systems. |
|
Regmi, et al.14 |
Nepal |
Prospective |
54 over 9 months |
4:50 |
50.74 |
Kappa=0.633 |
The study showed good concordance between ultrasound TIRADS
categories and cytology TBSRTC categories. FNAC should only be recommended
for suspicious nodules. |
|
Present study |
Ethiopia |
prospective |
92 over 6 months |
1:05 |
47.6 |
Categories TIRADS 5 -Bethesda V and TIRADS 2-Bethesda II |
The TIRADS and Bethesda systems have a fair concordance rate,
with maximum agreement seen between the two ends of the classification
systems (TIRADS5-Bethesda V and TIRADS2-Bethesda II). |
5. Conclusion
Our
study revealed a fair concordance between cytologic diagnosis based on the 2017
TBSRTC and ultrasound diagnosis based on the 2017 ACR-TIRADS, with the highest
concordance seen in the two ends of the classification systems (TIRADS
5-Bethesda V and TIRADS 2-Bethesda II)21.
Careful interpretation of the ultrasound and cytology findings allows the
treating physicians to decide which nodules need surgery and follow-up so that
there will be no unnecessary surgical procedures and complications. There
should be an institutional monitoring system for nodules with discordant
ACR-TIRADS and TBSRTC categories, especially for those with extreme categories
that are produced.
6. Recommendations
We
recommend consistent use of the TBSRTC for reporting thyroid FNAC results in
our institution and maximum attention should be paid in signing thyroid FNAC
cases with discordant TIRADS categories. Our study showed a higher non-diagnostic
rate and a relatively lower level of agreement between the two systems in the
thyroid nodules aspirated with ultrasound guidance. So, ultrasound-guided FNAC
should be done with experienced hands and it would be beneficial to develop
interdepartmental interactions between pathology and radiology teams to
optimize patient management. We recommend doing further studies with a larger
sample size over multiple institutions so as to substantiate the results of our
study.
7. Ethical Approval
All
the procedures performed in this study were in accordance with the ethical
standards of the university and department’s research committee. Ethical
clearance was obtained and informed consent was taken from participants.
8. Acknowledgments
We would like to thank Addis Ababa University College of Health Science Tikur Anbessa Specialised Hospital Pathology and Radiology department staff members and residents for their valuable support in the data collection process.
9. References