CytoNet, a Versatile Web-Based System for Accessing Advisory Cytology Services

Biotechnology ◽  
2019 ◽  
pp. 1109-1125
Author(s):  
Rallou Perroti ◽  
Abraham Pouliakis ◽  
Niki Margari ◽  
Eleni Panopoulou ◽  
Efrossyni Karakitsou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Needle Aspiration ◽  
Daily Routine ◽  
Specialized Knowledge ◽  
Web Based ◽  
Fine Needle ◽  
Vector Quantizer ◽  
Needle Aspiration Cytology ◽  
Web Based System ◽  
Thyroid Lesions

This article describes how the use of artificial intelligence applications as a consultation tool on a cytological laboratory's daily routine has been suggested for several decades. In addition to the use of high-resolution thyroid ultrasonography and fine-needle aspiration cytology, a further reduction of the number of unnecessary thyroidectomies can be achieved through the access to such techniques. Despite the evident advantages, artificial intelligence applications hardly ever find their way to end-users due to the specialized knowledge necessary for designing and using them, as well as the users' unfamiliarity with the required technology. The authors aimed to design an easy-to-use online platform (CytoNet) that gives access to a learning vector quantizer neural network (LVQ NN) that discriminates benign from malignant thyroid lesions to users (medical doctors) with no specialized technical background on artificial intelligence.

CytoNet, A Versatile Web-Based System for Accessing Advisory Cytology Services

2018 ◽  
Vol 7 (3) ◽  
pp. 37-56 ◽  
Author(s):  
Rallou Perroti ◽  
Abraham Pouliakis ◽  
Niki Margari ◽  
Eleni Panopoulou ◽  
Efrossyni Karakitsou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Needle Aspiration ◽  
Daily Routine ◽  
Thyroid Ultrasonography ◽  
Specialized Knowledge ◽  
Aspiration Cytology ◽  
Web Based ◽  
Vector Quantizer ◽  
Needle Aspiration Cytology ◽  
Web Based System

This article describes how the use of artificial intelligence applications as a consultation tool on a cytological laboratory's daily routine has been suggested for several decades. In addition to the use of high-resolution thyroid ultrasonography and fine-needle aspiration cytology, a further reduction of the number of unnecessary thyroidectomies can be achieved through the access to such techniques. Despite the evident advantages, artificial intelligence applications hardly ever find their way to end-users due to the specialized knowledge necessary for designing and using them, as well as the users' unfamiliarity with the required technology. The authors aimed to design an easy-to-use online platform (CytoNet) that gives access to a learning vector quantizer neural network (LVQ NN) that discriminates benign from malignant thyroid lesions to users (medical doctors) with no specialized technical background on artificial intelligence.

Cytopathological Evaluation of Thyroid Lesions Based on Bethesda System in Patients Attending Birat Medical College and Teaching Hospital

2020 ◽  
Vol 22 (4) ◽  
pp. 260-265
Author(s):  
Neeta Kafle ◽  
B Koirala ◽  
SU Kafle ◽  
M Singh ◽  
A Sinha
Keyword(s):  
Teaching Hospital ◽  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Cytology ◽  
Needle Aspiration ◽  
Aspiration Cytology ◽  
Fine Needle ◽  
Medical College ◽  
Bethesda System ◽  
Needle Aspiration Cytology ◽  
Thyroid Lesions

More than 50% of the world’s population has at least a thyroid nodule. Detail clinical examination and radiology may help in diagnosing thyroid lesions but the management depends upon the cytopathological diagnosis. Optimum use of fine needle aspiration cytology (FNAC) and better understanding of cytomorphological characteristic of thyroid lesions by using Bethesda system, triaging of patients who are to be treated medically or surgically is more accurate. The objective of this present study is cytopathological evaluation of thyroid lesions based on Bethesda System in patients attending Birat Medical College and Teaching Hospital. The objective was also to correlate the cytological findings with histopathological findings where ever possible. A total of 104 patients with thyroid lesions underwent fine needle aspiration cytology in a period of a year (September 1, 2019 to August 31, 2020). Cytological features were evaluated and classified according to the Bethesda system. Histopathological features were evaluated and correlated wherever available. Among 104 patients with thyroid lesions 93 were female and 11 were male. Four cases turned out to be non diagnostic, 85 benign, three Atypia of undetermined significance, three Suspicious for follicular neoplasm and eight Suspicious of malignancy and one Malignant according to Bethesda system. Histopathology specimen was received in 31 patients out of whom 20 (64.5%) patients were reported as colloid nodule, two follicular adenoma, one Hurthle cell adenoma, six papillary carcinoma and two follicular carcinoma. Medullary carcinoma and anaplastic carcinoma were not seen in the patients evaluated. Specificity and sensitivity of fine needle aspiration cytology was 94.7% and 88.9% respectively. Thus reporting thyroid lesions FNAC with Bethesda system allow a more specific cytological diagnosis.

Concordance Between the TIRADS Ultrasound Scoring Criteria, Fine-Needle Aspiration Cytology, and Thyroid Final Resection Diagnosis

2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S92-S92
Author(s):  
Hatem Kaseb ◽  
Ahmad Charifa ◽  
Rita Abi-Raad ◽  
Guoping Cai ◽  
Lynwood Hammers ◽  
...  
Keyword(s):  
Surgical Resection ◽  
Sensitivity And Specificity ◽  
Fine Needle Aspiration ◽  
Needle Aspiration ◽  
Predictive Values ◽  
Fine Needle ◽  
Malignant Lesions ◽  
Needle Aspiration Cytology ◽  
Age Range ◽  
Thyroid Lesions

Abstract Objectives Thyroid imaging reporting and data system (TIRADS) criteria were recently introduced in our institution to aid in predicting diagnosis for various thyroid lesions. We evaluated the association of TIRADS imaging score and fine-needle aspiration (FNA) cytology with thyroid lesions that had a confirmed diagnosis at resection, with a focus on understanding the predictability of this diagnostic tool in malignancy prediction. Methods We assessed the concordance of TIRADS criteria and FNA diagnosis to the final anatomical diagnosis in the assessment of thyroid lesions. We retrieved the cases from the archives of the Yale pathology department between June 2017 and January 2018. Our inclusion criteria included patients who had a TIRADS score, cytology diagnosis, and final surgical resection diagnosis. A total of 65 subjects with an age range of 11 to 88 years were identified. Results The majority of the patients were females, 65% (42/65). Cases with TIRADS score 1-2 (likely benign) and Bethesda I/II nondiagnostic/benign were few since most of these cases did not go for surgical resection. The mildly suspicious TIRAD score 3 and FLUS category showed similar trends, 68% and 67%, respectively, in predicting malignant lesions. The TIRADS score 4 when compared to cytology (IV)/(V) demonstrated similar consistent results in malignancy prediction, both being high at 89% and 87%, respectively. The TIRADS score 5 demonstrated a 95% malignancy prediction. The overall sensitivity and specificity of TIRADS score in our cohort were 66% and 77%, respectively. The positive and negative predictive values of TIRADS score in our cohort were 89% and 39%, respectively. In comparison, the overall sensitivity and specificity of cytology assessment in our cohort were 91% and 44%, respectively. The positive and negative predictive values of cytology assessment in our cohort were 85% and 57%, respectively. Conclusion Our results demonstrated that both cytology and TIRAD score had similar trends in malignancy prediction. Cytological assessment had higher sensitivity but lower specificity compared to TIRADS score. While both techniques showed concordant high predictability of malignant lesions (approximately 91%), the use of both modalities adjunctively will be very useful in triaging cases for surgery. Overall, utilizing TIRADS score with cytology will help reduce the risk of unnecessary invasive procedures in patients with a low probability of malignant thyroid disease.

scholarly journals Cytopathological Evaluation of Thyroid by Fine Needle Aspiration Cytology and Correlation with T3 T4 and TSH Levels

2015 ◽  
Vol 3 (4) ◽  
pp. 37-41
Author(s):  
Suman Poudel ◽  
Sudeep Regmi ◽  
Anita Shahi ◽  
Ashok Samdurkar
Keyword(s):  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Cytology ◽  
Thyroid Function Test ◽  
Needle Aspiration ◽  
Aspiration Cytology ◽  
Fine Needle ◽  
Asymptomatic Patients ◽  
Significant Difference ◽  
Needle Aspiration Cytology ◽  
Thyroid Lesions

INTRODUCTION: Fine Needle Aspiration Cytology (FNAC) of the thyroid gland is now a well-established, first line diagnostic test for the evaluation of thyroid lesions. An FNA is performed along with Thyroid Function Test (TFT) profile to correlate cytology with hormonal function in symptomatic or asymptomatic patients. MATERIALAND METHODS: Total of 117 cases of FNAC of thyroid lesions were selected who had undergone TFT profile. The lesions were evaluated cytologically and categorized according to Bethesda System of classification and correlated with TFT profile. RESULTS: Out of 117 cases studied, the middle aged (20-49 years) females were most commonly affected by thyroid diseases. The predominant lesions cytologically were Benign Follicular Nodule (BFN) with frequency of 51.3%.With respect to hormonal status most of the lesions were Euthyroid (53.8%). The study showed no significant difference in mean of TFT profile with regard to various FNAC diagnoses. CONCLUSION: The study showed that FNAC and TFT profile both are essential for the proper management of thyroid lesions and, there is no significant difference between FNAC diagnosis and mean TFT profile.

Correlation of Fine Needle Aspiration Cytology of Thyroid Gland with Histopathological Results

2018 ◽  
Vol 90 (5) ◽  
pp. 1-5 ◽  
Author(s):  
Ewa Machała ◽  
Jan Sopiński ◽  
Iulia Iavorska ◽  
Krzysztof Kołomecki
Keyword(s):  
Fine Needle Aspiration ◽  
Predictive Value ◽  
Fine Needle Aspiration Cytology ◽  
Cost Effective ◽  
Needle Aspiration ◽  
The Other ◽  
Aspiration Cytology ◽  
Fine Needle ◽  
Needle Aspiration Cytology ◽  
Thyroid Lesions

ABSTRACT Fine needle aspiration cytology (FNAC) is considered as the gold standard diagnostic test for the diagnosis of thyroid nodules. It is a cost-effective procedure that provides specific diagnosis rapidly with minimal complications. It plays an important role in the determination of treatment- patients with suspected malignancy diagnosis can be subjected to surgery. On the other hand it can decrease the rate of unnecessary surgeries. Aims: The aim of this study was to evaluate and compare the correlation, accuracy of fine needle aspirational cytology (FNAC) in the diagnosis of thyroid lesions with the final histopathologic diagnosis in the surgical specimens. Materials and Methods: In our study we have performed a retrospective analysis of a case series of patients who were admitted to the Department of Endocrine, General and Oncological Surgery of Hospital of M. Kopernik in Łodź (Poland) between May 2016 and December 2017 and underwent FNAC with subsequent surgery. Cytological diagnosis was classified into six Bethesda categories. Results: On cytological examination 1070/1262 were reported as benign, 49 malignant and 143 suspicious. On histopathological examination, 956/1070 cases were confirmed as benign but there were 114 discordant cases. Among the other cases histopathology diagnosis of malignancy matched in 45/49 and 128/143 cases.The sensitivity and specificity were 60,28% and 98,05% respectively. False positive rate was 1.95% and false negative rate was 39.72%. The positive predictive value was 90.1% and negative predictive value was 89.35%. Accuracy of FNA in differentiating benign from malignant thyroid lesions was 89,46%. Conclusions: Fine needle aspiration cytology is a simple, cost-effective and popular procedure for the diagnosis of thyroid cancer. It is recommended as the first line investigation for the diagnosis of thyroid lessions.

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