Feasibility of Thyroid Imaging Reporting and Data System Classification in Predicting Thyroid Malignancy

2019 ◽  
Vol 85 (12) ◽  
pp. 1345-1349
Author(s):  
Ahmet Cem Dural ◽  
Nuri Alper Sahbaz ◽  
Cevher Akarsu ◽  
Sezer Akbulut ◽  
Rustu Turkay ◽  
...  
Keyword(s):  
Predictive Value ◽  
Daily Practice ◽  
Diagnostic Value ◽  
Data System ◽  
Thyroid Malignancy ◽  
Predictive Values ◽  
Thyroid Imaging ◽  
Ultrasound Findings ◽  
Risk Of Malignancy ◽  
Sensitivity Specificity

In this study, we aimed to evaluate the diagnostic value of thyroid imaging reporting and data system (TIRADS) in the estimation of malignancy and assess the concordance between TIRADS and the histopathology results of the postoperative specimens. Consecutive ultrasound imaging records of patients with multinodular goiter from January 2010 to December 2017 who underwent surgery were retrospectively reviewed. The risk of malignancy of each TIRADS category was determined, and correlation with pathology was assessed. The patients with malignant cytology findings (Bethesda 6) who were categorized TIRADS 6 were excluded from the study. The positive and negative predictive values, sensitivity, specificity, and accuracy of the TIRADS classification were calculated on a 2 x 2 table with their own formulas. A total of 1457 patients were evaluated, and 1122 of these were included in the study. The risk of malignancy for nodules evaluated as TIRADS 2 was 0.6 per cent, TIRADS 3 was 13.1 per cent, TIRADS 4a was 20 per cent, TIRADS 4b was 61.1 per cent, TIRADS 4c was 85.7 per cent, and TIRADS 5 was 93.3 per cent. The positive predictive value of TIRADS classification was found to be 43.4 per cent, negative predictive value was found to be 90.7 per cent, sensitivity was found to be 78 per cent, specificity was found to be 68.4 per cent, and accuracy was found to be 70.7 per cent for our institution. The TIRADS classification based on suspicious ultrasound findings is reliable in predicting thyroid malignancy and can be routinely used in daily practice.

scholarly journals Diagnostic value of thyroid imaging reporting and data system in thyroid nodules

2021 ◽  
Vol 8 (8) ◽  
pp. 2286
Author(s):  
Elsayed Ahmed Mostafa ◽  
Radwa Mohamed Atia ◽  
Muhammad Salah Ragab Abdel-Aal
Keyword(s):  
Fine Needle Aspiration ◽  
Predictive Value ◽  
Diagnostic Value ◽  
Needle Aspiration ◽  
Data System ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Thyroid Fine Needle Aspiration ◽  
Risk Of Malignancy ◽  
Sensitivity Specificity

Background: The improved detection of TNs (TNs) with US has resulted in an increase in the number of thyroid fine needle aspiration biopsy (FNAB). Appropriate criteria are necessary to avoid an increase of rather unnecessary benign cytologic results in TNs. Thyroid imaging reporting and data system (TIRADS) was first used by Horvath et al in 2009. This was to standardize the reporting of results of thyroid (ultrasonography) US that can be understood by clinicians and also stratify the risk of malignancy of a lesion based on the US features of the lesion.Methods: Cases with uninodular or multinodular goiter had been included. Evaluation of cases had been done using ultrasound of the neck. TNs were classified into categories according to thyroid imaging reporting and data system of the American colleague of radiologists (ACR-TIRADS).Cases were ordered for fine needle aspiration cytology (FNAC). Operable cases were only included in the study and postoperative histopathology was revised.Results: The study included 46 patients. The different TIRADS categories were confronted with the results of cytology and histopathology. Combining TIRADS 2 and 3 as probably benign categories and TIRADS 4 and 5 as probably malignant categories, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were respectively 100%, 84.38%, 73.68% and 100%. The accuracy of ACR-TIRADS was 89.13%.Conclusions: ACR-TIRADS helps in stratifying nodular thyroid disease based on the risk of malignancy. It could lead to a significant decrease of the number of unnecessary FNABs.

Diagnostic value of 2017 ACR Thyroid Imaging Reporting and Data System (TI-RADS) combined with fine needle aspiration biopsy in thyroid nodules

2021 ◽  
pp. 1-10
Author(s):  
Chao Zhang ◽  
Yu-Qin Huang ◽  
Zhi-Long Liu
Keyword(s):  
Fine Needle Aspiration ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Diagnostic Value ◽  
Needle Aspiration ◽  
Data System ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Accuracy Increase ◽  
Sensitivity Specificity

OBJECTIVE: To evaluate diagnostic value of Thyroid Imaging Reporting and Data System published by American College of Radiology (ACR TI-RADS) in 2017, ultrasound-guided fine-needle aspiration (US-FNA), and the combination of both methods in differentiation between benign and malignant thyroid nodules. METHODS: The data of US-FNA and ACR TI-RADS are collected from 159 patients underwent thyroid surgery in our hospital, which include a total of 178 thyroid nodules. A Bethesda System for Reporting Thyroid Cytopathology category of ≥IV and an ACR TI-RADS category ≥4 are regarded as diagnosis standards for malignancy in US-FNA and ACR TI-RADS, respectively. The pathological results after surgery are considered as the gold standard. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of the ACR TI-RADS, US-FNA and the combination of both methods for the differential diagnosis of thyroid nodules are calculated, respectively. RESULTS: The sensitivity, specificity and accuracy of ACR TI-RADS are 85.4%, 37.5%and 72.5%, respectively. The sensitivity, specificity and accuracy of US-FNA are 70.0%, 100%and 78.1%, respectively. After combining these two methods, the sensitivity, specificity and accuracy increase to 99.23%, 37.50%and 82.58%, respectively. The sensitivity of ACR TI-RADS is higher than that of US-FAN, and the sensitivity of combining these two methods is also higher than that of using ACR TI-RADS and US-FNA alone. CONCLUSION: The established ACR TI-RADS can help in selecting the target during nodule puncture, while the combination of ACR TI-RADS and US-FAN can further improve diagnostic ability for detecting malignant thyroid nodules.

Ultrasound for the diagnosis of gout—the value of gout lesions as defined by the Outcome Measures in Rheumatology ultrasound group

Rheumatology ◽  
2020 ◽  
Vol 60 (1) ◽  
pp. 239-249
Author(s):  
Sara Nysom Christiansen ◽  
Mikkel Østergaard ◽  
Ole Slot ◽  
Viktoria Fana ◽  
Lene Terslev
Keyword(s):  
Outcome Measures ◽  
Predictive Value ◽  
Reference Standards ◽  
Secondary Outcome ◽  
Predictive Values ◽  
Ultrasound Findings ◽  
Ultrasound Assessment ◽  
Sensitivity Specificity ◽  
Ultrasound Group ◽  
Msu Crystals

Abstract Objective To evaluate ultrasound for diagnosing gout using consensus-based Outcome Measures in Rheumatology ultrasound definitions of gout lesions. Methods Ultrasound was performed in patients with clinically suspected gout. Joints (28) and tendons (26) were binarily evaluated for the Outcome Measures in Rheumatology gout lesions—double contour (DC), tophus, aggregates and erosions. Ultrasound assessment was compared with two reference standards: (i) presence of MSU crystals in joint/tophus aspirate (primary outcome) and (ii) ACR/EULAR 2015 gout classification criteria (secondary outcome). Both reference standards were evaluated by rheumatologists blinded to ultrasound findings. Sensitivity, specificity, accuracy, positive predictive value and negative predictive value of each ultrasound lesion against both reference standards were determined. Results Eighty-two patients (70 men), mean age 62.4 (range 19–88) years, were included. Fifty-seven patients were MSU-positive whereas 25 patients were MSU-negative (no MSU crystals: 23; aspiration unsuccessful: 2). Of these 25 patients, three patients were classified as ACR/EULAR-positive (i.e. totally 60 ACR/EULAR-positive patients). All ultrasound lesions had high sensitivities for gout (0.77–0.95). DC and tophus showed high specificities (0.88–0.95), positive predictive values (0.94–0.98) and accuracies (0.82–0.84) when both reference standards were used. In contrast, low specificities were found for aggregates and erosions (0.32–0.59). Ultrasound of MTP joints for DC or tophus, knee joint for DC and peroneus tendons for tophus was sufficient to identify all MSU-positive patients with ultrasound signs of gout at any location. Conclusion Ultrasound-visualized DC and tophus, as defined by the Outcome Measures in Rheumatology ultrasound group, show high specificities, positive predictive values and accuracies for diagnosing gout and are therefore valid tools in clinical practice.

scholarly journals Factors Impacting the Performance Characteristics of Bile Duct Brushings: A Clinico-Cytopathologic Analysis of 253 Patients

2018 ◽  
Vol 142 (7) ◽  
pp. 863-870 ◽  
Author(s):  
Ezgi Hacihasanoglu ◽  
Bahar Memis ◽  
Burcin Pehlivanoglu ◽  
Vaidehi Avadhani ◽  
Alexa A. Freedman, ◽  
...  
Keyword(s):  
Bile Duct ◽  
Predictive Value ◽  
High Specificity ◽  
Daily Practice ◽  
Performance Characteristics ◽  
Lower Sensitivity ◽  
Current State ◽  
Risk Of Malignancy ◽  
Low Sensitivity ◽  
Sensitivity Specificity

Context.— Literature on factors impacting bile duct brushings (BDBs) performance characteristics remain limited. Objective.— To capture the current state of daily practice with BDB sign-out. Design.— Two hundred fifty-three of 444 BDBs signed out by more than 7 cytopathologists, with histopathologic and/or clinical follow-up of at least 18 months, were examined. Results.— One hundred thirty-five of 253 BDBs (53%) had histologically confirmed malignancies, 22 (9%) had cancer-related deaths, and 96 (38%) were benign. Cytologic diagnoses in the 444 BDBs were nondiagnostic (11 [2.5%]), negative (284 [64%]), atypical (62 [13.9%]), suspicious (34 [7.7%]), and malignant (53 [11.9%]). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of malignancy detection were 35%, 100%, 100%, 58%, and 66%, respectively. When atypical, suspicious, and malignant (ASM) categories were combined, sensitivity increased (58%), specificity and PPV dropped (97%), and accuracy increased (73%). Carcinoma type (bile-duct versus pancreatic-ductal) had no effect on accuracy (P = .60) or diagnostic class (P = .84), nor did time of performance (first 7.5 versus latter 7.5 years, P = .13). Interestingly, ThinPrep + cell block (n = 41) had higher sensitivity (61%) and lower specificity (80%) than ThinPrep only (versus 51% and 100%, respectively). Sensitivity and specificity were higher (47% and 100%) in nonstented than stented specimens (59% and 97%). Relative risk of malignancy for “suspicious” (2.30) and “atypical” (2.28) categories was lower but not very different from that of “malignant” category (2.41). Conclusions.— Bile duct brushings had fairly low sensitivity but high specificity and PPV with no false positives. Sensitivity almost doubled and specificity dipped minimally when ASM categories were combined, highlighting the need for better classification criteria for atypical/suspicious cases. Higher specificity, PPV, NPV, and accuracy but lower sensitivity in stented BDBs suggest that they be called malignant only when evidence is overwhelmingly convincing.

scholarly journals TP8.1.12 Diagnostic Utility of MRI in the Evaluation of Potential Malignancy in Patients Presented with Nipple Discharge

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Nixon Phua Cher Yang ◽  
Muhammad Adeel Javed Butt ◽  
Parmvir Singh Nijjar ◽  
Saung Phyu ◽  
Musa Barkeji
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Ductal Carcinoma ◽  
Nipple Discharge ◽  
Diagnostic Value ◽  
Predictive Values ◽  
Imaging Tool ◽  
Additional Imaging ◽  
Magnetic Resonance Imaging Mri ◽  
Sensitivity Specificity

Abstract Aims Nipple discharge is a presentation commonly seen at breast clinics. It is conventionally evaluated with physical examination and sonography( or mammography). The aim of this study is to investigate the diagnostic value of magnetic resonance imaging (MRI) as an additional imaging tool in the evaluation of potential malignancy in patients presented with nipple discharge. Methods A retrospective evaluation of 85 patients with nipple discharge who underwent breast ultrasound (USS) and MRI between 04/06/2008 and 25/10/2019 was conducted. Clinical notes, radiographic reports and biopsy results were reviewed. Sensitivity, specificity, positive predictive value and negative predictive value of USS and MRI were calculated. Results Out of the 85 patients (all female; mean age 45.33 +/- 12.93 years old) with nipple discharge, 11 were found to have biopsy-proven malignancy (invasive ductal carcinoma/ ductal carcinoma in situ; 12.94% risk). USS failed to identify seven malignancies (27.27% sensitivity) while MRI missed three malignancies (72.72% sensitivity). USS falsely identified four malignancies from 74 patients with no malignancy (94.59% specificity) while MRI only falsely identified one case (98.65% specificity). For patients with negative USS results (U1/U2/U3) or negative MRI results (BI-RADS category 1,2 or 3), the negative predictive values of USS is 89.74% while that of MRI is 96.05%. The positive predictive values of USS and MRI are 42.86% and 88.88% respectively. Conclusion Compared to USS, MRI has a higher sensitivity, specificity, positive predictive value and predictive value. It will be a valuable addition to the standard nipple discharge evaluation workup to help rule out malignancy.

scholarly journals Diagnostic Accuracy of Magnetic Resonance Images and Weight-Bearing Radiographs in Patients With Arthroscopic-Proven Medial Osteoarthritis of the Knee

2020 ◽  
Vol 13 ◽  
pp. 117954412093836
Author(s):  
Nuria Muñoz-García ◽  
José Cordero-Ampuero ◽  
Rosario Madero-Jarabo
Keyword(s):  
Magnetic Resonance ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Weight Bearing ◽  
Diagnostic Value ◽  
Magnetic Resonance Images ◽  
Osteoarthritis Of The Knee ◽  
Predictive Values ◽  
Arthroscopic Findings ◽  
Sensitivity Specificity

Aims: The aim of this study is to analyze the diagnostic value of weight-bearing radiographs, magnetic resonance images (MRI), and the combination of both in osteoarthritic knees when using arthroscopic findings as the “gold standard” to compare with. Methods: A total of 59 patients were studied because of chronic pain in 1 of their knees. Radiographs were classified according to Kellgren-Lawrence scale. Magnetic resonance images were classified according to Vallotton, and arthroscopic findings according to Outerbridge criteria. Results: Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were, respectively, 75.0%, 60.0%, 56.2%, 77.8%, and 66.1% for weight-bearing radiographs, and 70.8%, 88.6%, 81.0%, 81.6%, and 81.4% for MRI. Logistic regression analysis showed that a weight-bearing radiograph added to MRI offered no additional diagnostic value compared with MRI alone ( P < .001). Conclusions: Magnetic resonance images presented higher specificity, positive and negative predictive values, and accuracy than weight-bearing radiographs for knee osteoarthritis. The combination of radiographs and MRI did not improve the diagnostic accuracy, compared with MRI alone.

scholarly journals An Evaluation of the Arcus Corneae For Age Estimation

2019 ◽  
Vol 9 (3-4) ◽  
pp. 155-162
Author(s):  
Boonsak Hanterdsith
Keyword(s):  
Predictive Value ◽  
Interobserver Reliability ◽  
High Sensitivity ◽  
Diagnostic Value ◽  
Cross Sectional Study ◽  
Likelihood Ratios ◽  
Chi Square ◽  
Cross Sectional ◽  
Predictive Values ◽  
Sensitivity Specificity

Although the arcus corneae (AC) has long been used as an age indicator for forensic purposes, its diagnostic value has not been evaluated. To evaluate the AC as a predictor of chronological age, the author has studied the correlation of AC with respect to age of the deceased. A cross-sectional study was conducted of 342 Thai corpses at the Maharat Nakhon Ratchasima Hospital, Thailand. AC was graded into three levels: no AC, incomplete ring, and complete ring. One-way analysis of variance, chi-square test, binomial logistic regression, sensitivity, specificity, predictive values, and likelihood ratios were used for analysis. The Cohen’s kappa was used to determine the intraobserver and interobserver reliability. The prevalence of AC and the probability of complete AC were significant higher in corpses aged 60 years and above than in those under 60 years. Consequently, this study confirmed that the prevalence of AC was significantly correlated with the age of Thai individuals. If the complete AC is used as an indicator of age of 60 years and above, complete AC has high sensitivity (92.56%) but low specificity (72.85%), low positive predictive value (65.12%), but high negative predictive value (94.71%). For diagnostic value, the presence of AC can be used for age screening but not for absolute confirmation. The absence of AC indicates young age, incomplete AC indicates middle age, and complete AC indicates old age. The high intraobserver and interobserver reliability provides assurance of the value of AC as a means to estimate personal age.

scholarly journals Evaluation of the risk malignancy index diagnostic value in patients with adnexal masses

2011 ◽  
Vol 68 (7) ◽  
pp. 589-593 ◽  
Author(s):  
Milan Terzic ◽  
Jelena Dotlic ◽  
Ivana Likic-Ladjevic ◽  
Jasmina Atanackovic ◽  
Nebojsa Ladjevic
Keyword(s):  
Predictive Value ◽  
Menopausal Status ◽  
Diagnostic Value ◽  
Gynecologic Malignancies ◽  
Adnexal Masses ◽  
Average Value ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Practice Methods ◽  
Sensitivity Specificity

Background/Aim. Ovarian cancer is the leading cause of death from gynecologic malignancies. Risk of malignancy index (RMI) is recommended in assessment of patients with adnexal masses. The aim of this study was to verify the effectiveness of the RMI in the discrimination between benign lesions and malignant adnexal masses in clinical practice. Methods. Ultrasounds were performed for all the patients and menopausal status, CA125 level and calculated RMI were defined. All the patients were divided into 3 groups depending on RMI (< 25, 25-200, > 200). After operations all adnexal masses were analyzed histopathologically (HP) and then sensitivity, specificity and predictive value of RMI were calculated. Results. Out of a total of 81 patients involved benign tumor had 51 (62.96%) and malignant 30 (37.04%) of the patients. The average value of CA125 in the group of patients with benign adnexal masses was 68.3 U/mL and in the group of patients with malignant adnexal masses it was 581.95 U/mL. In the group of patients with benign adnexal masses the average RMI was 284.9 and in the group of patients with malignant adnexal masses RMI was 469.2. All the results showed a positive correlation between both HP categories and RMI categories. The more malignant HP result produced higher RMI and the cut off value was RMI = 200. Sensitivity of RMI was 83.33%, specificity was 94.12%, positive predictive value was 89.29% and negative predictive value was 90.57%. Conclusion. Our study showed that RMI is very reliable in differentiation benign from malignant adnexal masses.

scholarly journals CAN THE AMERICAN THYROID ASSOCIATION, K-TIRADS, AND ACR-TIRADS ULTRASOUND CLASSIFICATION SYSTEMS BE USED TO PREDICT MALIGNANCY IN BETHESDA CATEGORY IV NODULES?

2020 ◽  
Vol 26 (9) ◽  
pp. 945-952 ◽  
Author(s):  
Wei Yang ◽  
Ghaneh Fananapazir ◽  
Jennifer LaRoy ◽  
Machelle Wilson ◽  
Michael J. Campbell
Keyword(s):  
Predictive Value ◽  
Thyroid Nodules ◽  
Needle Aspiration ◽  
Classification Systems ◽  
Data System ◽  
Risk Category ◽  
American Thyroid Association ◽  
Thyroid Imaging ◽  
Grading Systems ◽  
Risk Of Malignancy

Objective: Management of thyroid nodules with Bethesda category III and IV cytology on fine needle aspiration (FNA) is challenging as they cannot be adequately classified as benign or malignant. Ultrasound (US) patterns have demonstrated the utility in evaluating the risk of malignancy (ROM) of Bethesda category III nodules. This study aims to evaluate the value of 3 well-established US grading systems (American Thyroid Association [ATA], Korean Thyroid Imaging Reporting and Data System [Korean-TIRADS], and The American College of Radiology Thyroid Imaging Reporting and Data System [ACR-TIRADS]) in determining ROM in Bethesda category IV nodules. Methods: Ninety-two patients with 92 surgically resected thyroid nodules who had Bethesda category IV cytology on FNA were identified. Nodule images were retrospectively graded using the 3 systems in a blinded manner. Associations between US risk category and malignant pathology for each system were analyzed. Results: Of the 92 nodules, 56 (61%) were benign and 36 (39%) were malignant. Forty-seven per cent of ATA high risk nodules, 53% of K-TIRADS category 5 nodules, and 50% of ACR-TIRADS category 5 nodules were malignant. The ATA high-risk category had 25% sensitivity, 82% specificity, 47% positive predictive value (PPV) for malignancy. K-TIRADS category 5 had 25% sensitivity, 85% specificity, 53% PPV for malignancy. ACR-TIRADS category 5 had 25% sensitivity, 84% specificity, 50% PPV for malignancy. None of the 3 grading systems yielded a statistically significant correlation between US risk category and the ROM ( P = .30, .72, .28). Conclusion: The ATA, Korean-TIRADS, and ACR-TIRADS classification systems are not helpful in stratifying ROM in patients with Bethesda category IV nodules. Clinicians should be cautious of using ultra-sound alone when deciding between therapeutic options for patients with Bethesda category IV thyroid nodules. Abbreviations: ACR-TIRADS = The American College of Radiology Thyroid Imaging Reporting and Data System; ATA NSP = American Thyroid Association nodule sonographic patterns and risk of malignancy classification system; FN = follicular neoplasm; FNA = fine needle aspiration; FTC = follicular thyroid carcinoma; FVPTC = follicular variant of papillary thyroid carcinoma; HCC = Hurthle cell carcinoma; HCN = Hurthle cell neoplasm; K-TIRADS = Korean Thyroid Imaging Reporting and Data System; NIFTP = noninvasive follicular thyroid neoplasm with papillary-like nuclear features; NPV = negative predictive value; PPV = positive predictive value; ROM = risk of malignancy; US = ultrasound

scholarly journals Diagnostic value of self-report compared with Beck Depression Inventory (BDI-II) in screening of depression

2020 ◽  
Author(s):  
Mehran zarghami ◽  
Fatemeh Taghizadeh ◽  
Mahmood mousazadeh
Keyword(s):  
Positive Predictive Value ◽  
Beck Depression Inventory ◽  
Predictive Value ◽  
Total Population ◽  
False Negative ◽  
Diagnostic Value ◽  
Self Report ◽  
Case Group ◽  
Predictive Values ◽  
Sensitivity Specificity

AbstractBackgroundDepression is a common cause of mortality and morbidity worldwide. To detect depression, we compared Beck Depression Inventory scoring as a valid tool with participants self-reporting depression.MethodologyThis cross-sectional study aimed to explore the diagnostic values of self-reporting in patients’ with depression comparing to Beck Depression Inventory scoring in Mazandaran Persian cohort study, with a total of 1300 samples. The sample size was determined to include 155 participants through the census method. In order to increase the test power, 310 healthy participants were included in the study through random selection. In order to evaluate the diagnostic value of self-reporting, BDI-II was completed by blind interviewing to the case group as well as to another group who reported that they were not depressed, as control.ResultsSensitivity, specificity, accuracy, false positive, false negative, positive and negative predictive values of self-reporting was calculated 58.4%, 79.1%,73.4%, 20.8%, 41.6%, 51.8%, and 83.2% for the total population respectively, as well as, sensitivity, specificity, accuracy, positive and negative predictive values of self-report in males were 83.3%, 77.2%, 77.1%, 43.8% and 95.6% and 53.7%, 78.1%, 71.2%, 49.2%, and 81.1% for females, respectively.ConclusionThe positive predictive value and sensitivity of self-reporting are insufficient in total population and females, and therefore self-reporting cannot detect depressed patients, but regarding to its average positive predictive value, perhaps, it can be used to identify non-depressant individuals.

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