scholarly journals Comparison of Clinical Examination and Various Imaging Modalities in the Diagnosis of Head and Neck Cancer

2020 ◽  
Author(s):  
Uwe Schneider ◽  
Inse Graß ◽  
Martin Laudien ◽  
Joachim Quetz ◽  
Hendrik Graefe ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Head And Neck ◽  
Neck Dissection ◽  
Negative Predictive Value ◽  
Likelihood Ratio ◽  
Clinical Examination ◽  
Diagnostic Tool ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Neck Metastases

Abstract Introduction Squamous cell Carcinoma of the Head and Neck (HNSCC) is the most common tumor entity of malignant processes in the head and neck area. Due to the metastasizing behavior of these tumors, the staging is indispensable for the treatment planning and requires imaging techniques, which are sensitive, specific, and as far as possible cost-effective, to benefit ultimately the patient and to ensure optimal care. Objectives The aim of the present study is to compare the clinical examination including palpation, ultrasound and computed tomography (CT)/magnetic resonance imaging (MRI) for the diagnosis of neck metastases to make the correct indication for a neck dissection. Methods Data from 286 patients with HNSCC were analyzed for neck metastases to determine which diagnostic tool is the best to answer the question if a neck dissection is necessary or not. Each study method was examined retrospectively by comparing sensitivity, specificity, the positive/negative predictive value, the positive likelihood ratio and the diagnostic accuracy. Results The ultrasound showed a sensitivity of 91.52%, a specificity of 61.67%, a positive/negative predictive value of 76.65%/84.09%, a positive likelihood ratio of 2.39 and a diagnostic accuracy of 78.95%. The clinical examination showed a sensitivity of 75.76%, a specificity of 66.12%, a positive/negative predictive value of 75.30%/66.67%, a positive likelihood ratio of 2.24 and a diagnostic accuracy of 71.68%. The CT/MRI showed a sensitivity of 78.66%, a specificity of 62.50%, a positive/negative predictive value of 74.14%/68.18%, a positive likelihood ratio of 2.10 and a diagnostic accuracy of 71.83%. Radiographically, ultrasound, as well as the clinical examination, could be judged to be free from radiation load and side effects from the contrast medium. The high dependence on the investigator when using ultrasound made reproducibility of the results difficult. Conclusions It could be shown that ultrasound was the diagnostic tool with the highest sensitivity, positive/negative predictive value, positive likelihood ratio and diagnostic accuracy by detecting and interpreting metastases in the head and neck region correctly. Whether a neck dissection should be performed depends to a large extent on the ultrasound findings.

scholarly journals Diagnostic accuracy of Schistoso ma ICT Ig G - IgM and comparison to other used techniques screening urinary schistosomiasis in Nigeria

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Robert Soumay Houmsou ◽  
Binga Emmanuel Wama ◽  
Hemen Agere ◽  
John Ador Uniga ◽  
Timothy Jerry Jerry ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Statistical Significance ◽  
Positive Likelihood Ratio ◽  
Youden Index ◽  
P Value ◽  
Urinary Schistosomiasis

Abstract Objectives Schistosomiasis is a blood fluke parasitic illness affecting human lives in rural endemic areas. This study evaluated the performance of Schistosoma ICT Ig G - IgM for screening urinary schistosomiasis in Nigeria. Methods Three hundred and seventy four (374) urine samples were examined. Reagent strips, urine filtration and Schistosoma ICT Ig G - IgM were used for analysis. Schistosoma ICT Ig G - IgM used 2 mL of each serum for serological examination. Then, 3 mL of each preserved serum was sent to LDBIO Diagnostics, France for re-examination with Schistosoma ICT IgG-IgM and confirmation with SCHISTO Western blot (WB) IgG. The performance of the index tests was determined using sensitivity (Se), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV) and positive likelihood ratio (PLR). The Youden index (YI) and diagnostic accuracy (DA) were used to determine the accuracy of each test. The statistical significance was at p-value ≤0.05. Results The test had a sensitivity of 94.9%, specificity of 63.9%, positive predictive value of 72.4%, negative predictive value of 92.6%, and positive likelihood ratio of 2.62. Schistosoma ICT Ig G - IgM had a good Cohen’s kappa index (κ=0.68), good Youden index (YI=0.58) and good diagnostic accuracy (DA=0.78). Conclusions Schistosoma ICT Ig G - IgM has proven to be the best technique for the screening of urinary schistosomiasis in Nigeria.

scholarly journals Salivary DNA Methylation as an Epigenetic Biomarker for Head and Neck Cancer. Part I: A Diagnostic Accuracy Meta-Analysis

2021 ◽  
Vol 11 (6) ◽  
pp. 568
Author(s):  
Óscar Rapado-González ◽  
Cristina Martínez-Reglero ◽  
Ángel Salgado-Barreira ◽  
Laura Muinelo-Romay ◽  
Juan Muinelo-Lorenzo ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Head And Neck Cancer ◽  
Diagnostic Accuracy ◽  
Head And Neck ◽  
Likelihood Ratio ◽  
Neck Cancer ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Epigenetic Mechanism ◽  
Cochrane Library

DNA hypermethylation is an important epigenetic mechanism for gene expression inactivation in head and neck cancer (HNC). Saliva has emerged as a novel liquid biopsy representing a potential source of biomarkers. We performed a comprehensive meta-analysis to evaluate the overall diagnostic accuracy of salivary DNA methylation for detecting HNC. PubMed EMBASE, Web of Science, LILACS, and the Cochrane Library were searched. Study quality was assessed by the Quality Assessment for Studies of Diagnostic Accuracy-2, and sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (dOR), and their corresponding 95% confidence intervals (CIs) were calculated using a bivariate random-effect meta-analysis model. Meta-regression and subgroup analyses were performed to assess heterogeneity. Eighty-four study units from 18 articles with 8368 subjects were included. The pooled sensitivity and specificity of salivary DNA methylation were 0.39 and 0.87, respectively, while PLR and NLR were 3.68 and 0.63, respectively. The overall area under the curve (AUC) was 0.81 and the dOR was 8.34. The combination of methylated genes showed higher diagnostic accuracy (AUC, 0.92 and dOR, 36.97) than individual gene analysis (AUC, 0.77 and dOR, 6.02). These findings provide evidence regarding the potential clinical application of salivary DNA methylation for HNC diagnosis.

scholarly journals Diagnostic accuracy of the risk of malignancy index 1 compared to the more recent IOTA ADNEX model in discriminating benign from malignant adnexal masses: a multi-centric study

2019 ◽  
Vol 8 (3) ◽  
pp. 1001
Author(s):  
Amita Ray ◽  
Divya S. ◽  
B. N. Kumar Guru ◽  
A. S. Ramaswamy ◽  
Bharat Kumar
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Adnexal Masses ◽  
Medical College ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Almost All

Background: Identification of the nature of an adnexal mass can ensure optimum management. Single parameters as well as diagnostic models using a combination of several parameters are in use. The International Ovarian Tumor Analysis (IOTA) consortium has developed and published the Assessment of Different NEoplasias in the adneXa (ADNEX) model, which differentiates between benign and malignant masses. Authors conducted this study with the aim of finding a cut off value for this model in the study population and comparing the diagnostic accuracy of this model to that of the risk of malignancy (RMI).Methods: Women with adnexal masses admitted to the 3 medical college affiliated hospitals for surgical management were included in this study. Appropriate investigations were done to calculate the RMI-I and ADNEX score for each participant. A cut off score for the ADNEX model was determined and diagnostic accuracy tests were done for comparison.Results: At a cut-off of 29 for the ADNEX model and 200 for RMI model the sensitivity was 75% and 77.8, specificity 100% and 80.6%; Positive Predictive Value (PPV) 100%and 60%; Negative Predictive Value (NPV) 91% and 90.6%; Positive Likelihood ratio of infinity and 4 and a negative Likelihood Ratio of 2.8 and 2.5 respectively.Conclusions: The ADNEX model rates higher than the RMI in almost all tests of diagnostic accuracy and can be used for triaging, framing a referral policy and prioritizing surgery.

Interpretations of the dial test should be reconsidered. A diagnostic accuracy study reporting sensitivity, specificity, predictive values and likelihood ratios

2018 ◽  
Vol 3 (4) ◽  
pp. 198-204
Author(s):  
Richard Norris ◽  
Christian Kopkow ◽  
Michael James McNicholas
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Knee Ligament ◽  
Predictive Values ◽  
Medial Knee ◽  
Sensitivity Specificity ◽  
Dial Test

ObjectivesTo determine the accuracy of the dial test, used alone and in combination with additional clinical tests, in the diagnosis of an isolated posterolateral corner (PLC) injury, combined PLC-posterior cruciate ligament (PCL) injury or medial knee injury.MethodsA retrospective analysis of consecutive patients who underwent arthroscopic and/or open knee ligament reconstruction surgery was conducted. The dial test was performed in an outpatient’s clinic as part of a routine knee examination. Examination under anaesthetic and intraoperative findings were used as the reference standard test to determine the diagnostic accuracy of the dial test used alone and in combination with other PCL and medial knee tests. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR−) were calculated with corresponding 95% CI.ResultsData from 87 patients were available and included in the data analysis. For an isolated PLC injury, the dial test sensitivity and specificity were 0.20 (95% CI 0.08 to 0.39) and 1.00 (95% CI 0.92 to 1.00). The PPV and NPV were 1.00 (95% CI 0.52 to 1.00) and 0.70 (95% CI 0.59 to 0.80). LR+ and LR− of the dial test detecting isolated PLC injury were infinity (95% CI calculation not possible, infinity) and 0.80 (95% CI 0.41 to 1.57). The diagnostic accuracy of the dial test, when used alone and in combination with other PCL and medial knee tests, was also calculated for combined PLC-PCL and medial knee injuries.ConclusionA negative dial test at 30° of knee flexion can rule out a PLC injury, while a test that is positive at 30° and negative at 90° indicates a PLC injury, without concomitant injury to the PCL or medial knee ligaments. A positive test at both 30° and 90° can indicate isolated PLC, combined PLC-PCL or medial ligament injuries, and other knee examination findings are required to differentially diagnose these injury patterns.Level of evidenceII.

scholarly journals Prevalence and identification of anxiety disorders in pregnancy: the diagnostic accuracy of the two-item Generalised Anxiety Disorder scale (GAD-2)

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e023766 ◽  
Author(s):  
Selina Nath ◽  
Elizabeth G Ryan ◽  
Kylee Trevillion ◽  
Debra Bick ◽  
Jill Demilew ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Positive Predictive Value ◽  
Anxiety Disorders ◽  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Stratified Sampling ◽  
Generalised Anxiety Disorder ◽  
Population Prevalence

ObjectiveTo estimate the population prevalence of anxiety disorders during pregnancy and investigate the diagnostic accuracy of the two-item Generalised Anxiety Disorder scale (GAD-2) for a) GAD and b) any anxiety disorder.DesignCross-sectional survey using a stratified sampling design. Sampling weights were used in the analysis to adjust for the bias introduced by the stratified sampling.SettingInner-city maternity service, South London.Participants545 pregnant women were interviewed after their first antenatal appointment; 528 provided answers on the GAD-2 questions.Main outcome measuresDiagnosis generated by the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition (SCID).ResultsPopulation prevalence of anxiety disorders was 17% (95% CI 12% to 21%): 5% (95% CI 3% to 6%) for GAD, 4% (95% CI 2% to 6%) for social phobia, 8% (95% CI 5% to 11%) for specific phobia and 2% (95% CI 1% to 4%) for obsessive-compulsive disorder. Post-traumatic stress disorder (PTSD) prevalence was unclear due to higher levels of reluctance to respond to PTSD interview questions but sensitivity analyses suggest population prevalence maybe up to 4% (95% CI 2% to 6%). Weighted sensitivity of GAD-2 for GAD (cut-off ≥3) was 69%, specificity 91%, positive predictive value 26%, negative predictive value 98% and likelihood ratio 7.35. For any anxiety disorder the weighted sensitivity was 26%, specificity 91%, positive predictive value 36%, negative predictive value 87% and likelihood ratio 2.92.ConclusionsAnxiety disorders are common but GAD-2 generates many false positives and may therefore be unhelpful in maternity services.

scholarly journals Value of sonographic pseudogestational sac sign in the diagnosis of Meckel diverticulum in children presenting with bleeding per rectum: a 15-year prospective study

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Samar M. El-Maadawy ◽  
Nesreen Alaaeldin ◽  
Vassil N. Zefov
Keyword(s):  
Clinical Practice ◽  
Likelihood Ratio ◽  
Diagnostic Tool ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
International Standards ◽  
Diagnostic Tools ◽  
Meckel Diverticulum ◽  
Bleeding Per Rectum

Abstract Background Meckel diverticulum is the most common congenital abnormality of the gastrointestinal tract. Gastrointestinal bleeding is the most common complication of Meckel diverticulum in the paediatric population; the bleeding mostly occurs in the first 2 years of life. Because the diverticulum is seldom seen in clinical practice, misdiagnosis and delayed diagnosis are not uncommon. CT and nuclear studies are the most used diagnostic tools in clinical practice. However, radiation and sensitivity concerns remain an issue. Ultrasound has been suggested as an alternative diagnostic tool in diagnosing Meckel diverticulum with mixed results. The aim of our study is to assess the value of using a new sonographic sign, the pseudogestational sac sign in diagnosing Meckel diverticulum in children presenting with bleeding per rectum. Ultrasound was performed for all children. Results were correlated with nuclear studies, histopathology and clinical follow-up findings. Results Seventy-three children were included in our study. The pseudogestational sac sign was present in 46 (63%) and absent in 27 (37%) cases. Forty-five children were ultimately diagnosed as Meckel diverticulum. The age ranged from 2 months to 9 years with a mean of 2.3 years. The boy-to-girl ratio was 4.6:1 with 60% of children presenting during their first 2 years of life. The ultrasound performance using the pseudogestational sac sign revealed a sensitivity of 91.1%, specificity of 82.1%, positive predictive value of 89.1%, negative predictive value of 85.2%, positive likelihood ratio of 5.1, negative likelihood ratio of 0.11 and accuracy of 87.7%. Conclusion The sonographic pseudogestational sac sign is a reliable diagnostic tool for diagnosing Meckel diverticulum in children presenting with bleeding per rectum. The sonographic diagnosis of Meckel diverticulum complies with the international standards of “Image Gently”.

scholarly journals Cut-off Values of Bacteriuria and Leukocyturia for the Diagnosis of Urinary Tract Infections in Pediatric Patients

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Muhamad Ramdani Ibnu Taufik ◽  
Dian Ariningrum ◽  
Yusuf Ari Mashuri
Keyword(s):  
Urinary Tract ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Likelihood Ratio ◽  
Urinary Tract Infections ◽  
Predictive Value ◽  
Pediatric Patients ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Tract Infections

The diagnosis of Urinary Tract Infection (UTI) in infants and children is often missed. There have been no studies ondiagnostic tests using automated urine analyzer in pediatric patients. This study aimed to determine the cut-off values ofbacteriuria and leukocyturia using the automated urine analyzer Sysmex UX-2000 to diagnose UTI with the gold standard ofautomated urine culture using VITEK 2 in pediatric patients at Dr. Moewardi Hospital, Surakarta. An observational analyticalstudy with the cross-sectional design was during August-October 2019 at the Clinical Pathology Laboratory and ClinicalMicrobiology Laboratory of Moewardi Hospital, Surakarta. Eighty-four patients sample were collected. This study'sdependent variable was the diagnosis of urinary tract infections in pediatric patients established with positive culture results(bacterial count of ≥ 105 CFU/mL urine). This study's independent variables were the number of urine bacteria (BACT) andthe number of urine leukocytes (WBC) from urinalysis using the Sysmex UX-2000 automated urine analyzer. A diagnostictest was used for data analysis. The best cut-off value for leukocyturia was 37 cells/μL with a 61.1% sensitivity, 63.6%specificity, a positive predictive value of 31.4%; a negative predictive value of 85.7; positive likelihood ratio of 1.64; negativelikelihood ratio of 0.595, and accuracy of 63%. The best cut-off for the number of bacteria was 143 cells/μL with a sensitivityof 66.7%; specificity of 71.2%, the positive predictive value of 38.7%, the negative predictive value of 88.7%; positivelikelihood ratio of 2.14; negative likelihood ratio of 0.432 and an accuracy of 70.2%. A cut-off of 37 cells/μL for leukocyturiaand 143 cells/μL for bacteriuria using an automated urine analyzer can be used for UTI screening in pediatric patients.

scholarly journals DIAGNOSTIC ACCURACY OF 68Ga-PSMA PET/MRI AND MULTIPARAMETRIC MRI IN DETECTING INDEX TUMOR IN RADICAL PROSTATECTOMY SPECIMEN

2021 ◽  
Author(s):  
UGUR COSAR ◽  
Ilker Sen ◽  
Uguray Aydos ◽  
Murat Yavuz Koparal ◽  
Murat Ucar ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Multiparametric Mri ◽  
Psma Pet ◽  
Significant Difference ◽  
Index Tumour

ABSTRACT Objective To evaluate the diagnostic accuracy of the 68Gallium (68Ga) - prostate specific membrane antigen (PSMA) positron emission tomography/magnetic resonance imaging (PET/MRI) and multiparametric MRI (mpMRI) by region-based comparison of index tumour localisations using histopathological tumour maps of patients who underwent radical prostatectomy due to clinically significant prostate cancer. Patients and Methods The study included 64 patients who underwent radical prostatectomy after primary staging with mpMRI and 68Ga-PSMA PET/MRI. Diagnostic analysis was performed by dividing the prostate into four anatomic regions as left/right anterior and left/right posterior. The extension of the lesions in mpMRI and the pathological uptake in 68Ga-PSMA PET/MRI were matched separately for each region with the extension of the index tumour into each region. Results The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and the accuracy of mpMRI and 68Ga-PSMA PET/MRI are shown as 55.7%, 91.8%, 80.6%, 77.2%, 78.1% and 60.8%, 94.3%, 86.8% 79.8%, 83.5%, respectively. 68Ga-PSMA PET/MRI has higher sensitivity and specificity compared with mpMRI. However, no statistically significant difference was found (p = 0.464). Combined imaging had significantly higher diagnostic accuracy compared with mpMRI and 68Ga-PSMA PET/MRI (change in AUC: 0.084 and 0.046, p < 0.001 and p = 0.028, respectively), while no statistically significant difference was found between mpMRI and 68Ga-PSMA PET/MRI (change in AUC: 0.038, p = 0.246). Conclusion 68Ga-PSMA PET/MRI had higher clinical diagnostic accuracy in prostate cancer compared with mpMRI. Diagnostic accuracy was significantly increased in the combined use of both imaging modalities.

Abstract 1122‐000033: Automated Detection of Intracerebral Hemorrhage Using Artificial Intelligence: Pilot Deployment of Viz ICH

2021 ◽  
Vol 1 (S1) ◽  
Author(s):  
Roshini Kalagara ◽  
Susmita Chennareddy ◽  
Stavros Matsoukas ◽  
Emma Reford ◽  
Colton Smith ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intracerebral Hemorrhage ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Index Test ◽  
Scan Time ◽  
Initial Care

Introduction : Stroke is a major cause of morbidity and mortality. Hemorrhagic strokes are often more severe and associated with higher mortality when compared to ischemic stroke and account for approximately 13% of all strokes. Initial care for patients with intracerebral hemorrhage (ICH) is in part guided by neuroimaging findings. Non‐contrast computed tomography (NCCT) is often the first imaging obtained in the work up of the acute stroke patient given its diagnostic accuracy for hemorrhage, ubiquity, low cost, and short scan time. Immediate evaluation of imaging by stroke experts, such as neurologists, neurosurgeons, and radiologists, is essential. Artificial intelligence tools can help to expedite image assessment and careteam coordination thereby accelerating time to treatment. In this study, we report on the use of Viz ICH, an AI‐enhanced ICH detection platform, to identify ICH on initial CT and coordinate emergent care in an urban health system with an ICH Center. Methods : All consecutive stroke codes presenting with ICH from May 2019 to August 2019 were eligible for analysis. Non‐contrast CT (NCCT) was conducted for each patient and submitted to the Viz ICH in a prospective fashion. An automated volumetric analysis of these NCCTs was conducted by Viz ICH and assessment was conducted for potential ICH. If suspected ICH was detected, Viz ICH sent an automated prompt to the stroke care team for review. CT impressions provided by radiologists served as the clinical reference standard test and Viz ICH output served as the index test. Diagnostic accuracy tests were then performed. Results : A total of 682 patients were analyzed for ICH, out of which 28 patients were positive for intracerebral hemorrhage (ICH) (4%) and 654 were negative for hemorrhage (96%) based on radiology impressions. Viz ICH was able to correctly identify hemorrhages in 25/28 patients and non‐hemorrhages in 650/654 patients. Overall, the software had high diagnostic accuracy with 89.3% sensitivity, 99.4% specificity, and an overall accuracy of 99.0%. The software also had a positive predictive value of 86.2%, a negative predictive value of 99.5%, a positive likelihood ratio of 145.98, and a negative likelihood ratio of 0.108. Conclusions : Viz ICH is an AI‐enhanced platform that may help in the diagnosis and detection of ICH, with a sensitivity of 89.3 and a specificity of 99.4% in this preliminary study. Though future validation studies with a larger cohort of patients positive for each type of hemorrhage must be conducted for true diagnostic accuracy data, Viz ICH has the potential to be an adjunct tool to streamline ICH triage, reduce treatment delays, and improve outcomes of patients presenting with ICH.

Diagnostic Accuracy of Ultrasound in Palpable Breast Lesions

2020 ◽  
Vol 5 (3) ◽  
pp. 1196-1200
Author(s):  
Manish Raj Pathak ◽  
Mahesh Gautam ◽  
Rashmita Bhandari
Keyword(s):  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Diagnostic Tool ◽  
Predictive Value ◽  
Breast Lesions ◽  
Non Invasive ◽  
Malignant Lesions ◽  
Palpable Breast ◽  
Sensitivity Specificity

Introduction: Breast carcinoma is the second leading cause of cancer related mortality in females around the world. Ultrasound plays a key role in differentiating cystic and solid lesions and is a convenient and non-invasive diagnostic tool to differentiate between benign and malignant lesions. Objectives: The aim of this study is to evaluate the diagnostic accuracy of ultrasound in palpable breast lesions. Methodology: A prospective cross-sectional study was carried out in patients with palpable breast lesions who presented in Department of radio diagnosis and imaging of Nobel Medical collegefor a period of one-year from February 2019- January 2020 using ultrasound. A total of 60 patientswereevaluated in the study. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy were calculated. Results: Out of 60 patients evaluated, ultrasound showed 46 (76.7%) cases to be benign and 14 (23.3%) cases to be malignant. FNAC revealed benign disease in 47 (78.3%) patients and malignant disease in 13 (21.7%) patients. The most common benign lesion was fibroadenoma. We found nearly 91.7% of the malignant lesions had spiculated margins and microcalcification. The sensitivity of ultrasound was 95.74% and specificity 92.3% with diagnostic accuracy 95%. Conclusion: Ultrasound is a convenient and non-invasive diagnostic tool with good sensitivity, specificity, positive predictive value, negative predictive value and accuracy in palpable breast lesions.

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