Giá trị của siêu âm sử dụng bảng phân loại ACR - TIRADS 2017 trong chẩn đoán nhân giáp

2022 ◽  
Author(s):  
Quang Huy Huynh
Keyword(s):  
Roc Curve ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Imaging Modality ◽  
High Sensitivity ◽  
The Elderly ◽  
Thyroid Ultrasound ◽  
Cross Sectional ◽  
Non Invasive ◽  
Classification Score

TÓM TẮT Đặt vấn đề: Bệnh lý nhân giáp là một bệnh lý phổ biến, đặc biệt là ở phụ nữ và người lớn tuổi. Siêu âm tuyến giáp, được xem như là một phương tiện đầu tay, là phương pháp chẩn đoán hình ảnh có những khả năng vượt trội như tương đối đơn giản, rẻ tiền, không xâm lấn, có thể lặp lại nhiều lần để chẩn đoán bệnh, và có khả năng phát hiện được những tổn thương rất nhỏ. Nghiên cứu này nhằm xác định xác giá trị của siêu âm sử dụng bảng phân loại ACR-TIRADS 2017 trong chẩn đoán nhân giáp. Phương pháp: Thiết kế nghiên cứu mô tả cắt ngang, với cỡ mẫu 169 bệnh nhân được phẫu thuật nhân giáp. Trước phẫu thuật, bệnh nhân được siêu âm tuyến giáp bằng máy GE (LOGIQ S7 Pro, LOGIQ E9 …) với đầu dò linear tần số 7,5 - 12 MHz. Kết quả siêu âm bảng phân loại TI-RADS theo ACR 2017 so sánh với tiêu chuẩn vàng là kết quả giải phẫu bệnh. Kết quả: Siêu âm áp dụng bảng phân loại ACR-TIRADS 2017 trong phân biệt nhân giáp lành tính và ác tính: Độ nhạy 97,9%, độ đặc hiệu 82,6%, giá trị tiên đoán dương 95,8%, giá trị tiên đoán âm 90,5%, và độ chính xác 94,9%. Diện tích dưới đường cong ROC (AUC) của phân loại ACR-TIRADS trong chẩn đoán nhân giáp ác tính là bằng 0,953 (p < 0,001). Điểm cắt (cut - off) được chọn là TIRADS 4. Diện tích dưới đường cong ROC (AUC) của điểm số của hạt giáp theo phân loại ACR- là 0,967 (p < 0,001). Điểm cắt (cut - off) được chọn là 5 điểm. Kết luận: Siêu âm áp dụng bảng phân loại ACR-TIRADS 2017 có giá trị trong chẩn đoán phân biệt nhân giáp lành tính và ác tính với độ nhạy và độ đặc hiệu cao. ABSTRACT THE USE OF THYROIDULTRASOUND WITH ACR - TIRADS 2017 CLASSIFICATION IN THE DIAGNOSIS OF THYROID NODULES Backgrounds: Thyroid disease is very common, especially in women and the elderly. Thyroid ultrasound, as a first - line tool, is an imaging modality with outstanding capabilities such as being relatively simple, inexpensive, non - invasive, and repeatable for diagnosis of thyroid diseases, and can detect very small lesions. This study aims to determine the use of thyroid ultrasound with ACR-TIRADS 2017 classification in the diagnosis of thyroid nodules. Methods: A cross - sectional descriptive study was conducted in 169 patients undergoing thyroidectomy. All patients had been preoperatively performed thyroid ultrasound using a GE machine (LOGIQ S7 Pro, LOGIQ E9 ...) with a linear transducer frequency of 7.5 - 12 MHz. The ultrasound results using the 2017 ACR-TIRADS classification compared with pathological findings as the gold standard diagnostics. Results: Thyroid ultrasound using the 2017 ACR-TIRADS classification could distinguish benign and malignant thyroid nodules with the sensitivity of 97.9%, specificity 82.6%, positive predictive value 95.8%, negative predictive value 90.5%, and accuracy of 94.9%. The area under the ROC curve (AUC) of the ACRTIRADS classification in the diagnosis of malignant thyroid nodules was 0.953 (p < 0.001). The cut - off point was selected as TIRADS 4. The area under the ROC curve (AUC) of the ACR - classification score of the armor particles was 0.967 (p < 0.001). The cut - off point is selected as 5 points. Conclusion: Thyroid ultrasound using the 2017 ACR-TIRADS classification is valuable in the differential diagnosis of benign and malignant thyroid nodules with high sensitivity and specificity. Keywords: Ultrasound, thyroid nodules, ACR-TIRADS 2017, benign, malignant.

scholarly journals Overview of longstanding bronchial foreign bodies and role of virtual bronchoscopy

2021 ◽  
Vol 7 (11) ◽  
pp. 1729
Author(s):  
Arun P. Ajith ◽  
Aishwarya Ullal ◽  
Sanjeev Mishra
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Foreign Bodies ◽  
Imaging Modality ◽  
Three Dimensional ◽  
High Sensitivity ◽  
Cross Sectional Study ◽  
Rigid Bronchoscopy ◽  
Virtual Bronchoscopy ◽  
Cross Sectional

<p><strong>Background:</strong> Virtual bronchoscopy (VB) is a software based, three-dimensional visualization format created from non-invasive medical imaging methods such as CT and magnetic resonance imaging, with the goal of creating views similar to minimally invasive bronchoscopy procedure. The aim of the study was to find the usefulness of VB in diagnosing vegetative and non-vegetative longstanding intra bronchial foreign bodies (FB).</p><p><strong>Methods</strong>: This was a retrospective and prospective cross-sectional study conducted in the department of otorhinolaryngology M. G. M. M. C and M. Y. hospital Indore for a period of 5 years. The medical records of patients with FB aspiration from august 2006 to September 2015 were reviewed. Data was collected regarding their clinical presentation examination and chest x-ray findings. Patients with suspected FB aspiration were subjected to VB and rigid bronchoscopy was performed.<strong></strong></p><p><strong>Results: </strong>In the subjects, we observed that chest radiograph were normal in as many as 40% cases. Hence negative chest radiographs do not rule out FB.  In 48 patients with FB aspiration, which was detected by VB, 46 patients were diagnosed to have FB on rigid bronchoscopy. This amounts to a positive predictive value of 98%, which was similar to the gold standard, which is rigid bronchoscopy which had a positive predictive value of 99%.</p><p><strong>Conclusions: </strong>VB is the only imaging modality which gives 99.9% reassurance about the presence or absence of a FB, because of its high sensitivity and specificity, hence proves to be a lifesaving tool.</p>

Ex Vivo assessment of competent strut coverage after coronary stenting by optical coherence tomography

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Bhoite ◽  
H Jinnouchi ◽  
F Otsuka ◽  
Y Sato ◽  
A Sakamoto ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Predictive Value ◽  
Ex Vivo ◽  
High Sensitivity ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Neointimal Thickness ◽  
Stent Strut ◽  
Oct Imaging ◽  
Definition Of

Abstract Background In many studies, struts coverage is defined as &gt;0 mm of tissue overlying the stent struts by optical coherence tomography (OCT). However, this definition has never been validated using histology as the “gold standard”. The present study sought to assess the appropriate cut-off value of neointimal thickness of stent strut coverage by OCT using histology. Methods OCT imaging was performed on 39 human coronary arteries with stents from 25 patients at autopsy. A total of 165 cross-sectional images from 46 stents were co-registered with histology. The optimal cut-off value of strut coverage by OCT was determined. Strut coverage by histology was defined as endothelial cells with at least underlying two layers of smooth muscle cells. Considering the resolution of OCT is 10–20 μm, 3 different cut-off values (i.e. at ≥20, ≥40, and ≥60 μm) were assessed. Results A total of 2235 struts were evaluated by histology. Eventually, 1216 struts which were well-matched struts were analyzed in this study. By histology, uncovered struts were observed in 160 struts and covered struts were observed in 1056 struts. The broadly used definition of OCT-coverage which does not consider neointimal thickness yielded a poor specificity of 37.5% and high sensitivity 100%. Of 3 cut-off values, the cut-off value of &gt;40 μm was more accurate as compared to &gt;20 and &gt;60 mm [sensitivity (99.3%), specificity (91.0%), positive predictive value (98.6%), and negative predictive value (95.6%)] Conclusion The most accurate cut-off value was ≥40 μm neointimal thickness by OCT in order to identify stent strut coverage validated by histology. Funding Acknowledgement Type of funding source: None

Ultrasound Employed to Detect Breast Lumps among Symptomatic Patients in Tertiary Care Hospital

2020 ◽  
Vol 10 (4) ◽  
pp. 296-300
Author(s):  
Ameet Jesrani ◽  
Pari Gul ◽  
Nida Khan ◽  
Seema Nayab ◽  
Fahmida Naheed
Keyword(s):  
Predictive Value ◽  
Imaging Modality ◽  
Tertiary Care ◽  
Ultra Sound ◽  
Categorical Variables ◽  
Breast Lesions ◽  
Care Hospital ◽  
Continuous Variables ◽  
Cross Sectional ◽  
Breast Lumps

Objective: To assess different pathological breast lesions in ultra sound in a subgroup of population. Study design and setting: It was a cross sectional study conducted at Bolan Medical Complex Hospital Quetta, Pakistan from June 2018 to January 2019. Methodology: Total 103 patients with breast swelling, pain and discharge were targeted. Gray scale and Doppler Ultrasound of breast followed by FNAC/biopsy of breast lesion was performed. Data presented as mean ± standard deviation for continuous variables and frequency with percentages for categorical variables. Results: Out of 48 clinically palpable lumps US detected all of 48 lumps and additionally 12 clinically non palpable masses were detected on US examination. Thus, overall sensitivity of ultrasound in detecting breast lumps was 100%. Fibroadenoma of the breast was diagnosed accurately in 80.3% of women. Ultrasound reliably differentiated cystic from solid breast masses (100%). The sensitivity of ultrasound for detecting breast carcinoma was 63.4% with a positive predictive value of 87.5%, a negative predictive value of 99.5% and accuracy of 58.33%. US findings most suggestive of benign lesions were oval or round shape in 88.3%, well defined margin in 84%, absent lobulation in 86.04% and wider than taller ratio in 90.69% of the cases.US findings of most predictive for malignancy were of irregular shape in 81.8%, ill-defined margin in 90.9% and length to height ratio in 63.6% of cases. Conclusion: Ultrasound is simple, cheap, safe and relatively accessible imaging modality for evaluation of breast pathologies. Due to its high sensitivity in diagnosing benign breast lesions particularly cystic lesions and fibroadenoma unnecessary interventions can be avoided

scholarly journals Cardiac biomarkers as prognosticators among SARS-CoV-19 patients in a tertiary hospital in Philippines

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
R Ong ◽  
C Chacon ◽  
S Javier
Keyword(s):  
Creatine Kinase ◽  
Logistic Regression ◽  
Hospital Mortality ◽  
Roc Curve ◽  
Predictive Value ◽  
Troponin I ◽  
Binary Logistic Regression ◽  
High Sensitivity ◽  
Cardiac Biomarkers ◽  
Optimal Cutoff

Abstract Background There is overwhelming volume of confirmed cases of COVID-19, despite this numerous knowledge gaps remain in the diagnosis, management, and prognostication of this novel coronavirus infection, making prevention and control a challenge. Methods This retrospective cohort study included patients with real-time reverse transcriptase polymerase chain reaction (rRT-PCR)-confirmed COVID-19. Binary logistic regression was used to determine the association between the cardiac biomarkers and in-hospital mortality. ROC, AUC, and cutoff analyses were used to determine optimal cutoff values for the cardiac biomarkers. Results A total of 90 subjects with a complete panel of cardiac biomarkers out of the 224 rRT-PCR confirmed cases were included. The median age was 57 years (IQR, 47–67 years), majority were males. Sixty-six (77.6%) subjects survived while 19 (22.4%) expired. The most common presenting symptom was fever (75.6%), and the most common comorbidity was hypertension (67.8%). Spearman rho correlation analysis showed moderate positive association of high sensitivity troponin I (hsTnI) with in-hospital mortality (R, 0.434, p = &lt;0.001). Multivariate binary logistic regression analysis showed that creatine kinase and hsTnI were independently associated with in-hospital mortality (OR, 4.103 [95% CI, 1.241–13.563], p=0.021; and OR, 7.899 [95% CI, 2.430–25.675], p=0.001, respectively). ROC curve analysis showed that hsTnI was a good predictor for in-hospital mortality (AUC, 0.829 [95% CI, 0.735–0.923], p = &lt;0.001) and that creatine kinase was a poor predictor (AUC, 0.677 [95% CI, 0.531–0.823], p=0.018). Optimal cutoff point derived from the ROC curve for hsTnI was 0.010 ng/ml (J, 0.574) with a sensitivity of 84% (TPR, 0.842 [95% CI, 0.604–0.966]), specificity of 73% (TNR, 0.732 [95% CI, 0.614–0.386]), and an adjusted negative predictive value of 99% (Known prevalence*adjusted NPV, 0.989), a positive likelihood ratio of 20% (LR+, 3.147 [95% CI, 2.044–4.844]) and a negative likelihood ratio of 30% (LR−, 0.216 [95% CI, 0.076–0.615]). Conclusion High sensitivity troponin I level was a good tool with a very high negative predictive value in significantly predicting in-hospital mortality among rRT-PCR positive COVID-19 patients. FUNDunding Acknowledgement Type of funding sources: None. ROC Curve

scholarly journals Evaluating Specivity, Sensitivity, Positive and Negative Predictive Values of CA125 for Diagnosing Ovarian Cancer

2021 ◽  
Vol 24 (2) ◽  
pp. 196-203
Author(s):  
Elahe Fini ◽  
◽  
Neda Nasirian ◽  
Bahram Hosein Beigy ◽  
◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Positive Predictive Value ◽  
Tumor Marker ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Screening Test ◽  
High Sensitivity ◽  
Medical Community ◽  
Cross Sectional ◽  
Predictive Values

Background and Aim: Ovarian cancer is among the most common cancers in women worldwide. CA125 is the most frequent biomarker used in the screening for ovarian cancer. CA125 has no high sensitivity and specificity as a screening test in the medical community; however, because of being simple and noninvasive, it is almost always requested for evaluation and ruling out cancer. It plays an important role in the treatment and post-treatment process, the prediction of prognosis, and the relapse of the disease. The present study aimed to determine the relationship between a high level of CA125 tumor marker and ovarian cancer by detecting spesivity, sensivity, positive and negative predictive values. Methods & Materials: In this cross-sectional study, all cases undergoing CA125 test in Velayat Hospital in 2017-1028 were evaluated for having ovarian cancer. In addition, the CA125 level was compared between healthy individuals and patients with ovarian cancer. Finally, the obtained data were analyzed using SPSS. Ethical Considerations: The present study was approved by the Qazvin University of Medical Sciences (Ethics Code: IR.QUMS.REC.1396.316). Results: In this study, 35.3% of the study participants received a definite diagnosis of ovarian cancer. Generally, CA125 values were negative in 41.8% and positive in.58.2% of the study subjects. The sensitivity of the test was measured as 80.1%, the specivity as 53.6%, the positive predictive value equaled 48.4%, and the negative predictive value was measured as 83%. There was a significant relationship between age and the presence of ovarian cancer, and serum CA125 levels. Conclusion: The present study suggested that age and the serum level of CA125 were statistically significant. Finally, CA125 levels were significantly related to ovarian cancer. It provided moderate specivity and specivity as well as low positive predictive value and high negative predictive value as a tumor marker; it is valuable for ruling out of tumor but not appropriate as a screening test.

scholarly journals Diagnostic Value of CK19, HBME-1 and TROP2 Biomarkers in Identification of Different Types of Thyroid Follicular Neoplasms

2021 ◽  
Author(s):  
Shohreh Vojuhi ◽  
Masoud Mohebbi ◽  
Zohreh Mousavi ◽  
Mohammadali Yaghoubi ◽  
Reza Ziaolhagh
Keyword(s):  
Positive Predictive Value ◽  
Papillary Carcinoma ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Follicular Adenoma ◽  
Thyroid Neoplasms ◽  
Diagnostic Value ◽  
Cross Sectional ◽  
Predictive Values ◽  
Different Types

Thyroid malignancies are found in 7% to 15% of all thyroid nodules. Immunohistochemical markers, including CK19, HBME-1and TROP2, have shown an effective role in identifying these malignancies. Hence, due to the lack of appropriate diagnostic tests for the identification of thyroid neoplasms, in this study, we aimed to determine the diagnostic value of these biomarkers in the identification of different types of follicular thyroid neoplasms. In this cross-sectional study, paraffin-embedded tissue blocks from the surgical resection of patients with thyroid nodules, referring to Imam Reza and Razavi Hospitals of Mashhad in 2017, were studied. Sensitivity, specificity, and positive and negative predictive values of these biomarkers for the identification of different types of follicular thyroid neoplasms were also studied. 129 patients with a mean age of 44.65±12.59 years participated in this study, of whom 101 (78.29%) were women. The most common type of follicular thyroid neoplasm was papillary carcinoma (60.47%). The highest sensitivity (94.87%) and positive predictive value (68.51%) in the detection of follicular neoplasms was observed by CK19 in papillary carcinoma. The sensitivity and positive predictive value of TROP2 in the detection of papillary neoplasms was 93.58% and 75.25%, respectively. In addition, HBME-1 had the highest specificity (72.54 %) and positive predictive value (81.57%) in identifying this neoplasm. The results of this study showed that CK19, HBME-1, and TROP2 had high diagnostic value in the detection of papillary thyroid neoplasms. Although these biomarkers had low diagnostic value in identifying follicular adenoma and carcinoma, given the high negative predictive value, they can be considered as powerful markers in identifying negative cases.

scholarly journals Predicting Neck Abscess with Contrast-Enhanced Computed Tomography

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Melisa Lim Seer Yee ◽  
Noraini Abdul Rahim ◽  
Ning Ajleaa Ngah ◽  
Yang Faridah Abdul Aziz ◽  
Sethu Subha
Keyword(s):  
Computed Tomography ◽  
Predictive Value ◽  
Imaging Modality ◽  
Local Population ◽  
High Sensitivity ◽  
Neck Abscess ◽  
Contrast Enhanced ◽  
Study Population ◽  
Enhanced Computed Tomography ◽  
Contrast Enhanced Computed Tomography

Neck abscesses are difficult to diagnose and treat. Currently, contrast-enhanced computed tomography (CECT) is the imaging modality of choice. The study aims to determine the predictive value of CECT findings in diagnosing neck abscess, causes of neck abscess and the most common neck space involved in the local population. 84 consecutive patients clinically suspected to have neck abscess who underwent CECT and surgical confirmation of pus were included. Demographic and clinical data were recorded. 75 patients were diagnosed as having neck abscess on CECT; out of those 71 patients were found to have pus. Overall CECT findings were found to have a high sensitivity (98.6%) and positive predictive value (PPV) (94.7%) but lower specificity (67.2%) in diagnosing neck abscess. The CECT diagnostic criterion with the highest PPV is the presence of rim irregularity (96%). The most common deep neck space involved is the submandibular compartment, which correlates with the finding that odontogenic cause was the most common identifiable cause of abscess in the study population. Thus, in a patient clinically suspected of having neck abscess, CECT findings of a hypodense mass with rim irregularity are helpful in confirming the diagnosis and guiding clinical management.

scholarly journals Combine preoperative estimation of serum thyroglobulin and ACR-thyroid imaging reporting and data system scoring could accurately define malignant thyroid nodules

2020 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
Waseem A. Shoda
Keyword(s):  
Roc Curve ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Curve Analysis ◽  
Data System ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Serum Thyroglobulin ◽  
Thyroid Imaging ◽  
Significant Difference

Background: Evaluation of diagnostic ability of preoperative estimation of serum thyroglobulin (TG) to detect malignant thyroid nodules (TN) in comparison to the American College of Radiology, Thyroid imaging reporting and data system (ACR-TIRADS), fine needle aspiration cytology (FNAC) and intraoperative frozen section (IO-FS).Methods: 34 patients with ACR-TIRADS 2-4 TN were evaluated preoperatively for identification of malignancy and all underwent total thyroidectomy with bilateral neck block dissection if indicated. Results of preoperative investigations were statistically analyzed using the Receiver operating characteristics (ROC) curve analysis as predictors for malignancy in comparison to postoperative paraffin sections.Results: Preoperative serum TG levels had 100% sensitivity and negative predictive value, while ACR-TIRADS scoring had 100% specificity and positive predictive value with accuracy rates of 95.35% and 97.67% for TG and TIRADS, respectively. ROC curve analysis defined preoperative ACR-TIRADS class and serum TG as highly diagnostic than FNAC for defining malignancy with non-significant difference between areas under curve for TIRADS and TG. For cases had intermediate risk of malignancy on TIRADS, IO-FS had missed 3, FNAC missed 4, while serum TG levels were very high in the 13 cases and were defined by ROC curve as the only significant predictor for malignancy.Conclusions: Preoperative estimation of serum TG showed higher diagnostic validity than FNAC, high predictability of cancer and ability to verify the intermediate findings on TIRADS. Combined preoperative TIRADS and TG estimation could accurately discriminate malignant TN with high accuracy and spare the need for preoperative FNAC or IO-FS. 

scholarly journals Lung Ultrasound in the Screening of Pulmonary Interstitial Involvement Secondary to Systemic Connective Tissue Disease: A Prospective Pilot Study Involving 180 Patients

2021 ◽  
Vol 10 (18) ◽  
pp. 4114
Author(s):  
Natalia Buda ◽  
Anna Wojteczek ◽  
Anna Masiak ◽  
Maciej Piskunowicz ◽  
Wojciech Batko ◽  
...  
Keyword(s):  
Connective Tissue ◽  
Connective Tissue Disease ◽  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Lung Ultrasound ◽  
Imaging Modality ◽  
Connective Tissue Diseases ◽  
High Sensitivity ◽  
Study Group ◽  
A Prospective Study

Objectives: The aim of the study was the assessment of lung ultrasound (LUS) as a screening of pulmonary interstitial involvement secondary to systemic connective tissue diseases. Methods: A prospective study was conducted on the study group comprising 180 patients diagnosed with different systemic connective tissue diseases. Each patient underwent lung ultrasound (LUS), high-resolution chest computed tomography (HRCT), and echocardiography (ECHO). Each imaging examination was blinded and performed by an independent operator. LUS was conducted with convex and linear transducers. Results: The sensitivity and specificity of LUS as compared to HRCT in detecting pulmonary interstitial involvement in the study group were 99.3% and 96.4%, respectively; positive predictive value (PPV) 0.7, negative predictive value (NPV) 3.6. Abnormalities indicating interstitial lung disease (ILD) with fibrosis were most frequently localized bilaterally in the lower fields of the lungs, assessed in the dorsal view. Conclusions: LUS is an efficient imaging modality that can detect pulmonary interstitial involvement in patients with systemic connective tissue disease with a high sensitivity and specificity. Further prospective studies conducted on a larger population are deemed necessary.

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