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Showing 10 results for Accuracy
Results of arthroscopic study of 100 cases in Imam Khomeini Hospital
Kaseb Mh, Nadimi B,
Volume 58, Issue 3 (6-2000)
Abstract
The arthroscopic study of knee joint is of outstanding interest in assessment of knee complaints. The present article describes the results of arthroscopic examination of 100 patients (Mean age 29.4 years 82% male) evaluated from 1996 to 1997 in Imam Khomeini hospital of Tehran. Sport injury was the most prevalent cause of referral (40%). The 2 most frequent complaints were knee pain (94%) and tenderness (63%). Arthroscopic findings were pathologic changes of synovial fluid in 8, changes on articular surface of patella in 23, pathologic findings of femoral condyles and changes on articular surface of tibial plate in 24 cases. Other findings included plica in 18, tears of meniscus in 49, complete or partial tears of anterior cruciate ligament in 23 patients. Diagnostic accuracy of pre-arthroscopic clinical diagnosis was 88% and 93% for tears of meniscue and anterior cruciate ligament respectively. Arthroscopy of patellofemoral joint is an important adjunct to clinical and radiographic examination in diagnosis of knee complaints.
Accuracy Of 5 Node Sampling In Evaluating The Axilla In Operable Breast Cancer: A Pilot Study
R Omrani Poor , Ay Taheri , H Mahmood Zadeh , A Arab Kheradmand ,
Volume 63, Issue 1 (5-2005)
Abstract

Background: To evaluate the accuracy of 5node sampling as an alternative to classic axillary dissection in operable breast cancer(stage I and II )     Method and Material: 5 largest nodes of level one were sampled in 26 consecutive patient with breast cancer undergoing modified radical mastectomy and axillary clearance between june 2002 to march 2004.

Result: False negative rate for 5 node sampling was 7.7%, of 14 cases with negative 5 node sampling 2 (7.7%) were found to have disease elsewhere in the axilla.

Conclusion: Sampling of 5 largest nodes accurately (92%) identifies patients with metastatic nodes.


Accuracy assessment of laparoscopic examination of intra-abdominal organs in trauma victims
Peyvandi H, Talebpoor M, Begam Orang Z, Ahmadi Amoli H, Motalebi N, Hallaj Mofrad H.r, Molavi B, Asheri H,
Volume 64, Issue 9 (9-2006)
Abstract
Background: Performing traditional autopsy mostly seems to be unpleasant in dead persons' relatives' opinion. This study aimed to determine the accuracy of laparoscopic examination of intra abdominal organs in comparison to the traditional autopsy in trauma victims.
 Methods: From December 2004 to September 2005, 50 fresh cadavers of blunt trauma victims were studied in less than 24 hours from death time. Intraperitoneal and retroperitoneal organs were first evaluated by laparoscope and then the traditional autopsy was performed as gold standard. The organs were assessed regarding impairment and its grade in both ways. Diagnostic accuracy of laparoscope was determined for each case with 95% confidence interval using Fisher's exact test.
Results: The values of overall and distinct accuracy of laparoscopic examination for intraperitoneal and retroperitoneal organs were significantly comparable with traditional autopsy. The accuracy of laparoscopic evaluation of intraperitoneal and retroperitoneal organs were 90% (95% CI of 81.7% to 94.8%) and 92% (95% CI of 84.7% to 96%) respectively in comparison to open autopsy. The overall accuracy of laparoscopic examination was 84% (95% CI of 74.3% to 90.5%).
Conclusion: The sensitivity and specificity of laparoscopic examination for intraperitoneal but not retroperitoneal organs were acceptable in comparison to open autopsy. Laparoscopic examination seems to be an eligible substitute for the traditional autopsy in assessment of intraperitonel organs.
Accuracy of spiral CT in non-traumatic acute abdominal pain in Sina university hospital
Ahmadi H, Tavakkoli H, Bakhtavar Kh, Khodadadi F, Abbasi A,
Volume 65, Issue 12 (3-2008)
Abstract

Background: Acute abdominal pain is a common complaint in an emergency setting. An immediate and precise diagnosis is necessary for reducing morbidity and mortality. Several studies have reported that CT scan increases diagnostic accuracy for patients with acute abdominal pain. This study was designed to evaluate the sensitivity, specificity and accuracy of spiral CT scan compared to that of abdominal ultrasound and plain radiography. 

Methods: We assessed the data of 91 consecutive patients, including 45 males and 46 females, ranging in age from 8 to 84 years (mean age 52.38 years) presenting to the emergency department of Sina Hospital, Tehran, Iran, with acute non-traumatic abdominal pain during the years 2003-2005. All patients underwent spiral CT scanning in addition, sonography and plain radiography were performed for 66 and 64 of the patients, respectively. The sensitivity, specificity and accuracy were calculated and compared, based on the final diagnosis, which was established with surgical, pathologic, and clinical follow-up. The data was analyzed by SPSS 13.0 software.

Results: Among the 91 patients examined, CT scan was reported to be normal in 15 patients (16.5%). The most common CT findings were aortic aneurysm (12.1%), pancreatitis (9.9%), ovarian cyst (7.7%), intestinal distension (7.7%), and hepatic cyst (7.7%). The overall sensitivity, specificity, and accuracy of unenhanced spiral CT were 92.2%, 92.86%, and 92.3%, respectively, whereas those of plain radiography were 13.2%, 72.7%, and 23.4%, respectively, and ultrasound 73.2%, 90%, and 75.7%, respectively.

Conclusions: This study suggests that plain radiography is an insensitive technique in the evaluation of nontraumatic acute abdominal pain presenting in the emergency department. Unenhanced spiral CT is accurate for adult patients with nontraumatic acute abdominal pain and should be considered as an alternative to radiography as the initial imaging modality.


Ditection of coronary artery disease: accuracy of 64- slice computed tomography versus converntional invasive angiography
Kazemi Khaledi A, Taghizadeh M,
Volume 66, Issue 8 (11-2008)
Abstract

Background: Multislice computed tomography (MSCT) is a noninvasive method of detecting coronary artery disease (CAD). The purpose of the present study was to investigate the accuracy of 64-slice MSCT (64-MSCT) in daily practice, without patient selection.

Methods: Sixty-four consecutive suspected CAD patients underwent both 64-MSCT and quantitative coronary angiography (QCA). The CT system The mean time span between MSCT and QCA was 7.2±3.9 days. For the 64-MSCT, detection or exclusion of CAD, defined as one or more areas of >50% stenosis within major epicardial coronary arteries, the sensitivity, specificity, diagnostic accuracy, positive predictive value (PPV), and negative predictive value (NPV) were evaluated both per patient and per segment.

Results: Sixty-one of the 64 coronary CT angiograms (95%) were of diagnostic image quality. QCA showed significant CAD in 64% (39/61) of the patients, with the other 36% (22/61) showing nonsignificant disease or no disease. Sensitivity, specificity, accuracy, PPV, and NPV of 64-MSCT per patient were 92%, 86%, 90%, 92% and 96%, respectively. By the per-segment analysis, 695 of 791 coronary artery segments were assessable (88%). Of these, 64-MSCT showed a sensitivity of 80%, specificity of 92%, accuracy of 90%, PPV of 65%, and NPV of 96%, respectively, in detecting CAD.

Conclusions: Both per patient and per segment analyses for coronary 64-MSCT showed a higher diagnostic accuracy than QCA. This suggests 64-MSCT should primarily be used for risk stratification on a per patient basis as a noninvasive gate-keeper diagnostic method.


Diagnostic accuracy of general physician versus emergency medicine specialist in interpretation of chest X-ray suspected for iatrogenic pneumothorax: a brief report
Ghane Mohammad-Reza , Saburi Mohammad-Reza , Saburi Amin ,
Volume 69, Issue 12 (3-2012)
Abstract

Background: Pneumothorax is a potential life-threatening condition especially in patients with underlying disorders. In this study we compared the diagnostic accuracy of general practitioners and emergency medicine specialists in interpreting chest x-rays (CXR) suspected of having iatrogenic pneumothorax in emergency departments.

Methods: This cross-sectional study was conducted in Shahid Chamran Hospital in Tehran, Iran during 2008- 2010. The study was designed to compare the ability of general practitioners and emergency medicine specialists in diagnosing iatrogenic pneumothorax regarding 500 CXRs of one-hundred patients admitted for upper central venous catheterization.

Results: General practitioners and emergency medicine specialists could accurately (P<0.001) diagnose pneumothorax in 484 (96.8%) and 497 (99.4%) CXRs, respectively. None of the underlying causes of the condition affected the diagnostic accuracy of both physician groups (P>0.05).

Conclusion: These findings indicate that the diagnostic accuracy of emergency medicine specialists is significantly higher than those of general physicians. The diagnostic accuracy of both physician groups was higher than the values in similar studies that signifies the role of relevant training given in the emergency departments of the Hospital.


Contrastive analysis of diagnostic tests evaluation without gold stand-ard: review article
Fatemeh Masaebi , Farid Zayeri , Malihe Nasiri , Mehdi Azizmohammad Looha ,
Volume 76, Issue 11 (2-2019)
Abstract
Considering the advancement of medical sciences, diagnostic tests have been developed to distinguish patients from healthy population. Therefore, Determining and evaluation of the diagnostic accuracy tests is of great importance. The accuracy of a test under evaluation is determined through the amount of agreement between its results with the results of the gold standard, and this test accuracy can be defined based on sensitivity, specificity, positive predictive value, negative predictive value and the area under the receiver operative characteristic curve (AUC). Gold standard is an accurate and error- free method to determine the presence or absence of disease of interest and classify patients, which is not available in some diseases and situations as this method is costly or invasive. In these cases, reference standard is a best available replacement method to be used by physicians to diagnostic disease. However, in some situation, the acceptable reference standard is invasive or costly and does not exist or unreliable. It can be imperfect and results of the reference standard method are not necessarily error- free and cannot be applied to everyone in the study; all these cases point to the conditions in which the gold standard is not available. The use of reference standard including error causes to incorrect separation of patients from healthy population and thus, it cannot be a comparing measure for other diagnostic tests and its results are inaccurate. Therefore, other alternatives methods are needed for evaluation and determine the diagnostic accuracy tests when the gold standard does not exist. Imputation method, correct imperfect reference standard method, the construct reference standard method, latent class models, differential verification, composite reference standard and discrepant analysis are of these alternative methods. Each of these methods, considering its features, advantages, and limitations can be used to evaluate the accuracy of diagnostic test in the absence of gold standard. The present study gave an overview of methods to evaluation of diagnostic accuracy tests when there is no gold standard and the focus of this study was on explain the concept of these solutions, review and compare them and their strengths and weaknesses.

Comparison of gestational diabetes prediction with artificial neural network and decision tree models
Mansour Rezaei, Negin Fakhri , Fateme Rajati , Soodeh Shahsavari ,
Volume 77, Issue 6 (9-2019)
Abstract
Background: Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnancy, which is associated with serious complications. In the event of early diagnosis of this disease, some of the maternal and fetal complications can be prevented. The aim of this study was to early predict gestational diabetes mellitus by two statistical models including artificial neural network (ANN) and decision tree and also comparing these models in the diagnosis of GDM.
Methods: In this modeling study, among the cases of pregnant women who were monitored by health care centers of Kermanshah City, Iran, from 2010 to 2012, four hundred cases were selected, therefore the information in these cases was analyzed in this study. Demographic information, mother's maternal pregnancy rating, having diabetes at the beginning of pregnancy, fertility parameters and biochemical test results of mothers was collected from their records. Perceptron ANN and decision tree with CART algorithm models were fitted to the data and those performances were compared. According to the accuracy, sensitivity, specificity criteria and surface under the receiver operating characteristic (ROC) curve (AUC), the superior model was introduced.
Results: Following the fitting of an artificial neural network and decision tree models to data set, the following results were obtained. The accuracy, sensitivity, specificity and area under the ROC curve were calculated for both models. All of these values were more in the neural network model than the decision tree model. The accuracy criterion for these models was 0.83, 0.77, the sensitivity 0.62, 0.56 and specificity 0.95, 0.87, respectively. The surface under the ROC curve in ANN model was significantly higher than decision tree (0.79, 0.74, P=0.03).
Conclusion: In predicting and categorizing the presence and absence of gestational diabetes mellitus, the artificial neural network model had a higher accuracy, sensitivity, specificity, and surface under the receiver operating characteristic curve than the decision tree model. It can be concluded that the perceptron artificial neural network model has better predictions and closer to reality than the decision tree model.

Views of users on factors affecting data quality of iranian electronic health record (SEPAS) in Hospitals Affiliated to Mashhad University of Medical Sciences: brief report
Seyed Mojtaba Hashemi Hasani , Khalil Kimiafar, Parviz Marouzi, Seyed Masoud Sadati, Alireza Banaye Yazdipour, Masoumeh Sarbaz,
Volume 78, Issue 5 (8-2020)
Abstract
Background: The Electronic Health Record contains personalized health care information. Several factors affect the quality of SEPAS (Iranian electronic health record) data, disregarding the types of hospital information system set-up in hospitals. The purpose of this study was to investigate users' views on the factors affecting the data quality of Iranian Electronic Health Record (SEPAS) in hospitals affiliated to Mashhad University of Medical Sciences.
Methods: This descriptive cross-sectional study was conducted in 2018. In this study, the views of supervisors of the SEPAS system, HIS chief officers, and head of health information technology departments of hospitals were evaluated through a valid and reliable researcher-made questionnaire. Content validity ratio and content validity index of the questionnaire were validated as 0.82 and 0.94, respectively. Furthermore, the internal questionnaire reliability was affirmed by Cronbach's alpha of 0.96. Data analysis was conducted using descriptive statistics in the SPSS v.16 software.
Results: The most important individual factor of affecting SEPAS data quality was staff training (4.19±0.94 of 5). Moreover, the factor “Personnel awareness of goal, mission, and vision of SEPAS system" had the lowest score (3.86±1.16). Also, the most critical organizational factor was the integration and relation of the HIS with the Civil Status Registration System (4.43±0.72). In examining technical factors, the quality of its support team responsiveness to user demands had the highest score (4.56±0.58). Also, the utilization of new data collection instruments and technologies (barcode, RFID, etc.) had the lowest score (4.22±0.98).
Conclusion: The most efficient solutions to improve quality of SEPAS data seems to be continuous training of staff, enhancing HIS connection with the Civil Status Registration System and improving the responsiveness of SEPAS support team.

Comparing the diagnostic accuracy of bedside ultrasound with wound exploration in diagnosis of nerve and tendon injuries in upper extremities: a brief report
Marzieh Khademi, Maryam Masaeli, Mehdi Azarmnia, Masoud Shahabian, Maziar Karamnejad, Mohammad Reza Azimi Aval , Azadeh Asghari Birbaneh,
Volume 80, Issue 4 (7-2022)
Abstract
Background: Trauma is one of the most common causes of death in all ages. Considering the prevalence of trauma in the general population, and its costs and complications, it is important to use aiding tools to accelerate the diagnosis in order to act in time. The aim of this study was to evaluate the efficacy of ultrasound in diagnosing nerve and tendon injuries in the upper extremities.
Methods: This study is a cross-sectional study, which was carried out at the emergency department of the Besat Hospital, Tehran from march 2018 to march 2019. The statistical population was all patients who had been referred with deep lacerations in upper extremities and had injuries in the superficial or deep compartments (nerves/ tendons). For all the patients who met the inclusion criteria, bedside sonography with 11 Mhz Linear probe was performed by the researcher and under the supervision of the radiologist. The results were compared with the results from local exploration of the wounds. Local exploration of the wounds was also done under the surgeon's supervision. After completing the sample size and data collection, SPSS software, version 22 (IBM SPSS, Armonk, NY, USA) was used for statistical analysis
Results: In this study, from 144 patients with penetrating trauma in the upper extremities, 56 patients were suspected with nerve injuries and 50 patients were suspected with tendon injuries. After evaluation with an ultrasound probe, 21 out of 23 cases suspected of nerve injuries were confirmed by local exploration. Local exploration confirmed that 27 out of 28 cases were suspected of tendon injuries. The accuracy of ultrasound in the assessment of nerve damage was estimated at 99.64% and in tendon damage at 92%, and the sensitivity of ultrasound in the diagnosis of nerve damage was 91.30% and in the diagnosis of tendon damage was 96.42%.
Conclusion: By the results of this research it can be concluded, that ultrasound leads to a faster diagnosis. It provides a wider field of view, can reduce possible secondary injuries and increases the accuracy of the diagnosis.

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