Radiographically negative stress-related bone injury

1998 ◽  
Vol 39 (4) ◽  
pp. 416-420 ◽  
Author(s):  
J. Hodler ◽  
H. Steinert ◽  
M. Zanetti ◽  
U. Frölicher ◽  
J. Rogala ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Bone Scintigraphy ◽  
Imaging Modality ◽  
Diagnostic Value ◽  
Bone Diseases ◽  
Two Phase ◽  
Predictive Values ◽  
Bone Injury ◽  
Initial Imaging ◽  
Sensitivity Specificity

Purpose: To assess the diagnostic value of MR imaging relative to two-phase bone scintigraphy in radiographically negative stress-related injuries. Material and Methods: Sixteen consecutive patients presenting with stressrelated bone injuries and normal standard radiographs were examined with two-phase bone scans and MR imaging. MR imaging protocols varied according to the region to be examined. The MR and scintigraphic images were evaluated blindly and separately by respectively two radiologists and two nuclear medicine physicians. The standard of reference was represented by a combination of clinical and scintigraphic findings as well as clinical follow-up. Results: For MR imaging, sensitivity, specificity, and positive and negative predictive values for the presence of stress-related injuries for the two readers were 69/63%, 100/80%, 100/91%, and 50/40%, respectively. Interobserver agreement was good (kappa=0.62). For scintigraphy, all abnormal and normal findings were correctly identified. Conclusion: For patients with clinically suspected stress-related injuries and a low probability of other active bone diseases (such as infection or neoplasm), bone scintigraphy should be the initial imaging modality.

scholarly journals Inter-observer agreement on the evaluation of automated breast volume scanner for breast masses

2022 ◽  
pp. 1-11
Author(s):  
Yingchun Liu ◽  
Lin Chen ◽  
Jia Zhan ◽  
Xuehong Diao ◽  
Yun Pang ◽  
...  
Keyword(s):  
Imaging Modality ◽  
Observer Agreement ◽  
Breast Volume ◽  
Imaging Data ◽  
Predictive Values ◽  
Breast Masses ◽  
Cutoff Value ◽  
Automated Breast Volume Scanner ◽  
The Masses ◽  
Sensitivity Specificity

Objective: To explore inter-observer agreement on the evaluation of automated breast volume scanner (ABVS) for breast masses. Methods: A total of 846 breast masses in 630 patients underwent ABVS examinations. The imaging data were independently interpreted by senior and junior radiologists regarding the mass size ([Formula: see text][Formula: see text]cm, [Formula: see text][Formula: see text]cm and total). We assessed inter-observer agreement of BI-RADS lexicons, unique descriptors of ABVS coronal planes. Using BI-RADS 3 or 4a as a cutoff value, the diagnostic performances for 331 masses with pathological results in 253 patients were assessed. Results: The overall agreements were substantial for BI-RADS lexicons ([Formula: see text]–0.779) and the characteristics on the coronal plane of ABVS ([Formula: see text]), except for associated features ([Formula: see text]). However, the overall agreement was moderate for orientation ([Formula: see text]) for the masses [Formula: see text][Formula: see text]cm. The agreements were substantial to be perfect for categories 2, 3, 4, 5 and overall ([Formula: see text]–0.918). However, the agreements were moderate to substantial for categories 4a ([Formula: see text]), 4b ([Formula: see text]), and 4c ([Formula: see text]), except for category 4b of the masses [Formula: see text][Formula: see text]cm ([Formula: see text]). Moreover, for radiologists 1 and 2, there were no significant differences in sensitivity, specificity, accuracy, positive and negative predictive values with BI-RADS 3 or 4a as a cutoff value ([Formula: see text] for all). Conclusion: ABVS is a reliable imaging modality for the assessment of breast masses with good inter-observer agreement.

scholarly journals Imaging in Inflammatory Bowel Diseases - Magnetic Resonance Imaging

2015 ◽  
Vol 33 (Suppl. 1) ◽  
pp. 26-31
Author(s):  
Hans Herfarth ◽  
Andreas G. Schreyer
Keyword(s):  
Inflammatory Bowel Diseases ◽  
Intestinal Inflammation ◽  
Imaging Modality ◽  
Imaging Techniques ◽  
Magnetization Transfer ◽  
Diagnostic Value ◽  
Bowel Diseases ◽  
Inflammatory Bowel ◽  
Line Imaging ◽  
Sensitivity Specificity

Diagnostic imaging techniques play an important role in the diagnosis and management of patients with inflammatory bowel diseases (IBDs). The approach should be guided by considerations of diagnostic accuracy, concerns about patient exposure to ionizing radiation, local expertise and tolerance of the endoscopic and/or imaging technique. In regard to the clinical diagnostic value (sensitivity, specificity and accuracy), no significant differences exist between CT and MRI for the evaluation of the extent of inflammation, stricturing, penetrating disease or extraluminal complications such as abscesses. Due to the absence of radiation exposure, MRI of the intestine is recommended as the first-line imaging modality in patients with suspected or established IBD. The focus of this review is the latest developments in MRI techniques to detect IBDs. Specifically, the use of new indices for the grading of inflammation or assessing bowel damage as well as innovative experimental approaches such as diffusion-weighted imaging or magnetization-transfer MRI to evaluate and quantify the degree of intestinal inflammation and fibrosis in stricturing Crohn's disease are discussed.

scholarly journals Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Tao Huang ◽  
Jian Liu ◽  
Yupeng Ma ◽  
Dongsheng Zhou ◽  
Liang Chen ◽  
...  
Keyword(s):  
Rotator Cuff ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Mr Arthrography ◽  
Diagnostic Value ◽  
Rotator Cuff Tears ◽  
Cochrane Library ◽  
Predictive Values ◽  
Partial Thickness ◽  
Sensitivity Specificity

Abstract Background Numerous quantitatively studies have focused on the diagnosis of bursal-sided partial-thickness rotator cuff tears (RCTs); however, the accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) remains inconclusive. This study was performed systematically to compare the diagnostic value of MRA and MRI for the bursal-sided partial-thickness RCTs. Methods Three electronic databases, PubMed, Embase, and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting bursal-sided partial-thickness RCTs. After screening and diluting out the articles that met the inclusion criteria to be used for statistical analysis, the pooled evaluation indexes include sensitivity, specificity, positive and negative predictive values, diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC). Results Twelve studies involving 1740 patients and 1741 shoulders were identified. The pooled sensitivity, specificity, DOR, and AUC of MRA to diagnose bursal-sided partial-thickness RCTs were 0.77 (95% CI, 0.67–0.85), 0.98 (95% CI, 0.95–0.99), 73.01 (95% CI, 35.01–152.26), and 0.88 (95% CI, 0.85–0.91), respectively. The pooled sensitivity, specificity, DOR, and AUC of MRI were 0.77 (95% CI, 0.66–0.86) and 0.96 (95% CI, 0.81–0.99), and 37.12 (95% CI, 8.08–170.64) and 0.82 (95% CI, 0.78–0.85), respectively. Conclusions This meta-analysis reveals that MRA and MRI have similar diagnostic value for the diagnosis of bursal-sided partial-thickness rotator cuff tears.

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 Value of Rapid Biophysical Profile in Comparison to Biophysical Profile in Pregnant Women with Insulin-dependent Diabetes

2020 ◽  
Author(s):  
Nasrin Soufizadeh ◽  
Fariba Farhadifar ◽  
Saghar Tamri ◽  
Sara Behafarid ◽  
Karim Sharifi ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Gestational Age ◽  
Roc Curve ◽  
Diagnostic Value ◽  
Insulin Dependent Diabetes ◽  
Care Process ◽  
Predictive Values ◽  
Biophysical Profile ◽  
Insulin Dependent ◽  
Sensitivity Specificity

Objective: Having a rapid and low cost diagnostic approach in assessment of fetal wellbeing is an important goal for prenatal care process. The aim of this study was to determine the diagnostic value of rapid biophysical profile (rBPP) in comparison to biophysical profile (BPP). Materials and methods: In this study 142 pregnant women with insulin-dependent diabetes referred to Besat Hospital (Sanandaj, Iran) were evaluated in terms of fetal health. Age, gestational age and non-stress test (NST) data of patients were collected. The fetuses were evaluated using the standard BPP and selected rBPP methods. Sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV) were calculated. The receiver operating characteristic (ROC) curve was plotted. The data were analyzed in Stata 14 software, using appropriate statistical analyses. Results: The mean ± standard deviation (SD) of maternal age and gestational age of the studied subjects were 30.6 ± 6.3 and 35.6 ± 1.5 weeks, respectively. The frequency of normal cases were 126 (88.7%) in the BPP method and 121 (85.2%) in the rBPP method. The results showed that sensitivity, specificity, PPV and NPV of rBPP in this study were 56.2%, 90.5%, 42.8% and 94.2%, respectively. The area under the ROC curve was 73.3%. Pearson Test showed a significant correlation between scores obtained through BPP and rBPP methods (p < 0.001). Conclusion: Considering the high profile of the sensitivity and PPV of the RBPP method compared to BPP, rBPP method has a better capacity to discriminate non-distressed fetuses from distress-exposed fetuses. It can also be used as a quick and easy method in crowded centers with limited evaluation tests, where not much skill is needed.

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.

Usefulness of Grey Scale and Doppler transvaginal sonography in diagnosis of ovarian torsion

2020 ◽  
Vol 14 (2) ◽  
pp. 97-102
Author(s):  
Khalid Rehman `Yousaf ◽  
Shahzad Saeed ◽  
Saman Chaudhry ◽  
Rabia Bashrat ◽  
Abadullah Khalid ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Ovarian Function ◽  
Imaging Modality ◽  
Ovarian Torsion ◽  
Transvaginal Sonography ◽  
Predictive Values ◽  
Grey Scale ◽  
Sensitivity Specificity

Background: Ovarian torsion diagnosis is a great challenge as delay in diagnosis can cause severe morbidity. Early accurate diagnosis is crucial to preserve ovarian function. Ultrasonography being the primary imaging modality plays a vital role in the evaluation of suspected ovarian torsion by helping surgeons reach the correct diagnosis, thus avoiding unnecessary intervention. This study aims to determine the diagnostic accuracy of isolated and combined sonographic features of ovarian torsion on grey scale and Doppler transvaginal ultrasonography. Patients and methods: From radiology database, from January 2016 till December 2019, sonographic signs of ovarian torsion in 113 women with suspected ovarian torsion on ultrasonography and subsequent surgical diagnosis were evaluated. Ultrasound findings were compared with surgical findings to determine the accuracy, sensitivity, specificity, and positive and negative predictive values of individual and combined ultrasound signs. Results: Diagnostic accuracy of ultrasound for ovarian torsion was 85.8%. Abnormal ovarian Doppler flow was the most accurate individual sonographic sign with accuracy, sensitivity, specificity and positive predictive value of 85.8%, 83.5%, 100% and 100% respectively followed by ovarian enlargement and ovarian edema. Combined ultrasound signs resulted in higher sensitivity and positive predictive values, and lower specificity and negative predictive values for ovarian torsion. Increasing the number of sonographic parameters increased the specificity but decreased sensitivity. High accuracy, sensitivity, positive predictive value, specificity and negative predictive value was seen when combination of three or two sonographic parameters was used as diagnostic criteria. Conclusion: Transvaginal sonography is a convenient, reliable and extremely useful imaging modality for preoperative diagnosis of ovarian torsion with high specificity, sensitivity, positive predictive value and diagnostic accuracy helping treating physicians to take prompt decisions regarding timely surgical intervention. However, due to low negative predictive values, absence of sonographic signs does not rule out ovarian torsion and high index of clinical suspicion remains of utmost importance.

Assessment of the diagnostic value of microsatellite instability in the urine of bladder cancer patients.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 384-384
Author(s):  
Hussein Mustafa Khaled ◽  
Abdel-Rahman Zekri ◽  
Mai B Mohamed ◽  
Fatma M Diab ◽  
Mona Abdellateif ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Microsatellite Instability ◽  
Tumor Tissue ◽  
High Sensitivity ◽  
Diagnostic Value ◽  
Urine Samples ◽  
Tissue Samples ◽  
Predictive Values ◽  
Promising Tool ◽  
Sensitivity Specificity

384 Background: Microsatellite alterations in urine sediments have proved to be a promising tool for detection of bladder cancer (BC) due to its high sensitivity and specificity. Methods: We assessed the possible prognostic and predictive values of microsatellite alterations in tissue samples and urine sediments obtained from Egyptian patients with BC, and their utility as diagnostic, prognostic and predictive value. Microsatellite instability (MSI) and loss of heterozygosity (LOH) were assessed using 13 microsatellite markers in tumor tissue and urine sediments of 30 patients with BC. The concordance between MSI in tissue and urine samples was determined. Results: We found that MSI was more frequent than LOH (100% and 46.7%; respectively). D16S310, MBP and IFN-α showed the highest MSI frequency in urine samples (70%, 70% and 66.67%; respectively), while MBP, ACTBP2 and D9S171 (66.67%, 63.33%, and 60%; respectively) were the most frequently detected in tumor tissue. All markers correlated significantly with the pathological subtypes (more frequent in TCC) and hematuria. The concordance between tissue and urine was statistically significant for , D9S171, D16S476, FGA and ACTBP2 (P = 0.04, 0.015, 0.02 and 0.007; respectively). When we combined D16S476 and D9S171, the sensitivity, specificity, PPV and NPV reached (80.0%, 75.0%, 82.8% and 71.4%; respectively) for diagnosis of BC . Conclusions: Thus MSI in urine sediments could be a sensitive and reliable method for diagnosis of BC.

scholarly journals PP13 and PAPP-A in the First and Second Trimesters: Predictive Factors for Preeclampsia?

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Narges Moslemi Zadeh ◽  
Farshad Naghshvar ◽  
Sepideh Peyvandi ◽  
Parand Gheshlaghi ◽  
Sara Ehetshami
Keyword(s):  
Early Diagnosis ◽  
Predictive Factors ◽  
Statistical Tests ◽  
Protein A ◽  
Serum Levels ◽  
Diagnostic Value ◽  
Control Group ◽  
Case Group ◽  
Predictive Values ◽  
Sensitivity Specificity

Background. Preeclampsia affects 5-6% of all pregnancies. Predictive factors of preeclampsia can be helpful in early diagnosis of this disease. In this study the predictive values of biochemical markers placenta protein 13 (PP13) and pregnancy-associated plasma protein A (PAPP-A) have been assessed in early diagnosis of preeclampsia. Methods. This case-control study was conducted on 1500 women who presented to a healthcare center of Sari, Iran, between 2010 and 2011. Blood samples were drawn in weeks 11–13 and 24–28 of pregnancy. Of them who developed preeclampsia were considered as case group. A control group consisted of similar women regarding mean age, body mass index (BMI), and pregnancy age. PAPP-A and PP13 serum levels were measured. Data were analyzed using proper statistical tests. Results. PAPP-A and PP13 serum levels were significantly lower in both the first and second trimesters in women who developed preeclampsia (P<0.001). The cumulative value of all four variables with cut-off point of 238.5 has sensitivity, specificity of 91.0%, and undercurve surface of 0.968 which is the most diagnostic value for preeclampsia. Conclusion. It is possible to advantage measuring of PAPP-A and PP13 in the first and second trimesters especially their cumulative values in both trimesters for prediction of the incidence of preeclampsia.

scholarly journals The Diagnostic Value of Serum Gastrin-17 and Pepsinogen for Gastric Cancer Screening in Eastern China

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hongzhang Shen ◽  
Kangwei Xiong ◽  
Xiangyu Wu ◽  
Sile Cheng ◽  
Qifeng Lou ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Eastern China ◽  
Intraepithelial Neoplasia ◽  
Diagnostic Value ◽  
Diagnostic Efficiency ◽  
Predictive Values ◽  
Cutoff Value ◽  
Cutoff Values ◽  
Significant Difference ◽  
Sensitivity Specificity

Objective. To evaluate the diagnostic value of gastrin-17 (G-17) and pepsinogen (PG) in gastric cancer (GC) screening in China, especially eastern China, and to determine the best diagnostic combination and threshold (cutoff values) to screen out patients who need gastroscopy. Methods. The serum concentrations of G-17 and pepsinogen I and II (PGI and PGII) in 834 patients were analyzed, and the PGI/PGII ratio (PGR) was calculated. According to pathological results, patients can be divided into chronic nonatrophic gastritis (NAG)/chronic atrophic gastritis (CAG)/intraepithelial neoplasia (IN)/GC groups. The differences in G-17, PG, and PGR in each group were analyzed, and their values in GC diagnosis were evaluated separately and in combination. Results. There were differences in serum G-17, PGII, and PGR among the four groups (NAG/CAG/IN/GC) ( P ≤ 0.001 ). In total, 54 GC cases were diagnosed, of which 50% were early GC. There was no significant difference in the PGI levels among the four groups ( P = 0.377 ). NAG and CAG composed the chronic gastritis (CG) group. The G-17 and PGII levels in the IN and GC groups were higher than those in the CG group (both P ≤ oth   C ), while the PGR levels were lower ( P ≤ lower ). When distinguishing NAG from CAG, the best cutoff value for G-17 was 9.25 pmol/L, PGII was 7.06 μg/L, and PGR was 12.07. When distinguishing CG from IN, the best cutoff value for G-17 was 3.86 pmol/L, PGII was 11.92 μg/L, and PGR was 8.26. When distinguishing CG from GC, the best cutoff value for G-17 was 3.89 pmol/L, PGII was 9.16 μg/L, and PGR was 14.14. The sensitivity, specificity, accuracy, and positive and negative predictive values of G-17/PGII/PGR for GC diagnosis were 83.3%/70.4%/79.6%, 51.8%/56.3%/47.8%, 53.8%/57.2%/49.9%, 10.7%/10.9%/9.6%, and 97.8%/96.5%/97.1%, respectively. The sensitivity, specificity, accuracy, and positive predictive and negative predictive values of PGII/G-17 vs. PGR/G-17 vs. PGR/PGII in the diagnosis of GC were 63.0% vs. 70.4% vs. 64.8%, 70.5% vs. 70.1% vs. 60.4%, 70.0% vs. 70.1% vs. 60.7%, 12.9% vs. 14.0% vs. 10.2%, and 96.5% vs. 97.2% vs. 96.1%, respectively. Conclusion. The PGII and G-17 levels in patients with gastric IN and GC were significantly increased, while the serum PGR level was significantly decreased. Serological detection is effective for screening GC. The combination of different markers can improve the diagnostic efficiency. The highest diagnostic accuracy was G-17 combined with PGR, and the best cutoff values were G − 17 > 3.89   pmol / L and PGR < 14.14 .

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