Accuracy of flow-void diameters on MR images in diagnosing uterine arteriovenous malformations in patients with pregnancy-related diseases

AbstractTo evaluate the “flow void” diameter in patients with pregnancy-related diseases with and without uterine AVMs and assess the diagnostic performance of unenhanced MRI for uterine AVMs. From May 2014 to April 2019, 79 patients with pregnancy-related diseases were included, including 36 with and 43 without uterine AVMs confirmed by DSA. On MRI, the diameter of the most prominent “flow void” (hereinafter referred to as fv-D) was measured and compared between patients with and without uterine AVMs. The diagnostic performance of fv-D was estimated with receiver operating characteristic curves. The “flow void” sign was observed in patients with and without uterine AVMs (P > 0.05). The fv-D was significantly larger in patients with uterine AVMs in the myometrium and parametrium than in patients without uterine AVMs (P < 0.0001). The fv-D achieved a reliable diagnostic performance in the myometrium (sensitivity 80.6%, specificity 60.5%, negative predictive value 78.8%, positive predictive value 63%, AUC 0.727, cut-off: > 1.33 mm) and parametrium (sensitivity 97.2%, specificity 67.4%, negative predictive value 96.7%, positive predictive value 71.4%, AUC 0.881, cut-off > 2.6 mm). On MRI, fv-D could diagnose uterine AVMs. The fv-D had a much higher diagnostic efficiency in the parametrium than in the myometrium. The parametrium fv-D greatly improved the diagnostic sensitivity and provides a more accurate, noninvasive method of investigating possible uterine AVMs.

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Accuracy of Flow-void Diameters on MR Images in Diagnosing Uterine Arteriovenous Malformations in Patients With Pregnancy-related Diseases

10.21203/rs.3.rs-515070/v1 ◽

2021 ◽

Author(s):

Hui-zhu Chen ◽

Fu-min Zhao ◽

Ling-jun Liu ◽

Xiao-hui Dai ◽

Xue-sheng Li ◽

...

Keyword(s):

Receiver Operating Characteristic ◽

Study Design ◽

Arteriovenous Malformations ◽

Diagnostic Performance ◽

Operating Characteristic ◽

Diagnostic Efficiency ◽

Noninvasive Method ◽

Mr Images ◽

Receiver Operating Characteristic Curves ◽

Flow Void

Abstract Objective(s): To evaluate the “flow void” diameter in patients with pregnancy-related diseases with and without uterine AVMs and assess the diagnostic performance of unenhanced MRI for uterine AVMs.Study Design: From May 2014 to April 2019, 79 patients with pregnancy-related diseases were included, including 36 with and 43 without uterine AVMs confirmed by DSA. On MRI, the diameter of the most prominent “flow void” (hereinafter referred to as fv-D) was measured and compared between patients with and without uterine AVMs. The diagnostic performance of fv-D was estimated with receiver operating characteristic curves.Results: The “flow void” sign was observed in patients with and without uterine AVMs (P>0.05). The fv-D was significantly larger in patients with uterine AVMs in the myometrium and parametrium than in patients without uterine AVMs (P<0.0001). The fv-D achieved a reliable diagnostic performance in the myometrium (sensitivity: 80.56%, specificity: 60.27%, AUC: 0.727, cut-off:>1.33 mm) and parametrium (sensitivity: 97.22%, specificity: 67.44%, AUC: 0.881, cut-off:>2.6 mm). Conclusions: On MRI, fv-D could diagnose uterine AVMs. The fv-D had a much higher diagnostic efficiency in the parametrium than in the myometrium. The parametrium fv-D greatly improved the diagnostic sensitivity and provides a more accurate, noninvasive method of investigating possible uterine AVMs.

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Age-Adjusted Endothelial Activation and Stress Index for Coronavirus Disease 2019 at Admission Is a Reliable Predictor for 28-Day Mortality in Hospitalized Patients With Coronavirus Disease 2019

Frontiers in Medicine ◽

10.3389/fmed.2021.736028 ◽

2021 ◽

Vol 8 ◽

Author(s):

Felipe Pérez-García ◽

Rebeca Bailén ◽

Juan Torres-Macho ◽

Amanda Fernández-Rodríguez ◽

Maria Ángeles Jiménez-Sousa ◽

...

Keyword(s):

Positive Predictive Value ◽

Receiver Operating Characteristic ◽

Negative Predictive Value ◽

Predictive Value ◽

Operating Characteristic ◽

Predictive Performance ◽

Endothelial Activation ◽

Stress Index ◽

Reliable Predictor ◽

Receiver Operating

Background: Endothelial Activation and Stress Index (EASIX) predict death in patients undergoing allogeneic hematopoietic stem cell transplantation who develop endothelial complications. Because coronavirus disease 2019 (COVID-19) patients also have coagulopathy and endotheliitis, we aimed to assess whether EASIX predicts death within 28 days in hospitalized COVID-19 patients.Methods: We performed a retrospective study on COVID-19 patients from two different cohorts [derivation (n = 1,200 patients) and validation (n = 1,830 patients)]. The endpoint was death within 28 days. The main factors were EASIX [(lactate dehydrogenase * creatinine)/thrombocytes] and aEASIX-COVID (EASIX * age), which were log2-transformed for analysis.Results: Log2-EASIX and log2-aEASIX-COVID were independently associated with an increased risk of death in both cohorts (p < 0.001). Log2-aEASIX-COVID showed a good predictive performance for 28-day mortality both in the derivation cohort (area under the receiver-operating characteristic = 0.827) and in the validation cohort (area under the receiver-operating characteristic = 0.820), with better predictive performance than log2-EASIX (p < 0.001). For log2 aEASIX-COVID, patients with low/moderate risk (<6) had a 28-day mortality probability of 5.3% [95% confidence interval (95% CI) = 4–6.5%], high (6–7) of 17.2% (95% CI = 14.7–19.6%), and very high (>7) of 47.6% (95% CI = 44.2–50.9%). The cutoff of log2 aEASIX-COVID = 6 showed a positive predictive value of 31.7% and negative predictive value of 94.7%, and log2 aEASIX-COVID = 7 showed a positive predictive value of 47.6% and negative predictive value of 89.8%.Conclusion: Both EASIX and aEASIX-COVID were associated with death within 28 days in hospitalized COVID-19 patients. However, aEASIX-COVID had significantly better predictive performance than EASIX, particularly for discarding death. Thus, aEASIX-COVID could be a reliable predictor of death that could help to manage COVID-19 patients.

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Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease

British Journal of Radiology ◽

10.1259/bjr.20191028 ◽

2020 ◽

Vol 93 (1113) ◽

pp. 20191028 ◽

Cited By ~ 2

Author(s):

Meng Chen ◽

Ximing Wang ◽

Guangyu Hao ◽

Xujie Cheng ◽

Chune Ma ◽

...

Keyword(s):

Coronary Artery Disease ◽

Deep Learning ◽

Coronary Artery ◽

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Diagnostic Performance ◽

Operating Characteristics ◽

Stenosis Detection ◽

Artery Disease

Objective: To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD). Methods: The diagnostic performance of DL technology was evaluated by retrospective analysis of coronary computed tomography angiography in 124 suspected CAD patients, using invasive coronary angiography as reference standard. Lumen diameter stenosis ≥50% was considered obstructive, and the diagnostic performances were evaluated at per-patient, per-vessel and per-segment levels. The diagnostic performances between DL model and reader model were compared by the areas under the receiver operating characteristics curves (AUCs). Results: In patient-based analysis, AUC of 0.78 was obtained by DL model to detect obstructive CAD [sensitivity of 94%, specificity of 63%, positive predictive value of 94%, and negative predictive value of 59%], While AUC by reader model was 0.74 (sensitivity of 97%, specificity of 50%, positive predictive value of 93%, negative predictive value of 73%). In vessel-based analysis, the AUCs of DL model and reader model were 0.87 and 0.89 respectively. In segment-based analysis, the AUCs of 0.84 and 0.89 were obtained by DL model and reader model respectively. It took 0.47 min to analyze all segments per patient by DL model, which is significantly less than reader model (29.65 min) (p < 0.001). Conclusion: The DL technology can accurately and effectively identify obstructive CAD, with less time-consuming, and it could be a reliable diagnostic tool to detect CAD. Advances in knowledge: The DL technology has valuable prospect with the diagnostic ability to detect CAD.

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Clinicoradiological features of intraneural perineuriomas obviate the need for tissue diagnosis

Journal of Neurosurgery ◽

10.3171/2017.5.jns17905 ◽

2018 ◽

Vol 129 (4) ◽

pp. 1034-1040 ◽

Cited By ~ 6

Author(s):

Thomas J. Wilson ◽

B. Matthew Howe ◽

Shelby A. Stewart ◽

Robert J. Spinner ◽

Kimberly K. Amrami

Keyword(s):

Positive Predictive Value ◽

Contrast Enhancement ◽

Negative Predictive Value ◽

Diagnostic Criteria ◽

Predictive Value ◽

High Specificity ◽

Mr Images ◽

Cancer History ◽

Tissue Diagnosis ◽

Intraneural Perineurioma

OBJECTIVEThis study aimed to define a set of clinicoradiological parameters with a high specificity for the diagnosis of intraneural perineurioma, obviating the need for operative tissue diagnosis.METHODSThe authors retrospectively reviewed MR images obtained in a large cohort of patients who underwent targeted fascicular biopsy and included only those patients for whom the biopsy yielded a diagnosis. Clinical and radiological findings were then tested for their ability to predict a tissue diagnosis of intraneural perineurioma. The authors propose a new set of diagnostic criteria, referred to as the Perineurioma Diagnostic Criteria. The sensitivity, specificity, positive predictive value, and negative predictive value of several clinicoradiological methods of diagnosis were compared.RESULTSA total of 195 patients who underwent targeted fascicular biopsy were included in the cohort, of whom 51 had a tissue diagnosis of intraneural perineurioma. When the clinicoradiological methods used in this study were compared, the highest sensitivity (0.86), negative predictive value (0.95), and F1 score (0.88) were observed for the decision trees generated in C5.0 and rPart, whereas the highest specificity (1.0) and positive predictive value (1.0) were observed for the Perineurioma Diagnostic Criteria.CONCLUSIONSThis study identified clinical and radiological features that are associated with a diagnosis of perineurioma. The Perineurioma Diagnostic Criteria were determined to be the following: 1) no cancer history, 2) unifocal disease, 3) moderate to severe hyperintensity on T2-weighted MR images, 4) moderate to severe contrast enhancement, 5) homogeneous contrast enhancement, 6) fusiform shape, 7) enlargement of the involved nerves, and 8) age ≤ 40 years. Use of the Perineurioma Diagnostic Criteria obviates the need for tissue diagnosis when all of the criteria are satisfied.

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CT Scan in the Prediction of Lymph Node Involvement in Ovarian Cancer – a Retrospective Analysis of a Tertiary Gyneco-Oncological Unit

Geburtshilfe und Frauenheilkunde ◽

10.1055/a-1079-5158 ◽

2020 ◽

Vol 80 (05) ◽

pp. 518-525 ◽

Cited By ~ 2

Author(s):

Peter Widschwendter ◽

Alexandra Blersch ◽

Thomas W. P. Friedl ◽

Wolfgang Janni ◽

Christopher Kloth ◽

...

Keyword(s):

Ovarian Cancer ◽

Lymph Node ◽

Positive Predictive Value ◽

Lymph Nodes ◽

Negative Predictive Value ◽

Computer Tomography ◽

Predictive Value ◽

Diagnostic Performance ◽

Lymph Node Involvement ◽

Lymph Node Status

Abstract Background The prognostic value of lymph node removal in ovarian cancer varies depending on the tumor stage. While in the advanced stage the removal of clinically normal lymph nodes does not improve the prognosis, this is still unclear in the early stages. Evaluation of the lymph nodes based on preoperative imaging influences the surgical procedure. Methods This retrospective analysis was performed by analyzing data from 114 patients with ovarian cancer, treated in our university hospital in the years 2000 – 2012. Diagnostic performance of imaging by computer tomography with respect to the correct prediction of lymph node status was analyzed in terms of sensitivity, specificity, positive predictive value and negative predictive value. Results Imaging by computer tomography showed a rather limited diagnostic performance with regard to the detection of lymph node metastases in ovarian cancer, with a sensitivity of 40.7%, a specificity of 89.1%, a positive predictive value of 80.0%, and a negative predictive value of 58.3%. A separate analysis for pelvic and paraaortic lymph node involvement showed a better diagnostic performance of computer tomography for the detection of positive paraaortic lymph nodes (41.2, 93.1, 84.0, and 64.3% for sensitivity, specificity, positive predictive value and negative predictive value, respectively) as compared to the detection of positive pelvic lymph nodes (25.6, 91.8, 62.5, and 69.8%). Conclusion The preoperative prediction of lymph node status by computer tomography is limited. A decision for or against lymphadenectomy should not be made solely on the basis of this approach.

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Qualitative analysis of contrast-enhanced ultrasound in the diagnosis of small, TR3–5 benign and malignant thyroid nodules measuring ≤1 cm

British Journal of Radiology ◽

10.1259/bjr.20190923 ◽

2020 ◽

Vol 93 (1111) ◽

pp. 20190923

Author(s):

Xin Li ◽

Feng Gao ◽

Fan Li ◽

Xiao-xia Han ◽

Si-hui Shao ◽

...

Keyword(s):

Positive Predictive Value ◽

Qualitative Analysis ◽

Negative Predictive Value ◽

Predictive Value ◽

Diagnostic Performance ◽

Thyroid Nodules ◽

Area Under The Curve ◽

Contrast Enhanced Ultrasound ◽

Contrast Enhanced ◽

Sensitivity Specificity

Objective: To evaluate the performance of contrast-enhanced ultrasound in the diagnosis of small, solid, TR3–5 benign and malignant thyroid nodules (≤1 cm). Methods: From January 2016 to March 2018, 185 thyroid nodules from 154 patients who underwent contrast enhanced ultrasound (CEUS) and fine-needle aspiration or thyroidectomy in Shanghai General Hospital were included. The χ2 test was used to compare the CEUS characteristics of benign and malignant thyroid nodules, and the CEUS features of malignant nodules assigned scores. The total score of the CEUS features and the scores of the above nodules were evaluated according to the latest 2017 version of the Thyroid Imaging Reporting and Data System (TI-RADS). The diagnostic performance of the two were compared based on the receiver operating characteristic curves generated for benign and malignant thyroid nodules. Results: The degree, enhancement patterns, boundary, shape, and homogeneity of enhancement in thyroid small solid nodules were significantly different (p＜0.05). No significant differences were seen between benign and malignant thyroid nodules regarding completeness of enhancement and size of enhanced lesions (p＞0.05). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the TI-RADS classification TR5 in diagnosis of malignant nodules were 90.10%, 55.95%, 74.59%, 72.22%, and 82.46%, respectively (area under the curve [AUC]=0.738; 95% confidence interval[CI], 0.663–0.813). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the total score of CEUS qualitative analysis indicators were 86.13%, 89.29%, 87.57%, 90.63%, and 84.27% respectively (AUC = 0.916; 95% CI, 0.871–0.961). Conclusion: CEUS qualitative analysis is superior to TI-RADS in evaluating the diagnostic performance of small, solid thyroid nodules. Qualitative analysis of CEUS has a significantly higher specificity for diagnosis of malignant thyroid nodules than TI-RADS. Advances in knowledge: The 2017 version of TI-RADS has recently suggested the malignant stratification of thyroid nodules by ultrasound. In this paper we applied this system and CEUS to evaluate 185 nodules and compare the results with pathological findings to access the diagnostic performance.

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Evaluation of a Novel Plasma (1,3)-β-d-Glucan Detection Assay for Diagnosis of Candidemia in Pediatric Patients

Journal of Clinical Microbiology ◽

10.1128/jcm.00673-15 ◽

2015 ◽

Vol 53 (9) ◽

pp. 3017-3020 ◽

Cited By ~ 13

Author(s):

Ying Liu ◽

Feng Chen ◽

Xiaodong Zhu ◽

Lisong Shen ◽

Sean X. Zhang

Keyword(s):

Positive Predictive Value ◽

Receiver Operating Characteristic ◽

Negative Predictive Value ◽

Predictive Value ◽

Operating Characteristic ◽

Pediatric Patients ◽

Receiver Operating Characteristic Analysis ◽

Area Under The Curve ◽

Characteristic Analysis ◽

Detection Assay

We evaluated a novel plasma (1,3)-β-d-glucan (BDG) detection assay for the diagnosis of candidemia in children. The median BDG levels were 73.4 pg/ml in patients with candidemia and <10 pg/ml in patients without candidemia (P< 0.001). Receiver operating characteristic analysis revealed a cutoff point of 14 pg/ml and an area under the curve of 0.802. At these values, the assay demonstrated 68% sensitivity, 91% specificity, 66% positive predictive value, and 91% negative predictive value. Plasma BDG levels were undetectable in 18 candidemia cases.

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Early diagnosis of myocardial infarction in patients presenting late after chest pain onset

European Heart Journal ◽

10.1093/ehjci/ehaa946.1706 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

J Boeddinghaus ◽

T Nestelberger ◽

P Lopez-Ayala ◽

P.D Ratmann ◽

D Wussler ◽

...

Keyword(s):

Myocardial Infarction ◽

Chest Pain ◽

Positive Predictive Value ◽

Negative Predictive Value ◽

Predictive Value ◽

Diagnostic Performance ◽

Funding Source ◽

Late Presenters ◽

Coronary Syndrome ◽

Rule Out

Abstract Background The European Society of Cardiology (ESC) recommends the clinical use of the 0/1h-algorithms in patients with suspected acute coronary syndrome (ACS) to rule-out or rule-in non-ST elevation myocardial infarction (NSTEMI). However, the diagnostic performance of the ESC 0/1h-algorithms was only validated in patients presenting within 12 hours after chest pain onset (=early presenters) to the emergency department (ED). To this date, evidence regarding their performance in patients with chest pain onset >12h (=late presenters) is lacking. Purpose To evaluate the diagnostic performance of the ESC 0/1h-algorithms in late presenters. Methods We prospectively enrolled patients presenting to the ED with symptoms suggestive of ACS such as acute chest discomfort. Two independent cardiologists adjudicated the final diagnoses based on all available clinical information including serial hs-cTn concentrations, follow-up information and cardiac imaging. Hs-cTnT/I concentrations at 0h and 1h were measured in a blinded fashion. The primary diagnostic endpoint was the diagnostic performance of the hs-cTnT/I ESC 0/1h-algorithms in patients presenting late after chest pain onset compared to those presenting early. Diagnostic performance was quantified by safety of rule-out (sensitivity and negative predictive value), accuracy of rule-in (specificity and positive predictive value), and efficacy (proportion of patients) classified as rule-out or rule-in within 1 hour after presentation to the ED. The primary prognostic endpoint was all-cause mortality after 30-days and two-years in patients in whom NSTEMI was ruled-out by the ESC 0/1h-algorithms. Results Among 4733 patients, 308/4733 (7%) presented late to the ED. The ESC hs-cTnT 0/1h-algorithm ruled-out 185/308 (60%) of late presenters with a sensitivity of 100% (95% CI, 93.7–100) and a negative predictive value (NPV) of 100% (95% CI, 98.0–100). Sixty-one of 308 (20%) were ruled-in with a specificity of 95.2 (95% CI, 91.8–97.2) and a positive predictive value (PPV) of 80.3% (95% CI, 68.7–88.4). The remaining 62/308 (20%) were classified as observe with a NSTEMI prevalence of 13%. In comparison, 59% of early presenters were ruled-out (sensitivity 99.3% [95% CI, 98.4–99.7]; NPV 99.8 [99.5–99.9]), 17% were ruled-in (specificity 96.2 [95% CI, 95.5–96.8]; PPV 81.4 [95% CI, 78.4–84.0]), and 45% were classified as observe. Late presenters in whom NSTEMI was ruled-out had 30-day and two-year survival rates of 100% and 98.2%, respectively. Similar findings were made for the ESC hs-cTnI 0/1h-algorithm. Conclusion The ESC hs-cTnT/I algorithms also provide excellent diagnostic performance for early triage and specifically safe rule-out of NSTEMI in patients presenting late after chest pain onset to the ED. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Swiss Heart Foundation, Swiss National Science Foundation

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Elastography in Distinguishing Benign from Malignant Thyroid Nodules

Journal of Clinical Imaging Science ◽

10.4103/2156-7514.197074 ◽

2016 ◽

Vol 6 ◽

pp. 51 ◽

Cited By ~ 5

Author(s):

Bulent Colakoglu ◽

Duzgun Yildirim ◽

Deniz Alis ◽

Gokhan Ucar ◽

Cesur Samanci ◽

...

Keyword(s):

Positive Predictive Value ◽

Receiver Operating Characteristic ◽

Predictive Value ◽

Operating Characteristic ◽

Thyroid Nodules ◽

Receiver Operating Characteristic Analysis ◽

Noninvasive Method ◽

Characteristic Analysis ◽

Strain Elastography ◽

Sensitivity Specificity

Aim: The aim of this study is to test the diagnostic success of strain elastography in distinguishing benign from malignant thyroid nodules. Materials and Methods: The size, echogenicity, and halo integrity of 293 thyroid nodules and the presence of microcalcification in these nodules were evaluated on gray-scale examination. Doppler characteristics and elastography patterns were also evaluated and recorded. Nodules were classified in four categories (patterns 1–4) based on elastographic examination. Results: According to the cytopathological findings, 222 nodules were benign, and 71 nodules were malignant. The risk of a nodule to be malignant was 3.8 times increased by hypoechogenicity, 7.7 times increased by the presence of microcalcification, and 11.5 times increased by the absence of halo. On Doppler patterns, the presence of central vascularity increased the malignancy risk of a nodule by 5.8 times. According to the receiver operating characteristic analysis, patterns 3 and 4 were malignant, and patterns 1 and 2 were benign. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of elastography were 100%, 80.2%, 61.7%, 100%, and 85%, respectively. Conclusion: Strain elastography can be used as a noninvasive method in distinguishing benign from malignant thyroid nodules and in identifying the patients who would undergo surgery.

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Feasibility of MRI for the evaluation of interosseous ligament vertical segment via subtalar arthroscopy correlation: comparison of 2D and 3D MR images

BMC Musculoskeletal Disorders ◽

10.1186/s12891-021-04759-8 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Hong-Geun Jung ◽

Sung Gyu Moon ◽

Deuk Young Yoon ◽

Hyemin Jang ◽

Ji Hee Kang

Keyword(s):

Positive Predictive Value ◽

Diagnostic Accuracy ◽

Predictive Value ◽

Diagnostic Performance ◽

Vertical Segment ◽

3D Mri ◽

Mr Images ◽

Interosseous Ligament ◽

3D Sequences ◽

2D And 3D

Abstract Background Interosseous ligament vertical segment (IOLV) and calcaneofibular ligament (CFL) have been reported to be important in stabilizing the subtalar joint. Unlike CFL, there is not much information regarding the comparison of MRI results with surgical evaluation of IOLV and the comparison between 2D and 3D MRI on IOLV evaluation. The feasibility of MRI in IOLV evaluation has yet to be reported. The purpose of this study was to evaluate the validity and reliability of MRI in IOLV tear detection via correlation with arthroscopic results. We also compared the diagnostic performance of 2D and 3D MR images. Methods In this retrospective study, 52 patients who underwent subtalar arthroscopy after ankle MRI were enrolled. Arthroscopic results confirmed IOLV tear in 25 cases and intact IOLV in 27 cases. Two radiologists independently evaluated the IOLV tears using only conventional 2D images, followed by isotropic 3D images, and comparison with arthroscopic results. Results Only the 2D sequences interpreted by two readers showed a sensitivity of 64.0–96.0%, a specificity of 29.6–44.4%, a positive predictive value of 51.6–56.4%, and a negative predictive value of 57.1–88.9%. Addition of isotropic 3D sequences changed the sensitivity to 60.0–80.0%, specificity to 63.0–77.8%, positive predictive value to 64.3–76.9%, and negative predictive value to 66.7–80.8%. The overall diagnostic performance of isotropic 3D sequences (AUC values: 0.679–0.816) was higher than that of 2D sequences (AUC values: 0.568–0.647). Inter-observer and intra-observer agreement between the two readers was moderate-to-good for both 2D and 3D sequences. The diagnostic accuracy in 19 patients with tarsal sinus fat obliteration tended to increase from 26.3–42.1% to 57.9–73.7% with isotropic 3D sequences compared with 2D sequences. Conclusions Isotropic 3D MRI was feasible for the assessment of IOLV tear prior to subtalar arthroscopy. Additional 3D sequences showed higher diagnostic accuracy compared with conventional 2D sequences in IOLV evaluation. Isotropic 3D sequences may be more valuable in detecting IOLV tear in case of tarsal sinus fat obliteration.

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