Naser Obeidat, Asma'a Al-Mnayyis, Suhaib Bani Essa, Mohammad Alkhatatba, Heba Al Qudah, Majed M Aljarrah, Yahya Alshgerat, Ammar Al-Tawarh, Raghad Al-Titi, Taqwa Alzuqaili, Waseem Samir
{"title":"肩部超声波评估肩袖肌腱撕裂的早期准确性。","authors":"Naser Obeidat, Asma'a Al-Mnayyis, Suhaib Bani Essa, Mohammad Alkhatatba, Heba Al Qudah, Majed M Aljarrah, Yahya Alshgerat, Ammar Al-Tawarh, Raghad Al-Titi, Taqwa Alzuqaili, Waseem Samir","doi":"10.17392/1702-23","DOIUrl":null,"url":null,"abstract":"<p><p>Aim To compare the accuracy of shoulder ultrasound (US) in diagnosing rotator cuff tendon tears between junior and experienced musculoskeletal (MSK) radiologists. Also, to compare the overall ultrasound accuracy referenced to MRI. Methods A retrospective data collection for patients with clinically suspected rotator cuff tears who underwent ultrasound from June 2021 - June 2023 was conducted. Patients who also performed MRI for the same shoulder were only included in the study. US and MRI images were evaluated by two MSK radiologists with different experience levels. The diagnosis of rotator cuff tears was done on MRI through consensus. Ultrasound accuracy referenced to MRI was calculated for each radiologist. A second consensus was conducted for US images to calculate the overall US accuracy. The percentage of agreement and Cohen's kappa correlation coefficient were calculated before and after the US consensus. Results Forty-one patients were included in the study, 12 (29.3%) males and 29 (70.7%) females, with a mean age of 49.6 years. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and accuracy of US interpreted by junior vs experienced MSK radiologists for supraspinatus full thickness tears (FTTs) were 100% vs 91%, 90% vs 93%, 79% vs 83%, 100% vs 97%, and 93% vs 93%, respectively. After the second consensus, sensitivity, specificity, PPV and NPV, and accuracy were 91%, 90%, 77%, 96%, and 90%, respectively. Conclusion The accuracy of shoulder ultrasound in diagnosing supraspinatus FTTs by junior MSK radiologists compares well to the more experienced ones, but not for partial thickness tears (PTTs).</p>","PeriodicalId":51129,"journal":{"name":"Medicinski Glasnik","volume":"21 1","pages":"190-195"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early career accuracy of shoulder ultrasound in evaluating rotator cuff tendon tears.\",\"authors\":\"Naser Obeidat, Asma'a Al-Mnayyis, Suhaib Bani Essa, Mohammad Alkhatatba, Heba Al Qudah, Majed M Aljarrah, Yahya Alshgerat, Ammar Al-Tawarh, Raghad Al-Titi, Taqwa Alzuqaili, Waseem Samir\",\"doi\":\"10.17392/1702-23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Aim To compare the accuracy of shoulder ultrasound (US) in diagnosing rotator cuff tendon tears between junior and experienced musculoskeletal (MSK) radiologists. Also, to compare the overall ultrasound accuracy referenced to MRI. Methods A retrospective data collection for patients with clinically suspected rotator cuff tears who underwent ultrasound from June 2021 - June 2023 was conducted. Patients who also performed MRI for the same shoulder were only included in the study. US and MRI images were evaluated by two MSK radiologists with different experience levels. The diagnosis of rotator cuff tears was done on MRI through consensus. Ultrasound accuracy referenced to MRI was calculated for each radiologist. A second consensus was conducted for US images to calculate the overall US accuracy. The percentage of agreement and Cohen's kappa correlation coefficient were calculated before and after the US consensus. Results Forty-one patients were included in the study, 12 (29.3%) males and 29 (70.7%) females, with a mean age of 49.6 years. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and accuracy of US interpreted by junior vs experienced MSK radiologists for supraspinatus full thickness tears (FTTs) were 100% vs 91%, 90% vs 93%, 79% vs 83%, 100% vs 97%, and 93% vs 93%, respectively. After the second consensus, sensitivity, specificity, PPV and NPV, and accuracy were 91%, 90%, 77%, 96%, and 90%, respectively. Conclusion The accuracy of shoulder ultrasound in diagnosing supraspinatus FTTs by junior MSK radiologists compares well to the more experienced ones, but not for partial thickness tears (PTTs).</p>\",\"PeriodicalId\":51129,\"journal\":{\"name\":\"Medicinski Glasnik\",\"volume\":\"21 1\",\"pages\":\"190-195\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicinski Glasnik\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17392/1702-23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicinski Glasnik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17392/1702-23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目的 比较初级和经验丰富的肌肉骨骼(MSK)放射医师在诊断肩袖肌腱撕裂时使用肩部超声波(US)的准确性。同时,比较超声波与核磁共振成像的总体准确性。方法 对 2021 年 6 月至 2023 年 6 月期间接受超声检查的临床疑似肩袖撕裂患者进行回顾性数据收集。本研究只包括同时对同一肩部进行核磁共振成像检查的患者。由两名具有不同经验水平的 MSK 放射科医生对超声波和核磁共振成像进行评估。肩袖撕裂的诊断在核磁共振成像上达成共识。每位放射科医生都计算了参照核磁共振成像的超声波准确性。对 US 图像进行第二次共识,以计算总体 US 精确度。在核磁共振成像一致之前和之后,计算了一致的百分比和科恩卡帕相关系数。结果 研究共纳入 41 例患者,其中男性 12 例(29.3%),女性 29 例(70.7%),平均年龄 49.6 岁。对于冈上全厚度撕裂(FTTs),初级与经验丰富的 MSK 放射科医师判读的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)以及准确性分别为 100% vs 91%、90% vs 93%、79% vs 83%、100% vs 97%和 93% vs 93%。第二次共识后,敏感性、特异性、PPV 和 NPV 以及准确性分别为 91%、90%、77%、96% 和 90%。结论 初级医学影像科放射医师使用肩部超声诊断冈上肌撕裂的准确性优于经验丰富的放射医师,但对于部分厚度撕裂(PTT)的诊断准确性则不尽相同。
Early career accuracy of shoulder ultrasound in evaluating rotator cuff tendon tears.
Aim To compare the accuracy of shoulder ultrasound (US) in diagnosing rotator cuff tendon tears between junior and experienced musculoskeletal (MSK) radiologists. Also, to compare the overall ultrasound accuracy referenced to MRI. Methods A retrospective data collection for patients with clinically suspected rotator cuff tears who underwent ultrasound from June 2021 - June 2023 was conducted. Patients who also performed MRI for the same shoulder were only included in the study. US and MRI images were evaluated by two MSK radiologists with different experience levels. The diagnosis of rotator cuff tears was done on MRI through consensus. Ultrasound accuracy referenced to MRI was calculated for each radiologist. A second consensus was conducted for US images to calculate the overall US accuracy. The percentage of agreement and Cohen's kappa correlation coefficient were calculated before and after the US consensus. Results Forty-one patients were included in the study, 12 (29.3%) males and 29 (70.7%) females, with a mean age of 49.6 years. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and accuracy of US interpreted by junior vs experienced MSK radiologists for supraspinatus full thickness tears (FTTs) were 100% vs 91%, 90% vs 93%, 79% vs 83%, 100% vs 97%, and 93% vs 93%, respectively. After the second consensus, sensitivity, specificity, PPV and NPV, and accuracy were 91%, 90%, 77%, 96%, and 90%, respectively. Conclusion The accuracy of shoulder ultrasound in diagnosing supraspinatus FTTs by junior MSK radiologists compares well to the more experienced ones, but not for partial thickness tears (PTTs).
期刊介绍:
Medicinski Glasnik (MG) is the official publication (two times per year) of the Medical Association of Zenica-Doboj Canton. Manuscripts that present of original basic and applied research from all fields of medicine (general and clinical practice, and basic medical sciences) are invited.