Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
Department of Orthopedic Surgery, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
Eur Radiol. 2024 Aug;34(8):5228-5238. doi: 10.1007/s00330-023-10517-2. Epub 2024 Jan 20.
To determine the inter-reader reliability and diagnostic performance of classification and severity scales of Neuropathy Score Reporting And Data System (NS-RADS) among readers of differing experience levels after limited teaching of the scoring system.
This is a multi-institutional, cross-sectional, retrospective study of MRI cases of proven peripheral neuropathy (PN) conditions. Thirty-two radiology readers with varying experience levels were recruited from different institutions. Each reader attended and received a structured presentation that described the NS-RADS classification system containing examples and reviewed published articles on this subject. The readers were then asked to perform NS-RADS scoring with recording of category, subcategory, and most likely diagnosis. Inter-reader agreements were evaluated by Conger's kappa and diagnostic accuracy was calculated for each reader as percent correct diagnosis. A linear mixed model was used to estimate and compare accuracy between trainees and attendings.
Across all readers, agreement was good for NS-RADS category and moderate for subcategory. Inter-reader agreement of trainees was comparable to attendings (0.65 vs 0.65). Reader accuracy for attendings was 75% (95% CI 73%, 77%), slightly higher than for trainees (71% (69%, 72%), p = 0.0006) for nerves and comparable for muscles (attendings, 87.5% (95% CI 86.1-88.8%) and trainees, 86.6% (95% CI 85.2-87.9%), p = 0.4). NS-RADS accuracy was also higher than average accuracy for the most plausible diagnosis for attending radiologists at 67% (95% CI 63%, 71%) and for trainees at 65% (95% CI 60%, 69%) (p = 0.036).
Non-expert radiologists interpreted PN conditions with good accuracy and moderate-to-good inter-reader reliability using the NS-RADS scoring system.
The Neuropathy Score Reporting And Data System (NS-RADS) is an accurate and reliable MRI-based image scoring system for practical use for the diagnosis and grading of severity of peripheral neuromuscular disorders by both experienced and general radiologists.
• The Neuropathy Score Reporting And Data System (NS-RADS) can be used effectively by non-expert radiologists to categorize peripheral neuropathy. • Across 32 different experience-level readers, the agreement was good for NS-RADS category and moderate for NS-RADS subcategory. • NS-RADS accuracy was higher than the average accuracy for the most plausible diagnosis for both attending radiologists and trainees (at 75%, 71% and 65%, 65%, respectively).
在对评分系统进行有限的教学后,确定不同经验水平的读者使用神经病变评分报告和数据系统(NS-RADS)分类和严重程度量表的读者间可靠性和诊断性能。
这是一项多机构、横断面、回顾性研究,对已证实的周围神经病变(PN)病例进行 MRI 检查。从不同机构招募了 32 名具有不同经验水平的放射科读者。每位读者都参加了一个结构化的演示,介绍了 NS-RADS 分类系统,其中包含示例,并回顾了关于该主题的已发表文章。然后要求读者使用 NS-RADS 进行评分,并记录类别、子类别和最可能的诊断。通过 Conger's kappa 评估读者间的一致性,并计算每位读者的诊断准确性作为正确诊断的百分比。使用线性混合模型来估计和比较受训者和主治医生之间的准确性。
在所有读者中,NS-RADS 类别一致性良好,子类别一致性中等。受训者的读者间一致性与主治医生相当(0.65 对 0.65)。主治医生的读者准确率为 75%(95%CI 73%,77%),略高于受训者(71%(95%CI 69%,72%),p=0.0006),神经的准确率稍高,肌肉的准确率相当(主治医生为 87.5%(95%CI 86.1-88.8%),受训者为 86.6%(95%CI 85.2-87.9%),p=0.4)。NS-RADS 准确性也高于主治医生平均诊断最可能诊断的准确率(67%(95%CI 63%,71%)和受训者的准确率(65%(95%CI 60%,69%))(p=0.036)。
非专家放射科医生使用 NS-RADS 评分系统对 PN 情况进行了准确且具有中等至良好一致性的解释。
神经病变评分报告和数据系统(NS-RADS)是一种准确且可靠的 MRI 基于图像评分系统,经验丰富和普通放射科医生均可使用该系统对周围神经肌肉疾病进行诊断和严重程度分级。
非专家放射科医生可以使用神经病变评分报告和数据系统(NS-RADS)有效地对周围神经病进行分类。
在 32 名不同经验水平的读者中,NS-RADS 类别一致性良好,NS-RADS 子类别一致性中等。
NS-RADS 准确性高于主治医生和受训者平均诊断最可能诊断的准确率(分别为 75%、71%和 65%、65%)。