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您的检索式：作者名="Filippo Randelli"
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| 1 | Reporting rotator cuff tears on magnetic resonance arthrography using the Snyder's arthroscopic classification显示文摘AIM To determine diagnostic performance of magnetic resonance arthrography(MRA) in evaluating rotator cuff tears(RCTs) using Snyder's classification for reporting.METHODS One hundred and twenty-six patients(64 males, 62 females; median age 55 years) underwent shoulder MRA and arthroscopy, which represented our reference standard. Surgical arthroscopic reports were reviewed and the reported Snyder's classification was recorded. MRA examinations were evaluated by two independent radiologists(14 and 5 years' experience) using Snyder's classification system, blinded to arthroscopy. Agreement between arthroscopy and MRA on partial-and fullthickness tears was calculated, first regardless of their extent. Then, analysis took into account also the extent of the tear. Interobserver agreement was also calculated the quadratically-weighted Cohen kappa statistics.RESULTS On arthroscopy, 71/126 patients(56%) had a fullthickness RCT. The remaining 55/126 patients(44%) had a partial-thickness RCT. Regardless of tear extent, out of 71 patients with arthroscopically-confirmed fullthickness RCTs, 66(93%) were correctly scored by both readers. All 55 patients with arthroscopic diagnosis of partial-thickness RCT were correctly assigned as having a partial-thickness RCT at MRA by both readers. Interobserver reproducibility analysis showed total agreement between the two readers in distinguishing partial-thickness from full-thickness RCTs, regardless of tear extent(k = 1.000). With regard to tear extent, in patients in whom a complete tear was correctly diagnosed, correct tear extent was detected in 61/66 cases(92%); in the remaining 5/66 cases(8%), tear extent was underestimated. Agreement was k = 0.955. Interobserver agreement was total(k = 1.000).CONCLUSION MRA shows high diagnostic accuracy and reproducibility in evaluating RCTs using the Snyder's classification for reporting. Snyder's classification may be adopted for routine reporting of MRA. | Alberto Aliprandi Carmelo Messina Paolo Arrigoni Michele Bandirali Giovanni Di Leo Stefano Longo Sandro Magnani Chiara Mattiuz Filippo Randelli Silvana Sdao Francesco Sardanelli Luca Maria Sconfienza Pietro Randelli | 2017 | World Journal of Radiology2017，9，3： | 3 |
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