Comparison of magnetic resonance imaging and ultrasound (MRI‐US) fusion‐guided prostate biopsies obtained from axial and sagittal approaches

磁共振成像 医学 矢状面 一致性 活检 前列腺癌 核医学 癌症 癌症检测 放射科 前列腺 内科学
作者
Cheng William Hong,Soroush Rais‐Bahrami,Annerleim Walton‐Diaz,Nabeel Shakir,Daniel Su,Arvin K. George,Maria J. Merino,Barış Türkbey,Peter L. Choyke,Bradford J. Wood,Peter A. Pinto
出处
期刊:BJUI [Wiley]
卷期号:115 (5): 772-779 被引量:49
标识
DOI:10.1111/bju.12871
摘要

To compare cancer detection rates and concordance between magnetic resonance imaging and ultrasound (MRI-US) fusion-guided prostate biopsy cores obtained from axial and sagittal approaches.Institutional records of MRI-US fusion-guided biopsy were reviewed. Detection rates for all cancers, Gleason ≥3 + 4 cancers, and Gleason ≥4 + 3 cancers were computed. Agreement between axial and sagittal cores for cancer detection, and frequency where one was upgraded the other was computed on a per-target and per-patient basis.In all, 893 encounters from 791 patients that underwent MRI-US fusion-guided biopsy in 2007-2013 were reviewed, yielding 4688 biopsy cores from 2344 targets for analysis. The mean age and PSA level at each encounter was 61.8 years and 9.7 ng/mL (median 6.45 ng/mL). Detection rates for all cancers, ≥3 + 4 cancers, and ≥4 + 3 cancers were 25.9%, 17.2%, and 8.1% for axial cores, and 26.1%, 17.6%, and 8.6% for sagittal cores. Per-target agreement was 88.6%, 93.0%, and 96.5%, respectively. On a per-target basis, the rates at which one core upgraded or detected a cancer missed on the other were 8.3% and 8.6% for axial and sagittal cores, respectively. Even with the inclusion of systematic biopsies, omission of axial or sagittal cores would have resulted in missed detection or under-characterisation of cancer in 4.7% or 5.2% of patients, respectively.Cancer detection rates, Gleason scores, and core involvement from axial and sagittal cores are similar, but significant cancer may be missed if only one core is obtained for each target. Discordance between axial and sagittal cores is greatest in intermediate-risk scenarios, where obtaining multiple cores may improve tissue characterisation.
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