Nouh M R, Doweidar Ahmed, Khalil Abdullah Mohie-Eddin
Department of Radiology, Faculty of Medicine, Alexandria University, Egypt.
Department of Radiology, SWBH NHS TRUST, Birmingham, West Midlands B187QH, UK.
Eur J Radiol Open. 2021 Nov 25;8:100386. doi: 10.1016/j.ejro.2021.100386. eCollection 2021.
To probe the potential of apparent diffusion coefficient (ADC) to rectify the incidentally detected bone lesion on MRI into benign or malignant lesions.
We retrospectively recruited 44 patients (24 males and 20 females); with 52 bone lesions, who underwent diffusion weighted (DW) imaging using multiple b-values on 3 T MRI. ADC maps were derived and analyzed by two radiologists; blinded to the final diagnosis. The mean ADC values were used for statistical analyses. The diagnosis was deduced by histopathological confirmation; in 32 lesions and strict clinical and imaging follow-up for at least 12 months; in 20 lesions.
The mean ADC value (mean±SD) of all malignant tumors (including cartilaginous neoplasms) was [0.92 ± 0.40] × 10-3 mm/s. This significantly differed from those of both primary benign tumors [1.14 ± 0.24] × 10-3 mm/s, (p = 0.011), and all non-malignant lesions collectively [1.29 ± 0.44] × 10-3 mm/s, (p < 0.001). Using mADC value of ≤ 1.1 × 10- mm/s resulted in 86.1% sensitivity and 62.5% specificity for characterizing a lesion as a malignant. The inter-rater reliability was almost perfect (95% CI = 0.954-0.985).
ADC could be a non-invasive in-vivo surrogate that may be able to discern the incidentally discovered osseous lesions into benign and malignant pathologies and guide further diagnostic workup.
探讨表观扩散系数(ADC)对磁共振成像(MRI)偶然发现的骨病变进行良恶性鉴别的潜力。
我们回顾性招募了44例患者(24例男性和20例女性),共52处骨病变,这些患者在3T MRI上使用多个b值进行了扩散加权(DW)成像。由两名对最终诊断不知情的放射科医生得出并分析ADC图。采用平均ADC值进行统计分析。32处病变通过组织病理学确诊,20处病变通过严格的临床和影像学随访至少12个月来进行诊断。
所有恶性肿瘤(包括软骨肿瘤)的平均ADC值(均值±标准差)为[0.92±0.40]×10⁻³mm²/s。这与原发性良性肿瘤的平均ADC值[1.14±0.24]×10⁻³mm²/s(p = 0.011)以及所有非恶性病变的平均ADC值[1.29±0.44]×10⁻³mm²/s(p < 0.001)均有显著差异。使用≤1.1×10⁻³mm²/s的平均ADC值(mADC)来判定病变为恶性时,敏感性为86.1%,特异性为62.5%。评分者间信度几乎完美(95%CI = 0.954 - 0.985)。
ADC可能是一种非侵入性的体内替代指标,能够将偶然发现的骨病变区分为良性和恶性病理类型,并指导进一步的诊断检查。