Robinson P J, Arnold P, Wilson D
Clinical Radiology Research Unit and Medical Physics Department, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
Br J Radiol. 2003 Dec;76(912):866-74. doi: 10.1259/bjr/99569888.
Distinguishing between small benign malformations in the liver and early metastatic disease remains difficult. We identified a group of 115 patients with known or suspected malignant disease who had "indeterminate" small liver lesions and who underwent 2-16 CT examinations (median 5) over a follow up period of 6-60 months (median 16). The size, shape, edge, homogeneity and attenuation of each of these lesions was assessed. The lesions were classified by their behaviour on follow up CT as either stable (79%) or unstable (21%). The unstable lesions (n=62) included 37 that grew larger and 25 that became smaller or disappeared in patients undergoing anti-tumour therapy. Image features predictive of stable behaviour were small size and sharp edge. Heterogeneity and soft tissue attenuation were significantly associated with unstable behaviour, but these features were seen in only a small minority of cases. Shape had no predictive value. A logistic regression model was constructed based on size and edge to allow an estimate to be made of the likelihood of an individual lesion being unstable. In patients with known or suspected malignant disease, the majority of isolated small liver lesions found on CT are benign. Although size under 5 mm and a sharp margin are favourable features, this appearance does not exclude malignancy.
区分肝脏中的小良性畸形与早期转移性疾病仍然困难。我们确定了一组115例已知或疑似患有恶性疾病的患者,他们有“不确定”的肝脏小病变,并在6至60个月(中位数16个月)的随访期内接受了2至16次CT检查(中位数5次)。评估了这些病变中每一个的大小、形状、边缘、均匀性和衰减情况。根据随访CT上的表现,将病变分类为稳定(79%)或不稳定(21%)。不稳定病变(n = 62)包括37个增大的病变和25个在接受抗肿瘤治疗的患者中变小或消失的病变。预测稳定表现的影像特征为小尺寸和边缘清晰。不均匀性和软组织衰减与不稳定表现显著相关,但这些特征仅在少数病例中出现。形状没有预测价值。基于大小和边缘构建了一个逻辑回归模型,以估计单个病变不稳定的可能性。在已知或疑似患有恶性疾病的患者中,CT上发现的大多数孤立性肝脏小病变是良性的。虽然小于5毫米的大小和清晰的边缘是有利特征,但这种表现并不能排除恶性肿瘤。