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与主观组织学分级相比,移行细胞膀胱癌分级中的细胞核形态测量学

Nuclear morphometry in grading transitional cell bladder cancer compared with subjective histological grading.

作者信息

Lipponen P, Eskelinen M

机构信息

Department of Pathology, University of Kuopio, Finland.

出版信息

Anticancer Res. 1990 Nov-Dec;10(6):1725-30.

PMID:2285249
Abstract

A retrospective study was performed comprising 265 bladder cancer patients. The patients were clinically followed up for an average of 10 years. The initial tumour biopsies were subjected to morphometric analysis. The mean nuclear area (NA), the standard deviation of nuclear area (SDNA) and the mean area of the 10 largest nuclei (NA10) were measured using IBAS 1&2 image analyzer. The prognostic value of NA, SDNA, NA10, papillary, subjective histological grading (WHO) and clinical stage (UICC) was evaluated. The progress in T-category was related to histological grade (p less than 0.0001), non-papillar growth (p = 0.0023), SDNA (p = 0.0110) and NA10 (p = 0.0305), in that order. The same parameters in addition to NA predicted lymph node involvement and metastasis. Recurrence rate was significantly related to NA10 (p = 0.0250). Non-papillar growth (p = 0.002), clinical stage (p = 0.005), histological grade (p = 0.0120), NA (p = 0.0143), SDNA (0.0383) and NA10 (p = 0.0632) predicted recurrence-free period. Bladder cancer survival was related to clinical stage (p less than 0.0001), histological grade (p less than 0.0001), SDNA (p less than 0.0001), non-papillar growth (p less than 0.0001), NA (p = 0.0001) and NA 10 (p = 0.0001), in that order. Grade II tumours could be regrouped prognostically using NA (p = 0.006), SDNA (p = 0.033) and NA10 (p = 0.016) as classifiers. Clinical stage, NA and histological grade predicted bladder cancer survival in a multiparameter analysis. The results show that NA and SDNA are powerful prognosticators of survival. NA10 and SDNA predict progression better than NA. The multiparameter analysis identified clinical stage, histological grade and NA as the most important prognosticators of survival.

摘要

对265例膀胱癌患者进行了一项回顾性研究。对这些患者进行了平均10年的临床随访。对最初的肿瘤活检标本进行形态计量分析。使用IBAS 1&2图像分析仪测量平均核面积(NA)、核面积标准差(SDNA)以及10个最大细胞核的平均面积(NA10)。评估了NA、SDNA、NA10、乳头状、主观组织学分级(WHO)和临床分期(UICC)的预后价值。T分期的进展依次与组织学分级(p<0.0001)、非乳头状生长(p = 0.0023)、SDNA(p = 0.0110)和NA10(p = 0.0305)相关。除NA外,相同参数还可预测淋巴结受累和转移。复发率与NA10显著相关(p = 0.0250)。非乳头状生长(p = 0.002)、临床分期(p = 0.005)、组织学分级(p = 0.0120)、NA(p = 0.0143)、SDNA(0.0383)和NA10(p = 0.0632)可预测无复发期。膀胱癌生存率依次与临床分期(p<0.0001)、组织学分级(p<0.0001)、SDNA(p<0.0001)、非乳头状生长(p<0.0001)、NA(p = 0.0001)和NA 10(p = 0.0001)相关。II级肿瘤可使用NA(p = 0.006)、SDNA(p = 0.033)和NA10(p = 0.016)作为分类指标进行预后分组。在多参数分析中,临床分期、NA和组织学分级可预测膀胱癌生存率。结果表明,NA和SDNA是生存的有力预后指标。NA10和SDNA比NA能更好地预测进展。多参数分析确定临床分期、组织学分级和NA是生存的最重要预后指标。

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