Prognosis of early cervical cancer (FIGO stages IA2, IB, and IIA) in Northern Norway predicted by malignancy grading score and objective morphometric image analysis

被引:12
作者
Eggen, Tormod
Arnes, Marit
Moe, Bjorn
Straume, Bjorn
Orbo, Anne [1 ]
机构
[1] Univ Tromso, Fac Med, Inst Med Biol, Dept Pathol, N-9037 Tromso, Norway
[2] Univ Tromso Hosp, Dept Pathol, Tromso, Norway
[3] Univ Tromso, Inst Community Med, Tromso, Norway
关键词
cervical cancer; prognostic factors; malignancy grading score;
D O I
10.1097/pgp.0b013e3180341111
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Recurrence of early-stage cervical cancer after primary surgery represents a considerable clinical problem, and, so far, few reliable markers for prediction of recurrence exist. Thus, the prognostic value of the malignancy grading score (MGS) classification system was evaluated in 82 patients with early-stage cervical cancer (International Federation of Gynecology and Obstetrics stages IA2, IB, and IIA) and long-time follow-up (5-16 years). Recurrence or not, the likelihood of lymph node metastases and reproducibility of the MGS semiquantitative system were tested. The prognostic power of the MGS to identify high-risk cases prone to recurrence in patients lacking lymph node metastases at primary surgery was a main purpose of the present study. The semiquantitative MGS classification system was performed independently by 2 pathologists unaware of prognosis and clinical data using light microscopy. Routine hematoxylin and eosin sections from surgical specimens were used, and investigation area was defined in the deep part of the tumor. Data-based image analysis was also used to investigate if objective morphometric parameters could add any prognostic power to MGS. The 5-year survival for the whole patient group was 92%. Malignancy grading score of greater than 17 risk points was statistically highly significant in predicting relapse and lymph node metastases (n = 82). High-risk cases lacking lymph node metastases (n = 70) were also statistically associated with high MGS. Depth of invasion and vascular invasion were statistically related to recurrence. Objective image analysis of nuclear parameters was of no additional statistical value for the prediction of outcome. The MGS classification system proved to be a useful tool in predicting recurrence and lymph node metastases and, most importantly, was a predictor of high-risk patients without metastases at primary surgery.
引用
收藏
页码:447 / 456
页数:10
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