Prognosis of early cervical cancer (FIGO Stages IA2, IB, and IIA) in northern Norway predicted by malignancy grading score and objective morphometric image analysis.
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.
Eggen
Tormod
T
Department of Pathology, University Hospital of Tromsø, Tromsø, Norway.
Arnes
Marit
M
Moe
Bjørn
B
Straume
Bjørn
B
Orbo
Anne
A
D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D053208:Kaplan-Meier Estimate; D008207:Lymphatic Metastasis / Q000473:pathology; D008875:Middle Aged; D009364:Neoplasm Recurrence, Local; D009367:Neoplasm Staging; D009664:Norway; D011379:Prognosis; D015203:Reproducibility of Results; D002583:Uterine Cervical Neoplasms / Q000401:mortality / Q000473:pathology*