Histomorphometryin paraffin sections of thyroid tumors

Nafe, Reinhold; Fritsch, R.; Soudan, B.; Hammann, Arlette; Choritz, H.

doi:10.1016/s0344-0338(11)81249-5

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…Moreover, increasing abnormalities of nuclear morphometric features in parallel with tumor progression have been reported in various cancers. 8,9,17,21 Also, nuclear size has been reported to be an important prognostic factor for patients with intraoral squamous cell carcinoma, 22 breast carcinoma, 8 and renal cell carcinoma, 18 whereas nuclear shape has been reported to be an important prognostic factor for patients with colorectal carcinoma. 9 These results indicate that the occurrence of quantitative abnormalities of nuclear phenotype seems to be a generalized phenomenon among neoplasias.…”

Section: Discussionmentioning

confidence: 99%

Computerized nuclear morphometry is a useful technique for evaluating the high metastatic potential of colorectal adenocarcinoma

Ikeguchi

Sakatani²,

Endo³

et al. 1999

Cancer

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Section: Discussionmentioning

confidence: 99%

Computerized nuclear morphometry is a useful technique for evaluating the high metastatic potential of colorectal adenocarcinoma

Ikeguchi

Sakatani²,

Endo³

et al. 1999

Cancer

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“…Increases in nuclear size are more frequently detected in carcinomas than in non‐malignant borderline tumours20, 21. Increasing abnormalities of nuclear morphometric features in parallel with tumour progression have been reported in thyroid tumour22, colorectal cancer10, renal cell carcinoma, 11, 23, and breast cancer9, 12, 13, 24. Moreover, nuclear size has been reported as an important prognostic factor for patients with intra‐oral squamous cell carcinoma25, breast cancer9, and renal cell carcinoma11, 23.…”

Section: Discussionmentioning

confidence: 99%

Nuclear profiles of cancer cells reveal the metastatic potential of gastric cancer

et al. 2000

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Nuclear profiles have been reported as useful prognostic predictors in various cancers. Data from computerized morphometry are objective and can be quickly derived using conventional microscopic analysis, but image analysis of nuclear features has only rarely been applied to investigations of gastric cancer. The aim of this study was to evaluate the correlation between one of these morphological nuclear features and the clinicopathological parameters in patients with gastric cancer. The morphometric nuclear feature (nuclear area) was analysed in 400 patients with gastric cancer. In each case, 300 cancer nuclei on routine haematoxylin and eosin-stained slides were analysed through the use of a computer-assisted image analysis system which traced the nuclear profiles (magnificationx400) on a computer monitor. The morphometric data were compared with the patients' clinicopathological status and survival rate. The mean nuclear area (NA) of cancer cells from 400 cases of gastric cancer was 47.2 microm(2). The NAs of cancer cells from tumours with microvessel invasion (lymphatic or venous invasion), lymph node metastasis or hepatic metastasis at the time of operation were significantly larger than those of cancer cells from tumours without such invasion or metastases. Cytokeratin (CK) immunostaining was performed on 2577 lymph nodes from 91 patients with advanced gastric cancer (pT3, pN0, pM0, stage II) to detect micrometastases. CK-positive lymph nodes were detected in 350 of 2577 lymph nodes (13. 6%) and in 62 of 91 patients (68.1%). The mean NA of cancer cells from 62 tumours with micrometastases (44 microm(2)) was larger than that of cancer cells from 29 tumours without micrometastases (38.8 microm(2), p=0.043), and a significant positive correlation was detected between the NAs of cancer cells from 91 tumours and the number of micrometastatic lymph nodes of 91 patients (rho=0.278, p=0. 008). Cancer cells with large NA correlated strongly with haematogenous and lymph node recurrence or relapse after gastrectomy and the NA of cancer cells was identified as an independent prognostic factor in gastric cancer. Nuclear morphometry is an objective, reproducible, and technically uncomplicated procedure. The NA of cancer cells correlates closely with the metastatic potential of gastric cancer. Nuclear morphometry may therefore be useful for the selection of patients who are at risk of haematogenous or lymph node metastatic recurrence after surgery.

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“…Computerized image analysis allows accurate and objective evaluation of nuclear morphology, and has been used to show that increases in nuclear size and in irregularity of nuclear shape are more frequently detected in carcinomas than in nonmalignant borderline tumors [8,13]. Increasing abnormalities of nuclear morphometric features in conjunction with tumor progression have been reported in thyroid tumor [14], colorectal cancer [6], renal cell carcinoma [7,15] and breast cancer [5,9,16,17]. Moreover, nuclear size has been reported as an important prognostic factor for patients with intraoral squamous cell carcinoma [18], breast cancer [5], and renal cell carcinoma [7,15], whereas nuclear shape has been reported to be an important prognostic factor for patients with colorectal carcinoma [6].…”

Section: Discussionmentioning

confidence: 99%

Computerized nuclear morphometry of hepatocellular carcinoma and its relation to proliferative activity

et al. 1998

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Background and Objectives: Nuclear profiles have been reported as useful prognostic predictor in various cancers. Data from computerized morphometries are objective and can be quickly derived using conventional microscopic analysis. However, it remains to be shown what types of pathological and biological factors influence the nuclear features. The aim of this study was to evaluate the correlation between the morphological nuclear features and clinicopathological parameters in patients with hepatocellular carcinoma (HCC). Methods Morphometric nuclear features (nuclear area, perimeter, and shape) were analyzed in 76 patients with hepatocellular carcinoma who underwent hepatectomy at our hospital. In each case, 300 cancer nuclei were analyzed randomly on routine hematoxylin&eosin‐stained slides through the use of a computer‐assisted image analysis system that allowed us to trace the nuclear profiles (magnification ×400) on a computer monitor. The morphometric data were compared with patient survival, clinicopathologic status, and the proliferative activity of cancer cells. Results The mean nuclear area of poorly differentiated carcinoma was significantly larger than that of moderately and well differentiated carcinoma (P = 0.0003). Significant correlation was detected between the nuclear area of cancer cells and proliferative activity associated with proliferating cell nuclear antigen labeling index (PCNA LI) of cancer cells (r = 0.372, P = 0.0008). Moreover, blood vessel invasion of cancer cells or intrahepatic metastasis were more frequently detected in patients with large nuclear areas. Even though the nuclear area was not an independent prognostic factor in the multivariate analysis, the 5‐year survival rate of the 35 patients who had tumors with large nuclear areas ( > 50 μm2, 25.9%) was significantly lower than that of the 36 patients who had tumors with small nuclear areas (⩽50 μm2, 63.3%, P = 0.001). Conclusions The nuclear area of HCC correlates with cell differentiation and cell proliferative activity. Moreover, HCC with a large nuclear area has high potential for blood vessel invasion and intrahepatic metastasis. Thus, nuclear morphometry can be used as an useful morphological predictor for malignant potential in patients with HCC. J. Surg. Oncol. 68:225–230. 1998. © 1998 Wiley‐Liss, Inc.

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Histomorphometryin paraffin sections of thyroid tumors

Cited by 12 publications

References 10 publications

Computerized nuclear morphometry is a useful technique for evaluating the high metastatic potential of colorectal adenocarcinoma

Computerized nuclear morphometry is a useful technique for evaluating the high metastatic potential of colorectal adenocarcinoma

Nuclear profiles of cancer cells reveal the metastatic potential of gastric cancer

Computerized nuclear morphometry of hepatocellular carcinoma and its relation to proliferative activity

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