Morphometry for Prognosis Prediction in Breast Cancer

Baak, Jan P. A.; Kurver, P.H.J.; Graaf, Sabine de; Boon, Mathilde E.

doi:10.1016/s0140-6736(81)90574-2

Cited by 13 publications

(7 citation statements)

References 6 publications

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“…Indeed, all of the tested parameters were correlated with survival. Our results are in agreement with several studies showing the prognostic value of nuclear morphometry in FBC (Zajdela et al, 1979; Baak et al, 1981; Baak et al, 1982; Stenkvist et al 1982; Sharkey et al, 1983; Kuenen‐Boumeester et al, 1984; Baak et al, 1985, Aaltomaa et al, 1992; Kronqvist et al, 1998). In particular, SDNP appeared to be the most significant prognostic factor, in accordance with the findings of Aaltomaa et al (Aaltomaa et al, 1992) in a large series of FBC.…”

Section: Discussionsupporting

confidence: 92%

“…In earlier studies, the feasibility of morphometry for the prognosis prediction of patients with FBC has been shown (Zajdela et al, 1979; Stenkvist et al, 1982; Sharkey et al, 1983; Kuenen‐Boumeester et al, 1984). The prognostic role of morphometry in FBC has been extensively investigated by Baak's group from the Netherlands (Baak et al, 1981; Baak et al, 1982; Baak et al, 1985; Baak et al, 1993). A morphometric grading based on nuclear profile area, diameter and mean shortest axis could reliably separate FBCs with favorable, intermediate or unfavorable course of disease (Kronqvist et al, 1998).…”

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confidence: 99%

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Nuclear morphometry in male breast carcinoma: Association with cell proliferative activity, oncogene expression, DNA content and prognosis

2000

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To investigate the prognostic value of nuclear morphometry in male breast carcinoma (MBC), histological samples from 50 patients (mean age 62.2 years) were retrospectively analyzed by computerized nuclear morphometry. All patients received surgery; 35 had multiple combinations of adjuvant therapies. Mean follow‐up was 67 months (range 1–230). In each case, 100 tumor cells were measured, and the mean nuclear area (MNA), standard deviation of the nuclear area (SDNA), mean nuclear perimeter (MNP), standard deviation of the nuclear perimeter (SDNP) and shape factor (SHF) were calculated. Morphometric features were compared with tumor histological grade, size, nodal status, DNA ploidy evaluated by flow‐cytometry and cell proliferative activity assessed by the quantity of argyrophilic nucleolar organizer region–associated proteins (AgNORs), monoclonal antibody (MAb) PC10 against proliferating cell nuclear antigen and MAb MIB‐1. Comparison was also made with the immunohistochemical detection of p53, bcl‐2, c‐erbB‐2 and c‐myc proteins. Significant association was found between nuclear morphometric parameters and tumor grade, DNA content and cell proliferation indices. SDNA was greater in p53‐positive and bcl‐2–negative cases; SDNP was greater in p53‐positive cases; SHF was lower in p53‐ and c‐myc–positive cases. Overall survival was shorter in carcinomas with high MNA, SDNA, MNP and SDNP and low SHF. In multivariate analysis, performed by testing nuclear morphometric parameters, histological grade, tumor size, nodal status and p53 immunostaining in the Cox model, p53 over‐expression and histological grade retained independent prognostic significance. When p53 was excluded, only SDNP appeared as an independent prognostic variable. Our results indicate that nuclear morphometric parameters can identify an aggressive tumor phenotype and provide additional prognostic information for patients with MBC. Int. J. Cancer 89:494–499, 2000. © 2000 Wiley‐Liss, Inc.

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Section: Discussionsupporting

confidence: 92%

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confidence: 99%

Nuclear morphometry in male breast carcinoma: Association with cell proliferative activity, oncogene expression, DNA content and prognosis

2000

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“…Unlike previous work in cancer morphometry (18)(19)(20)(21), our image analysis pipeline was not limited to a predefined set of morphometric features selected by pathologists. Rather, C-Path measures an extensive, quantitative feature set from the breast cancer epithelium and the stroma (Fig.…”

Section: Introductionmentioning

confidence: 99%

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

et al. 2011

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The morphological interpretation of histologic sections forms the basis of diagnosis and prognostication for cancer. In the diagnosis of carcinomas, pathologists perform a semiquantitative analysis of a small set of morphological features to determine the cancer's histologic grade. Physicians use histologic grade to inform their assessment of a carcinoma's aggressiveness and a patient's prognosis. Nevertheless, the determination of grade in breast cancer examines only a small set of morphological features of breast cancer epithelial cells, which has been largely unchanged since the 1920s. A comprehensive analysis of automatically quantitated morphological features could identify characteristics of prognostic relevance and provide an accurate and reproducible means for assessing prognosis from microscopic image data. We developed the C-Path (Computational Pathologist) system to measure a rich quantitative feature set from the breast cancer epithelium and stroma (6642 features), including both standard morphometric descriptors of image objects and higher-level contextual, relational, and global image features. These measurements were used to construct a prognostic model. We applied the C-Path system to microscopic images from two independent cohorts of breast cancer patients [from the Netherlands Cancer Institute (NKI) cohort, n = 248, and the Vancouver General Hospital (VGH) cohort, n = 328]. The prognostic model score generated by our system was strongly associated with overall survival in both the NKI and the VGH cohorts (both log-rank P ≤ 0.001). This association was independent of clinical, pathological, and molecular factors. Three stromal features were significantly associated with survival, and this association was stronger than the association of survival with epithelial characteristics in the model. These findings implicate stromal morphologic structure as a previously unrecognized prognostic determinant for breast cancer.

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“…In previous studies (Baak et a!. 1981, Stenkvist et al 1982 it was shown that the mitotic activity index is one of the most important prognosticators in breast cancer.…”

Section: Discussionmentioning

confidence: 99%

“…Quantitative methods are more objective and therefore preferable. Indeed, several studies have independently shown that morphometry is an important prognosticator (Zajdela et al 1979, Baak et al 1981, Stenkvist et al 1982, more significant even than axillary lymph node status and tumour size. The mitotic activity index, mean and standard deviation of nuclear area and variation of DNA content are the most important of these morphometrical parameters.…”

Section: Introductionmentioning

confidence: 99%

The relative prognostic significance of nucleolar morphometry in invasive ductal breast cancer

Baak¹

1985

Histopathology

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In a group of 65 patients with invasive ductal breast cancer with adequate follow-up for at least 5 years, the prognostic significance of nucleolar area morphometry was investigated. In general, non-survivors have larger and more pleomorphic nucleoli. A value of the standard deviation of the nucleolar area above 2.49 micron2 was almost exclusively found in non-survivors. This is the more interesting because several of these patients had a low mitotic activity index and small tumours, some of these having negative lymph nodes. Without nucleolar morphometry these patients would have been included in a favourable prognosis group. Although the sensitivity of nucleolar morphometry is low, the method can be used as an additional prognostic indicator. This is more important as nucleoli can in principle be automatically measured with digital image processing computers.

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Morphometry for Prognosis Prediction in Breast Cancer

Cited by 13 publications

References 6 publications

Nuclear morphometry in male breast carcinoma: Association with cell proliferative activity, oncogene expression, DNA content and prognosis

Nuclear morphometry in male breast carcinoma: Association with cell proliferative activity, oncogene expression, DNA content and prognosis

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

The relative prognostic significance of nucleolar morphometry in invasive ductal breast cancer

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