Predicting the Outcome of Endometrial Hyperplasia by Quantitative Analysis of Nuclear Features Using a Linear Discriminant Function

Colgan, Terry; Norris, Henry J.; Foster, Walter E.; Kurman, Robert J.; Fox, Cecil H.

doi:10.1097/00004347-198301040-00004

Cited by 49 publications

(6 citation statements)

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“…[9][10][11][12] When quantitative architectural and nuclear criteria were combined, the accuracy of prognosis prediction in endometrial hyperplasia was even better.…”

mentioning

confidence: 99%

Computerised morphometrical analysis in endometrial hyperplasia for the prediction of cancer development. A long term retrospective study from northern Norway

Ørbo

Baak²,

Kleivan³

et al. 2000

Journal of Clinical Pathology

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“…[9][10][11][12] When quantitative architectural and nuclear criteria were combined, the accuracy of prognosis prediction in endometrial hyperplasia was even better.…”

mentioning

confidence: 99%

Computerised morphometrical analysis in endometrial hyperplasia for the prediction of cancer development. A long term retrospective study from northern Norway

Ørbo

Baak²,

Kleivan³

et al. 2000

Journal of Clinical Pathology

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“…Quantitative cytomorphology identifies degrees of architectural and cytologic atypia as shown by Ausems et al (1985), Baak et al (1981), and Colgan et al (1983). Glandular form, nuclear size and nuclear shape can be measured and compared.…”

Section: Further Characterization Of Hyperplasiamentioning

confidence: 99%

Endometrial adenocarcinoma

Noumoff

Faruqi

1993

Microscopy Res & Technique

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Adenocarcinoma of the endometrium is the most common gynecologic malignancy in the United States, accounting for some 36,000 cases of invasive cancer each year. Hyperplastic lesions of the endometrium follow a continuum, with the risk of progression to carcinoma being related to the severity of the disorder. Risk factors associated with the development of adenocarcinoma include hyperplasia, obesity, menstrual abnormalities, diabetes, hypertension, prior pelvic irradiation, sequential oral contraceptive use, diet, and exogenous estrogen use. There is also some evidence of genetic predisposition, and some data indicating the possibility of specific genetic abnormalities and activation of oncogenes as factors determining the etiology of the disease. At this time there is no accepted screening test for endometrial carcinoma, though the role of immunochemistry techniques for screening and follow-up has just begun to be realized. Dilatation and curettage along with hysteroscopy remain the major means of diagnosis. A variety of prognostic variables including tumor cell type, histologic grade, depth of myometrial invasion, status of peritoneal cytology, presence of disease in preformed vascular spaces, presence of adnexal metastases, and presence of cervical involvement have been defined. Although the treatment plan for each patient must be individualized, the mainstay of treatment remains total abdominal hysterectomy with bilateral salpingo-oophorectomy. Metastatic and recurrent disease is usually treated with hormonal therapy and systemic chemotherapy. Radiation therapy like surgery in recurrent disease is only applicable for the treatment of local recurrences.

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“…Computer capabilities, both in hardware and soft ware development, have begun to expand the possi bilities of assisted diagnosis through image anal ysis [1][2][3][4][5][6][7].…”

Section: Introoucti Oomentioning

confidence: 99%

Computer-aided morphometric applications (image analysis) in gynecologic pathology

Robboy¹,

Mehta²,

Trost³

et al. 1988

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Predicting the Outcome of Endometrial Hyperplasia by Quantitative Analysis of Nuclear Features Using a Linear Discriminant Function

Cited by 49 publications

References 0 publications

Computerised morphometrical analysis in endometrial hyperplasia for the prediction of cancer development. A long term retrospective study from northern Norway

Computerised morphometrical analysis in endometrial hyperplasia for the prediction of cancer development. A long term retrospective study from northern Norway

Endometrial adenocarcinoma

Computer-aided morphometric applications (image analysis) in gynecologic pathology

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