Morphometric distinction of sclerosing adenosis from tubular carcinoma of the breast

A deep learning model for breast ductal carcinoma in situ classification in whole slide images

The pathological differential diagnosis between breast ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) is of pivotal importance for determining optimum cancer treatment(s) and clinical outcomes. Since conventional diagnosis by pathologists using microscopes is limited in terms of human resources, it is necessary to develop new techniques that can rapidly and accurately diagnose large numbers of histopathological specimens. Computational pathology tools which can assist pathologists in detecting and classifying DCIS and IDC from whole slide images (WSIs) would be of great benefit for routine pathological diagnosis. In this paper, we trained deep learning models capable of classifying biopsy and surgical histopathological WSIs into DCIS, IDC, and benign. We evaluated the models on two independent test sets (n= 1382, n= 548), achieving ROC areas under the curves (AUCs) up to 0.960 and 0.977 for DCIS and IDC, respectively.

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

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.

Computerized nuclear morphometry: a new morphologic assessment for advanced gastric adenocarcinoma

OBJECTIVE

To evaluate the correlation between the morphologic nuclear features and clinicopathologic parameters in patients with advanced gastric cancer.

SUMMARY BACKGROUND DATA

Nuclear profiles have been reported as useful prognostic predictors in various cancers. Data from computerized morphometries are objective and quickly derived using conventional microscopic analysis. However, this image analysis of nuclear features has rarely been applied to investigations of gastric adenocarcinoma. Moreover, it remains to be shown what types of biologic factors influence the nuclear features.

METHODS

Morphometric nuclear features (nuclear area, perimeter, and shape) were analyzed in 202 patients with serosal-invaded gastric cancer (stage II and III) who underwent curative gastrectomy. In each case, 300 cancer nuclei were analyzed on routine hematoxylin and eosin-stained slides through the use of a computer-assisted image analysis system by tracing the nuclear profiles (magnification x400) on a computer monitor. The morphometric data were compared with patient survival, clinicopathologic status, DNA ploidy pattern of tumors, expression of p53 protein, and proliferative activity of cancer cells.

RESULTS

Lymph node metastasis, lymphatic invasion, and venous invasion were more frequently detected in patients with large nuclear areas. Significant correlations were detected between the size of the nuclear area of cancer cells and the biologic factors of tumors, such as expression of p53, Ki-67 labeling index, and DNA ploidy pattern. The 5-year survival rate of the 100 patients in the large-nuclear group (nuclear area >45.3 microm2) was 47.6% and was significantly lower than the 74.4% rate of the 98 patients in the small-nuclear group (nuclear area < or =45.3 microm2). Moreover, the nuclear area was found to be an independent prognostic factor in the multivariate analysis.

CONCLUSIONS

Gastric cancer cells with a large nuclear area express mutated p53 protein and have high proliferative activity. Moreover, such cancer cells have high potential for invasion to the microvessels in the gastric wall. Thus, nuclear morphometry is a new and useful morphologic predictor for metastatic potential in advanced gastric cancer.

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

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 x400) 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 microm2, 25.9%) was significantly lower than that of the 36 patients who had tumors with small nuclear areas (< or =50 microm2, 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.

Aneuploidy in sclerosing adenosis may predict an increased risk of malignancy. A study using the AgNOR silver stain

Sclerosing adenosis (SA) of the breast if a disease associated with an increase relative risk of malignancy. The exact incidence and factors influencing malignant transformation in association with SA are not well established. Two counts of the AgNOR silver staining technique have been correlated with ploidy and proliferative activity. The first count which is the mean number of AgNOR granules (mAgNOR), correlates with ploidy. The second count is the percentage of nuclei exhibiting > or = 5 AgNORs/nucleus (pAgNOR) and reflects proliferative activity. The hypothesis in the current study was that aneuploidy, as determined by the AgNOR silver staining technique, may potentially identify lesions of SA with an increased association with malignant breast disease. The AgNOR silver staining technique was performed on 69 cases of SA with the application of the two counts. Of these cases 53 were not associated with malignancy and 16 were associated with synchronous or metachronous carcinoma of the breast, these being 11 cases of invasive ductal carcinoma (IDC), four cases of ductal carcinoma in situ (DCIS) and one case of lobular carcinoma in situ (LCIS). The patient ages ranged from 27 to 84 years (median 53 years) with a median follow up of 28 months. Six of the 53 cases of SA no associated with malignancy (11%) had aneuploid mAgNOR counts of > or = 2.4 whereas 12 of the 16 cases associated with carcinoma (80%) had such counts (p < 0.0005). This included nine cases of IDC, two cases of DCIS and the case of LCIS. Of the six aneuploid cases not associated with malignancy, two cases showed cytological atypia, one case was associated with atypical ductal hyperplasia and one case was seen in a leukemic patient who had received chemotherapy and radiation therapy. The pAgNOR counts showed a statistically less significant correlation with malignancy (p < 0.03). These findings suggest that aneuploidy, measured by the AgNOR silver stein, seen in SA may help identify lesions with a higher relative risk of being associated with breast carcinoma and hence that may require more aggressive management than diploid ones.

Chemoprevention trials and surrogate end point biomarkers in the cervix

Cervical cancer is the second most common malignancy in women worldwide and remains a significant health problem for women, especially minority and underserved women. Despite an understanding of the epidemiologic risks, the screening Papanicolaou smear, and morbid and costly treatment, overall survival remains 40%. New strategies, based on the clinical and molecular aspects of cervical carcinogenesis, are desperately needed. Chemoprevention refers to the use of chemical agents to prevent or delay the development of cancer in healthy populations. Chemoprevention studies have several unique features that distinguish them from classic chemotherapeutic trials; these features touch on several disciplines and weave knowledge of the biology of carcinogenesis into the trial design. In the design of chemoprevention trials, four factors are important: high risk cohorts must be identified; suitable medications must be selected; study designs should include Phases I, II, and III; and studies should include the use of surrogate end point biomarkers. Surrogate end point biomarkers are sought because the cancer develops over a long period of time, and studies of chemopreventives would require a huge number of subjects followed for many years. Surrogate end point biomarkers serve as alternative end points for examination of the efficacy of chemopreventives in tissue. High risk cohorts include women with cervical intraepithelial neoplasia (CIN) or squamous intraepithelial lesions (SIL). Nutritional studies have helped define micronutrients of interest (folate, carotenoids, vitamin C, vitamin E). Other medications of interest include retinoids (4-hydroxyphenylretinamide [4-HPR], retinyl acetate gel, topical all-trans-retinoic acid), polyamine synthesis inhibitors (alpha-difluoromethylornithine [DFMO]), and nonsteroidal anti-inflammatory drugs (ibuprofen). Phase I chemoprevention studies of the cervix have tested retinyl acetate gel and all-trans-retinoic acid. Phase II trials of all-trans-retinoic acid, beta-carotene, and folic acid have been and are being carried out, whereas Phase III trials of all-trans-retinoic acid have been completed and have shown significant regression of CIN 2 but not CIN 3. Phase I studies of DFMO and Phase II studies of DFMO and 4-HPR are underway. Surrogate end point biomarkers under study include (1) quantitative cytology and histopathology; (2) human papillomavirus type testing; (3) biologic measures of proliferation, regulation, differentiation, and genomic instability; and 4) fluorescence spectroscopic emission. Clinical trials with biologic end points will contribute to our understanding of the neoplastic process and hence aid us in developing new preventive and therapeutic strategies.

Radial scar versus tubular carcinoma of the breast. A comparative study with quantitative techniques (morphometry, image- and flow cytometry)

The present study is focused on the differential diagnosis between radial scar (RS) and tubular carcinoma (TC) using morphometrical and cytophotometrical analysis (static and flow cytometry) of a number of histologically well-established RS cases (17 lesions) compared with 6 early infiltrating small TC with sclerotic stroma and pseudo-RS fields. One case displayed both RS and TC foci in contiguity. Mean nuclear area was larger in the group of tubular carcinomas (51.0 mu 2) than in the case of radial sclerosis (38.30 mu 2). We also found a larger number of aneuploid cases in tubular carcinomas measured by image cytometry, but both types of lesions were diploid when measured by flow cytometry; only one case of radial scar resulted aneuploid.