Abstract:Objective: The cytological diagnosis of coelomic fluid is essential for examining malignant mesothelioma (MM). However, reactive mesothelium (RM), caused by various factors, is morphologically similar to MM and thus often complicates the differential diagnosis. Here, nuclear luminance and steric alterations were assessed for the discriminant analysis of MM and RM. Study Design: Thirteen epithelial MM and 11 RM cases were included. One hundred alterations in the numbers of nuclear pixels and focus layers and th… Show more
“…Our analysis was useful in discriminating between MM and RM in specimens using the auto-smear method. As reported in 2011, retrospective discriminant analysis using direct smear specimens from patients histologically diagnosed as MM or RM yielded discrimination rates of 89.5% for MM and 89.6% for RM [18]. Nuclear roundness was also examined in our discriminant analysis, which increased the discrimination rate of MM to 91.7%.…”
Section: Discussionmentioning
confidence: 58%
“…(2) Discriminant analysis of MM and RM using centrifuged direct smear specimens [18]. The discrimination between RM and MM using data (excluding roundness) obtained from auto-smear specimens in the present study, based on a cut-off value determined from direct smear specimens of 0.072, is shown in tables 5 and 6.…”
Section: Resultsmentioning
confidence: 79%
“…We focused on the 3-dimensional structures of nuclei in cell smear specimens to investigate the objective discrimination of malignancy using the 3-dimensional analysis of nuclear luminance [15,16,17,18]. Individual nuclei in cell specimens were 3-dimensionally photographed for retrospective discrimination based on Mahalanobis distance using various parameters including pixel counts (area), number of focus layers (number of images with the nuclei microscopically and morphologically focused) and 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers (3D-CV), facilitating a discriminant diagnosis between MM and RM [18].…”
Section: Introductionmentioning
confidence: 99%
“…Individual nuclei in cell specimens were 3-dimensionally photographed for retrospective discrimination based on Mahalanobis distance using various parameters including pixel counts (area), number of focus layers (number of images with the nuclei microscopically and morphologically focused) and 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers (3D-CV), facilitating a discriminant diagnosis between MM and RM [18]. Thus, atypical mesothelial cells were analyzed in a blinded manner with regard to the results of the discriminant diagnosis between MM and RM.…”
Objective: Morphological discrimination between malignant mesothelioma (MM) and reactive mesothelium (RM) is often difficult. Stereological analysis of nuclear luminance using centrifuged smear samples from coelomic fluid and discriminant analysis based on Mahalanobis distance may help to more accurately discriminate between MM and RM. In the present study, discriminant analysis was conducted on cytological specimens using the auto-smear method in a blinded manner with regard to histological results. Study Design: Coelomic fluid samples of 28 cases, cytologically diagnosed using the auto-smear method, were analyzed to determine pixel counts, the number of focus layers, 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers as well as roundness in about 30-50 atypical cell nuclei per case. These measurements were employed to determine malignancy based on Mahalanobis distance. Results: Discrimination rates were as high as 91.7% for MM and 82.7% for RM. The discrimination rates of MM with histology were >80% in 8 of 10 suspicious cases with the initial cytology. Conclusion: Our method allowed accurate discrimination between MM and RM and provides a useful alternative for the diagnosis of suspicious cases where morphological diagnosis of malignancy is difficult.
“…Our analysis was useful in discriminating between MM and RM in specimens using the auto-smear method. As reported in 2011, retrospective discriminant analysis using direct smear specimens from patients histologically diagnosed as MM or RM yielded discrimination rates of 89.5% for MM and 89.6% for RM [18]. Nuclear roundness was also examined in our discriminant analysis, which increased the discrimination rate of MM to 91.7%.…”
Section: Discussionmentioning
confidence: 58%
“…(2) Discriminant analysis of MM and RM using centrifuged direct smear specimens [18]. The discrimination between RM and MM using data (excluding roundness) obtained from auto-smear specimens in the present study, based on a cut-off value determined from direct smear specimens of 0.072, is shown in tables 5 and 6.…”
Section: Resultsmentioning
confidence: 79%
“…We focused on the 3-dimensional structures of nuclei in cell smear specimens to investigate the objective discrimination of malignancy using the 3-dimensional analysis of nuclear luminance [15,16,17,18]. Individual nuclei in cell specimens were 3-dimensionally photographed for retrospective discrimination based on Mahalanobis distance using various parameters including pixel counts (area), number of focus layers (number of images with the nuclei microscopically and morphologically focused) and 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers (3D-CV), facilitating a discriminant diagnosis between MM and RM [18].…”
Section: Introductionmentioning
confidence: 99%
“…Individual nuclei in cell specimens were 3-dimensionally photographed for retrospective discrimination based on Mahalanobis distance using various parameters including pixel counts (area), number of focus layers (number of images with the nuclei microscopically and morphologically focused) and 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers (3D-CV), facilitating a discriminant diagnosis between MM and RM [18]. Thus, atypical mesothelial cells were analyzed in a blinded manner with regard to the results of the discriminant diagnosis between MM and RM.…”
Objective: Morphological discrimination between malignant mesothelioma (MM) and reactive mesothelium (RM) is often difficult. Stereological analysis of nuclear luminance using centrifuged smear samples from coelomic fluid and discriminant analysis based on Mahalanobis distance may help to more accurately discriminate between MM and RM. In the present study, discriminant analysis was conducted on cytological specimens using the auto-smear method in a blinded manner with regard to histological results. Study Design: Coelomic fluid samples of 28 cases, cytologically diagnosed using the auto-smear method, were analyzed to determine pixel counts, the number of focus layers, 3-dimensional variation in the coefficient of variation of nuclear luminance between the focus layers as well as roundness in about 30-50 atypical cell nuclei per case. These measurements were employed to determine malignancy based on Mahalanobis distance. Results: Discrimination rates were as high as 91.7% for MM and 82.7% for RM. The discrimination rates of MM with histology were >80% in 8 of 10 suspicious cases with the initial cytology. Conclusion: Our method allowed accurate discrimination between MM and RM and provides a useful alternative for the diagnosis of suspicious cases where morphological diagnosis of malignancy is difficult.
“…We focused on the 3-dimensional structures of nuclei in cell smear specimens and reported objective discrimination using 3-dimensional and discriminant analyses of nuclei [4][5][6] . The nuclei of ASC-US cases in initial cytology were 3-dimensionally analyzed using liquid-based cytology (LBC) specimens prepared by the ThinPrep method.…”
<b><i>Objective:</i></b> To increase the accuracy of the diagnosis of atypical squamous cells of undetermined significance (ASC-US), ASC-US were divided into high-risk human papillomavirus (HPV HR+) and non-high-risk HPV (HPV HR-) cases to analyze the significance of binucleated cells with compression. <b><i>Study Design:</i></b> ThinPrep specimens of ASC-US were examined. This study included 21 CIN and HPV HR+ (CIN+), 19 benign and HPV HR- (B-) and 10 benign and HPV HR+ (B+) cases. The number of cells were examined by defining binucleated cells with their nuclei pressing against each other as positive compression, and their relation to the relative light units (RLUs) of the DNA Hybrid capture 2 (HC2) was determined. <b><i>Results:</i></b> 95.2% of CIN+ and 15.8% of B- cases were compression positive, while 4.8% of CIN+ and 84.2% of B- cases were compression negative, which was significantly different. The average number of cells with positive compression was 5.7 ± 5.3 in CIN+, 2.0 ± 0.7 in B- and 5.5 ± 1.5 in B+ cases, with significant differences between CIN+ and B- and between B- and B+ cases. The number of compression-positive cells increased as HPV HC2 RLUs became higher. <b><i>Conclusion:</i></b> Positive compression is useful in determining ASC-US with HPV HR+. The identification of positive compression is highly practical because it can be observed morphologically.
The emergence of the human brain is one of evolution’s most compelling mysteries. With its singular importance and astounding complexity, understanding the forces that gave rise to the human brain is a major undertaking. Recently, the identification and publication of the complete genomic sequence of humans, mice, chimpanzees, and macaques has allowed for large-scale studies looking for the genic substrates of this natural selection. These investigations into positive selection, however, have generally produced incongruous results. Here we consider some of these studies and their differences in methodologies with an eye towards how they affect the results. We also clarify the strengths and weaknesses of each of these approaches and discuss how these can be synthesized to develop a more complete understanding of the genetic correlates behind the human brain and the selective events that have acted upon them.
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