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Multiple Myeloma: Modification and Adaptation of Plasma Cell Morphology Algorithm for the Prognosis of Congolese Patient
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作者 Jean Pierre Mufuta Ntolo Ritha Nyembu Kibambe +6 位作者 Luc Kapia Lunkamba Paola Bilonda Kalonji Blaise Sumbu Gustave Ilunga Ntita Jean Marie Mbuyi Muamba Jérémie Muwonga Madidi Donatien Kayembe Nzongola 《Open Journal of Blood Diseases》 2022年第2期29-38,共10页
Objectives: To determine the multiple myeloma (MM) prognostic formulas applicable in Congolese with many aberrant and/or immature plasma cells according to GOASGUEN’s plasma cell morphology algorithm (PMA). Methods: ... Objectives: To determine the multiple myeloma (MM) prognostic formulas applicable in Congolese with many aberrant and/or immature plasma cells according to GOASGUEN’s plasma cell morphology algorithm (PMA). Methods: The prospective, observational and descriptive study was carried out at the Ngaliema Clinic in Kinshasa from July 2016 to December 2019. The variables studied were the plasma cell types and the prognosis groups according to GOASGUEN and ZANDECKI. The nucleolus, the chromatin and the N/C ratio of 2 for each plasma cell encountered in multiple myeloma are examined in order by asking three successive questions as follows: 1) Is the nucleolus present? If yes, we denote 1;if not, note 0;2) Is the chromatin thin? If yes, we score 1;if not we score 0;3) The N/C ratio is greater than 6, if so, 1 is noted;if not, we note 0. We obtain a number with 3 successive digits preceded by the letter P for each plasma cell. Results: The overall rate of immature plasma cells and aberrant plasma cells in MM among Congolese was high at 26.6%. Their integration in the prognostic formulas showed for group A" = 22 patients, group B" = 5 patients and group C" = 32 patients. Examination of plasma cell types in the deceased showed that 14/17 had a P001 plasma cell count ≥ 15%. Conclusion: The high rate of aberrant and/or immature plasma cells, the P001 plasma cell type at a rate ≥ 15%, found mostly in group C" with poor prognosis, are responsible for the aggressive nature of MM in Congolese Blacks. 展开更多
关键词 Plasma Cell Morphology algorithm Plasma Cell Types Aberrant Plasma Cells Immature Plasma Cells Multiple Myeloma
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Non-Destructive Crack Detection of Preserved Eggs Using a Machine Vision and Multivariate Analysis 被引量:3
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作者 WANG Fang ZHANG Shu TAN Zuojun 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2017年第3期257-262,共6页
Pidan or century egg, also known as preserved egg, is one of the most traditional and popular egg products in China. The crack detection of preserved eggshell is very important to guarantee its quality. In this study,... Pidan or century egg, also known as preserved egg, is one of the most traditional and popular egg products in China. The crack detection of preserved eggshell is very important to guarantee its quality. In this study, we develop an image algorithm for preserved eggshell's crack detection by using natural light and polarized image. Four features including crack length, crack state coefficient, maximum projection and angular point are extracted from the natural light image by morphology calculus algorithms. The support vector machines(SVM) model with radial basis kernel function is established using the four features with an accuracy of about 92%. The detection accuracy is improved to 94% by using a new characteristic parameter of crack length on polarization image. The Multi-information fusion analysis indicates the potential for cracks detection by a real-time synthesis imaging system. 展开更多
关键词 preserved egg crack morphology calculus algorithms polarized light support vector machines(SVM) model
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