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Incidence of mammary intra-arterial calcification: an age-matched control study.

Mammary intra-arterial calcification (MIAC) was seen on the mammograms of 13 of 150 (8.7%) known diabetic patients and 21 of 300 (7.0%) age-matched control patients. Statistical analysis verified no significant difference between the rate of occurrence of MIAC in the diabetic group of patients and the control group. Therefore, contrary to previous reported studies, our study does not support the conclusion of an increased frequency of MIAC in diabetic patients. MIAC is a manifestation of peripheral vascular disease resulting from a variety of causes, one of which may be diabetes.

Adult

Automated cell analysis for DNA studies of large cell populations using the LEYTAS image cytometry system.

Image cytometry by means of LEYTAS features analysis of both fresh and archival cellular material. Although not as accurate in ploidy determination as flow cytometry, LEYTAS cytometry incorporates extensive artefact rejection algorithms, thereby allowing detection of low frequency cells. This feature is very useful for the search of rare cells, as e.g. in cervical screening, or for the quantitation of the number of high DNA content cells in the total cell sample. LEYTAS main components are an automated microscope (Autoplan) and a Modular Image Analysis Computer (MIAC), both from Wild Leitz (W-Germany). This paper discusses LEYTAS instrumentation and cell analysis by means of programs especially written for LEYTAS.

Algorithms

[The modular image analysis computer for assessment of prognosis in testicular tumors].

Since 1981 a total of 107 patients with non-seminomatous germ cell tumors of the testis (NSGCT) in clinical stage I were assigned to a "wait and see" protocol. At a median follow-up of 40 months (4-100) thirty seven pts. (35%) relapsed with 84% of these within the first year. Employing the Hedley-technique out of 50 primary tumor-tissues available nuclear suspensions were obtained, staining according to the DNA-Feulgen-procedure and evaluated by the modular image analysis computer (MIAC, Leitz, FRG). In 67% hyperpentaploidy was found in the cases with progression while only 23% exhibited a greater than 5c-rate in the NED-group. With logistic regression achieving a p-value of 0.0296 hyperpentaploidy has to be considered a significant prognosticator in NSGCT/CS I.

Dysgerminoma

Intra-amniotic infection: diagnosis, nomenclature, clinical significance, management, and microbiologic tools used for the diagnosis.

SUMMARYIntra-amniotic infection is the main cause of spontaneous preterm birth and adverse maternal-fetal outcomes; therefore, rapid, robust, and accurate diagnosis remains a clinical priority. Conventional microbiological techniques, especially culture-based methods, are limited by long turnaround times and the inability to detect fastidious or unculturable organisms. This review summarizes the diagnosis, nomenclature, clinical significance, management, and laboratory approaches for diagnosing intra-amniotic infection. Targeted nucleic acid amplification methods, including species-specific polymerase chain reaction and broad-range 16S rRNA gene sequencing, have improved the detection of bacterial DNA and enabled the identification of organisms that evade routine culture in intra-amniotic infection. More recently, whole-genome sequencing and metagenomic next-generation sequencing have provided culture-independent strategies for comprehensive pathogen profiling, allowing simultaneous detection of bacteria, viruses, and fungi, as well as characterization of antimicrobial resistance determinants and virulence-associated genes. However, challenges remain, particularly in low-biomass samples such as amniotic fluid, where contamination, host DNA background, and data interpretation can compromise specificity. This review critically evaluates the advantages and limitations of each molecular modality and discusses pre-analytical, analytical, and bioinformatic considerations essential for reliable implementation. Integration of molecular diagnostics into clinical workflows holds promise for improving etiological diagnosis and guiding targeted therapy in intra-amniotic infection, thereby improving maternal and fetal outcomes.

Humans