Histopathological image analysis : a review

Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and stored in digital image form. Consequently, digitized tissue histopathology has now become amenable to the application of computerized image analysis and machine learning techniques. Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis, and prognosis prediction to complement the opinion of the pathologist. In this paper, we review the recent state of the art CAD technology for digitized histopathology. This paper also briefly describes the development and application of novel image analysis technology for a few specific histopathology related problems being pursued in the United States and Europe

Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory

Background: Cell cooperation is a critical event during tissue development. We present the first precise metrics to quantify the interaction between mesenchymal stem cells (MSCs) and extra cellular matrix (ECM). In particular, we describe cooperative collagen alignment process with respect to the spatio-temporal organization and function of mesenchymal stem cells in three dimensions. Methodology/Principal Findings: We defined two precise metrics: Collagen Alignment Index and Cell Dissatisfaction Level, for quantitatively tracking type I collagen and fibrillogenesis remodeling by mesenchymal stem cells over time. Computation of these metrics was based on graph theory and vector calculus. The cells and their three dimensional type I collagen microenvironment were modeled by three dimensional cell-graphs and collagen fiber organization was calculated from gradient vectors. With the enhancement of mesenchymal stem cell differentiation, acceleration through different phases was quantitatively demonstrated. The phases were clustered in a statistically significant manner based on collagen organization, with late phases of remodeling by untreated cells clustering strongly with early phases of remodeling by differentiating cells. The experiments were repeated three times to conclude that the metrics could successfully identify critical phases of collagen remodeling that were dependent upon cooperativity within the cell population. Conclusions/Significance: Definition of early metrics that are able to predict long-term functionality by linking engineere

The relationship between financial reporting standards and accounting irregularities: evidence from US banks

Purpose: The purpose of this paper is to explore whether the choice of International Financial Reporting Standards (IFRS) vs Generally Accepted Accounting Principles (GAAP) is associated with the frequency and likelihood of accounting irregularities and fraud in US banks. Design/methodology/approach: The authors examine the relationship between financial reporting standards and accounting irregularities in publicly listed US banks. Using a sample of 4,284 banks with accounting irregularities observed in the USA over the period of 1996–2014. They used logit model to estimate the likelihood of corporate misreporting having been committed in terms of accounting irregularities. Findings: The authors show that banks that use US GAAP exhibit better operating performance than fraudulent banks that use IFRS except for certain variables. They also find that fraudulent banks are more likely to commit accounting irregularities when they have to follow IFRS and banks have relatively better bank performance. Practical implications: Overall, the empirical findings result consistent with Kohlbeck and Warfield’s (2010) find that accounting standards are linked to fewer accounting irregularities. Originality/value:In this study, accounting irregularities have a significant effect on bank performance during the Dodd–Frank period. It finds that banks that choose to use IFRS are more likely to have accounting irregularities and to engage in fraud

The Clinical Value of Flow Cytometric DNA Content Analysis in Patients with Soft Tissue Sarcomas

Purpose. The purpose of this study was to evaluate: (1) the correlation between grade and ploidy or S-phase fraction (SPF), (2) the prognostic value of DNA flow cytometric study in soft tissue sarcomas

EDTA INDUCED PSEUDOTHROMBOCYTOPENIA IN A PATIENT WITH HEPATITIS A INFECTION

Pseudotrombositopeni kanama riskinde artışa neden olmayan ve trombosit transfüzyonu gerektirmeyen bir iyatrojenik laboratuar fenomenidir. Etilendiaminotetraasetik asid'e (EDTA) bağlı pseudotrombositopeni, otomatik kan sayımında yalancı olarak trombosit sayısındaki azalmayı tanımlamaktadır. Kan örneklerinin EDTA ile antikoagule edilmesi sonucunda normal kişilerde oluşabileceği gibi farklı hastalıkların seyrinde de gözlenebilmektedir. Bu yazıda hepatit A infeksiyonu seyrinde gözlenen bir EDTA bağımlı pseudotrombositopeni olgusu sunulmuştur. Olgu halen devam eden pseudotrombositopeni nedeniyle izlenmektedir. Pseudothrombocytopenia is an iatrogenic laboratory phenomenon that does not increase the risk of bleeding or the need for platelet transfusion. The term ethylenediaminotetraacetic acid (EDTA) induced pseudothrombocytopenia, defines false low platelet count when measured with automatic counters. It may occur in both normal individuals and patients with a variety of diseases when their blood samples are anticoagulated with EDTA. Here we report a patient with EDTA induced pseudothrombocytopenia during the course of hepatitis A infection. The patient is still being followed up with pseudothrombocytopenia

Histopathological image analysis: a review,”

Abstract-Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and stored in digital image form. Consequently, digitized tissue histopathology has now become amenable to the application of computerized image analysis and machine learning techniques. Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis, and prognosis prediction to complement the opinion of the pathologist. In this paper, we review the recent state of the art CAD technology for digitized histopathology. This paper also briefly describes the development and application of novel image analysis technology for a few specific histopathology related problems being pursued in the United States and Europe

Colorectal neoplastic emergencies in immunocompromised patients: preliminary result from the Web-based International Register of Emergency Surgery and Trauma (WIRES-T trial)

Association of advanced age, neoplastic disease and immunocompromission (IC) may lead to surgical emergencies. Few data exist about this topic. Present study reports the preliminary data from the WIRES-T trial about patients managed for colorectal neoplastic emergencies in immunocompromised patients. The required data were taken from a prospective observational international register. The study was approved by the Ethical Committee with approval n. 17575; ClinicalTrials.gov Identifier: NCT03643718. 839 patients were collected; 753 (80.7%) with mild-moderate IC and 86 (10.3%) with severe. Median age was 71.9 years and 73 years, respectively, in the two groups. The causes of mild-moderate IC were reported such malignancy (753-100%), diabetes (103-13.7%), malnutrition (26-3.5%) and uremia (1-0.1%), while severe IC causes were steroids treatment (14-16.3%); neutropenia (7-8.1%), malignancy on chemotherapy (71-82.6%). Preoperative risk classification were reported as follow: mild-moderate: ASA 1-14 (1.9%); ASA 2-202 (26.8%); ASA 3-341 (45.3%); ASA 4-84 (11.2%); ASA 5-7 (0.9%); severe group: ASA 1-1 patient (1.2%); ASA 2-16 patients (18.6%); ASA 3-41 patients (47.7%); ASA 4-19 patients (22.1%); ASA 5-3 patients (3.5%); lastly, ASA score was unavailable for 105 cases (13.9%) in mild-moderate group and in 6 cases (6.9%) in severe group. All the patients enrolled underwent urgent/emergency surgery Damage control approach with open abdomen was adopted in 18 patients. Mortality was 5.1% and 12.8%, respectively, in mild-moderate and severe groups. Long-term survival data: in mild-moderate disease-free survival (median, IQR) is 28 (10-91) and in severe IC, it is 21 (10-94). Overall survival (median, IQR) is 44 (18-99) and 26 (20-90) in mild-moderate and severe, respectively; the same is for post-progression survival (median, IQR) 29 (16-81) and 28, respectively. Univariate and multivariate analyses showed as the only factor influencing mortality in mild-moderate and severe IC is the ASA score. Colorectal neoplastic emergencies in immunocompromised patients are more frequent in elderly. Sigmoid and right colon are the most involved. Emergency surgery is at higher risk of complication and mortality; however, management in dedicated emergency surgery units is necessary to reduce disease burden and to optimize results by combining oncological and acute care principles. This approach may improve outcomes to obtain clinical advantages for patients like those observed in elective scenario. Lastly, damage control approach seems feasible and safe in selected patients