Cytodiagnosis of extramedullary hematopoiesis in serous effusion: A rare presentation unfolding the underlying etiology

Kishore, Manjari; Gupta, Puneet; Malhotra, AK; Kumar, Vijay; Singh, Satnam; Bhardwaj, Minakshi

doi:10.4103/cytojournal.cytojournal_33_17

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The frequently used methods contain biochemical examination, tumor marker, exfoliated cell detection, flow cytometry, and telomerase activity assay. However, the detection rates of these methods are generally low, so it is often necessary to carry out repeated tests to get more accurate results [ 6 ]. Moreover, the traditional imaging detections such as X-ray, ultrasound, and computed tomography (CT) can only detect diseases by relying on morphological changes, and it is impossible to achieve more effective inspections for early disease [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Clone Selection Artificial Intelligence Algorithm-Based Positron Emission Tomography-Computed Tomography Image Information Data Analysis for the Qualitative Diagnosis of Serous Cavity Effusion in Patients with Malignant Tumors

Wei

Zhang

et al. 2021

Journal of Healthcare Engineering

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This study aimed to investigate the application of positron emission tomography- (PET-) computed tomography (CT) image information data combined with serous cavity effusion based on clone selection artificial intelligence algorithm in the diagnosis of patients with malignant tumors. A total of 97 patients with PET-CT scanning and empirically confirmed as serous cavity effusion were retrospectively analyzed in this study. The clone selection artificial intelligence algorithm was applied to register the PET-CT images, and the patients were rolled into a benign effusion group and a malignant effusion group according to the benign and malignant conditions of the serous cavity effusion. Besides, the causes of patients from the two groups were analyzed, and there was a comparison of their physiological conditions. Subsequently, CT values of different KeV, lipid/water, water/iodine, and water/calcium concentrations were measured, and the differences of the above quantitative parameters between benign and malignant serous cavity effusion were compared, as well as the registration results of the clone algorithm. The results showed that the registration time and misalignment times of clonal selection algorithm (13.88, 0) were lower than those of genetic algorithm (18.72, 8). There were marked differences in CT values of 40–60 keV and 130–140 keV between the two groups. The concentrations of lipid/water, water/iodine, and water/calcium in basal substances of the malignant effusion group were obviously higher than the concentrations of the benign effusion group ( P < 0.05 ). Benign and malignant effusions presented different manifestations in PET-CT, which was conducive to the further diagnosis of malignant tumors. Based on clone selection artificial intelligence algorithm, PET-CT could provide a new multiparameter method for the identification of benign and malignant serous cavity effusions and benign and malignant tumors.

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Section: Introductionmentioning

confidence: 99%

Clone Selection Artificial Intelligence Algorithm-Based Positron Emission Tomography-Computed Tomography Image Information Data Analysis for the Qualitative Diagnosis of Serous Cavity Effusion in Patients with Malignant Tumors

Wei

Zhang

et al. 2021

Journal of Healthcare Engineering

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Extramedullary Hematopoiesis in Serous Cavity Fluids: A Closer Look at This Rare Phenomenon With Diagnostic Pitfalls and Prognostic Significance

Sakshi,

Mallikarjuna,

Stewart

et al. 2024

Diagnostic Cytopathology

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BackgroundExtramedullary hematopoiesis (EMH) is usually seen in the reticuloendothelial system such as the spleen and liver; however, there have been rare case reports when EMH is seen in serous fluids (SFs). The aim of this study included analyzing the cytomorphological features of EMH in SFs in correlation with various clinicopathologic parameters and recognizing potential diagnostic pitfalls as well as their prognostic significance.MethodsClinicopathologic parameters and radiologic and pathologic information from the patients with a cytologic diagnosis of EMH were evaluated with cytology slides.ResultsThe cytomorphologic features of EMH and diagnostic pitfalls were evaluated. Seven patients with cytologically determined EMH in SF samples, including five pleural fluids, one ascitic fluid, and one cerebrospinal fluid, were identified over the past 20 years at a comprehensive cancer center. Their mean age was 67.5 years. Most patients (n = 5) had a history of advanced myelofibrosis.ConclusionsThis study uncovered methods to differentiate EMH from peripheral blood (PB) contamination in samples in the SF. PB contamination is an important differential for EMH, and cytomorphology remains a salient parameter for the diagnosis. The comparison of the number of red blood cells and white blood cells in the PB and SF helped to distinguish EMH from PB contamination when megakaryocytes were absent. The study showed that most patients died within a year of their EMH diagnosis in SF, suggesting a strong prognostic association of this finding with poor survival outcomes.

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Non-neoplastic conditions mimicking peritoneal carcinomatosis at CT imaging

Elmohr

Elsayes

Pickhardt

2020

The British Journal of Radiology

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The general appearance of peritoneal carcinomatosis at abdominal CT and other cross-sectional imaging modalities consists of varying amounts of peritoneal-based soft tissue implants (mass-forming or infiltrative), peritoneal fluid, and occasionally calcification. However, a wide variety of common and uncommon neoplastic and non-neoplastic conditions can closely mimic peritoneal carcinomatosis at imaging. Neoplastic mimics of peritoneal carcinomatosis include primary peritoneal and sub peritoneal tumors, as well as peritoneal lymphomatosis and sarcomatosis. Broad categories of non-neoplastic mimics of peritoneal carcinomatosis include tumor-like conditions, systemic processes, atypical infections, and fat-based conditions. For many entities, suggestive or specific patient information and/or CT imaging findings exist that may allow the radiologist to narrow the differential diagnosis. In this article, we review the salient clinical and cross-sectional imaging features of non-neoplastic mimics of peritoneal carcinomatosis and malignancy, with emphasis on the CT findings and the additional clues that may suggest the correct benign diagnosis.

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Cytodiagnosis of extramedullary hematopoiesis in serous effusion: A rare presentation unfolding the underlying etiology

Cited by 3 publications

References 11 publications

Clone Selection Artificial Intelligence Algorithm-Based Positron Emission Tomography-Computed Tomography Image Information Data Analysis for the Qualitative Diagnosis of Serous Cavity Effusion in Patients with Malignant Tumors

Clone Selection Artificial Intelligence Algorithm-Based Positron Emission Tomography-Computed Tomography Image Information Data Analysis for the Qualitative Diagnosis of Serous Cavity Effusion in Patients with Malignant Tumors

Extramedullary Hematopoiesis in Serous Cavity Fluids: A Closer Look at This Rare Phenomenon With Diagnostic Pitfalls and Prognostic Significance

Non-neoplastic conditions mimicking peritoneal carcinomatosis at CT imaging

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