Cytomorphology, clinicopathologic, and cytogenetics correlation of myelomatous effusion of serous cavities: A retrospective review

Harbhajanka, Aparna; Brickman, Arlen; Park, Ji-Weon; Reddy, Vijaya B.; Bitterman, Pincas; Gattuso, Paolo

doi:10.1002/dc.23523

Cited by 14 publications

(8 citation statements)

References 17 publications

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“…Pleural effusions are rarely associated with MM and most often signify a concurrent disease process. MPE are even more unusual, they occur in <1% of the cases, and carry a poor prognosis . The first case of pleural effusion and involvement of serous cavities in MM was reported in 1994 by Rodriguez et al Nevertheless, the incidence of PME could be higher than that reported by Kintzer et al and could depend on the method of detection.…”

Section: Discussionmentioning

confidence: 91%

“…The first case of pleural effusion and involvement of serous cavities in MM was reported in 1994 by Rodriguez et al Nevertheless, the incidence of PME could be higher than that reported by Kintzer et al and could depend on the method of detection. Indeed, modern methods such as flow cytometry could allow for the determination of the clonal nature of the disease …”

Section: Discussionmentioning

confidence: 99%

“…Pleural effusion (PE) may be a sign of thoracic involvement affecting about 6% of patients with MM . It is particularly rare (<1%) for MM patients to present with myelomatous pleural effusion (MPE), especially for those with PE as an initial sign .…”

Section: Introductionmentioning

confidence: 99%

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Cytology and clinical features of myelomatous pleural effusion: Three case reports and a review of the literature

Chen

Xie

et al. 2018

Diagnostic Cytopathology

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The purpose of this study was to report the clinical features, laboratory findings, and cytomorphology, and prognosis of three patients with myelomatous pleural effusion (MPE). The literature pertaining to MPE was reviewed. The three cases and literature review suggest that MPE is rare and often associated with a poor prognosis. The correct diagnosis depends on the aggressive clinical characteristics, laboratory findings, and chromosomal abnormalities, but routine pathological examination of the pleural effusion has low sensitivity. Cell blocks stained with hematoxylin & eosin and by immunohistochemistry revealed that abnormal proliferation of plasma cells and light chain restrictive expression in MPE may be helpful for improving the detection rate of MPE.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

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Cytology and clinical features of myelomatous pleural effusion: Three case reports and a review of the literature

Chen

Xie

et al. 2018

Diagnostic Cytopathology

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“…PEs due to plasma cells infiltration are rare, with approximately 80 cases reported worldwide [8,27,28]. It may result from extension of adjacent subcutaneous, skeletal, or parenchymal plasmocytomas into the pleural space [8,13].…”

Section: Discussionmentioning

confidence: 99%

Clinical and cytopathologic characteristics of lymphoid neoplasms involved with serous effusions: a single center experience

Gong

Shao

et al. 2020

Preprint

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Background: Lymphoid neoplasms in serous effusions (SEs) were uncommon. Currently, most reports of lymphoid neoplasms in SEs were from Western countries, but few reports were from China, and the details were still unclear. Methods: Between January 2004 and December 2019, lymphoid neoplasms diagnosed by cytological methods from specimens of pleural effusions (PEs), ascites, and pericardial effusions in our hospital were reviewed.Results: 59 patients of lymphoid neoplasms were diagnosed by SEs, the top three causes were diffuse large B-cell lymphoma (DLBCL) (n=21, 35.6%), myeloma (n=13, 22.0%), and T-lymphoblastic lymphoma (n=5, 8.5%). In PEs involved with DLBCL, the cytomorphology of DLBCL cells was variable, most PEs were present during tumor course (92.9%), bilateral PEs were the predominance (57.2%), and the median survival time was only 1.23 months after effusion. In PEs involved with myeloma, nearly all cases had a high ratio of immature to mature plasma cells (>1.0), IgA (36.4%) and light chain λ (36.4%) were the most frequently found. Bilateral PEs were easily found (90.9%), and the median survival time was only 1.4 months after effusion. Solitary plasmacytomas with myeloma infiltration in PEs seemed to have a better prognosis than that of plasma cell myeloma.Conclusion: Some differences are found between our patients and those from Western countries, and more studies involving different ethnic populations could help to elucidate the features of lymphoid neoplasms in SEs.

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“…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 ]. At this stage, medical diagnosis and treatment capabilities with the further advancement of E-health have been improved directly or indirectly from digital medical equipment to high-level information and knowledge sharing, and various digital imaging and postprocessing technologies make disease diagnosis more intuitive and accurate.…”

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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Cytomorphology, clinicopathologic, and cytogenetics correlation of myelomatous effusion of serous cavities: A retrospective review

Cited by 14 publications

References 17 publications

Cytology and clinical features of myelomatous pleural effusion: Three case reports and a review of the literature

Cytology and clinical features of myelomatous pleural effusion: Three case reports and a review of the literature

Clinical and cytopathologic characteristics of lymphoid neoplasms involved with serous effusions: a single center experience

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

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