American Journal of Clinical Pathology
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2.49
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#1Hikmet Can Çubukçu (Ankara University)H-Index: 4
#2Deniz Ilhan Topcu (Başkent University)H-Index: 1
Last. Ayşe Hande Arslan (Başkent University)H-Index: 1
view all 6 authors...
Objectives null The present study aimed to develop a clinical decision support tool to assist coronavirus disease 2019 (COVID-19) diagnoses with machine learning (ML) models using routine laboratory test results. null Methods null We developed ML models using laboratory data (n = 1,391) composed of six clinical chemistry (CC) results, 14 CBC parameter results, and results of a severe acute respiratory syndrome coronavirus 2 real-time reverse transcription-polymerase chain reaction as a gold stan...
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#1Alexa J. Siddon (Yale University)H-Index: 7
#2Steven H. Kroft (MCW: Medical College of Wisconsin)H-Index: 32
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#1Saba Fatima Ali (Roswell Park Cancer Institute)H-Index: 2
#2Adam Cloe (Quest Diagnostics)
Last. Joo Y. Song (City of Hope National Medical Center)H-Index: 19
view all 14 authors...
Objectives null Bone marrow collections are often difficult, and creating quality smears and touch preparations at the bedside can prove challenging. The objective of this study is to compare the quality of bone marrow specimens between unassisted and assisted bone marrow collections by a bone marrow technologist. null Methods null Data for this study were collected from 422 hematopathology reports over 14 months. We recorded the bone marrow quality of the different parts (aspirate smears, touch...
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#1Michael Laposata (UTMB: University of Texas Medical Branch)H-Index: 64
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OBJECTIVES This study qualitatively explored and described pathologists' attitudes toward patient interaction. METHODS In a survey to pathologists, we asked, "How interested would you be in meeting with patients to discuss their pathology report and show them microscopic images of their tissue?" Then, we asked "Why," followed by a free-text box. We asked pathologists to assume that their time would be adequately compensated and that patients' treating clinicians had already told them their diagn...
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#1Silvia Saumell Tutusaus (UTSW: University of Texas Southwestern Medical Center)
#2Elaina Pirruccello (UTSW: University of Texas Southwestern Medical Center)H-Index: 1
Last. Weina Chen (UTSW: University of Texas Southwestern Medical Center)H-Index: 37
view all 7 authors...
OBJECTIVES New B-cell markers are needed for monitoring B lymphoblastic leukemia (B-ALL) in the era of immunotherapies directed against CD19 and CD22. The expression of leukocyte immunoglobulin-like receptor subfamily B member 1 (LILRB1) on hematogones in bone marrow (BM) and neoplastic B lymphoblasts has not yet been systematically investigated. METHODS We assessed LILRB1 expression pattern on B cells in 19 control BMs and 22 B-ALL cases by flow cytometry. RESULTS In all cases, mature B cells a...
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OBJECTIVES Because published data about the variability of reticulocyte counts in children are scarce, the interindividual biological variability of the automated reticulocyte count and its maturation fractions according to age and sex were analyzed. METHODS A retrospective, observational, analytical study was designed to establish and compare normal values of the automated reticulocyte count and its maturation fractions in different age and sex groups. The sample was drawn from results of CBC c...
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#1Paul D. Simonson (Cornell University)H-Index: 7
#2Yue Wu (UW: University of Washington)H-Index: 9
Last. Aaron Y. Lee (UW: University of Washington)H-Index: 26
view all 5 authors...
OBJECTIVES Automated classification of flow cytometry data has the potential to reduce errors and accelerate flow cytometry interpretation. We desired a machine learning approach that is accurate, is intuitively easy to understand, and highlights the cells that are most important in the algorithm's prediction for a given case. METHODS We developed an ensemble of convolutional neural networks for classification and visualization of impactful cell populations in detecting classic Hodgkin lymphoma ...
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#1Ronald G. Hauser (Veterans Health Administration)H-Index: 10
#2Denise Esserman (Yale University)H-Index: 23
Last. Michal G. Rose (Veterans Health Administration)H-Index: 17
view all 8 authors...
BACKGROUND Chronic myelogenous leukemia (CML) is a clonal stem cell disorder accounting for 15% of adult leukemias. We aimed to determine if machine learning models could predict CML using blood cell counts prior to diagnosis. METHODS We identified patients with a diagnostic test for CML (BCR-ABL1) and at least 6 consecutive prior years of differential blood cell counts between 1999 and 2020 in the largest integrated health care system in the United States. Blood cell counts from different time ...
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OBJECTIVES: Due to the continued impact of coronovirus 2019 (COVID-19), residency programs were advised to offer virtual interviews in place of traditional in-person interviews for the 2021 match recruitment season null As a result, many pathology residency programs offered preinterview virtual open-house events to meet prospective applicants before the interview season null This article aims to understand applicants' perspective on those events during the residency recruitment season of 2020 to...
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