The utilization of the large unstained cell (LUC) parameter in lymphoid, haematopoietic and related tissue’s malignant neoplasms

Gamze Gök; Serpil Erdoğan; Erbay Asutay; Gülsen Yılmaz; Özcan Erel; Fatma Meriç Yılmaz

Article Details

The utilization of the large unstained cell (LUC) parameter in lymphoid, haematopoietic and related tissue’s malignant neoplasms

Authors:

Gamze Gök | Serpil Erdoğan | Erbay Asutay | Gülsen Yılmaz | Özcan Erel | Fatma Meriç Yılmaz

Publisher:

Prusa Medical Publishing

Main Topics:

Clinical Oncology | Haematological Tumours | Cancer Diagnosis

Journal:

The European Research Journal Vol.11 Issue 4, pp.732-740

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001350990

pISSN:

2149-3189

Keywords:

Abstract:

 Objectives: Large unstained cells LUCs are a differential count parameter reported by routine hematology analysis, and LUC percentages LUC reflect active lymphocytes and peroxidase-negative cells. We aimed the evaluate the LUC parameter in routine practice towards malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic, and related tissue. Methods: LUC analysis was performed with Siemens ADVIA 2120 Hematology System. Data were obtained from Ankara Bilkent City Hospitals laboratory information system. Results: A statistical difference in the LUC  data in the case of LUC  4.5 and LUC  4.5 among preliminary diagnoses was observed P0.001. According to the Kruskal-Wallis test, a statistical difference was observed between preliminary diagnosis and LUC  values P0.001. The One-way ANOVA test with Bonferroni correction was performed for post hoc multiple comparisons of the preliminary diagnosis among LUC. LUC was higher in Hodgkin Lymphoma patients than Myeloid leukaemia patients P0.002. LUC  was higher in the Lymphoid leukaemia patients than in the patients with Hodgkin lymphoma P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001. LUC was higher in patients with leukemia unspecified cell type than Hodgkin lymphoma P0.001, Follicular lymphoma P0.001, Non-follicular lymphoma P0.001, Mature T-Cell and Natural Killer Cell lymphomas P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Malignant immunoproliferative diseases P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001, Lymphoid leukaemia P0.001, Myeloid leukaemia P0.001, Other leukaemias of specified cell type patients P0.001. Conclusions: The present study underscores the importance of LUC in line with ICD-10 and may provide ideas for new research. Prospective studies including patient and control groups may be useful in assessing LUC.

 Objectives: Large unstained cells LUCs are a differential count parameter reported by routine hematology analysis, and LUC percentages LUC reflect active lymphocytes and peroxidase-negative cells. We aimed the evaluate the LUC parameter in routine practice towards malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic, and related tissue. Methods: LUC analysis was performed with Siemens ADVIA 2120 Hematology System. Data were obtained from Ankara Bilkent City Hospitals laboratory information system. Results: A statistical difference in the LUC  data in the case of LUC  4.5 and LUC  4.5 among preliminary diagnoses was observed P0.001. According to the Kruskal-Wallis test, a statistical difference was observed between preliminary diagnosis and LUC  values P0.001. The One-way ANOVA test with Bonferroni correction was performed for post hoc multiple comparisons of the preliminary diagnosis among LUC. LUC was higher in Hodgkin Lymphoma patients than Myeloid leukaemia patients P0.002. LUC  was higher in the Lymphoid leukaemia patients than in the patients with Hodgkin lymphoma P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001. LUC was higher in patients with leukemia unspecified cell type than Hodgkin lymphoma P0.001, Follicular lymphoma P0.001, Non-follicular lymphoma P0.001, Mature T-Cell and Natural Killer Cell lymphomas P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Malignant immunoproliferative diseases P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001, Lymphoid leukaemia P0.001, Myeloid leukaemia P0.001, Other leukaemias of specified cell type patients P0.001. Conclusions: The present study underscores the importance of LUC in line with ICD-10 and may provide ideas for new research. Prospective studies including patient and control groups may be useful in assessing LUC.

 Objectives: Large unstained cells LUCs are a differential count parameter reported by routine hematology analysis, and LUC percentages LUC reflect active lymphocytes and peroxidase-negative cells. We aimed the evaluate the LUC parameter in routine practice towards malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic, and related tissue. Methods: LUC analysis was performed with Siemens ADVIA 2120 Hematology System. Data were obtained from Ankara Bilkent City Hospitals laboratory information system. Results: A statistical difference in the LUC  data in the case of LUC  4.5 and LUC  4.5 among preliminary diagnoses was observed P0.001. According to the Kruskal-Wallis test, a statistical difference was observed between preliminary diagnosis and LUC  values P0.001. The One-way ANOVA test with Bonferroni correction was performed for post hoc multiple comparisons of the preliminary diagnosis among LUC. LUC was higher in Hodgkin Lymphoma patients than Myeloid leukaemia patients P0.002. LUC  was higher in the Lymphoid leukaemia patients than in the patients with Hodgkin lymphoma P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001. LUC was higher in patients with leukemia unspecified cell type than Hodgkin lymphoma P0.001, Follicular lymphoma P0.001, Non-follicular lymphoma P0.001, Mature T-Cell and Natural Killer Cell lymphomas P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Malignant immunoproliferative diseases P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001, Lymphoid leukaemia P0.001, Myeloid leukaemia P0.001, Other leukaemias of specified cell type patients P0.001. Conclusions: The present study underscores the importance of LUC in line with ICD-10 and may provide ideas for new research. Prospective studies including patient and control groups may be useful in assessing LUC.

 Objectives: Large unstained cells LUCs are a differential count parameter reported by routine hematology analysis, and LUC percentages LUC reflect active lymphocytes and peroxidase-negative cells. We aimed the evaluate the LUC parameter in routine practice towards malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic, and related tissue. Methods: LUC analysis was performed with Siemens ADVIA 2120 Hematology System. Data were obtained from Ankara Bilkent City Hospitals laboratory information system. Results: A statistical difference in the LUC  data in the case of LUC  4.5 and LUC  4.5 among preliminary diagnoses was observed P0.001. According to the Kruskal-Wallis test, a statistical difference was observed between preliminary diagnosis and LUC  values P0.001. The One-way ANOVA test with Bonferroni correction was performed for post hoc multiple comparisons of the preliminary diagnosis among LUC. LUC was higher in Hodgkin Lymphoma patients than Myeloid leukaemia patients P0.002. LUC  was higher in the Lymphoid leukaemia patients than in the patients with Hodgkin lymphoma P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001. LUC was higher in patients with leukemia unspecified cell type than Hodgkin lymphoma P0.001, Follicular lymphoma P0.001, Non-follicular lymphoma P0.001, Mature T-Cell and Natural Killer Cell lymphomas P0.001, Other and unspecified types of non-Hodgkin lymphoma P0.001, Malignant immunoproliferative diseases P0.001, Multiple myeloma and malignant plasma cell neoplasms P0.001, Lymphoid leukaemia P0.001, Myeloid leukaemia P0.001, Other leukaemias of specified cell type patients P0.001. Conclusions: The present study underscores the importance of LUC in line with ICD-10 and may provide ideas for new research. Prospective studies including patient and control groups may be useful in assessing LUC.

Article Details

The utilization of the large unstained cell (LUC) parameter in lymphoid, haematopoietic and related tissue’s malignant neoplasms

Authors:

Gamze Gök | Serpil Erdoğan | Erbay Asutay | Gülsen Yılmaz | Özcan Erel | Fatma Meriç Yılmaz

Publisher:

Prusa Medical Publishing

Main Topics:

Clinical Oncology | Haematological Tumours | Cancer Diagnosis

Journal:

The European Research Journal Vol.11 Issue 4, pp.732-740

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001350990

pISSN:

2149-3189

Large unstained cells (LUCs)

Siemens ADVIA 2120

complete blood cell count

ICD-10

neoplasms

Issues

Article Details

The utilization of the large unstained cell (LUC) parameter in lymphoid, haematopoietic and related tissue’s malignant neoplasms

Authors: Gamze Gök | Serpil Erdoğan | Erbay Asutay | Gülsen Yılmaz | Özcan Erel | Fatma Meriç Yılmaz

Publisher: Prusa Medical Publishing

Main Topics: Clinical Oncology | Haematological Tumours | Cancer Diagnosis

Journal: The European Research Journal Vol.11 Issue 4, pp.732-740

Document Type: Article

Publication Date: 4/2025

Document Language: English

Document ID (Org No.): 2001350990

pISSN: 2149-3189

Large unstained cells (LUCs)

Siemens ADVIA 2120

complete blood cell count

ICD-10

neoplasms

Issues

Authors:

Gamze Gök | Serpil Erdoğan | Erbay Asutay | Gülsen Yılmaz | Özcan Erel | Fatma Meriç Yılmaz

Publisher:

Prusa Medical Publishing

Main Topics:

Clinical Oncology | Haematological Tumours | Cancer Diagnosis

Journal:

The European Research Journal Vol.11 Issue 4, pp.732-740

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001350990

pISSN:

2149-3189