Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Abdominal Paraaortic Lymphadenopathy With Progressive Transformation of Germinal Centers.

Pediatrics international : official journal of the Japan Pediatric Society·2026
Same author

Adult T-cell leukaemia/lymphoma with different histological features in a single lymph node.

Journal of clinical and experimental hematopathology : JCEH·2026
Same author

Fibrin-associated large B-cell lymphoma arising in benign gynecologic tumors: insights into disease spectrum expansion and pathophysiology.

Virchows Archiv : an international journal of pathology·2026
Same author

[Successful treatment with brentuximab vedotin for MYC positive syncytial variant nodular sclerosis Hodgkin lymphoma].

[Rinsho ketsueki] The Japanese journal of clinical hematology·2026
Same author

A case of primary testicular adult T-cell leukemia/lymphoma (ATLL): ATLL of immune privileged site.

Journal of clinical and experimental hematopathology : JCEH·2025
Same author

Cortical surface electric field estimation for real-time TMS with graph neural networks.

Physics in medicine and biology·2025

Related Experiment Video

Updated: Jul 8, 2025

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
07:52

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

19.8K

The Detection of Neoplastic Cells Using Objective Cytomorphologic Parameters in Malignant Lymphoma.

Miharu Nagaishi1, Hiroaki Miyoshi1, Mauricio Kugler2

  • 1Department of Pathology, Kurume University, School of Medicine, Kurume, Japan.

Laboratory Investigation; a Journal of Technical Methods and Pathology
|December 13, 2023
PubMed
Summary

Quantitative analysis of cell nuclei in lymphoma subtypes identified distinct features for diffuse large B-cell lymphoma (DLBCL). This approach offers a reproducible method for objective diagnosis, improving accuracy in differentiating lymphomas.

Keywords:
artificial intelligencelymphomapathology

More Related Videos

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence
10:29

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence

Published on: August 14, 2019

10.6K
Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
14:04

Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents

Published on: March 25, 2016

15.3K

Related Experiment Videos

Last Updated: Jul 8, 2025

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
07:52

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

19.8K
Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence
10:29

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence

Published on: August 14, 2019

10.6K
Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
14:04

Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents

Published on: March 25, 2016

15.3K

Area of Science:

  • Hematopathology
  • Computational Pathology
  • Digital Pathology

Background:

  • Pathologic evaluation is critical for diagnosing malignant lymphomas, but lacks standardized criteria for morphology assessment.
  • Objective quantification of cellular features is needed to improve diagnostic accuracy and reproducibility in lymphoma subtyping.

Purpose of the Study:

  • To develop and validate a quantitative method for differentiating lymphoma subtypes based on nuclear morphology.
  • To identify specific morphologic parameters that distinguish diffuse large B-cell lymphoma (DLBCL) from other lymphoid lesions.

Main Methods:

  • Manual identification and measurement of 17 nuclear morphologic parameters in lesions from 10 patients with DLBCL, follicular lymphoma, and reactive lymphadenitis.
  • Statistical comparison of parameters between subtypes and application of t-distributed stochastic neighbor embedding for feature extraction.
  • Development of a decision tree classifier and validation using 5-fold cross-validation.

Main Results:

  • Statistically significant differences in nuclear morphology parameters were observed between lymphoma subtypes.
  • A distinct cluster of DLBCL cells was identified, characterized by specific features not present in follicular lymphoma or reactive lymphadenitis.
  • The decision tree achieved high diagnostic performance: 84.1% sensitivity, 98.4% specificity, and 97.3% accuracy.

Conclusions:

  • Quantitative analysis of nuclear morphology provides objective indicators for differentiating lymphoma subtypes.
  • Key parameters like Area, ConcaveCount, MaxGray, and ModeGray are important for identifying DLBCL.
  • This quantitative approach has the potential to serve as a reproducible and flexible diagnostic tool in hematopathology.