Evidence map›Paper›PMID 23011022›Full record

ArticleDer Pathologe2012

[Application of digital pathology tools. An unusual case of non-Hodgkin lymphoma].

A-S K Meyer, F E Dallenbach, G Lienert, P Möller, J K Lennerz

Abstract readCase ReportsEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Pathologe, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

A-S K MeyerInstitut für Pathologie, Universität Ulm, Ulm.
F E Dallenbach
G Lienert
P Möller
J K Lennerz
Universität Ulm · DEPraxis · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, lymphoma diagnosis is based on a combination of morphology, immunophenotyping, and molecular testing. Using the example of an unusual case of malignant non-Hodgkin lymphoma, we show that improved visualization using digital pathology contributes to the convergence of these complementary diagnostic modalities. A 45-year-old woman presented with skin rash and cervical lymphadenopathy. Histological workup of an excised lymph node showed loss of normal architecture with diffuse infiltration and increased mitotic activity. Immunohistochemistry for CD3/CD5 showed atypical arrangement and infiltration of a T-cell population that dominated over regionally dense, MUM1-positive plasmacellular infiltrates. Expanded CD21/CD23-positive meshworks of follicular dendritic cells were present within and between regressed follicles and the T-cell infiltrate; staining for CD56 and cyclin-D1 was negative. Quantification of Ki-67 staining within the T-, B- and plasmacellular compartments was achieved by digital image conversion, overlay and subsequent quantification algorithms that revealed proliferation within more than 60% of T-cells, over 50% of plasma cells and only 20% of B-cells. Clonality analysis by PCR revealed monoclonal rearrangement for both T-cell receptor gamma chains and immunoglobulin heavy chains. Taken together, we present an unusual combination of an angioimmunoblastic T-cell lymphoma (AITL) and simultaneous plasmacellular lymphoma. This report demonstrates how application of modern tools of digital pathology can visually integrate unusual morphological and molecular findings.

Indexed as

Image EnhancementImmunophenotypingBiomarkers, TumorB-LymphocytesDiagnosis, DifferentialFemaleGene Rearrangement, T-LymphocyteHumansImmunoblastic LymphadenopathyImmunoglobulin Heavy ChainsInterferon Regulatory Factor-4Interferon Regulatory FactorsKi-67 AntigenLymph NodesLymphoma, T-Cell, CutaneousMiddle AgedBiomarkers, TumorImmunoglobulin Heavy ChainsInterferon Regulatory Factor-4Interferon Regulatory FactorsKi-67 AntigenReceptors, Antigen, T-Cell, gamma-delta

Identifiers

PMID23011022
OpenAlexW112765329

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.