Evidence map›Paper›PMID 36714453›Full record

ArticleJournal of pathology informatics2023

Diagnostic validation of a portable whole slide imaging scanner for lymphoma diagnosis in resource-constrained setting: A cross-sectional study.

Alex Mremi, Caroline Achola, Daniel Mbwambo, Erick Magorosa, Ismail D Legason, Dimitris Vavoulis, Claire El Mouden, Anna Schuh, Leah Mnango, AI-REAL Consortium

Open access · goldAbstract read
In one paragraph

Article in Journal of pathology informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 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

10 authors at 4 institutions in 3 countries.

Alex MremiAI-REAL Study, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Caroline AcholaAI-REAL Study, St Mary's Hospital Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
Daniel MbwamboAI-REAL Study, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Erick MagorosaAI-REAL Study, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Ismail D LegasonAI-REAL Study, St Mary's Hospital Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda.
Dimitris VavoulisMolecular Diagnostic Center, Department of Oncology, University of Oxford, Oxford, United Kingdom.
Claire El MoudenMolecular Diagnostic Center, Department of Oncology, University of Oxford, Oxford, United Kingdom.
Anna SchuhMolecular Diagnostic Center, Department of Oncology, University of Oxford, Oxford, United Kingdom.
Leah MnangoAI-REAL Study, Muhimbili National Hospital, Dar es Salaam, Tanzania.
AI-REAL Consortium
University of Oxford · GBAfrican Field Epidemiology Network · UGKilimanjaro Christian Medical Centre · TZMuhimbili National Hospital · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telepathology utilizing high-throughput static whole slide image scanners is proposed to address the challenge of limited pathology services in resource-restricted settings. However, the prohibitive equipment costs and sophisticated technologies coupled with large amounts of space to set up the devices make it impractical for use in resource-limited settings. Herein, we aimed to address this challenge by validating a portable whole slide imaging (WSI) device against glass slide microscopy (GSM) using lymph node biopsies from suspected lymphoma cases from Sub-Saharan Africa. Material and methods: This was part of a multicenter prospective case-control head-to-head comparison study of liquid biopsy against conventional pathology. For the portable WSI scanner validation, the study pathologists evaluated 105 surgical lymph node specimens initially confirmed by gold-standard pathology between February and December 2021. The tissues were processed according to standard protocols for Hematoxylin and Eosin (H&E) and Immunohistochemistry (IHC) staining by well-trained histotechnicians, then digitalized the H& E and IHC slides at each center. The digital images were anonymized and uploaded to a HIPAA-compliant server by the histotechnicians. Three study pathologists independently accessed and reviewed the images after a 6-week washout. The agreement between diagnoses established on GSM and WSI across the pathologists was described and measured using Cohens' kappa coefficient (κ). Results: On GSM, 65.5% (n=84) of specimens were lymphoma; 25% were classified as benign, while 9.5% were metastatic. Morphological quality assessment on GSM and WSI established that 79.8% and 53.6% of cases were of high quality, respectively. When diagnoses by GSM were compared to WSI, the overall concordance for various diagnostic categories was 93%, 100%, and 86% for lymphoma, metastases, and benign conditions respectively. The sensitivity and specificity of WSI for the detection of lymphoma were 95.2% and 85.7%, respectively, with an overall inter-observer agreement (κ) of 0.86; 95% CI (0.70-0.95). Conclusions: We demonstrate that mobile whole slide imaging (WSI) is non-inferior to conventional glass slide microscopy (GSM) for the primary diagnosis of malignant infiltration of lymph node specimens. Our results further provide proof of concept that mobile WSI can be adapted to resource-restricted settings for primary surgical pathology and would significantly improve patient outcomes.

Indexed as

BL, Burkitt LymphomaCAP, College of American PathologistsDLBCL, Diffuse Large B-cell LymphomaGSM, Glass slide microscopyH&E, Hematoxylin and Eosin stainingHL, Hodgkin’s LymphomaIHC, ImmunohistochemistryLMICs, Low-and-middle income countriesLymphoma diagnosisNPV, Negative predictive valuePortable whole slide imaging scannerPPV, Positive predictive valueResource-limited settingValidationWSI, Whole slide imaging

Identifiers

PMID36714453
PMCPMC9874079
OpenAlexW4313893371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.