Evidence map›Paper›PMID 37294412›Full record

ArticleHead and neck pathology2023

Exploration of Digital Image Analysis for Ki67 Quantification in the Grading of Medullary Thyroid Carcinoma: A Pilot Study with 85 Cases.

David Blake Behrman, Daniel J Lubin, Kelly Magliocca, Qiuying Shi, Kartik Viswanathan

Open access · greenAbstract read
In one paragraph

Article in Head and neck pathology, 2023. 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
0.4field-weighted citation impact, top 34% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
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 1 country.

David Blake BehrmanDepartment of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA.
Daniel J LubinDepartment of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA.
Kelly MaglioccaDepartment of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA.
Qiuying ShiDepartment of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA.
Kartik ViswanathanDepartment of Pathology, Emory University Hospital Midtown, Atlanta, GA, USA. kartik.viswanathan@emory.edu.ORCID http://orcid.org/0000-0003-0031-0001
Emory University Hospital Midtown · USEmory Healthcare · US

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Suresh S Ramalingam · 2009 to 2026
$47.5M
NCI NIH HHS P30 CA138292
6 · The paper itself

Abstract

backgroundAlthough uncommon, medullary thyroid carcinoma (MTC) accounts for a significant proportion of thyroid cancer deaths. Recent studies have validated the two-tier International Medullary Thyroid Carcinoma Grading System (IMTCGS) to predict clinical outcomes. A 5% Ki67 proliferative index (Ki67PI) cut-off separates low-grade from high-grade MTC. In this study, we compared digital image analysis (DIA) to manual counting (MC) for determining the Ki67PI in a MTC cohort, and explored the challenges encountered.

methodsAvailable slides from 85 MTCs were reviewed by two pathologists. The Ki67PI was documented by immunohistochemistry for each case, scanned with the Aperio® slide scanner at 40× magnification, and quantified using the QuPath® DIA platform. The same hotspots were screenshot, printed in color, and blindly counted. For each case, over 500 MTC cells were counted. Each MTC was graded using IMTCGS criteria.

resultsIn our MTC cohort (n = 85), 84.7 and 15.3% were low- and high-grade with the IMTCGS. In the entire cohort, QuPath® DIA performed well (R

conclusionOur study highlights the utility of DIA in quantifying Ki67PI for MTC and can serve as an adjunct for grading in conjunction with the other criteria of mitotic activity and necrosis.

Indexed as

Carcinoma, NeuroendocrineThyroid NeoplasmsHumansKi-67 AntigenPilot ProjectsPrognosisKi-67 AntigenDigital image analysisInternational grading systemKi67Manual countingMedullary thyroid carcinomaThyroid

Identifiers

PMID37294412
PMCPMC10514252
OpenAlexW4379967083

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.