Evidence map›Paper›PMID 39080402›Full record

ArticleScientific reports2024

Combination of optical coherence tomography-derived shape and texture features are associated with development of sub-foveal geographic atrophy in dry AMD.

Sudeshna Sil Kar, Hasan Cetin, Joseph Abraham, Sunil K Srivastava, Anant Madabhushi, Justis P Ehlers

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

6 authors.

Sudeshna Sil KarDepartment of Biomedical Engineering, Emory University, Atlanta, GA, USA.
Hasan CetinThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, 9500 Euclid Avenue/Desk i32, Cleveland, OH, 44195, USA.
Joseph AbrahamThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, 9500 Euclid Avenue/Desk i32, Cleveland, OH, 44195, USA.
Sunil K SrivastavaThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, 9500 Euclid Avenue/Desk i32, Cleveland, OH, 44195, USA.
Anant MadabhushiDepartment of Biomedical Engineering, Emory University, Atlanta, GA, USA. anantm@emory.edu.
Justis P EhlersThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, 9500 Euclid Avenue/Desk i32, Cleveland, OH, 44195, USA. ehlersj@ccf.org.

Funding

RESOURCE/SERVICE CORE C - MOLECULAR INFORMATICS MODULEP30EY025585 · NEI · CLEVELAND CLINIC LERNER COM-CWRU · PI Brian D Perkins · 2016 to 2026
$7.7M
Pathology CoreU54CA254566 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI WILLIS, JOSEPH EDWARD · 2020 to 2024
$5.0M
Computer-Assisted Histologic Evaluation of Cardiac Allograft RejectionR01HL151277 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MADABHUSHI, ANANT, MARGULIES, KENNETH BER · 2020 to 2023
$3.2M
Oral Cavity Quantitative Histomorphometric Risk Classifier (OHbIC) in Oral Cavity Squamous Cell Carcinoma (OC-SCC)R01CA249992 · NCI · EMORY UNIVERSITY · PI LEWIS, JAMES, MADABHUSHI, ANANT · 2021 to 2025
$3.2M
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
Prostate cancer risk stratification via computational 3D pathologyR01CA268207 · NCI · UNIVERSITY OF WASHINGTON · PI Jonathan T.C. Liu, Anant Madabhushi · 2022 to 2026
$3.1M
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1M
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
RADIOMIC APPROACHES TO IMPROVE TARGETING FOR ATRIAL FIBRILLATION CATHETER ABLATIONR01HL158071 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI BARNARD, JOHN, CHUNG, MINA KAY · 2021 to 2024
$2.9M
Novel Radiomics for Predicting Response to Immunotherapy for Lung CancerR01CA257612 · NCI · EMORY UNIVERSITY · PI Anant Madabhushi, Vamsidhar Velcheti · 2021 to 2026
$2.7M
RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
BLRD VA I01 BX004121National Heart, Lung and Blood Institute R01HL151277National Heart, Lung and Blood Institute R01HL158071NCI NIH HHS R01 CA202752NCI NIH HHS R01CA202752NCI NIH HHS R01 CA208236NCI NIH HHS R01CA208236NCI NIH HHS R01 CA216579NCI NIH HHS R01CA216579NCI NIH HHS R01 CA220581NCI NIH HHS R01CA220581NCI NIH HHS R01 CA249992NCI NIH HHS R01CA249992NCI NIH HHS R01 CA257612NCI NIH HHS R01CA257612NCI NIH HHS R01 CA268207NCI NIH HHS R01CA268207A1NCI NIH HHS U01 CA239055NCI NIH HHS U01CA239055NCI NIH HHS U01 CA248226NCI NIH HHS U01CA248226NCI NIH HHS U54 CA254566NCI NIH HHS U54CA254566NCRR NIH HHS C06 RR012463NCRR NIH HHS C06 RR12463-01NEI NIH HHS K23 EY022947NEI NIH HHS P30 EY025585NHLBI NIH HHS R01 HL151277NHLBI NIH HHS R01 HL158071NIBIB NIH HHS R43 EB028736NIBIB NIH HHS R43EB028736NIH-NEI P30 Core Gran IP30EY025585Office of the Assistant Secretary of Defense for Health Affairs Breast Cancer Research Program (W81XWH-19-1-0668), the Prostate Cancer Research Program (W81XWH-15-1-0558, W81XWH-20-1-0851), the Lung Cancer Research Program (W81XWH-18-1-0440, W81XWH-20-1-0595), the Peer Reviewed Cancer Research Program (W81XWH-18-1-0404, W81XWH-21-1-0345), the Kidney Precision Medicine Project (KPMP) Glue Grant and sponsored research agreements from Bristol Myers-Squibb, BoehriUnited States Department of Veterans Affairs Biomedical Laboratory Research and Development Service VA Merit Review Award IBX004121AUnrestricted Grants from The Research to Prevent Blindness, Inc (Cole Eye Institute), Cleveland Eye Bank Foundation awarded to the Cole Eye Institute (Cole Eye) IP30EY025585
6 · The paper itself

Abstract

Geographic atrophy (GA) is an advanced form of dry age-related macular degeneration (AMD) that leads to progressive and irreversible vision loss. Identifying patients with greatest risk of GA progression is important for targeted utilization of emerging therapies. This study aimed to comprehensively evaluate the role of shape-based fractal dimension features (

Indexed as

Disease ProgressionGeographic AtrophyRetinal Pigment EpitheliumTomography, Optical CoherenceAgedAged, 80 and overFemaleFovea CentralisHumansMacular DegenerationMaleMiddle AgedRetrospective StudiesFractal dimensionNon-neovascular age-related macular degenerationSpectral domain-optical coherence tomographySubfoveal geographic atrophy

Identifiers

PMID39080402
PMCPMC11289404

What Socratic 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 Socratic graph.