Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery

Farideh Hosseinzadeh; George Liu; Esmond Tsai; Ahmad Mahmoudi; Angela Yang; Dayoung Kim; Maxime Fieux; Lirit Levi; Soraya Abdul-Hadi; Nithin D Adappa; Jeremiah A Alt; Khaled A Altartoor; Norbert Banyi; Megana Challa; Rakesh Chandra; Michael T Chang; Philip G Chen; Do-Yeon Cho; Camila Rios de Choudens; Naweed Chowdhury; Clariliz Munet Colon; John M DelGaudio; Anthony Del Signore; Christina Dorismond; Daniel Dutra; Shaun Edalati; Thomas S Edwards; Jose Busquets Ferriol; Mathew Geltzeiler; Christos Georgalas; Satish Govindaraj; Jessica W Grayson; David A Gudis; Richard J Harvey; Austin Heffernan; Peter H Hwang; Alfred Marc Iloreta; Nicolaus D Knight; Michael A Kohanski; David K Lerner; Argyro Leventi; Lik Hang Lee; Rory Lubner; Chengetai Mahomva; Conner Massey; Edward D McCoul; Jayakar V Nayak; Ezra Pak-Harvey; James N Palmer; Vivek C Pandrangi; Alkis J Psaltis; Joseph Raviv; Peta Sacks; Ray Sacks; Madeleine Schaberg; Ethan Soudry; Auddie Sweis; Andrew Thamboo; Justin H Turner; Steve X Wang; Sarah K Wise; Bradford A Woodworth; Peter-John Wormald; Zara M Patel

doi:10.1038/s43856-025-01134-9

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Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery

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Peer reviewed

Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery

Farideh Hosseinzadeh, George Liu, Esmond Tsai, Ahmad Mahmoudi, Angela Yang, Dayoung Kim, Maxime Fieux, Lirit Levi, Soraya Abdul-Hadi, Nithin D Adappa, …

Communications medicine, Vol.5(1), pp.419-7

2025-10-08

DOI: https://doi.org/10.1038/s43856-025-01134-9

PMID: 41062640

Appears in Miller School of Medicine - Latest Publications

Abstract

In benign tumors with potential for malignant transformation, sampling error during pre-operative biopsy can significantly change patient counseling and surgical planning. Sinonasal inverted papilloma (IP) is the most common benign soft tissue tumor of the sinuses, yet it can undergo malignant transformation to squamous cell carcinoma (IP-SCC), for which the planned surgery could be drastically different. Artificial intelligence (AI) could potentially help with this diagnostic challenge. CT images from 19 institutions were used to train the Google Cloud Vertex AI platform to distinguish between IP and IP-SCC. The model was evaluated on a holdout test dataset of images from patients whose data were not used for training or validation. Performance metrics of area under the curve (AUC), sensitivity, specificity, accuracy, and F1 were used to assess the model. Here we show CT image data from 958 patients and 41099 individual images that were labeled to train and validate the deep learning image classification model. The model demonstrated a 95.8 % sensitivity in correctly identifying IP-SCC cases from IP, while specificity was robust at 99.7 %. Overall, the model achieved an accuracy of 99.1%. A deep automated machine learning model, created from a publicly available artificial intelligence tool, using pre-operative CT imaging alone, identified malignant transformation of inverted papilloma with excellent accuracy.

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Title: Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery
Creators: Farideh Hosseinzadeh - Stanford University
George Liu - Stanford University School of Medicine
Esmond Tsai - Stanford University
Ahmad Mahmoudi - Stanford University
Angela Yang - Stanford University
Dayoung Kim - Stanford University
Maxime Fieux - Stanford University
Lirit Levi - Stanford University
Soraya Abdul-Hadi - University of Puerto Rico System
Nithin D Adappa - University of Pennsylvania
Jeremiah A Alt - University of Utah
Khaled A Altartoor - Emory University
Norbert Banyi - University of British Columbia
Megana Challa - The University of Texas Health Science Center at San Antonio
Rakesh Chandra - Vanderbilt University
Michael T Chang - Stanford University
Philip G Chen - The University of Texas Health Science Center at San Antonio
Do-Yeon Cho - University of Alabama at Birmingham
Camila Rios de Choudens - Department of Otolaryngology-Head & Neck Surgery, University of Puerto Rico School of Medicine, San Juan, PR, USA
Naweed Chowdhury - Vanderbilt University
Clariliz Munet Colon - University of Puerto Rico System
John M DelGaudio - Emory University
Anthony Del Signore - Icahn School of Medicine at Mount Sinai
Christina Dorismond - Vanderbilt University
Daniel Dutra - The University of Adelaide
Shaun Edalati - Icahn School of Medicine at Mount Sinai
Thomas S Edwards - Emory University
Jose Busquets Ferriol - University of Puerto Rico System
Mathew Geltzeiler - Oregon Health & Science University
Christos Georgalas - University of Nicosia
Satish Govindaraj - Icahn School of Medicine at Mount Sinai
Jessica W Grayson - University of Alabama at Birmingham
David A Gudis - Columbia University
Richard J Harvey - Macquarie University
Austin Heffernan - University of British Columbia
Peter H Hwang - Stanford University
Alfred Marc Iloreta - Icahn School of Medicine at Mount Sinai
Nicolaus D Knight - University of Alabama at Birmingham
Michael A Kohanski - University of Pennsylvania
David K Lerner - Icahn School of Medicine at Mount Sinai
Argyro Leventi - University of Nicosia
Lik Hang Lee - St. Paul's Hospital
Rory Lubner - Vanderbilt University
Chengetai Mahomva - University of South Dakota
Conner Massey - University of Utah
Edward D McCoul - Ochsner Health System
Jayakar V Nayak - Stanford University
Ezra Pak-Harvey - Emory University
James N Palmer - University of Pennsylvania
Vivek C Pandrangi - Oregon Health & Science University
Alkis J Psaltis - The University of Adelaide
Joseph Raviv - Endeavor Charter School
Peta Sacks - Macquarie University
Ray Sacks - University of Sydney, Sydney, Australia
Madeleine Schaberg - Icahn School of Medicine at Mount Sinai
Ethan Soudry - Tel Aviv University
Auddie Sweis - Endeavor Charter School
Andrew Thamboo - University of British Columbia
Justin H Turner - University of Alabama at Birmingham
Steve X Wang - Ochsner Health System
Sarah K Wise - Emory University
Bradford A Woodworth - University of Alabama at Birmingham
Peter-John Wormald - Department of Otolaryngology-Head and Neck Surgery, Central Adelaide Local Head Network and University of Adelaide, Adelaide, Australia
Zara M Patel - Stanford University
Publication Details: Communications medicine, Vol.5(1), pp.419-7
Publisher: SPRINGERNATURE; LONDON
Number of pages: 7
Grant note: GlycoMiraGlaxo Smith KlineSanofi/Regeneron and Lyra TherapeuticsGlaxoSmithKlineSanofi-Aventis US LLCAstraZenecaStrykerEquity in SoundHealthEquity in SpirAir Inc
N.D.A.: consultant/advisory board for: 3-D Matrix, Acclarent, Optinose J.A.A:. consultant for Medtronic and Optinose, equity and consultant GlycoMira, speaker for Glaxo Smith Kline, advisory board Sanofi. R.C.: consultant for Optinose, Sanofi/Regeneron and Lyra Therapeutics. M.T.C:. consultant for SoundHealth, Korust Co. P.G.C.: consultant for Medtronic, speaker for Optinose and GlaxoSmithKline, research funding from Aerin Medical C.D.: consultant for Myelin Healthcare. T.S.E.: research support from Sanofi-Aventis US LLC and Regeneron Pharmaceuticals Inc. M.F.: consultant for Sanofi, GlaxoSmithKline and AstraZeneca. M.G.: consultant for: Medtronic, Stryker. D.A.G.: consultant for Pocket Naloxone, P.H.H.: consultant for: Medtronic, Stryker; Equity in SoundHealth, J.V.N.: consultant for: Aerin Medical, SoundHealth; Equity in SpirAir Inc, J.N.P.: consultant/advisory board for: 3-D Matrix, Acclarent, Optinose, A.J.P.: consultant for Medtronic, Tissium, Fusetec, speaker's bureau Sequiris, GSK, Sanofi, equity in Chitogel, J.R.: consultant for Storz, Spirair, Equity in SoundHealth, Z.M.P.: consultant/advisory board for: Medtronic, Dianosic, Optinose, Mediflix, ConsumerMedical; Equity in Olfera Therapeutics, SoundHealth, Wyndly.
Academic Unit: UMMG Department of Otolaryngology; Miller School of Medicine
Language: English
Resource Type: Journal article
PMID: 41062640
Record Identifier: 991032828758302976