Evidence map›Paper›PMID 36865096›Full record

ArticlemedRxiv : the preprint server for health sciences2024

International Multi-Specialty Expert Physician Preoperative Identification of Extranodal Extension n Oropharyngeal Cancer Patients using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation.

Multidisciplinary Oropharyngeal Cancer Extra-Nodal Extension (OPC ENE) Assessment Working Group, Onur Sahin, Serageldin Kamel, Kareem A Wahid, Cem Dede, Nicolette Taku, Renjie He, Mohamed A Naser, Setareh Sharafi, Antti Mäkitie and 37 more

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In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

47 authors at 1 institution in 1 country.

Multidisciplinary Oropharyngeal Cancer Extra-Nodal Extension (OPC ENE) Assessment Working Group
Onur SahinThe University of Texas MD Anderson Cancer Center, Houston, USA.
Serageldin KamelThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-0046-4337
Kareem A WahidThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-0503-0175
Cem DedeThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-0543-9325
Nicolette TakuThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-2710-9404
Renjie HeThe University of Texas MD Anderson Cancer Center, Houston, USA.
Mohamed A NaserThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-1020-4966
Setareh SharafiThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-7560-2204
Antti MäkitieUniversity of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-0451-2404
Benjamin H KannBrigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.ORCID 0000-0002-4313-2754
Kimmo KaskiAalto University, Espoo, Finland.ORCID 0000-0002-3805-9687
Jaakko SahlstenAalto University, Espoo, Finland.ORCID 0000-0002-7364-6502
Joel JaskariAalto University, Espoo, Finland.ORCID 0000-0002-6154-2378
Moran AmitThe University of Texas MD Anderson Cancer Center, Houston, USA.
Gregory M ChronowskiThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-8878-7140
Eduardo M DiazThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-7268-5166
Adam S GardenThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-7926-2641
Ryan P GoepfertThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-3291-841X
Jeffrey P GuenetteBrigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.ORCID 0000-0002-4684-5469
G Brandon GunnThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-8197-0380
Jussi HirvonenTampere University, Faculty of Medicine and Health Technology and Tampere University Hospital, Tampere, Finland.ORCID 0000-0002-0368-3746
Frank HoebersBrigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.ORCID 0000-0002-4317-9181
Katherine A HutchesonThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-3710-5706
Nandita Guha-ThakurtaThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-3735-5361
Jason JohnsonThe University of Texas MD Anderson Cancer Center, Houston, USA.
Diana KayaThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-6494-855X
Shekhar D KhanparaThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-9127-196X
Kristofer NymanUniversity of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0003-4150-3141
Stephen Y LaiThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-8301-7286
Miriam LangoThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-0736-7473
Kim O LearnedThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-5125-4022
Anna LeeThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-9114-1815
Carol M LewisThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-6454-0960
Anastasios ManiakasThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-4354-2841
Amy C MorenoThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-6762-6807
Jeffery N MyersThe University of Texas MD Anderson Cancer Center, Houston, USA.
Jack PhanThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-5977-6004
Kristen B PytyniaThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-4471-6997
David I RosenthalThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-7124-7447
Vlad C SandulacheDepartment of Otolaryngology Head and Neck Surgery, Baylor College of Medicine, Houston, USA.ORCID 0000-0002-9205-385X
Dawid SchellingerhoutThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-3659-435X
Shalin J ShahThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-1622-8443
Andrew G SikoraThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-8357-8435
Abdallah S R MohamedThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-2064-7613
Melissa M ChenThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-3274-2653
Clifton D FullerThe University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-5264-3994
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Paul Calabresi Clinical Oncology AwardK12CA088084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI David S. Hong, Scott Kopetz · 2000 to 2026
$14.0M
Project 3: Inhibiting Oxidative Phosphorylation in Pancreatic CancerP50CA221707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT · 2019 to 2023
$11.0M
Image Guided Cancer Therapy Training ProgramT32CA261856 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kristy Brock, Clifton David Fuller · 2022 to 2026
$1.2M
Development of an artificial intelligence-driven, imaging-based platform for pretreatment identification of extranodal extension in head and neck cancerK08DE030216 · NIDCR · BRIGHAM AND WOMEN'S HOSPITAL · PI KANN, BENJAMIN HARRIS · 2021 to 2025
$841k
Rapid Anatomic and Quantitative MR Imaging of the Skull Base and FaceK08EB034299 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Jeffrey P Guenette · 2024 to 2026
$574k
Probabilistic Deep Learning Cervical Lymph-Node Auto-Segmentation For Imaging-enhanced Evaluation of Extracapsular Extension Risk (PDL-CLASIFIER)R03DE033550 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FULLER, CLIFTON DAVID, NASER, MOHAMED · 2024 to 2025
$499k
Provider and Patient-generated Remote Oro-Dental Health Electronic Data Capture for Algorithmic Longitudinal Evaluation and Risk-Assessment (PROHEALER)K01DE030524 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2022 to 2024
$479k
Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline for Oropharyngeal Cancer Radiotherapy Treatment GuidanceF31DE031502 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WAHID, KAREEM · 2021 to 2023
$68k
NCI NIH HHS K12 CA088084NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA221707NCI NIH HHS T32 CA261856NIBIB NIH HHS K08 EB034299NIDCR NIH HHS F31 DE031502NIDCR NIH HHS K01 DE030524NIDCR NIH HHS K08 DE030216NIDCR NIH HHS R03 DE033550
6 · The paper itself

Abstract

Importance: Extranodal extension (pENE) is a critical prognostic factor in oropharyngeal cancer (OPC) that drives therapeutic disposition. Determination of pENE from radiological imaging has been associated with high inter-observer variability. However, the impact of clinician specialty on human observer performance of imaging-detected extranodal extension (iENE) remains poorly understood. Objective: To characterize the impact of clinician specialty on the accuracy of pre-operative iENE in human papillomavirus-positive (HPV+) OPC using computed tomography (CT) images. Design Setting and Participants: This prospective observational human performance study analyzed pre-therapy CT images from 24 HPV+ OPC patients, with duplication of 6 scans (n=30) of which 21 were pathologically confirmed pENE. Thirty-four expert observers, including 11 radiologists, 12 surgeons, and 11 radiation oncologists, independently assessed these scans for iENE and reported human-detected radiologic criteria and observer confidence. Main Outcomes and Measures: The primary outcomes included accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and Brier score for each physician, compared to ground-truth pENE. The significance of radiographic signs for prediction of pENE were determined through logistic regression analysis. Fleiss' kappa measured interobserver agreement, and Hanley-MacNeil AUC discrimination testing. Results: Median accuracy across all specialties was 0.57 (95%CI 0.39 to 0.73), with no specialty showing discriminate performance greater than random estimation (median AUC 0.64, 95%CI 0.44 to 0.83). Significant differences between radiologists and surgeons in Brier scores (0.33 vs. 0.26, p < 0.01), radiation oncologists and surgeons in sensitivity (0.48 vs. 0.69, p > 0.1), and radiation oncologists and radiologists/surgeons in specificity (0.89 vs. 0.56, p > 0.1). Indistinct capsular contour and nodal necrosis were significant predictors of correct pENE status among all specialties. Interobserver agreement was weak for all the radiographic criteria, regardless of specialty ( Conclusions and Relevance: Multiobserver testing shows physician discrimination of HPV+OPC pENE on pre-operative CT remains non-different than blind guessing, with high interrater variability and low diagnostic accuracy, regardless of clinician specialty. While minor differences in diagnostic performance among specialties are noted, they do not significantly affect the overall poor agreement and discrimination rates observed. The findings underscore the need for further research into automated detection systems or enhanced imaging techniques to improve the accuracy and reliability of iENE assessments in clinical practice.

Identifiers

PMID36865096
PMCPMC9980252
OpenAlexW4322201522

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