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Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or Volume

Tammemagi, Martin
Ritchie, Alex J.
Atkar-Khattra, Sukhinder
Dougherty, Brendan
Sanghera, Calvin
Mayo, John R.
Jacobs, C.
Ginneken, B. van
Tsao, Ming-Sound
Lam, Stephen

Publication date

January 2019

DOI

10.1016/j.jtho.2018.10.006

Publisher

Elsevier BV

Abstract

Contains fulltext : 201217.pdf (publisher's version ) (Closed access

Extracted data

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<div><p>It is estimated that over 1.5 million lung nodules are detected annually in the United State...

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Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol

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Abstract Introduction Lung cancer is a common cancer, with over 1.3 million cases worldwide each yea...

Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers

Van Riel, Sarah J.
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Dirksen, Asger
Lam, Stephen
Scholten, Ernst Th.
Rossi, Santiago E.
Sverzellati, Nicola
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Snoeren, Miranda
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Stephen W. Hunsucker (4031267)
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<div><p>It is estimated that over 1.5 million lung nodules are detected annually in the United State...

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Riel, S.J. van
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Lam, S.
Prokop, M.
Schaefer-Prokop, C.M.
Ginneken, B. van

January 2017

Contains fulltext : 181941.pdf (publisher's version ) (Open Access)OBJECTIVES: To ...

Developing and validating risk prediction approaches for the management of screen-detected pulmonary nodules

Creamer, Andrew William

July 2023

Pulmonary nodules are small focal opacities within the lung parenchyma. Whilst the majority represen...

Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT

Venkadesh, K.V.
Setio, A.A.A.
Schreuder, A.
Scholten, E.T.
Chung, K.
Wille, Mathilde M.Winkler
Ginneken, B. van
Prokop, M.
Jacobs, C.

January 2021

Contains fulltext : 236812.pdf (Publisher’s version ) (Closed access

Lung cancer risk to personalise annual and biennial follow-up computed tomography screening

Schreuder, A.
Schaefer-Prokop, C.M.
Scholten, E.T.
Jacobs, C.
Prokop, M.
Ginneken, B. van

January 2018

Contains fulltext : 198322pub.pdf (publisher's version ) (Closed access

Pulmonary Perifissural Nodules on CT Scans: Rapid Growth Is Not a Predictor of Malignancy

de Hoop, B.
Ginneken, B. van
Gietema, H.
Prokop, M.

January 2012

Item does not contain fulltextPurpose:To assess the prevalence, natural course, and malignancy rate ...

Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population

Chung, K.
Mets, Onno M.
Gerke, P.K.
Jacobs, C.
Harder, Annemarie M. den
Scholten, E.T.
Prokop, M.
Ginneken, B. van
Schaefer-Prokop, C.M.

January 2018

Contains fulltext : 195871.pdf (Publisher’s version ) (Closed access

Predicting Malignant Nodules from Screening CT Scans

Hawkins, Samuel
Wang, Hua
Liu, Ying
Garcia, Alberto
Stringfield, Olya
Krewer, Henry
Li, Qiang
Cherezov, Dmitry
Schabath, Matthew
Hall, Lawrence O.
Gillies, Robert J.

December 2016

Objectives The aim of this study was to determine whether quantitative analyses (“radiomics”) of low...

An integrated risk predictor for pulmonary nodules.

Paul Kearney
Stephen W Hunsucker
Xiao-Jun Li
Alex Porter
Steven Springmeyer
Peter Mazzone

It is estimated that over 1.5 million lung nodules are detected annually in the United States. Most ...

A critical appraisal of prognostic and predictive factors for common lung cancers.

Thunnissen, F.B.J.M.
Schuurbiers, O.C.J.
Bakker, M.A.H.

January 2006

Contains fulltext : 50413.pdf (publisher's version ) (Closed access

CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?

Schreuder, A.
Prokop, M.
Scholten, E.T.
Mets, Onno M.
Chung, K.
Mohamed Hoesein, Firdaus A.A.
Jacobs, C.
Schaefer-Prokop, C.M.

January 2021

Contains fulltext : 234393.pdf (Publisher’s version ) (Open Access

Probability of cancer in lung nodules using sequential volumetric screening up to 12 months: the UKLS trial

Marcus, Michael W
Duffy, Stephen W
Devaraj, Anand
Green, Beverley A
Oudkerk, Matthijs
Baldwin, David
Field, John

August 2019

BACKGROUND: Estimation of the clinical probability of malignancy in patients with pulmonary nodules ...

Diameter versus volumetry: A narrative review on current recommendations to measure and monitor screening detected lung nodules

Sartorio C.
Milanese G.
Ledda R. E.
Tringali G.
Balbi M.
Milone F.
Sverzellati N.
Silva M.

January 2021

Lung cancer (LC) is a leading cause of oncological death worldwide. Up to 70% of patients suffers fr...

Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocol

Jason L. Oke
Lyndsey C. Pickup
Jérôme Declerck
Matthew E. Callister
David Baldwin
Jennifer Gustafson
Heiko Peschl
Sarim Ather
Maria Tsakok
Alan Exell
Fergus Gleeson

November 2018

Abstract Introduction Lung cancer is a common cancer, with over 1.3 million cases worldwide each yea...

Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers

Van Riel, Sarah J.
Ciompi, Francesco
Winkler Wille, Mathilde M.
Dirksen, Asger
Lam, Stephen
Scholten, Ernst Th.
Rossi, Santiago E.
Sverzellati, Nicola
Naqibullah, Matiullah
Wittenberg, Rianne
Hovinga-De Boer, Marieke C.
Snoeren, Miranda
Peters-Bax, Liesbeth
Mets, Onno
Brink, Monique
Prokop, Mathias
Schaefer-Prokop, Cornelia
Van Ginneken, Bram

January 2017

Purpose: To compare human observers to a mathematically derived computer model for differentiation b...

An integrated risk predictor for pulmonary nodules

Paul Kearney (4031264)
Stephen W. Hunsucker (4031267)
Xiao-Jun Li (1718128)
Alex Porter (563150)
Steven Springmeyer (4031261)
Peter Mazzone (4031270)

May 2017

<div><p>It is estimated that over 1.5 million lung nodules are detected annually in the United State...

Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines

Riel, S.J. van
Ciompi, F.
Jacobs, C.
Wille, M.M.W.
Scholten, E.T.
Naqibullah, M.
Lam, S.
Prokop, M.
Schaefer-Prokop, C.M.
Ginneken, B. van

January 2017

Contains fulltext : 181941.pdf (publisher's version ) (Open Access)OBJECTIVES: To ...