Coming Back to the Basics. Comment on Cangir et al. A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors. Diagnostics 2022, 12, 416-Reference-Cited by-同舟云学术

Coming Back to the Basics. Comment on Cangir et al. A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors. Diagnostics 2022, 12, 416

Published:2023-11-21 Issue:23 Volume:13 Page:3489
ISSN:2075-4418
Container-title:Diagnostics
language:en
Short-container-title:Diagnostics

Author:

Perrella Armando¹,Bagnacci Giulio¹^ORCID,Di Meglio Nunzia¹,Di Martino Vito¹,Bellan Cristiana²^ORCID,Luzzi Luca³,Mazzei Maria Antonietta¹^ORCID,Volterrani Luca¹

Affiliation:

1. Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy

2. Unit of Pathological Anatomy and Histology, Department of Medical Biotechnologies, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy

3. Thoracic Surgery Unit, Department of Medical, Surgical and Neuro Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy

Abstract

We read with great interest the article by Cangir et al., “A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors”, published on 5 February 2022 [...]

Publisher

MDPI AG

Subject

Clinical Biochemistry

Link

https://www.mdpi.com/2075-4418/13/23/3489/pdf

Reference5 articles.

1. Cangir, A.K., Orhan, K., Kahya, Y., Uğurum Yücemen, A., Aktürk, İ., Ozakinci, H., Gursoy Coruh, A., and Dizbay Sak, S. (2022). A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors. Diagnostics, 12.

2. Solitary pulmonary nodule: Characterization with combined wash-in and washout features at dynamic multi-detector row CT;Jeong;Radiology,2005

3. Quantitative CT perfusion measurements in characterization of solitary pulmonary nodules: New insights and limitations;Mazzei;Recent. Progress. Med.,2013

4. Washout-Computed Tomography Discriminates Pulmonary “Fat-poor” Hamartomas From Neuroendocrine Neoplasms: A Simple Method in the Radiomics Era;Volterrani;J. Thorac. Imaging,2023

5. Artificial intelligence: A critical review of applications for lung nodule and lung cancer;Chassagnon;Diagn. Interv. Imaging,2023

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1. Reply to Perrella et al. Coming Back to the Basics. Comment on “Cangir et al. A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors. Diagnostics 2022, 12, 416”;Diagnostics;2023-11-21