Published March 2022 | Version v1
Journal article

CT texture analysis-based nomogram for the preoperative prediction of visceral pleural invasion in cT1N0M0 lung adenocarcinoma: an external validation cohort study

  • 1. Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan (China)
  • 2. Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei (China)
  • 3. Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan (China)
  • 4. Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan (China)

Description

Highlights: • Determining the visceral pleural invasion (VPI) status can be a challenging task. • A reliable nomogram based on CT texture features was developed to predict VPI. • The nomogram was validated with good calibration and discrimination. • Potentially reliable tool for individual evaluations and clinical decision-making. To develop a nomogram based on computed tomography (CT) texture analysis for the preoperative prediction of visceral pleural invasion in patients with cT1N0M0 lung adenocarcinoma.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.crad.2021.11.008

Additional details

Identifiers

DOI
10.1016/j.crad.2021.11.008;
PII
S0009926021005377;

Publishing Information

Journal Title
Clinical Radiology
Journal Volume
77
Journal Issue
3
Journal Page Range
vp.
ISSN
0009-9260
CODEN
CLRAAG

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53113093
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
CARCINOMAS; COMPUTERIZED TOMOGRAPHY; EVALUATION; LUNGS; NOMOGRAMS; PATIENTS; VALIDATION
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DIAGRAMS; DISEASES; INFORMATION; NEOPLASMS; ORGANS; RESPIRATORY SYSTEM; TESTING; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2021 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.