Literature DB >> 21616236

Lung nodules in pediatric oncology patients: a prediction rule for when to biopsy.

Zaria Murrell1, Belinda Dickie, Roshni Dasgupta.   

Abstract

PURPOSE: The purpose of the study was to develop a prediction rule regarding the factors that most accurately predict the diagnosis of a malignancy in a lung nodule in the pediatric oncology patient.
METHODS: A retrospective review of pediatric oncology patients that underwent lung nodule resection between 1998 and 2007 was performed. Multivariable logistic regression was used to create a prediction rule.
RESULTS: Fifty pediatric oncology patients underwent 21 thoracotomies and 48 thoracoscopies to resect discrete lung nodules seen on computed tomographic scans during workup for metastasis or routine surveillance. The mean nodule size was 10.43 ± 7.08 mm. The most significant predictors of malignancy in a nodule were peripheral location (odds ratio [OR], 9.1); size between 5 and 10 mm (OR, 2.78); location within the right lower lobe (OR, 2.43); and patients with osteosarcoma (OR, 10.8), Ewing sarcoma (OR, 3.05), or hepatocellular carcinoma (OR, 2.38).
CONCLUSIONS: Lesions that are between 5 and 10 mm in size and peripherally located in patients with osteosarcoma, Ewing sarcoma, or hepatocellular carcinoma are most likely to be malignant. Use of a prediction rule can help guide clinical practice by determining which patients should undergo surgical resection of lung nodules and which patients may be closely observed with continued radiologic studies.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21616236     DOI: 10.1016/j.jpedsurg.2011.02.011

Source DB:  PubMed          Journal:  J Pediatr Surg        ISSN: 0022-3468            Impact factor:   2.545


  5 in total

1.  CORR Insights®: What Is the Clinical Importance of Incidental Findings on Staging CT Scans in Patients With Sarcoma?

Authors:  Jonathan A Forsberg
Journal:  Clin Orthop Relat Res       Date:  2019-04       Impact factor: 4.176

2.  Predictive factors for malignancy in incidental pulmonary nodules detected in breast cancer patients at baseline CT.

Authors:  Mark M Hammer; Eduardo J Mortani Barbosa
Journal:  Eur Radiol       Date:  2016-10-31       Impact factor: 5.315

3.  Prevalence and configuration of pulmonary nodules on multi-row CT in children without malignant diseases.

Authors:  Julius Renne; Christin Linderkamp; Frank Wacker; Lars-Daniel Berthold; Jürgen Weidemann
Journal:  Eur Radiol       Date:  2015-03-04       Impact factor: 5.315

4.  CT classification of acute myeloid leukemia with pulmonary infiltration.

Authors:  Kota Yoshifuji; Takashi Toya; Noriyo Yanagawa; Fumikazu Sakai; Akihito Nagata; Noritaka Sekiya; Kazuteru Ohashi; Noriko Doki
Journal:  Jpn J Radiol       Date:  2021-06-17       Impact factor: 2.374

5.  How Are Indeterminate Pulmonary Nodules at Diagnosis Associated with Survival in Patients with High-Grade Osteosarcoma?

Authors:  Kim M Tsoi; Martin Lowe; Yusuke Tsuda; Johnathan R Lex; Tomohiro Fujiwara; Ghassan Almeer; Jonathan Gregory; Jonathan Stevenson; Scott E Evans; Rajesh Botchu; Lee M Jeys
Journal:  Clin Orthop Relat Res       Date:  2021-02-01       Impact factor: 4.755

  5 in total

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