Literature DB >> 33806513

Radiologic Assessment of Osteosarcoma Lung Metastases: State of the Art and Recent Advances.

Anna Maria Chiesa1, Paolo Spinnato1, Marco Miceli1, Giancarlo Facchini1.   

Abstract

The lung is the most frequent site of osteosarcoma (OS) metastases, which are a critical point in defining a patient's prognosis. Chest computed tomography (CT) represents the gold standard for the detection of lung metastases even if its sensitivity widely ranges in the literature since lung localizations are often atypical. ESMO guidelines represent one of the major references for the follow-up program of OS patients. The development of new reconstruction techniques, such as the iterative method and the deep learning-based image reconstruction (DLIR), has led to a significant reduction of the radiation dose with the low-dose CT. The improvement of these techniques has great importance considering the young-onset of the disease and the strict chest surveillance during follow-up programs. The use of 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT is still controversial, while volume doubling time (VDT) and computer-aided diagnosis (CAD) systems are recent diagnostic tools that could support radiologists for lung nodules evaluation. Their use, well-established for other malignancies, needs to be further evaluated, focusing on OS patients.

Entities:  

Keywords:  computed tomography; lung; metastases; nodules; osteosarcoma

Year:  2021        PMID: 33806513      PMCID: PMC7999261          DOI: 10.3390/cells10030553

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


  69 in total

Review 1.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

2.  Computed tomographic scan of the chest underestimates the number of metastatic lesions in osteosarcoma.

Authors:  Mark L Kayton; Andrew G Huvos; Jennifer Casher; Sara J Abramson; Nancy S Rosen; Leonard H Wexler; Paul Meyers; Michael P LaQuaglia
Journal:  J Pediatr Surg       Date:  2006-01       Impact factor: 2.545

3.  The many faces of pulmonary metastases of osteosarcoma: Retrospective study on 283 lesions submitted to surgery.

Authors:  Federica Ciccarese; Alberto Bazzocchi; Rosanna Ciminari; Alberto Righi; Michele Rocca; Eugenio Rimondi; Piero Picci; Maria L Bacchi Reggiani; Ugo Albisinni; Maurizio Zompatori; Daniel Vanel
Journal:  Eur J Radiol       Date:  2015-10-01       Impact factor: 3.528

4.  Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.

Authors:  Sonja Gordic; Fabian Morsbach; Bernhard Schmidt; Thomas Allmendinger; Thomas Flohr; Daniela Husarik; Stephan Baumueller; Rainer Raupach; Paul Stolzmann; Sebastian Leschka; Thomas Frauenfelder; Hatem Alkadhi
Journal:  Invest Radiol       Date:  2014-07       Impact factor: 6.016

5.  Distinguishing benign from malignant pulmonary nodules with helical chest CT in children with malignant solid tumors.

Authors:  M Beth McCarville; Henrique M Lederman; Victor M Santana; Najat C Daw; Stephen J Shochat; Chin-Shang Li; Robert A Kaufman
Journal:  Radiology       Date:  2006-05       Impact factor: 11.105

6.  Osteosarcoma relapse after combined modality therapy: an analysis of unselected patients in the Cooperative Osteosarcoma Study Group (COSS).

Authors:  Beate Kempf-Bielack; Stefan S Bielack; Heribert Jürgens; Detlev Branscheid; Wolfgang E Berdel; G Ulrich Exner; Ulrich Göbel; Knut Helmke; Gernot Jundt; Hartmut Kabisch; Mathias Kevric; Thomas Klingebiel; Rainer Kotz; Rainer Maas; Rudolf Schwarz; Michael Semik; Jörn Treuner; Andreas Zoubek; Kurt Winkler
Journal:  J Clin Oncol       Date:  2005-01-20       Impact factor: 44.544

7.  Imaging guidelines for children with Ewing sarcoma and osteosarcoma: a report from the Children's Oncology Group Bone Tumor Committee.

Authors:  James S Meyer; Helen R Nadel; Neyssa Marina; Richard B Womer; Kenneth L B Brown; J F Eary; Richard Gorlick; Holcombe E Grier; R Lor Randall; Elizabeth R Lawlor; Stephen L Lessnick; Paula J Schomberg; Mark D Kailo
Journal:  Pediatr Blood Cancer       Date:  2008-08       Impact factor: 3.167

8.  Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.

Authors:  Yucheng Zhang; Anastasia Oikonomou; Alexander Wong; Masoom A Haider; Farzad Khalvati
Journal:  Sci Rep       Date:  2017-04-18       Impact factor: 4.379

9.  Minimum lesion detectability as a measure of PET system performance.

Authors:  Stephen Adler; Jurgen Seidel; Peter Choyke; Michael V Knopp; Katherine Binzel; Jun Zhang; Craig Barker; Shielah Conant; Roberto Maass-Moreno
Journal:  EJNMMI Phys       Date:  2017-03-04

10.  Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers.

Authors:  Jungheum Cho; Jihang Kim; Kyong Joon Lee; Chang Mo Nam; Sung Hyun Yoon; Hwayoung Song; Junghoon Kim; Ye Ra Choi; Kyung Hee Lee; Kyung Won Lee
Journal:  J Clin Med       Date:  2020-12-02       Impact factor: 4.241

View more
  2 in total

1.  An Atypical Behavior of Metastatic Lung Disease in a Young Woman With Osteosarcoma: A Case Report.

Authors:  Anaïs Acquisto; Ivan Duran Derijckere; Riccardo De Angelis
Journal:  Cureus       Date:  2022-01-25

2.  Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.

Authors:  Zhendong Luo; Jing Li; YuTing Liao; RengYi Liu; Xinping Shen; Weiguo Chen
Journal:  Front Oncol       Date:  2022-02-22       Impact factor: 6.244

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.