Literature DB >> 27732989

The Pursuit of Noninvasive Diagnosis of Lung Cancer.

Thomas Atwater1, Christine M Cook1, Pierre P Massion2.   

Abstract

The noninvasive diagnosis of lung cancer remains a formidable challenge. Although tissue diagnosis will remain the gold standard for the foreseeable future, questions pertaining to the risks and costs associated with invasive diagnostic procedures are of prime relevance. This review addresses new modalities for improving the noninvasive evaluation of suspicious lung nodules. Ultimately, the goal is to translate early diagnosis into early treatment. We discuss how biomarkers could assist in distinguishing benign from malignant nodules and aggressive from indolent tumors. The field of biomarkers is rapidly expanding and progressing, and efforts are well underway to apply molecular diagnostics to address the shortcomings of current lung cancer diagnostic tools. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2016        PMID: 27732989      PMCID: PMC5317274          DOI: 10.1055/s-0036-1592314

Source DB:  PubMed          Journal:  Semin Respir Crit Care Med        ISSN: 1069-3424            Impact factor:   3.119


  84 in total

Review 1.  Tumor marker utility grading system: a framework to evaluate clinical utility of tumor markers.

Authors:  D F Hayes; R C Bast; C E Desch; H Fritsche; N E Kemeny; J M Jessup; G Y Locker; J S Macdonald; R G Mennel; L Norton; P Ravdin; S Taube; R J Winn
Journal:  J Natl Cancer Inst       Date:  1996-10-16       Impact factor: 13.506

2.  Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy.

Authors:  Marco Ravanelli; Davide Farina; Mauro Morassi; Elisa Roca; Giuseppe Cavalleri; Gianfranco Tassi; Roberto Maroldi
Journal:  Eur Radiol       Date:  2013-07-09       Impact factor: 5.315

3.  Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial.

Authors:  Fabien Maldonado; Fenghai Duan; Sushravya M Raghunath; Srinivasan Rajagopalan; Ronald A Karwoski; Kavita Garg; Erin Greco; Hrudaya Nath; Richard A Robb; Brian J Bartholmai; Tobias Peikert
Journal:  Am J Respir Crit Care Med       Date:  2015-09-15       Impact factor: 21.405

4.  MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer.

Authors:  Mattia Boeri; Carla Verri; Davide Conte; Luca Roz; Piergiorgio Modena; Federica Facchinetti; Elisa Calabrò; Carlo M Croce; Ugo Pastorino; Gabriella Sozzi
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-07       Impact factor: 11.205

5.  Circulating mutant DNA to assess tumor dynamics.

Authors:  Frank Diehl; Kerstin Schmidt; Michael A Choti; Katharine Romans; Steven Goodman; Meng Li; Katherine Thornton; Nishant Agrawal; Lori Sokoll; Steve A Szabo; Kenneth W Kinzler; Bert Vogelstein; Luis A Diaz
Journal:  Nat Med       Date:  2007-07-31       Impact factor: 53.440

6.  Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomography.

Authors:  Sushravya Raghunath; Fabien Maldonado; Srinivasan Rajagopalan; Ronald A Karwoski; Zackary S DePew; Brian J Bartholmai; Tobias Peikert; Richard A Robb
Journal:  J Thorac Oncol       Date:  2014-11       Impact factor: 15.609

7.  Prognostic and predictive importance of p53 and RAS for adjuvant chemotherapy in non small-cell lung cancer.

Authors:  Ming-Sound Tsao; Sarit Aviel-Ronen; Keyue Ding; Davina Lau; Ni Liu; Akira Sakurada; Marlo Whitehead; Chang-Qi Zhu; Robert Livingston; David H Johnson; James Rigas; Lesley Seymour; Timothy Winton; Frances A Shepherd
Journal:  J Clin Oncol       Date:  2007-11-20       Impact factor: 44.544

8.  Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination.

Authors:  David S Gierada; Paul Pinsky; Hrudaya Nath; Caroline Chiles; Fenghai Duan; Denise R Aberle
Journal:  J Natl Cancer Inst       Date:  2014-10-18       Impact factor: 13.506

9.  Clinical validation of an autoantibody test for lung cancer.

Authors:  P Boyle; C J Chapman; S Holdenrieder; A Murray; C Robertson; W C Wood; P Maddison; G Healey; G H Fairley; A C Barnes; J F R Robertson
Journal:  Ann Oncol       Date:  2010-07-30       Impact factor: 32.976

10.  "Sentinel" circulating tumor cells allow early diagnosis of lung cancer in patients with chronic obstructive pulmonary disease.

Authors:  Marius Ilie; Véronique Hofman; Elodie Long-Mira; Eric Selva; Jean-Michel Vignaud; Bernard Padovani; Jérôme Mouroux; Charles-Hugo Marquette; Paul Hofman
Journal:  PLoS One       Date:  2014-10-31       Impact factor: 3.240

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  5 in total

1.  Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification.

Authors:  Hong Liu; Haichao Cao; Enmin Song; Guangzhi Ma; Xiangyang Xu; Renchao Jin; Chuhua Liu; Chih-Cheng Hung
Journal:  J Digit Imaging       Date:  2020-10       Impact factor: 4.056

2.  Tumor-derived Autoantibodies Identify Malignant Pulmonary Nodules.

Authors:  Kristin J Lastwika; Julia Kargl; Yuzheng Zhang; Xiaodong Zhu; Edward Lo; David Shelley; Jon J Ladd; Wei Wu; Paul Kinahan; Sudhakar N J Pipavath; Timothy W Randolph; Melissa Shipley; Paul D Lampe; A McGarry Houghton
Journal:  Am J Respir Crit Care Med       Date:  2019-05-15       Impact factor: 21.405

3.  Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas.

Authors:  Erica C Nakajima; Michael P Frankland; Tucker F Johnson; Sanja L Antic; Heidi Chen; Sheau-Chiann Chen; Ronald A Karwoski; Ronald Walker; Bennett A Landman; Ryan D Clay; Brian J Bartholmai; Srinivasan Rajagopalan; Tobias Peikert; Pierre P Massion; Fabien Maldonado
Journal:  PLoS One       Date:  2018-06-01       Impact factor: 3.240

4.  Highly accurate model for prediction of lung nodule malignancy with CT scans.

Authors:  Jason L Causey; Junyu Zhang; Shiqian Ma; Bo Jiang; Jake A Qualls; David G Politte; Fred Prior; Shuzhong Zhang; Xiuzhen Huang
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

Review 5.  The emergence of new trends in clinical laboratory diagnosis.

Authors:  Mohammed A Alaidarous
Journal:  Saudi Med J       Date:  2020-11       Impact factor: 1.484

  5 in total

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