Literature DB >> 23824993

Intra- and interobserver variability in CT measurements in oncology.

Aoife McErlean1, David M Panicek, Emily C Zabor, Chaya S Moskowitz, Richard Bitar, Robert J Motzer, Hedvig Hricak, Michelle S Ginsberg.   

Abstract

PURPOSE: To assess variability of computed tomographic (CT) measurements of lesions of various sizes and margin sharpness in several organs taken by readers with different levels of experience, as would be found in routine clinical practice.
MATERIALS AND METHODS: In this institutional review board-approved, HIPAA-compliant retrospective study, 17 radiologists with varying levels of experience independently obtained bidimensional orthogonal axial measurements of 80 lymph nodes, 120 pulmonary lesions, and 120 hepatic lesions, categorized by size and margin sharpness. Repeat measurements were performed 2 or more weeks later. Intraclass correlation coefficients and Bland-Altman plots were used to assess intra- and interobserver variability.
RESULTS: For long- and short-axis measurements, respectively, overall intraobserver agreement rates were 0.957 (95% confidence interval [CI]: 0.947, 0.966) and 0.945 (95% CI: 0.933, 0.955); interobserver agreement rates were 0.954 (95% CI: 0.943, 0.963) and 0.941 (95% CI: 0.929, 0.951). Both intra- and interobserver agreement differed by lesion size, margin sharpness, location, and reader experience. Agreement ranged from 0.847 to 0.886 for lesions 20 mm or larger versus 0.745-0.785 for lesions smaller than 10 mm, 0.961 to 0.975 for smooth margins versus 0.924-0.942 for irregular margins, 0.955 to 0.97 for lung lesions versus 0.884-0.94 for lymph nodes, and 0.95 to 0.97 for attending radiologists versus 0.928-0.945 for fellows. Measurement variability decreased with increasing lesion size; 95% limits of agreement for short-axis measurements were -11.6% to 6.7% for lesions smaller than 10 mm versus -6.2% to 4.7% for lesions 20 mm or larger.
CONCLUSION: Overall intra- and interobserver variability rates were similar; in clinical practice, serial CT measurements can be safely performed by different radiologists. Smooth margins, larger lesion size, and greater reader experience resulted in a higher consistency of measurements. Depending on lesion size, increases of 4%-6% or greater in long axis and 5%-7% or greater in short axis and decreases of -6% to -10% or greater in long axis and -6% to -12% or greater in short axis at CT can be considered true changes rather than measurement variation, with 95% confidence. RSNA, 2013

Entities:  

Mesh:

Year:  2013        PMID: 23824993     DOI: 10.1148/radiology.13122665

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  40 in total

1.  Magnetic Resonance Imaging Evaluation of Hepatocellular Carcinoma Treated With Stereotactic Body Radiation Therapy: Long Term Imaging Follow-Up.

Authors:  Mishal Mendiratta-Lala; William Masch; Prasad R Shankar; Holly E Hartman; Matthew S Davenport; Matthew J Schipper; Chris Maurino; Kyle C Cuneo; Theodore S Lawrence; Dawn Owen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-09-10       Impact factor: 7.038

Review 2.  Biomarker validation: common data analysis concerns.

Authors:  Joe E Ensor
Journal:  Oncologist       Date:  2014-07-07

3.  Comparison of manual and semi-automatic measuring techniques in MSCT scans of patients with lymphoma: a multicentre study.

Authors:  A J Höink; J Weßling; R Koch; C Schülke; N Kohlhase; L Wassenaar; R M Mesters; M D'Anastasi; M Fabel; A Wulff; D Pinto dos Santos; A Kießling; A Graser; V Dicken; M Karpitschka; L Bornemann; W Heindel; B Buerke
Journal:  Eur Radiol       Date:  2014-09-06       Impact factor: 5.315

Review 4.  Radiologists and Clinical Trials: Part 2: Practical Statistical Methods for Understanding and Monitoring Independent Reader Performance.

Authors:  David L Raunig; Annette M Schmid; Colin G Miller; Richard C Walovitch; Michael O'Connor; Klaus Noever; Ivalina Hristova; Michael O'Neal; Guenther Brueggenwerth; Robert R Ford
Journal:  Ther Innov Regul Sci       Date:  2021-07-09       Impact factor: 1.778

5.  Are pancreatic IPMN volumes measured on MRI images more reproducible than diameters? An assessment in a large single-institution cohort.

Authors:  Pallavi Pandey; Ankur Pandey; Farnaz Najmi Varzaneh; Mounes Aliyari Ghasabeh; Daniel Fouladi; Pegah Khoshpouri; Nannan Shao; Manijeh Zarghampour; Ralph H Hruban; Marcia Canto; Anne Marie O'Broin-Lennon; Ihab R Kamel
Journal:  Eur Radiol       Date:  2018-02-05       Impact factor: 5.315

6.  What CT characteristics of lepidic predominant pattern lung adenocarcinomas correlate with invasiveness on pathology?

Authors:  Emily A Aherne; Andrew J Plodkowski; Joseph Montecalvo; Sumar Hayan; Junting Zheng; Marinela Capanu; Prasad S Adusumilli; William D Travis; Michelle S Ginsberg
Journal:  Lung Cancer       Date:  2018-02-03       Impact factor: 5.705

7.  From genotype to phenotype: Are there imaging characteristics associated with lung adenocarcinomas harboring RET and ROS1 rearrangements?

Authors:  Andrew J Plodkowski; Alexander Drilon; Darragh F Halpenny; Dearbhail O'Driscoll; Donald Blair; Anya M Litvak; Junting Zheng; Chaya S Moskowitz; Michelle S Ginsberg
Journal:  Lung Cancer       Date:  2015-09-21       Impact factor: 5.705

8.  Biases in the reporting of hepatocellular carcinoma tumor sizes on the liver transplant waiting list.

Authors:  Mariya L Samoylova; Mark J Nigrini; Jennifer L Dodge; John P Roberts
Journal:  Hepatology       Date:  2017-08-26       Impact factor: 17.425

9.  Variability in assessing treatment response: metastatic colorectal cancer as a paradigm.

Authors:  Binsheng Zhao; Shing M Lee; Hyun-Ju Lee; Yongqiang Tan; Jing Qi; Thorsten Persigehl; David P Mozley; Lawrence H Schwartz
Journal:  Clin Cancer Res       Date:  2014-04-29       Impact factor: 12.531

10.  Thymic measurements in pathologically proven normal thymus and thymic hyperplasia: intraobserver and interobserver variabilities.

Authors:  Tetsuro Araki; Lynette M Sholl; Victor H Gerbaudo; Hiroto Hatabu; Mizuki Nishino
Journal:  Acad Radiol       Date:  2014-06       Impact factor: 3.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.