Literature DB >> 26596767

Resources Required for Semi-Automatic Volumetric Measurements in Metastatic Chordoma: Is Potentially Improved Tumor Burden Assessment Worth the Time Burden?

Kathleen E Fenerty1, Nicholas J Patronas2, Christopher R Heery3, James L Gulley4, Les R Folio2.   

Abstract

The Response Evaluation Criteria in Solid Tumors (RECIST) is the current standard for assessing therapy response in patients with malignant solid tumors; however, volumetric assessments are thought to be more representative of actual tumor size and hence superior in predicting patient outcomes. We segmented all primary and metastatic lesions in 21 chordoma patients for comparison to RECIST. Primary tumors were segmented on MR and validated by a neuroradiologist. Metastatic lesions were segmented on CT and validated by a general radiologist. We estimated times for a research assistant to segment all primary and metastatic chordoma lesions using semi-automated volumetric segmentation tools available within our PACS (v12.0, Carestream, Rochester, NY), as well as time required for radiologists to validate the segmentations. We also report success rates of semi-automatic segmentation in metastatic lesions on CT and time required to export data. Furthermore, we discuss the feasibility of volumetric segmentation workflow in research and clinical settings. The research assistant spent approximately 65 h segmenting 435 lesions in 21 patients. This resulted in 1349 total segmentations (average 2.89 min per lesion) and over 13,000 data points. Combined time for the neuroradiologist and general radiologist to validate segmentations was 45.7 min per patient. Exportation time for all patients totaled only 6 h, providing time-saving opportunities for data managers and oncologists. Perhaps cost-neutral resource reallocation can help acquire volumes paralleling our example workflow. Our results will provide researchers with benchmark resources required for volumetric assessments within PACS and help prepare institutions for future volumetric assessment criteria.

Entities:  

Keywords:  Clinical oncology; Efficiency; PACS; Radiology workflow; Segmentation

Mesh:

Year:  2016        PMID: 26596767      PMCID: PMC4879033          DOI: 10.1007/s10278-015-9846-9

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  17 in total

1.  Imaging characteristics of metastatic chordoma.

Authors:  Riwa Kishimoto; Tokuhiko Omatsu; Azusa Hasegawa; Reiko Imai; Susumu Kandatsu; Tadashi Kamada
Journal:  Jpn J Radiol       Date:  2012-05-18       Impact factor: 2.374

2.  Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker.

Authors:  Vicky Goh; Balaji Ganeshan; Paul Nathan; Jaspal K Juttla; Anup Vinayan; Kenneth A Miles
Journal:  Radiology       Date:  2011-08-03       Impact factor: 11.105

Review 3.  Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends.

Authors:  Awais Mansoor; Ulas Bagci; Brent Foster; Ziyue Xu; Georgios Z Papadakis; Les R Folio; Jayaram K Udupa; Daniel J Mollura
Journal:  Radiographics       Date:  2015 Jul-Aug       Impact factor: 5.333

4.  Improved efficiency in clinical workflow of reporting measured oncology lesions via PACS-integrated lesion tracking tool.

Authors:  Merlijn Sevenster; Adam R Travis; Rajiv K Ganesh; Peng Liu; Ursula Kose; Joost Peters; Paul J Chang
Journal:  AJR Am J Roentgenol       Date:  2015-03       Impact factor: 3.959

5.  Chordomas: MR imaging.

Authors:  G Sze; L S Uichanco; M N Brant-Zawadzki; R L Davis; P H Gutin; C B Wilson; D Norman; T H Newton
Journal:  Radiology       Date:  1988-01       Impact factor: 11.105

6.  Informatics in radiology: improving clinical work flow through an AIM database: a sample web-based lesion tracking application.

Authors:  Aaron C Abajian; Mia Levy; Daniel L Rubin
Journal:  Radiographics       Date:  2012-06-27       Impact factor: 5.333

7.  Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT part 2. Therapy monitoring of pulmonary metastases.

Authors:  Lars Bornemann; Jan-Martin Kuhnigk; Volker Dicken; Stephan Zidowitz; Bernd Kuemmerlen; Stefan Krass; Heinz-Otto Peitgen; Berthold B Wein; Henning Schubert; Hoen-oh Shin; Dag Wormanns
Journal:  Radiographics       Date:  2005 May-Jun       Impact factor: 5.333

8.  Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement.

Authors:  Lawrence H Schwartz; Madhu Mazumdar; Wendy Brown; Alex Smith; David M Panicek
Journal:  Clin Cancer Res       Date:  2003-10-01       Impact factor: 12.531

9.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

10.  Consistency and efficiency of CT analysis of metastatic disease: semiautomated lesion management application within a PACS.

Authors:  Les R Folio; Aline Sandouk; Jiaxin Huang; Jeffrey M Solomon; Andrea B Apolo
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

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  4 in total

Review 1.  Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges.

Authors:  Les R Folio; Laura B Machado; Andrew J Dwyer
Journal:  Radiographics       Date:  2018 Mar-Apr       Impact factor: 5.333

2.  Radiology Reports With Hyperlinks Improve Target Lesion Selection and Measurement Concordance in Cancer Trials.

Authors:  Laura B Machado; Andrea B Apolo; Seth M Steinberg; Les R Folio
Journal:  AJR Am J Roentgenol       Date:  2017-02       Impact factor: 3.959

3.  Predicting clinical outcomes in chordoma patients receiving immunotherapy: a comparison between volumetric segmentation and RECIST.

Authors:  Kathleen E Fenerty; Les R Folio; Nicholas J Patronas; Jennifer L Marté; James L Gulley; Christopher R Heery
Journal:  BMC Cancer       Date:  2016-08-23       Impact factor: 4.430

4.  Three-Dimensional Volume Imaging to Increase the Accuracy of Surgical Management in a Case of Recurrent Chordoma of the Clivus.

Authors:  João Pedro Perez Gomes; José de Ribamar Castro Veloso; Albina Messias de Almeida M Altemani; Carlos Takahiro Chone; João Mauricio Carrasco Altemani; Claudio Fróes de Freitas; Carmen Silvia Passos Lima; Paulo Henrique Braz-Silva; Andre Luiz Ferreira Costa
Journal:  Am J Case Rep       Date:  2018-10-02
  4 in total

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