Literature DB >> 12062598

Measurement of lung tumor volumes using three-dimensional computer planning software.

Patrick Bowden1, Richard Fisher, Michael Mac Manus, Andrew Wirth, Gillian Duchesne, Michael Millward, Allan McKenzie, Judy Andrews, David Ball.   

Abstract

PURPOSE: To examine the interclinician variation in the definition of gross tumor volume (GTV) in patients undergoing radiotherapy for non-small-cell lung cancer (NSCLC), develop methods to minimize this variation, and test these methods. METHODS AND MATERIALS: The radiotherapy planning computed tomography (CT) scans of 6 consecutive patients with NSCLC in which the radiologist was able to define and outline the GTV were used. Six oncologists independently contoured the tumors with the radiologist's markings as a guide using a three-dimensional treatment planning system. Separate contours were prepared using only mediastinal window settings and using both mediastinal and lung window settings. The volumes were calculated using the planning system software (series 1). Factors that resulted in interclinician variation were determined, and, after a 3-year interval, 5 of the 6 clinicians redefined the GTVs using a revised protocol aimed at minimizing variation (series 2).
RESULTS: For series 1, the interclinician variation in the measurement of volumes ranged from 5%, in the most tightly measured tumor, to 42%, in the most variable, but was, on average, 20%. Statistically significant differences were noted among the clinicians (p = 0.002), that is, some clinicians tended to record relatively small and some relatively large volumes. The reasons for the variation among the oncologists included a tendency to include regions with a low probability of containing tumor, as if the oncologist were contouring a target volume; inclusion of adjacent atelectasis (ignoring the radiologist's outline); and variable treatment of spicules. When the exercise was repeated using the revised protocol (series 2), the degree of interclinician variation was reduced, with a range of 7-22% (average 13%). In series 2, the differences among the clinicians were not statistically significant (p = 0.25).
CONCLUSION: Despite major radiologic input, significant variation occurred in the delineation of the three-dimensional GTVs of NSCLC among oncologists. Standardization of the approach with guidelines resulted in a reduction in this variation.

Entities:  

Mesh:

Year:  2002        PMID: 12062598     DOI: 10.1016/s0360-3016(02)02783-9

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  21 in total

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3.  Inter-rater reliability between musculoskeletal radiologists and orthopedic surgeons on computed tomography imaging features of spinal metastases.

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5.  A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen.

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Review 6.  Advances in the use of motion management and image guidance in radiation therapy treatment for lung cancer.

Authors:  Jason K Molitoris; Tejan Diwanji; James W Snider; Sina Mossahebi; Santanu Samanta; Shahed N Badiyan; Charles B Simone; Pranshu Mohindra
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

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8.  Tumor delineation: The weakest link in the search for accuracy in radiotherapy.

Authors:  C F Njeh
Journal:  J Med Phys       Date:  2008-10

9.  Multi-institutional comparison of treatment planning using stereotactic ablative body radiotherapy for hepatocellular carcinoma - benchmark for a prospective multi-institutional study.

Authors:  Takahisa Eriguchi; Atsuya Takeda; Yohei Oku; Satoshi Ishikura; Tomoki Kimura; Shuichi Ozawa; Takeo Nakashima; Yukinori Matsuo; Mitsuhiro Nakamura; Yasuo Matsumoto; Sadanori Yamazaki; Naoko Sanuki; Yoshinori Ito
Journal:  Radiat Oncol       Date:  2013-05-04       Impact factor: 3.481

10.  "Two are better than one": a pilot study of how radiologist and oncologists can collaborate in target volume definition.

Authors:  Gail Horan; Tom W Roques; John Curtin; Ann Barrett
Journal:  Cancer Imaging       Date:  2006-02-28       Impact factor: 3.909

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