Observer variation in target volume delineation of lung cancer related to radiation oncologist–computer interaction: A ‘Big Brother’ evaluation
To evaluate the process of target volume delineation in lung cancer for optimization of imaging, delineation protocol and delineation software. Eleven radiation oncologists (observers) from five different institutions delineated the Gross Tumor Volume (GTV) including positive lymph nodes of 22 lung...
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Published in | Radiotherapy and oncology Vol. 77; no. 2; pp. 182 - 190 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Ireland
Elsevier Ireland Ltd
01.11.2005
|
Subjects | |
Online Access | Get full text |
ISSN | 0167-8140 1879-0887 |
DOI | 10.1016/j.radonc.2005.09.017 |
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Abstract | To evaluate the process of target volume delineation in lung cancer for optimization of imaging, delineation protocol and delineation software.
Eleven radiation oncologists (observers) from five different institutions delineated the Gross Tumor Volume (GTV) including positive lymph nodes of 22 lung cancer patients (stages I–IIIB) on CT only. All radiation oncologist–computer interactions were recorded with a tool called ‘Big Brother’. For each radiation oncologist and patient the following issues were analyzed: delineation time, number of delineated points and corrections, zoom levels, level and window (L/W) settings, CT slice changes, use of side windows (coronal and sagittal) and software button use.
The mean delineation time per GTV was 16
min (SD 10
min). The mean delineation time for lymph node positive patients was on average 3
min larger (
P=0.02) than for lymph node negative patients.
Many corrections (55%) were due to L/W change (e.g. delineating in mediastinum L/W and then correcting in lung L/W). For the lymph node region, a relatively large number of corrections was found (3.7
corr/cm
2), indicating that it was difficult to delineate lymph nodes. For the tumor-atelectasis region, a relative small number of corrections was found (1.0
corr/cm
2), indicating that including or excluding atelectasis into the GTV was a clinical decision.
Inappropriate use of L/W settings was frequently found (e.g. 46% of all delineated points in the tumor—lung region were delineated in mediastinum L/W settings).
Despite a large observer variation in cranial and caudal direction of 0.72
cm (1 SD), the coronal and sagittal side windows were not used in 45 and 60% of the cases, respectively. For the more difficult cases, observer variation was smaller when the coronal and sagittal side windows were used.
With the ‘Big Brother’ tool a method was developed to trace the delineation process. The differences between observers concerning the delineation style were large. This study led to recommendations on how to improve delineation accuracy by adapting the delineation protocol (guidelines for L/W use) and delineation software (double window with lung and mediastinum L/W settings at the same time, enforced use of coronal and sagittal views) and including FDG-PET information (lymph nodes and atelectasis). |
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AbstractList | To evaluate the process of target volume delineation in lung cancer for optimization of imaging, delineation protocol and delineation software.
Eleven radiation oncologists (observers) from five different institutions delineated the Gross Tumor Volume (GTV) including positive lymph nodes of 22 lung cancer patients (stages I–IIIB) on CT only. All radiation oncologist–computer interactions were recorded with a tool called ‘Big Brother’. For each radiation oncologist and patient the following issues were analyzed: delineation time, number of delineated points and corrections, zoom levels, level and window (L/W) settings, CT slice changes, use of side windows (coronal and sagittal) and software button use.
The mean delineation time per GTV was 16
min (SD 10
min). The mean delineation time for lymph node positive patients was on average 3
min larger (
P=0.02) than for lymph node negative patients.
Many corrections (55%) were due to L/W change (e.g. delineating in mediastinum L/W and then correcting in lung L/W). For the lymph node region, a relatively large number of corrections was found (3.7
corr/cm
2), indicating that it was difficult to delineate lymph nodes. For the tumor-atelectasis region, a relative small number of corrections was found (1.0
corr/cm
2), indicating that including or excluding atelectasis into the GTV was a clinical decision.
Inappropriate use of L/W settings was frequently found (e.g. 46% of all delineated points in the tumor—lung region were delineated in mediastinum L/W settings).
Despite a large observer variation in cranial and caudal direction of 0.72
cm (1 SD), the coronal and sagittal side windows were not used in 45 and 60% of the cases, respectively. For the more difficult cases, observer variation was smaller when the coronal and sagittal side windows were used.
With the ‘Big Brother’ tool a method was developed to trace the delineation process. The differences between observers concerning the delineation style were large. This study led to recommendations on how to improve delineation accuracy by adapting the delineation protocol (guidelines for L/W use) and delineation software (double window with lung and mediastinum L/W settings at the same time, enforced use of coronal and sagittal views) and including FDG-PET information (lymph nodes and atelectasis). To evaluate the process of target volume delineation in lung cancer for optimization of imaging, delineation protocol and delineation software. Eleven radiation oncologists (observers) from five different institutions delineated the Gross Tumor Volume (GTV) including positive lymph nodes of 22 lung cancer patients (stages I-IIIB) on CT only. All radiation oncologist-computer interactions were recorded with a tool called 'Big Brother'. For each radiation oncologist and patient the following issues were analyzed: delineation time, number of delineated points and corrections, zoom levels, level and window (L/W) settings, CT slice changes, use of side windows (coronal and sagittal) and software button use. The mean delineation time per GTV was 16 min (SD 10 min). The mean delineation time for lymph node positive patients was on average 3 min larger (P = 0.02) than for lymph node negative patients. Many corrections (55%) were due to L/W change (e.g. delineating in mediastinum L/W and then correcting in lung L/W). For the lymph node region, a relatively large number of corrections was found (3.7 corr/cm2), indicating that it was difficult to delineate lymph nodes. For the tumor-atelectasis region, a relative small number of corrections was found (1.0 corr/cm2), indicating that including or excluding atelectasis into the GTV was a clinical decision. Inappropriate use of L/W settings was frequently found (e.g. 46% of all delineated points in the tumor-lung region were delineated in mediastinum L/W settings). Despite a large observer variation in cranial and caudal direction of 0.72 cm (1 SD), the coronal and sagittal side windows were not used in 45 and 60% of the cases, respectively. For the more difficult cases, observer variation was smaller when the coronal and sagittal side windows were used. With the 'Big Brother' tool a method was developed to trace the delineation process. The differences between observers concerning the delineation style were large. This study led to recommendations on how to improve delineation accuracy by adapting the delineation protocol (guidelines for L/W use) and delineation software (double window with lung and mediastinum L/W settings at the same time, enforced use of coronal and sagittal views) and including FDG-PET information (lymph nodes and atelectasis). To evaluate the process of target volume delineation in lung cancer for optimization of imaging, delineation protocol and delineation software.BACKGROUND AND PURPOSETo evaluate the process of target volume delineation in lung cancer for optimization of imaging, delineation protocol and delineation software.Eleven radiation oncologists (observers) from five different institutions delineated the Gross Tumor Volume (GTV) including positive lymph nodes of 22 lung cancer patients (stages I-IIIB) on CT only. All radiation oncologist-computer interactions were recorded with a tool called 'Big Brother'. For each radiation oncologist and patient the following issues were analyzed: delineation time, number of delineated points and corrections, zoom levels, level and window (L/W) settings, CT slice changes, use of side windows (coronal and sagittal) and software button use.PATIENTS AND METHODSEleven radiation oncologists (observers) from five different institutions delineated the Gross Tumor Volume (GTV) including positive lymph nodes of 22 lung cancer patients (stages I-IIIB) on CT only. All radiation oncologist-computer interactions were recorded with a tool called 'Big Brother'. For each radiation oncologist and patient the following issues were analyzed: delineation time, number of delineated points and corrections, zoom levels, level and window (L/W) settings, CT slice changes, use of side windows (coronal and sagittal) and software button use.The mean delineation time per GTV was 16 min (SD 10 min). The mean delineation time for lymph node positive patients was on average 3 min larger (P = 0.02) than for lymph node negative patients. Many corrections (55%) were due to L/W change (e.g. delineating in mediastinum L/W and then correcting in lung L/W). For the lymph node region, a relatively large number of corrections was found (3.7 corr/cm2), indicating that it was difficult to delineate lymph nodes. For the tumor-atelectasis region, a relative small number of corrections was found (1.0 corr/cm2), indicating that including or excluding atelectasis into the GTV was a clinical decision. Inappropriate use of L/W settings was frequently found (e.g. 46% of all delineated points in the tumor-lung region were delineated in mediastinum L/W settings). Despite a large observer variation in cranial and caudal direction of 0.72 cm (1 SD), the coronal and sagittal side windows were not used in 45 and 60% of the cases, respectively. For the more difficult cases, observer variation was smaller when the coronal and sagittal side windows were used.RESULTSThe mean delineation time per GTV was 16 min (SD 10 min). The mean delineation time for lymph node positive patients was on average 3 min larger (P = 0.02) than for lymph node negative patients. Many corrections (55%) were due to L/W change (e.g. delineating in mediastinum L/W and then correcting in lung L/W). For the lymph node region, a relatively large number of corrections was found (3.7 corr/cm2), indicating that it was difficult to delineate lymph nodes. For the tumor-atelectasis region, a relative small number of corrections was found (1.0 corr/cm2), indicating that including or excluding atelectasis into the GTV was a clinical decision. Inappropriate use of L/W settings was frequently found (e.g. 46% of all delineated points in the tumor-lung region were delineated in mediastinum L/W settings). Despite a large observer variation in cranial and caudal direction of 0.72 cm (1 SD), the coronal and sagittal side windows were not used in 45 and 60% of the cases, respectively. For the more difficult cases, observer variation was smaller when the coronal and sagittal side windows were used.With the 'Big Brother' tool a method was developed to trace the delineation process. The differences between observers concerning the delineation style were large. This study led to recommendations on how to improve delineation accuracy by adapting the delineation protocol (guidelines for L/W use) and delineation software (double window with lung and mediastinum L/W settings at the same time, enforced use of coronal and sagittal views) and including FDG-PET information (lymph nodes and atelectasis).CONCLUSIONSWith the 'Big Brother' tool a method was developed to trace the delineation process. The differences between observers concerning the delineation style were large. This study led to recommendations on how to improve delineation accuracy by adapting the delineation protocol (guidelines for L/W use) and delineation software (double window with lung and mediastinum L/W settings at the same time, enforced use of coronal and sagittal views) and including FDG-PET information (lymph nodes and atelectasis). |
Author | Zijp, Lambert Nowak, Peter J.C.M. Steenbakkers, Roel J.H.M. Deurloo, Kirsten E.I. Belderbos, José S.A. Hart, Augustinus A.M. Fitton, Isabelle Herk, Marcel van Rodrigus, Patrick T.R. Kramer, Gijsbert W.P. Uitterhoeve, Apollonia L.J. Jaeger, Katrien De Rasch, Coen R.N. Bussink, Johan Duppen, Joop C. |
Author_xml | – sequence: 1 givenname: Roel J.H.M. surname: Steenbakkers fullname: Steenbakkers, Roel J.H.M. email: r.steenbakkers@nki.nl organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 2 givenname: Joop C. surname: Duppen fullname: Duppen, Joop C. organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 3 givenname: Isabelle surname: Fitton fullname: Fitton, Isabelle organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 4 givenname: Kirsten E.I. surname: Deurloo fullname: Deurloo, Kirsten E.I. organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 5 givenname: Lambert surname: Zijp fullname: Zijp, Lambert organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 6 givenname: Apollonia L.J. surname: Uitterhoeve fullname: Uitterhoeve, Apollonia L.J. organization: Academic Medical Center, Amsterdam, The Netherlands – sequence: 7 givenname: Patrick T.R. surname: Rodrigus fullname: Rodrigus, Patrick T.R. organization: Dr Bernard Verbeeten Institute, Tilburg, The Netherlands – sequence: 8 givenname: Gijsbert W.P. surname: Kramer fullname: Kramer, Gijsbert W.P. organization: Arnhem Radiotherapy Institute, Arnhem, The Netherlands – sequence: 9 givenname: Johan surname: Bussink fullname: Bussink, Johan organization: Radboud University Nijmegen, Nijmegen, The Netherlands – sequence: 10 givenname: Katrien De surname: Jaeger fullname: Jaeger, Katrien De organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 11 givenname: José S.A. surname: Belderbos fullname: Belderbos, José S.A. organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 12 givenname: Augustinus A.M. surname: Hart fullname: Hart, Augustinus A.M. organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 13 givenname: Peter J.C.M. surname: Nowak fullname: Nowak, Peter J.C.M. organization: Erasmus Medical Center, Rotterdam, The Netherlands – sequence: 14 givenname: Marcel van surname: Herk fullname: Herk, Marcel van organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands – sequence: 15 givenname: Coen R.N. surname: Rasch fullname: Rasch, Coen R.N. email: c.rasch@nki.nl organization: The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/16256231$$D View this record in MEDLINE/PubMed |
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Keywords | Target volume delineation Big Brother Observer variation Lung cancer |
Language | English |
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SubjectTerms | Aged Aged, 80 and over Big Brother Carcinoma, Non-Small-Cell Lung - pathology Carcinoma, Non-Small-Cell Lung - radiotherapy Cohort Studies Dose-Response Relationship, Radiation Equipment Design Equipment Safety Evaluation Studies as Topic Female Humans Lung cancer Lung Neoplasms - pathology Lung Neoplasms - radiotherapy Male Middle Aged Neoplasm Staging Observer Variation Practice Patterns, Physicians Radiation Oncology - standards Radiation Oncology - trends Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - instrumentation Radiotherapy Planning, Computer-Assisted - methods Risk Assessment Sensitivity and Specificity Target volume delineation Tomography, X-Ray Computed Treatment Outcome |
Title | Observer variation in target volume delineation of lung cancer related to radiation oncologist–computer interaction: A ‘Big Brother’ evaluation |
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