Internal and external validation of an ESTRO delineation guideline - dependent automated segmentation tool for loco-regional radiation therapy of early breast cancer

被引：44

作者：

Eldesoky, Ahmed R. ^{[1
,2
]}

Yates, Esben S. ^{[3
]}

Nyeng, Tine B. ^{[3
]}

Thomsen, Mette S. ^{[3
]}

Nielsen, Hanne M. ^{[1
]}

Poortmans, Philip ^{[4
]}

Kirkove, Carine ^{[5
]}

Krause, Mechthild ^{[6
,7
,8
,9
]}

Kamby, Claus ^{[10
]}

Mjaaland, Ingvil ^{[11
]}

Blix, Egil S. ^{[12
,13
]}

Jensen, Ingelise ^{[14
]}

Berg, Martin ^{[15
]}

Lorenzen, Ebbe L. ^{[16
,17
]}

Taheri-Kadkhoda, Zahra ^{[18
]}

Offersen, Birgitte V. ^{[1
]}

机构：

[1] Aarhus Univ Hosp, Dept Oncol, Noerrebrogade 44,Bldg 5, DK-8000 Aarhus C, Denmark

[2] Mansoura Univ, Dept Clin Oncol & Nucl Med, Mansoura, Egypt

[3] Aarhus Univ Hosp, Dept Med Phys, Aarhus, Denmark

[4] Radboud Univ Nijmegen, Med Ctr, Dept Radiat Oncol, Nijmegen, Netherlands

[5] Catholic Univ Louvain, Dept Radiat Oncol, Leuven, Belgium

[6] German Canc Consortium DKTK Dresden, Dresden, Germany

[7] German Canc Res Ctr DKFZ Heidelberg, Dept Radiat Oncol, Heidelberg, Germany

[8] Tech Univ Dresden, Univ Hosp Carl Gustav Carus, OncoRay, Dresden, Germany

[9] Helmholtz Zentrum Dresden Rossendorf, Dresden, Germany

[10] Rigshosp, Dept Oncol, Copenhagen, Denmark

[11] Stavanger Univ Hosp, Dept Oncol, Stavanger, Norway

[12] Univ Hosp North Norway, Dept Oncol, Tromso, Norway

[13] UiT Arctic Univ Norway, Immunol Res Grp, Inst Med Biol, Tromso, Norway

[14] Aalborg Univ Hosp, Dept Med Phys, Aalborg, Denmark

[15] Hosp Vejle, Dept Phys, Vejle, Denmark

[16] Univ Southern Denmark, Inst Clin Res, Odense, Denmark

[17] Odense Univ Hosp, Lab Radiat Phys, Odense, Denmark

[18] Hosp Naestved, Dept Oncol, Naestved, Denmark

来源：

RADIOTHERAPY AND ONCOLOGY | 2016年 / 121卷 / 03期

关键词：

Atlas based automated segmentation; Breast cancer; ESTRO consensus guideline; Target volume delineation; Multi-center study; Validation; TARGET VOLUME DELINEATION; LYMPH-NODE REGIONS; INTEROBSERVER VARIATION; CONSENSUS GUIDELINE; RADIOTHERAPY; ATLAS; SOFTWARE; RISK; CT; PROSTATE;

D O I：

10.1016/j.radonc.2016.09.005

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Background and purpose: To internally and externally validate an atlas based automated segmentation (ABAS) in loco-regional radiation therapy of breast cancer. Materials and methods: Structures of 60 patients delineated according to the ESTRO consensus guideline were included in four categorized multi-atlas libraries using MIM Maestro (TM) software. These libraries were used for auto-segmentation in two different patient groups (50 patients from the local institution and 40 patients from other institutions). Dice Similarity Coefficient, Average Hausdorff Distance, difference in volume and time were computed to compare ABAS before and after correction against a gold standard manual segmentation (MS). Results: ABAS reduced the time of MS before and after correction by 93% and 32%, respectively. ABAS showed high agreement for lung, heart, breast and humeral head, moderate agreement for chest wall and axillary nodal levels and poor agreement for interpectoral, internal mammary nodal regions and LADCA. Correcting ABAS significantly improved all the results. External validation of ABAS showed comparable results. Conclusions: ABAS is a clinically useful tool for segmenting structures in breast cancer loco-regional radiation therapy in a multi-institutional setting. However, manual correction of some structures is important before clinical use. The ABAS is now available for routine clinical use in Danish patients. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

引用

页码：424 / 430

页数：7

共 35 条

[1] Performance of an atlas-based autosegmentation software for delineation of target volumes for radiotherapy of breast and anorectal cancer [J].

Anders, Lisanne C. ;

Stieler, Florian ;

Siebenlist, Kerstin ;

Schaefer, Joerg ;

Lohr, Frank ;

Wenz, Frederik .

RADIOTHERAPY AND ONCOLOGY, 2012, 102 (01) :68-73

[2] 3D ULTRASOUND CAN CONTRIBUTE TO PLANNING CT TO DEFINE THE TARGET FOR PARTIAL BREAST RADIOTHERAPY [J].

Berrang, Tanya S. ;

Truong, Pauline T. ;

Popescu, Carmen ;

Drever, Laura ;

Kader, Hosam A. ;

Hilts, Michelle L. ;

Mitchell, Tracy ;

Soh, Siew Yan ;

Sands, Letricia ;

Silver, Stuart ;

Olivotto, Ivo A. .

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2009, 73 (02) :375-383

[3] Reducing interobserver variation of boost-CTV delineation in breast conserving radiation therapy using a pre-operative CT and delineation guidelines [J].

Boersma, Liesbeth J. ;

Janssen, Tomas ;

Elkhuizen, Paula H. M. ;

Poortmans, Philip ;

van der Sangen, Maurice ;

Scholten, Astrid N. ;

Hanbeukers, Bianca ;

Duppen, Joop C. ;

Hurkmans, Coen ;

van Vliet, Corine .

RADIOTHERAPY AND ONCOLOGY, 2012, 103 (02) :178-182

[4] Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation [J].

Daisne, Jean-Francois ;

Blumhofer, Andreas .

RADIATION ONCOLOGY, 2013, 8

[5] MEASURES OF THE AMOUNT OF ECOLOGIC ASSOCIATION BETWEEN SPECIES [J].

DICE, LR .

ECOLOGY, 1945, 26 (03) :297-302

[6] Automatic segmentation of breast in prone position: Correlation of similarity indexes and breast pendulousness with dose/volume parameters [J].

Dipasquale, Giovanna ;

Wang, Xinzhuo ;

Chatelain-Fontanella, Vanessa ;

Vincent Vinh-Hung ;

Miralbell, Raymond .

RADIOTHERAPY AND ONCOLOGY, 2016, 120 (01) :124-127

[7] Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients [J].

Dolz, J. ;

Kirisli, H. A. ;

Fechter, T. ;

Karnitzki, S. ;

Oehlke, O. ;

Nestle, U. ;

Vermandel, M. ;

Massoptier, L. .

MEDICAL PHYSICS, 2016, 43 (05) :2569-2580

[8] Segmentation algorithms of subcortical brain structures On MRI for radiotherapy and radiosurgery: A survey [J].

Dolz, J. ;

Massoptier, L. ;

Vermandel, M. .

IRBM, 2015, 36 (04) :200-212

[9] Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials [J].

Darby S. ;

McGale P. ;

Correa C. ;

Taylor C. ;

Arriagada R. ;

Clarke M. ;

Cutter D. ;

Davies C. ;

Ewertz M. ;

Godwin J. ;

Gray R. ;

Pierce L. ;

Whelan T. ;

Wang Y. ;

Peto R. ;

Albain K. ;

Anderson S. ;

Barlow W. ;

Bergh J. ;

Bliss J. ;

Buyse M. ;

Cameron D. ;

Carrasco E. ;

Coates A. ;

Collins R. ;

Costantino J. ;

Cuzick J. ;

Davidson N. ;

Davies K. ;

Delmestri A. ;

Di Leo A. ;

Dowsett M. ;

Elphinstone P. ;

Evans V. ;

Gelber R. ;

Gettins L. ;

Geyer C. ;

Goldhirsch A. ;

Gregory C. ;

Hayes D. ;

Hill C. ;

Ingle J. ;

Jakesz R. ;

James S. ;

Kaufmann M. ;

Kerr A. ;

MacKinnon E. ;

McHugh T. ;

Norton L. ;

Ohashi Y. .

LANCET, 2011, 378 (9804) :1707-1716

[10] DEVELOPMENT AND VALIDATION OF A HEART ATLAS TO STUDY CARDIAC EXPOSURE TO RADIATION FOLLOWING TREATMENT FOR BREAST CANCER [J].

Feng, Mary ;

Moran, Jean M. ;

Koelling, Todd ;

Chughtai, Aamer ;

Chan, June L. ;

Freedman, Laura ;

Hayman, James A. ;

Jagsi, Reshma ;

Jolly, Shruti ;

Larouere, Janice ;

Soriano, Julie ;

Marsh, Robin ;

Pierce, Lori J. .

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2011, 79 (01) :10-18

← 1 2 3 4 →