Literature DB >> 32627421

Identifying breast cancer patients who gain the most dosimetric benefit from deep inspiration breath hold radiotherapy.

Patricia Browne1, Nakia-Rae Beaton1, Harish Sharma1, Sharon Watson1, G Tao Mai1,2, Jennifer Harvey1,2, Anne Bernard3, Elizabeth Brown1,4, Catriona Hargrave1,4, Margot Lehman1,2.   

Abstract

INTRODUCTION: Deep inspiration breath hold (DIBH) has been proven to reduce cardiac dose for women receiving left breast and chest wall radiation therapy. However, it utilises extra departmental resources and patient exertion. The aim of this exploratory study was to investigate if any factors existed that could identify breast cancer patients who may benefit most from DIBH, to facilitate appropriate utilisation of departmental resources.
METHODS: Left-sided breast cancer patients aged 18-70 years, and right-sided breast cancer patients with internal mammary nodes included, were recruited. DIBH and free breathing (FB) plans were created for all patients. Patient demographic and clinical history were recorded. Variables including lung threshold value, lung volume, patient separation, maximum heart in field, volume of planning target volume (PTV), heart dose, ipsilateral lung dose were compared between plans.
RESULTS: Plans for 31 patients were analysed. No correlations were found between lung threshold value or patient separation and cardiac dose. Moderate to strong correlations were found with BMI, PTV volume and lung volume change however no definitive thresholds were determined. A significant difference was found in the maximum heart in field between DIBH and FB (P < 0.001) with those patients with greater than 0.7 cm heart in the field on the FB scan demonstrating greater reductions in mean heart dose.
CONCLUSION: Maximum heart in the field of greater than 0.7 cm in FB could be a potential factor to identify patients who may benefit most from DIBH. This factor warrants investigation in a larger patient cohort to test its validity.
© 2020 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Entities:  

Keywords:  breast radiation therapy; deep inspiration breath hold; heart dose; potential factors

Mesh:

Year:  2020        PMID: 32627421      PMCID: PMC7754004          DOI: 10.1002/jmrs.415

Source DB:  PubMed          Journal:  J Med Radiat Sci        ISSN: 2051-3895


  21 in total

Review 1.  Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomised trials.

Authors:  M Clarke; R Collins; S Darby; C Davies; P Elphinstone; V Evans; J Godwin; R Gray; C Hicks; S James; E MacKinnon; P McGale; T McHugh; R Peto; C Taylor; Y Wang
Journal:  Lancet       Date:  2005-12-17       Impact factor: 79.321

2.  Selection of patients with left breast cancer for deep-inspiration breath-hold radiotherapy technique: Results of a prospective study.

Authors:  Beata Czeremszyńska; Stanisław Drozda; Michał Górzyński; Lucyna Kępka
Journal:  Rep Pract Oncol Radiother       Date:  2017-06-30

3.  Deep inspiration breathhold for left-sided breast cancer patients with unfavorable cardiac anatomy requiring internal mammary nodal irradiation.

Authors:  Osama Mohamad; Jean Shiao; Bo Zhao; Karen Roach; Ezequiel Ramirez; Dat T Vo; Kimberly Thomas; Xuejun Gu; Ann Spangler; Kevin Albuquerque; Asal Rahimi
Journal:  Pract Radiat Oncol       Date:  2017-04-13

4.  Feasibility study of individualized optimal positioning selection for left-sided whole breast radiotherapy: DIBH or prone.

Authors:  Hui Lin; Tianyu Liu; Chengyu Shi; Saskia Petillion; Isabelle Kindts; Caroline Weltens; Tom Depuydt; Yulin Song; Ziad Saleh; Xie George Xu; Xiaoli Tang
Journal:  J Appl Clin Med Phys       Date:  2018-02-13       Impact factor: 2.102

5.  Deep inspiration breath-hold technique for left-sided breast cancer: An analysis of predictors for organ-at-risk sparing.

Authors:  Steven Register; Cristiane Takita; Isildinha Reis; Wei Zhao; William Amestoy; Jean Wright
Journal:  Med Dosim       Date:  2014-12-17       Impact factor: 1.482

6.  Long-term mortality from heart disease and lung cancer after radiotherapy for early breast cancer: prospective cohort study of about 300,000 women in US SEER cancer registries.

Authors:  Sarah C Darby; Paul McGale; Carolyn W Taylor; Richard Peto
Journal:  Lancet Oncol       Date:  2005-08       Impact factor: 41.316

7.  Prospective assessment of deep inspiration breath-hold using 3-dimensional surface tracking for irradiation of left-sided breast cancer.

Authors:  Shyam K Tanguturi; Yulia Lyatskaya; Yuhui Chen; Paul J Catalano; Ming Hui Chen; Wee-Pin Yeo; Alex Marques; Linh Truong; Mary Yeh; Lawrence Orlina; Julia S Wong; Rinaa S Punglia; Jennifer R Bellon
Journal:  Pract Radiat Oncol       Date:  2015-07-28

8.  Assessment of deep inspiration breath hold (DIBH) amplitude and reduction in cardiac dose in left breast cancer patients.

Authors:  D Ledsom; A J Reilly; H Probst
Journal:  Radiography (Lond)       Date:  2017-12-15

9.  Significant reductions in heart and lung doses using deep inspiration breath hold with active breathing control and intensity-modulated radiation therapy for patients treated with locoregional breast irradiation.

Authors:  Vincent M Remouchamps; Frank A Vicini; Michael B Sharpe; Larry L Kestin; Alvaro A Martinez; John W Wong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-02-01       Impact factor: 7.038

Review 10.  Review of deep inspiration breath-hold techniques for the treatment of breast cancer.

Authors:  Drew Latty; Kirsty E Stuart; Wei Wang; Verity Ahern
Journal:  J Med Radiat Sci       Date:  2015-02-16
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  2 in total

1.  Preoperative spirometry and BMI in deep inspiration breath-hold radiotherapy: the early detection of cardiac and lung dose predictors without radiation exposure.

Authors:  Yutaro Koide; Hidetoshi Shimizu; Takahiro Aoyama; Tomoki Kitagawa; Risei Miyauchi; Yui Watanabe; Hiroyuki Tachibana; Takeshi Kodaira
Journal:  Radiat Oncol       Date:  2022-02-19       Impact factor: 3.481

2.  Development of deep learning chest X-ray model for cardiac dose prediction in left-sided breast cancer radiotherapy.

Authors:  Yutaro Koide; Takahiro Aoyama; Hidetoshi Shimizu; Tomoki Kitagawa; Risei Miyauchi; Hiroyuki Tachibana; Takeshi Kodaira
Journal:  Sci Rep       Date:  2022-08-12       Impact factor: 4.996

  2 in total

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