Radiation-induced fibrosis in the boost area after three-dimensional conformal radiotherapy with a simultaneous integrated boost technique for early-stage breast cancer: A multivariable prediction model

Hammer, C.; Maduro, John H.; Bantema-Joppe, E.J.; Schaaf, Arjen van der; Laan, Hans Paul van der; Langendijk, Johannes A.; Crijns, Anne

doi:10.1016/j.radonc.2016.10.006

Cited by 25 publications

(25 citation statements)

References 13 publications

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“…Concerning treatment-related factors: systemic therapy, oncoplastic surgery, surgical specimen weight, lymphadenectomy, re-excision, postoperative seroma or oedema, a sequential or simultaneous boost, administration of the boost dose, the boost modality, dose inhomogeneity, (electron) energy and total RT dose are described [10,[13][14][15][16]26]. As reported by Hammer, most of the prognostic clinicopathological variables highly correlate with the DVH parameters derived from the dose distribution: for example, administration of boost dose, boost modality, cup size and also BMI [15]. In our analysis, Spearman correlation tests showed no correlation between V55 and surgical specimen weight and a possible correlation between V55 and BMI with r ¼ À0.17 and p value .10.…”

Section: Discussionmentioning

confidence: 99%

“…However, a boost is advised in all young patients according to current guidelines and we can presume AO is mainly important for those younger patients [27]. V55 thereby is a clinically relevant parameter and strategies to lower the value have already been reported in literature [14,15]. Van der Laan et al have shown that by using the simultaneous integrated boost (SIB) technique, the mean volume of the breast receiving !107% of the breast dose (this is 53.5 Gy) was reduced by 20%.…”

Section: Discussionmentioning

confidence: 99%

“…Furtheron, the mean volume outside the boost planning target volume (PTV) receiving !95% of the boost dose (this is 62.7 Gy) was reduced by 54% [28]. In another study, the group of Groningen has recently developed an NTCP model for late physician-rated fibrosis in the boost area and V55 thereby is one of the 4 withheld parameters [15]. Hurkmans et al have compared treatment plans with tangential field intensity-modulated RT followed by a sequential boost with a SIB technique using inverse optimization.…”

Section: Discussionmentioning

confidence: 99%

“…Clinicopathological variables known to be associated with AO were collected [10,[13][14][15][16]. Dose-volume metrics for the breast were assessed from the individual patient RT plans.…”

Section: Data Managementmentioning

confidence: 99%

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Development of a normal tissue complication probability model for late unfavourable aesthetic outcome after breast-conserving therapy

et al. 2018

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Clinicopathological variables known to be associated with AO were collected [10,[13][14][15][16]. Dose-volume metrics for the breast were assessed from the individual patient RT plans.…”

Section: Data Managementmentioning

confidence: 99%

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Development of a normal tissue complication probability model for late unfavourable aesthetic outcome after breast-conserving therapy

et al. 2018

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“…Physical therapy, anti- inflammatory drugs, tamoxifen, and palliative surgery have been recommended in some studies (3,4). Prophylaxis for radiation fibrosis syndrome consists of suitable and meticulous field marking and preservation of tumor-free tissues (5,6). Some studies show possible benefits of pentoxifylline, vitamin E combination (7).…”

Section: Discussionmentioning

confidence: 99%

Radiation Fibrosis Syndrome Imitating Breast Cancer Recurrence; A Case Report

2017

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Nowadays, surgery, radiotherapy and chemotherapy are the most frequently used modalities in the treatment of breast cancer. It is very well-known that some severe complications may result from after these treatments. Early and late complications of radiotherapy are well known. The complications of radiation therapy may be seen in (early) or after three months (late-delayed) of periods. These complications may be related with direct or indirect effect of radiation. The radiation fibrosis syndrome is a progressive fibrotic tissue sclerosis together with various clinical symptoms in the irradiation field. It is usually a late finding of radiation therapy and may be seen weeks or even years after the treatment. Many systems such as musculo-skeletal, soft tissue, neural tissue and cardiopulmonary system may be affected. In this report, we present a case of a breast cancer treated with breast conserving surgery and radiation therapy twelve years ago. The patient had ipsilateral lymphedema, right axillary mass, and pain during arm and shoulder mobilization. Her physical examination and radiologic findings revealed a big mass invading right thoracic wall, thoracic cavity and the axilla. Histopathological evaluation performed after tru-cut and open biopsy from the mass showed fibrosis resulting from radiation therapy.

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Machine learning‐based radiomics nomograms to predict number of fields in postoperative IMRT for breast cancer

Mao,

Di,

Zong

et al. 2023

J Applied Clin Med Phys

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BackgroundBreast cancer is now the most commonly diagnosed cancer in women worldwide. Radiotherapy is an important part of the treatment for breast cancer, while setting proper number of fields dramatically affects the benefits one can receive. Machine learning and radiomics have been widely investigated in the management of breast cancer. This study aims to provide models to predict the best number of fields based on machine learning and improve the prediction performance by adding clinical factors.MethodsTwo‐hundred forty‐two breast cancer patients were retrospectively enrolled for this study, all of whom received postoperative intensity modulated radiation therapy. The patients were randomized into a training set and a validation set at a ratio of 7:3. Radiomics shape features were extracted for eight machine learning algorithms to predict the number of fields. Univariate and multivariable logistic regression were implemented to screen clinical factors. A combined model of rad‐score and clinical factors were finally constructed. The area under receiver operating characteristic curve, precision, recall, F1 measure and accuracy were used to evaluate the model.ResultsRandom Forest outperformed from eight machine learning algorithms while predicting the number of fields. Prediction performance of the radiomics model was better than the clinical model, while the predictive nomogram combining the rad‐score and clinical factors performed the best.ConclusionsThe model combining rad‐score and clinical factors performed the best. Nomograms constructed from the combined models can be of reliable references for medical dosimetrists.

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Radiation-induced fibrosis in the boost area after three-dimensional conformal radiotherapy with a simultaneous integrated boost technique for early-stage breast cancer: A multivariable prediction model

Cited by 25 publications

References 13 publications

Development of a normal tissue complication probability model for late unfavourable aesthetic outcome after breast-conserving therapy

Development of a normal tissue complication probability model for late unfavourable aesthetic outcome after breast-conserving therapy

Radiation Fibrosis Syndrome Imitating Breast Cancer Recurrence; A Case Report

Machine learning‐based radiomics nomograms to predict number of fields in postoperative IMRT for breast cancer

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