Radiotherapy For Breast Cancer Research Articles

A quality assurance framework for routine monitoring of deep learning cardiac substructure computed tomography segmentation models in radiotherapy.

For autosegmentation models, the data used to train the model (e.g., public datasets and/or vendor-collected data) and the data on which the model is deployed in the clinic are typically not the same, potentially impacting the performance of these models by a process called domain shift. Tools to routinely monitor and predict segmentation performance are needed for quality assurance. Here, we develop an approach to perform such monitoring and performance prediction for cardiac substructure segmentation. To develop a quality assurance (QA) framework for routine or continuous monitoring of domain shift and the performance of cardiac substructure autosegmentation algorithms. A benchmark dataset consisting of computed tomography (CT) images along with manual cardiac substructure delineations of 241 breast cancer radiotherapy patients were collected, including one "normal" image domain of clean images and five "abnormal" domains containing images with artifact (metal, contrast), pathology, or quality variations due to scanner protocol differences (field of view, noise, reconstruction kernel, and slice thickness). The QA framework consisted of an image domain shift detector which operated on the input CT images and a shape quality detector on the output of an autosegmentation model, and a regression model for predicting autosegmentation model performance. The image domain shift detector was composed of a trained denoising autoencoder (DAE) and two hand-engineered image quality features to detect normal versus abnormal domains in the input CT images. The shape quality detector was a variational autoencoder (VAE) trained to estimate the shape quality of the auto-segmentation results. The output from the image domain shift and shape quality detectors was used to train a regression model to predict the per-patient segmentation accuracy, measured by Dice coefficient similarity (DSC) to physician contours. Different regression techniques were investigated including linear regression, Bagging, Gaussian process regression, random forest, and gradient boost regression. Of the 241 patients, 60 were used to train the autosegmentation models, 120 for training the QA framework, and the remaining 61 for testing the QA framework. A total of 19 autosegmentation models were used to evaluate QA framework performance, including 18 convolutional neural network (CNN)-based and one transformer-based model. When tested on the benchmark dataset, all abnormal domains resulted in a significant DSC decrease relative to the normal domain for CNN models ( ), but only for some domains for the transformer model. No significant relationship was found between the performance of an autosegmentation model and scanner protocol parameters ( ) except noise ( ). CNN-based autosegmentation models demonstrated a decreased DSC ranging from 0.07 to 0.41 with added noise, while the transformer-based model was not significantly affected (ANOVA, ). For the QA framework, linear regression models with bootstrap aggregation resulted in the highest mean absolute error (MAE) of , in predicted DSC (relative to true DSC between autosegmentation and physician). MAE was lowest when combining both input (image) detectors and output (shape) detectors compared to output detectors alone. A QA framework was able to predict cardiac substructure autosegmentation model performance for clinically anticipated "abnormal" domain shifts.

Do Barrier Films Impact Long-Term Skin Toxicity following Whole-Breast Irradiation? Objective Follow-Up of Two Randomised Trials.

Purpose: Hydrofilm, a polyurethane-based barrier film, can be used to prevent acute radiation dermatitis (RD) in adjuvant whole-breast irradiation (WBI) for breast cancer. This cost-effective prophylactic measure is currently being recommended to a growing number of patients, yet long-term safety data and its impact on late radiation-induced skin toxicity such as pigmentation changes and fibrosis have not been investigated. Methods: We objectively evaluated patients who were previously enrolled in either of two intrapatient-randomised (lateral versus medial breast halve) controlled trials on the use of Hydrofilm for RD prevention (DRKS00029665; registered on 19 July 2022). Results: Sixty-two patients (47.7% of the initial combined sample size) provided consent for this post-hoc examination, with a median follow-up time (range) of 58 (37-73) months. Following WBI, there was a significant increase in yellow skin tones of the entire breast when compared to baseline measurements before WBI (p < 0.001) and a significant increase of cutis, subcutis, and oedema thickness (p < 0.001, p < 0.001, and p = 0.004, respectively). At follow-up, there were no significant differences in either pigmentation changes or skin fibrosis between the Hydrofilm and standard of care breast halves. Conclusion: These data suggest that Hydrofilm can be safely used in the context of acute RD prevention, without affecting late side effects, supporting its widespread use.

Is FAST FORWARD the Way Forward in Radiotherapy for Locally Advanced Breast Cancer – Learnings From the COVID Pandemic

IntroductionLow middle-income countries (LMICs), including India, have paucity of external beam radiotherapy (RT) machines leading to prolonged wait times for RT. Delay in delivery of RT has been shown to adversely affect outcomes in locally advanced breast cancer (LABC). With the availability of results of multiple randomized controlled trials, hypofractionated RT delivered over 3 to 4 weeks became the standard of care in breast cancer RT. MethodsWe conducted a retrospective audit of 172 LABC patients treated with ultrahypofractionated adjuvant RT (radiotherapy completed in 1 week) during the COVID pandemic. Log rank and Cox-regression model used for univariate and multi-variate analyses. ResultsNo patient developed grade 3 esophagitis. Grade 2 esophagitis requiring short term narcotic analgesics was seen in 12 (6.9%) patients. Grade 2 or higher toxicity peaked between 2 and 3 weeks after RT. The estimated 2 and 3- year recurrence free survival (RFS) for the cohort is 87.1 % and 81.4 %, respectively. The estimated 2 and 3-year overall survival for the cohort is 95% and 91.3%. On multivariate analysis, presence of extra-nodal extension was found to be an independent factor associated with worse RFS (P = .028). ConclusionsFAST FORWARD protocol RT in LABC appears well tolerated.

The Role of Post-Mastectomy Radiotherapy in T1-2N1 Breast Cancer Patients: Propensity Score Matched Analysis.

This study aimed to evaluate the role of post-mastectomy radiotherapy (PMRT) in T1-2N1 breast cancer. Between 2006 and 2014, a total of 504 patients with T1-2N1 breast cancer were analyzed. PMRT was administered to 71 patients, and 1:2 propensity score matching (PSM) was performed between the PMRT and non-PMRT groups. Loco-regional control (LRC), disease-free survival (DFS), and overall survival (OS) rates were compared according to PMRT status. Thirteen and one loco-regional recurrences were observed in the PMRT and non-PMRT groups, respectively. Before PSM, the 8-year LRC, DFS, and OS rates in the non-PMRT and PMRT groups were 98.5% and 96.5% (p = 0.426), 89.7% and 91.2% (p = 0.700), and 91.5% and 92.1% (p = 0.679), respectively. Corresponding rates were 95.6% and 96.5% (p = 0.365), 84.1% and 91.2% (p = 0.185), and 88.4% and 92.1% (p = 0.276), respectively, after PSM. Multivariate analysis showed that three lymph node metastases were prognostic for LRC and DFS rates and LVI for OS rate. Arm lymphedema developed in 32.4% of patients who received PMRT, which was significantly higher than the non-PMRT group (p < 0.001). Contributions of PMRT for improvement of treatments outcomes in T1-2N1 breast cancer patients were not evident, while the incidence of arm lymphedema significantly increased after PMRT. Further prospective trials are required to re-evaluate the role of PMRT.

Travel Burden to Cancer Screening and Treatment Facilities Among Washington Women: Data From an Integrated Healthcare Delivery System

Purpose To characterize distance traveled for breast cancer screening and to sites of service for breast cancer treatment, among rural and urban women served by a Washington State healthcare network. Methods Data for this study came from one of the largest not-for-profit integrated healthcare delivery systems in Washington State. Generalized linear mixed models with gamma log link function were used to examine the associations between travel distance and sociodemographic and contextual characteristics of patients. Results Median travel distance for breast cancer screening facilities, hematologist/oncologists, radiation oncologists, or surgeons was 11, 19, 23, or 11 miles, respectively. Travel distance to breast cancer screening or referral facilities was longer in non-core metropolitan ZIP codes compared to metropolitan ZIP codes. AI/AN and Hispanic women travelled longer distances to reach referral facilities compared to other racial and ethnic groups. Conclusion Disparities exist in travel distance to breast cancer screening and treatment. Further research is needed to describe sociodemographic and system level characteristics that contribute to such disparities and to discover novel approaches to alleviate this burden.

Delays in adjuvant radiotherapy for primary breast cancer is harmful, especially in low-income countries.

Our retrospective cohort study of the effects of radiotherapy delay on the oncological outcome of breast cancer patients showed a prolonged radiotherapy waiting interval was associated with a statistically significant increase in the 3-year breast cancer-specific mortality. This research should stimulate setting up protocols geared towards minimizing delays.

Radiation therapy of breast cancer in the Nahe Breast Center: first results of an analysis in the context of health services research.

The first evaluation of radiotherapy results in patients with breast cancer treated as part of amultimodal oncologic therapy in the Nahe Breast Center is presented. Analysis of the results was performed using an in-practice registry. From September 2016 to December 2017, 138 patients (median age 62.5years; range 36-94years) with breast cancer (right side, n = 67; left side, n = 71) received adjuvant radiation therapy. Of these, 103 patients received gyneco-oncologic care at the Nahe Breast Center, and 35were referred from outside breast centers. The distribution into stages was as follows: stageI, n = 48; stageII, n = 68; stageIII, n = 19; stageIV, n = 3. Neoadjuvant chemotherapy was given to 19and adjuvant chemotherapy to 50patients. Endocrine treatment was given to 120 patients. Both 3D conformal (n = 103) and intensity-modulated (n = 35) radiotherapy were performed with amodern linear accelerator. With amedian follow-up of 60months (1-67), local recurrence occurred in 4/138 (2.9%) and distant metastasis in 8/138 (5.8%) patients; 7/138 (5.1%) patients died of their tumors during the follow-up period. The actuarial 5‑year local recurrence-free survival of all patients was 97.1%, and the actuarial 5‑year overall survival of all patients was 94.9%. We observed no grade3 or4 radiogenic side effects. The results of radiotherapy for breast carcinoma at the Nahe Breast Center are comparable to published national and international results. In particular, the local recurrence rates in our study, determined absolutely and actuarially, are excellent, and demonstrate the usefulness of radiotherapy.

Correlation between AI-based CT organ features and normal lung dose in adjuvant radiotherapy following breast-conserving surgery: a multicenter prospective study

BackgroundRadiation pneumonitis (RP) is one of the common side effects after adjuvant radiotherapy in breast cancer. Irradiation dose to normal lung was related to RP. We aimed to propose an organ features based on deep learning (DL) model and to evaluate the correlation between normal lung dose and organ features.MethodsPatients with pathology-confirmed invasive breast cancer treated with adjuvant radiotherapy following breast-conserving surgery in four centers were included. From 2019 to 2020, a total of 230 patients from four nationwide centers in China were screened, of whom 208 were enrolled for DL modeling, and 22 patients from another three centers formed the external testing cohort. The subset of the internal testing cohort (n = 42) formed the internal correlation testing cohort for correlation analysis. The outline of the ipsilateral breast was marked with a lead wire before the scanning. Then, a DL model based on the High-Resolution Net was developed to detect the lead wire marker in each slice of the CT images automatically, and an in-house model was applied to segment the ipsilateral lung region. The mean and standard deviation of the distance error, the average precision, and average recall were used to measure the performance of the lead wire marker detection model. Based on these DL model results, we proposed an organ feature, and the Pearson correlation coefficient was calculated between the proposed organ feature and ipsilateral lung volume receiving 20 Gray (Gy) or more (V20).ResultsFor the lead wire marker detection model, the mean and standard deviation of the distance error, AP (5 mm) and AR (5 mm) reached 3.415 ± 4.529, 0.860, 0.883, and 4.189 ± 8.390, 0.848, 0.830 in the internal testing cohort and external testing cohort, respectively. The proposed organ feature calculated from the detected marker correlated with ipsilateral lung V20 (Pearson correlation coefficient, 0.542 with p < 0.001 in the internal correlation testing cohort and 0.554 with p = 0.008 in the external testing cohort).ConclusionsThe proposed artificial Intelligence-based CT organ feature was correlated with normal lung dose in adjuvant radiotherapy following breast-conserving surgery in patients with invasive breast cancer.Trial registrationNCT05609058 (08/11/2022).

Even the presence of minimal changes in regional wall motion abnormalities with exercise stress echocardiography predicts MACE and all-cause mortality in patients with previous chest radiotherapy

Abstract Background Exercise stress echocardiography (ESE) is a non-invasive, radiation-free, and widely available technique that has demonstrated a reliable accuracy for the detection of coronary artery disease (CAD). Chest radiotherapy (RT) is associated with accelerated age-related atherosclerosis and fibrosis in a dose-dependent manner. ESE plays a role as a screening tool of RT induced heart disease, however, the prognostic value of changes in regional wall motion abnormalities in this population during ESE has not been evaluated. Methods This is a retrospective cohort study of breast cancer survivors treated with adjuvant RT that underwent ESE from 2000-2020 after treatment completion. Outcomes evaluated were: major adverse cardiovascular events (MACE: cardiovascular death, myocardial infarction, revascularization and stroke); and all-cause mortality. A univariate analysis was performed to characterize the population. Continuous variables were presented as means ± standard deviation (SD) or median with quartile 1 and 3 (Q1, Q3), and categorical variables as numbers and percentages. A Cox regression model adjusted by age and cardiovascular risk factors was used to evaluate variables associated with outcomes, and a time to first event approach was used. A p-value of &amp;lt;0.05 was considered statistically significant. Results From 2000-2020, 507 patients, with a mean age 66 ± 10 years, underwent ESE at a median of 5.8 years after RT completion. The most prevalent comorbidities were dyslipidemia (59%), HTN (55%) and obesity (37%). 55% underwent RT for left-sided breast cancer and 45% for right-sided, and median RT dose was 6000 cGy. Baseline characteristics are presented in Table 1. Most patients underwent Bruce Protocol (92%). Patients exercised a mean time of 6.6 minutes achieving 7.3 METS and 109% of functional aerobic capacity (Table 2). At a median follow up of 7.8 years, 61 MACE events occurred. Predictors of MACE were double product, baseline and stress EF, baseline and peak regional wall motion abnormalities (RWMA), development of new ischemic RWMA, inability to reach 85% of maximum HR, and an abnormal EF response with stress after adjusting for age, HTN, DM, smoking history, dyslipidemia, obesity, prior MI and cancer staging (Fig 1). Predictors of all-cause mortality were METS, LV mass index, baseline and peak RWMA, development of new ischemic RWMA and an abnormal EF change with stress even after adjusting for variables described previously (Fig 2). Conclusions The development of new or worsening RWMA of just 2 segments with stress, was a significant predictor of MACE and all-cause mortality in a large cohort of breast cancer survivors undergoing multidisciplinary management including adjuvant RT. Special emphasis on management of cardiovascular comorbidities and closer surveillance are recommended for these patients.

Is dobutamine stress echocardiography a good screening tool for coronary artery disease in breast cancer patients that underwent treatment with radiotherapy?

Abstract INTRODUCTION Accelerated atherosclerosis has been described in breast cancer patients receiving cardiac exposure from adjuvant radiotherapy (RT). As a result of multidisciplinary care, breast cancer cure rates have improved in recent decades. Therefore, evaluating radiation-induced heart disease (RIHD), especially coronary artery disease (CAD), is essential. The 2022 cardio-oncology European Society of Cardiology (ESC) guidelines recommend screening patients 5 to 10 years after RT for CAD according to cardiovascular risk factors. This screening is generally recommended with exercise stress echocardiography since it can assess the physiological functional performance. Until now, it is unknown if dobutamine stress echocardiography (DSE) is an equal screening tool and if it can predict major adverse cardiovascular events (MACE) (myocardial infarction, stroke, cardiac death, revascularization). PURPOSE Evaluate if DSE is an adequate tool to stratify and predict MACE in post-radiotherapy patients. Methods A retrospective, descriptive cohort study was conducted. Patients who had chest RT for breast cancer and underwent DSE from 2000 to 2022 were included. A bivariate analysis, including Kruskal Wallis and Pearson Chi-Squared test, was done to identify variables associated with a positive DSE. A multivariable Cox Model for MACE and a time-to-event curve for MACE were also performed. Results We identified 163 patients that underwent DSE after a median time of 5.8 years from the end of RT. The median age was 74 years, 98.2% were female, 50% had left and 45% right breast cancer, 81% had hypertension, 41% diabetes mellitus, 71% dyslipidemia, 34% were smokers, and 19% had a prior myocardial infarction. The average dose of photon RT to the chest was 55Gy in the cohort, and 40% received chemotherapy before RT. Patients were divided into two groups: positive and negative DSE. A positive DSE was seen in 19.6%. The median (Q1, Q3) regional wall motion abnormalities (RWMA) of patients with a positive DSE was 1 (1, 1.015) at baseline and 1.280 (1.190, 1.520) at peak stress, and for a negative DSE, was 1 (1, 1) at baseline and peak stress. 88.2% of negative DSE and 87.5% of positive DSE achieved the target heart rate of 85%. HTN, dyslipidemia, and prior MI were significantly associated with a positive DSE (p &amp;lt;0.023). The cumulative incidence of MACE was higher in the group of positive DSE (p&amp;lt;0.001), even after adjusting for hypertension, diabetes mellitus, dyslipidemia, smoking, and prior myocardial infarction, with a hazard ratio of 2.500 (1.51 – 4.13) and a p&amp;lt; 0.001. Similar results were observed regardless of RT laterality. Conclusions In breast cancer survivors that received adjuvant radiotherapy as part of multidisciplinary care, a positive DSE was an independent predictor of MACE compared to a negative result. These results support the usefulness of dobutamine stress echocardiography as a screening tool in breast cancer survivors.Kaplan-Meier Curve for MACE

Hitting the Target: Developing High-quality Evidence for Proton Beam Therapy Through Randomised Controlled Trials

The National Health Service strategy for the delivery of proton beam therapy (PBT) in the UK provides a unique opportunity to deliver high-quality evidence for PBT through randomised controlled trials (RCTs). We present a summary of three UK PBT RCTs in progress, including consideration of their key design characteristics and outcome assessments, to inform and support future PBT trial development. The first three UK multicentre phase III PBT RCTs (TORPEdO, PARABLE and APPROACH), will compare PBT with photon radiotherapy for oropharyngeal squamous cell carcinoma, breast cancer and oligodendroglioma, respectively. All three studies were designed by multidisciplinary teams, which combined expertise from clinicians, clinical trialists and scientists with strong patient advocacy and guidance from national radiotherapy research networks and international collaborators. Consistent across all three studies is a focus on the reduction of long-term radiotherapy-related toxicities and an evaluation of patient-reported outcomes and health-related quality of life, which will address key uncertainties regarding the clinical benefits of PBT. Innovative translational components will provide insights into mechanisms of toxicity and help to frame the key future research questions regarding PBT. The UK radiotherapy research community is developing and delivering an internationally impactful PBT research portfolio. The combination of data from RCTs with prospectively collected data from a national PBT outcomes registry will provide an innovative, high-quality repository for PBT research and the platform to design and deliver future trials of PBT.

Interplay of Oncoplastic Reconstruction and Adjuvant Radiation Therapy in Breast Cancer

PurposeOncoplastic breast surgery (OBS) combines breast cancer tumor removal with the cosmetic benefits of plastic surgery at the time of breast conserving surgery. Potential advantages of OBS include wider surgical margins around the tumor bed, while the natural shape and appearance of the breast are maintained more than standard lumpectomy procedures. However, limited information is available regarding the potential impact on adjuvant radiation treatment planning. Materials and MethodsWomen with localized breast cancer undergoing lumpectomy with immediate OBS and adjuvant radiation therapy between 2014 and 2019 were reviewed. OBS was performed utilizing volume displacement techniques and patients received whole breast irradiation with three-dimensional conformal radiation therapy. ResultsVolume of additional ipsilateral breast tissue removed during OBS ranged from 21-2,086 cm3 (median 304 cm3), 29% of patients had >500 cm3 of tissue removed. Surgical margins were positive in 12.5% and were not affected by volume of breast tissue removed (445 vs 439 cm3). Patients with surgical clips more often received a lumpectomy bed boost (75.9% versus 50.0%), boost volumes were on average 157 cm3 with clips versus 205 cm3 without clips. Mean V105 was comparable in patients with >500 cm3 tissue removed and irradiated breast volume >1,000 cm3, while higher absolute volumes were found in patients with >26 cm posterior separation (58.0 cm3 vs 102.7 cm3, p=0.07). No meaningful difference was observed in Dmax or radiation coverage (95% of the volume receiving 95% of the prescription dose) for patients with >26 cm posterior separation, >500 cm3 of breast tissue removed, or irradiated breast volume >1,000 cm3. ConclusionRadiation dosimetry plans for patients undergoing oncoplastic surgery were acceptable and no significant radiation or surgical advantage was gained in patients with more tissue removed. Our study stresses the importance of clear communication between surgeons and radiation oncologists about sufficient marking of the lumpectomy cavity, utilizing practices that minimize the need for re-excisions, and minimizing lumpectomy cavity disruption during rearrangement.

Discussion to: Risk of developing subsequent primary lung cancer after receiving radiation for breast cancer

Discussion to: Risk of developing subsequent primary lung cancer after receiving radiation for breast cancer

Effective and safe regional node irradiation in early breast cancer

Effective and safe regional node irradiation in early breast cancer

Risk of developing subsequent primary lung cancer after receiving radiation for breast cancer

BackgroundRadiotherapy (RT) is integral to breast cancer treatment, especially in the current era that emphasizes breast conservation. The aim of our study was to determine the incidence of subsequent primary lung cancer after RT exposure for breast cancer over a time span of 3 decades to quantify this risk over time as modern oncologic treatment continues to evolve. MethodsThe SEER (Surveillance, Epidemiology, and End Results) database was queried from 1988 to 2014 for patients diagnosed with nonmetastatic breast cancer. Patients who subsequently developed primary lung cancer were identified. Multivariable regression modeling was performed to identify independent factors associated with the development of lung cancer stratified by follow up intervals of 5 to 9 years, 10 to 15 years, and >15 years after breast cancer diagnosis. ResultsOf the 612,746 patients who met our inclusion criteria, 319,014 (52%) were irradiated. primary lung cancer developed in 5556 patients (1.74%) in the RT group versus 4935 patients (1.68%) in the non-RT group. In a multivariable model stratified by follow-up duration, the overall HR of developing subsequent ipsilateral lung cancer in the RT group was 1.14 (P = .036) after 5 to 9 years of follow-up, 1.28 (P = .002) after 10 to 15 years of follow-up, and 1.30 (P = .014) after >15 years of follow-up. The HR of contralateral lung cancer was not increased at any time interval. ConclusionsThe increased risk of developing a primary lung cancer secondary to RT exposure for breast cancer is much lower than previously published. Modern RT techniques may have contributed to the improved risk profile, and this updated study is important for counseling and surveillance of breast cancer patients.

Five Fraction Accelerated Partial Breast Irradiation Versus Intraoperative Radiation Therapy for Early-Stage Breast Cancer

Purpose/Objective(s)Accelerated partial breast irradiation (PBI) delivered in 5 fractions with intensity modulated radiation therapy (IMRT) has been shown to have comparable clinical outcomes to whole breast irradiation with reduced toxicity profiles. In contrast, intraoperative radiation therapy (IORT) offers patients the potential to complete adjuvant radiation therapy in a single treatment. While early data were promising, concerns exist regarding long-term rates of local recurrence after IORT. We present a comparison of 5 fraction PBI versus IORT. Materials/MethodsWe performed a retrospective review of 473 patients with early-stage breast cancer treated at a single institution from 2011 to 2021 with 258 receiving PBI and 215 receiving IORT. PBI patients received 30 Gy in 5 fractions delivered with IMRT. IORT patients received 20 Gy in 1 fraction prescribed to the applicator surface at surgery using the low-energy TARGIT technique. ResultsMean age was 71 years old (IQR:67-74) for IORT patients and 67 years old (IQR:62-72) for PBI patients. Median follow up was 5.7 years (IQR:4.2-7.0) for IORT patients and 2.4 years (IQR:1.8-3.3) for PBI patients (P < .001). Recurrence at any time (locoregional and distant) was seen in 7.9% (n = 17) of patients receiving IORT as compared to 0.8% (n = 2) of patients receiving PBI. IORT was associated with reduced rates of locoregional relapse free survival at 5 years (93.6% vs. 99.4%, P = .05) with no difference in overall survival(92.8% vs. 95.1%, P = .99). ConclusionLow-energy TARGIT IORT was associated with higher rates of locoregional recurrence compared to PBI. These outcomes, consistent with other series and current guidelines, suggest a limited role for low-energy IORT as monotherapy.

Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer

BackgroundThis study aimed to evaluate an a-priori multicriteria plan optimization algorithm (mCycle) for locally advanced breast cancer radiation therapy (RT) by comparing automatically generated VMAT (Volumetric Modulated Arc Therapy) plans (AP-VMAT) with manual clinical Helical Tomotherapy (HT) plans.MethodsThe study included 25 patients who received postoperative RT using HT. The patient cohort had diverse target selections, including both left and right breast/chest wall (CW) and III-IV node, with or without internal mammary node (IMN) and Simultaneous Integrated Boost (SIB). The Planning Target Volume (PTV) was obtained by applying a 5 mm isotropic expansion to the CTV (Clinical Target Volume), with a 5 mm clip from the skin. Comparisons of dosimetric parameters and delivery/planning times were conducted. Dosimetric verification of the AP-VMAT plans was performed.ResultsThe study showed statistically significant improvements in AP-VMAT plans compared to HT for OARs (Organs At Risk) mean dose, except for the heart and ipsilateral lung. No significant differences in V95% were observed for PTV breast/CW and PTV III-IV, while increased coverage (higher V95%) was seen for PTV IMN in AP-VMAT plans. HT plans exhibited smaller values of PTV V105% for breast/CW and III-IV, with no differences in PTV IMN and boost. HT had an average (± standard deviation) delivery time of (17 ± 8) minutes, while AP-VMAT took (3 ± 1) minutes. The average γ passing rate for AP-VMAT plans was 97%±1%. Planning times reduced from an average of 6 h for HT to about 2 min for AP-VMAT.ConclusionsComparing AP-VMAT plans with clinical HT plans showed similar or improved quality. The implementation of mCycle demonstrated successful automation of the planning process for VMAT treatment of locally advanced breast cancer, significantly reducing workload.

Quantitative radiomics approach to assess acute radiation dermatitis in breast cancer patients.

We applied a radiomics approach to skin surface images to objectively assess acute radiation dermatitis in patients undergoing radiotherapy for breast cancer. A prospective cohort study of 20 patients was conducted. Skin surface images in normal, polarized, and ultraviolet (UV) modes were acquired using a skin analysis device before starting radiotherapy ('Before RT'), approximately 7 days after the first treatment ('RT D7'), on 'RT D14', and approximately 10 days after the radiotherapy ended ('After RT D10'). Eighteen types of radiomic feature ratios were calculated based on the values acquired 'Before RT'. We measured skin doses in ipsilateral breasts using optically stimulated luminescent dosimeters on the first day of radiotherapy. Clinical evaluation of acute radiation dermatitis was performed using the Radiation Therapy Oncology Group scoring criteria on 'RT D14' and 'After RT D10'. Several statistical analysis methods were used in this study to test the performance of radiomic features as indicators of radiodermatitis evaluation. As the skin was damaged by radiation, the energy for normal mode and sum variance for polarized and UV modes decreased significantly for ipsilateral breasts, whereas contralateral breasts exhibited a smaller decrease with statistical significance. The radiomic feature ratios at 'RT D7' had strong correlations to skin doses and those at 'RT D14' and 'after RT D10' with statistical significance. The energy for normal mode and sum variance for polarized and UV modes demonstrated the potential to evaluate and predict acute radiation, which assists in its appropriate management.

Intraoperative radiotherapy in breast cancer: Alterations to the tumor microenvironment and subsequent biological outcomes (Review).

Intraoperative radiotherapy (IORT) is a precise, single high‑dose irradiation directly targeting the tumor bed during surgery. In comparison with traditional external beam RT, it minimizes damage to other normal tissues, ensures an adequate dose to the tumor bed and results in improved cosmetic outcomes and quality of life. Furthermore, IORT offers a shorter treatment duration, lower economic costs and therapeutic efficacy comparable with traditional RT. However, its relatively higher local recurrence rate limits its further clinical applications. Identifying effective radiosensitizing drugs and rational RT protocols will improve its advantages. Furthermore, IORT may not only damage DNA to directly kill breast tumor cells but also alter the tumor microenvironment (TME) to exert a sustained antitumor effect. Specific doses of IORT may exert anti‑angiogenic effects, and consequently antitumor effects, by impacting post‑radiation peripheral blood levels of vascular endothelial growth factor and delta‑like 4. IORT may also modify the postoperative wound fluid composition to continuously inhibit tumor growth, e.g. by reducing components such as microRNA (miR)‑21, miR‑221, miR‑115, oncostatin M, TNF‑β, IL‑6 and IL‑8, and by elevating levels of components such as miR‑223, to inhibit the ability of postoperative wound fluid to induce proliferation, invasion and migration of residual cancer cells. IORT can also modify cancer cell glucose metabolism to inhibit the proliferation of residual tumor cells. In addition, IORT can induce a bystander effect, eliminating the postoperative wound fluid‑induced epithelial‑mesenchymal transition and tumor stem cell phenotype. Insights gained at the molecular level may provide new directions for identifying novel therapeutic targets and approaches. A more comprehensive understanding of the effects of IORT on the breast cancer (BC) TME may further its clinical application. Hence, the present article reviews the primary effects of IORT on BC and its impact on the TME, aiming to offer fresh research perspectives for relevant professionals.

ANALISIS DOSE VOLUME HISTOGRAM (DVH) PARU-PARU DAN JANTUNG PADA KASUS KANKER PAYUDARA DENGAN TEKNIK 3DCRT

Anatomically, the background of this research focuses on Organ At Risk (OAR), specifically the lungs and the heart, which exist adjacent to the chest wall and consequently receive radiation during radiotherapy. Therefore, efforts to limit the radiation dose to OAR are necessary to minimize the risk of secondary cancers after conducting radiotherapy. The success of therapy also relies on the Treatment Planning System (TPS) for accurate dose planning. The TPS calculates the dose delivered to the patient, which is then displayed as a Dose Volume Histogram (DVH). The objective of this research is to analyze the results of a Dose Volume Histogram (DVH) for organs at Risk (OAR), specifically lungs and heart, as well as Planning Target Volume (PTV) in the cases of breast cancer using the 3DCRT technique. The research design used is a descriptive quantitative comparative analysis through observation. This study was conducted from February to March 2023 at the Radiotherapy Installation of a Hospital in the Jakarta Region. The research involved ten breast cancer patients with a total dose of 50 Gy in 25 times 6 MV energy fraction using the 3DCRT technique. Data analysis was performed using statistical tests with SPSS version 25. The result of this study showed that the average dose received by Organs At Risk (OAR) for the lungs and heart did not exceed the tolerance limits set out by RTOG 0623 (p-value &lt;0.05). The average dose value at 95% Planning Target Volume (PTV) is 0.328 (p-value &gt; 0.05), which means there is no difference in the dose received by 95% PTV or 95% PTV ≥ 4750 cGy. Meanwhile, at 107%, PTV is 0.003 (p-value &lt;0.05), which means there is a difference in the dose received by 107% PTV or 107% PTV ≤ 5350 cGy. The conclusion of this research is that compared to other techniques, and the 3DCRT technique is more often used in breast cancer radiotherapy because of its ability to provide good OAR protection with more limited resources and time. Keywords: breast cancer, 3DCRT, Dose Volume Histogram (DVH), Organ At Risk (OAR), Planning Target Volume (PTV).