{"title":"Hypofractionated radiation therapy for head and neck cancers in the era of intensity-modulated radiation therapy.","authors":"Keun-Yong Eom","doi":"10.3857/roj.2024.00178","DOIUrl":"10.3857/roj.2024.00178","url":null,"abstract":"","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"42 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10982057/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interobserver delineation variability of computed tomography-based radiomic features of the parotid gland.","authors":"Kanyapat Buasawat, Sasikarn Chamchod, Todsaporn Fuangrod, Sawanee Suntiwong, Thiansin Liamsuwan","doi":"10.3857/roj.2023.00605","DOIUrl":"10.3857/roj.2023.00605","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the interobserver delineation variability of radiomic features of the parotid gland from computed tomography (CT) images and evaluate the correlation of these features for head and neck cancer (HNC) radiotherapy patients.</p><p><strong>Materials and methods: </strong>Contrast-enhanced CT images of 20 HNC patients were utilized. The parotid glands were delineated by treating radiation oncologists (ROs), a selected RO and AccuContour auto-segmentation software. Dice similarity coefficients (DSCs) between each pair of observers were calculated. A total of 107 radiomic features were extracted, whose robustness to interobserver delineation was assessed using the intraclass correlation coefficient (ICC). Pearson correlation coefficients (r) were calculated to determine the relationship between the features. The influence of excluding unrobust features from normal tissue complication probability (NTCP) modeling was investigated for severe oral mucositis (grade ≥3).</p><p><strong>Results: </strong>The average DSC was 0.84 (95% confidence interval, 0.83-0.86). Most of the shape features demonstrated robustness (ICC ≥0.75), while the first-order and texture features were influenced by delineation variability. Among the three observers investigated, 42 features were sufficiently robust, out of which 36 features exhibited weak correlation (|r|<0.8). No significant difference in the robustness level was found when comparing manual segmentation by a single RO or automated segmentation with the actual clinical contour data made by treating ROs. Excluding unrobust features from the NTCP model for severe oral mucositis did not deteriorate the model performance.</p><p><strong>Conclusion: </strong>Interobserver delineation variability had substantial impact on radiomic features of the parotid gland. Both manual and automated segmentation methods contributed similarly to this variation.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"42 1","pages":"63-73"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10982058/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radiomics in stereotactic body radiotherapy for non-small cell lung cancer: a systematic review and radiomic quality score study.","authors":"Ben Man Fei Cheung","doi":"10.3857/roj.2023.00612","DOIUrl":"10.3857/roj.2023.00612","url":null,"abstract":"<p><strong>Purpose: </strong>Stereotactic body radiotherapy (SBRT) has been widely utilized for curative treatment of early-stage non-small cell lung cancer (NSCLC). It has achieved good local control rate comparable to surgery. Currently, no standard risk model exists for SBRT outcome or complication prediction. Radiomics has the potential to improve clinical outcome prognostication. Here, we reviewed the current literature on the radiomic analyses of thoracic SBRT through the use of radiomic quality score (RQS).</p><p><strong>Materials and methods: </strong>Literature search was conducted on PubMed and Embase to retrieve radiomics studies on SBRT for early NSCLC. The literature search included studies up to June 2021. Only full papers published in peer reviewed journals were included. Studies that included metastatic lung cancers or non-lung cancers were excluded. Two independent investigators evaluated each study using the RQS and resolved discrepancies through discussion.</p><p><strong>Results: </strong>A total number of 25 studies were analysed. The mean RQS was 7.76 of a maximum score of 36. This corresponds to 21.56% of the maximum score. Lack of feature reduction strategies, external validation and open data sharing were identified as key limitations of the reviewed studies. Meanwhile, various common radiomic signatures across different studies such as gray level co-occurrence matrix Homogeneity and energy have been identified. Multiple robust radiomic models have also been reviewed that may improve outcome or complication prediction.</p><p><strong>Conclusion: </strong>Radiomics in thoracic SBRT has a very promising future as a prognostication tool. However, larger multicenter prospective studies are required to confirm radiomic signatures. Improvement in future study methodologies can also facilitate its wider application.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"42 1","pages":"4-16"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10982060/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soo-Yoon Sung, Jin Ho Song, Byoung Hyuck Kim, Yoo-Kang Kwak, Kyung Su Kim, Gyu Sang Yoo, Hwa Kyung Byun, Yeon Joo Kim, Yeon-Sil Kim
{"title":"Evidence-based clinical recommendations for hypofractionated radiotherapy: exploring efficacy and safety - Part 1. Brain and head and neck.","authors":"Soo-Yoon Sung, Jin Ho Song, Byoung Hyuck Kim, Yoo-Kang Kwak, Kyung Su Kim, Gyu Sang Yoo, Hwa Kyung Byun, Yeon Joo Kim, Yeon-Sil Kim","doi":"10.3857/roj.2023.00899","DOIUrl":"10.3857/roj.2023.00899","url":null,"abstract":"<p><p>Advances in radiotherapy (RT) techniques, including intensity-modulated RT and image-guided RT, have allowed hypofractionation, increasing the fraction size over the conventional dose of 1.8-2.0 Gy. Hypofractionation offers advantages such as shorter treatment times, improved compliance, and under specific conditions, particularly in tumors with a low α/β ratio, higher efficacy. It was initially explored for use in RT for prostate cancer and adjuvant RT for breast cancer, and its application has been extended to various other malignancies. Hypofractionated RT (HFRT) may also be effective in patients who are unable to undergo conventional treatment owing to poor performance status, comorbidities, or old age. The treatment of brain tumors with HFRT is relatively common because brain stereotactic radiosurgery has been performed for over two decades. However, re-irradiation of recurrent lesions and treatment of elderly or frail patients are areas under investigation. HFRT for head and neck cancer has not been widely used because of concerns regarding late toxicity. Thus, we aimed to provide a comprehensive summary of the current evidence for HFRT for brain tumors and head and neck cancer and to offer practical recommendations to clinicians faced with the challenge of choosing new treatment options.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"42 1","pages":"17-31"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10982054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of adaptive radiotherapy on survival in locally advanced nasopharyngeal carcinoma treated with concurrent chemoradiotherapy.","authors":"Yusuke Uchinami, Koichi Yasuda, Hideki Minatogawa, Yasuhiro Dekura, Noboru Nishikawa, Rumiko Kinoshita, Kentaro Nishioka, Norio Katoh, Takashi Mori, Manami Otsuka, Naoki Miyamoto, Ryusuke Suzuki, Keiji Kobashi, Yasushi Shimizu, Jun Taguchi, Nayuta Tsushima, Satoshi Kano, Akihiro Homma, Hidefumi Aoyama","doi":"10.3857/roj.2023.00374","DOIUrl":"10.3857/roj.2023.00374","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the clinical significance of adaptive radiotherapy (ART) in locally advanced nasopharyngeal carcinoma treated with intensity-modulated radiotherapy (IMRT).</p><p><strong>Materials and methods: </strong>Eligible patients were treated with concurrent chemoradiotherapy using IMRT. Planning computed tomography in ART was performed during radiotherapy, and replanning was performed. Since ART was started in May 2011 (ART group), patients who were treated without ART up to April 2011 (non-ART group) were used as the historical control. The Kaplan-Meier method was used to calculate overall survival (OS), locoregional recurrence-free survival (LRFS), progression-free survival (PFS), and distant metastasis-free survival (DMFS). LRFS for the primary tumor (LRFS_P) and regional lymph node (LRFS_LN) were also studied for more detailed analysis. Statistical significance was evaluated using the log-rank test for survival.</p><p><strong>Results: </strong>The ART group tended to have higher radiation doses. The median follow-up period was 127 months (range, 10 to 211 months) in the non-ART group and 61.5 months (range, 5 to 129 months) in the ART group. Compared to the non-ART group, the ART group showed significantly higher 5-year PFS (53.8% vs. 81.3%, p = 0.015) and LRFS (61.2% vs. 85.3%, p = 0.024), but not OS (80.7% vs. 80.8%, p = 0.941) and DMFS (84.6% vs. 92.7%, p = 0.255). Five-year LRFS_P was higher in the ART group (61.3% vs. 90.6%, p = 0.005), but LRFS_LN did not show a significant difference (91.9% vs. 96.2%, p = 0.541).</p><p><strong>Conclusion: </strong>Although there were differences in the patient backgrounds between the two groups, this study suggests the potential effectiveness of ART in improving locoregional control, especially in the primary tumor.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"42 1","pages":"74-82"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10982056/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ru Xin Wong, Zubin Master, Eric Pang, Valerie Yang, W. S. Looi
{"title":"Pulsed low-dose rate radiotherapy for recurrent bone sarcomas: case reports and brief review","authors":"Ru Xin Wong, Zubin Master, Eric Pang, Valerie Yang, W. S. Looi","doi":"10.3857/roj.2023.00815","DOIUrl":"https://doi.org/10.3857/roj.2023.00815","url":null,"abstract":"","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"120 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ru Xin Wong, Zubin Master, Eric Pang, Valerie Yang, W. S. Looi
{"title":"Pulsed low-dose rate radiotherapy for recurrent bone sarcomas: case reports and brief review","authors":"Ru Xin Wong, Zubin Master, Eric Pang, Valerie Yang, W. S. Looi","doi":"10.3857/roj.2023.00815","DOIUrl":"https://doi.org/10.3857/roj.2023.00815","url":null,"abstract":"","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"67 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139841032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison between 1-week and 2-week palliative radiotherapy courses for superior vena cava syndrome.","authors":"Jongmoo Park, Jeong Eun Lee","doi":"10.3857/roj.2023.00626","DOIUrl":"10.3857/roj.2023.00626","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to evaluate the effectiveness of palliative radiation therapy (RT) for superior vena cava (SVC) syndrome from lung cancer and to compare the 2-week and 1-week schedules.</p><p><strong>Materials and methods: </strong>A retrospective study was conducted on lung cancer patients with palliative RT for SVC syndrome. Patients received 30 Gy in 10 fractions (2-week group) or 20 Gy in 5 fractions (1-week group) between July 2012 and June 2022. Treatment outcomes were evaluated at 1 to 2 months after RT. The tumor response and recanalization were evaluated based on the computed tomography (CT).</p><p><strong>Results: </strong>Of the 39 patients, 24 received a 2-week course RT and 15 received a 1-week course of RT. The most common SVC-associated symptoms were edema (51.3%) and dyspnea (43.6%). There were no significant differences in performance status, histology, and grade of SVC. Symptom relief in symptomatic patients was comparable (85.7% in the 2-week group vs. 91.6% in the 1-week group; p = 0.581). There were no significant differences between the 2-week and 1-week groups in recanalization rates (62.5% vs. 60.0%; p = 0.876), tumor responses (75% vs. 60.0%; p = 0.876), and 6-month overall survival rates (29.2% vs. 36.4%; p = 0.726). In each of the two groups, one patient was consulted for re-irradiation. The median survival were 3.7 months for the 2-week group and 4.4 months for the 1-week group.</p><p><strong>Conclusion: </strong>In patients with SVC syndrome, the palliative effect of a 1-week course was equivalent to that of a 2-week course. Given the poor prognosis, a 1-week course may be an option.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"41 3","pages":"178-185"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/cf/2d/roj-2023-00626.PMC10556839.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41176047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinical outcomes of radical radiotherapy for pulmonary sarcomatoid carcinoma.","authors":"Choong-Won Lee, Byoung Hyuck Kim, Hak Jae Kim","doi":"10.3857/roj.2023.00437","DOIUrl":"10.3857/roj.2023.00437","url":null,"abstract":"<p><strong>Purpose: </strong>Pulmonary sarcomatoid carcinoma (PSC) is recognized for its aggressiveness and poor prognosis. The role of radical radiotherapy in PSC remains uncertain due to its scarcity and limited data. In the absence of an effective systemic agent, this study aims to explore the possibility of cure and to investigate potential prognostic factors and treatment outcomes.</p><p><strong>Materials and methods: </strong>From January 2005 to December 2021, 149 PSC patients were identified. Among 62 patients who received radiotherapy for lung lesions, 25 who underwent palliative radiotherapy and 16 who underwent surgery were excluded.</p><p><strong>Results: </strong>The median patient age was 71 years. The majority were male, and 17 patients (81.0%) were diagnosed at an advanced stage. After radical radiotherapy, distant metastasis (47.6%) was the most common site of failure, while the local recurrence rate was quite low (9.5%). Eventually, five patients (26.3%) demonstrated either a partial response or complete remission, including three complete remissions with durable responses. The median progression-free survival (PFS) and overall survival were 4.6 months and 7.9 months, respectively. Univariate and multivariate analyses revealed that a tumor size >5 cm was associated with a worse prognosis (p = 0.045), while a radiation dose >58 GyEQD2 was significantly associated with better PFS (p = 0.038).</p><p><strong>Conclusion: </strong>This study demonstrates clinical outcomes after radical radiotherapy in managing PSC, suggesting tumor size and radiation dose could be a predictor of a systemic response. Given the known bad prognosis but complete remission could be achieved in certain subgroups, future research should explore the potential strategies using radical radiotherapy for this challenging patient population.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"41 3","pages":"163-171"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/fd/bc/roj-2023-00437.PMC10556836.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41161744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yohan Lee, Hyun Joon Choi, Hyemi Kim, Sunghyun Kim, Mi Sun Kim, Hyejung Cha, Young Ju Eum, Hyosung Cho, Jeong Eun Park, Sei Hwan You
{"title":"Feasibility of artificial intelligence-driven interfractional monitoring of organ changes by mega-voltage computed tomography in intensity-modulated radiotherapy of prostate cancer.","authors":"Yohan Lee, Hyun Joon Choi, Hyemi Kim, Sunghyun Kim, Mi Sun Kim, Hyejung Cha, Young Ju Eum, Hyosung Cho, Jeong Eun Park, Sei Hwan You","doi":"10.3857/roj.2023.00444","DOIUrl":"https://doi.org/10.3857/roj.2023.00444","url":null,"abstract":"<p><strong>Purpose: </strong>High-dose radiotherapy (RT) for localized prostate cancer requires careful consideration of target position changes and adjacent organs-at-risk (OARs), such as the rectum and bladder. Therefore, daily monitoring of target position and OAR changes is crucial in minimizing interfractional dosimetric uncertainties. For efficient monitoring of the internal condition of patients, we assessed the feasibility of an auto-segmentation of OARs on the daily acquired images, such as megavoltage computed tomography (MVCT), via a commercial artificial intelligence (AI)-based solution in this study.</p><p><strong>Materials and methods: </strong>We collected MVCT images weekly during the entire course of RT for 100 prostate cancer patients treated with the helical TomoTherapy system. Based on the manually contoured body outline, the bladder including prostate area, and rectal balloon regions for the 100 MVCT images, we trained the commercially available fully convolutional (FC)-DenseNet model and tested its auto-contouring performance.</p><p><strong>Results: </strong>Based on the optimally determined hyperparameters, the FC-DenseNet model successfully auto-contoured all regions of interest showing high dice similarity coefficient (DSC) over 0.8 and a small mean surface distance (MSD) within 1.43 mm in reference to the manually contoured data. With this well-trained AI model, we have efficiently monitored the patient's internal condition through six MVCT scans, analyzing DSC, MSD, centroid, and volume differences.</p><p><strong>Conclusion: </strong>We have verified the feasibility of utilizing a commercial AI-based model for auto-segmentation with low-quality daily MVCT images. In the future, we will establish a fast and accurate auto-segmentation and internal organ monitoring system for efficiently determining the time for adaptive replanning.</p>","PeriodicalId":94184,"journal":{"name":"Radiation oncology journal","volume":"41 3","pages":"186-198"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/10/5e/roj-2023-00444.PMC10556843.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41161778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}