Physics and Imaging in Radiation Oncology最新文献

{"title":"Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery","authors":"Shraddha Pandey ,&nbsp;Tugce Kutuk ,&nbsp;Mahmoud A. Abdalah ,&nbsp;Olya Stringfield ,&nbsp;Harshan Ravi ,&nbsp;Matthew N. Mills ,&nbsp;Jasmine A. Graham ,&nbsp;Kujtim Latifi ,&nbsp;Wilfrido A. Moreno ,&nbsp;Kamran A. Ahmed ,&nbsp;Natarajan Raghunand","doi":"10.1016/j.phro.2024.100602","DOIUrl":"https://doi.org/10.1016/j.phro.2024.100602","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Information in multiparametric Magnetic Resonance (mpMR) images is relatable to voxel-level tumor response to Radiation Treatment (RT). We have investigated a deep learning framework to predict (i) post-treatment mpMR images from pre-treatment mpMR images and the dose map (“forward models”), and, (ii) the RT dose map that will produce prescribed changes within the Gross Tumor Volume (GTV) on post-treatment mpMR images (“inverse model”), in Breast Cancer Metastases to the Brain (BCMB) treated with Stereotactic Radiosurgery (SRS).</p></div><div><h3>Materials and methods</h3><p>Local outcomes, planning computed tomography (CT) images, dose maps, and pre-treatment and post-treatment Apparent Diffusion Coefficient of water (ADC) maps, T1-weighted unenhanced (T1w) and contrast-enhanced (T1wCE), T2-weighted (T2w) and Fluid-Attenuated Inversion Recovery (FLAIR) mpMR images were curated from 39 BCMB patients. mpMR images were co-registered to the planning CT and intensity-calibrated. A 2D pix2pix architecture was used to train 5 forward models (ADC, T2w, FLAIR, T1w, T1wCE) and 1 inverse model on 1940 slices from 18 BCMB patients, and tested on 437 slices from another 9 BCMB patients.</p></div><div><h3>Results</h3><p>Root Mean Square Percent Error (RMSPE) within the GTV between predicted and ground-truth post-RT images for the 5 forward models, in 136 test slices containing GTV, were (mean ± SD) 0.12 ± 0.044 (ADC), 0.14 ± 0.066 (T2w), 0.08 ± 0.038 (T1w), 0.13 ± 0.058 (T1wCE), and 0.09 ± 0.056 (FLAIR). RMSPE within the GTV on the same 136 test slices, between the predicted and ground-truth dose maps, was 0.37 ± 0.20 for the inverse model.</p></div><div><h3>Conclusions</h3><p>A deep learning-based approach for radiologic outcome-optimized dose planning in SRS of BCMB has been demonstrated.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100602"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000721/pdfft?md5=efffb06cbc1579bd9ae00f80c49fcd84&pid=1-s2.0-S2405631624000721-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141479447","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":"Optimizing volumetric modulated arc therapy prostate planning using an automated Fine-Tuning process through dynamic adjustment of optimization parameters","authors":"Hasan Cavus ,&nbsp;Thierry Rondagh ,&nbsp;Alexandra Jankelevitch ,&nbsp;Koen Tournel ,&nbsp;Marc Orlandini ,&nbsp;Philippe Bulens ,&nbsp;Laurence Delombaerde ,&nbsp;Kenny Geens ,&nbsp;Wouter Crijns ,&nbsp;Brigitte Reniers","doi":"10.1016/j.phro.2024.100619","DOIUrl":"10.1016/j.phro.2024.100619","url":null,"abstract":"<div><p>In radiotherapy treatment planning, optimization is essential for achieving the most favorable plan by adjusting optimization criteria. This study introduced an innovative approach to automatically fine-tune optimization parameters for volumetric modulated arc therapy prostate planning, ensuring all constraints were met. A knowledge-based planning model was invoked, and the fine-tuning process was applied through an in-house developed script. Among 25 prostate plans, this fine-tuning increased the number of plans meeting all constraints from 10/25 to 22/25, with a reduction in mean monitor units per gray without increasing plan’s complexity. This automation improved efficiency by saving time and resources in treatment planning.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100619"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000897/pdfft?md5=67b6d4c77a5c201be301070fcdd99b0c&pid=1-s2.0-S2405631624000897-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963060","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":"Balancing benefits and limitations of linear energy transfer optimization in carbon ion radiotherapy for large sacral chordomas","authors":"Giovanni Parrella ,&nbsp;Giuseppe Magro ,&nbsp;Agnieszka Chalaszczyk ,&nbsp;Marco Rotondi ,&nbsp;Mario Ciocca ,&nbsp;Lars Glimelius ,&nbsp;Maria R. Fiore ,&nbsp;Chiara Paganelli ,&nbsp;Ester Orlandi ,&nbsp;Silvia Molinelli ,&nbsp;Guido Baroni","doi":"10.1016/j.phro.2024.100624","DOIUrl":"10.1016/j.phro.2024.100624","url":null,"abstract":"<div><h3>Background and Purpose</h3><p>A low linear energy transfer (LET) in the target can reduce the effectiveness of carbon ion radiotherapy (CIRT). This study aimed at exploring benefits and limitations of LET optimization for large sacral chordomas (SC) undergoing CIRT.</p></div><div><h3>Materials and Methods</h3><p>Seventeen cases were used to tune LET-based optimization, and seven to independently test interfraction plan robustness. For each patient, a reference plan was optimized on biologically-weighted dose cost functions. For the first group, 7 LET-optimized plans were obtained by increasing the gross tumor volume (GTV) minimum LET_d (minLET_d) in the range 37–55 keV/μm, in steps of 3 keV/μm. The optimal LET-optimized plan (LET_OPT) was the one maximizing LET_d, while adhering to clinical acceptability criteria. Reference and LET_OPT plans were compared through dose and LETd metrics (D<em>_x</em>, L<em>_x</em> to x% volume) for the GTV, clinical target volume (CTV), and organs at risk (OARs). The 7 held-out cases were optimized setting minLET_d to the average GTV L_98% of the investigation cohort. Both reference and LET_OPT plans were recalculated on re-evaluation CTs and compared.</p></div><div><h3>Results</h3><p>GTV L_98% increased from (31.8 ± 2.5)keV/μm to (47.6 ± 3.1)keV/μm on the LET_OPT plans, while the fraction of GTV receiving over 50 keV/μm increased on average by 36% (p &lt; 0.001), without affecting target coverage goals, or impacting LET_d and dose to OARs. The interfraction analysis showed no significant worsening with minLET_d set to 48 keV/μm.</p></div><div><h3>Conclusion</h3><p>LET_d optimization for large SC could boost the LET_d in the GTV without significantly compromising plan quality, potentially improving the therapeutic effects of CIRT for large radioresistant tumors.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100624"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000940/pdfft?md5=be0c154498e3ac43bff0bd6054502b2c&pid=1-s2.0-S2405631624000940-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964623","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":"Delta radiomics to track radiation response in lung tumors receiving stereotactic magnetic resonance-guided radiotherapy","authors":"Yining Zha ,&nbsp;Zezhong Ye ,&nbsp;Anna Zapaishchykova ,&nbsp;John He ,&nbsp;Shu-Hui Hsu ,&nbsp;Jonathan E. Leeman ,&nbsp;Kelly J. Fitzgerald ,&nbsp;David E. Kozono ,&nbsp;Raymond H. Mak ,&nbsp;Hugo J.W.L. Aerts ,&nbsp;Benjamin H. Kann","doi":"10.1016/j.phro.2024.100626","DOIUrl":"10.1016/j.phro.2024.100626","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Lung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. However, the heterogeneous response to radiation at the tumor level poses challenges. Currently, standardized dosage regimens lack adaptation based on individual patient or tumor characteristics. Thus, we explore the potential of delta radiomics from on-treatment magnetic resonance (MR) imaging to track radiation dose response, inform personalized radiotherapy dosing, and predict outcomes.</p></div><div><h3>Materials and methods</h3><p>A retrospective study of 47 MR-guided lung SBRT treatments for 39 patients was conducted. Radiomic features were extracted using Pyradiomics, and stability was evaluated temporally and spatially. Delta radiomics were correlated with radiation dose delivery and assessed for associations with tumor control and survival with Cox regressions.</p></div><div><h3>Results</h3><p>Among 107 features, 49 demonstrated temporal stability, and 57 showed spatial stability. Fifteen stable and non-collinear features were analyzed. Median Skewness and surface to volume ratio decreased with radiation dose fraction delivery, while coarseness and 90th percentile values increased. Skewness had the largest relative median absolute changes (22 %–45 %) per fraction from baseline and was associated with locoregional failure (p = 0.012) by analysis of covariance. Skewness, Elongation, and Flatness were significantly associated with local recurrence-free survival, while tumor diameter and volume were not.</p></div><div><h3>Conclusions</h3><p>Our study establishes the feasibility and stability of delta radiomics analysis for MR-guided lung SBRT. Findings suggest that MR delta radiomics can capture short-term radiographic manifestations of the intra-tumoral radiation effect.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100626"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000964/pdfft?md5=1de0b8382c5e6c038f7c8805ee279158&pid=1-s2.0-S2405631624000964-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142012812","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":"Benefit of range uncertainty reduction in robust optimisation for proton therapy of brain, head-and-neck and breast cancer patients","authors":"Ivanka Sojat Tarp,&nbsp;Vicki Trier Taasti,&nbsp;Maria Fuglsang Jensen,&nbsp;Anne Vestergaard,&nbsp;Kenneth Jensen","doi":"10.1016/j.phro.2024.100632","DOIUrl":"10.1016/j.phro.2024.100632","url":null,"abstract":"<div><h3>Background and Purpose</h3><p>The primary cause of range uncertainty in proton therapy is inaccuracy in estimating the stopping-power ratio from computed tomography. This study examined the impact on dose-volume metrics by reducing range uncertainty in robust optimisation for a diverse patient cohort and determined the level of range uncertainty that resulted in a relevant reduction in doses to organs-at-risk (OARs).</p></div><div><h3>Materials and Methods</h3><p>The effect of reducing range uncertainty on OAR doses was evaluated by robustly optimising six proton plans with varying range uncertainty levels (ranging from 3.5% in the original plan to 1.0%), keeping setup uncertainty fixed. All plans used the initial clinical treatment plan’s beam directions and optimisation objectives and were optimised until a clinically acceptable plan was achieved across all setup and range scenarios. The effect of reduced range uncertainty on dose-volume metrics for OARs near the target was evaluated. This study included 30 brain cancer patients, as well as five head-and-neck and five breast cancer patients, investigating the relevance of reducing range uncertainty when different setup uncertainties were used.</p></div><div><h3>Results</h3><p>Lowering range uncertainty slightly reduced the nominal dose to surrounding tissue. For body volume receiving 80% of the prescribed dose, reducing range uncertainty from 3.5% to 2.0% resulted in a median decrease of 4 cm³ for the brain, 17 cm³ for head-and-neck, and 27 cm³ for breast cancer patients.</p></div><div><h3>Conclusions</h3><p>Reducing range uncertainty in robust optimisation showed a reduction in dose to OARs. The clinical relevance depends on the affected organs and the clinical dose constraints.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100632"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624001027/pdfft?md5=40ea3b02cd9b1b02dc1f30a7b0acf9f4&pid=1-s2.0-S2405631624001027-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048381","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":"Correlation between local instantaneous dose rate and oxygen pressure reduction during proton pencil beam scanning irradiation","authors":"Eleni Kanouta ,&nbsp;Jacob Graversen Johansen ,&nbsp;Sara Poulsen ,&nbsp;Line Kristensen ,&nbsp;Brita Singers Sørensen ,&nbsp;Cai Grau ,&nbsp;Morten Busk ,&nbsp;Per Rugaard Poulsen","doi":"10.1016/j.phro.2024.100614","DOIUrl":"10.1016/j.phro.2024.100614","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Oxygen dynamics may be important for the tissue-sparing effect observed at ultra-high dose rates (FLASH sparing effect). This study investigated the correlation between local instantaneous dose rate and radiation-induced oxygen pressure reduction during proton pencil beam scanning (PBS) irradiations of a sample and quantified the oxygen consumption g-value.</p></div><div><h3>Materials and methods</h3><p>A 0.2 ml phosphorescent sample (1 μM PtG4 Oxyphor probe in saline) was irradiated with a 244 MeV proton PBS beam. Four irradiations were performed with variations of a PBS spot pattern with 5 × 7 spots. During irradiation, the partial oxygen pressure (pO₂) was measured with 4.5 Hz temporal resolution with a phosphorometer (Oxyled) that optically excited the probe and recorded the subsequently emitted light. A calibration was performed to calculate the pO₂ level from the measured phosphorescence lifetime. A fiber-coupled scintillator simultaneously measured the instantaneous dose rate in the sample with 50 kHz sampling rate. The oxygen consumption g-value was determined on a spot-by-spot level and using the total pO₂ change for full spot pattern irradiation.</p></div><div><h3>Results</h3><p>A high correlation was found between the local instantaneous dose rate and pO₂ reduction rate, with a correlation coefficient of 0.96–0.99. The g-vales were 0.18 ± 0.01 mmHg/Gy on a spot-by-spot level and 0.17 ± 0.01 mmHg/Gy for full spot pattern irradiation.</p></div><div><h3>Conclusions</h3><p>The pO₂ reduction rate was directly related to the local instantaneous dose rate per delivered spot in PBS deliveries. The methodology presented here can be applied to irradiation at ultra-high dose rates with modifications in the experimental setup.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100614"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000848/pdfft?md5=208a49b4c62262ac9e7dcbf5e7a6ba13&pid=1-s2.0-S2405631624000848-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853451","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":"A treatment-site-specific evaluation of commercial synthetic computed tomography solutions for proton therapy","authors":"Ping Lin Yeap ,&nbsp;Yun Ming Wong ,&nbsp;Kang Hao Lee ,&nbsp;Calvin Wei Yang Koh ,&nbsp;Kah Seng Lew ,&nbsp;Clifford Ghee Ann Chua ,&nbsp;Andrew Wibawa ,&nbsp;Zubin Master ,&nbsp;James Cheow Lei Lee ,&nbsp;Sung Yong Park ,&nbsp;Hong Qi Tan","doi":"10.1016/j.phro.2024.100639","DOIUrl":"10.1016/j.phro.2024.100639","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Despite the superior dose conformity of proton therapy, the dose distribution is sensitive to daily anatomical changes, which can affect treatment accuracy. This study evaluated the dose recalculation accuracy of two synthetic computed tomography (sCT) generation algorithms in a commercial treatment planning system.</p></div><div><h3>Materials and methods</h3><p>The evaluation was conducted for head-and-neck, thorax-and-abdomen, and pelvis sites treated with proton therapy. Thirty patients with two cone-beam computed tomography (CBCT) scans each were selected. The sCT images were generated from CBCT scans using two algorithms, Corrected CBCT (corrCBCT) and Virtual CT (vCT). Dose recalculations were performed based on these images for comparison with “ground truth” deformed CTs.</p></div><div><h3>Results</h3><p>The choice of algorithm influenced dose recalculation accuracy, particularly in high dose regions. For head-and-neck cases, the corrCBCT method showed closer agreement with the “ground truth”, while for thorax-and-abdomen and pelvis cases, the vCT algorithm yielded better results (mean percentage dose discrepancy of 0.6 %, 1.3 % and 0.5 % for the three sites, respectively, in the high dose region). Head-and-neck and pelvis cases exhibited excellent agreement in high dose regions (2 %/2 mm gamma passing rate &gt;98 %), while thorax-and-abdomen cases exhibited the largest differences, suggesting caution in sCT algorithm usage for this site. Significant systematic differences were observed in the clinical target volume and organ-at-risk doses in head-and-neck and pelvis cases, highlighting the importance of using the correct algorithm.</p></div><div><h3>Conclusions</h3><p>This study provided treatment site-specific recommendations for sCT algorithm selection in proton therapy. The findings offered insights for proton beam centers implementing adaptive radiotherapy workflows.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100639"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240563162400109X/pdfft?md5=ba78c750d5b28de5c476ae16c45a73a8&pid=1-s2.0-S240563162400109X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129785","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":"Comparison of stereotactic radiotherapy and protons for uveal melanoma patients","authors":"Emmanuelle Fleury ,&nbsp;Jean-Philippe Pignol ,&nbsp;Emine Kiliç ,&nbsp;Maaike Milder ,&nbsp;Caroline van Rij ,&nbsp;Nicole Naus ,&nbsp;Serdar Yavuzyigitoglu ,&nbsp;Wilhelm den Toom ,&nbsp;Andras Zolnay ,&nbsp;Kees Spruijt ,&nbsp;Marco van Vulpen ,&nbsp;Petra Trnková ,&nbsp;Mischa Hoogeman","doi":"10.1016/j.phro.2024.100605","DOIUrl":"https://doi.org/10.1016/j.phro.2024.100605","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Uveal melanoma (UM) is the most common primary ocular malignancy. We compared fractionated stereotactic radiotherapy (SRT) with proton therapy, including toxicity risks for UM patients.</p></div><div><h3>Materials and methods</h3><p>For a total of 66 UM patients from a single center, SRT dose distributions were compared to protons using the same planning CT. Fourteen dose-volume parameters were compared in 2-Gy equivalent dose per fraction (EQD2). Four toxicity profiles were evaluated: maculopathy, optic-neuropathy, visual acuity impairment (Profile I); neovascular glaucoma (Profile II); radiation-induced retinopathy (Profile III); and dry-eye syndrome (Profile IV). For Profile III, retina Mercator maps were generated to visualize the geographical location of dose differences.</p></div><div><h3>Results</h3><p>In 9/66 cases, (14 %) proton plans were superior for all dose-volume parameters. Higher T stages benefited more from protons in Profile I, especially tumors located within 3 mm or less from the optic nerve. In Profile II, only 9/66 cases resulted in a better proton plan. In Profile III, better retina volume sparing was always achievable with protons, with a larger gain for T3 tumors. In Profile IV, protons always reduced the risk of toxicity with a median RBE-weighted EQD2 reduction of 15.3 Gy.</p></div><div><h3>Conclusions</h3><p>This study reports the first side-by-side imaging-based planning comparison between protons and SRT for UM patients. Globally, while protons appear almost always better regarding the risk of optic-neuropathy, retinopathy and dry-eye syndrome, for other toxicity like neovascular glaucoma, a plan comparison is warranted. Choice would depend on the prioritization of risks.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100605"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000757/pdfft?md5=31bfef88b971c8f260126a467af2f91c&pid=1-s2.0-S2405631624000757-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141541856","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":"RadDeploy: A framework for integrating in-house developed software and artificial intelligence models seamlessly into radiotherapy workflows","authors":"Mathis Ersted Rasmussen ,&nbsp;Casper Dueholm Vestergaard ,&nbsp;Jesper Folsted Kallehauge ,&nbsp;Jintao Ren ,&nbsp;Maiken Haislund Guldberg ,&nbsp;Ole Nørrevang ,&nbsp;Ulrik Vindelev Elstrøm ,&nbsp;Stine Sofia Korreman","doi":"10.1016/j.phro.2024.100607","DOIUrl":"https://doi.org/10.1016/j.phro.2024.100607","url":null,"abstract":"<div><p>The use of and research in automation and artificial intelligence (AI) in radiotherapy is moving with incredible pace. Many innovations do, however, not make it into the clinic. One technical reason for this may be the lack of a platform to deploy such software into clinical practice. We suggest RadDeploy as a framework for integrating containerized software in clinical workflows outside of treatment planning systems. RadDeploy supports multiple DICOM as input for model containers and can run model containers asynchronously across GPUs and computers. This technical note summarizes the inner workings of RadDeploy and demonstrates three use-cases with varying complexity.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100607"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624000770/pdfft?md5=07c43a38a273144b17afee3cbb741fc9&pid=1-s2.0-S2405631624000770-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141541857","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":"Individualized 3D-printed applicators for magnetic resonance imaging-guided brachytherapy in nasal vestibule cancer","authors":"Mischa de Ridder ,&nbsp;Milena Smolic ,&nbsp;Maarten Kastelijns ,&nbsp;Samantha Kloosterman ,&nbsp;Stefan van der Vegt ,&nbsp;Johannes A. Rijken ,&nbsp;Ina M. Jürgenliemk-Schulz ,&nbsp;Homan Dehnad ,&nbsp;Petra S. Kroon ,&nbsp;Marinus A. Moerland","doi":"10.1016/j.phro.2024.100629","DOIUrl":"10.1016/j.phro.2024.100629","url":null,"abstract":"<div><h3>Background and purpose</h3><p>Brachytherapy is treatment of choice for early stage nasal vestibule cancer. Over the years improvements were achieved by means of image guided target definition, interstitial implant techniques and also individual mold techniques. The aim of this study was to improve the technique of the implant so that the need for interstitial catheters can be limited by making use of patient individualized 3D-printed applicators.</p></div><div><h3>Materials and Methods</h3><p>In 19 patients 3D-printed applicators were used to deliver pulse dose rate (PDR) brachytherapy. All patients underwent computed tomography (CT) and magnetic resonance imaging (MRI). A pre-plan with tumor delineation and manually optimized catheter positions to achieve tumor coverage was made. Based on the pre-plan a 3D-printed applicator was manufactured. Dose was evaluated by several indices: Conformity Index, Healthy Tissues Conformity Index, Dose Homogeneity Index, Dose non-uniformity ratio, Conformal index and high dose (HD) index.</p></div><div><h3>Results</h3><p>A high target coverage was achieved, with a median V100%_CTV of 99.1 % (range, 81.8–100 %) and median CI of 0.99 (range, 0.82–1.00), as well as a median V0.7Gy_GTV of 100 % (range, 93.0–100 %). The median HD was 0.39 (range, 0.20–0.83). Interstitial catheters were needed in 12 patients. None of the patients developed grade ≥ II toxicity within the median follow up of 18 months.</p></div><div><h3>Conclusions</h3><p>This study shows that using 3D-printed applicators limits the need for interstitial catheters and also limits the high doses in normal tissue.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"31 ","pages":"Article 100629"},"PeriodicalIF":3.4,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240563162400099X/pdfft?md5=e60301b7e39f906cb6252499405c2c3b&pid=1-s2.0-S240563162400099X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048390","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}