keyword
https://read.qxmd.com/read/38633281/large-scale-dose-evaluation-of-deep-learning-organ-contours-in-head-and-neck-radiotherapy-by-leveraging-existing-plans
#1
JOURNAL ARTICLE
Prerak Mody, Merle Huiskes, Nicolas F Chaves-de-Plaza, Alice Onderwater, Rense Lamsma, Klaus Hildebrandt, Nienke Hoekstra, Eleftheria Astreinidou, Marius Staring, Frank Dankers
BACKGROUND AND PURPOSE: Retrospective dose evaluation for organ-at-risk auto-contours has previously used small cohorts due to additional manual effort required for treatment planning on auto-contours. We aimed to do this at large scale, by a) proposing and assessing an automated plan optimization workflow that used existing clinical plan parameters and b) using it for head-and-neck auto-contour dose evaluation. MATERIALS AND METHODS: Our automated workflow emulated our clinic's treatment planning protocol and reused existing clinical plan optimization parameters...
April 2024: Physics and Imaging in Radiation Oncology
https://read.qxmd.com/read/38632208/avd-yolov5-a-new-lightweight-network-architecture-for-high-speed-aortic-valve-detection-from-a-new-and-large-echocardiography-dataset
#2
JOURNAL ARTICLE
Mervenur Çakır, Murat Ekinci, Elif Baykal Kablan, Mürsel Şahin
Heart disease detection is currently gaining widespread attention as a means to enhance the accuracy of cardiologists' diagnoses from cardiac images and reduce diagnosis time. Although high-resolution computed tomography (CT) images are typically favored for heart disease detection, the drawbacks of cost and radiation exposure to patients necessitate alternative approaches. In this context, utilizing ultrasound images becomes pivotal to mitigate radiation risks and maintain cost-effectiveness. In this paper, we propose a novel lightweight model, AVD-YOLOv5, designed for automated aortic valve detection on echocardiography images...
April 18, 2024: Medical & Biological Engineering & Computing
https://read.qxmd.com/read/38606108/impact-of-bias-field-correction-on-0-35-t-pelvic-mr-images-evaluation-on-generative-adversarial-network-based-oars-auto-segmentation-and-visual-grading-assessment
#3
JOURNAL ARTICLE
Marica Vagni, Huong Elena Tran, Francesco Catucci, Giuditta Chiloiro, Andrea D'Aviero, Alessia Re, Angela Romano, Luca Boldrini, Maria Kawula, Elia Lombardo, Christopher Kurz, Guillaume Landry, Claus Belka, Luca Indovina, Maria Antonietta Gambacorta, Davide Cusumano, Lorenzo Placidi
PURPOSE: Magnetic resonance imaging (MRI)-guided radiotherapy enables adaptive treatment plans based on daily anatomical changes and accurate organ visualization. However, the bias field artifact can compromise image quality, affecting diagnostic accuracy and quantitative analyses. This study aims to assess the impact of bias field correction on 0.35 T pelvis MRIs by evaluating clinical anatomy visualization and generative adversarial network (GAN) auto-segmentation performance. MATERIALS AND METHODS: 3D simulation MRIs from 60 prostate cancer patients treated on MR-Linac (0...
2024: Frontiers in Oncology
https://read.qxmd.com/read/38599187/age-based-diagnostic-reference-levels-and-achievable-doses-for-pediatric-ct-a-survey-in-shanghai-china
#4
JOURNAL ARTICLE
Fanqiaochu Yang, Linfeng Gao
Computed tomography (CT) is extensively utilized in medical diagnostics due to its notable radiographic superiority. However, the cancer risk associated with CT examinations, particularly in children, is of significant concern. The assessment of cancer risk relies on the radiation dose to examinees. Diagnostic reference levels (DRLs) and achievable doses (ADs) were used to assess the level of radiation dose in CT examinations widely. Although the national DRLs of pediatric CT have been explored in China, few local DRLs at the city level have been assessed...
April 10, 2024: Journal of Radiological Protection: Official Journal of the Society for Radiological Protection
https://read.qxmd.com/read/38595327/cascaded-cross-attention-transformers-and-convolutional-neural-networks-for-multi-organ-segmentation-in-male-pelvic-computed-tomography
#5
JOURNAL ARTICLE
Rahul Pemmaraju, Gayoung Kim, Lina Mekki, Daniel Y Song, Junghoon Lee
PURPOSE: Segmentation of the prostate and surrounding organs at risk from computed tomography is required for radiation therapy treatment planning. We propose an automatic two-step deep learning-based segmentation pipeline that consists of an initial multi-organ segmentation network for organ localization followed by organ-specific fine segmentation. APPROACH: Initial segmentation of all target organs is performed using a hybrid convolutional-transformer model, axial cross-attention UNet...
March 2024: Journal of Medical Imaging
https://read.qxmd.com/read/38593817/lymphodose-a-lymphocyte-dose-estimation-framework-application-to-brain-radiotherapy
#6
JOURNAL ARTICLE
François de Kermenguy, Nathan Benzazon, Pauline Maury, Rémi Vauclin, Meissane M'hamdi, Vjona Cifliku, Elaine Limkin, Ibrahima Diallo, Daphné Morel, Candice Milewski, Céline Clémenson, Michele Mondini, Eric Deutsch, Charlotte Robert
Severe radiation-induced lymphopenia occurs in 40% of patients treated for primary brain tumors and is an independent risk factor of poor survival outcomes. We developed an in-silico framework that estimates the radiation doses received by lymphocytes during VMAT brain irradiation. 
Approach: We implemented a simulation consisting of two interconnected compartmental models describing the slow recirculation of lymphocytes between lymphoid organs (M_1) and the bloodstream (M_2). We used dosimetry data from 33 patients treated with chemo-radiation for glioblastoma to compare three cases of the model, corresponding to different physical and biological scenarios: H1) lymphocytes circulation only in the bloodstream i...
April 9, 2024: Physics in Medicine and Biology
https://read.qxmd.com/read/38591166/post-ct-guided-lung-biopsy-optimisation-of-the-observation-period-by-identifying-patients-at-risk-of-delayed-pneumothorax
#7
JOURNAL ARTICLE
Samantha Tan, Murray Di Loreto, Stephen Melsom, Reece Jefferies, Christopher Padgham, Glenn Boardman, Bann Saffar
INTRODUCTION: Identify the risk factors for delayed pneumothorax after lung biopsy. METHODS: A retrospective study of 355 CT-guided lung biopsies was performed at Fiona Stanley Hospital, Western Australia over 42 months. A comprehensive range of patient, lesion and procedural variables were recorded. All post-procedural complications including time, size of pneumothorax and post-biopsy radiographs were reviewed. Lasso logistic regression model was utilised to determine factors predicting patient complications...
April 9, 2024: Journal of Medical Imaging and Radiation Oncology
https://read.qxmd.com/read/38589276/the-influence-of-respiratory-movement-on-preoperative-ct-guided-localization-of-lung-nodules
#8
JOURNAL ARTICLE
Y Zeng, X Gou, P Yin, X Sui, X Chen, L Hu
AIM: To evaluate the motion amplitude of lung nodules in different locations during preoperative computed tomography (CT)-guided localization, and the influence of respiratory movement on CT-guided percutaneous lung puncture. MATERIALS AND METHODS: A consecutive cohort of 398 patients (123 men and 275 women with a mean age of 53.9 ± 10.7 years) who underwent preoperative CT-guided lung nodule localization from May 2021 to Apr 2022 were included in this retrospective study...
March 20, 2024: Clinical Radiology
https://read.qxmd.com/read/38588512/full-dose-whole-body-pet-synthesis-from-low-dose-pet-using-high-efficiency-denoising-diffusion-probabilistic-model-pet-consistency-model
#9
JOURNAL ARTICLE
Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A Nye, Hui Mao, Xiaofeng Yang
PURPOSE: Positron Emission Tomography (PET) has been a commonly used imaging modality in broad clinical applications. One of the most important tradeoffs in PET imaging is between image quality and radiation dose: high image quality comes with high radiation exposure. Improving image quality is desirable for all clinical applications while minimizing radiation exposure is needed to reduce risk to patients. METHODS: We introduce PET Consistency Model (PET-CM), an efficient diffusion-based method for generating high-quality full-dose PET images from low-dose PET images...
April 8, 2024: Medical Physics
https://read.qxmd.com/read/38582071/assessing-breast-arterial-calcification-in-mammograms-and-its-implications-for-atherosclerotic-cardiovascular-disease-risk
#10
JOURNAL ARTICLE
Shadi Azam, Rulla M Tamimi, Michele B Drotman, Kemi Babagbemi, Allison D Levy, Jessica M Peña
PURPOSE: Breast arterial calcifications (BAC) are incidentally observed on mammograms, yet their implications remain unclear. We investigated lifestyle, reproductive, and cardiovascular determinants of BAC in women undergoing mammography screening. Further, we investigated the relationship between BAC, coronary arterial calcifications (CAC) and estimated 10-year atherosclerotic cardiovascular (ASCVD) risk. METHODS: In this cross-sectional study, we obtained reproductive history and CVD risk factors from 215 women aged 18 or older who underwent mammography and cardiac computed tomographic angiography (CCTA) within a 2-year period between 2007 and 2017 at hospital...
March 13, 2024: Clinical Imaging
https://read.qxmd.com/read/38577858/long-term-clinical-outcomes-of-combined-modality-therapy-for-advanced-stage-hodgkin-lymphoma-in-the-pet-era-a-retrospective-study
#11
JOURNAL ARTICLE
Swati Chugh, Goutam Panda, Smruti Mokal, Hasmukh Jain, Bhausaheb Bagal, Nehal Khanna, Sridhar Epari, Sachin Punatar, Lingaraj Nayak, Anant Gokarn, Naveen Khattry, Manju Sengar, Siddhartha Laskar, Jayant S Goda
BACKGROUND OBJECTIVES: The role of consolidation radiation therapy (CRT) after complete metabolic response to chemotherapy in advanced-stage (stage III and IV) Hodgkin lymphoma (HL) is controversial. This study was undertaken to assess the clinical outcomes in terms of event free survival, local failure free survival and overall survival in individuals with advanced HL treated with chemotherapy and CRT. METHODS: A retrospective review was conducted to study the long-term clinical outcomes in individuals diagnosed with HL and treated with chemotherapy and CRT from 2012 to 2016 at a tertiary cancer care hospital in India...
February 1, 2024: Indian Journal of Medical Research
https://read.qxmd.com/read/38571377/breast-percent-density-changes-in-digital-mammography-pre-and-post-radiotherapy
#12
JOURNAL ARTICLE
Sana Mohammadi, Sadegh Ghaderi, Mahdi Mohammadi, Hamid Ghaznavi, Kamal Mohammadian
INTRODUCTION: Breast cancer (BC), the most frequently diagnosed malignancy among women worldwide, presents a public health challenge and affects mortality rates. Breast-conserving therapy (BCT) is a common treatment, but the risk from residual disease necessitates radiotherapy. Digital mammography monitors treatment response by identifying post-operative and radiotherapy tissue alterations, but accurate assessment of mammographic density remains a challenge. This study used OpenBreast to measure percent density (PD), offering insights into changes in mammographic density before and after BCT with radiation therapy...
April 3, 2024: Journal of Medical Radiation Sciences
https://read.qxmd.com/read/38567038/mr-based-bony-3d-models-enable-radiation-free-preoperative-patient-specific-analysis-and-3d-printing-for-scfe-patients
#13
JOURNAL ARTICLE
Till D Lerch, Tilman Kaim, Valentin Grob, Markus Hanke, Florian Schmaranzer, Simon D Steppacher, Jasmin D Busch, Kai Ziebarth
OBJECTIVES: Slipped capital femoral epiphyses (SCFE) is a common pediatric hip disease with the risk of osteoarthritis and impingement deformities, and 3D models could be useful for patient-specific analysis. Therefore, magnetic resonance imaging (MRI) bone segmentation and feasibility of 3D printing and of 3D ROM simulation using MRI-based 3D models were investigated. METHODS: A retrospective study involving 22 symptomatic patients (22 hips) with SCFE was performed...
April 2024: Journal of Children's Orthopaedics
https://read.qxmd.com/read/38564215/quality-of-large-language-model-responses-to-radiation-oncology-patient-care-questions
#14
JOURNAL ARTICLE
Amulya Yalamanchili, Bishwambhar Sengupta, Joshua Song, Sara Lim, Tarita O Thomas, Bharat B Mittal, Mohamed E Abazeed, P Troy Teo
IMPORTANCE: Artificial intelligence (AI) large language models (LLMs) demonstrate potential in simulating human-like dialogue. Their efficacy in accurate patient-clinician communication within radiation oncology has yet to be explored. OBJECTIVE: To determine an LLM's quality of responses to radiation oncology patient care questions using both domain-specific expertise and domain-agnostic metrics. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study retrieved questions and answers from websites (accessed February 1 to March 20, 2023) affiliated with the National Cancer Institute and the Radiological Society of North America...
April 1, 2024: JAMA Network Open
https://read.qxmd.com/read/38564061/ct-perfusion-map-synthesis-from-ctp-dynamic-images-using-a-learned-lstm-generative-adversarial-network-for-acute-ischemic-stroke-assessment
#15
JOURNAL ARTICLE
Mohsen Soltanpour, Pierre Boulanger, Brian Buck
Computed tomography perfusion (CTP) is a dynamic 4-dimensional imaging technique (3-dimensional volumes captured over approximately 1 min) in which cerebral blood flow is quantified by tracking the passage of a bolus of intravenous contrast with serial imaging of the brain. To diagnose and assess acute ischemic stroke, the standard method relies on summarizing acquired CTPs over the time axis to create maps that show different hemodynamic parameters, such as the timing of the bolus arrival and passage (Tmax and MTT), cerebral blood flow (CBF), and cerebral blood volume (CBV)...
April 2, 2024: Journal of Medical Systems
https://read.qxmd.com/read/38554830/deep-learning-for-rapid-estimation-of-the-out-of-field-dose-in-external-beam-photon-radiotherapy-a-proof-of-concept
#16
JOURNAL ARTICLE
Nathan Benzazon, Alexandre Carré, François de Kermenguy, Stéphane Niyoteka, Pauline Maury, Julie Colnot, Meissane M'hamdi, Mohammed El Aichi, Cristina Veres, Rodrigue Allodji, Florent de Vathaire, David Sarrut, Neige Journy, Claire Alapetite, Vincent Grégoire, Eric Deutsch, Ibrahima Diallo, Charlotte Robert
BACKGROUND AND PURPOSE: The dose deposited outside of the treatment field during external photon beam radiotherapy treatment, also known as out-of-field dose, is the subject of extensive study as it may be associated with a higher risk of developing a second cancer, and could have deleterious effects on the immune system which compromise the efficiency of combined radio-immunotherapy treatments. Out-of-field dose estimation tools developed today in research, including Monte Carlo simulations and analytical methods, are not suited to the requirements of clinical implementation because of their lack of versatility and their cumbersome application...
March 28, 2024: International Journal of Radiation Oncology, Biology, Physics
https://read.qxmd.com/read/38546854/follow-up-of-urolithiasis-patients-after-treatment-an-algorithm-from-the-eau-urolithiasis-panel
#17
REVIEW
Riccardo Lombardo, Lazaros Tzelves, Robert Geraghty, Niall F Davis, Andreas Neisius, Ales Petřík, Giovanni Gambaro, Christian Türk, Bhaskar Somani, Kay Thomas, Andreas Skolarikos
OBJECTIVE: To develop a follow-up algorithm for urinary stone patients after definitive treatment. MATERIALS AND METHODS: The panel performed a systematic review on follow-up of urinary stone patients after treatment (PROSPERO: CRD42020205739). Given the lack of comparative studies we critically evaluated the literature and reached a consensus on the follow-up scheme. RESULTS: A total of 76 studies were included in the analysis, including 17 RCTs...
March 28, 2024: World Journal of Urology
https://read.qxmd.com/read/38546749/sarcopenia-is-associated-with-chemoradiotherapy-discontinuation-and-reduced-progression-free-survival-in-glioblastoma-patients
#18
JOURNAL ARTICLE
Fabian M Troschel, Benjamin O Troschel, Maren Kloss, Johanna Jost, Niklas B Pepper, Amelie S Völk-Troschel, Rainer G Wiewrodt, Walter Stummer, Dorothee Wiewrodt, Hans Theodor Eich
PURPOSE: Sarcopenia may complicate treatment in cancer patients. Herein, we assessed whether sarcopenia measurements derived from radiation planning computed tomography (CT) were associated with complications and tumor progression during radiochemotherapy for glioblastoma. METHODS: Consecutive patients undergoing radiotherapy planning for glioblastoma between 2010 and 2021 were analyzed. Retrocervical muscle cross-sectional area (CSA) was measured via threshold-based semi-automated radiation planning CT analysis...
March 28, 2024: Strahlentherapie und Onkologie: Organ der Deutschen Röntgengesellschaft ... [et Al]
https://read.qxmd.com/read/38540213/redefining-radiation-metrics-evaluating-actual-doses-in-computed-tomography-scans
#19
JOURNAL ARTICLE
Dominika Sabiniewicz-Ziajka, Arkadiusz Szarmach, Małgorzata Grzywińska, Paweł Gać, Maciej Piskunowicz
BACKGROUND: Computed tomography (CT) contributes significantly to the collective dose from medical sources, raising concerns about potential health risks. However, existing radiation dose estimation tools, such as volume computed tomography dose index (CTDIvol), dose-length product (DLP), effective dose (ED), and size-specific dose estimate (SSDE), have limitations in accurately reflecting patient exposure. This study introduces a new parameter, size-specific dose-length product (DLPss), aiming to enhance the precision of radiation dose estimation in real-life scenarios...
March 7, 2024: Biomedicines
https://read.qxmd.com/read/38538680/clinical-outcomes-of-interstitial-lung-abnormalities-a-systematic-review-and-meta-analysis
#20
JOURNAL ARTICLE
Jinwoo Seok, Shinhee Park, Eun Chong Yoon, Hee-Young Yoon
Interstitial lung abnormalities (ILA), incidental findings on computed tomography scans, have raised concerns due to their association with worse clinical outcomes. Our meta-analysis, which included studies up to April 2023 from PubMed/MEDLINE, Embase, and Cochrane Library, aimed to clarify the impact of ILA on mortality, lung cancer development, and complications from lung cancer treatments. Risk ratios (RR) with 95% confidence intervals (CI) were calculated for outcomes. Analyzing 10 studies on ILA prognosis and 9 on cancer treatment complications, we found that ILA significantly increases the risk of overall mortality (RR 2...
March 27, 2024: Scientific Reports
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