Physical and Engineering Sciences in Medicine最新文献

Enhancing percutaneous coronary intervention using TriVOCTNet: a multi-task deep learning model for comprehensive intravascular optical coherence tomography analysis.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-01-06 DOI: 10.1007/s13246-024-01509-7

Yu Shi Lau, Li Kuo Tan, Kok Han Chee, Chow Khuen Chan, Yih Miin Liew

{"title":"Enhancing percutaneous coronary intervention using TriVOCTNet: a multi-task deep learning model for comprehensive intravascular optical coherence tomography analysis.","authors":"Yu Shi Lau, Li Kuo Tan, Kok Han Chee, Chow Khuen Chan, Yih Miin Liew","doi":"10.1007/s13246-024-01509-7","DOIUrl":"https://doi.org/10.1007/s13246-024-01509-7","url":null,"abstract":"Neointimal coverage and stent apposition, as assessed from intravascular optical coherence tomography (IVOCT) images, are crucial for optimizing percutaneous coronary intervention (PCI). Existing state-of-the-art computer algorithms designed to automate this analysis often treat lumen and stent segmentations as separate target entities, applicable only to a single stent type and overlook automation of preselecting which pullback segments need segmentation, thus limit their practicality. This study aimed for an algorithm capable of intelligently handling the entire IVOCT pullback across different phases of PCI and clinical scenarios, including the presence and coexistence of metal and bioresorbable vascular scaffold (BVS), stent types. We propose a multi-task deep learning model, named TriVOCTNet, that automates image classification/selection, lumen segmentation and stent struts segmentation within a single network by integrating classification, regression and pixel-level segmentation models. This approach allowed a single-network, single-pass implementation with all tasks parallelized for speed and convenience. A joint loss function was specifically designed to optimize each task in situations where each task may or may not be present. Evaluation on 4,746 images achieved classification accuracies of 0.999, 0.997, and 0.998 for lumen, BVS, and metal stent features, respectively. The lumen segmentation performance showed a Euclidean distance error of 21.72 μm and Dice's coefficient of 0.985. For BVS struts segmentation, the Dice's coefficient was 0.896, and for metal stent struts segmentation, the precision was 0.895 and sensitivity was 0.868. TriVOCTNet highlights its clinical potential due to its fast and accurate results, and simplicity in handling all tasks and scenarios through a single system.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SchizoLMNet: a modified lightweight MobileNetV2- architecture for automated schizophrenia detection using EEG-derived spectrograms.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-01-06 DOI: 10.1007/s13246-024-01512-y

A Prabhakara Rao, Rakesh Ranjan, Bikash Chandra Sahana, G Prasanna Kumar

{"title":"SchizoLMNet: a modified lightweight MobileNetV2- architecture for automated schizophrenia detection using EEG-derived spectrograms.","authors":"A Prabhakara Rao, Rakesh Ranjan, Bikash Chandra Sahana, G Prasanna Kumar","doi":"10.1007/s13246-024-01512-y","DOIUrl":"https://doi.org/10.1007/s13246-024-01512-y","url":null,"abstract":"Schizophrenia (SZ) is a chronic neuropsychiatric disorder characterized by disturbances in cognitive, perceptual, social, emotional, and behavioral functions. The conventional SZ diagnosis relies on subjective assessments of individuals by psychiatrists, which can result in bias, prolonged procedures, and potentially false diagnoses. This emphasizes the crucial need for early detection and treatment of SZ to provide timely support and minimize long-term impacts. Utilizing the ability of electroencephalogram (EEG) signals to capture brain activity dynamics, this article introduces a novel lightweight modified MobileNetV2- architecture (SchizoLMNet) for efficiently diagnosing SZ using spectrogram images derived from selected EEG channel data. The proposed methodology involves preprocessing of raw EEG data of 81 subjects collected from Kaggle data repository. Short-time Fourier transform (STFT) is applied to transform pre-processed EEG signals into spectrogram images followed by data augmentation. Further, the generated images are subjected to deep learning (DL) models to perform the binary classification task. Utilizing the proposed model, it achieved accuracies of 98.17%, 97.03%, and 95.55% for SZ versus healthy classification in hold-out, subject independent testing, and subject-dependent testing respectively. The SchizoLMNet model demonstrates superior performance compared to various pretrained DL models and state-of-the-art techniques. The proposed framework will be further translated into real-time clinical settings through a mobile edge computing device. This innovative approach will serve as a bridge between medical staff and patients, facilitating intelligent communication and assisting in effective SZ management.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Use of a virtual phantom to assess the capability of a treatment planning system to perform magnetic resonance image distortion correction.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-01-06 DOI: 10.1007/s13246-024-01515-9

Rogelio Manuel Diaz Moreno, Gonzalo Nuñez, C Daniel Venencia, Roberto A Isoardi, María José Almada

{"title":"Use of a virtual phantom to assess the capability of a treatment planning system to perform magnetic resonance image distortion correction.","authors":"Rogelio Manuel Diaz Moreno, Gonzalo Nuñez, C Daniel Venencia, Roberto A Isoardi, María José Almada","doi":"10.1007/s13246-024-01515-9","DOIUrl":"https://doi.org/10.1007/s13246-024-01515-9","url":null,"abstract":"Treatment Planning Systems (TPS) offer algorithms for distortion correction (DC) of Magnetic Resonance (MR) images, whose performances demand proper evaluation. This work develops a procedure using a virtual phantom to quantitatively assess a TPS DC algorithm. Variations of the digital Brainweb MR study were created by introducing known distortions and Control Points (CPs). A synthetic Computed Tomography (sCT) study was created based upon the MR study. Elements TPS (Brainlab, Munich, Germany) was used to apply DC to the MR images, choosing the sCT as the gold standard. Deviations in the CP locations between the original images, the distorted images and the corrected images were calculated. Structural Similarity Metric (SSIM) tests were applied for further assessment of image corrections. The introduced distortion deviated the CP locations by a median (range) value of 1.8 (0.2-4.4) mm. After DC was applied, these values were reduced to 0.6 (0.1-1.9) mm. Correction of the original image deviated the CP locations by 0.2 (0-1.1) mm. The SSIM comparisons between the original and the distorted images yielded values of 0.23 and 0.67 before and after DC, respectively. The SSIM comparison of the original study, before and after DC, yielded a value of 0.97. The proposed methodology using a virtual phantom with CPs can be used to assess a TPS DC algorithm. Elements TPS effectively reduced MR distorsions below radiosurgery tolerances.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142932242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Memory enhancement by transcranial radiofrequency wave treatment occurs without appreciably increasing brain temperature.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-01-06 DOI: 10.1007/s13246-024-01508-8

Rob Baranowski, John Amschler, Dave Wittwer, Gary W Arendash

{"title":"Memory enhancement by transcranial radiofrequency wave treatment occurs without appreciably increasing brain temperature.","authors":"Rob Baranowski, John Amschler, Dave Wittwer, Gary W Arendash","doi":"10.1007/s13246-024-01508-8","DOIUrl":"https://doi.org/10.1007/s13246-024-01508-8","url":null,"abstract":"We have previously shown in small studies that full brain Transcranial Radiofrequency Wave Treatment (TRFT) to subjects with Alzheimer's Disease could stop and reverse their cognitive decline. An 8-emitter head device, the \"MemorEM\", was used in these studies to provide TRFT at 915 MHz frequency and power level of 1.6 W/kg Specific Absorption Rate (SAR) during daily 1-hour treatments. Although no deleterious side effects during up to 2.5 years of treatment were reported, it is important to rule out the possibility that brain heating will occur during TRFT in humans at a higher power level of 4.0 W/kg SAR, which is anticipated for future clinical testing in order to increase treatment intensity/efficacy to deep sub-cortical areas. To examine if brain heating occurs during a single 1-hour treatment at 4 W/kg SAR, a hollow human head phantom filled with brain-analogous gel and with an attached MemorEM head device was utilized. Brain temperatures were taken at 64 specific coordinates within the brain gel before and immediately following one-hour of TRFT. Results revealed none of the 64 sites having a temperature increase after TRFT of 1 °C or more. Indeed, 45 of the 64 sites exhibited a temperature rise of less than 0.5 °C, with just three sites exhibiting an increase between 0.75 and 0.9 °C. These results demonstrate that TRFT in a human head phantom that mimics the electromagnetic properties of the human head, does not appreciably increase brain temperature (i.e., is non-thermal) at 915 MHz frequency and 4 W/kg SAR power level. Thus, TRFT would appear to be safe at 4 W/kg for long-term daily treatments.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[^113mIn]In-RM2: a high potential agent for SPECT imaging of GRPR-expressing tumors.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2025-01-06 DOI: 10.1007/s13246-024-01510-0

Saeid Ranjbar, Seyed Mahmoud Reza Aghamiri, Saeed Rajabifar, Samaneh Zolghadri, Hassan Yousefnia

{"title":"[113mIn]In-RM2: a high potential agent for SPECT imaging of GRPR-expressing tumors.","authors":"Saeid Ranjbar, Seyed Mahmoud Reza Aghamiri, Saeed Rajabifar, Samaneh Zolghadri, Hassan Yousefnia","doi":"10.1007/s13246-024-01510-0","DOIUrl":"https://doi.org/10.1007/s13246-024-01510-0","url":null,"abstract":"Gastrin-releasing peptide receptors (GRPRs) overexpressed in many cancers are known as promising biomarkers to target tumors such as prostate, breast, and lung cancers. As the early diagnosis of the cancers can serve for better treatment of the patients, [113mIn]In-DOTA-Pip-D-Phe-Gln-Trp-Ala-Val-Gly-His-Sta-Leu-NH2 ([113mIn]In-RM2) was prepared using an in-house developed 113Sn/113mIn generator. 0.05 M HCl was chosen as the best solution for the generator elution, and 3rd-6th fractions of the generator with the highest activity concentration were used. The chemical, radiochemical, and radionuclide purities of the eluted [113mIn]InCl3 were studied using Inductively Coupled Plasma Mass Spectrometry (ICP-MS), radio thin layer chromatography (RTLC), and gamma spectrometry methods, respectively. The radiolabeled peptide was prepared in optimal conditions and the radiochemical purity (RCP) was investigated by RTLC and high-performance liquid chromatography (HPLC) methods. After stability and lipophilicity assessments, the biodistribution of the final complex was checked in normal animals by imaging and scarification. [113mIn]In-RM2 was prepared with RCP > 99% (RTLC and HPLC), and specific activity of 43.2 TBq/mmol at optimal labeling conditions. The complex was stable in human serum and PBS buffer for at least 3 h (RCP > 96%). The partition coefficient showed the hydrophilic nature of the complex which results in the fast blood clearance via urinary tract. The biodistribution studies was demonstrated high accumulation of [113mIn]In-RM2 in GRPR-expressing tissues. The results showed [113mIn]In-RM2 can be considered a high-potential agent for SPECT imaging of GRPR-expressing cancers.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2024-12-30 DOI: 10.1007/s13246-024-01503-z

Hiroshi Hamasaki, Hidetaka Arimura, Yuzo Yamasaki, Takayuki Yamamoto, Mitsuhiro Fukata, Tetsuya Matoba, Toyoyuki Kato, Kousei Ishigami

{"title":"Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.","authors":"Hiroshi Hamasaki, Hidetaka Arimura, Yuzo Yamasaki, Takayuki Yamamoto, Mitsuhiro Fukata, Tetsuya Matoba, Toyoyuki Kato, Kousei Ishigami","doi":"10.1007/s13246-024-01503-z","DOIUrl":"https://doi.org/10.1007/s13246-024-01503-z","url":null,"abstract":"This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center retrospective study analyzed 76 patients (99 vessels) with stable angina who underwent coronary CT angiography (CCTA) and had intermediate stenosis severity (40-69%) on invasive coronary angiography. LSI, defined as a resting full-cycle ratio < 0.86 or fractional flow reserve ≤ 0.80, was determined in 40 patients (46 vessels) using a hybrid resting full-cycle ratio-fractional flow reserve strategy. The resting full-cycle ratio and/or fractional flow reserve were measured using invasive coronary angiography as references for functional severity indices of coronary stenosis in the machine-learning models. LSI detection models were constructed using noninvasive machine-learning models that predicted the resting full-cycle ratio and fractional flow reserve by feeding machine-learning models with image features extracted from CCTA. The diagnostic performance of the proposed LSI detection models was assessed using a nested 10-fold cross-validation test. The LSI detection models with the highest diagnostic performance achieved an accuracy of 0.88 (95% CI: 0.81, 0.94), sensitivity of 0.78 (95% CI: 0.70, 0.86) and specificity of 0.96 (95% CI: 0.92, 1.00) on a vessel basis and 0.88 (95% CI: 0.81, 0.95), 0.80 (95% CI: 0.70, 0.86) and 0.97 (95% CI: 0.92, 1.00), respectively, on a patient basis. These findings suggest that LSI detection models with features extracted from CCTA can noninvasively detect LSI in patients with stable angina with intermediate stenosis severity.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fabrication of 3D printed hollow spheres for quality control and feasibility for use with xSPECT bone.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2024-12-30 DOI: 10.1007/s13246-024-01496-9

Tuyet Oanh Lam, Andy Young

{"title":"Fabrication of 3D printed hollow spheres for quality control and feasibility for use with xSPECT bone.","authors":"Tuyet Oanh Lam, Andy Young","doi":"10.1007/s13246-024-01496-9","DOIUrl":"https://doi.org/10.1007/s13246-024-01496-9","url":null,"abstract":"Quantitative accuracy and constancy of Siemens xSPECT Bone quantitative reconstruction algorithm (xBone) can be monitored using activity-filled hollow spheres, which could be 3D printed (3DP) to increase accessibility to phantoms. One concern is that 3D prints can have air gaps in the walls which may pose issues for attenuation correction and xBone tissue zone mapping. This study assessed the feasibility of using 3DP spheres (3DP-S) with materials PLA, PETG and Resin as substitutes for commercial hollow spheres (C-S). Phantom preparation and acquisition parameters were based on the white paper. A Jaszczak phantom was fitted with six 99mTc- and contrast-filled 3DP-S. SPECT/CT acquisitions were performed on the Siemens Intevo T6 and reconstructed with xBone. Regions-of-interest for activity concentration measurements were drawn to the internal diameter of the spheres. PLA and PETG printed via filament freeform fabrication resulted in minute air gaps, mainly at steep overhang however this did not impact xBone zone maps. Activity concentration recovery of the 3DP-S were within ± 5% of C-S when sufficient projection angles are used (P < 0.05 per equivalence two one-sided test). Spheres printed via masked stereolithography experienced minor resin pooling and increased wall thickness-the smallest sphere was not usable. Resin printing achieved the best watertightness and transparency. PLA and PETG were most affordable but construction was labour intensive. PLA performed best overall in print reproducibility and quantitative accuracy. Similarly printed hollow spheres can be used for quality control of xBone accuracy where C-S are not available. While 3D printing increases accessibility to phantoms, close oversight is required of printing conditions.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel approach in MRI signal processing for unveiling the intricacies of brain axonal organization.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2024-12-23 DOI: 10.1007/s13246-024-01504-y

Ashishi Puri, Sanjeev Kumar

{"title":"A novel approach in MRI signal processing for unveiling the intricacies of brain axonal organization.","authors":"Ashishi Puri, Sanjeev Kumar","doi":"10.1007/s13246-024-01504-y","DOIUrl":"https://doi.org/10.1007/s13246-024-01504-y","url":null,"abstract":"This article introduces an innovative methodology to unveil the intricacies of white matter fiber pathways in the brain using diffusion MRI. Relying on the rationale that traditional methods observe a significant decrease in signal intensity values in the direction of higher diffusivity, our novel approach strategically selects for diffusion-sensitizing gradient directions (dSGDs, representing the directions along which signals are generated) aligned with reduced signal intensities. By treating these selected directions as maximum diffusivity directions, we generate uniformly distributed gradient directions (GDs) around them, which are subsequently employed in the reconstruction process. This approach addresses the shortcomings of existing methods. It improves upon the uniform gradient directions (UGDs) approach, which suffers from gradient direction redundancy, and the adaptive gradient directions (AGDs) approach, which requires solving the linear system twice per voxel. Proposed method simultaneously addresses both limitations, offering a more efficient and streamlined process. The effectiveness of our proposed methodology is rigorously evaluated through simulations and experiments involving real data, showcasing its superior performance in uncovering the complex white matter fiber pathways in the brain.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142878264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Validating knowledge-based volumetric modulated arc therapy plans with a multi-institution model (broad model) using a complete open-loop dataset for prostate cancer.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2024-12-18 DOI: 10.1007/s13246-024-01505-x

Takaaki Ito, Kazuki Kubo, Ryuta Nakahara, Jun-Ichi Fukunaga, Yoshihiro Ueda, Tatsuya Kamima, Yumiko Shimizu, Makoto Hirata, Ryu Kawamorita, Kentaro Ishii, Kiyoshi Nakamatsu, Hajime Monzen

{"title":"Validating knowledge-based volumetric modulated arc therapy plans with a multi-institution model (broad model) using a complete open-loop dataset for prostate cancer.","authors":"Takaaki Ito, Kazuki Kubo, Ryuta Nakahara, Jun-Ichi Fukunaga, Yoshihiro Ueda, Tatsuya Kamima, Yumiko Shimizu, Makoto Hirata, Ryu Kawamorita, Kentaro Ishii, Kiyoshi Nakamatsu, Hajime Monzen","doi":"10.1007/s13246-024-01505-x","DOIUrl":"https://doi.org/10.1007/s13246-024-01505-x","url":null,"abstract":"This study examined the characteristics of the broad model (KBPbroad) through a complete open-loop evaluation of volumetric modulated arc therapy (VMAT) plans for prostate cancer in 30 patients at two institutions. KBPbroad, trained using 561 prostate cancer VMAT plans from five institutions with different treatment protocols, was shared with two institutions. The institutions were not involved in the creation of KBPbroad. Plan created with KBPbroad were compared with clinical plans (CPs) and plans created using a single-institution model at each institution (KBPonsite). KBPbroad maintained the target coverage of CPs while meeting dose limits across varied settings at each institution. At institution X, KBPbroad provided 40, 60, and 70 Gy (V40Gy, V60Gy, and V70Gy, respectively) to 30.8% ± 9.9%, 15.3% ± 8.5%, and 9.0% ± 6.4% of the volume at the rectal wall, respectively, which were significantly smaller than those provided by KBPonsite and CPs. At institution Y, compared with CPs, KBPbroad provided significantly greater V50Gy, V70Gy, dose to 2% of the volume (D2%) at the rectum, and D2% at the bladder but significantly lower V50Gy and V70Gy at the bladder, in addition to superior dose homogeneity and conformality at the planning target volume. Our complete open-loop evaluation of VMAT plans for prostate cancer at two institutions demonstrated the clinical effectiveness of KBPbroad at institutions producing plans with insufficient reductions in OAR doses. Thus, the quality of KBPbroad plans is likely greater than that of KBPonsite plans and CPs.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142848086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance improvements of virtual monoenergetic images in photon-counting detector CT compared with dual source dual-energy CT: Fourier-based assessment.

IF 2.4 4区医学

Physical and Engineering Sciences in Medicine Pub Date : 2024-12-10 DOI: 10.1007/s13246-024-01499-6

Hiroki Kawashima, Katsuhiro Ichikawa, Ryoichi Yoshida, Takuto Katayama, Makoto Arimoto, Jun Kataoka, Hiroji Nagata, Satoshi Kobayashi

{"title":"Performance improvements of virtual monoenergetic images in photon-counting detector CT compared with dual source dual-energy CT: Fourier-based assessment.","authors":"Hiroki Kawashima, Katsuhiro Ichikawa, Ryoichi Yoshida, Takuto Katayama, Makoto Arimoto, Jun Kataoka, Hiroji Nagata, Satoshi Kobayashi","doi":"10.1007/s13246-024-01499-6","DOIUrl":"https://doi.org/10.1007/s13246-024-01499-6","url":null,"abstract":"To confirm the performance improvement of virtual monoenergetic images (VMIs) for iodine contrast tasks in a clinical photon-counting detector CT (PCD CT) using Fourier-based assessment, compared with those in the latest-generation dual-source dual-energy CT (DECT). A water-filled bath with a diameter of 300 mm, which contains rod-shaped phantoms equivalent to diluted iodine (2 and 12 mg/mL), was scanned using PCD CT and DECT at 15, 7.5, and 3 mGy. VMIs were generated without any iterative reconstruction algorithm. Task transfer function (TTF), noise power spectrum (NPS), and slice sensitivity profile were evaluated for VMIs at 70 and 40 keV. The detectability index (d') and the squared system performance function (SPF2) calculated by TTF2/NPS were compared. At 40 keV, the d' values of PCD CT were higher (percentage increase of 25.7-39.9%) than those of DECT, whereas at 70 keV, the difference was rather small. The SPF2 values at 40 keV of PCD CT grew notably higher than those of DECT as the spatial frequency increased. The higher SPF2 values endorsed the lower image noise and the sharper edge of the rod phantom as observed. The d' and SPF2 in VMIs at 40 keV of PCD CT were notably higher than those of DECT, which endorsed the clinical advantages of PCD CT that had been previously reported in various studies.","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0