Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 179, P. 108827 - 108827

Published: July 3, 2024

Radiomics, the high-throughput extraction of quantitative imaging features from medical images, holds immense potential for advancing precision medicine in oncology and beyond. While radiomics applied to positron emission tomography (PET) offers unique insights into tumor biology treatment response, it is imperative elucidate challenges constraints inherent this domain facilitate their translation clinical practice. This review examines limitations applying PET imaging, synthesizing findings last five years (2019-2023) highlights significance addressing these realize full molecular imaging. A comprehensive search was conducted across multiple electronic databases, including PubMed, Scopus, Web Science, using keywords relevant issues Only studies published peer-reviewed journals were eligible inclusion review. Although many have highlighted predicting assessing heterogeneity, enabling risk stratification, personalized therapy selection, various regarding practical implementation proposed models still need be addressed. illustrates cancer types, encompassing both phantom investigations. The analyzed highlight importance reproducible segmentation methods, standardized pre-processing post-processing methodologies, create large multicenter registered a centralized database promote continuous validation integration

Language: Английский

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Effectiveness of Data-Driven Gating FDG PET/CT for Abdominal Region

Journal of Nuclear Medicine Technology, Journal Year: 2025, Volume and Issue: 53(1), P. 24 - 29

Published: Jan. 15, 2025

This study aimed to validate the effectiveness of MotionFree (MF) in abdominal region using 2 different PET/CT scanners determine how use MF efficiently. Methods: All 198 patients underwent respiratory-gated ¹⁸F-FDG with MF. Imaging was performed Discovery MI (DMI) and IQ (DIQ) scanners, all data were divided into groups each category (abdominal: upper lower abdomen, lesion size, <20 mm ≥20 mm; scanner group: DMI DIQ). A physician assessed whether respiratory motion artifacts reduced The SUV change rate (ΔSUV) 80 measurable lesions without calculated. relationship between ΔSUVs these compared. Results: Motion 62 (31.3%) 1 (0.5%) 51 98 (52.0%) DMI, 12 100 (12.0%) DIQ significantly higher abdomen than abdomen. ΔSUV up 58.3% 47.6% DIQ. a size less 20 those or greater. Although more effective terms artifacts, both have potential increase increased for smaller Conclusion: higher-spatial-resolution images. In SUVs To increasing acquisition time, it may be useful apply

Language: Английский

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Effects of data-driven respiratory gating on visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations

Annals of Nuclear Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Abstract Objective Data-driven respiratory gating (DDG) has recently been introduced to improve image quality in the PET portion of PET/CT examinations. The latest DDG system does not require any external equipment or extended examination time. In this study, we investigated effects new on visualization and quantification breast upper abdominal cancers, comparing results with those obtained using standard free-breathing (STD) protocol. Methods A total 223 cancer lesions (138 85 abdominal) evaluated FDG were included study. images reconstructed STD algorithms. Lesion blurring conspicuity each visually graded a three-point scale. longest diameter (LD), SUVmax, metabolic tumor volume (MTV) used for quantitative analysis. % change SUVmax MTV was calculated from metrics images. Fifty-six texture features (TFs) also evaluated. Visual scores compared between lesion location groups high low based LD, Results both significantly higher than lower, respectively, An increase decrease observed 96% 86% all lesions, respectively. Group analysis revealed that greater LD groups, Quantitative changes TFs most features. Conclusion This study demonstrated improved cancers exhibited an MTV, TFs.

Language: Английский

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Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization

Medical Physics, Journal Year: 2024, Volume and Issue: 52(2), P. 965 - 977

Published: Oct. 29, 2024

Coronary artery disease (CAD) has one of the highest mortality rates in humans worldwide. Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) provides clinicians with metabolic information non-invasively. However, there are some limitations to interpreting SPECT images performed by physicians or automatic quantitative approaches. Radiomics analyzes objectively extracting features and can potentially reveal biological characteristics that human eye cannot detect. reproducibility repeatability radiomic be highly susceptible segmentation conditions. We aimed assess extracted from uncorrected MPI-SPECT reconstructed 15 different settings before after ComBat harmonization, along evaluating effectiveness realigning feature distributions. A total 200 patients (50% normal 50% abnormal) including rest stress (without attenuation scatter corrections) were included. Images using combinations filter cut-off frequencies, orders, types, reconstruction algorithms, number iterations subsets resulting 6000 images. Image was on left ventricle first for each patient applied 14 others. 93 segmented area, used harmonize them. The intraclass correlation coefficient (ICC) overall concordance (OCCC) tests examine impact parameter robustness harmonization efficiency. ANOVA Kruskal-Wallis evaluate correcting In addition, Student's t-test, Wilcoxon rank-sum, signed-rank implemented significance level impacts made batches groups (normal vs. features. Before applying ComBat, majority (ICC: 82, OCCC: 61) achieved high (ICC/OCCC ≥ 0.900) under every batch except Reconstruction. largest smallest poor < 0.500) obtained IterationSubset Order batches, respectively. most reliable first-order (FO) gray-level co-occurrence matrix (GLCM) families. Following minimum robust increased 84, 78). Applying showed Reconstruction least responsive families, a descending order, found FO, neighborhood gray-tone difference (NGTDM), GLCM, run length (GLRLM), size zone (GLSZM), dependence (GLDM) Cut-off, Filter, batches. rank-sum test significantly differed Normal Abnormal groups. show levels across OSEM parameters MPI-SPECT. is effective distributions enhancing reproducibility.

Language: Английский

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Reproducibility of the principal component analysis (PCA)‐based data‐driven respiratory gating on texture features in non‑small cell lung cancer patients with ¹⁸F‑FDG PET/CT

Journal of Applied Clinical Medical Physics, Journal Year: 2023, Volume and Issue: 24(5)

Published: March 21, 2023

Abstract Objective Texture analysis is one of the lung cancer countermeasures in field radiomics. Even though image quality affects texture features, reproducibility principal component (PCA)‐based data‑driven respiratory gating (DDG) on features remains poorly understood. Hence, this study aimed to clarify PCA‐based DDG non‑small cell (NSCLC) patients with 18 F‐Fluorodeoxyglucose ( F‐FDG) Positron emission tomography/computed tomography (PET/CT). Methods Twenty NSCLC who underwent F‐FDG PET/CT routine clinical practice were retrospectively analyzed. Each patient's PET data reconstructed two groups no (NG‐PET) and (DDG‐PET). Forty‐six analyzed using LIFEx software. Reproducibility was evaluated Lin's concordance correlation coefficient () percentage difference (%Diff). Non‐reproducibility defined as having unacceptable strength < 0.8) a %Diff >10%. NG‐PET DDG‐PET compared Wilcoxon signed‐rank test. Results A total 3/46 (6.5%) had strength, 9/46 (19.6%) Significant differences between confirmed only 4/46 (8.7%) high features. Conclusion Although application affected several most adequate reproducibility. can be routinely used interchangeable images for feature extraction from patients.

Language: Английский

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Impact of respiratory motion on ¹⁸F‐FDG PET radiomics stability: Clinical evaluation with a digital PET scanner

Journal of Applied Clinical Medical Physics, Journal Year: 2023, Volume and Issue: 24(12)

Published: Nov. 8, 2023

18 F-FDG PET quantitative features are susceptible to respiratory motion. However, studies using clinical patient data explore the impact of motion on radiomic limited. In this study, we investigated radiomics stability with images a data-driven gating (DDG) algorithm digital scanner.A total 101 patients who underwent oncological scans were retrospectively included. A DDG combined compensation technique was used extract correction. F-FDG-avid lesions from thorax upper abdomen analyzed non-DDG and images. The segmented 40% threshold maximum standardized uptake. 725 computed lesions, including first-order, shape, texture, wavelet features. intraclass correlation coefficient (ICC) variation (COV) calculated evaluate feature stability. An ICC above 0.9 COV below 5% considered high stability.In total, 168 without correction analyzed. Our results indicated that most sensitive Overall, only 27 out (3.72%) identified as highly stable, one first-order (entropy), shape (sphericity), four gray-level co-occurrence matrix (normalized unnormalized inverse difference moment, joint entropy, sum entropy), run-length (run 20 filter-based features.Respiratory has significant stable in our study may serve potential candidates for further applications, such machine learning modeling.

Language: Английский

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Stability of radiomic features from positron emission tomography images: a phantom study comparing advanced reconstruction algorithms and ordered subset expectation maximization

Physical and Engineering Sciences in Medicine, Journal Year: 2024, Volume and Issue: 47(3), P. 929 - 937

Published: April 16, 2024

Language: Английский

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