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Chen J, Huang Z, Luo H, Li G, Ding Z, Tian H, Tang S, Mo S, Xu J, Wu H, Dong F. Development and validation of nomograms using photoacoustic imaging and 2D ultrasound to predict breast nodule benignity and malignancy. Postgrad Med J 2024; 100:309-318. [PMID: 38275274 DOI: 10.1093/postmj/qgad146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/03/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024]
Abstract
BACKGROUND The application of photoacoustic imaging (PAI), utilizing laser-induced ultrasound, shows potential in assessing blood oxygenation in breast nodules. However, its effectiveness in distinguishing between malignant and benign nodules remains insufficiently explored. PURPOSE This study aims to develop nomogram models for predicting the benign or malignant nature of breast nodules using PAI. METHOD A prospective cohort study enrolled 369 breast nodules, subjecting them to PAI and ultrasound examination. The training and testing cohorts were randomly divided into two cohorts in a ratio of 3:1. Based on the source of the variables, three models were developed, Model 1: photoacoustic-BIRADS+BMI + blood oxygenation, Model 2: BIRADS+Shape+Intranodal blood (Doppler) + BMI, Model 3: photoacoustic-BIRADS+BIRADS+ Shape+Intranodal blood (Doppler) + BMI + blood oxygenation. Risk factors were identified through logistic regression, resulting in the creation of three predictive models. These models were evaluated using calibration curves, subject receiver operating characteristic (ROC), and decision curve analysis. RESULTS The area under the ROC curve for the training cohort was 0.91 (95% confidence interval, 95% CI: 0.88-0.95), 0.92 (95% CI: 0.89-0.95), and 0.97 (95% CI: 0.96-0.99) for Models 1-3, and the ROC curve for the testing cohort was 0.95 (95% CI: 0.91-0.98), 0.89 (95% CI: 0.83-0.96), and 0.97 (95% CI: 0.95-0.99) for Models 1-3. CONCLUSIONS The calibration curves demonstrate that the model's predictions agree with the actual values. Decision curve analysis suggests a good clinical application.
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Affiliation(s)
- Jing Chen
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Zhibin Huang
- Ultrasound Department, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong 518020, China
| | - Hui Luo
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Guoqiu Li
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Zhimin Ding
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Hongtian Tian
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Shuzhen Tang
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Sijie Mo
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Jinfeng Xu
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Huaiyu Wu
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
| | - Fajin Dong
- Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong 518020, China
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Di Gregorio E, Scarciglia A, Amaolo A, Ferrauto G. Mn(iii), Fe(iii) and Zn(ii)-serum albumin as innovative multicolour contrast agents for photoacoustic imaging. NANOSCALE ADVANCES 2024; 6:777-781. [PMID: 38298593 PMCID: PMC10825928 DOI: 10.1039/d3na00843f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/22/2023] [Indexed: 02/02/2024]
Abstract
Here we propose innovative photoacoustic imaging (PAI) contrast agents, based on the loading of Mn(iii)-, Fe(iii)- or Zn(ii)-protoporphyrin IX in serum albumin. These systems show different absorption wavelengths, opening the way to multicolor PA imaging. They were characterized in vitro for assessing stability, biocompatibility, and their optical and contrastographic properties. Finally, a proof of concept in vivo study was carried out in breast cancer bearing mice, to evaluate its effectiveness for cancer imaging.
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Affiliation(s)
- Enza Di Gregorio
- Department of Molecular Biotechnology, Molecular Imaging Center, University of Torino Via Nizza 42 10126 Torino Italy +39 0116708459
| | - Angelo Scarciglia
- Department of Molecular Biotechnology, Molecular Imaging Center, University of Torino Via Nizza 42 10126 Torino Italy +39 0116708459
| | - Alessandro Amaolo
- Department of Molecular Biotechnology, Molecular Imaging Center, University of Torino Via Nizza 42 10126 Torino Italy +39 0116708459
| | - Giuseppe Ferrauto
- Department of Molecular Biotechnology, Molecular Imaging Center, University of Torino Via Nizza 42 10126 Torino Italy +39 0116708459
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