Cancer Investigation最新文献

{"title":"Enhancing Lung Cancer Diagnosis: An Optimization-Driven Deep Learning Approach with CT Imaging.","authors":"Kasetty Lakshminarasimha, A T Priyeshkumar, M Karthikeyan, Rajalaxmi Sakthivel","doi":"10.1080/07357907.2025.2518404","DOIUrl":"https://doi.org/10.1080/07357907.2025.2518404","url":null,"abstract":"<p><p>Lung cancer (LC) remains a leading cause of mortality worldwide, affecting individuals across all genders and age groups. Early and accurate diagnosis is critical for effective treatment and improved survival rates. Computed Tomography (CT) imaging is widely used for LC detection and classification. However, manual identification can be time-consuming and error-prone due to the visual similarities among various LC types. Deep learning (DL) has shown significant promise in medical image analysis. Although numerous studies have investigated LC detection using deep learning techniques, the effective extraction of highly correlated features remains a significant challenge, thereby limiting diagnostic accuracy. Furthermore, most existing models encounter substantial computational complexity and find it difficult to efficiently handle the high-dimensional nature of CT images. This study introduces an optimized CBAM-EfficientNet model to enhance feature extraction and improve LC classification. EfficientNet is utilized to reduce computational complexity, while the Convolutional Block Attention Module (CBAM) emphasizes essential spatial and channel features. Additionally, optimization algorithms including Gray Wolf Optimization (GWO), Whale Optimization (WO), and the Bat Algorithm (BA) are applied to fine-tune hyperparameters and boost predictive accuracy. The proposed model, integrated with different optimization strategies, is evaluated on two benchmark datasets. The GWO-based CBAM-EfficientNet achieves outstanding classification accuracies of 99.81% and 99.25% on the Lung-PET-CT-Dx and LIDC-IDRI datasets, respectively. Following GWO, the BA-based CBAM-EfficientNet achieves 99.44% and 98.75% accuracy on the same datasets. Comparative analysis highlights the superiority of the proposed model over existing approaches, demonstrating strong potential for reliable and automated LC diagnosis. Its lightweight architecture also supports real-time implementation, offering valuable assistance to radiologists in high-demand clinical environments.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"1-20"},"PeriodicalIF":1.8,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367925","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}

{"title":"Modified Le-Net Model with Multiple Image Features for Skin Cancer Detection.","authors":"Vinay Kumar Y B, Vimala H S, Shreyas J","doi":"10.1080/07357907.2025.2518400","DOIUrl":"https://doi.org/10.1080/07357907.2025.2518400","url":null,"abstract":"<p><p>Computer-based technologies significantly improve melanoma and non-melanoma skin cancer detection by providing non-invasive, cost-effective, and rapid diagnostic solutions. In this context, the study proposes a novel Deep Learning (DL)-based skin cancer detection approach that leverages an advanced segmentation technique called Improved DeepJoint Segmentation (IDJS). This method is designed to enhance the accuracy and precision of the detection process. Initially, the proposed Modified LeNet (MLeNet)-based model applies a Gaussian filter during preprocessing to reduce speckle noise in the input skin images effectively. Following this, the preprocessed images undergo the IDJS segmentation process, which effectively partitions the cancerous regions with high accuracy. Subsequently, three types of features are extracted from the segmented images and they are Multi-Texton Histogram (MTH)-based features, Improved Pyramid Histogram of Oriented Gradient (IPHOG)-based features, and Median Binary Pattern (MBP). These extracted features serve as the input to the MLeNet model for the final skin cancer detection. The datasets used in this work are the HAM10000 dataset and the ISIC 2019 dataset. With a positive metric value of 0.952, the MLeNet model outperforms the traditional models, with LeNet achieving the highest score of 0.932.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"1-30"},"PeriodicalIF":1.8,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324573","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}

{"title":"Overexpression FARSB Reveals Poor Prognosis in Breast Cancer and is Correlated with Immunity.","authors":"Yueming Hu, Ting Liu, Li Tian, Bohai Cao, Jinheng Xu","doi":"10.1080/07357907.2025.2512379","DOIUrl":"10.1080/07357907.2025.2512379","url":null,"abstract":"<p><strong>Background: </strong>FARSB is a β-regulatory subunit of phenylalanine tRNA synthetase. It is reported that FARSB was involved in cancer progression. However, the molecular function of FARSB in breast cancer was unclear. This study aimed to investigate the prognostic significance of FARSB expression and its relationship with immunity in breast cancer.</p><p><strong>Methods: </strong>Several databases, including TCGA, HPA, and UALCAN database, were applied to study FARSB mRNA and protein expression and its association with aggressiveness in breast cancer. We used immunohistochemical staining (IHC) to study FARSB expression in breast cancer and normal tissues. Chi square test was explored to study the correlation between FARSB expression and clinical features in breast cancer. Kaplan-Meier analysis and Cox regression were utilized to discuss the prognosis of breast cancer. Spearman analysis was applied to analyze the association between FARSB expression and immunity. We studied the correlation of FARSB with common breast cancer chemotherapeutic drugs. We conducted GO, KEGG, and GSEA enrichment analysis to study the molecular function of FARSB in breast cancer.</p><p><strong>Results: </strong>The TCGA database suggested that FARSB was increased in several cancers, including breast cancer. HPA and UALCAN databases suggested that FARSB protein expression was higher in breast cancer than normal tissues. IHC analysis also confirmed the higher expression of FARSB in breast cancer. FARSB expression had correlation with ER status and PR status. In TCGA database, FARSB expression was related to ER status, PR status, and PAM50. Overexpression FARSB had adverse prognosis, and Cox regression considered FARSB as a prognostic marker. Immunological analysis demonstrated that FARSB was linked with immune cell infiltration and immune checkpoints. High FARSB expression had low TIDE score. In addition, FARSB was linked to drugs, such as 5-fluorouracil, doxorubicin, gemcitabine, and paclitaxel. GSEA analysis suggested that FARSB was involved in the pathways, including cell cycle, aminoacyl TRNA biosynthesis, DNA replication, spliceosome, and mismatch repair.</p><p><strong>Conclusion: </strong>FARSB was highly expression at mRNA and protein level in breast cancer. Overexpression of FARSB had a poor prognosis in breast cancer. FARSB expression was associated with immunity and acted as a new target for cancer immunological therapy.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"326-336"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265307","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}

{"title":"The Association Between Vulnerability and Taste Changes in Older Cancer Patients Undergoing Chemotherapy.","authors":"Yajun Dong, Jiajia Lu, Danhui Wang, Min Zhu, Liping Teng","doi":"10.1080/07357907.2025.2500495","DOIUrl":"10.1080/07357907.2025.2500495","url":null,"abstract":"<p><p>This study aimed to examine the association between taste changes and vulnerability in elderly cancer patients undergoing chemotherapy. A cross-sectional study was conducted among older cancer patients undergoing chemotherapy in Wuxi, China. The Chemotherapy-induced Taste Alteration Scale (CiTAS) was used to measure taste alteration. The Vulnerable Elders Survey (VES) was used to measure vulnerability status. The univariate, correlation, and hierarchical regression analyses were applied to assess the association between taste changes and vulnerability. Of 200 older cancer patients, 123 (61.5%) participants were non-vulnerable. The univariate analysis revealed significant distribution differences of vulnerability in education level, smell abnormalities, drinking history, chemotherapy cycle, and taste changes. The level of taste changes was positively correlated with vulnerability (<i>r</i> = 0.401, <i>p</i> < 0.01). Results of the regression analysis indicated that vulnerability in older cancer patients was significantly associated with higher odds of \"phantogeusia and parageusia\" (OR = 4.505, <i>p</i> < 0.001). Taste changes may be an important influencing factor of vulnerability in older cancer patients.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"283-292"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143966562","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}

{"title":"Malignant Melanoma Detection Using Ensemble Model and Improved BIRCH Clustering-Based Segmentation.","authors":"Pavithra G, Palanisamy C","doi":"10.1080/07357907.2025.2502052","DOIUrl":"10.1080/07357907.2025.2502052","url":null,"abstract":"<p><strong>Background: </strong>The most deadly disease in skin cancers family is melanoma. The color resemblance among melanoma-affected and healthy areas pose significant challenges in early detection.</p><p><strong>Objective: </strong>An automated localization and segmentation of skin lesions at earlier stages remains challenging. To tackle these issues, a new method is proposed in this research for detecting malignant melanoma.</p><p><strong>Method: </strong>This proposed strategy comprises five stages namely augmentation, preprocessing, segmentation, feature extraction, and classification. Initially, data augmentation is performed, then median filtering and image enhancement are applied to input image during preprocessing. Subsequently, IBIRCH algorithm is employed for segmentation. Furthermore, color and shape features, statistical features and improved local texton XOR pattern are extracted. Finally, ensemble model (proposed Bi-LSTM, CNN and DBN) is proposed which receives features and intermediate score obtained from each model undergoes improved score level fusion and yields final classification output.</p><p><strong>Results: </strong>The proposed model is evaluated against traditional models and the suggested model achieved superior accuracy of 97.59% and 95.32% on datasets 1 and 2, respectively.</p><p><strong>Conclusion: </strong>The improved performance of proposed model not only outperforms traditional approaches but also paves way for reliable automated early-stage melanoma diagnosis and so reduces life risk of patients due to this early detection.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"355-390"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246613","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}

{"title":"Clinical Characteristics and Impact on Prognosis of Melanoma Accompanied by Multiple Primary Malignancies: A Retrospective Analysis.","authors":"Huichun Tian, Jiaran Zhang, Lili Mao, Caili Li, Xiaoting Wei, Junjie Gu, Li Zhou, Chuanliang Cui, Zhihong Chi, Xinan Sheng, Jun Guo, Lu Si","doi":"10.1080/07357907.2025.2507113","DOIUrl":"10.1080/07357907.2025.2507113","url":null,"abstract":"<p><strong>Introduction: </strong>This study aims to explore the clinical characteristics and prognosis of patients with melanoma (MM), which are composed mainly of acral and mucosal MM accompanied by multiple primary tumors.</p><p><strong>Methods: </strong>A total of 87 patients diagnosed with single primary MM and 87 patients diagnosed with multiple primary malignant tumors were included. Nonmelanoma malignancy tumor type, genetic testing, and the survival data were collected. Pearson's chi-square test, Fisher's exact test, log-rank test, univariate and multivariate Cox's regression analysis were applied.</p><p><strong>Results: </strong>The most common nonmelanoma malignancies in all patients involved the digestive system; breast cancer, thyroid cancer, lung cancer, and prostate cancer; and breast cancer was more common in patients with acral MM. Mutations in <i>BRAF</i> V600, <i>NRAS</i>, <i>KIT</i>, and <i>TP53</i> were the most common. Univariate analysis revealed that mutations in <i>KIT</i> and elevated levels of lactate dehydrogenase (LDH) were potential factors that influenced OS. Multivariate analysis revealed that mutations in <i>NRAS</i> and increased LDH levels were related to worse survival and that survival was prolonged in patients with MM as the first primary tumor.</p><p><strong>Conclusion: </strong>This study preliminarily describes the clinical features and prognosis of patients with melanomas, while the further study with larger sample size is needed.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"305-314"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126386","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}

{"title":"Integrated Analysis of Slow Transit Constipation and Colorectal Cancer Reveals the Co-Pathogenic Targets and Their Potential Clinical Value.","authors":"Yan Wang, Jiawei Sun, Di Wang, Hongguang Liu, Qing Ma, Shuo Chen","doi":"10.1080/07357907.2025.2506102","DOIUrl":"10.1080/07357907.2025.2506102","url":null,"abstract":"<p><strong>Background: </strong>Slow transit constipation (STC) is a potential risk of the onset of colorectal cancer (CRC). Thus, the purpose of this work is to focus on the co-pathogenic targets between STC and CRC, meanwhile evaluating their prognostic value for CRC.</p><p><strong>Methods: </strong>The miRNA and mRNA data of STC and CRC were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The prognostic signature was constructed based on hub genes, which identified using differential expression analysis and LASSO Cox regression analysis. The hub genes were validated employing multiple public databases. Enrichment analysis was employed to elucidate their functions. Survival analysis was performed using Kaplan-Meier method. Transcription factor binding sites were predicted and verified using FIMO and ChIP-seq database, respectively.</p><p><strong>Results: </strong>We identified four common key differentially expressed miRNAs of STC and CRC, including hsa-miR-340, hsa-miR-30b, hsa-miR-20b, and hsa-miR-29c (p-value <0.05), and their targets were involved in the CRC's metabolic processes (all p-values <0.05). We developed a prognostic signature based on nine hub genes, and patient prognosis could be predicted employing Risk score = 0.099063054* <i>NOG</i> + 0.074815408* <i>PLD5</i> + 0.003499667* <i>NOVA1</i> + 0.051762032*<i>DTNA</i> + 0.050495722* <i>GPR26</i> + 0.045057094* <i>TNFAIP8L3</i> + 0.097209257* <i>SLC29A4</i>+ (-0.246941474)* <i>CCNJL</i> + 0.039294168* <i>TRABD2B</i>. High-risk patients exhibited significantly poorer prognosis (p-value <0.05). The hub genes <i>CCNJL</i>, <i>NOVA1</i>, <i>PLD5</i>, and <i>SLC29A4</i> were significantly down-regulated targets of hsa-miR-340 in the CRC samples (p-value <0.05). Functional analyses suggested their involvement in immune-related processes (all p-values <0.05). Our exploration of upstream regulators revealed six and one reliable transcription factors for <i>CCNJL</i> and <i>SLC29A4</i>, respectively.</p><p><strong>Conclusion: </strong>This study delved into common biomarkers between STC and CRC, and developed a reliable prognostic signature for CRC.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"337-354"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144198263","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}

{"title":"Increased Risk of Hyperglycemia in Advanced Urothelial Cancer Patients Treated with Enfortumab Vedotin: A Systematic Review and Meta-Analysis.","authors":"Ryan Cheng, Montek Boparai, Xiaolei Zhu, Shenhong Wu","doi":"10.1080/07357907.2025.2502992","DOIUrl":"10.1080/07357907.2025.2502992","url":null,"abstract":"<p><strong>Background: </strong>Enfortumab vedotin, an anti-nectin-4 antibody-drug conjugate, is a key treatment for advanced urothelial cancer. However, hyperglycemia, a major adverse event, varies in incidence and can progress to diabetic ketoacidosis. We conducted a systematic review and meta-analysis to quantify the risk of hyperglycemia with enfortumab vedotin.</p><p><strong>Material and methods: </strong>We searched studies published through September 30, 2024. Eligible clinical trials evaluated enfortumab vedotin as a monotherapy or combined with pembrolizumab. Pooled incidence and relative risk of hyperglycemia were calculated using random- or fixed-effects models.</p><p><strong>Results: </strong>Seven studies with 2,138 patients were included in our analysis. The summary incidence of all-grade hyperglycemia was 10.3% (95% CI: 8.6-12.2%), and high-grade hyperglycemia occurred in 5.7% (95% CI: 4.5-7.1%) of patients. No significant difference was observed between monotherapy and combination therapy (<i>p</i> = 0.16). Enfortumab vedotin significantly increased the risk of all-grade (RR = 16.97, 95% CI: 6.22-48.25, <i>p</i> < 0.001) and high-grade hyperglycemia (RR = 34.78, 95% CI: 4.77-253.43, <i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>Enfortumab vedotin is associated with a significantly increased risk of all-grade and high-grade hyperglycemia in urothelial cancer. Its combination with pembrolizumab does not appear to elevate this risk further. Routine glucose monitoring and early intervention should be implemented, particularly in high-risk patients.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"293-304"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143983772","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}

{"title":"Assessing Chemotherapy-Induced Peripheral Neuropathy in Postmenopausal Breast Cancer Patients Using Vibration Perception Threshold.","authors":"August Nielsen, Simone Diedrichsen Marstrand, Djordje Marina, Michael Andersson, Lars Thorbjørn Jensen, Kristian Buch-Larsen, Peter Schwarz","doi":"10.1080/07357907.2025.2510996","DOIUrl":"10.1080/07357907.2025.2510996","url":null,"abstract":"<p><p>This study investigated the 3-year development of chemotherapy-induced peripheral neuropathy (CIPN) in post-menopausal women diagnosed with early breast cancer (EBC) using vibration perception threshold (VPT) measurements and the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (CIPN18). 90 patients (aged 50-70) and 30 healthy subjects were included in the study. VPT measurements and CIPN18 questionnaires were performed post-chemotherapy (median 72 (IQR: 53-93) days post chemotherapy) as well as at the 12 and 36-month follow-up. Post-chemotherapy data showed impaired VPT measurements when comparing our study population to controls, but spontaneous improvement occurred, and by the 36-month follow-up, VPT measurements normalized when compared to controls. Mean CIPN18 scores improved, though the improvement was not statistically significant. Spearman's rho between VPT measurements and CIPN18 questionnaires showed weak to moderate correlations during follow-up. However, further analyses using a Generalized Additive Model confirmed the absence of a significant correlation between VPT measurements and CIPN18 questionnaires. Our data highlight limitations in the relationship between VPT measurements and CIPN. However, VPT measurements may have potential as an objective supplement to general assessment of patients.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"315-325"},"PeriodicalIF":1.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191551","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}

{"title":"The Use of Impedance Cardiography for Detection of Early Cardiac Effects of Radiotherapy in Breast Cancer Patients.","authors":"Hilmi Ugras, Belgin Buyukakilli, Songul Barlaz Us, Eda Bengi Yilmaz, Cagatay Han Turkseven","doi":"10.1080/07357907.2025.2498360","DOIUrl":"10.1080/07357907.2025.2498360","url":null,"abstract":"<p><p>This study was conducted to determine the effect of radiotherapy (RT) on heart functions in the early period in patients with breast cancer. The hemodynamic parameters showing heart functions of patients were recorded by impedance cardiography (ICG), a noninvasive method for monitoring heart function before and after RT. Some hemodynamic parameters of patients compared to before RT increased significantly after RT. Hemodynamic parameters that increased significantly following RT, compared with baseline: cardiac index (CI) (l/min/m²), before radiotherapy 3.21 ± 0.71, after radiotherapy 3.75 ± 1.01; stroke volume index (SVI) (ml/min/m²), before radiotherapy 37.32 ± 8.87, after radiotherapy 44.49 ± 10.85; thoracic fluid volume (TFC) (kohm^-1), before radiotherapy 35.43 ± 7.70, after radiotherapy 39.52 ± 10.37. The findings suggested that short-term effects of RT on hemodynamic parameters in breast cancer patients were not due to deterioration in heart functions, but could be due to radiodermatitis, which can be seen in patients up to 42 days after RT. As a part of the treatment plan of patients receiving RT, it may be recommended to determine changes in heart functions with ICG and to plan new studies in which patients will be followed for a longer period.</p>","PeriodicalId":9463,"journal":{"name":"Cancer Investigation","volume":" ","pages":"267-281"},"PeriodicalIF":1.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143954644","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}