Cancer Control最新文献

{"title":"Automated Patient-specific Quality Assurance for Automated Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.","authors":"Yixuan Wang, Jiang Hu, Lixin Chen, Dandan Zhang, Jinhan Zhu","doi":"10.1177/10732748251318387","DOIUrl":"10.1177/10732748251318387","url":null,"abstract":"<p><strong>Introduction: </strong>Precision radiotherapy relies on accurate segmentation of tumor targets and organs at risk (OARs). Clinicians manually review automatically delineated structures on a case-by-case basis, a time-consuming process dependent on reviewer experience and alertness. This study proposes a general process for automated threshold generation for structural evaluation indicators and patient-specific quality assurance (QA) for automated segmentation of nasopharyngeal carcinoma (NPC).</p><p><strong>Methods: </strong>The patient-specific QA process for automated segmentation involves determining the confidence limit and error structure highlight stage. Three expert physicians segmented 17 OARs using computed tomography images of NPC and compared them using the Dice similarity coefficient, the maximum Hausdorff distance, and the mean distance to agreement. For each OAR, the 95% confidence interval was calculated as the confidence limit for each indicator. If two or more evaluation indicators (N2) or one or more evaluation indicators (N1) exceeded the confidence limits, the structure segmentation result was considered abnormal. The quantitative performances of these two methods were compared with those obtained by artificially introducing small/medium and serious errors.</p><p><strong>Results: </strong>The sensitivity, specificity, balanced accuracy, and F-score values for N2 were 0.944 ± 0.052, 0.827 ± 0.149, 0.886 ± 0.076, and 0.936 ± 0.045, respectively, whereas those for N1 were 0.955 ± 0.045, 0.788 ± 0.189, 0.878 ± 0.096, and 0.948 ± 0.035, respectively. N2 and N1 had small/medium error detection rates of 97.67 ± 0.04% and 98.67 ± 0.04%, respectively, with a serious error detection rate of 100%.</p><p><strong>Conclusion: </strong>The proposed automated patient-specific QA process effectively detected segmentation abnormalities, particularly serious errors. These are crucial for enhancing review efficiency and automated segmentation, and for improving physician confidence in automated segmentation.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251318387"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum High-Density Lipoprotein Cholesterol Concentrations in Pancreatic Ductal Adenocarcinoma and Its Association With Histological Grade in a Chinese Population.","authors":"Ying-Ying Cao, Xiao-Jing Lv, Hui Li, Li-Chao Qian, Hai-Peng Si, Yuan Li, Kai Guo, Shuai Ren, Zhong-Qiu Wang","doi":"10.1177/10732748251316602","DOIUrl":"10.1177/10732748251316602","url":null,"abstract":"<p><strong>Background: </strong>Serum high-density lipoprotein cholesterol (HDL-c) may influence cancer development. However, its relationship with the histological grade of pancreatic ductal adenocarcinoma (PDAC) is not well understood. This study aims to explore the potential associations between serum HDL-c levels and different histological grades of PDAC.</p><p><strong>Methods: </strong>This retrospective study included 181 patients with pathologically confirmed PDAC who underwent radical surgery. Clinical data, blood biochemical results, imaging features, and pathological details of the patients were collected, such as age, gender, diabetes, hypertension, tumor grade, tumor size and location, high-density lipoprotein (HDL-c), low-density lipoprotein (LDL), total cholesterol (TC), triglycerides (TG), carbohydrate antigen 19-9 (CA19-9), and carcinoembryonic antigen (CEA).</p><p><strong>Results: </strong>Patients with high-grade PDAC had significantly lower HDL-c levels compared to those with low-grade PDAC across both training and validation cohorts (<i>P</i> < 0.05). Significant associations were found between HDL-c levels and high-grade PDAC in the training (<i>P</i> < 0.001) and validation (<i>P</i> = 0.044) groups. Moreover, HDL-c levels were inversely related to lymph node metastasis in the training (<i>P</i> = 0.001) and validation (<i>P</i> = 0.012) sets.</p><p><strong>Conclusions: </strong>Lower HDL-c levels are associated with high-grade PDAC and lymph node metastasis, suggesting that HDL-c may play a protective role in the progression of PDAC.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251316602"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11811967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143383749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Nomogram for Predicting Cancer-Specific Survival in Patients With Stage I Vulvar Squamous Cell Carcinoma: A Study Based on the SEER Database and External Validation.","authors":"Yingfan Zhu, Tao Zhang, Jiali Xu, Zhuoqun Lin, Fenfen Wang, Xiaodong Cheng","doi":"10.1177/10732748251357144","DOIUrl":"10.1177/10732748251357144","url":null,"abstract":"<p><p>IntroductionVulvar squamous cell carcinoma (VSCC) is a rare but increasingly prevalent gynecological malignancy. This study aimed to identify risk factors for stage I VSCC, which accounts for approximately 70% of VSCC patients, and to develop a nomogram to predict cancer-specific survival (CSS) for this large subgroup.MethodsThis study analyzed the datasets consisting of public training and independent external validation sets of patients diagnosed with stage I VSCC between 2010 and 2019. Prognostic factors were discerned through Cox regression analyses and the least absolute shrinkage and selection operator (LASSO) method. A nomogram for CSS was developed and evaluated using the C-index, Kaplan-Meier curves, and decision curve analysis (DCA) plots.ResultsOur analysis revealed variations in predictors of CSS and overall survival (OS) in stage I VSCC cases from the Surveillance, Epidemiology, and End Results (SEER) database. The multivariate Cox model suggested associations between CSS and age, grade, and number of tumors (NMT), while the LASSO model indicated potential roles for age, stage, invasion depth, NMT, and surgical method. The nomogram showed reasonable discriminative ability in the training (C-index: 0.785) and validation cohorts (C-index: 0.729), with supporting Kaplan-Meier and DCA analyses.ConclusionThis study proposes a prognostic model for CSS in stage I VSCC, identifying exploratory associations with multifocal tumors and surgical extent. Further prospective studies are needed to validate these findings and clarify their clinical implications.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251357144"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12231971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144545764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging Adults' Consideration of their Future General and Colorectal-Specific Cancer Risk.","authors":"Jackie Knight Wilt, Maria D Thomson","doi":"10.1177/10732748251348537","DOIUrl":"10.1177/10732748251348537","url":null,"abstract":"<p><p>IntroductionColorectal cancer (CRC) has a lengthy cellular mutation period and early onset (EOCRC) is linked to lifestyle-related factors. Primary prevention approaches earlier in the life course are needed. Emerging adulthood (age 18-25) is a critical stage for shaping health trajectories, and future orientation influences health behavior decisions. Little is known about emerging adults' consideration of future cancer risk (CFC-Cancer), or perceived CRC risk. This study characterizes emerging adult CFC-Cancer, perceived CRC risk, and how they relate to EOCRC lifestyle related factors and cancer prevention behaviors.MethodsWe conducted a cross-sectional survey of college students at a public university. Measures included demographics, stress, family cancer history, and CRC knowledge. Previously validated measures for diet, sedentariness, smoking, alcohol consumption, and stress management assessed adherence with lifestyle prevention guidelines. HPV vaccination and skin checks appraised cancer prevention. Outcomes included perceived CRC risk (0%-100%) and CFC-Cancer adapted scale. Adjusted linear regression models examined CFC-Cancer and perceived CRC risk predictability.ResultsThe sample (N = 282) mean age was 20 years, 77% were female, 40% were White, and 67% had family cancer history. CRC knowledge μ = 14, and current stress was moderate. 18% completed both cancer prevention behaviors, and protective lifestyle behavior scores ranged between 2-15, μ = 8. Perceived CRC risk = 28%, and CFC-Cancer was moderate (μ = 61). CFC-Cancer model included significant predictors of GPA, CRC knowledge, and lifestyle health behavior score, while Perceived CRC Risk model included age and being employed.ConclusionEmerging adults overestimate CRC risk but also have moderate CFC-Cancer. Accurate CRC knowledge provided to this age group may help redirect CRC health trajectories through integration of EOCRC protective lifestyle health behaviors and sustaining them into adulthood.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251348537"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peritumoral Radiomic Features on CT for Differential Diagnosis in Small-Cell Lung Cancer: Potential for Surgical Decision-Making.","authors":"Jie Lin, Hao Zheng, Yuan Dong, Lanqi Fu, Yujie Ding, Shucheng Huang, Shiwei Wang, Junna Wang","doi":"10.1177/10732748251351754","DOIUrl":"10.1177/10732748251351754","url":null,"abstract":"<p><p><b>Introduction:</b> Small-cell lung cancer (SCLC) is a leading cause of cancer-related mortality worldwide, with limited therapeutic outcomes and poor prognosis. Accurate diagnosis and optimal surgical decision-making remain critical challenges. This study aimed to develop and validate a clinical-radiomics nomogram integrating computed tomography (CT) radiomic features of the peritumoral region and clinical factors to improve SCLC diagnosis and guide surgical planning.<b>Methods:</b> A retrospective cohort of 113 patients (54 SCLC, 59 non-small cell lung cancer) was analyzed. CT images were processed to extract 1050 radiomic features from both intratumoral and peritumoral (2-mm expanded) ROIs. Feature selection was performed using t-tests, LASSO regression, and mRMR analysis. Logistic regression models were constructed for original and expanded ROIs, and a clinical-radiomics nomogram was developed by combining significant radiomic features with independent clinical predictors (gender, smoking history, tumor diameter, glitch, and neuron-specific enolase levels). Model performance was evaluated using ROC curves, AUC, sensitivity, specificity, and CIC curves.<b>Results:</b> The expanded ROI radiomics model outperformed the original ROI and clinical models, achieving higher accuracy (0.83 vs 0.76/0.70), sensitivity (0.80 vs 0.74/0.77), specificity (0.85 vs 0.75/0.65), and AUC (0.85 vs 0.76/0.71). The clinical-radiomics nomogram demonstrated superior diagnostic performance, with an AUC of 0.96 (95% CI: 0.88-1.00), accuracy of 0.91, sensitivity of 0.92, and specificity of 0.90. CIC analysis confirmed its clinical utility for surgical decision-making at intermediate-risk thresholds.<b>Conclusion:</b> The integration of peritumoral radiomic features and clinical factors into a nomogram provides a non-invasive tool for SCLC diagnosis and surgical planning. The superiority of the expanded model substantiates the potential presence of SCLC in peri-tumoral tissues that may be imperceptible through conventional imaging, thereby offering guidance for surgical decision-making. This approach has potential for improving treatment outcomes and warrants further validation in multicenter studies.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251351754"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144310713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Insights Into Adipokines and the Tumor Microenvironment in Breast Cancer.","authors":"Xin Ma, Shaofeng Yang, Donghai Li","doi":"10.1177/10732748251347917","DOIUrl":"10.1177/10732748251347917","url":null,"abstract":"<p><p>Breast cancer remains the malignant tumor with the highest incidence among female patients globally, and its treatment represents a well-recognized clinical challenge. Recent studies have demonstrated that the tumor microenvironment (TME) exerts a substantial influence on breast cancer progression, whereby alterations in its internal molecular components ultimately impact disease outcomes. Key factors implicated in this process include adipokines and microRNAs (miRNAs). This review provides a detailed description of how different adipocytokines exert specific mechanistic effects on breast cancer cells. By integrating adipokines with miRNAs, the discussion explores their combined roles in the initiation and progression of breast cancer, addressing a previously unaddressed research gap in studies focusing solely on individual adipokines. Furthermore, by examining the interactions between miRNAs and signaling pathways, this analysis offers a holistic perspective on the TME network, thereby fostering new therapeutic insights for breast cancer management.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251347917"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12152388/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Community-Based Hepatitis B and C Care for Engaging Housing-Insecure Individuals.","authors":"Vanessa Schick, Abigail Grace, F Tiffany Quan, Cathy Troisi, Jack Tsai","doi":"10.1177/10732748251374419","DOIUrl":"10.1177/10732748251374419","url":null,"abstract":"<p><p>IntroductionHepatitis B and C (HBV/HCV) are bloodborne infections, with individuals who have histories of substance use and homelessness bearing a disproportionate risk. Long-standing difficulties in engaging these populations have made testing and treatment challenging. This retrospective observational study describes a community-based approach to HBV/HCV prevention and treatment, comparing the effectiveness of different engagement site types in reaching and engaging this high-need population.MethodsGRASSROOTS HEALTH was launched in 2018 to improve HBV/HCV care by providing on-site testing, HBV vaccination, treatment navigation, and adherence support across various housing and drop-in centers. Outcomes were tracked through REDCap and analyzed by engagement site.ResultsGRASSROOTS HEALTH reached nearly 2000 clients, with the greatest needs for HCV treatment in drop-in centers and HBV vaccination in low-income/permanent supportive housing. All sites demonstrated a relatively high return on effort, as evidenced by the percentage of participants needing HBV vaccination or HCV/HBV treatment.ConclusionEngaging individuals through housing and service centers effectively reached a high-need community, with findings suggesting that different engagement points may enhance outreach based on the primary focus (HCV treatment vs HBV vaccination).</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251374419"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409017/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144994059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-Term Prognostic Outcomes of Right Hemicolectomy and Extended Right Hemicolectomy Performed for Hepatic Flexura and Proximal Transverse Colon Tumors.","authors":"Hilmi Yazici, Ahmet Cem Esmer, Sena Altunsu, Barış Dağdemir, Aysenur Yildiz, Sevket Cumhur Yegen","doi":"10.1177/10732748251376793","DOIUrl":"10.1177/10732748251376793","url":null,"abstract":"<p><p>IntroductionThis retrospective study compares the outcomes of right hemicolectomy (RHC) and extended right hemicolectomy (ERHC) in patients with hepatic flexure and proximal transverse colon tumors.MethodsData from 85 patients who underwent surgery for colonic adenocarcinoma between January 2015 and December 2023 were analyzed retrospectively. Patients who had hepatic flexure and proximal transverse colon tumors were included in the analysis. Patients were divided into two groups: RHC and ERHC. The primary endpoints were overall survival (OS) and disease-free survival (DFS), with secondary outcomes including postoperative complications and pathological data.ResultsThe RHC group comprised 46 patients, while the EHRC group had 39 patients. The study found no significant difference in 5-year OS (77% RHC vs 69% ERHC, <i>P</i> = 0.135) or 5-year DFS (87% RHC vs 81% ERHC, <i>P</i> = 0.388) between the two groups. Although the ERHC group had a higher number of harvested lymph nodes (27 vs 22, <i>P</i> = 0.022), this did not correlate with improved survival outcomes. Tumor localization was identified as a significant factor influencing OS, with hepatic flexure tumors showing better survival compared to proximal transverse colon tumors. No significant differences were observed between the groups regarding postoperative complications.ConclusionOur study suggests that while ERHC leads to a higher lymph node yield, it does not significantly improve survival outcomes compared to RHC in patients with hepatic flexure and proximal transverse colon tumors. Further research is needed to optimize surgical strategies and improve patient outcomes.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251376793"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145001758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of Prediction Model of Axillary Lymph Node Metastasis Before Operation for Early-Stage Breast Cancer.","authors":"Xinhua Zhang, Chuang Zhang, Jian Zhang, Xiuming Zhang, Xiaowen Dou","doi":"10.1177/10732748251363328","DOIUrl":"10.1177/10732748251363328","url":null,"abstract":"<p><p>IntroductionThis study aimed to assess the predictive value of integrating ultrasonographic features, pathological characteristics, and inflammatory markers for axillary lymph node metastasis (ALNM) in early-stage breast cancer (BC), and to construct a corresponding nomogram.MethodsA retrospective review was conducted on clinical data from 287 early-stage BC patients who underwent surgery at Shenzhen Luohu People's Hospital between January 2020 and March 2024. Based on histopathological evaluation, patients were categorized into ALNM-positive (ALNM⁺) and ALNM-negative (ALNM^-) groups. Independent predictors of ALNM were identified using univariate and multivariate logistic regression analyses. These variables were used to develop a predictive nomogram. Model performance was evaluated by concordance index (C-index), receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA), assessing its accuracy, discrimination, calibration, and clinical utility.ResultsMultivariate analysis identified vascular invasion, neutrophil-to-lymphocyte ratio (NLR), lymphocyte count, tumor size, lymph node echogenicity, and margin characteristics as independent predictors of ALNM. The nomogram showed excellent discriminative ability (AUC = 0.944, 95% CI: 0.906-0.981; C-index = 0.944, 95% CI: 0.906-0.982) and good calibration (Brier score = 0.063). DCA indicated meaningful clinical benefit across relevant threshold probabilities.ConclusionThe nomogram developed in this study demonstrates strong predictive performance and clinical value for preoperative ALNM assessment in early-stage BC. It may serve as a practical tool to guide individualized surgical and therapeutic decision-making.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251363328"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144734690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Continuous Glucose Monitoring as a Biological Feedback Strategy to Motivate Physical Activity in Cancer Survivors: A Mixed-Methods Pilot Study.","authors":"Yue Liao, Grace E Brannon, Chad D Rethorst, Miranda Baum, Therese B Bevers, Susan M Schembre, Karen M Basen-Engquist","doi":"10.1177/10732748251359406","DOIUrl":"10.1177/10732748251359406","url":null,"abstract":"<p><p>IntroductionIdentifying novel strategies to motivate regular physical activity in cancer survivors continues to be a critical mission, as the majority of cancer survivors are not sufficiently active to achieve the many health benefits of being regularly physically active. Providing biological feedback is one of the behavioral change techniques that shows promising effects in physical activity interventions. This study used a mixed-methods approach to test the acceptability and changes in physical activity motivation of a pilot intervention that provided personalized feedback via text messaging based on data from an activity tracker (Fitbit) and continuous glucose monitor (CGM) over a 4-week period.MethodsTwelve breast and colorectal cancer survivors completed this pilot intervention, which involved a one-on-one educational session followed by a 4-week intervention period with a Fitbit wristband and CGM. They received 2-3 weekly text messages based on their Fitbit and CGM data that aimed to increase their motivation to engage in physical activity. Participants completed surveys assessing motivational readiness before and after the intervention, and a post-intervention survey that assessed acceptability of the intervention. Exit interview was also conducted to collect their feedback and opinions toward the intervention.ResultsBoth quantitative and qualitative results suggest a high acceptability of the study devices (ie, Fitbit and CGM) as well as the intervention components (e.g., the glucose-based biological feedback). Participants reported a significant decrease in the preparation stage and an increase in the action and maintenance stages (ps < 0.05). Results from qualitative analysis further indicate participants' positive changes in physical activity motivations.ConclusionThe use of CGM along with an activity tracker is a viable method to provide personally relevant and motivating biological feedback messages to motivate physical activity in cancer survivors. Future studies can incorporate this behavior change technique into their intervention and further evaluate its impact on behavior change and related health outcomes.Clinical trial number: NCT05124405.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251359406"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304624/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144734693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}