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PURPOSE: This study proposed a three-dimensional (3D) multi-modal learning-based model for the automated prediction and classification of lymph node metastasis in patients with non-small cell lung cancer (NSCLC) using computed tomography (CT) images and clinical information. METHODS: We utilized clinical information and CT image data from 4239 patients with NSCLC across multiple institutions. Four deep learning algorithm-based multi-modal models were constructed and evaluated for lymph node classification. To further enhance classification performance, a soft-voting ensemble technique was applied to integrate the outcomes of multiple multi-modal models. RESULTS: A comparison of the classification performance revealed that the multi-modal model, which integrated CT images and clinical information, outperformed the single-modal models. Among the four multi-modal models, the Xception model demonstrated the highest classification performance, with an area under the curve (AUC) of 0.756 for the internal test dataset and 0.736 for the external validation dataset. The ensemble model (SEResNet50_DenseNet121_Xception) exhibited even better performance, with an AUC of 0.762 for the internal test dataset and 0.751 for the external validation dataset, surpassing the multi-modal model's performance. CONCLUSIONS: Integrating CT images and clinical information improved the performance of the lymph node metastasis prediction models in patients with NSCLC. The proposed 3D multi-modal lymph node prediction model can serve as an auxiliary tool for evaluating lymph node metastasis in patients with non-pretreated NSCLC, aiding in patient screening and treatment planning.
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This study focused on a novel strategy that combines deep learning and radiomics to predict epidermal growth factor receptor (EGFR) mutations in patients with non-small cell lung cancer (NSCLC) using computed tomography (CT). A total of 1280 patients with NSCLC who underwent contrast-enhanced CT scans and EGFR mutation testing before treatment were selected for the final study. Regions of interest were segmented from the CT images to extract radiomics features and obtain tumor images. These tumor images were input into a convolutional neural network model to extract 512 image features, which were combined with radiographic features and clinical data to predict the EGFR mutation. The generalization performance of the model was evaluated using external institutional data. The internal and external datasets contained 324 and 130 EGFR mutants, respectively. Sex, height, weight, smoking history, and clinical stage were significantly different between the EGFR-mutant patient groups. The EGFR mutations were predicted by combining the radiomics and clinical features, and an external validation dataset yielded an area under the curve (AUC) value of 0.7038. The model utilized 1280 tumor images, radiomics features, and clinical characteristics as input data and exhibited an AUC of approximately 0.81 and 0.78 during the primary cohort and external validation, respectively. These results indicate the feasibility of integrating radiomics analysis with deep learning for predicting EGFR mutations. CT-image-based genetic testing is a simple EGFR mutation prediction method, which can improve the prognosis of NSCLC patients and help establish personalized treatment strategies.
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Carcinoma de Pulmón de Células no Pequeñas , Aprendizaje Profundo , Neoplasias Pulmonares , Humanos , Carcinoma de Pulmón de Células no Pequeñas/diagnóstico por imagen , Carcinoma de Pulmón de Células no Pequeñas/genética , Receptores ErbB/genética , Neoplasias Pulmonares/diagnóstico por imagen , Neoplasias Pulmonares/genética , Mutación , RadiómicaRESUMEN
PURPOSE: We developed a comprehensive return to work (RTW) intervention covering physical, psycho-social and practical issues for patients newly diagnosed and evaluated its efficacy in terms of RTW. Materials and Methods: A multi-center randomized controlled trial was done to evaluate the efficacy of the intervention conducted at two university-based cancer centers in Korea. The intervention program comprised educational material at diagnosis, a face-to-face educational session at completion of active treatment, and three individualized telephone counseling sessions. The control group received other education at enrollment. RESULTS: At 1-month post-intervention (T2), the intervention group was more likely to be working compared to the control group after controlling working status at diagnosis (65.4% vs. 55.9%, p=0.037). Among patients who did not work at baseline, the intervention group was 1.99-times more likely to be working at T2. The mean of knowledge score was higher in the intervention group compared to the control group (7.4 vs. 6.8, p=0.029). At the 1-year follow-up, the intervention group was 65% (95% confidence interval, 0.78 to 3.48) more likely to have higher odds for having work. CONCLUSION: The intervention improved work-related knowledge and was effective in facilitating cancer patients' RTW.
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Neoplasias , Autoevaluación (Psicología) , Humanos , Neoplasias/diagnóstico , Neoplasias/terapia , Neoplasias/psicología , Estilo de VidaRESUMEN
Advances in cancer screening and early detection, as well as improvements in surgical techniques and therapeutics, have contributed to decreasing gastric cancer mortality. The number of gastric cancer survivors continues to rise; however, long-term follow-up has revealed an increase in the risk of post-gastrectomy symptoms or other health problems, such as extra-gastric secondary primary cancer (SPC), in these survivors. Therefore, evidence-based screening for new primary cancer is needed in these populations; however, the incidence of SPC varies by country or continent and its characteristics have not been clearly reported. The characteristics of SPC are of increasing interest to both treatment providers and gastric cancer survivors; thus, this literature review explores not only the epidemiology and biology of SPC but also clinical and biological factors that influence its prognosis.
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BACKGROUND: This study aimed to investigate the impact of absolute lymphocyte count (ALC) on clinical outcomes in patients treated with adjuvant RT with or without chemotherapy for pancreatic adenocarcinoma. METHODS: From 2001 to 2015, 68 patients underwent curative surgery followed by adjuvant RT. Chemotherapy was administered concurrently or sequentially with RT. We analyzed the clinical impact of the initial ALC level on locoregional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS), and overall survival (OS). RESULTS: With a median follow-up of 13.7 months (range: 3.1-61.3), the 3 year OS, LRRFS, and DMFS are 25.4%, 40.0%, and 26.6%, respectively. The OS and LRRFS of the high initial ALC group (≥ 1540 × 106/L) are significantly higher than that of the group with lower initial ALC (3 year OS: 32.6% vs. 18.6%, p = 0.036; 3 year LRRFS: 53.5% vs. 27.0%, p = 0.031). In multivariable analyses, initial ALC level is the significant prognostic factor affecting LRRFS (HR = 0.457, p = 0.028) and OS (HR = 0.473, p = 0.026). CONCLUSIONS: Initial ALC could have potential prognostic significance in patients with pancreatic adenocarcinoma receiving adjuvant RT with or without chemotherapy. Further studies are warranted to investigate the role of adjuvant RT, considering the initial ALC.
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We provide a method to evaluate effects of a lossy and noisy optical channel in computational ghost imaging (CGI) technique. Instead of preparing an external noise source, we simulate the optical channel with a basic CGI experiment using programmatically generated noise-induced patterns. By using our method, we show that CGI can reject a noise of which intensity is similar with an imaging signal intensity at a target. The results with our method are well matched with experimental ones including external noise source. This method would provide useful knowledge to analyze environmental effects in CGI without realization of the environment.
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Diagnóstico por Imagen , Ruido , Simulación por ComputadorRESUMEN
Background and Objectives: This study aimed to analyze the prevalence of mental disorders in patients with breast cancer at Ajou University Hospital. In addition, the patterns and prevalence of mental disorders according to the occurrence of coronavirus disease (COVID-19) were analyzed. Materials and Methods: From 1 January 2008 to 30 June 2021, psychiatric disorders were identified in 5174 female patients diagnosed with breast cancer at Ajou University Hospital. Based on the time when COVID-19 occurred, the pattern of onset of mental disorders in patients with breast cancer was analyzed. In addition, the prevalence of mental disorders according to the time of breast cancer diagnosis and age was evaluated. Results: A year before the diagnosis of breast cancer, 371 patients were diagnosed with a mental disorder. Of these, 201 patients were diagnosed with stress and adjustment disorders, and 97 patients had anxiety disorders. The overall frequency of psychiatric disorders after breast cancer diagnosis peaked two months later. Among psychiatric disorders reported before the COVID-19 pandemic, the proportion of stress/adaptation disorders was 52%, and among psychiatric disorders reported after the pandemic, it was significantly higher at 94.7%. Anxiety was found to be high in the elderly group aged ≥ 60 years, and the prevalence of stress and adjustment disorders tended to increase in the non-elderly group. Conclusions: Breast cancer patients showed different patterns of psychiatric disorders according to age, time of breast cancer diagnosis, and the occurrence of COVID-19. Owing to the COVID-19 pandemic, delays in treatment and anxiety about infection have increased the rate of stress and adjustment disorders in cancer patients. Mental health management during the pandemic and after cancer diagnosis can improve the quality of life of patients with cancer.
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Neoplasias de la Mama , COVID-19 , Anciano , Neoplasias de la Mama/complicaciones , Neoplasias de la Mama/epidemiología , Neoplasias de la Mama/psicología , COVID-19/epidemiología , Estudios de Cohortes , Brotes de Enfermedades , Femenino , Humanos , Estudios Longitudinales , Persona de Mediana Edad , Pandemias , Calidad de Vida , Centros de Atención TerciariaRESUMEN
BACKGROUND/AIMS: The study investigated the incidence of thromboembolic events (TEE) in head and neck (H&N) cancer patients who received concurrent chemoradiotherapy (CCRT) with cisplatin, and analyzed the factors affecting TEE occurrence. METHODS: Two hundred and fifty-seven patients who started CCRT with cisplatin for H&N cancer from January 2005 to December 2019 were analyzed. RESULTS: TEE occurred in five patients, an incidence rate of 1.9%. The 2-, 4-, and 6-month cumulative incidences of TEE were 0.8%, 1.6%, and 1.9%, respectively. Khorana score was the only factor associated with TEE occurrence (p = 0.010). CONCLUSION: The incidence of TEE in H&N cancer patients who underwent CCRT with cisplatin was relatively low when compared to other types of cancer. However, patients with a high Khorana score require more careful surveillance for possible TEE occurrence.
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Cisplatino , Neoplasias de Cabeza y Cuello , Protocolos de Quimioterapia Combinada Antineoplásica/efectos adversos , Quimioradioterapia/efectos adversos , Cisplatino/efectos adversos , Neoplasias de Cabeza y Cuello/terapia , Humanos , IncidenciaRESUMEN
In this study, we developed a deep learning model to identify patients with tongue cancer based on a validated dataset comprising oral endoscopic images. We retrospectively constructed a dataset of 12,400 verified endoscopic images from five university hospitals in South Korea, collected between 2010 and 2020 with the participation of otolaryngologists. To calculate the probability of malignancy using various convolutional neural network (CNN) architectures, several deep learning models were developed. Of the 12,400 total images, 5576 images related to the tongue were extracted. The CNN models showed a mean area under the receiver operating characteristic curve (AUROC) of 0.845 and a mean area under the precision-recall curve (AUPRC) of 0.892. The results indicate that the best model was DenseNet169 (AUROC 0.895 and AUPRC 0.918). The deep learning model, general physicians, and oncology specialists had sensitivities of 81.1%, 77.3%, and 91.7%; specificities of 86.8%, 75.0%, and 90.9%; and accuracies of 84.7%, 75.9%, and 91.2%, respectively. Meanwhile, fair agreement between the oncologist and the developed model was shown for cancer diagnosis (kappa value = 0.685). The deep learning model developed based on the verified endoscopic image dataset showed acceptable performance in tongue cancer diagnosis.
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Aprendizaje Profundo , Neoplasias de la Lengua , Humanos , Redes Neurales de la Computación , Curva ROC , Estudios Retrospectivos , Lengua , Neoplasias de la Lengua/diagnóstico por imagenRESUMEN
OBJECTIVE: Children with acute lymphoblastic leukemia (ALL) may be at increased risk of psychiatric disorders. This study analyzed the incidence of psychiatric disorders in children with ALL in South Korea. METHODS: Using nationwide claims data for January 2009 to March 2016, we identified three major psychiatric disorders (depression, anxiety and stress/adjustment disorder) among children diagnosed with ALL. We analyzed the incidence of psychiatric disorders before and after ALL diagnosis. RESULTS: Overall, 2160 children diagnosed with ALL were identified. Seventy-five children (3.5%) were diagnosed with at least one major psychiatric disorder from 1 year before ALL diagnosis to the last follow-up point (range: 42.5-111.5 months). Of these, 70 (93.3%) patients were identified after ALL diagnosis, with the incidence peaking 1 year after ALL diagnosis. Depression, anxiety and stress/adjustment disorders were diagnosed in 30 (1.4%), 15 (0.7%) and 30 (1.4%) patients, respectively. CONCLUSIONS: Among pediatric patients with ALL, most psychiatric disorders were identified after the diagnosis of leukemia, and psychiatric disorder incidence differed according to patient age and time since ALL diagnosis. Timely screening for and proper management of mental disorders are needed during all stages of ALL treatment.
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Trastornos de Ansiedad , Leucemia-Linfoma Linfoblástico de Células Precursoras , Trastornos de Adaptación/diagnóstico , Trastornos de Adaptación/epidemiología , Niño , Humanos , Estudios Longitudinales , Leucemia-Linfoma Linfoblástico de Células Precursoras/complicaciones , Leucemia-Linfoma Linfoblástico de Células Precursoras/diagnóstico , Leucemia-Linfoma Linfoblástico de Células Precursoras/epidemiología , República de Corea/epidemiologíaRESUMEN
The purpose of this study was to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on patients undergoing radiotherapy by comparing the patterns of unplanned radiotherapy interruption before and after the COVID-19 pandemic. We enrolled patients who received their first dose of radiotherapy for breast cancer between January 28 and July 31, 2019 and between January 28, 2020, and July 31, 2020. We compared the radiotherapy interruption patterns in 2019 with those in 2020 to analyze the impact of the COVID-19 pandemic on treatment interruption. Between January 28 and July 31, 2019, 287 patients with breast cancer received radiotherapy. Among them, 19 patients (6.6%) experienced treatment interruption; the reasons for treatment interruption were radiotherapy-related side effects (10 patients, 52.6%), other medical reasons (three patients, 15.8%), and personal reasons (six patients, 31.6%). Between January 28 and July 31, 2020, 279 patients with breast cancer received radiotherapy. Among them, 23 patients (8.2%) experienced treatment interruption; the reasons for treatment interruption were radiotherapy-related side effects (eight patients, 35%) and COVID-19 screening clinic-related reasons (six patients, 26.1%). Among the six patients with screening clinic-related causes of radiotherapy interruption, five had asymptomatic fever and one had mild cold-like symptoms. The duration of treatment interruption was longer in patients with screening clinic-related interruptions than in those with interruptions because of other causes (p = 0.019). Multivariate analysis showed that cancer stage and radiotherapy volume did not significantly affect treatment interruption. The radiotherapy of certain patients was suspended despite the lack of a confirmed COVID-19 diagnosis. Precise and systematic criteria for the management of patients with suspected COVID-19 are needed, and the opinion of radiation oncologist in charge of the patient must also be considered.
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Neoplasias de la Mama , COVID-19 , Continuidad de la Atención al Paciente/estadística & datos numéricos , Tamizaje Masivo/estadística & datos numéricos , Pandemias , Adulto , Neoplasias de la Mama/epidemiología , Neoplasias de la Mama/radioterapia , COVID-19/diagnóstico , COVID-19/epidemiología , Femenino , Humanos , Persona de Mediana Edad , Guías de Práctica Clínica como AsuntoRESUMEN
Whether targeted therapy (TT) and radiotherapy impact survival after resection of brain metastases (BM) is unknown. The purpose of this study was to analyze the factors affecting overall survival (OS), local control (LC), distant control (DC), and leptomeningeal metastases (LMM) in patients who had undergone resection of BM. We retrospectively analyzed 124 consecutive patients who had undergone resection of BM between 2004 and 2020. Patient information about age, sex, Karnofsky Performance Scale (KPS), origin of cancer, synchronicity, tumor size, status of primary cancer, use of TT, extent of resection, and postoperative radiotherapy was collected. Radiation therapy was categorized into whole-brain radiotherapy (WBRT), localized radiotherapy (local brain radiotherapy or stereotactic radiosurgery (LBRT/SRS)), and no radiation. We identified factors that affect OS, LC, DC, and LMM. In multivariable analysis, significant factors for OS were higher KPS score (≥90) (HR 0.53, p = 0.011), use of TT (HR 0.43, p = 0.001), controlled primary disease (HR 0.63, p = 0.047), and single BM (HR 0.55, p = 0.016). Significant factors for LC were gross total resection (HR 0.29, p = 0.014) and origin of cancer (p = 0.041). Both WBRT and LBRT/SRS showed superior LC than no radiation (HR 0.32, p = 0.034 and HR 0.38, p = 0.018, respectively). Significant factors for DC were use of TT (HR 0.54, p = 0.022) and single BM (HR 0.47, p = 0.004). Reduced incidence of LMM was associated with use of TT (HR 0.42, p = 0.038), synchronicity (HR 0.25, p = 0.028), and controlled primary cancer (HR 0.44, p = 0.047). TT was associated with prolonged OS, improved DC, and reduced LMM in resected BM patients. WBRT and LBRT/SRS showed similar benefits on LC. Considering the extended survival of cancer patients and the long-term effect of WBRT on cognitive function, LBRT/SRS appears to be a good option after resection of BM.
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Delayed wound healing in heavily irradiated areas is a serious clinical complication that makes widespread therapeutic use of radiation difficult. Efficient treatment strategies are urgently required for addressing radiation-induced wound failure. Herein, we applied liquid-type nonthermal atmospheric plasma (LTP) to a silk-fibrin (SF) composite gel to investigate whether controlled release of LTP from SF hydrogel not only induced favorable cellular events in an irradiated wound bed but also modulated the SF hydrogel microstructure itself, eventually facilitating the development of a regenerative microenvironment. Scanning electron microscopy and Fourier-transform infrared spectroscopy revealed that LTP modulated the microstructures and chemical bindings of the SF gel. Improved cell viability, morphology, and extracellular matrix depositions by the LTP-treated SF hydrogel were identified with wound-healing assays and immunofluorescence staining. An irradiated random-pattern skin-flap animal model was established in six-week-old C57/BL6 mice. Full-thickness skin was flapped from the dorsum and SF hydrogel was placed underneath the raised skin flap. Postoperative histological analysis of the irradiated random-pattern skin-flap mice model suggested that LTP-treated SF hydrogel much improved wound regeneration and the inflammatory response compared to the SF hydrogel- and sham-treated groups. These results support that LTP-treated SF hydrogel significantly enhanced irradiated wound healing. Cellular and tissue reactions to released LTP from the SF hydrogel were favorable for the regenerative process of the wound; furthermore, mechanochemical properties of the SF gel were improved by LTP.
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Fibroínas , Seda , Animales , Fibrina , Hidrogeles , Ratones , Cicatrización de HeridasRESUMEN
BACKGROUND/AIM: Using nationwide data from South Korea, we analyzed the prevalence of mental disorders among patients with nasopharyngeal carcinoma (NPC) who received radiotherapy (RT). PATIENTS AND METHODS: Data were collected between January 2010 and December 2014, and 1,819 patients diagnosed with NPC who underwent RT were identified. We calculated the prevalence of the five most commonly diagnosed mental disorders and their incidences according to a time sequence based on the time of RT. RESULTS: Among 1,819 patients, 144 (7.9%) were diagnosed at least once with a mental disorder between one year before the start of RT and the last follow-up. Based on the first diagnosis, 51 (35.4%) patients experienced anxiety, and 46 (31.9%) suffered from depression. The frequency of mental disorders increased up to the beginning of RT and then declined. Before the start of RT, anxiety was most frequent, and depression occurred after the start of RT. The cumulative incidence of mental disorders in the older age group tended to be higher than that of the younger group (≥54 vs. <54 years, log-rank p=0.052). CONCLUSION: The proportion of mental disorders differed before and after the start of RT in patients with NPC. At the beginning of RT, mental disorders emerged most often during management. Early screenings and interventions for mental disorders were able to improve quality of life (QOL).
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Trastornos Mentales , Neoplasias Nasofaríngeas , Anciano , Ansiedad , Humanos , Trastornos Mentales/epidemiología , Trastornos Mentales/etiología , Carcinoma Nasofaríngeo/epidemiología , Carcinoma Nasofaríngeo/radioterapia , Neoplasias Nasofaríngeas/epidemiología , Neoplasias Nasofaríngeas/radioterapia , Calidad de VidaRESUMEN
PURPOSE: This study describes the protocol for the design and evaluation of a self-assessment based educational program supporting cancer patients' return-to-work (RTW), prior to its complete and ongoing implementation. METHODS: We designed a multi-center, randomized controlled trial with three follow-up points. The study population (N = 239) includes recently diagnosed cancer patients who plan to receive active treatment at two university hospitals in Korea. A pre-test is conducted at the point of enrollment for both groups. The intervention group receives a leaflet clarifying misconceptions about RTW and is shown a video clip of patient interviews concerning RTW. The control group receives a booklet about cancer and nutrition, and is not provided with further intervention. After active treatment, the intervention group receives a one-time, face-to-face education session with an oncology nurse. Following the education session, both groups receive three follow-up phone calls. The first follow-up call occurs at the end of intervention and at the end of active treatment for intervention and control groups, respectively. The next two follow-up calls will be conducted one month and a year following the post-test. The primary outcome is whether the patient has RTW or has plans to RTW, and the secondary outcome is knowledge of RTW. RESULTS: As of April 2020, 239 patients have been enrolled in the trial. Statistical analyses will be conducted upon trial completion in December 2020. DISCUSSION: We hypothesize that the provision of RTW education near diagnosis will not only enhance patients' intentions to RTW, but also effectively encourage them to RTW.
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BACKGROUND: This longitudinal study aimed to analyze the prevalence of psychological distress in esophageal cancer survivors, using claims data in South Korea. METHODS: From January 2010 to December 2014, we identified the four most frequent psychological distress in a nationwide cohort of 8,879 patients diagnosed with esophageal cancer. We analyzed the prevalence and the pattern of psychological distress before and after the initial treatment. RESULTS: Among esophageal cancer patients, 669 patients (7.5%) were diagnosed with a psychological distress between 1 year prior to initial treatment and the time of last follow-up. Among them, depression and anxiety had a similar frequency of 237 (35.4%). The overall frequency of psychological distress peaked within 2 months after the initial treatment. Stress reaction/adjustment disorders showed the highest increase rate after treatment. The rate of patients who had psychological distress was higher among those who underwent surgery as their initial treatment than in those who received radiotherapy [odds ratio (OR): 1.39, P<0.001]. Further, female patients were more likely to be diagnosed with psychological distress compared with male patients (OR: 1.30, P<0.001). CONCLUSIONS: Psychological distress in esophageal cancer survivors showed different patterns of prevalence depending on the nature of disease, sex, and initial treatment. Considering individual factors, timely diagnosis and intervention for psychological distress could improve the quality of life for esophageal cancer survivors.
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BACKGROUND/AIM: We quantified the incidence, and identified risk factors for influenza infection among childhood cancer survivors in South Korea, an at-risk population. PATIENTS AND METHODS: Nationwide health insurance claims data were used to assess the frequency of influenza among childhood cancer survivors (aged <20 years) diagnosed between January 2009 and April 2016. A multivariable logistic regression was constructed to identify risk factors for influenza. RESULTS: Of 6,457 children cancer survivors, 1,704 (27.0%) were diagnosed with influenza. Influenza was common in children <5 years old and infections were highest between late October and April. Over 60% of influenza treatment claims came from private clinics. Risk factors for influenza included age <9 years. CONCLUSION: Childhood cancer survivors are particularly at-risk for influenza infection during the traditional influenza season. Identifying risks for influenza infection will help to establish countermeasures for reducing the influenza infections in at-risk cancer surviving children.
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Supervivientes de Cáncer , Gripe Humana/epidemiología , Adolescente , Niño , Preescolar , Femenino , Humanos , Incidencia , Lactante , Masculino , Oportunidad Relativa , Vigilancia en Salud Pública , República de Corea/epidemiología , Estudios Retrospectivos , Factores de Riesgo , Estaciones del AñoRESUMEN
AIM: This time-dependent study aimed to analyze the prevalence of psychological distress in prostate cancer survivors by using claims data in South Korea. METHODS: In a nationwide cohort, 32 005 patients were identified who were diagnosed with prostate cancer between January 2010 and December 2014. We referred the diagnostic codes of mental disorders as psychological distress. We categorized the prevalence of psychological distress based on age and specific times before and after the cancer diagnosis. RESULTS: The median age at diagnosis of prostate cancer was 70 years. Among 32 005 patients, 3074 (9.6%) were diagnosed at least once with a mental disorder between 1 year before the cancer diagnosis and the last follow-up. Among the first diagnoses of each patient, the common mental disorders were anxiety (39.1%) and depression (33.0%). In the total cohort, there were 54 666 claims for mental disorders and over 48.0% (26 256) were for depression. The frequency of psychological distress peaked just before cancer diagnosis. Anxiety was frequent before diagnosis of prostate cancer, whereas depression was frequent after diagnosis. Although stress reaction/adjustment disorders were relatively high in the younger group, depression was relatively high in the elderly group. CONCLUSION: Psychological distress in prostate cancer survivors showed different patterns of prevalence between before and after cancer diagnosis, as well as between age groups. Timely diagnosis and intervention for mental health could promote quality of life for prostate cancer survivors.
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Supervivientes de Cáncer/psicología , Neoplasias de la Próstata/psicología , Distrés Psicológico , Anciano , Humanos , Estudios Longitudinales , Masculino , Persona de Mediana Edad , Calidad de Vida/psicología , República de CoreaRESUMEN
BACKGROUND/AIMS: We investigated metabolic comorbidity status and patterns of medical institution utilization among breast cancer survivors using medical claims data from the Health Insurance Review and Assessment Service (HIRA). METHODS: Using claims data obtained from the HIRA, we selected breast cancer survivors between 2010 and 2015. Descriptive statistics were calculated to determine the frequency of metabolic comorbidities, as well as to analyze patterns of medical institution utilization in accordance with disease status. RESULTS: A total of 89,953 breast cancer survivors were identified. Among these, 12,364 (13.7%) had hypercholesterolemia, 20,754 (23.1%) had hypertension (HTN), and 11,102 (12.3%) had diabetes mellitus (DM). In particular, more than half of breast cancer survivors older than 60 years had HTN, and other diseases sharply increased beginning at age 50 years. For HTN, a total of 531,292 claims were submitted; more than 80% (n = 473,737) were from primary medical institutions, whereas only 2.4% (n = 12,551) were from tertiary medical institutions. The number of claims submitted for DM was 231,526; those from primary medical institutions accounted for 68.5% (n = 158,566), whereas claims from tertiary medical institutions accounted for 12.0% (n = 27,693). In subgroup analyses, the utilization of secondary and tertiary medical institutions was higher among patients with severe diseases and those diagnosed following their breast cancer diagnosis. CONCLUSION: More than 10% of breast cancer survivors were diagnosed with a metabolic comorbidity. Through analysis of medical institution utilization patterns, we ascertained that a communication system linking secondary and tertiary medical institutions with primary medical institutions is needed.