Harim Kim, Jonghoon Kim, Soohyun Hwang, You Jin Oh, Joong Hyun Ahn, Min-Ji Kim, Tae Hee Hong, Sung Goo Park, Joon Young Choi, Hong Kwan Kim, Jhingook Kim, Sumin Shin, Ho Yun Lee
Cancer Res Treat. 2025;57(1):57-69. Published online June 26, 2024
Purpose This study aimed to develop a magnetic resonance imaging (MRI)–based radiomics model to predict high-risk pathologic features for lung adenocarcinoma: micropapillary and solid pattern (MPsol), spread through air space, and poorly differentiated patterns.
Materials and Methods As a prospective study, we screened clinical N0 lung cancer patients who were surgical candidates and had undergone both 18F-fluorodeoxyglucose (FDG) positron emission tomography–computed tomography (PET/CT) and chest CT from August 2018 to January 2020. We recruited patients meeting our proposed imaging criteria indicating high-risk, that is, poorer prognosis of lung adenocarcinoma, using CT and FDG PET/CT. If possible, these patients underwent an MRI examination from which we extracted 77 radiomics features from T1-contrast-enhanced and T2-weighted images. Additionally, patient demographics, maximum standardized uptake value on FDG PET/CT, and the mean apparent diffusion coefficient value on diffusion-weighted image, were considered together to build prediction models for high-risk pathologic features.
Results Among 616 patients, 72 patients met the imaging criteria for high-risk lung cancer and underwent lung MRI. The magnetic resonance (MR)–eligible group showed a higher prevalence of nodal upstaging (29.2% vs. 4.2%, p < 0.001), vascular invasion (6.5% vs. 2.1%, p=0.011), high-grade pathologic features (p < 0.001), worse 4-year disease-free survival (p < 0.001) compared with non-MR-eligible group. The prediction power for MR-based radiomics model predicting high-risk pathologic features was good, with mean area under the receiver operating curve (AUC) value measuring 0.751-0.886 in test sets. Adding clinical variables increased the predictive performance for MPsol and the poorly differentiated pattern using the 2021 grading system (AUC, 0.860 and 0.907, respectively).
Conclusion Our imaging criteria can effectively screen high-risk lung cancer patients and predict high-risk pathologic features by our MR-based prediction model using radiomics.
Purpose We evaluated the association between changes in social support after cancer treatment and recurrence-free survival (RFS) in such patients using a prospective cohort study.
Materials and Methods Data were obtained from a prospective cohort study (NCT03131089) conducted at Samsung Medical Center (2013-2021). The primary outcome measure was RFS. Social support was measured using the social and family well-being (SFWB) domain of the Functional Assessment of Cancer Therapy-General. We calculated the changes in SFWB scores before and during treatment and the hazard ratio for RFS by comparing such changes.
Results The mean±standard deviation (SD) age of the patients was 35±3.9 years, and 71.5% and 64.8% of the patients were married and had children, respectively. The mean±SD SFWB score at baseline was 20.5±5.0 out of 26. After cancer treatment, 35.9%, 10.3%, and 53.8% of the participants had increasing, unchanged, and decreasing SFWB scores, respectively. The decreasing SFWB score group had a higher risk of mortality or recurrence than the increasing group. Risk factors for the decreasing score were the presence of children during diagnosis.
Conclusion In this cohort, changes in social support after treatment were associated with RFS in young patients with breast cancer. Health professionals should develop family interventions to help them receive proper social support.
Purpose
The evidence of adherence to cancer prevention guidelines and endometrial cancer (EC) risk has been limited and controversial. This study summarizes and quantifies the relationship between adherence to cancer prevention guidelines and EC risk.
Materials and Methods
The online databases PubMed, Web of Science, and EMBASE were searched for relevant publications up to June 2, 2020. This study had been registered at PROSPERO. The registration number is CRD42020149966. Study quality evaluation was performed based on the Newcastle-Ottawa Scale. The I2 statistic was used to estimate heterogeneity among studies. Egger’s and Begg’s tests assessed potential publication bias. Summary hazard ratios (HRs) and 95% confidence intervals (CIs) for the relationship between adherence to cancer prevention guidelines score was assigned to participants by summarizing individual scores for each lifestyle-related factor. The scores ranged from least healthy (0) to most healthy (20) and the EC risk was calculated using a randomeffects model.
Results
Five prospective studies (four cohort studies and one case‑cohort study) consisted of 4,470 EC cases, where 597,047 participants were included. Four studies had a low bias risk and one study had a high bias risk. Summary EC HR for the highest vs. lowest score of adherence to cancer prevention guidelines was 0.54 (95% CI, 0.40 to 0.73) and had a high heterogeneity (I2=86.1%). For the dose-response analysis, an increment of 1 significantly reduced the risk of EC by 6%. No significant publication bias was detected.
Conclusion
This study suggested that adherence to cancer prevention guidelines was negatively related to EC risk.
Citations
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Jin Won Kim, Se Hyun Kim, Yun-Gyoo Lee, In Gyu Hwang, Jin Young Kim, Su-Jin Koh, Yoon Ho Ko, Seong Hoon Shin, In Sook Woo, Soojung Hong, Tae-Yong Kim, Ji Yeon Baek, Hyun Jung Kim, Hyo Jung Kim, Myung Ah Lee, Jung Hye Kwon, Yong Sang Hong, Hun-Mo Ryoo, Kyung Hee Lee, Jee Hyun Kim
Cancer Res Treat. 2019;51(3):1249-1256. Published online January 2, 2019
Purpose
The purpose of this study was to prospectively validate the Korean Cancer Study Group Geriatric Score (KG)-7, a novel geriatric screening tool, in older patients with advanced cancer planned to undergo first-line palliative chemotherapy.
Materials and Methods
Participants answered the KG-7 questionnaire before undergoing geriatric assessment (GA) and first-line palliative chemotherapy. The performance of KG-7 was evaluated by calculating the sensitivity (SE), specificity (SP), positive and negative predictive value (PPV and NPV), balanced accuracy (BA), and area under the curve (AUC).
Results
The baseline GA and KG-7 results were collected from 301 patients. The median age was 75 years (range, 70 to 93 years). Abnormal GA was documented in 222 patients (73.8%). Based on the ≤ 5 cut-off value of KG-7 for abnormal GA, abnormal KG-7 score was shown in 200 patients (66.4%). KG-7 showed SE, SP, PPV, NPV, and BA of 75.7%, 59.7%, 84.4%, 46.0%, and 67.7%, respectively; AUC was 0.745 (95% confidence interval, 0.687 to 0.803). Furthermore, patients with higher KG-7 scores showed significantly longer survival (p=0.006).
Conclusion
KG-7 appears to be adequate in identifying patients with abnormal GA prospectively. Hence, KG-7 can be a useful screening tool for Asian countries with limited resources and high patient volume.
Citations
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