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Background: Tailored axillary surgery (TAS) is a new approach for selective removal of metastatic lymph nodes. This study evaluated the safety and utility of TAS using a breast biopsy clip inserted into a metastatic lymph node and a point marker consisting of a short hook wire and nylon thread to remove the clipped lymph node., Methods: Patients with breast cancer and clinically confirmed metastases to one-to-three axillary lymph nodes were included in this study. A breast biopsy clip was inserted into the metastatic lymph nodes before neoadjuvant chemotherapy. TAS was performed in patients with ycN0 disease after neoadjuvant chemotherapy. The lymph nodes containing the clips were removed using a point marker. The success criteria for TAS were the removal of the lymph node into which the clip was inserted using a point marker and the identification of the sentinel lymph node. The false-negative rate was calculated for cases in which TAS and axillary lymph node dissection were performed., Results: Thirty individuals from two institutions were enrolled between May 2021 and November 2022, of whom 20 underwent TAS. Ten patients had clinically positive axillary lymph nodes and underwent axillary lymph node dissection. No adverse events were observed in any patient using the clips or point markers. TAS was successful in 18 of the 20 patients (90%). Seven patients underwent TAS and axillary lymph node dissection with a false-negative rate of 0%., Conclusion: The use of clips and point markers to perform TAS is clinically feasible., (© 2024. The Author(s), under exclusive licence to The Japanese Breast Cancer Society.)

Various cancer-related information is spreading on social media. Our study aimed to examine the account types associated with cancer-related tweets (currently known as posts) on Twitter (currently known as X) in Japan, specifically focusing on breast, lung, and colon cancer. Using the Twitter application programming interface, we collected tweets containing keywords of the three cancers type in August-September 2022. The accounts were categorized into seven types: Survivor, Patient's family, Healthcare provider, Public organization, Private organization, News, and Other according to account name and texts. We analyzed the sources of the top 50 most liked and retweeted tweets. Out of 7753 identified tweets, breast cancer represented the majority (62.8%), followed by lung cancer (20.8%) and colon cancer (16.3%). Tweets came from 4976 accounts. Account types varied depending on the cancer type, with breast cancer topics more frequently from Survivor (16.0%) and lung cancer from Patient's family (16.3%). Healthcare provider and Public organization had minimal representation across three cancer types. The trends in the top 50 tweets mirrored the distribution of accounts for each cancer type. Breast cancer-related tweets had the highest frequency. There were few from public organizations. These findings emphasize the need to consider the characteristics of cancer-related information sources when sharing and gathering information on social media., (© 2024. The Author(s).)

Background: The widespread use of social media has made it easier for patients to access cancer information. However, a large amount of misinformation and harmful information that could negatively impact patients' decision-making is also disseminated on social media platforms., Objective: We aimed to determine the actual amount of misinformation and harmful information as well as trends in the dissemination of cancer-related information on Twitter, a representative social media platform. Our findings can support decision-making among Japanese patients with cancer., Methods: Using the Twitter app programming interface, we extracted tweets containing the term "cancer" in Japanese that were posted between August and September of 2022. The eligibility criteria were the cancer-related tweets with the following information: (1) reference to the occurrence or prognosis of cancer, (2) recommendation or nonrecommendation of actions, (3) reference to the course of cancer treatment or adverse events, (4) results of cancer research, and (5) other cancer-related knowledge and information. Finally, we selected the top 100 tweets with the highest number of "likes." For each tweet, 2 independent reviewers evaluated whether the information was factual or misinformation, and whether it was harmful or safe with the reasons for the decisions on the misinformation and harmful tweets. Additionally, we examined the frequency of information dissemination using the number of retweets for the top 100 tweets and investigated trends in the dissemination of information., Results: The extracted tweets totaled 69,875. Of the top 100 cancer-related tweets with the most "likes" that met the eligibility criteria, 44 (44%) contained misinformation, 31 (31%) contained harmful information, and 30 (30%) contained both misinformation and harmful information. Misinformation was described as Unproven (29/94, 40.4%), Disproven (19/94, 20.2%), Inappropriate application (4/94, 4.3%), Strength of evidence mischaracterized (14/94, 14.9%), Misleading (18/94, 18%), and Other misinformation (1/94, 1.1%). Harmful action was described as Harmful action (9/59, 15.2%), Harmful inaction (43/59, 72.9%), Harmful interactions (3/59, 5.1%), Economic harm (3/59, 5.1%), and Other harmful information (1/59, 1.7%). Harmful information was liked more often than safe information (median 95, IQR 43-1919 vs 75.0 IQR 43-10,747; P=.04). The median number of retweets for the leading 100 tweets was 13.5 (IQR 0-2197). Misinformation was retweeted significantly more often than factual information (median 29.0, IQR 0-502 vs 7.5, IQR 0-2197; P=.01); harmful information was also retweeted significantly more often than safe information (median 35.0, IQR 0-502 vs 8.0, IQR 0-2197; P=.002)., Conclusions: It is evident that there is a prevalence of misinformation and harmful information related to cancer on Twitter in Japan and it is crucial to increase health literacy and awareness regarding this issue. Furthermore, we believe that it is important for government agencies and health care professionals to continue providing accurate medical information to support patients and their families in making informed decisions., (©Nari Kureyama, Mitsuo Terada, Maho Kusudo, Kazuki Nozawa, Yumi Wanifuchi-Endo, Takashi Fujita, Tomoko Asano, Akiko Kato, Makiko Mori, Nanae Horisawa, Tatsuya Toyama. Originally published in JMIR Formative Research (https://formative.jmir.org), 06.09.2023.)