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The text explains the rationale for earlier, more accurate decision-making compared with watch-and-wait strategies and describes using pretreatment MRI radiomic features to train and validate regression models. It reports that a limited set of MRI-derived features can predict complete clinical response effectively, while adding routine clinical variables yields limited incremental gains, followed by contextual discussion of neoadjuvant therapy benefits and goals.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/winners-of-the-2023-honor-awards-for-excellence-at-the-annual-meeting-of-the-chinese-medical-association-taipei-part-vi/436295/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/winners-of-the-2023-honor-awards-for-excellence-at-the-annual-meeting-of-the-chinese-medical-association-taipei-part-vi/436295.png","ImageObject",300,407,{"name":92,"@type":93},"Valentina","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Who is introduced as a recognized winner in this Part VI editorial?","Question",{"text":112,"@type":113},"This part introduces Dr. Chou, recognized as the 2023 Excellent Researcher, and notes support from Chinese Medical Association-Taipei and Melissa Lee Cancer Foundation.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why is determining response after NA-CCRT for locally advanced rectal cancer challenging?",{"text":117,"@type":113},"The text highlights the difficulty of evaluating response after NA-CCRT, and it links this challenge to concerns that watch-and-wait strategies may delay definitive therapy and worsen oncologic outcomes.",{"name":119,"@type":110,"acceptedAnswer":120},"What modeling approach is used to predict therapeutic effect, and what is the key finding?",{"text":121,"@type":113},"Selected radiomic features from pretreatment MRI are used to train and validate regression models. Results indicate that regression models using 11 MRI features can successfully predict complete clinical response, and adding six routine clinical features does not substantially improve performance.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},436295,1790813608,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":39,"preview_page_count":4},13056703020460,"https://ap-avatar.wpscdn.com/avatar/be000253dac470eee5d?_k=1778207105932848923","J Chin MedAssoc  \nEditorial  \nWinners of the 2023 honor awards for excellence at the annual meeting of the Chinese Medical Association-Taipei: Part VI  \nPeng-Hui Wanga,b,c,*, Wen-Hsun Changa,d  \naDepartment of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC; bInstitute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; cFemale Cancer Foundation, Taipei, Taiwan, ROC; dDepartment of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan, ROC  \nIn this part VI, we are pleased to introduce Dr. Chou who is recognized the 2023 Excellent Researcher to win the Awards, supported by both Chinese Medical Association-Taipei and Melissa Lee Cancer Foundation.1 This article is one of the top nine excellent articles chosen from all original articles published in 2023 issues of the Journal of Chinese Medical Association (JCMA) .1–9 Based on the fact observing that cancer has become the top one leading cause of mortality in Taiwan, the further improvement in cancer care is urgently needed.10,11 To achieve this goal, many strategies have been conducted, including cost-effective prevention programs (healthy lifestyle and risk identification and management as well as high-quality screening test to decrease the incidence of cancer), accurate diagnostic methods (early diagnosis) and adequate, optimal and effective treatment.10,11 However, it is not easy, partly because every strategy as shown above still includes many steps to be completed, and partly because some of them are under the development.12 The current excellent research work by Dr. Chou’s group may be a typical example, which focused on the predicting factors for adequate, optimal, and effective treatment.  \nBecause of the challenge to determine the response in patients with locally advanced rectal cancers (LARC) after neoadjuvant concurrent chemoradiation therapy (NA-CCRT), Dr. Chou and his colleagues attempted to use the selected radiomic features extracted from pretreatment magnetic resonance images (MRI) to train and validate regression models to predict the therapeutic effect more efficiently.1 In the past years, although neoadjuvant therapy (NAT) has become popular in certain stages or certain types of cancers, there is no doubt that it is a watch-andwait strategy, which raises the critique that this approach may delay the definite therapy for these patients and subsequently contribute to the worse oncologic outcome. Additionally, the image systems obtained from MRI features can be analyzed as T1-weighted, T2-wighted and T3-weighted images, and T3 images were the most common primary tumor classification, but  \n*Address correspondence. Dr. Peng-Hui Wang, Department of Obstetricsand Gynecology, Taipei Veterans General Hospital, 201, Section 2, Shi-Pai Road, Taipei 112, Taiwan, [ROC. E-mail addresses: phwang@vghtpe.gov.tw](ROC. E-mail addresses: phwang@vghtpe.gov.tw); [pongpongwang@gmail.com](pongpongwang@gmail.com) (P.-H. Wang).  \nConflicts of interest: Dr. Peng-Hui Wang, an editorial board member at the Journal of the Chinese Medical Association, had no role in the peer review process of or decision to publish this article. Wen-Hsun Chang declares that he has no conflicts of interest related to the subject matter or materials discussed in this article. Journal of Chinese Medical Association. (2024) 87: 901-903.  \nReceived July 19, 2024; accepted July 20, 2024  \ndoi: 10. 1097/JCMA.0000000000001140  \nCopyright © 2024, the Chinese Medical Association. This is an open access article under the CC BY-NC-ND license ([http://creativecommons.org/licenses/](http://creativecommons.org/licenses/)[ ](http://creativecommons.org/licenses/)[by-nc-nd/4.0/](by-nc-nd/4.0/))  \nthe further advanced analysis from T3 images is less frequent. On contrary, T2 weighted MRI images may be more useful and effective in the predicting the therapeutic outcome, particular for those needing evaluation of response after NAT.1  \nVarious kinds of T2 ","cbCaibguEkS2HhVe","https://ap.wps.com/l/cbCaibguEkS2HhVe","pdf",266189,"English","# Editorial\n## Award introduction and research overview\n## Need for improved response prediction after NA-CCRT\n## MRI radiomic features and regression modeling\n## Role of neoadjuvant therapy background","[{\"question\":\"Who is introduced as a recognized winner in this Part VI editorial?\",\"answer\":\"This part introduces Dr. Chou, recognized as the 2023 Excellent Researcher, and notes support from Chinese Medical Association-Taipei and Melissa Lee Cancer Foundation.\"},{\"question\":\"Why is determining response after NA-CCRT for locally advanced rectal cancer challenging?\",\"answer\":\"The text highlights the difficulty of evaluating response after NA-CCRT, and it links this challenge to concerns that watch-and-wait strategies may delay definitive therapy and worsen oncologic outcomes.\"},{\"question\":\"What modeling approach is used to predict therapeutic effect, and what is the key finding?\",\"answer\":\"Selected radiomic features from pretreatment MRI are used to train and validate regression models. Results indicate that regression models using 11 MRI features can successfully predict complete clinical response, and adding six routine clinical features does not substantially improve performance.\"}]","Winners of the 2023 honor awards for excellence at the annual meeting of the Chinese Medical Association-Taipei - Part VI | PDF",1790677520]