1.Survival Analysis and Prognostic Factors for Peri-ocular Malignancies in Malaysia
Dhashani Sivaratnam ; Radzlian Othman ; Navin Kumar Devaraj ; Yap Ming Teck ; Vincent Ng Teng Fung ; Ew Shao Chen ; Ramizah Md Rozi ; Nur Najlaa Baharudin ; Kirbashini Kanasan ; Abdul Hanif Khan Yusof Khan ; Vasudevan Ramachandran ; Siew Moi Ching
Malaysian Journal of Medicine and Health Sciences 2024;20(No.1):60-69
Introduction: This study aims to determine the prognostic factors and survival outcomes of patients that underwent
this surgery. Method: A retrospective review of 43 patients who underwent exenteration for periocular malignancies
over a 14-year period was carried out. Patient demographics, tumour histology, treatment details, surgical margins’
status and post-operative survival were recorded. The survival outcome examined was the overall survival (OS)
rate. Cox regression and Kaplan-Meier analysis were used to evaluate post-exenteration survival. Results: In total,
20 females and 23 males with a median age of 62 ± 17.3 years were identified. The most common indication for
exenteration was basal cell carcinoma (20.9%), followed by squamous cell carcinoma (18.6%), adenocystic carcinoma (14%), malignant melanoma (14%) and sebaceous gland carcinoma (11.6%). The independent predictors for
worse OS on multivariate analysis were Chinese ethnicity (adjusted hazard ratio [aHR] 4.95, p =0.017), sebaceous
gland carcinoma (aHR 57.61 p=0.006), adenocystic carcinoma (aHR 45.87, p=0.008), clear surgical margins (aHR
5.41, p=0.025), receiving only chemotherapy (aHR 169.13, p=0.004), and receiving both adjuvant chemotherapy
and radiotherapy (aHR 41.51, p=0.010). Conclusion: We recommend targeted public health initiatives for Chinese
patients due to their increased mortality risk from peri-ocular malignancies. In addition, we advise comprehensive
adjuvant therapy for all patients regardless of whether a clear surgical margin is achieved. Basal cell carcinoma and
adenocystic carcinoma may also benefit from genetic research. We advocate more training for ophthalmologists to
identify periocular malignancies earlier for better treatment options and increased chances of survival.
2.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
3.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
4.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
5.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
6.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
7.The impact of short-course total neoadjuvant therapy, long-course chemoradiotherapy, and upfront surgery on the technical difficulty of total mesorectal excision: an observational study with an intraoperative perspective
Cheryl Xi-Zi CHONG ; Frederick H. KOH ; Hui-Lin TAN ; Sharmini Su SIVARAJAH ; Jia-Lin NG ; Leonard Ming-Li HO ; Darius Kang-Lie AW ; Wen-Hsin KOO ; Shuting HAN ; Si-Lin KOO ; Connie Siew-Poh YIP ; Fu-Qiang WANG ; Fung-Joon FOO ; Winson Jianhong TAN
Annals of Coloproctology 2024;40(5):451-458
Purpose:
Total neoadjuvant therapy (TNT) is becoming the standard of care for locally advanced rectal cancer. However, surgery is deferred for months after completion, which may lead to fibrosis and increased surgical difficulty. The aim of this study was to assess whether TNT (TNT-RAPIDO) is associated with increased difficulty of total mesorectal excision (TME) compared with long-course chemoradiotherapy (LCRT) and upfront surgery.
Methods:
Twelve laparoscopic videos of low anterior resection with TME for rectal cancer were prospectively collected from January 2020 to October 2021, with 4 videos in each arm. Seven colorectal surgeons assessed the videos independently, graded the difficulty of TME using a visual analog scale and attempted to identify which category the videos belonged to.
Results:
The median age was 67 years, and 10 patients were male. The median interval to surgery from radiotherapy was 13 weeks in the LCRT group and 24 weeks in the TNT-RAPIDO group. There was no significant difference in the visual analog scale for difficulty in TME between the 3 groups (LCRT, 3.2; TNT-RAPIDO, 4.6; upfront, 4.1; P=0.12). A subgroup analysis showed similar difficulty between groups (LCRT 3.2 vs. TNT-RAPIDO 4.6, P=0.05; TNT-RAPIDO 4.6 vs. upfront 4.1, P=0.54). During video assessments, surgeons correctly identified the prior treatment modality in 42% of the cases. TNT-RAPIDO videos had the highest recognition rate (71%), significantly outperforming both LCRT (29%) and upfront surgery (25%, P=0.01).
Conclusion
TNT does not appear to increase the surgical difficulty of TME.
9.Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Noriyuki TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(7):603-612
Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater number of radiologists are becoming AI-literate. However, the adoption and implementation of AI solutions in clinical settings have been slow, with points of contention. A group of AI users comprising mainly clinical radiologists across various Asian countries, including India, Japan, Malaysia, Singapore, Taiwan, Thailand, and Uzbekistan, formed the working group. This study aimed to draft position statements regarding the application and clinical deployment of AI in radiology. The primary aim is to raise awareness among the general public, promote professional interest and discussion, clarify ethical considerations when implementing AI technology, and engage the radiology profession in the ever-changing clinical practice. These position statements highlight pertinent issues that need to be addressed between care providers and care recipients. More importantly, this will help legalize the use of non-human instruments in clinical deployment without compromising ethical considerations, decision-making precision, and clinical professional standards. We base our study on four main principles of medical care—respect for patient autonomy, beneficence, non-maleficence, and justice.


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