Investigator

Keith WH Chiu

Honorary Clinical Associate Professor · University of Hong Kong, Department of Diagnostic Radiology

KWCKeith WH Chiu
Papers(2)
Association between H…Diffusion-weighted ma…
Collaborators(10)
Elaine Yuen Phin LeeJose AU PeruchoMandy Man Yee ChuEdward S HuiEsther Man Fung WongHe AnHerbert PangHextan Yuen Sheung Ng…Lawrence Wing Chi ChanKa Yu Tse
Institutions(4)
University Of Hong Ko…University of Hong Ko…The Chinese Universit…Pamela Youde Netherso…

Papers

Association between High Diffusion-Weighted Imaging-Derived Functional Tumor Burden of Peritoneal Carcinomatosis and Overall Survival in Patients with Advanced Ovarian Carcinoma

To investigate the association between functional tumor burden of peritoneal carcinomatosis (PC) derived from diffusion-weighted imaging (DWI) and overall survival in patients with advanced ovarian carcinoma (OC). This prospective study was approved by the local research ethics committee, and informed consent was obtained. Fifty patients (mean age ± standard deviation, 57 ± 12 years) with stage III-IV OC scheduled for primary or interval debulking surgery (IDS) were recruited between June 2016 and December 2021. DWI (b values: 0, 400, and 800 s/mm²) was acquired with a 16-channel phased-array torso coil. The functional PC burden on DWI was derived based on K-means clustering to discard fat, air, and normal tissue. A score similar to the surgical peritoneal cancer index was assigned to each abdominopelvic region, with additional scores assigned to the involvement of critical sites, denoted as the functional peritoneal cancer index (fPCI). The apparent diffusion coefficient (ADC) of the largest lesion was calculated. Patients were dichotomized by immediate surgical outcome into high- and low-risk groups (with and without residual disease, respectively) with subsequent survival analysis using the Kaplan-Meier curve and log-rank test. Multivariable Cox proportional hazards regression was used to evaluate the association between DWI-derived results and overall survival. Fifteen (30.0%) patients underwent primary debulking surgery, and 35 (70.0%) patients received neoadjuvant chemotherapy followed by IDS. Complete tumor debulking was achieved in 32 patients. Patients with residual disease after debulking surgery had reduced overall survival ( A high DWI-derived functional tumor burden was associated with decreased overall survival in patients with advanced OC.

Diffusion-weighted magnetic resonance imaging of primary cervical cancer in the detection of sub-centimetre metastatic lymph nodes

Abstract Background Magnetic resonance imaging (MRI) has limited accuracy in detecting pelvic lymph node (PLN) metastasis. This study aimed to examine the use of intravoxel incoherent motion (IVIM) in classifying pelvic lymph node (PLN) involvement in cervical cancer patients. Methods Fifty cervical cancer patients with pre-treatment magnetic resonance imaging (MRI) were examined for PLN involvement by one subspecialist and one non-subspecialist radiologist. PLN status was confirmed by positron emission tomography or histology. The tumours were then segmented by both radiologists. Kruskal-Wallis tests were used to test for differences between diffusion tumour volume (DTV), apparent diffusion coefficient (ADC), pure diffusion coefficient (D), and perfusion fraction (f) in patients with no malignant PLN involvement, those with sub-centimetre and size-significant PLN metastases. These parameters were then considered as classifiers for PLN involvement, and were compared with the accuracies of radiologists. Results Twenty-one patients had PLN involvement of which 10 had sub-centimetre metastatic PLNs. DTV increased (p = 0.013) while ADC (p = 0.015), and f (p = 0.006) decreased as the nodal status progressed from no malignant involvement to sub-centimetre and then size-significant PLN metastases. In determining PLN involvement, a classification model (DTV + f) had similar accuracies (80%) as the non-subspecialist (76%; p = 0.73) and subspecialist (90%; p = 0.31). However, in identifying patients with sub-centimetre PLN metastasis, the model had higher accuracy (90%) than the non-subspecialist (30%; p = 0.01) but had similar accuracy with the subspecialist (90%, p = 1.00). Interobserver variability in tumour delineation did not significantly affect the performance of the classification model. Conclusion IVIM is useful in determining PLN involvement but the added value decreases with reader experience.

150Works
2Papers
12Collaborators

Positions

2023–

Honorary Clinical Associate Professor

University of Hong Kong · Department of Diagnostic Radiology

2022–

Consultant

Queen Elizabeth Hospital · Department of Radiology and Imaging

2021–

Associate Consultant

Kwong Wah Hospital · Department of Diagnostic and Interventional Radiology

2015–

Clinical Assistant Professor

University of Hong Kong · Diagnostic Radiology

2014–

Consultant

Hull and East Yorkshire Hospitals NHS Trust · Radiology

Education

2006

MBChB

University of Warwick Warwick Medical School · Medicine

2002

BA

University of Cambridge · Biochemistry

Country

HK

Keywords
RadiologyGastrointestinalOncologyHepatobiliaryArtificial IntelligenceInterventional Radiology
Links & IDs
0000-0002-7930-1193

Scopus: 57194015609

Researcher Id: Z-3985-2019