Investigator

Hao-Wen Sim

Consultant Medical Oncologist (Visiting Medical Officer) · Chris O’Brien Lifehouse

HSHao-Wen Sim
Papers(1)
Interobserver and int…
Collaborators(1)
Catherine Mandel
Institutions(2)
Unsw SydneySwinburne University …

Papers

Interobserver and intraobserver variability of RECIST assessment in ovarian cancer

Measurement of Response Evaluation Criteria In Solid Tumors (RECIST) relies on reproducible unidimensional tumor measurements. This study assessed intraobserver and interobserver variability of target lesion selection and measurement, according to RECIST version 1.1 in patients with ovarian cancer. Eight international radiologists independently viewed 47 images demonstrating malignant lesions in patients with ovarian cancer and selected and measured lesions according to RECIST V.1.1 criteria. Thirteen images were viewed twice. Interobserver variability of selection and measurement were calculated for all images. Intraobserver variability of selection and measurement were calculated for images viewed twice. Lesions were classified according to their anatomical site as pulmonary, hepatic, pelvic mass, peritoneal, lymph nodal, or other. Lesion selection variability was assessed by calculating the reproducibility rate. Lesion measurement variability was assessed with the intra-class correlation coefficient. From 47 images, 82 distinct lesions were identified. For lesion selection, the interobserver and intraobserver reproducibility rates were high, at 0.91 and 0.93, respectively. Interobserver selection reproducibility was highest (reproducibility rate 1) for pelvic mass and other lesions. Intraobserver selection reproducibility was highest (reproducibility rate 1) for pelvic mass, hepatic, nodal, and other lesions. Selection reproducibility was lowest for peritoneal lesions (interobserver reproducibility rate 0.76 and intraobserver reproducibility rate 0.69). For lesion measurement, the overall interobserver and intraobserver intraclass correlation coefficients showed very good concordance of 0.84 and 0.94, respectively. Interobserver intraclass correlation coefficient showed very good concordance for hepatic, pulmonary, peritoneal, and other lesions, and ranged from 0.84 to 0.97, but only moderate concordance for lymph node lesions (0.58). Intraobserver intraclass correlation coefficient showed very good concordance for all lesions, ranging from 0.82 to 0.99. In total, 85% of total measurement variability resulted from interobserver measurement difference. Our study showed that while selection and measurement concordance were high, there was significant interobserver and intraobserver variability. Most resulted from interobserver variability. Compared with other lesions, peritoneal lesions had the lowest selection reproducibility, and lymph node lesions had the lowest measurement concordance. These factors need consideration to improve response assessment, especially as progression free survival remains the most common endpoint in phase III trials.

48Works
1Papers
1Collaborators

Positions

2018–

Consultant Medical Oncologist (Visiting Medical Officer)

Chris O’Brien Lifehouse

2018–

Consultant Medical Oncologist (Staff Specialist)

The Kinghorn Cancer Centre

2018–

Consultant Medical Oncologist (Honorary Visiting Medical Officer)

Royal Prince Alfred Hospital

2018–

Clinical Lead and Group Coordinator for COGNO

NHMRC Clinical Trials Centre

2015–

Clinical Fellow (neuro-oncology and gastrointestinal oncology)

Princess Margaret Hospital Cancer Centre

2014–

Advanced Physician Training (medical oncology)

Peter MacCallum Cancer Centre

2013–

Advanced Physician Training (medical oncology)

Monash Health

2012–

Advanced Physician Training (medical oncology)

Barwon Health

2008–

Internship and Basic Physician Training

St Vincent's Hospital

Education

2020

Master of Biostatistics

The University of Sydney

2018

Clinical Fellowship in Medical Oncology (neuro-oncology and gastrointestinal oncology)

University of Toronto

2015

Fellow of the Royal Australasian College of Physicians, Adult Medicine Division

Royal Australasian College of Physicians

2007

Bachelor of Medicine and Bachelor of Surgery (with Honours) and Bachelor of Medical Science

University of Melbourne

Links & IDs
0000-0002-2530-0523

Researcher Id: M-6570-2019