Kosin Medical Journal

Ja Yoon Ku

2 Articles

Preliminary data on computed tomography-based radiomics for predicting programmed death ligand 1 expression in urothelial carcinoma: Chang Mu Lee, Seung Baek Hong, Nam Kyung Lee, Hong Koo Ha, Kyung Hwan Kim, Byeong Jin Kang, Suk Kim, Ja Yoon Ku; Kosin Med J. 2024;39(3):186-194. Published online July 18, 2024; DOI: https://doi.org/10.7180/kmj.24.103

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Abstract PDF Supplementary Material PubReader ePub: Background
Programmed death ligand 1 (PD-L1) expression cannot currently be predicted through radiological findings. This study aimed to develop a prediction model capable of differentiating between positive and negative PD-L1 expression through a radiomics-based investigation of computed tomography (CT) images in patients with urothelial carcinoma.
Methods
Sixty-four patients with urothelial carcinoma who underwent immunohistochemical testing for PD-L1 were retrospectively reviewed. The number of patients in the positive and negative PD-L1 groups (PD-L1 expression >5%) was 14 and 50, respectively. CT images obtained 90 seconds after contrast medium administration were selected for radiomic extraction. For all tumors, 1,691 radiomic features were extracted from CT using a manually segmented three-dimensional volume of interest. Univariate and multivariate logistic regression analyses were performed to identify radiomic features that were significant predictors of PD-L1 expression. For the radiomics-based model, a receiver operating characteristic (ROC) analysis was performed.
Results
Among 64 patients, 14 were included in the PD-L1 positive group. Logistic regression analysis found that the following radiomic features significantly predicted PD-L1 expression: wavelet-low-pass, low-pass, and high-pass filters (LLH)_gray-level size-zone matrix (GLSZM)_SmallAreaEmphasis, wavelet-LLH_firstorder_Energy, log-sigma-0-5-mm-3D_GLSZM_SmallAreaHighGrayLevelEmphasis, original_shape_Maximum2DDiameterColumn, wavelet-low-pass, low-pass, and low-pass filters (LLL)_gray-level run-length matrix (GLRLM)_ShortRunEmphasis, and exponential_firstorder_Kurtosis. The radiomics signature was –4.0934+21.6224 (wavelet-LLH_GLSZM_SmallAreaEmphasis)+0.0044 (wavelet-LLH_firstorder_Energy)–4.7389 (log-sigma-0-5-mm-3D_GLSZM_SmallAreaHighGrayLevelEmphasis)+0.0573 (original_shape_Maximum2DDiameterColumn)–29.5892 (wavelet-LLL_GLRLM_ShortRunEmphasis)–0.4324 (exponential_firstorder_Kurtosis). The area under the ROC curve model representing the radiomics signature for differentiating cases that were deemed PD-L1 positive based on immunohistochemistry was 0.96.
Conclusions
This preliminary radiomics model derived from contrast-enhanced CT predicted PD-L1 positivity in patients with urothelial cancer.

Cribriform Pattern at the Surgical Margin is Highly Predictive of Biochemical Recurrence in Patients Undergoing Radical Prostatectomy: Kyung Hwan Kim, Ja Yoon Ku, Chan Ho Lee, Won Young Park, Hong Koo Ha; Kosin Med J. 2019;34(2):95-105. Published online December 31, 2019; DOI: https://doi.org/10.7180/kmj.2019.34.2.95

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Abstract PDF PubReader ePub

Objectives

We investigated the relationship between cribriform patterns and biochemical recurrence in patients with positive surgical margins after radical prostatectomy.

Methods

This study was based on radical prostatectomy specimens obtained from 817 patients (165 with margin-positive status) collected at a single center between 2010 and 2016. We retrospectively analyzed and compared body mass index, preoperative prostate-specific antigen, Gleason score, operative methods, postoperative Gleason score, pathological T-stage, tumor percentage involvement, lymphatic and perineural invasion, prostate-specific antigen nadir, location and length of the positive margin, cribriform pattern status, and Gleason grade at the surgical margin in terms of their association with biochemical recurrence. Risk factors for biochemical recurrence were also investigated.

Results

21% (31/146) of surgical margin-positive patients had a cribriform pattern. Nadir prostate-specific antigen, perineural invasion and biochemical recurrence rates were significantly higher in cribriform pattern present group than absent group (P = 0.031, 0.043 and 0.045, respectively). According to the Cox regression model, postoperative Gleason score, tumor percentage involvement, location and length of the positive margin, and the presence of a cribriform pattern at the surgical margin were significant predictive factors of biochemical recurrence (P = 0.022, < 0.001, 0.015, 0.001, and 0.022, respectively). Moreover, the biochemical recurrence risk was approximately 3-fold higher in patients with a cribriform pattern at the surgical margin than in those without (HR: 3.41, 95% CI 1.20-9.70, P = 0.022).

Conclusions

A cribriform pattern at the surgical margin is a significant predictor of biochemical recurrence in patients who undergo radical prostatectomy.

Citations

Citations to this article as recorded by

Length of positive surgical margins after radical prostatectomy: Does size matter? – A systematic review and meta-analysis
Athul John, Alicia Lim, Rick Catterwell, Luke Selth, Michael O’Callaghan
Prostate Cancer and Prostatic Diseases.2023; 26(4): 673. CrossRef

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