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Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients

Standard

Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients. / Kamecki, Hubert; Mielczarek, Łukasz; Szempliński, Stanisław; Dębowska, Małgorzata; Rajwa, Paweł; Baboudjian, Michael; Klemm, Jakob; Rivas, Juan Gómez; Modzelewska, Elza; Tayara, Omar; Malewski, Wojciech; Szostek, Przemysław; Poletajew, Sławomir; Kryst, Piotr; Sosnowski, Roman; Nyk, Łukasz.

In: CANCERS, Vol. 15, No. 22, 5462, 17.11.2023.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Kamecki, H, Mielczarek, Ł, Szempliński, S, Dębowska, M, Rajwa, P, Baboudjian, M, Klemm, J, Rivas, JG, Modzelewska, E, Tayara, O, Malewski, W, Szostek, P, Poletajew, S, Kryst, P, Sosnowski, R & Nyk, Ł 2023, 'Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients', CANCERS, vol. 15, no. 22, 5462. https://doi.org/10.3390/cancers15225462

APA

Kamecki, H., Mielczarek, Ł., Szempliński, S., Dębowska, M., Rajwa, P., Baboudjian, M., Klemm, J., Rivas, J. G., Modzelewska, E., Tayara, O., Malewski, W., Szostek, P., Poletajew, S., Kryst, P., Sosnowski, R., & Nyk, Ł. (2023). Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients. CANCERS, 15(22), [5462]. https://doi.org/10.3390/cancers15225462

Vancouver

Kamecki H, Mielczarek Ł, Szempliński S, Dębowska M, Rajwa P, Baboudjian M et al. Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients. CANCERS. 2023 Nov 17;15(22). 5462. https://doi.org/10.3390/cancers15225462

Bibtex

@article{6637eb5d6bfb42fba89aaa742faefd3c,
title = "Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients",
abstract = "BACKGROUND: Data on Gleason pattern 4 (GP4) amount in biopsy tissue is important for prostate cancer (PC) risk assessment. We aim to investigate which GP4 quantification method predicts adverse pathology (AP) at radical prostatectomy (RP) the best in men diagnosed with intermediate-risk (IR) PC at magnetic resonance imaging (MRI)-guided biopsy.METHODS: We retrospectively included 123 patients diagnosed with IR PC (prostate-specific antigen <20 ng/mL, grade group (GG) 2 or 3, no iT3 on MRI) at MRI-guided biopsy, who underwent RP. Twelve GP4 amount-related parameters were developed, based on GP4 quantification method (absolute, relative to core, or cancer length) and site (overall, targeted, systematic biopsy, or worst specimen). Additionally, we calculated PV×GP4 (prostate volume × GP4 relative to core length in overall biopsy), aiming to represent the total GP4 volume in the prostate. The associations of GP4 with AP (GG ≥ 4, ≥pT3a, or pN1) were investigated.RESULTS: AP was reported in 39 (31.7%) of patients. GP4 relative to cancer length was not associated with AP. Of the 12 parameters, the highest ROC AUC value was seen for GP4 relative to core length in overall biopsy (0.65). an even higher AUC value was noted for PV × GP4 (0.67), with a negative predictive value of 82.8% at the optimal threshold.CONCLUSIONS: The lack of an association of GP4 relative to cancer length with AP, contrasted with the better performance of other parameters, indicates directions for future research on PC risk stratification to accurately identify patients who may not require immediate treatment. Incorporating formulas aimed at GP4 volume assessment may lead to obtaining models with the best discrimination ability.",
author = "Hubert Kamecki and {\L}ukasz Mielczarek and Stanis{\l}aw Szempli{\'n}ski and Ma{\l}gorzata D{\c e}bowska and Pawe{\l} Rajwa and Michael Baboudjian and Jakob Klemm and Rivas, {Juan G{\'o}mez} and Elza Modzelewska and Omar Tayara and Wojciech Malewski and Przemys{\l}aw Szostek and S{\l}awomir Poletajew and Piotr Kryst and Roman Sosnowski and {\L}ukasz Nyk",
year = "2023",
month = nov,
day = "17",
doi = "10.3390/cancers15225462",
language = "English",
volume = "15",
journal = "CANCERS",
issn = "2072-6694",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "22",

}

RIS

TY - JOUR

T1 - Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients

AU - Kamecki, Hubert

AU - Mielczarek, Łukasz

AU - Szempliński, Stanisław

AU - Dębowska, Małgorzata

AU - Rajwa, Paweł

AU - Baboudjian, Michael

AU - Klemm, Jakob

AU - Rivas, Juan Gómez

AU - Modzelewska, Elza

AU - Tayara, Omar

AU - Malewski, Wojciech

AU - Szostek, Przemysław

AU - Poletajew, Sławomir

AU - Kryst, Piotr

AU - Sosnowski, Roman

AU - Nyk, Łukasz

PY - 2023/11/17

Y1 - 2023/11/17

N2 - BACKGROUND: Data on Gleason pattern 4 (GP4) amount in biopsy tissue is important for prostate cancer (PC) risk assessment. We aim to investigate which GP4 quantification method predicts adverse pathology (AP) at radical prostatectomy (RP) the best in men diagnosed with intermediate-risk (IR) PC at magnetic resonance imaging (MRI)-guided biopsy.METHODS: We retrospectively included 123 patients diagnosed with IR PC (prostate-specific antigen <20 ng/mL, grade group (GG) 2 or 3, no iT3 on MRI) at MRI-guided biopsy, who underwent RP. Twelve GP4 amount-related parameters were developed, based on GP4 quantification method (absolute, relative to core, or cancer length) and site (overall, targeted, systematic biopsy, or worst specimen). Additionally, we calculated PV×GP4 (prostate volume × GP4 relative to core length in overall biopsy), aiming to represent the total GP4 volume in the prostate. The associations of GP4 with AP (GG ≥ 4, ≥pT3a, or pN1) were investigated.RESULTS: AP was reported in 39 (31.7%) of patients. GP4 relative to cancer length was not associated with AP. Of the 12 parameters, the highest ROC AUC value was seen for GP4 relative to core length in overall biopsy (0.65). an even higher AUC value was noted for PV × GP4 (0.67), with a negative predictive value of 82.8% at the optimal threshold.CONCLUSIONS: The lack of an association of GP4 relative to cancer length with AP, contrasted with the better performance of other parameters, indicates directions for future research on PC risk stratification to accurately identify patients who may not require immediate treatment. Incorporating formulas aimed at GP4 volume assessment may lead to obtaining models with the best discrimination ability.

AB - BACKGROUND: Data on Gleason pattern 4 (GP4) amount in biopsy tissue is important for prostate cancer (PC) risk assessment. We aim to investigate which GP4 quantification method predicts adverse pathology (AP) at radical prostatectomy (RP) the best in men diagnosed with intermediate-risk (IR) PC at magnetic resonance imaging (MRI)-guided biopsy.METHODS: We retrospectively included 123 patients diagnosed with IR PC (prostate-specific antigen <20 ng/mL, grade group (GG) 2 or 3, no iT3 on MRI) at MRI-guided biopsy, who underwent RP. Twelve GP4 amount-related parameters were developed, based on GP4 quantification method (absolute, relative to core, or cancer length) and site (overall, targeted, systematic biopsy, or worst specimen). Additionally, we calculated PV×GP4 (prostate volume × GP4 relative to core length in overall biopsy), aiming to represent the total GP4 volume in the prostate. The associations of GP4 with AP (GG ≥ 4, ≥pT3a, or pN1) were investigated.RESULTS: AP was reported in 39 (31.7%) of patients. GP4 relative to cancer length was not associated with AP. Of the 12 parameters, the highest ROC AUC value was seen for GP4 relative to core length in overall biopsy (0.65). an even higher AUC value was noted for PV × GP4 (0.67), with a negative predictive value of 82.8% at the optimal threshold.CONCLUSIONS: The lack of an association of GP4 relative to cancer length with AP, contrasted with the better performance of other parameters, indicates directions for future research on PC risk stratification to accurately identify patients who may not require immediate treatment. Incorporating formulas aimed at GP4 volume assessment may lead to obtaining models with the best discrimination ability.

U2 - 10.3390/cancers15225462

DO - 10.3390/cancers15225462

M3 - SCORING: Journal article

C2 - 38001723

VL - 15

JO - CANCERS

JF - CANCERS

SN - 2072-6694

IS - 22

M1 - 5462

ER -