Optimizing colon identification by window setting modulation on non-contrast computerized tomography prior to percutaneous nephrolithotomy.


Journal

Journal of endourology
ISSN: 1557-900X
Titre abrégé: J Endourol
Pays: United States
ID NLM: 8807503

Informations de publication

Date de publication:
26 Jun 2024
Historique:
medline: 26 6 2024
pubmed: 26 6 2024
entrez: 26 6 2024
Statut: aheadofprint

Résumé

Preoperative identification of the bowel on imaging is essential in planning renal access during percutaneous nephrolithotomy (PCNL) and avoiding colonic injury. We aimed this study to assess which non-contrast computed tomography (NCCT) window setting provides the optimal colonic identification for PCNL preoperative planning. Ten urologic surgeons (4 seniors, 6 residents) reviewed 22 images of NCCT scans in both abdomen and lung window settings in a randomized blinded order. Colonic area delineation in each image was performed using a dedicated commercially available area calculator software. Comparison of the marked colonic area between the abdomen and lung window settings was performed. Overall, the mean marked colonic area was greater in the lung window compared to abdomen window (8.82 cm2 vs 7.4 cm2, respectively, p < 0.001). Switching the CT-window from abdomen to lung increased the identified colonic area in 50 cases (50%). Intraclass correlation showed good agreement between the senior readers and among all readers (0.92 and 0.87, respectively). Similar measurements of the colonic area in both abdomen and lung windows were observed in 26/44 (60%) of the seniors cases and in 7/66 (10%) of the residents cases (p=0.002). Lung window solely or in combination with abdomen window appears to provide the most accurate colonic identification for pre-operative planning of PCNL access, and potentially reduce the risk of colonic injury. This pattern is more evident among young urologists, and we propose to introduce it as a standard sequence in PCNL pre-planning.

Sections du résumé

BACKGROUND BACKGROUND
Preoperative identification of the bowel on imaging is essential in planning renal access during percutaneous nephrolithotomy (PCNL) and avoiding colonic injury. We aimed this study to assess which non-contrast computed tomography (NCCT) window setting provides the optimal colonic identification for PCNL preoperative planning.
METHODS METHODS
Ten urologic surgeons (4 seniors, 6 residents) reviewed 22 images of NCCT scans in both abdomen and lung window settings in a randomized blinded order. Colonic area delineation in each image was performed using a dedicated commercially available area calculator software. Comparison of the marked colonic area between the abdomen and lung window settings was performed.
RESULTS RESULTS
Overall, the mean marked colonic area was greater in the lung window compared to abdomen window (8.82 cm2 vs 7.4 cm2, respectively, p < 0.001). Switching the CT-window from abdomen to lung increased the identified colonic area in 50 cases (50%). Intraclass correlation showed good agreement between the senior readers and among all readers (0.92 and 0.87, respectively). Similar measurements of the colonic area in both abdomen and lung windows were observed in 26/44 (60%) of the seniors cases and in 7/66 (10%) of the residents cases (p=0.002).
CONCLUSION CONCLUSIONS
Lung window solely or in combination with abdomen window appears to provide the most accurate colonic identification for pre-operative planning of PCNL access, and potentially reduce the risk of colonic injury. This pattern is more evident among young urologists, and we propose to introduce it as a standard sequence in PCNL pre-planning.

Identifiants

pubmed: 38919126
doi: 10.1089/end.2024.0254
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Snir Dekalo (S)

Tel-Aviv Sourasky Medical Center, Urology, Tel-Aviv, Israel; snirdekalo@gmail.com.

Ziv Savin (Z)

Tel-Aviv Sourasky Medical Center, Urology, Tel Aviv, Israel.
Tel Aviv Sourasky Medical Center, Endourology, Tel Aviv, Tel Aviv, Israel; zivsavin23@gmail.com.

Noam Bar-Yaakov (N)

Tel-Aviv Sourasky Medical Center, Urology, Tel-Aviv, Israel; noambary@gmail.com.

Haim Herzberg (H)

Tel-Aviv Sourasky Medical Center, Urology, Tel Aviv, Israel; haimherzberg@gmail.com.

Yuval Bar-Yosef (Y)

Tel-Aviv Sourasky Medical Center, Urology, Tel-Aviv, Israel; yuvalby@tlvmc.gov.il.

Galit Aviram (G)

Tel-Aviv Sourasky Medical Center, Radiology, Tel-Aviv, Israel; galita@tlvmc.gov.il.

Ofer Yossepowitch (O)

Tel-Aviv Sourasky Medical Center, Urology, Tel-Aviv, Israel; ofery@tlvmc.gov.il.

Mario Sofer (M)

Tel Aviv Sourasky Medical Center, Urology, Tel Aviv, Israel.
Tel Aviv University Sackler Faculty of Medicine, Surgery, Tel Aviv, Israel.
Tel Aviv Sourasky Medical Center, Endourology, Tel Aviv, Tel Aviv, Israel; mariosofer@hotmail.com.

Classifications MeSH