Prospective rAndomized sTudy efficaCy tHree-dimensional rEconstructions Segmentectomy
PATCHES
Prospective Randomized Study on the Efficacy of Three-dimensional Reconstructions of Bronchial and Vascular Structures on Preoperative Chest CT Scan in Patients Who Are Candidates for Pulmonary Segmentectomy Surgery
1 other identifier
interventional
288
0 countries
N/A
Brief Summary
With this project we want to study the effectiveness of 3D reconstruction of preoperative CT to reduce operating times, blood loss and conversions after segmentectomy performed in thoracoscopy / robotics.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable lung-cancer
Started Oct 2023
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 11, 2023
CompletedFirst Posted
Study publicly available on registry
February 8, 2023
CompletedStudy Start
First participant enrolled
October 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedAugust 29, 2023
August 1, 2023
2.4 years
January 11, 2023
August 26, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Conversions from minimally invasive to thoracotomic procedure
Evaluation of conversions from minimally invasive to thoracotomic procedure
Intraoperative
Margin- and disease-free resection
Margin- and disease-free resection
1 Month postoperative
Secondary Outcomes (6)
Operating times
Intraoperative
Intraoperative blood loss
Intraoperative
Intraoperative major bleeding
Intraoperative
Intraoperative air leaks and the use of sealants
Intraoperative
Postoperative air leaks
up to 2 weeks
- +1 more secondary outcomes
Study Arms (2)
2D Reconstruction
ACTIVE COMPARATORBefore minimally invasive lung segmentectomy, preoperative chest CT scans are processed and evaluated with multi-plane (2D) reconstructions, according to the usual center protocol.
2D plus 3D Reconstruction
EXPERIMENTALBefore minimally invasive lung segmentectomy, preoperative chest CT scans are processed and evaluated with volume rendering (3D) reconstructions.
Interventions
Before performing the surgery, patient performs a chest CT scan with contrast medium and standard two-dimensional (2D) reconstructions are performed to study the lesion, the anatomy of the bronchi and the pulmonary venous and arterial vessels.
Before performing the surgery, patient performs a chest CT scan with contrast medium and standard two-dimensional (2D) reconstructions plus a 3D reconstruction are performed to study the lesion, the anatomy of the bronchi and the pulmonary venous and arterial vessels.
Eligibility Criteria
You may qualify if:
- Segmentectomy performed through a minimally invasive approach (VATS or RATS).
- Pathologically proven NSCLC on the resected specimen.
- Age ≥18
- Signed written informed consent
You may not qualify if:
- Prior homolateral cardiothoracic surgery.
- Allergy or any other contraindication to iodinated contrast media.
- Segmentectomy performed through an open approach (thoracotomy)
- Histology different than NSCLC.
- Pregnancy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Ospedale Centrale Bolzanolead
- European Institute of Oncologycollaborator
- Philipps University Marburgcollaborator
- Ernst von Bergmann Hospitalcollaborator
- Chinese University of Hong Kongcollaborator
- Wolfson Medical Centercollaborator
- University of Belgradecollaborator
- Harvard Universitycollaborator
- University of Salamancacollaborator
Related Publications (20)
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
PMID: 33538338BACKGROUNDAllemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Niksic M, Bonaventure A, Valkov M, Johnson CJ, Esteve J, Ogunbiyi OJ, Azevedo E Silva G, Chen WQ, Eser S, Engholm G, Stiller CA, Monnereau A, Woods RR, Visser O, Lim GH, Aitken J, Weir HK, Coleman MP; CONCORD Working Group. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018 Mar 17;391(10125):1023-1075. doi: 10.1016/S0140-6736(17)33326-3. Epub 2018 Jan 31.
PMID: 29395269BACKGROUNDZhao ZR, Situ DR, Lau RWH, Mok TSK, Chen GG, Underwood MJ, Ng CSH. Comparison of Segmentectomy and Lobectomy in Stage IA Adenocarcinomas. J Thorac Oncol. 2017 May;12(5):890-896. doi: 10.1016/j.jtho.2017.01.012. Epub 2017 Jan 20.
PMID: 28111235BACKGROUNDSuzuki K, Saji H, Aokage K, Watanabe SI, Okada M, Mizusawa J, Nakajima R, Tsuboi M, Nakamura S, Nakamura K, Mitsudomi T, Asamura H; West Japan Oncology Group; Japan Clinical Oncology Group. Comparison of pulmonary segmentectomy and lobectomy: Safety results of a randomized trial. J Thorac Cardiovasc Surg. 2019 Sep;158(3):895-907. doi: 10.1016/j.jtcvs.2019.03.090. Epub 2019 Apr 9.
PMID: 31078312BACKGROUNDHung MH, Cheng YJ, Chan KC, Han SC, Chen KC, Hsu HH, Chen JS. Nonintubated uniportal thoracoscopic surgery for peripheral lung nodules. Ann Thorac Surg. 2014 Dec;98(6):1998-2003. doi: 10.1016/j.athoracsur.2014.07.036. Epub 2014 Oct 28.
PMID: 25443006BACKGROUNDWu H, Jin R, Yang S, Park BJ, Li H. Long-term and short-term outcomes of robot- versus video-assisted anatomic lung resection in lung cancer: a systematic review and meta-analysis. Eur J Cardiothorac Surg. 2021 Apr 29;59(4):732-740. doi: 10.1093/ejcts/ezaa426.
PMID: 33367615BACKGROUNDGharagozloo F, Margolis M, Tempesta B, Strother E, Najam F. Robot-assisted lobectomy for early-stage lung cancer: report of 100 consecutive cases. Ann Thorac Surg. 2009 Aug;88(2):380-4. doi: 10.1016/j.athoracsur.2009.04.039.
PMID: 19632377BACKGROUNDNomori H, Mori T, Shiraishi A, Fujino K, Sato Y, Ito T, Suzuki M. Long-Term Prognosis After Segmentectomy for cT1 N0 M0 Non-Small Cell Lung Cancer. Ann Thorac Surg. 2019 May;107(5):1500-1506. doi: 10.1016/j.athoracsur.2018.11.046. Epub 2018 Dec 21.
PMID: 30579848BACKGROUNDStiles BM, Mao J, Harrison S, Lee B, Port JL, Altorki NK, Sedrakyan A. Sublobar resection for node-negative lung cancer 2-5 cm in size. Eur J Cardiothorac Surg. 2019 Nov 1;56(5):858-866. doi: 10.1093/ejcts/ezz146.
PMID: 31168591BACKGROUNDBao F, Ye P, Yang Y, Wang L, Zhang C, Lv X, Hu J. Segmentectomy or lobectomy for early stage lung cancer: a meta-analysis. Eur J Cardiothorac Surg. 2014 Jul;46(1):1-7. doi: 10.1093/ejcts/ezt554. Epub 2013 Dec 8.
PMID: 24321996BACKGROUNDShimizu K, Nagashima T, Ohtaki Y, Obayashi K, Nakazawa S, Kamiyoshihara M, Igai H, Takeyoshi I, Mogi A, Kuwano H. Analysis of the variation pattern in right upper pulmonary veins and establishment of simplified vein models for anatomical segmentectomy. Gen Thorac Cardiovasc Surg. 2016 Oct;64(10):604-11. doi: 10.1007/s11748-016-0686-4. Epub 2016 Jul 19.
PMID: 27435809BACKGROUNDAkiba T. Utility of three-dimensional computed tomography in general thoracic surgery. Gen Thorac Cardiovasc Surg. 2013 Dec;61(12):676-84. doi: 10.1007/s11748-013-0336-z. Epub 2013 Oct 25.
PMID: 24158329BACKGROUNDAkiba T, Marushima H, Harada J, Kobayashi S, Morikawa T. Importance of preoperative imaging with 64-row three-dimensional multidetector computed tomography for safer video-assisted thoracic surgery in lung cancer. Surg Today. 2009;39(10):844-7. doi: 10.1007/s00595-009-3965-1. Epub 2009 Sep 27.
PMID: 19784721BACKGROUNDShe XW, Gu YB, Xu C, Li C, Ding C, Chen J, Zhao J. Three-dimensional (3D)- computed tomography bronchography and angiography combined with 3D-video-assisted thoracic surgery (VATS) versus conventional 2D-VATS anatomic pulmonary segmentectomy for the treatment of non-small cell lung cancer. Thorac Cancer. 2018 Feb;9(2):305-309. doi: 10.1111/1759-7714.12585. Epub 2018 Jan 3.
PMID: 29297974BACKGROUNDXue L, Fan H, Shi W, Ge D, Zhang Y, Wang Q, Yuan Y. Preoperative 3-dimensional computed tomography lung simulation before video-assisted thoracoscopic anatomic segmentectomy for ground glass opacity in lung. J Thorac Dis. 2018 Dec;10(12):6598-6605. doi: 10.21037/jtd.2018.10.126.
PMID: 30746205BACKGROUNDLiu X, Zhao Y, Xuan Y, Lan X, Zhao J, Lan X, Han B, Jiao W. Three-dimensional printing in the preoperative planning of thoracoscopic pulmonary segmentectomy. Transl Lung Cancer Res. 2019 Dec;8(6):929-937. doi: 10.21037/tlcr.2019.11.27.
PMID: 32010571BACKGROUNDQiu B, Ji Y, He H, Zhao J, Xue Q, Gao S. Three-dimensional reconstruction/personalized three-dimensional printed model for thoracoscopic anatomical partial-lobectomy in stage I lung cancer: a retrospective study. Transl Lung Cancer Res. 2020 Aug;9(4):1235-1246. doi: 10.21037/tlcr-20-571.
PMID: 32953501BACKGROUNDWu Z, Huang Z, Qin Y, Jiao W. Progress in three-dimensional computed tomography reconstruction in anatomic pulmonary segmentectomy. Thorac Cancer. 2022 Jul;13(13):1881-1887. doi: 10.1111/1759-7714.14443. Epub 2022 May 18.
PMID: 35585765BACKGROUNDOizumi H, Kanauchi N, Kato H, Endoh M, Suzuki J, Fukaya K, Sadahiro M. Anatomic thoracoscopic pulmonary segmentectomy under 3-dimensional multidetector computed tomography simulation: a report of 52 consecutive cases. J Thorac Cardiovasc Surg. 2011 Mar;141(3):678-82. doi: 10.1016/j.jtcvs.2010.08.027. Epub 2010 Sep 29.
PMID: 20884021BACKGROUNDZaraca F, Kirschbaum A, Pipitone MD, Bertolaccini L; PATCHES study group. Prospective randomized study on the efficacy of three-dimensional reconstructions of bronchovascular structures on preoperative chest CT scan in patients who are candidates for pulmonary segmentectomy surgery: the PATCHES (Prospective rAndomized sTudy efficaCy of tHree-dimensional rEconstructions Segmentecomy) study protocol. Trials. 2023 Sep 16;24(1):594. doi: 10.1186/s13063-023-07600-w.
PMID: 37717001DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
ZARACA FRANCESCO
Central Hospital Bolzano
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD PhD Privat Dozent
Study Record Dates
First Submitted
January 11, 2023
First Posted
February 8, 2023
Study Start
October 1, 2023
Primary Completion
March 1, 2026
Study Completion
May 1, 2026
Last Updated
August 29, 2023
Record last verified: 2023-08
Data Sharing
- IPD Sharing
- Will not share