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Computed tomography-based vascular burden index as a predictor of vascular resection and pathological vascular invasion in pancreatic cancer with neo-adjuvant chemotherapy.
Lee, Woohyung; Park, Hyo Jung; Lee, Yoo Na; Sung, Min Kyu; Hong, Kwangpyo; Park, Yejong; Song, Ki Byung; Lee, Jae Hoon; Hwang, Dae Wook; Kim, Hyoung Jung; Hong, Seung-Mo; Kim, Song Cheol.
Afiliação
  • Lee W; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Park HJ; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee YN; Department of Surgery, Haeundae Paik Hospital, Inje University, Busan, Republic of Korea.
  • Sung MK; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Hong K; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Park Y; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Song KB; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Lee JH; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Hwang DW; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Kim HJ; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Hong SM; Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Kim SC; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Brain Korea 21 Project, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. Electronic address: drksc@amc.seoul.kr.
Eur J Surg Oncol ; 50(9): 108494, 2024 Jun 20.
Article em En | MEDLINE | ID: mdl-38968855
ABSTRACT

BACKGROUND:

Determination of vessel resection in patients with pancreatectomy after neo-adjuvant chemotherapy remains controversial. The recently introduced computed tomography-based vascular burden index presents a potential solution to this challenge. This study aimed to evaluate the model performance for the prediction of vascular resection and pathological invasion.

METHODS:

Patients who underwent surgery after neo-adjuvant chemotherapy were included. Two independent reviewers measured the vascular tumour burden index around the adjacent artery (AVBI), and vein (VVBI). The area under the curve was compared to assess the predictive capacity of vascular burden index values and their changes for vascular resection and pathological vascular invasion.

RESULTS:

Among 252 patients, 179 and 73 had borderline resectable and locally advanced pancreatic cancer, respectively. Concurrent vessel resection and pathological vascular invasion were observed in 121 (48.0 %) and 42 (16.6 %) patients, respectively. In all patients, the VVBI (area under the curve 0.872) and AVBI (0.911) after neo-adjuvant therapy significantly predicted vessel resection. In patients with vascular resection, the VVBI after neo-adjuvant chemotherapy (0.752) and delta value of the AVBI (0.706) demonstrated better performance for predicting pathological invasion of the resected vein. The regression of the AVBI and VVBI was an independent prognostic factor for survival (hazard ratio 0.54, 95 % confidence interval 0.34-0.85; P = 0.009)

CONCLUSIONS:

Regressed VVBI on serial computed tomography scans is useful for predicting vein resection and pathological venous invasion before surgery. The delta value of the AVBI may therefore be helpful for predicting pathological arterial invasion after neo-adjuvant chemotherapy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Eur J Surg Oncol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Eur J Surg Oncol Ano de publicação: 2024 Tipo de documento: Article