Literature DB >> 22202284

Evaluation of preoperative computed tomography in estimating peritoneal cancer index in peritoneal carcinomatosis.

Lu Chang-Yun1, Yutaka Yonemura, Haruaki Ishibashi, Shouzou Sako, Goro Tsukiyama, Toshiyuki Kitai, Nobuo Matsuki.   

Abstract

PURPOSE: To evaluate the utility of CT of peritoneal carcinomatosis (PC) by comparing preoperative radiological and intraoperative peritoneal cancer index (PCI) scores. MATERIAL AND
METHOD: This study collected 76 patients of PC from different disease origins. The sensitivity, specificity and accuracy were calculated in each of the abdominopelvic region, and by tumor histologic type. RESULT: An overall sensitivity of CT was 69%. The detection rate was highest in appendix and lowest in stomach group( 84% and 47%, respectively) by the origin of primary disease. There was a lower detection rate (59% vs 79%, p=0.001), and a higher underestimation rate (29% vs 21%, p<0.05) of small bowel lesion compared with overall abdomino-pelvic region. CT predicted an individual regional PCI score accurately in 65%, underestimated in 24%, and overestimated in 11%. CT detection rate in small tumor (<0.5 cm) was 29%, and increased to 97% with nodules size exceeding 5 cm. CT significantly underestimated the clinical PCI value in overall.
CONCLUSION: The sensitivity of CT in detecting PC was influenced by histologic type, tumor location and size. CT underestimated the clinical PCI score in PC patient.

Entities:  

Mesh:

Year:  2011        PMID: 22202284

Source DB:  PubMed          Journal:  Gan To Kagaku Ryoho        ISSN: 0385-0684


  5 in total

Review 1.  Diagnostic performance of computed tomography and magnetic resonance imaging for detecting peritoneal metastases: systematic review and meta-analysis.

Authors:  Andrea Laghi; Davide Bellini; Marco Rengo; Fabio Accarpio; Damiano Caruso; Daniele Biacchi; Angelo Di Giorgio; Paolo Sammartino
Journal:  Radiol Med       Date:  2016-09-19       Impact factor: 3.469

2.  Development and validation of a meta-learning-based multi-modal deep learning algorithm for detection of peritoneal metastasis.

Authors:  Hangyu Zhang; Xudong Zhu; Bin Li; Xiaomeng Dai; Xuanwen Bao; Qihan Fu; Zhou Tong; Lulu Liu; Yi Zheng; Peng Zhao; Luan Ye; Zhihong Chen; Weijia Fang; Lingxiang Ruan; Xinyu Jin
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-07-22       Impact factor: 3.421

3.  Preoperative Assessment of Cancer Patients with Peritoneal Metastases for Complete Cytoreduction.

Authors:  Paul H Sugarbaker
Journal:  Indian J Surg Oncol       Date:  2016-03-11

4.  Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Pseudomyxoma Peritonei and Appendix Tumours.

Authors:  Joshua Lansom; Nayef Alzahrani; Winston Liauw; David L Morris
Journal:  Indian J Surg Oncol       Date:  2015-10-24

5.  P.R.O.P.S. - A novel Pre-Operative Predictive Score for unresectability in patients with colorectal peritoneal metastases being considered for cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC).

Authors:  Zachary Zihui Yong; Grace Hwei Ching Tan; Nicholas Shannon; Claramae Chia; Melissa Ching Ching Teo
Journal:  World J Surg Oncol       Date:  2019-08-07       Impact factor: 2.754

  5 in total

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