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Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management
BACKGROUND: A giant thoracic neoplasm is extremely rare and poorly understood. Our systemic study introduced computed tomography angiography (CTA) with three‐dimensional (3D) reconstruction imaging and evaluated correlations between imaging, pathology, and surgical management. METHODS: Data from 45...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582482/ https://www.ncbi.nlm.nih.gov/pubmed/28608450 http://dx.doi.org/10.1111/1759-7714.12448 |
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author | Feng, Zhen Li, Meng Liu, Fang Peng, Yue Ren, Wangang Xie, Hounai Peng, Zhongmin |
author_facet | Feng, Zhen Li, Meng Liu, Fang Peng, Yue Ren, Wangang Xie, Hounai Peng, Zhongmin |
author_sort | Feng, Zhen |
collection | PubMed |
description | BACKGROUND: A giant thoracic neoplasm is extremely rare and poorly understood. Our systemic study introduced computed tomography angiography (CTA) with three‐dimensional (3D) reconstruction imaging and evaluated correlations between imaging, pathology, and surgical management. METHODS: Data from 45 patients undergoing surgery for giant thoracic neoplasm in our institution between May 2007 and November 2015 were collected. The clinical characteristics, imaging manifestations, preoperative biopsy, surgical management, postoperative pathology, and prognosis and their correlation were analyzed. RESULTS: The clinical characteristics, imaging manifestations, and pathological types were complicated. Four patients underwent CTA with 3D reconstruction imaging and feeding vessels were found in three cases. Twenty‐four selected patients accepted preoperative biopsy, eight of which were inconsistent with postoperative pathology. Complete resection was performed in 39 cases, 20 of which underwent extended excision. The median survival duration of all patients was 58 months (range 3.0–118.0). The one, three, and five‐year survival rates were 86.0%, 64.4%, and 47.0%, respectively. Univariate analyses showed tumor size and resection status were prognostic factors for survival (P = 0.003 and P < 0.001, respectively). CONCLUSIONS: A giant thoracic neoplasm should preferably be treated in experienced centers for precise diagnosis and optimal therapy schemes with comprehensive consideration of clinical characters, imaging manifestations, pathology, surgical management, and prognosis. Innovative CTA with 3D reconstruction imaging together with preoperative biopsy are feasible and effective in therapeutic decision‐making and surgical planning. Complete surgical resection remains the mainstay of curative therapy for all resectable tumors. |
format | Online Article Text |
id | pubmed-5582482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-55824822017-09-06 Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management Feng, Zhen Li, Meng Liu, Fang Peng, Yue Ren, Wangang Xie, Hounai Peng, Zhongmin Thorac Cancer Original Articles BACKGROUND: A giant thoracic neoplasm is extremely rare and poorly understood. Our systemic study introduced computed tomography angiography (CTA) with three‐dimensional (3D) reconstruction imaging and evaluated correlations between imaging, pathology, and surgical management. METHODS: Data from 45 patients undergoing surgery for giant thoracic neoplasm in our institution between May 2007 and November 2015 were collected. The clinical characteristics, imaging manifestations, preoperative biopsy, surgical management, postoperative pathology, and prognosis and their correlation were analyzed. RESULTS: The clinical characteristics, imaging manifestations, and pathological types were complicated. Four patients underwent CTA with 3D reconstruction imaging and feeding vessels were found in three cases. Twenty‐four selected patients accepted preoperative biopsy, eight of which were inconsistent with postoperative pathology. Complete resection was performed in 39 cases, 20 of which underwent extended excision. The median survival duration of all patients was 58 months (range 3.0–118.0). The one, three, and five‐year survival rates were 86.0%, 64.4%, and 47.0%, respectively. Univariate analyses showed tumor size and resection status were prognostic factors for survival (P = 0.003 and P < 0.001, respectively). CONCLUSIONS: A giant thoracic neoplasm should preferably be treated in experienced centers for precise diagnosis and optimal therapy schemes with comprehensive consideration of clinical characters, imaging manifestations, pathology, surgical management, and prognosis. Innovative CTA with 3D reconstruction imaging together with preoperative biopsy are feasible and effective in therapeutic decision‐making and surgical planning. Complete surgical resection remains the mainstay of curative therapy for all resectable tumors. John Wiley & Sons Australia, Ltd 2017-06-13 2017-09 /pmc/articles/PMC5582482/ /pubmed/28608450 http://dx.doi.org/10.1111/1759-7714.12448 Text en © 2017 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Feng, Zhen Li, Meng Liu, Fang Peng, Yue Ren, Wangang Xie, Hounai Peng, Zhongmin Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management |
title | Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management |
title_full | Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management |
title_fullStr | Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management |
title_full_unstemmed | Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management |
title_short | Analysis of giant thoracic neoplasms: Correlations between imaging, pathology and surgical management |
title_sort | analysis of giant thoracic neoplasms: correlations between imaging, pathology and surgical management |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582482/ https://www.ncbi.nlm.nih.gov/pubmed/28608450 http://dx.doi.org/10.1111/1759-7714.12448 |
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