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Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data

The accurate diagnosis of soft tissue tumors may be difficult. Simple clinical characteristics or laboratory data that can predict tumor malignancy can be useful tools for diagnosing soft tissue tumors. Between 2003 and 2018, 588 patients with primary soft tissue tumors were retrospectively reviewed...

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Autores principales: Fujibuchi, Taketsugu, Miyawaki, Joji, Kidani, Teruki, Imai, Hiroshi, Miura, Hiromasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140089/
https://www.ncbi.nlm.nih.gov/pubmed/32183216
http://dx.doi.org/10.3390/cancers12030679
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author Fujibuchi, Taketsugu
Miyawaki, Joji
Kidani, Teruki
Imai, Hiroshi
Miura, Hiromasa
author_facet Fujibuchi, Taketsugu
Miyawaki, Joji
Kidani, Teruki
Imai, Hiroshi
Miura, Hiromasa
author_sort Fujibuchi, Taketsugu
collection PubMed
description The accurate diagnosis of soft tissue tumors may be difficult. Simple clinical characteristics or laboratory data that can predict tumor malignancy can be useful tools for diagnosing soft tissue tumors. Between 2003 and 2018, 588 patients with primary soft tissue tumors were retrospectively reviewed. Their clinical characteristics and laboratory data were evaluated to determine their association with the diagnosis of benign, intermediate, or malignant tumor. Multivariable analysis revealed that tumor size ≥ 5.6 cm (odds ratio (OR), 6.15; p < 0.001), white blood cell (WBC) count ≥ 5700/µL (OR, 2.49; p = 0.002), hemoglobin (Hb) count ≤ 12.4 g/dL (OR, 2.56; p = 0.004), C-reactive protein (CRP) level ≥ 0.17 mg/dL (OR, 2.64; p < 0.001), and lactate dehydrogenase (LDH) level ≥ 240 IU/L (OR, 4.94; p < 0.001) were significant predictive factors for sarcoma. The sensitivity and specificity in the presence of three or more predictive factors for detecting malignant tumors were 0.58 and 0.90 respectively, and it was an appropriate threshold with the maximum Youden’s index of 0.49. Simple clinical and laboratory data were useful tools for predicting whether the tumor is malignant. Patients with soft tissue tumors that meet any three or more predictive factors should be referred to a specialist.
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spelling pubmed-71400892020-04-13 Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data Fujibuchi, Taketsugu Miyawaki, Joji Kidani, Teruki Imai, Hiroshi Miura, Hiromasa Cancers (Basel) Article The accurate diagnosis of soft tissue tumors may be difficult. Simple clinical characteristics or laboratory data that can predict tumor malignancy can be useful tools for diagnosing soft tissue tumors. Between 2003 and 2018, 588 patients with primary soft tissue tumors were retrospectively reviewed. Their clinical characteristics and laboratory data were evaluated to determine their association with the diagnosis of benign, intermediate, or malignant tumor. Multivariable analysis revealed that tumor size ≥ 5.6 cm (odds ratio (OR), 6.15; p < 0.001), white blood cell (WBC) count ≥ 5700/µL (OR, 2.49; p = 0.002), hemoglobin (Hb) count ≤ 12.4 g/dL (OR, 2.56; p = 0.004), C-reactive protein (CRP) level ≥ 0.17 mg/dL (OR, 2.64; p < 0.001), and lactate dehydrogenase (LDH) level ≥ 240 IU/L (OR, 4.94; p < 0.001) were significant predictive factors for sarcoma. The sensitivity and specificity in the presence of three or more predictive factors for detecting malignant tumors were 0.58 and 0.90 respectively, and it was an appropriate threshold with the maximum Youden’s index of 0.49. Simple clinical and laboratory data were useful tools for predicting whether the tumor is malignant. Patients with soft tissue tumors that meet any three or more predictive factors should be referred to a specialist. MDPI 2020-03-13 /pmc/articles/PMC7140089/ /pubmed/32183216 http://dx.doi.org/10.3390/cancers12030679 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fujibuchi, Taketsugu
Miyawaki, Joji
Kidani, Teruki
Imai, Hiroshi
Miura, Hiromasa
Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data
title Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data
title_full Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data
title_fullStr Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data
title_full_unstemmed Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data
title_short Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data
title_sort prediction of soft tissue sarcoma from clinical characteristics and laboratory data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140089/
https://www.ncbi.nlm.nih.gov/pubmed/32183216
http://dx.doi.org/10.3390/cancers12030679
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