Diagnostic accuracy of calculated tumor volumes and apparent diffusion coefficient values in predicting endometrial cancer grade
Background: Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion. Materials and Methods: This was a single-center retrospective study performed on...
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| Published in | International journal of applied and basic medical research Vol. 12; no. 1; pp. 37 - 42 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
India
Wolters Kluwer India Pvt. Ltd
01.01.2022
Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd Wolters Kluwer - Medknow |
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| Online Access | Get full text |
| ISSN | 2229-516X 2248-9606 |
| DOI | 10.4103/ijabmr.ijabmr_553_21 |
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| Abstract | Background: Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion. Materials and Methods: This was a single-center retrospective study performed on patients with histopathologically proven endometrial carcinoma who underwent an MRI examination of the pelvis between October 2017 and May 2020. Results: In the present analysis, mean apparent diffusion coefficient (ADC) values for each histologic grade were 0.72 ± 0.13 × 10−3 mm2/s (G1), 0.76 ± 0.17 × 10−3 mm2/s (G2), and 0.74 ± 0.12 × 10−3 mm2/s (G3), respectively, showing no significant correlation between ADC values and tumor grade (P = 0.73). Overall, ADC minimum was significant in differentiating grades of endometrial carcinoma (P = 0.02) with the ability to differentiate Grade I and II lesions (P = 0.01). A mean tumor volume of 25.2 cc could differentiate low-grade tumors (Grade I and Grade II) from high-grade tumors (Grade III) with a sensitivity and specificity of 88% and specificity of 89%. The tumor volume/uterine volume ratio (TV/UV) differentiates high-grade tumors from low-grade tumors (P < 0.001), however, no significant difference in the ratio was observed among Grade I and II lesions (P = 0.48). The area under the curve of tumor volume was 0.875 (95% confidence interval 0.0-1.00) (P = 0.001), indicating that tumor volume was an effective tool for distinguishing high-grade and low-grade endometrioid adenocarcinomas. The corresponding sensitivity and specificity were 88.0% and 89.0%, respectively. Conclusion: Preoperative noninvasive radiological assessment for tumor volume, TV/ UV or tumor volume/uterine volume is important surrogate markers for preoperative prognostication of endometrial carcinoma. |
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| AbstractList | Background: Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion. Materials and Methods: This was a single-center retrospective study performed on patients with histopathologically proven endometrial carcinoma who underwent an MRI examination of the pelvis between October 2017 and May 2020. Results: In the present analysis, mean apparent diffusion coefficient (ADC) values for each histologic grade were 0.72 ± 0.13 × 10−3 mm2/s (G1), 0.76 ± 0.17 × 10−3 mm2/s (G2), and 0.74 ± 0.12 × 10−3 mm2/s (G3), respectively, showing no significant correlation between ADC values and tumor grade (P = 0.73). Overall, ADC minimum was significant in differentiating grades of endometrial carcinoma (P = 0.02) with the ability to differentiate Grade I and II lesions (P = 0.01). A mean tumor volume of 25.2 cc could differentiate low-grade tumors (Grade I and Grade II) from high-grade tumors (Grade III) with a sensitivity and specificity of 88% and specificity of 89%. The tumor volume/uterine volume ratio (TV/UV) differentiates high-grade tumors from low-grade tumors (P < 0.001), however, no significant difference in the ratio was observed among Grade I and II lesions (P = 0.48). The area under the curve of tumor volume was 0.875 (95% confidence interval 0.0-1.00) (P = 0.001), indicating that tumor volume was an effective tool for distinguishing high-grade and low-grade endometrioid adenocarcinomas. The corresponding sensitivity and specificity were 88.0% and 89.0%, respectively. Conclusion: Preoperative noninvasive radiological assessment for tumor volume, TV/ UV or tumor volume/uterine volume is important surrogate markers for preoperative prognostication of endometrial carcinoma. Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion.BackgroundMagnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion.This was a single-center retrospective study performed on patients with histopathologically proven endometrial carcinoma who underwent an MRI examination of the pelvis between October 2017 and May 2020.Materials and MethodsThis was a single-center retrospective study performed on patients with histopathologically proven endometrial carcinoma who underwent an MRI examination of the pelvis between October 2017 and May 2020.In the present analysis, mean apparent diffusion coefficient (ADC) values for each histologic grade were 0.72 ± 0.13 × 10-3 mm2/s (G1), 0.76 ± 0.17 × 10-3 mm2/s (G2), and 0.74 ± 0.12 × 10-3 mm2/s (G3), respectively, showing no significant correlation between ADC values and tumor grade (P = 0.73). Overall, ADC minimum was significant in differentiating grades of endometrial carcinoma (P = 0.02) with the ability to differentiate Grade I and II lesions (P = 0.01). A mean tumor volume of 25.2 cc could differentiate low-grade tumors (Grade I and Grade II) from high-grade tumors (Grade III) with a sensitivity and specificity of 88% and specificity of 89%. The tumor volume/uterine volume ratio (TV/UV) differentiates high-grade tumors from low-grade tumors (P < 0.001), however, no significant difference in the ratio was observed among Grade I and II lesions (P = 0.48). The area under the curve of tumor volume was 0.875 (95% confidence interval 0.0-1.00) (P = 0.001), indicating that tumor volume was an effective tool for distinguishing high-grade and low-grade endometrioid adenocarcinomas. The corresponding sensitivity and specificity were 88.0% and 89.0%, respectively.ResultsIn the present analysis, mean apparent diffusion coefficient (ADC) values for each histologic grade were 0.72 ± 0.13 × 10-3 mm2/s (G1), 0.76 ± 0.17 × 10-3 mm2/s (G2), and 0.74 ± 0.12 × 10-3 mm2/s (G3), respectively, showing no significant correlation between ADC values and tumor grade (P = 0.73). Overall, ADC minimum was significant in differentiating grades of endometrial carcinoma (P = 0.02) with the ability to differentiate Grade I and II lesions (P = 0.01). A mean tumor volume of 25.2 cc could differentiate low-grade tumors (Grade I and Grade II) from high-grade tumors (Grade III) with a sensitivity and specificity of 88% and specificity of 89%. The tumor volume/uterine volume ratio (TV/UV) differentiates high-grade tumors from low-grade tumors (P < 0.001), however, no significant difference in the ratio was observed among Grade I and II lesions (P = 0.48). The area under the curve of tumor volume was 0.875 (95% confidence interval 0.0-1.00) (P = 0.001), indicating that tumor volume was an effective tool for distinguishing high-grade and low-grade endometrioid adenocarcinomas. The corresponding sensitivity and specificity were 88.0% and 89.0%, respectively.Preoperative noninvasive radiological assessment for tumor volume, TV/ UV or tumor volume/uterine volume is important surrogate markers for preoperative prognostication of endometrial carcinoma.ConclusionPreoperative noninvasive radiological assessment for tumor volume, TV/ UV or tumor volume/uterine volume is important surrogate markers for preoperative prognostication of endometrial carcinoma. Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion. This was a single-center retrospective study performed on patients with histopathologically proven endometrial carcinoma who underwent an MRI examination of the pelvis between October 2017 and May 2020. In the present analysis, mean apparent diffusion coefficient (ADC) values for each histologic grade were 0.72 ± 0.13 × 10 mm /s (G1), 0.76 ± 0.17 × 10 mm /s (G2), and 0.74 ± 0.12 × 10 mm /s (G3), respectively, showing no significant correlation between ADC values and tumor grade ( = 0.73). Overall, ADC minimum was significant in differentiating grades of endometrial carcinoma ( = 0.02) with the ability to differentiate Grade I and II lesions ( = 0.01). A mean tumor volume of 25.2 cc could differentiate low-grade tumors (Grade I and Grade II) from high-grade tumors (Grade III) with a sensitivity and specificity of 88% and specificity of 89%. The tumor volume/uterine volume ratio (TV/UV) differentiates high-grade tumors from low-grade tumors ( < 0.001), however, no significant difference in the ratio was observed among Grade I and II lesions ( = 0.48). The area under the curve of tumor volume was 0.875 (95% confidence interval 0.0-1.00) ( = 0.001), indicating that tumor volume was an effective tool for distinguishing high-grade and low-grade endometrioid adenocarcinomas. The corresponding sensitivity and specificity were 88.0% and 89.0%, respectively. Preoperative noninvasive radiological assessment for tumor volume, TV/ UV or tumor volume/uterine volume is important surrogate markers for preoperative prognostication of endometrial carcinoma. |
| Audience | Academic |
| Author | Cioni, Dania Saggar, Kavita Jain, Kunal Bansal, Namita Kakkar, Chandan Gupta, Kamini Narang, Vikram Singh, Aminder Neri, Emanuele |
| AuthorAffiliation | 1 Department of Translational Research, University of Pisa, Pisa, Italy 3 Department of Medical Oncology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India 5 Department of Biostatistics, Dayanand Medical College and Hospital, Ludhiana, Punjab, India 2 Department of Radiodiagnosis and Imaging, Dayanand Medical College and Hospital, Ludhiana, Punjab, India 4 Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India |
| AuthorAffiliation_xml | – name: 1 Department of Translational Research, University of Pisa, Pisa, Italy – name: 4 Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India – name: 2 Department of Radiodiagnosis and Imaging, Dayanand Medical College and Hospital, Ludhiana, Punjab, India – name: 5 Department of Biostatistics, Dayanand Medical College and Hospital, Ludhiana, Punjab, India – name: 3 Department of Medical Oncology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India |
| Author_xml | – sequence: 1 givenname: Chandan surname: Kakkar fullname: Kakkar, Chandan organization: Department of Translational Research, University of Pisa, Pisa, Italy; Department of Radiodiagnosis, Dayanand Medical College and Hospital, Ludhiana, Punjab, India – sequence: 2 givenname: Kamini surname: Gupta fullname: Gupta, Kamini organization: Department of Radiodiagnosis, Dayanand Medical College and Hospital, Ludhiana, Punjab – sequence: 3 givenname: Kunal surname: Jain fullname: Jain, Kunal organization: Department of Medical Oncology, Dayanand Medical College and Hospital, Ludhiana, Punjab – sequence: 4 givenname: Vikram surname: Narang fullname: Narang, Vikram organization: Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab – sequence: 5 givenname: Aminder surname: Singh fullname: Singh, Aminder organization: Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab – sequence: 6 givenname: Kavita surname: Saggar fullname: Saggar, Kavita organization: Department of Radiodiagnosis, Dayanand Medical College and Hospital, Ludhiana, Punjab – sequence: 7 givenname: Namita surname: Bansal fullname: Bansal, Namita organization: Department of Biostatistics, Dayanand Medical College and Hospital, Ludhiana, Punjab – sequence: 8 givenname: Dania surname: Cioni fullname: Cioni, Dania organization: Department of Translational Research, University of Pisa, Pisa – sequence: 9 givenname: Emanuele surname: Neri fullname: Neri, Emanuele organization: Department of Translational Research, University of Pisa, Pisa |
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| CitedBy_id | crossref_primary_10_3389_fonc_2023_1081134 crossref_primary_10_3390_cancers16152647 crossref_primary_10_1016_j_radi_2022_04_004 crossref_primary_10_3389_fonc_2023_1109495 |
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| Keywords | magnetic resonance imaging tumor volume Endometrial carcinoma grade |
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| Snippet | Background: Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial... Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and... |
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| StartPage | 37 |
| SubjectTerms | Cancer Diagnosis Diagnostic imaging Endometrial cancer Magnetic resonance imaging Medical research Medicine, Experimental Original Tumors |
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| Title | Diagnostic accuracy of calculated tumor volumes and apparent diffusion coefficient values in predicting endometrial cancer grade |
| URI | http://www.ijabmr.org/article.asp?issn=2229-516X;year=2022;volume=12;issue=1;spage=37;epage=42;aulast=Kakkar;type=0 https://www.ncbi.nlm.nih.gov/pubmed/35265479 https://www.proquest.com/docview/2625442833 https://www.proquest.com/docview/2638012826 https://pubmed.ncbi.nlm.nih.gov/PMC8848552 |
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