Comparison of different automatic methods for the delineation of the total metabolic tumor volume in I–II stage Hodgkin Lymphoma
Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in t...
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| Published in | Scientific reports Vol. 10; no. 1; pp. 12590 - 10 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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London
Nature Publishing Group UK
28.07.2020
Nature Publishing Group Nature Portfolio |
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| Online Access | Get full text |
| ISSN | 2045-2322 2045-2322 |
| DOI | 10.1038/s41598-020-69577-9 |
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| Abstract | Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in tumor delimitation such as SUV-based thresholds (2.5, 41% and 50%) and software tools (Beth Israel plugin (BI) and LIFEx). Effect of contouring procedure both including single and multiple regions of interest was also studied in patients with multiple lesions, and optimal cut-offs for each studied method were displayed to compare the effect on prognosis. Strong alikeness in TMTV was found for 2.5 under software choice
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Best accuracy in contouring compared to visual assessment of the disease was found for BI multiple ROI and LIFEx single ROI drawing. Similar cut-offs were found between both software for all considered thresholds, but best resemblance and highest cut-off due to an overestimation of the TMTV was found for 2.5 SUV. Our findings suggest that optimal reproducibility in TMTV is found for SUV > 2.5 threshold under choice of contouring methodology or software tool, meaning that overestimation of the TMTV threshold using 2.5 looks to be preferable than underestimation with 41% and 50%. |
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| AbstractList | Abstract Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in tumor delimitation such as SUV-based thresholds (2.5, 41% and 50%) and software tools (Beth Israel plugin (BI) and LIFEx). Effect of contouring procedure both including single and multiple regions of interest was also studied in patients with multiple lesions, and optimal cut-offs for each studied method were displayed to compare the effect on prognosis. Strong alikeness in TMTV was found for 2.5 under software choice. Best accuracy in contouring compared to visual assessment of the disease was found for BI multiple ROI and LIFEx single ROI drawing. Similar cut-offs were found between both software for all considered thresholds, but best resemblance and highest cut-off due to an overestimation of the TMTV was found for 2.5 SUV. Our findings suggest that optimal reproducibility in TMTV is found for SUV > 2.5 threshold under choice of contouring methodology or software tool, meaning that overestimation of the TMTV threshold using 2.5 looks to be preferable than underestimation with 41% and 50%. Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in tumor delimitation such as SUV-based thresholds (2.5, 41% and 50%) and software tools (Beth Israel plugin (BI) and LIFEx). Effect of contouring procedure both including single and multiple regions of interest was also studied in patients with multiple lesions, and optimal cut-offs for each studied method were displayed to compare the effect on prognosis. Strong alikeness in TMTV was found for 2.5 under software choice. Best accuracy in contouring compared to visual assessment of the disease was found for BI multiple ROI and LIFEx single ROI drawing. Similar cut-offs were found between both software for all considered thresholds, but best resemblance and highest cut-off due to an overestimation of the TMTV was found for 2.5 SUV. Our findings suggest that optimal reproducibility in TMTV is found for SUV > 2.5 threshold under choice of contouring methodology or software tool, meaning that overestimation of the TMTV threshold using 2.5 looks to be preferable than underestimation with 41% and 50%. Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in tumor delimitation such as SUV-based thresholds (2.5, 41% and 50%) and software tools (Beth Israel plugin (BI) and LIFEx). Effect of contouring procedure both including single and multiple regions of interest was also studied in patients with multiple lesions, and optimal cut-offs for each studied method were displayed to compare the effect on prognosis. Strong alikeness in TMTV was found for 2.5 under software choice . Best accuracy in contouring compared to visual assessment of the disease was found for BI multiple ROI and LIFEx single ROI drawing. Similar cut-offs were found between both software for all considered thresholds, but best resemblance and highest cut-off due to an overestimation of the TMTV was found for 2.5 SUV. Our findings suggest that optimal reproducibility in TMTV is found for SUV > 2.5 threshold under choice of contouring methodology or software tool, meaning that overestimation of the TMTV threshold using 2.5 looks to be preferable than underestimation with 41% and 50%. Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in tumor delimitation such as SUV-based thresholds (2.5, 41% and 50%) and software tools (Beth Israel plugin (BI) and LIFEx). Effect of contouring procedure both including single and multiple regions of interest was also studied in patients with multiple lesions, and optimal cut-offs for each studied method were displayed to compare the effect on prognosis. Strong alikeness in TMTV was found for 2.5 under software choice. Best accuracy in contouring compared to visual assessment of the disease was found for BI multiple ROI and LIFEx single ROI drawing. Similar cut-offs were found between both software for all considered thresholds, but best resemblance and highest cut-off due to an overestimation of the TMTV was found for 2.5 SUV. Our findings suggest that optimal reproducibility in TMTV is found for SUV > 2.5 threshold under choice of contouring methodology or software tool, meaning that overestimation of the TMTV threshold using 2.5 looks to be preferable than underestimation with 41% and 50%.Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that allows prediction of patient outcome. The aim of this study was to evaluate the TMTV reproducibility between different sources of variability in tumor delimitation such as SUV-based thresholds (2.5, 41% and 50%) and software tools (Beth Israel plugin (BI) and LIFEx). Effect of contouring procedure both including single and multiple regions of interest was also studied in patients with multiple lesions, and optimal cut-offs for each studied method were displayed to compare the effect on prognosis. Strong alikeness in TMTV was found for 2.5 under software choice. Best accuracy in contouring compared to visual assessment of the disease was found for BI multiple ROI and LIFEx single ROI drawing. Similar cut-offs were found between both software for all considered thresholds, but best resemblance and highest cut-off due to an overestimation of the TMTV was found for 2.5 SUV. Our findings suggest that optimal reproducibility in TMTV is found for SUV > 2.5 threshold under choice of contouring methodology or software tool, meaning that overestimation of the TMTV threshold using 2.5 looks to be preferable than underestimation with 41% and 50%. |
| ArticleNumber | 12590 |
| Author | Sabaté-Llobera, Aida Palomar-Muñoz, Azahara Cortés-Romera, Montse Domingo-Domènech, Eva Martín-Saladich, Queralt Reynés-Llompart, Gabriel |
| Author_xml | – sequence: 1 givenname: Queralt surname: Martín-Saladich fullname: Martín-Saladich, Queralt organization: Medical Physics Department, Institut Català d’Oncologia, L’Hospitalet de Llobregat – sequence: 2 givenname: Gabriel surname: Reynés-Llompart fullname: Reynés-Llompart, Gabriel email: greynes@iconcologia.net organization: Medical Physics Department, Institut Català d’Oncologia, L’Hospitalet de Llobregat, PET Unit, Nuclear Medicine Department, IDI, Hospital U. de Bellvitge-IDIBELL, L’Hospitalet de Llobregat – sequence: 3 givenname: Aida surname: Sabaté-Llobera fullname: Sabaté-Llobera, Aida organization: PET Unit, Nuclear Medicine Department, IDI, Hospital U. de Bellvitge-IDIBELL, L’Hospitalet de Llobregat – sequence: 4 givenname: Azahara surname: Palomar-Muñoz fullname: Palomar-Muñoz, Azahara organization: PET Unit, Nuclear Medicine Department, IDI, Hospital U. de Bellvitge-IDIBELL, L’Hospitalet de Llobregat – sequence: 5 givenname: Eva surname: Domingo-Domènech fullname: Domingo-Domènech, Eva organization: Hematology Department, Institut Català d’Oncologia, L’Hospitalet de Llobregat – sequence: 6 givenname: Montse surname: Cortés-Romera fullname: Cortés-Romera, Montse organization: PET Unit, Nuclear Medicine Department, IDI, Hospital U. de Bellvitge-IDIBELL, L’Hospitalet de Llobregat |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32724136$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1007_s40336_022_00481_0 crossref_primary_10_24835_1607_0763_1343 crossref_primary_10_1016_j_clml_2022_09_009 crossref_primary_10_37174_2587_7593_2021_4_4_28_39 crossref_primary_10_1097_MNM_0000000000001867 crossref_primary_10_1002_mp_17763 crossref_primary_10_1007_s00259_022_06075_2 crossref_primary_10_2967_jnmt_122_264714 crossref_primary_10_2967_jnumed_121_263067 crossref_primary_10_3390_jcm11206223 crossref_primary_10_3389_fonc_2022_974029 crossref_primary_10_1097_LVT_0000000000000535 crossref_primary_10_1186_s41824_023_00184_3 |
| Cites_doi | 10.1371/journal.pone.0140830 10.1109/NSSMIC.2013.6829383 10.1200/JCO.2015.63.1119 10.1111/cas.12282 10.2967/jnumed.116.180406 10.1186/1748-717X-7-5 10.1158/0008-5472.CAN-18-0125 10.1002/(SICI)1097-0142(19971215)80:12+<2505::AID-CNCR24>3.0.CO;2-F 10.1053/j.semnuclmed.2017.09.005 10.2967/jnumed.107.042093 10.1007/s00259-014-2961-x 10.1007/s13139-017-0493-6 10.1016/j.ctrv.2019.06.002 10.2967/jnumed.119.227249 10.1182/asheducation-2014.1.135 10.1002/mp.12986 10.1007/s00259-018-3938-y |
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| Snippet | Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients that... Abstract Total metabolic tumor volume (TMTV) is a promising quantitative biomarker for therapy assessment and prognosis in Hodgkin Lymphoma affected patients... |
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| SubjectTerms | 692/4017 692/4028 Adolescent Adult Aged, 80 and over Computer programs Female Hodgkin Disease - diagnostic imaging Hodgkin Disease - pathology Hodgkin's lymphoma Humanities and Social Sciences Humans Lymphoma Male Metabolism Middle Aged multidisciplinary Positron Emission Tomography Computed Tomography Prognosis Progression-Free Survival Reproducibility of Results Science Science (multidisciplinary) Software Tumor Burden Young Adult |
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| Title | Comparison of different automatic methods for the delineation of the total metabolic tumor volume in I–II stage Hodgkin Lymphoma |
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