PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..
PURPOSE: Intrahepatic cholangiocarcinoma (IHC) is an aggressive disease with few reliable preoperative biomarkers. This study aims to elucidate if radiomics extracted from preoperative [18F]FDG PET/CT may grant a non-invasive biological characterization of IHC and predict outcome after complete resection of the tumor.
METHODS: All patients preoperatively imaged by [18F]FDG PET/CT who underwent hepatectomy for mass-forming IHC in the period 2010-2019 were retrospectively evaluated. On PET images, manual slice-by-slice segmentation of IHC was performed (Tumor-VOI). A 5-mm margin region was semi-automatically generated around the tumor (Margin-VOI). Textural analysis was performed using the LifeX software. Analyzed outcomes included tumor grading (G3 vs. G1-2), microvascular invasion (MVI), overall survival (OS), and progression-free survival (PFS). The performances of the combined clinical-radiomic models were compared with those of standard clinical models.
RESULTS: Overall, 74 patients (40 females, median age 68 years) were included. Considering tumor grading and MVI, the models combining the clinical data and radiomics of the Tumor-VOI had better performances than the clinical ones (AUC = 0.78 vs. 0.72 for grading; 0.87 vs. 0.78 for MVI). The inclusion into the models of radiomics of the Margin-VOI further improved the prediction of grading (AUC = 0.83), but not of MVI. Considering OS and PFS, the models including the preoperative clinical data and radiomics of the Tumor-VOI and Margin-VOI had better performances than the pure clinical ones (C-index = 0.81 vs. 0.76 for OS; 0.81 vs. 0.72 for PFS) and similar to the models including the pathology and postoperative data (C-index = 0.81 for OS; 0.79 for PFS). No model retained the standard SUV measures.
CONCLUSION: The PET-based radiomics of IHC can predict pathology data and allow a reliable preoperative evaluation of prognosis. The radiomics of both the tumoral and peritumoral areas had clinical relevance. The combined clinical-radiomic models outperformed the pure preoperative clinical ones and achieved performances non-inferior to the postoperative models.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:49 |
|---|---|
| Enthalten in: |
European journal of nuclear medicine and molecular imaging - 49(2022), 10 vom: 28. Aug., Seite 3387-3400 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Fiz, Francesco [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
[18F]FDG PET/CT |
|---|
| Anmerkungen: |
Date Completed 26.07.2022 Date Revised 06.09.2022 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1007/s00259-022-05765-1 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM338775714 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM338775714 | ||
| 003 | DE-627 | ||
| 005 | 20231226001428.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00259-022-05765-1 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1129.xml |
| 035 | |a (DE-627)NLM338775714 | ||
| 035 | |a (NLM)35347437 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Fiz, Francesco |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 26.07.2022 | ||
| 500 | |a Date Revised 06.09.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. | ||
| 520 | |a PURPOSE: Intrahepatic cholangiocarcinoma (IHC) is an aggressive disease with few reliable preoperative biomarkers. This study aims to elucidate if radiomics extracted from preoperative [18F]FDG PET/CT may grant a non-invasive biological characterization of IHC and predict outcome after complete resection of the tumor | ||
| 520 | |a METHODS: All patients preoperatively imaged by [18F]FDG PET/CT who underwent hepatectomy for mass-forming IHC in the period 2010-2019 were retrospectively evaluated. On PET images, manual slice-by-slice segmentation of IHC was performed (Tumor-VOI). A 5-mm margin region was semi-automatically generated around the tumor (Margin-VOI). Textural analysis was performed using the LifeX software. Analyzed outcomes included tumor grading (G3 vs. G1-2), microvascular invasion (MVI), overall survival (OS), and progression-free survival (PFS). The performances of the combined clinical-radiomic models were compared with those of standard clinical models | ||
| 520 | |a RESULTS: Overall, 74 patients (40 females, median age 68 years) were included. Considering tumor grading and MVI, the models combining the clinical data and radiomics of the Tumor-VOI had better performances than the clinical ones (AUC = 0.78 vs. 0.72 for grading; 0.87 vs. 0.78 for MVI). The inclusion into the models of radiomics of the Margin-VOI further improved the prediction of grading (AUC = 0.83), but not of MVI. Considering OS and PFS, the models including the preoperative clinical data and radiomics of the Tumor-VOI and Margin-VOI had better performances than the pure clinical ones (C-index = 0.81 vs. 0.76 for OS; 0.81 vs. 0.72 for PFS) and similar to the models including the pathology and postoperative data (C-index = 0.81 for OS; 0.79 for PFS). No model retained the standard SUV measures | ||
| 520 | |a CONCLUSION: The PET-based radiomics of IHC can predict pathology data and allow a reliable preoperative evaluation of prognosis. The radiomics of both the tumoral and peritumoral areas had clinical relevance. The combined clinical-radiomic models outperformed the pure preoperative clinical ones and achieved performances non-inferior to the postoperative models | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Biomarkers | |
| 650 | 4 | |a Intrahepatic cholangiocarcinoma | |
| 650 | 4 | |a Prognosis | |
| 650 | 4 | |a Radiomics | |
| 650 | 4 | |a Texture analysis | |
| 650 | 4 | |a [18F]FDG PET/CT | |
| 650 | 7 | |a Fluorodeoxyglucose F18 |2 NLM | |
| 650 | 7 | |a 0Z5B2CJX4D |2 NLM | |
| 700 | 1 | |a Masci, Chiara |e verfasserin |4 aut | |
| 700 | 1 | |a Costa, Guido |e verfasserin |4 aut | |
| 700 | 1 | |a Sollini, Martina |e verfasserin |4 aut | |
| 700 | 1 | |a Chiti, Arturo |e verfasserin |4 aut | |
| 700 | 1 | |a Ieva, Francesca |e verfasserin |4 aut | |
| 700 | 1 | |a Torzilli, Guido |e verfasserin |4 aut | |
| 700 | 1 | |a Viganò, Luca |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t European journal of nuclear medicine and molecular imaging |d 2002 |g 49(2022), 10 vom: 28. Aug., Seite 3387-3400 |w (DE-627)NLM116957360 |x 1619-7089 |7 nnns |
| 773 | 1 | 8 | |g volume:49 |g year:2022 |g number:10 |g day:28 |g month:08 |g pages:3387-3400 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/s00259-022-05765-1 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 49 |j 2022 |e 10 |b 28 |c 08 |h 3387-3400 | ||