Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy.


Journal

La Radiologia medica
ISSN: 1826-6983
Titre abrégé: Radiol Med
Pays: Italy
ID NLM: 0177625

Informations de publication

Date de publication:
May 2022
Historique:
received: 16 12 2021
accepted: 08 03 2022
pubmed: 25 3 2022
medline: 18 5 2022
entrez: 24 3 2022
Statut: ppublish

Résumé

The aim of this study is to determine if radiomics features extracted from staging magnetic resonance (MR) images could predict 2-year long-term clinical outcome in patients with locally advanced cervical cancer (LACC) after neoadjuvant chemoradiotherapy (NACRT). We retrospectively enrolled patients with LACC diagnosis who underwent NACRT followed by radical surgery in two different institutions. Radiomics features were extracted from pre-treatment 1.5 T T2w MR images. The predictive performance of each feature was quantified in terms of Wilcoxon-Mann-Whitney test. Among the significant features, Pearson correlation coefficient (PCC) was calculated to quantify the correlation among the different predictors. A logistic regression model was calculated considering the two most significant features at the univariate analysis showing the lowest PCC value. The predictive performance of the model created was quantified out using the area under the receiver operating characteristic curve (AUC). A total of 175 patients were retrospectively enrolled (142 for the training cohort and 33 for the validation one). 1896 radiomic feature were extracted, 91 of which showed significance (p < 0.05) at the univariate analysis. The radiomic model showing the highest predictive value combined the features calculated starting from the gray level co-occurrence-based features. This model achieved an AUC of 0.73 in the training set and 0.91 in the validation set. The proposed radiomic model showed promising performances in predicting 2-year overall survival before NACRT. Nevertheless, the observed results should be tested in larger studies with consistent external validation cohorts, to confirm their potential clinical use.

Identifiants

pubmed: 35325372
doi: 10.1007/s11547-022-01482-9
pii: 10.1007/s11547-022-01482-9
pmc: PMC9098600
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

498-506

Informations de copyright

© 2022. The Author(s).

Références

H Sung J Ferlay RL Siegel M Laversanne I Soerjomataram A Jemal 2020 Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA Canc J Clini https://doi.org/10.3322/CAAC.21660
doi: 10.3322/CAAC.21660
R Pötter K Tanderup C Kirisits A Leeuw de K Kirchheiner R Nout 2018 The EMBRACE II study: the outcome and prospect of two decades of evolution within the GEC-ESTRO GYN working group and the EMBRACE studies Clin Transl Radiat Oncol 9 48 60 https://doi.org/10.1016/j.ctro.2018.01.001
doi: 10.1016/j.ctro.2018.01.001 pubmed: 29594251 pmcid: 5862686
NR Abu-Rustum CM Yashar S Bean K Bradley SM Campos HS Chon 2020 NCCN guidelines insights: cervical cancer, version 1 J Nat Compreh Cancer Network JNCCN https://doi.org/10.6004/JNCCN.2020.0027
doi: 10.6004/JNCCN.2020.0027
C Marth F Landoni S Mahner M McCormack A Gonzalez-Martin N Colombo 2017 Cervical cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up Annal Oncol https://doi.org/10.1093/annonc/mdx220
doi: 10.1093/annonc/mdx220
M Resbeut D Cowen P Viens M Noirclerc T Perez J Gouvernet 1994 Concomitant chemoradiation prior to surgery in the treatment of advanced cervical carcinoma Gynecol Oncol 54 68 75 https://doi.org/10.1006/GYNO.1994.1168
doi: 10.1006/GYNO.1994.1168 pubmed: 8020842
PE Colombo MM Bertrand M Gutowski A Mourregot M Fabbro B Saint-Aubert 2009 Total laparoscopic radical hysterectomy for locally advanced cervical carcinoma (stages IIB, IIA and bulky stages IB) after concurrent chemoradiation therapy: Surgical morbidity and oncological results Gynecol Oncol 114 404 409 https://doi.org/10.1016/J.YGYNO.2009.05.043
doi: 10.1016/J.YGYNO.2009.05.043 pubmed: 19555996
G Ferrandina F Legge A Fagotti F Fanfani M Distefano A Morganti 2007 Preoperative concomitant chemoradiotherapy in locally advanced cervical cancer: Safety, outcome, and prognostic measures Gynecol Oncol 107 S127 S132 https://doi.org/10.1016/j.ygyno.2007.07.006
doi: 10.1016/j.ygyno.2007.07.006 pubmed: 17727936
F Fanfani E Vizza F Landoni P Iaco de G Ferrandina G Corrado 2016 Radical hysterectomy after chemoradiation in FIGO stage III cervical cancer patients versus chemoradiation and brachytherapy: complications and 3-years survival Eur J Surg Oncol 42 1519 1525 https://doi.org/10.1016/J.EJSO.2016.05.011
doi: 10.1016/J.EJSO.2016.05.011 pubmed: 27241922
D Mariagrazia F Anna F Gabriella F Francesco S Daniela D Giuseppe 2005 Preoperative chemoradiotherapy in locally advanced cervical cancer: Long-term outcome and complications Gynecol Oncol 99 S166 S170 https://doi.org/10.1016/j.ygyno.2005.07.074
doi: 10.1016/j.ygyno.2005.07.074 pubmed: 16150482
G Ferrandina A Gambacorta V Gallotta D Smaniotto A Fagotti L Tagliaferri 2014 Chemoradiation With concomitant boosts followed by radical surgery in locally advanced cervical cancer: long-term results of the ROMA-2 prospective phase 2 study Int J Radiat Oncol Biol Phys 90 778 785 https://doi.org/10.1016/J.IJROBP.2014.07.033
doi: 10.1016/J.IJROBP.2014.07.033 pubmed: 25585781
E Sala AG Rockall SJ Freeman DG Mitchell C Reinhold 2013 The added role of MR imaging in treatment stratification of patients with gynecologic malignancies: what the radiologist needs to know Radiology 266 717 740 https://doi.org/10.1148/RADIOL.12120315
doi: 10.1148/RADIOL.12120315 pubmed: 23431227
P Balcacer A Shergill B Litkouhi 2019 MRI of cervical cancer with a surgical perspective: staging, prognostic implications and pitfalls Abdom Radiol (New York) https://doi.org/10.1007/S00261-019-01984-7
doi: 10.1007/S00261-019-01984-7
L Russo B Gui M Miccò C Panico R Vincenzo De F Fanfani 2021 Diagnostic imaging in oncology The role of MRI in cervical cancer > 2 cm (FIGO stage IB2-IIA1) conservatively treated with neoadjuvant chemotherapy followed by conization: a pilot study Radiol med https://doi.org/10.1007/s11547-021-01377-1
doi: 10.1007/s11547-021-01377-1 pubmed: 34748151 pmcid: 8292245
P Lambin E Rios-Velazquez R Leijenaar S Carvalho RGPM Stiphout Van P Granton 2012 Radiomics: extracting more information from medical images using advanced feature analysis Eur J Cancer 48 441 446 https://doi.org/10.1016/j.ejca.2011.11.036
doi: 10.1016/j.ejca.2011.11.036 pubmed: 22257792 pmcid: 4533986
RJ Gillies PE Kinahan H Hricak 2016 Radiomics: images are more than pictures, they are data Radiology 278 563 577 https://doi.org/10.1148/radiol.2015151169
doi: 10.1148/radiol.2015151169 pubmed: 26579733
P Lambin RTH Leijenaar TM Deist J Peerlings EEC Jong de J Timmeren van 2017 Radiomics: the bridge between medical imaging and personalized medicine Nat Rev Clin Oncol 14 749 762 https://doi.org/10.1038/nrclinonc.2017.141
doi: 10.1038/nrclinonc.2017.141 pubmed: 28975929
Z Liu S Wang D Dong J Wei C Fang X Zhou 2019 The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges Theranostics 9 1303 1322 https://doi.org/10.7150/thno.30309
doi: 10.7150/thno.30309 pubmed: 30867832 pmcid: 6401507
V Nardone L Boldrini R Grassi D Franceschini I Morelli C Becherini 2021 Radiomics in the setting of neoadjuvant radiotherapy: a new approach for tailored treatment Cancers 13 3590 https://doi.org/10.3390/cancers13143590
doi: 10.3390/cancers13143590 pubmed: 34298803 pmcid: 8303203
D Cusumano N Dinapoli L Boldrini G Chiloiro R Gatta C Masciocchi 2018 Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer Radiologia Medica 123 286 295 https://doi.org/10.1007/s11547-017-0838-3
doi: 10.1007/s11547-017-0838-3 pubmed: 29230678
L Boldrini D Cusumano G Chiloiro C Casà C Masciocchi J Lenkowicz 2019 Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach La Radiologia Medica https://doi.org/10.1007/s11547-018-0951-y
doi: 10.1007/s11547-018-0951-y pubmed: 31591701
M Fang Y Kan D Dong T Yu N Zhao W Jiang 2020 Multi-habitat based radiomics for the prediction of treatment response to concurrent chemotherapy and radiation therapy in locally advanced cervical cancer Front Oncol 10 563 https://doi.org/10.3389/fonc.2020.00563
doi: 10.3389/fonc.2020.00563 pubmed: 32432035 pmcid: 7214615
JC Ho PK Allen PR Bhosale GM Rauch CD Fuller ASR Mohamed 2017 Diffusion-weighted MRI as a predictor of outcome in cervical cancer following chemoradiation Int J Radiat Oncol Biol Phys 97 546 https://doi.org/10.1016/J.IJROBP.2016.11.015
doi: 10.1016/J.IJROBP.2016.11.015 pubmed: 28011045
AM Perrone G Dondi M Coe M Ferioli S Telo A Galuppi 2020 Predictive role of MRI and 18F FDG PET response to concurrent chemoradiation in T2b cervical cancer on clinical outcome: a retrospective single center study Cancers 12 659 https://doi.org/10.3390/cancers12030659
doi: 10.3390/cancers12030659 pmcid: 7139894
SR Bowen WTC Yuh DS Hippe W Wu SC Partridge S Elias 2018 Tumor radiomic heterogeneity: multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy J Magn Reson Imaging 47 1388 1396 https://doi.org/10.1002/JMRI.25874
doi: 10.1002/JMRI.25874 pubmed: 29044908
B Gui R Autorino M Miccò A Nardangeli A Pesce J Lenkowicz 2021 Pretreatment MRI radiomics based response prediction model in locally advanced cervical cancer Diagnostics 11 631 https://doi.org/10.3390/diagnostics11040631
doi: 10.3390/diagnostics11040631 pubmed: 33807494 pmcid: 8066099
D Albano M Benenati A Bruno F Bruno M Calandri D Caruso 2021 Imaging side effects and complications of chemotherapy and radiation therapy: a pictorial review from head to toe Insight Imag https://doi.org/10.1186/s13244-021-01017-2
doi: 10.1186/s13244-021-01017-2
D Querleu CP Morrow 2008 Classification of radical hysterectomy Lancet Oncol 9 297 303 https://doi.org/10.1016/S1470-2045(08)70074-3
doi: 10.1016/S1470-2045(08)70074-3 pubmed: 18308255
GF Zannoni VG Vellone A Carbone 2008 Morphological effects of radiochemotherapy on cervical carcinoma: a morphological study of 50 cases of hysterectomy specimens after neoadjuvant treatment Int J Gynecol Pathol: Offi J Int Soci Gynecol Pathol 27 274 281 https://doi.org/10.1097/PGP.0B013E31815B1263
doi: 10.1097/PGP.0B013E31815B1263
R Gatta M Vallati N Dinapoli C Masciocchi J Lenkowicz D Cusumano 2019 Towards a modular decision support system for radiomics: a case study on rectal cancer Artif Intell Med 96 145 153 https://doi.org/10.1016/J.ARTMED.2018.09.003
doi: 10.1016/J.ARTMED.2018.09.003 pubmed: 30292538
D Cusumano G Meijer J Lenkowicz G Chiloiro L Boldrini C Masciocchi 2021 A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer Radiol Medica 126 421 429 https://doi.org/10.1007/S11547-020-01266-Z/FIGURES/2
doi: 10.1007/S11547-020-01266-Z/FIGURES/2
A Zwanenburg M Vallières MA Abdalah HJWL Aerts V Andrearczyk A Apte 2020 The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping Radiology 295 328 338 https://doi.org/10.1148/RADIOL.2020191145
doi: 10.1148/RADIOL.2020191145 pubmed: 32154773
D Cusumano L Boldrini P Yadav G Yu B Musurunu G Chiloiro 2021 Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation Physica Med 84 186 191 https://doi.org/10.1016/j.ejmp.2021.03.038
doi: 10.1016/j.ejmp.2021.03.038
D Cusumano L Boldrini P Yadav G Yu B Musurunu G Chiloiro 2020 External validation of early regression index (ERITCP) as predictor of pathologic complete response in rectal cancer using magnetic resonance-guided radiation therapy Int J Radiat Oncol Biol Phys 108 1347 1356 https://doi.org/10.1016/j.ijrobp.2020.07.2323
doi: 10.1016/j.ijrobp.2020.07.2323 pubmed: 32758641
J Taylor 1997 Introduction to error analysis, the study of uncertainties in physical measurements 2 University Science Books NY
D Cusumano L Boldrini P Yadav C Casà SL Lee A Romano 2021 Delta radiomics analysis for local control prediction in pancreatic cancer patients treated using magnetic resonance guided radiotherapy Diagnostics 11 72 https://doi.org/10.3390/diagnostics11010072
doi: 10.3390/diagnostics11010072 pubmed: 33466307 pmcid: 7824764
C Parmar P Grossmann J Bussink P Lambin HJWL Aerts 2015 Machine learning methods for quantitative radiomic biomarkers Sci Rep 5 13087 https://doi.org/10.1038/srep13087
doi: 10.1038/srep13087 pubmed: 26278466 pmcid: 4538374
ICRU Report 79, Receiver Operating Characteristic (ROC) Analysis in Medical Imaging – ICRU n.d. https://www.icru.org/report/receiver-operating-characteristic-roc-analysis-in-medical-imaging-icru-report-79/ (accessed December 1, 2021)
MD Ruopp NJ Perkins BW Whitcomb EF Schisterman 2008 Youden Index and optimal cut-point estimated from observations affected by a lower limit of detection Biometr J Biometr Zeitsch 50 419 430 https://doi.org/10.1002/BIMJ.200710415
doi: 10.1002/BIMJ.200710415
X Robin N Turck A Hainard N Tiberti F Lisacek JC Sanchez 2011 pROC: an open-source package for R and S+ to analyze and compare ROC curves BMC Bioinfor https://doi.org/10.1186/1471-2105-12-77
doi: 10.1186/1471-2105-12-77
JK Schwarz BA Siegel F Dehdashti PW Grigsby 2012 Metabolic response on post-therapy FDG-PET predicts patterns of failure after radiotherapy for cervical cancer Int J Radiat Oncol Biol Phys 83 185 190 https://doi.org/10.1016/J.IJROBP.2011.05.053
doi: 10.1016/J.IJROBP.2011.05.053 pubmed: 22014958
GM Lima A Matti G Vara G Dondi N Naselli EM Crescenzo De 2018 Prognostic value of posttreatment 18F-FDG PET/CT and predictors of metabolic response to therapy in patients with locally advanced cervical cancer treated with concomitant chemoradiation therapy: an analysis of intensity- and volume-based PET parameters Eur J Nucl Med Mol Imaging 45 2139 2146 https://doi.org/10.1007/S00259-018-4077-1/TABLES/4
doi: 10.1007/S00259-018-4077-1/TABLES/4 pubmed: 30069578 pmcid: 6182406
F Yang MA Thomas F Dehdashti PW Grigsby 2013 Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer Eur J Nucl Med Molecul Imag https://doi.org/10.1007/S00259-012-2332-4
doi: 10.1007/S00259-012-2332-4
F Lucia D Visvikis MC Desseroit O Miranda JP Malhaire P Robin 2018 Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy Eur J Nucl Med Mol Imag 45 768 786 https://doi.org/10.1007/s00259-017-3898-7
doi: 10.1007/s00259-017-3898-7
A Yao Z Haiyan X Congying J Xiance 2020 Radiomics in cervical cancer: Current applications and future potential Critical Rev OncolHematol https://doi.org/10.1016/J.CRITREVONC.2020.102985
doi: 10.1016/J.CRITREVONC.2020.102985
G Chiloiro P Rodriguez-Carnero J Lenkowicz C Casà C Masciocchi L Boldrini 2020 Delta radiomics can predict distant metastasis in locally advanced rectal cancer: the challenge to personalize the cure Front Oncol 10 2680 https://doi.org/10.3389/FONC.2020.595012/BIBTEX
doi: 10.3389/FONC.2020.595012/BIBTEX
GS Collins JB Reitsma DG Altman KGM Moons 2015 Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement Ann Intern Med 162 55 63 https://doi.org/10.7326/M14-0697
doi: 10.7326/M14-0697 pubmed: 25560714
AR Localio CB Stack 2015 TRIPOD: a new reporting baseline for developing and interpreting prediction models Ann Inter Med https://doi.org/10.7326/M14-2423
doi: 10.7326/M14-2423
L Fournier L Costaridou L Bidaut N Michoux FE Lecouvet LF Geus-Oei de 2021 Incorporating radiomics into clinical trials: expert consensus endorsed by the european society of radiology on considerations for data-driven compared to biologically driven quantitative biomarkers Eur Radiol 31 6001 6012 https://doi.org/10.1007/S00330-020-07598-8
doi: 10.1007/S00330-020-07598-8 pubmed: 33492473 pmcid: 8270834

Auteurs

Rosa Autorino (R)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Benedetta Gui (B)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Giulia Panza (G)

Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168, Roma, Italy. giuliapnz91@gmail.com.

Luca Boldrini (L)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Davide Cusumano (D)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.
Mater Olbia Hospital, 07026, Olbia, SS, Italy.

Luca Russo (L)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Alessia Nardangeli (A)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Salvatore Persiani (S)

Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168, Roma, Italy.

Maura Campitelli (M)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Gabriella Ferrandina (G)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.

Gabriella Macchia (G)

Gemelli Molise Hospital, Università Cattolica del Sacro Cuore, Campobasso, Italy.

Vincenzo Valentini (V)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.
Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168, Roma, Italy.

Maria Antonietta Gambacorta (MA)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.
Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168, Roma, Italy.

Riccardo Manfredi (R)

Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168, Roma, Italy.
Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168, Roma, Italy.

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