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Magnetic resonance imaging-radiomics in endometrial cancer: a systematic review and meta-analysis.
Di Donato, Violante; Kontopantelis, Evangelos; Cuccu, Ilaria; Sgamba, Ludovica; Golia D'Augè, Tullio; Pernazza, Angelina; Della Rocca, Carlo; Manganaro, Lucia; Catalano, Carlo; Perniola, Giorgia; Palaia, Innocenza; Tomao, Federica; Giannini, Andrea; Muzii, Ludovico; Bogani, Giorgio.
Affiliation
  • Di Donato V; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Kontopantelis E; Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, UK.
  • Cuccu I; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy ilaria.cuccu@uniroma1.it.
  • Sgamba L; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Golia D'Augè T; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Pernazza A; Department of Medical-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Rome, Italy.
  • Della Rocca C; Department of Medical-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Rome, Italy.
  • Manganaro L; Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Catalano C; Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Perniola G; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Palaia I; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Tomao F; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Giannini A; Department of Medical and Surgical Sciences and Translational Medicine, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Muzii L; Department of Maternal, Child Health and Urological Sciences, Policlinico Umberto I, University of Rome Sapienza, Rome, Italy.
  • Bogani G; Department of Gynecologic Oncology, IRCCS National Cancer Institute, Milan, Italy.
Int J Gynecol Cancer ; 33(7): 1070-1076, 2023 07 03.
Article in En | MEDLINE | ID: mdl-37094971
ABSTRACT

OBJECTIVE:

Endometrial carcinoma is the most common gynecological tumor in developed countries. Clinicopathological factors and molecular subtypes are used to stratify the risk of recurrence and to tailor adjuvant treatment. The present study aimed to assess the role of radiomics analysis in pre-operatively predicting molecular or clinicopathological prognostic factors in patients with endometrial carcinoma.

METHODS:

Literature was searched for publications reporting radiomics analysis in assessing diagnostic performance of MRI for different outcomes. Diagnostic accuracy performance of risk prediction models was pooled using the metandi command in Stata.

RESULTS:

A search of MEDLINE (PubMed) resulted in 153 relevant articles. Fifteen articles met the inclusion criteria, for a total of 3608 patients. MRI showed pooled sensitivity and specificity 0.785 and 0.814, respectively, in predicting high-grade endometrial carcinoma, deep myometrial invasion (pooled sensitivity and specificity 0.743 and 0.816, respectively), lymphovascular space invasion (pooled sensitivity and specificity 0.656 and 0.753, respectively), and nodal metastasis (pooled sensitivity and specificity 0.831 and 0.736, respectively).

CONCLUSIONS:

Pre-operative MRI-radiomics analyses in patients with endometrial carcinoma is a good predictor of tumor grading, deep myometrial invasion, lymphovascular space invasion, and nodal metastasis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endometrial Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limits: Female / Humans Language: En Journal: Int J Gynecol Cancer Journal subject: GINECOLOGIA / NEOPLASIAS Year: 2023 Document type: Article Affiliation country: Italy
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endometrial Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limits: Female / Humans Language: En Journal: Int J Gynecol Cancer Journal subject: GINECOLOGIA / NEOPLASIAS Year: 2023 Document type: Article Affiliation country: Italy