TY - JOUR
T1 - Magnetic resonance imaging-radiomics in endometrial cancer
T2 - a systematic review and meta-analysis
AU - Di Donato, Violante
AU - Kontopantelis, Evangelos
AU - Cuccu, Ilaria
AU - Sgamba, Ludovica
AU - Golia D'Augè, Tullio
AU - Pernazza, Angelina
AU - Della Rocca, Carlo
AU - Manganaro, Lucia
AU - Catalano, Carlo
AU - Perniola, Giorgia
AU - Palaia, Innocenza
AU - Tomao, Federica
AU - Giannini, Andrea
AU - Muzii, Ludovico
AU - Bogani, Giorgio
N1 - © IGCS and ESGO 2023. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/7/3
Y1 - 2023/7/3
N2 - 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.
AB - 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.
U2 - 10.1136/ijgc-2023-004313
DO - 10.1136/ijgc-2023-004313
M3 - Article
C2 - 37094971
SN - 1048-891X
JO - International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
JF - International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
ER -
