Microvascular　invasion　(MVI)　is　a　critical　risk　factor　for　postoperative　recurrence　of　hepatocellular　carcinoma　(HCC).　This　study　aimed　to　firstly　develop　and　validate　nomograms　based　on　MVI　grade　for　predicting　recurrence,　especially　early　recurrence,　and　overall　survival　in　patients　with　early-stage　HCC　after　curative　resection.　We　retrospectively　reviewed　the　data　of　patients　with　early-stage　HCC　who　underwent　curative　hepatectomy　in　the　First　Affiliated　Hospital　of　Fujian　Medical　University　(FHFU)　and　Mengchao　Hepatobiliary　Hospital　of　Fujian　Medical　University　(MHH).　Kaplan-Meier　curves　and　Cox　proportional　hazards　regression　models　were　used　to　analyse　disease-free　survival　(DFS)　and　overall　survival　(OS).　Nomogram　models　were　constructed　on　the　datasets　from　the　70%　samples　of　and　FHFU,　which　were　validated　using　bootstrap　resampling　with　30%　samples　as　internal　validation　and　data　of　patients　from　MHH　as　external　validation.　A　total　of　703　patients　with　early-stage　HCC　were　included　to　create　a　nomogram　for　predicting　recurrence　or　metastasis　(DFS　nomogram)　and　a　nomogram　for　predicting　survival　(OS　nomogram).　The　concordance　indexes　and　calibration　curves　in　the　training　and　validation　cohorts　showed　optimal　agreement　between　the　predicted　and　observed　DFS　and　OS　rates.　The　predictive　accuracy　was　significantly　better　than　that　of　the　classic　HCC　staging　systems.